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Zhang X, Li YL, Kaldy JE, Suonan Z, Komatsu T, Xu S, Xu M, Wang F, Liu P, Liu X, Yue S, Zhang Y, Lee KS, Liu JX, Zhou Y. Population genetic patterns across the native and invasive range of a widely distributed seagrass: Phylogeographic structure, invasive history and conservation implications. DIVERS DISTRIB 2024; 30:1-18. [PMID: 38515563 PMCID: PMC10953713 DOI: 10.1111/ddi.13803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 11/20/2023] [Indexed: 03/23/2024] Open
Abstract
Aim The seagrass Zostera japonica is a dramatically declined endemic species in the Northwestern Pacific from the (sub)tropical to temperate areas, however, it is also an introduced species along the Pacific coast of North America from British Columbia to northern California. Understanding the population's genetic patterns can inform the conservation and management of this species. Location North Pacific. Methods We used sequences of the nuclear rDNA internal transcribed spacer (ITS) and chloroplast trnK intron maturase (matK), and 24 microsatellite loci to survey 34 native and nonnative populations (>1000 individuals) of Z. japonica throughout the entire biogeographic range. We analysed the phylogeographic relationship, population genetic structure and genetic diversity of all populations and inferred possible origins and invasion pathways of the nonnative ones. Results All markers revealed a surprising and significant deep divergence between northern and southern populations of Z. japonica in the native region separated by a well-established biogeographical boundary. A secondary contact zone was found along the coasts of South Korea and Japan. Nonnative populations were found to originate from the central Pacific coast of Japan with multiple introductions from at least two different source populations, and secondary spread was likely aided by waterfowl. Main Conclusions The divergence of the two distinct clades was likely due to the combined effects of historical isolation, adaptation to distinct environments and a contemporary physical barrier created by the Yangtze River, and the warm northward Kuroshio Current led to secondary contact after glacial separation. Existing exchanges among the nonnative populations indicate the potential for persistence and further expansion. This study not only helps to understand the underlying evolutionary potential of a widespread seagrass species following global climate change but also provides valuable insights for conservation and restoration.
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Affiliation(s)
- Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Yu-Long Li
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - James E. Kaldy
- US EPA, Pacific Ecological Systems Division, Newport, Oregon, USA
| | - Zhaxi Suonan
- Department of Biological Sciences, Pusan National University, Pusan, Korea
| | | | - Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Min Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Feng Wang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Peng Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xujia Liu
- Guangxi Key Laboratory of Marine Environmental Science, Guangxi Academy of Marine Sciences, Guangxi Academy of Sciences, Nanning, China
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Yu Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Kun-Seop Lee
- Department of Biological Sciences, Pusan National University, Pusan, Korea
| | - Jin-Xian Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
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Xu S, Kaldy JE, Zhang X, Yue S, Suonan Z, Zhou Y. Comparison of metals in eelgrass (Zostera marina L.) and the environment across the North Pacific Ocean: Environmental processes drive source delivery. Environ Pollut 2024; 343:123096. [PMID: 38070647 PMCID: PMC11025321 DOI: 10.1016/j.envpol.2023.123096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/30/2023] [Accepted: 12/02/2023] [Indexed: 12/26/2023]
Abstract
Seagrass beds play a critical role in biodiversity maintenance, serving as nursery habitats for fisheries, and aiding in carbon and sediment sequestration in the ecosystem. These habitats receive dissolved and particulate material inputs, like nutrients and heavy metals, affecting both plant health and the ecosystem. Eelgrass (Zostera marina L.), sediments, and water were randomly collected at twenty sites along the temperate North Pacific coasts of Asia and North America to assess heavy metals concentrations (Cr, Cu, Zn, Cd, and Pb). This aimed to understand heavy metal distribution and accumulation patterns in eelgrass tissues, revealing crucial factors influencing metal accumulation. The sampling included various areas, from pristine marine reserves to human-influenced zones, covering industrial, agricultural, and aquaculture regions, enabling a thorough analysis. This study's uniqueness lies in comparing heavy metal distributions in eelgrass tissues with sediments, uncovering unique accumulation patterns. Aboveground eelgrass tissues mainly accumulated Cd, Zn, and Cu, while belowground tissues stored Cr and Pb. Aboveground eelgrass tissues proved reliable in indicating Cd and Pb concentrations in sediments. However, the correlation between Cu, Zn, and Cr in eelgrass tissues and environmental concentrations seemed less direct, requiring further investigation into factors affecting metal accumulation in seagrass. Human activities are probable major contributors to heavy metal presence in Asian marine environments, whereas oceanographic processes serve as primary metal sources in North American Pacific estuaries. Critical discoveries emphasize the necessity for ongoing research on phytotoxic thresholds and in-depth studies on the complex connections between seagrass physiology and environmental metal concentrations. Understanding these dynamics is crucial for evaluating the broader impact of heavy metal pollution on coastal ecosystems and developing effective conservation measures.
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Affiliation(s)
- Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, 266071, China
| | - James E Kaldy
- Pacific Ecological Systems Division, US EPA, 2111 SE Marine Science Center Dr., Newport, OR, 97365, USA
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, 266071, China
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, 266071, China
| | - Zhaxi Suonan
- Department of Biological Sciences, Pusan National University, Buson, 46241, Republic of Korea
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, 266071, China.
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Zhang Y, Yue S, Liu M, Wang X, Xu S, Zhang X, Zhou Y. Combined transcriptome and proteome analysis reveal the key physiological processes in seed germination stimulated by decreased salinity in the seagrass Zostera marina L. BMC Plant Biol 2023; 23:605. [PMID: 38030999 PMCID: PMC10688091 DOI: 10.1186/s12870-023-04616-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 11/16/2023] [Indexed: 12/01/2023]
Abstract
BACKGROUND Zostera marina L., or eelgrass, is the most widespread seagrass species throughout the temperate northern hemisphere. Unlike the dry seeds of terrestrial plants, eelgrass seeds must survive in water, and salinity is the key factor influencing eelgrass seed germination. In the present study, transcriptome and proteome analysis were combined to investigate the mechanisms via which eelgrass seed germination was stimulated by low salinity, in addition to the dynamics of key metabolic pathways under germination. RESULTS According to the results, low salinity stimulated the activation of Ca2+ signaling and phosphatidylinositol signaling, and further initiated various germination-related physiological processes through the MAPK transduction cascade. Starch, lipids, and storage proteins were mobilized actively to provide the energy and material basis for germination; abscisic acid synthesis and signal transduction were inhibited whereas gibberellin synthesis and signal transduction were activated, weakening seed dormancy and preparing for germination; cell wall weakening and remodeling processes were activated to provide protection for cotyledon protrusion; in addition, multiple antioxidant systems were activated to alleviate oxidative stress generated during the germination process; ERF transcription factor has the highest number in both stages suggested an active role in eelgrass seed germination. CONCLUSION In summary, for the first time, the present study investigated the mechanisms by which eelgrass seed germination was stimulated by low salinity and analyzed the transcriptomic and proteomic features during eelgrass seed germination comprehensively. The results of the present study enhanced our understanding of seagrass seed germination, especially the molecular ecology of seagrass seeds.
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Affiliation(s)
- Yu Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, 266071, China
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, 266071, China
| | - Mingjie Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, 266071, China
| | - Xinhua Wang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, 266071, China
| | - Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, 266071, China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, 266071, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China.
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China.
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China.
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, 266071, China.
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Xu S, Yu Z, Zhou Y, Yue S, Liang J, Zhang X. The potential for large-scale kelp aquaculture to counteract marine eutrophication by nutrient removal. Mar Pollut Bull 2023; 187:114513. [PMID: 36638717 DOI: 10.1016/j.marpolbul.2022.114513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 12/02/2022] [Accepted: 12/16/2022] [Indexed: 06/17/2023]
Abstract
Large-scale kelp aquaculture offers several opportunities to counteract eutrophication. Here, six sites from Ailian Bay to its offshore waters in Rongcheng, northern China, were selected to investigate the spatiotemporal variations of kelp (Saccharina japonica) and seawater concentrations of C, N, and P in 2017 and 2019 in order to assess nutrient removal by kelp farming. Variations in biological parameters and elemental nutrient concentrations of whole thalli were also quantified in 2015 and 2016. We found that kelp farming in Ailian Bay can remove 1309 tons of C, 104 tons of N, and 12 tons of P. The increase of total suspended matter and nutrient concentrations from the coast to offshore waters supports the hypothesis of nutrient removal by farmed kelp. This study provides evidence of the bioremediation potential of farmed kelp.
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Affiliation(s)
- Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China
| | - Zonghe Yu
- College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China.
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China
| | - Junhua Liang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China.
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Li F, Li W, Yang Y, He Z, Liu D, Guo H, Zheng T, Yue S, Ma Y, Li W, Qi Y. 304TiP Minimal residual disease (MRD)-guided adjuvant tislelizumab after adjuvant chemotherapy in resected stage IIA-IIIB non-small cell lung cancer (NSCLC): A single-arm phase II study (Seagull). Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022] Open
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Qiao Y, Zhang Y, Xu S, Yue S, Zhang X, Liu M, Sun L, Jia X, Zhou Y. Multi-leveled insights into the response of the eelgrass Zostera marina L to Cu than Cd exposure. Sci Total Environ 2022; 845:157057. [PMID: 35780896 DOI: 10.1016/j.scitotenv.2022.157057] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 06/06/2022] [Accepted: 06/25/2022] [Indexed: 06/15/2023]
Abstract
Seagrass beds are recognized as critical and among the most vulnerable habitats on the planet; seagrass colonize the coastal waters where heavy metal pollution is a serious problem. In this study, the toxic effects of copper and cadmium in the eelgrass Zostera marina L. were observed at the individual, subcellular, physiologically biochemical, and molecular levels. Both Cu and Cd stress significantly inhibited the growth and the maximal quantum yield of photosystem II (Fv/Fm); and high temperature increased the degree of heavy metal damage, while low temperatures inhibited damage. The half-effect concentration (EC50) of eelgrass was 28.9 μM for Cu and 2246.8 μM for Cd, indicating Cu was much more toxic to eelgrass than Cd. The effect of Cu and Cd on photosynthesis was synergistic. After 14 days of enrichment, the concentration of Cu in leaves and roots of Z. marina was 48 and 37 times higher than that in leaf sheath, and 14 and 11 times higher than that in rhizome; and the order of Cd concentration in the organs was root > leaf > rhizome > sheath. Heavy metal uptake mainly occurred in the organelles, and Cd enrichment also occurred to a certain extent in the cytoplasm. Transcriptome results showed that a number of photosynthesis-related KEGG enrichment pathways and GO terms were significantly down-regulated under Cd stress, suggesting that the photosynthetic system of eelgrass was severely damaged at the transcriptome level, which was consistent with the significant inhibition of Fv/Fm and leaf yellowing. Under Cu stress, the genes related to glutathione metabolic pathway were significantly up-regulated, together with the increased autioxidant enzyme activity of GSH-PX. In addition, the results of recovery experiment indicated that the damage caused by short-term Cd and Cu stress under EC50 was reversible. These results provide heavy metal toxic effects at multiple levels and information relating to the heavy metal resistance strategies evolved by Z. marina to absorb and isolate heavy metals, and highlight the phytoremediation potential of this species especially for Cd.
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Affiliation(s)
- Yongliang Qiao
- School of Environment and Safety Engineering, Qingdao University of Science and Technology, Qingdao 266042, China; CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China
| | - Yu Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China
| | - Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China
| | - Mingjie Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China
| | - Lingling Sun
- Public Tech-Supporting Center, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
| | - Xiaoping Jia
- School of Environment and Safety Engineering, Qingdao University of Science and Technology, Qingdao 266042, China.
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China.
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Xu S, Zhang Y, Zhou Y, Xu S, Yue S, Liu M, Zhang X. Warming northward shifting southern limits of the iconic temperate seagrass (Zostera marina). iScience 2022; 25:104755. [PMID: 35958026 PMCID: PMC9357840 DOI: 10.1016/j.isci.2022.104755] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 05/26/2022] [Accepted: 07/08/2022] [Indexed: 11/19/2022] Open
Abstract
Global warming can shift the range edges of numerous species poleward. Here, eelgrass distribution was reinvestigated at its southern limits on the eastern coast of China, which indicated that there has been a northward shift in the southern limit of Z. marina. To determine if regional warming resulted in a northward shift in suitable eelgrass habitats, sixteen transplantations of adult eelgrass shoots and seeds at the historical southern distribution limit of eelgrass were conducted between 2016 and 2021. The results showed that high water temperatures in summer had negative effects on eelgrass growth, and directly triggered shoot mortality during 2016–2018. Under heat stress, antioxidant enzyme activity was initially increased, but then decreased under more stressful heat conditions; and the HSP70 protein and its molecular chaperone protein were highly expressed under heat stress. These results demonstrated that suitable eelgrass habitat was now located further north along the eastern coast of China. High temperatures trigger seagrass (Zostera marina L.) restoration failure None seedlings and adult shoots survived the first or second summer Over-summering shoots with lower density, height, and rhizome diameter Warming northward shifting eelgrass habitat range along the eastern coast of China
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Affiliation(s)
- Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yu Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China
- Corresponding author
| | - Shuai Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Mingjie Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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Gao C, Luo LL, Yue S, Wang FT, Duan XM, Qian YD, Dong YJ, Li HY, Yue J, Xu RX, Liu Y, Gong YD. [Gender differences of genetic etiology in the incidence of major depressive disorder among Han freshmen]. Zhonghua Yi Xue Za Zhi 2022; 102:1437-1444. [PMID: 35599408 DOI: 10.3760/112137-20220130-00224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To analyze the gender differences of genetic etiology in the incidence of major depression disorder among Han freshmen. Methods: A 1-year follow-up survey was carried out among 8 079 Han freshmen from Jining, Rizhao and Weifang without lifetime major depressive disorder (MDD) at baseline (April to October 2018) and 4 828 venous blood samples were also collected. After extracting DNA, Sequenom Mass Array time-of-flight mass spectrometry biochip technology was used to detect the genotypes of 17 single nucleotide polymorphisms (SNPs) MDD-related loci. Logistic regression was used for univariate analysis. Generalized multifactor dimension reduction was used to analyze gene-gene interactions. Composite International Diagnostic Interview (CIDI) 3.0 was used for MDD diagnosis. Results: The 1-year incidence of MDD among Han freshmen was 2.23% (95%CI: 1.91%-2.60%) and the gender difference of incidence between males (1.97%, 95%CI: 1.52%-2.56%) and females (2.39%, 95%CI: 1.98%-2.90%) was not statistically significant (P>0.05). AG genotype of rs768705 (nearby gene: TMEM161B) was a risk factor for MDD (OR=1.98, 95%CI: 1.24-2.83). The TC genotype of rs17727765 (nearby gene: CRYBA1) was only a risk factor for MDD in males (OR=9.61, 95%CI: 2.04-45.30). An 8-loci interaction model (PMFBP1, OLFM4, LHPP, ENOX1, TMEM161B, SPPL3, FBXL4 and L3MBTL2) could predict MDD in women with an accuracy rate of 60.05%. No effective prediction model was found for MDD in men. Conclusions: There might be gender differences in the genetic etiology of MDD. Further researches on the genetic causes of MDD in men should be explored.
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Affiliation(s)
- C Gao
- School of Mental Health, Jining Medical University, Jining 272013, China
| | - L L Luo
- School of Basic Medicine, Weifang Medical University, Weifang 261053, China
| | - S Yue
- School of Basic Medicine, Weifang Medical University, Weifang 261053, China
| | - F T Wang
- School of Mental Health, Jining Medical University, Jining 272013, China
| | - X M Duan
- Center of Evidence-Based Medicine, Jining Medical University, Jining 272013, China
| | - Y D Qian
- School of Mental Health, Jining Medical University, Jining 272013, China
| | - Y J Dong
- School of Mental Health, Jining Medical University, Jining 272013, China
| | - H Y Li
- Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - J Yue
- School of Public Health, Weifang Medical University, Weifang 261053, China
| | - R X Xu
- School of Public Health, Yantai Medical University, Yantai 264003, China
| | - Y Liu
- Center of Evidence-Based Medicine, Jining Medical University, Jining 272013, China
| | - Y D Gong
- Shandong Mental Health Center, Shandong University, Jinan 250014, China
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9
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Xu S, Xu S, Zhou Y, Yue S, Zhang X, Gu R, Zhang Y, Qiao Y, Liu M, Zhang Y, Zhang Z. Do adult eelgrass shoots rule seedling fate in a large seagrass meadow in a eutrophic bay in northern China? Mar Pollut Bull 2022; 178:113499. [PMID: 35398686 DOI: 10.1016/j.marpolbul.2022.113499] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 12/31/2021] [Accepted: 02/24/2022] [Indexed: 06/14/2023]
Abstract
We conducted field sampling over 19 months to investigate eelgrass population reproduction status and ecological interactions in a large seagrass meadow in a eutrophic bay in northern China. The results showed asexual growth played an important role in the maintenance of existing meadows, and sexual reproduction played a critical role in the colonization of new areas. We conclude that adult eelgrass shoots do rule the fate of seedlings in the large seagrass meadow. Additionally, nutrient resources (N and P) at this location were found to meet eelgrass growth demand. The N/P ratios of seawater and seagrass indicated N limitation relative to P in the eutrophic bay based on the seagrass Redfield ratio (25-30). Nutrient uptake by seagrass might be an important factor in reducing the probability of a red tide in the study area. The results of this study provide fundamental information for eelgrass restoration and conservation.
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Affiliation(s)
- Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuai Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China.
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China
| | - Ruiting Gu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yu Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yongliang Qiao
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
| | - Mingjie Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yunling Zhang
- Hebei Provincial Technology Innovation Center for Coastal Ecology Rehabilitation, Tangshan 063610, China
| | - Zhenhai Zhang
- Hebei Provincial Technology Innovation Center for Coastal Ecology Rehabilitation, Tangshan 063610, China
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10
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Abstract
PURPOSE Erectile dysfunction and COVID-19 share similar risk factors, including vascular disruption of integrity, cytokine release, cardiovascular disease, diabetes and obesity. The aim of this study was to investigate the association between erectile dysfunction and COVID-19 patients. METHODS Odds ratio for erectile dysfunction in patients with a history of COVID-19 with and without comorbidities were calculated using a patients' registry platform i2b2. ICD-10 diagnoses codes were accessed for queries and data were analyzed using logistic regression. RESULTS Patients with COVID-19 were 3.3 times more likely to have erectile dysfunction with 95% CI (2.8, 3.8). The association became stronger with odds ratio 4.8 (95% CI (4.1, 5.7)) after adjusting for age groups. The odds ratio remained the same after adjusting for smoking status with 3.5 (95% CI (3.0, 4.1)). After adjusting for race, COVID-19 patients were 2.6 (95% CI (2.2, 3.1)) times more likely to have erectile dysfunction. The odds ratio were 1.6, 1.8, 1.9 and 2.3 after adjusting for respiratory disease, obesity, circulatory disease and diabetes, respectively. CONCLUSION COVID-19 and erectile dysfunction are strongly associated even after adjustment for known risk factors and demographics.
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Affiliation(s)
- J Katz
- Department of Oral and Diagnostic Sciences, University of Florida College of Dentistry, POB 100414-0414, Gainesville, FL, 32610, USA.
| | - S Yue
- Department of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, USA
| | - W Xue
- Department of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, USA
| | - H Gao
- Department of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, USA
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11
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Xu S, Zhou Y, Qiao Y, Yue S, Zhang X, Zhang Y, Liu M, Zhang Y, Zhang Z. Seagrass restoration using seed ball burial in northern China. Restor Ecol 2022. [DOI: 10.1111/rec.13691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences Institute of Oceanology, Chinese Academy of Sciences Qingdao 266071 China
- Laboratory for Marine Ecology and Environmental Science Qingdao National Laboratory for Marine Science and Technology Qingdao 266237 China
- Center for Ocean Mega‐Science, Chinese Academy of Sciences Qingdao 266071 China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology Chinese Academy of Sciences Qingdao 266071 China
- University of Chinese Academy of Sciences Beijing 100049 China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences Institute of Oceanology, Chinese Academy of Sciences Qingdao 266071 China
- Laboratory for Marine Ecology and Environmental Science Qingdao National Laboratory for Marine Science and Technology Qingdao 266237 China
- Center for Ocean Mega‐Science, Chinese Academy of Sciences Qingdao 266071 China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology Chinese Academy of Sciences Qingdao 266071 China
- University of Chinese Academy of Sciences Beijing 100049 China
| | - Yongliang Qiao
- Qingdao University of Science and Technology Qingdao 266000 China
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences Institute of Oceanology, Chinese Academy of Sciences Qingdao 266071 China
- Laboratory for Marine Ecology and Environmental Science Qingdao National Laboratory for Marine Science and Technology Qingdao 266237 China
- Center for Ocean Mega‐Science, Chinese Academy of Sciences Qingdao 266071 China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology Chinese Academy of Sciences Qingdao 266071 China
- University of Chinese Academy of Sciences Beijing 100049 China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences Institute of Oceanology, Chinese Academy of Sciences Qingdao 266071 China
- Laboratory for Marine Ecology and Environmental Science Qingdao National Laboratory for Marine Science and Technology Qingdao 266237 China
- Center for Ocean Mega‐Science, Chinese Academy of Sciences Qingdao 266071 China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology Chinese Academy of Sciences Qingdao 266071 China
- Shandong Province Key Laboratory of Experimental Marine Biology Qingdao 266071 China
| | - Yu Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences Institute of Oceanology, Chinese Academy of Sciences Qingdao 266071 China
- Laboratory for Marine Ecology and Environmental Science Qingdao National Laboratory for Marine Science and Technology Qingdao 266237 China
- Center for Ocean Mega‐Science, Chinese Academy of Sciences Qingdao 266071 China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology Chinese Academy of Sciences Qingdao 266071 China
- University of Chinese Academy of Sciences Beijing 100049 China
| | - Mingjie Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences Institute of Oceanology, Chinese Academy of Sciences Qingdao 266071 China
- Laboratory for Marine Ecology and Environmental Science Qingdao National Laboratory for Marine Science and Technology Qingdao 266237 China
- Center for Ocean Mega‐Science, Chinese Academy of Sciences Qingdao 266071 China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology Chinese Academy of Sciences Qingdao 266071 China
- University of Chinese Academy of Sciences Beijing 100049 China
| | - Yunling Zhang
- Hebei Provincial Technology Innovation Center for Coastal Ecology Rehabilitation Tangshan 063610 China
| | - Zhenhai Zhang
- Hebei Provincial Technology Innovation Center for Coastal Ecology Rehabilitation Tangshan 063610 China
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12
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Angloher G, Dafinei I, Marco ND, Ferroni F, Fichtinger S, Filipponi A, Friedl M, Fuss A, Ge Z, Heikinheimo M, Huitu K, Maji R, Mancuso M, Pagnanini L, Petricca F, Pirro S, Pröbst F, Profeta G, Puiu A, Reindl F, Schäffner K, Schieck J, Schmiedmayer D, Schwertner C, Stahlberg M, Stendahl A, Wagner F, Yue S, Zema V, Zhu Y, Pandola L. Simulation-based design study for the passive shielding of the COSINUS dark matter experiment. Eur Phys J C Part Fields 2022; 82:248. [PMID: 35399983 PMCID: PMC8940824 DOI: 10.1140/epjc/s10052-022-10184-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 03/04/2022] [Indexed: 06/14/2023]
Abstract
The COSINUS (Cryogenic Observatory for SIgnatures seen in Next-generation Underground Searches) experiment aims at the detection of dark matter-induced recoils in sodium iodide (NaI) crystals operated as scintillating cryogenic calorimeters. The detection of both scintillation light and phonons allows performing an event-by-event signal to background discrimination, thus enhancing the sensitivity of the experiment. The choice of using NaI crystals is motivated by the goal of probing the long-standing DAMA/LIBRA results using the same target material. The construction of the experimental facility is foreseen to start by 2021 at the INFN Gran Sasso National Laboratory (LNGS) in Italy. It consists of a cryostat housing the target crystals shielded from the external radioactivity by a water tank acting, at the same time, as an active veto against cosmic ray-induced events. Taking into account both environmental radioactivity and intrinsic contamination of materials used for cryostat, shielding and infrastructure, we performed a careful background budget estimation. The goal is to evaluate the number of events that could mimic or interfere with signal detection while optimising the geometry of the experimental setup. In this paper we present the results of the detailed Monte Carlo simulations we performed, together with the final design of the setup that minimises the residual amount of background particles reaching the detector volume.
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Affiliation(s)
- G. Angloher
- Max-Planck-Institut für Physik, 80805 Munich, Germany
| | | | - N. Di Marco
- Gran Sasso Science Institute, 67100 L’Aquila, Italy
- INFN-Laboratori Nazionali del Gran Sasso, 67010 Assergi, Italy
| | - F. Ferroni
- INFN-Sezione di Roma, 00185 Rome, Italy
- Gran Sasso Science Institute, 67100 L’Aquila, Italy
| | - S. Fichtinger
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, 1050 Vienna, Austria
| | - A. Filipponi
- INFN-Laboratori Nazionali del Gran Sasso, 67010 Assergi, Italy
- Dipartimento di Scienze Fisiche e Chimiche, Università degli Studi dell’Aquila, 67100 L’Aquila, Italy
| | - M. Friedl
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, 1050 Vienna, Austria
| | - A. Fuss
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, 1050 Vienna, Austria
- Atominstitut, Technische Universität Wien, 1020 Vienna, Austria
| | - Z. Ge
- SICCAS-Shanghai Institute of Ceramics, Shanghai, 200050 People’s Republic of China
| | | | - K. Huitu
- Helsinki Institute of Physics, 00560 Helsinki, Finland
| | - R. Maji
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, 1050 Vienna, Austria
- Atominstitut, Technische Universität Wien, 1020 Vienna, Austria
| | - M. Mancuso
- Max-Planck-Institut für Physik, 80805 Munich, Germany
| | - L. Pagnanini
- Gran Sasso Science Institute, 67100 L’Aquila, Italy
- INFN-Laboratori Nazionali del Gran Sasso, 67010 Assergi, Italy
| | - F. Petricca
- Max-Planck-Institut für Physik, 80805 Munich, Germany
| | - S. Pirro
- INFN-Laboratori Nazionali del Gran Sasso, 67010 Assergi, Italy
| | - F. Pröbst
- Max-Planck-Institut für Physik, 80805 Munich, Germany
| | - G. Profeta
- INFN-Laboratori Nazionali del Gran Sasso, 67010 Assergi, Italy
- Dipartimento di Scienze Fisiche e Chimiche, Università degli Studi dell’Aquila, 67100 L’Aquila, Italy
| | - A. Puiu
- Gran Sasso Science Institute, 67100 L’Aquila, Italy
- INFN-Laboratori Nazionali del Gran Sasso, 67010 Assergi, Italy
| | - F. Reindl
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, 1050 Vienna, Austria
- Atominstitut, Technische Universität Wien, 1020 Vienna, Austria
| | - K. Schäffner
- Max-Planck-Institut für Physik, 80805 Munich, Germany
| | - J. Schieck
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, 1050 Vienna, Austria
- Atominstitut, Technische Universität Wien, 1020 Vienna, Austria
| | - D. Schmiedmayer
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, 1050 Vienna, Austria
- Atominstitut, Technische Universität Wien, 1020 Vienna, Austria
| | - C. Schwertner
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, 1050 Vienna, Austria
- Atominstitut, Technische Universität Wien, 1020 Vienna, Austria
| | - M. Stahlberg
- Max-Planck-Institut für Physik, 80805 Munich, Germany
| | - A. Stendahl
- Helsinki Institute of Physics, 00560 Helsinki, Finland
| | - F. Wagner
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, 1050 Vienna, Austria
| | - S. Yue
- SICCAS-Shanghai Institute of Ceramics, Shanghai, 200050 People’s Republic of China
| | - V. Zema
- Max-Planck-Institut für Physik, 80805 Munich, Germany
| | - Y. Zhu
- SICCAS-Shanghai Institute of Ceramics, Shanghai, 200050 People’s Republic of China
| | | | - L. Pandola
- INFN-Laboratori Nazionali del Sud, 95125 Catania, Italy
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13
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Zhang Y, Xu S, Yue S, Zhang X, Qiao Y, Liu M, Zhou Y. Reciprocal Field Transplant Experiment and Comparative Transcriptome Analysis Provide Insights Into Differences in Seed Germination Time of Two Populations From Different Geographic Regions of Zostera marina L. Front Plant Sci 2022; 12:793060. [PMID: 35116049 PMCID: PMC8804501 DOI: 10.3389/fpls.2021.793060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 12/03/2021] [Indexed: 06/14/2023]
Abstract
Seagrasses are the only submerged marine higher plants, which can colonize the sea through sexual (via seeds) reproduction. The transition between seed dormancy and germination is an important ecological trait and a key stage in the life cycle of higher plants. According to our observations, the seeds of Zostera marina L. (eelgrass) in Swan Lake (SL) and Qingdao Bay (QB) in northern China have the same maturation time (summer) but different germination time. To investigate this phenomenon, we further carried out reciprocal transplantation experiment and transcriptome analysis. Results revealed that differences in the seed germination time between the two sites do exist and are determined by internal molecular mechanisms as opposed to environmental factors. Furthermore, we conducted comparative transcriptome analysis of seeds at the mature and early germination stages in both locations. The results that the number of genes related to energy, hormone and cell changes was higher in SL than in QB, could account for that the dormancy depth of seeds in SL was deeper than that in QB; consequently, the seeds in SL needed to mobilize more related genes to break dormancy and start germination. The results could have important practical implications for seagrass meadow restoration via seeds and provide in-depth and comprehensive data for understanding the molecular mechanisms related to seagrass seed germination.
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Affiliation(s)
- Yu Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, China
| | - Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, China
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, China
| | - Yongliang Qiao
- Qingdao University of Science and Technology, Qingdao, China
| | - Mingjie Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, China
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Yue S, Wang J. Re: Quantification of peak blood flow velocity at the cardiac valve and great thoracic vessels by four-dimensional flow and two-dimensional phase-contrast MRI compared with echocardiography: a systematic review and meta-analysis. Clin Radiol 2021; 77:314-315. [PMID: 34974914 DOI: 10.1016/j.crad.2021.11.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 11/26/2021] [Indexed: 11/03/2022]
Affiliation(s)
- S Yue
- Lanzhou University Second Hospital, Lanzhou, Gansu, China
| | - J Wang
- Lanzhou University Second Hospital, Lanzhou, Gansu, China.
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15
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Yue S, Zhang X, Xu S, Liu M, Qiao Y, Zhang Y, Liang J, Wang A, Zhou Y. The super typhoon Lekima (2019) resulted in massive losses in large seagrass (Zostera japonica) meadows, soil organic carbon and nitrogen pools in the intertidal Yellow River Delta, China. Sci Total Environ 2021; 793:148398. [PMID: 34328969 DOI: 10.1016/j.scitotenv.2021.148398] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 06/03/2021] [Accepted: 06/08/2021] [Indexed: 06/13/2023]
Abstract
Seagrass meadows are key ecosystems, and they are among the most threatened habitats on the planet. Increased numbers of extreme climate events, such as hurricanes and marine heatwaves have caused severe damage to global seagrass meadows. The largest Zostera japonica meadows in China are located in the Yellow River Delta. It had a distribution area of 1031.8 ha prior to August 2019 when the Yellow River Delta was severely impacted by the passage of typhoon Lekima. In this study, we compared field data collected before and after the typhoon to determine its impact on seagrass beds in the Yellow River Delta. The super typhoon caused dramatic changes in Z. japonica in the Yellow River Delta, resulting in a greater than 100-fold decrease in distribution area, a greater than 35% loss of soil organic carbon, and a greater than 65% loss of soil total nitrogen in the top 35 cm sediments. Owing to the lack of seeds and overwintering shoots, as well as the small remaining distribution area, recovery was impossible, even though environmental factors were still suitable for species growth. Thus, restoration efforts are required for seagrass meadow recovery. Additionally, the long-term monitoring of this meadow will provide new information on the ecosystem's status and will be useful for future protection.
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Affiliation(s)
- Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China
| | - Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China
| | - Mingjie Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China
| | - Yongliang Qiao
- Qingdao University of Science and Technology, Qingdao 266000, China
| | - Yu Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China
| | - Junhua Liang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
| | - Andong Wang
- Yellow River Delta National Nature Reserve Management Bureau, Dongying 257200, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao 266071, China.
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Yue S, Liu HG. [Research progress of obstructive sleep apnea hypopnea syndrome and upper airway dilator muscles]. Zhonghua Jie He He Hu Xi Za Zhi 2021; 44:661-664. [PMID: 34256453 DOI: 10.3760/cma.j.cn112147-20200721-00827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Xu S, Qiao Y, Xu S, Yue S, Zhang Y, Liu M, Zhang X, Zhou Y. Diversity, distribution and conservation of seagrass in coastal waters of the Liaodong Peninsula, North Yellow Sea, northern China: Implications for seagrass conservation. Mar Pollut Bull 2021; 167:112261. [PMID: 33799145 DOI: 10.1016/j.marpolbul.2021.112261] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 03/09/2021] [Accepted: 03/10/2021] [Indexed: 06/12/2023]
Abstract
Seagrass beds are highly productive coastal ecosystems that are widely distributed along temperate and tropical coastlines globally. Although seagrass distribution and diversity have been widely reported on a global scale, there have been few reports on seagrass distribution and diversity in northern China, especially for coastal waters of the Liaodong Peninsula in the North Yellow Sea. In the present study, we investigated the distribution and diversity of seagrass in coastal waters of the Liaodong Peninsula in the North Yellow Sea, northern China. Field surveys of seagrass wrack were conducted along shorelines, to identify whether seagrass beds occurred in nearby waters, and sonar methods were then used to collect data relating to seagrass bed extent. Also, we analyzed the major threats facing seagrass beds. The results of the study revealed that four species (Zostera marina L., Z. japonica Aschers. & Graebn., Z. caespitosa M., and Phyllospadix iwatensis M.) were found in study area, covering a total area of 1253.47 ha. Seagrass bed area significantly decreased with increasing water depth, and most seagrass was recorded at depths of 2-5 m. Due to the steep slope of the seabed, seagrass beds exhibited a zonal distribution in most of the study areas. In addition, the amount of seagrass wrack along shorelines could be used to infer the size and distance of seagrass beds. Human activities, such as clam harvesting, land reclamation, coastal aquaculture pose a threat to the seagrass beds. This study provides new information to fill knowledge gaps regarding seagrass distribution in northern China and it provides a baseline for further monitoring of these seagrass beds.
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Affiliation(s)
- Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yongliang Qiao
- Qingdao University of Science and Technology, Qingdao 266000, China
| | - Shuai Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yu Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Mingjie Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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Yue S, Zhou Y, Xu S, Zhang X, Liu M, Qiao Y, Gu R, Xu S, Zhang Y. Can the Non-native Salt Marsh Halophyte Spartina alterniflora Threaten Native Seagrass ( Zostera japonica) Habitats? A Case Study in the Yellow River Delta, China. Front Plant Sci 2021; 12:643425. [PMID: 34093608 PMCID: PMC8173042 DOI: 10.3389/fpls.2021.643425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 04/06/2021] [Indexed: 06/12/2023]
Abstract
Seagrass meadows are critical ecosystems, and they are among the most threatened habitats on the planet. As an anthropogenic biotic invader, Spartina alterniflora Loisel. competes with native plants, threatens native ecosystems and coastal aquaculture, and may cause local biodiversity to decline. The distribution area of the exotic species S. alterniflora in the Yellow River Delta had been expanding to ca.4,000 ha from 1990 to 2018. In this study, we reported, for the first time, the competitive effects of the exotic plant (S. alterniflora) on seagrass (Zostera japonica Asch. & Graebn.) by field investigation and a transplant experiment in the Yellow River Delta. Within the first 3 months of the field experiment, S. alterniflora had pushed forward 14 m into the Z. japonica distribution region. In the study region, the area of S. alterniflora in 2019 increased by 516 times compared with its initial area in 2015. Inhibition of Z. japonica growth increased with the invasion of S. alterniflora. Z. japonica had been degrading significantly under the pressure of S. alterniflora invasion. S. alterniflora propagates sexually via seeds for long distance invasion and asexually by tillers and rhizomes for short distance invasion. Our results describe the invasion pattern of S. alterniflora and can be used to develop strategies for prevention and control of S. alterniflora invasion.
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Affiliation(s)
- Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, China
| | - Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, China
| | - Mingjie Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, China
| | - Yongliang Qiao
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, China
- Qingdao University of Science and Technology, Qingdao, China
| | - Ruiting Gu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, China
| | - Shuai Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, China
| | - Yu Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
- Shandong Province Key Laboratory of Experimental Marine Biology, Qingdao, China
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Zhang Y, Zhao P, Yue S, Liu M, Qiao Y, Xu S, Gu R, Zhang X, Zhou Y. New insights into physiological effects of anoxia under darkness on the iconic seagrass Zostera marina based on a combined analysis of transcriptomics and metabolomics. Sci Total Environ 2021; 768:144717. [PMID: 33736305 DOI: 10.1016/j.scitotenv.2020.144717] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 12/21/2020] [Accepted: 12/23/2020] [Indexed: 06/12/2023]
Abstract
Coastal hypoxia/anoxia is a major emerging threat to global coastal ecosystems. Macroalgae blooms of tens of kilometers are often observed in open waters. These blooms not only cause a lack of oxygen, but also benthic light limitation. We explored the physiological responses of Zostera marina L. to anoxia under darkness. After exposing Z. marina to anoxia under darkness for 72 h, we measured the elongation of leaves and the decrease in maximal quantum yield of photosystem II (Fv/Fm), and investigated the transcriptomic and metabolomic responses to anoxic stress based on RNA-sequencing and liquid chromatography-mass spectrometry (LC-MS) technology. The results showed that anoxic stress significantly reduced the leaf Fv/Fm, and had a significant negative effect on the photosynthesis and growth of Z. marina. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of up-regulated differentially expressed genes (DEGs) showed that glycolysis was the most significant enrichment pathway (p < 0.001), and most of the important products in glycolysis were significantly up-regulated. This indicated that the glycolysis process of anaerobic respiration is promoted under anoxia. The metabolite results also showed that glyceraldehyde 3-phosphate in the glycolysis pathway was significantly up-regulated. Moreover, three genes encoding sucrose synthase (gene-ZOSMA_310G00150, gene-ZOSMA_81G00980, and gene-ZOSMA_8G00730) and one gene encoding alpha-amylase (gene-ZOSMA_95G00270) were significantly up-regulated, providing the sugar basis for the subsequent increase in glycolysis. Furthermore, gene-encoding oxoglutarate dehydrogenase, the rate-limiting step of the tricarboxylic acid (TCA) cycle, was significantly down-regulated, indicating that this cycle was inhibited under anoxia. Metabolomic results showed that L-tryptophan, L-phenylalanine, and DL-leucine were significantly up-regulated. Only significantly decreased glutamate and non-significantly decreased glutamine, substances consumed in alanine and γ-aminobutyric acid (GABA) shunt mechanisms, were detected in the leaves, while GABA and alanine were not detected. The results of this study show that anoxic stress induces a programmed transcriptomic and metabolomic response in seagrass, most likely reflecting a complex strategy of acclimation and adaptation in seagrass to resist anoxic stress.
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Affiliation(s)
- Yu Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Peng Zhao
- State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, 570228, China
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Mingjie Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yongliang Qiao
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; Qingdao University of Science and Technology, Qingdao, 266000, China
| | - Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ruiting Gu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
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Gu R, Song X, Zhou Y, Xu S, Xu S, Yue S, Zhang Y, Zhang X. Relationships Between Annual and Perennial Seagrass ( Ruppia sinensis) Populations and Their Sediment Geochemical Characteristics in the Yellow River Delta. Front Plant Sci 2021; 12:634199. [PMID: 33959136 PMCID: PMC8095395 DOI: 10.3389/fpls.2021.634199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 03/15/2021] [Indexed: 06/12/2023]
Abstract
Annual and perennial populations commonly occur for the same submerged aquatic angiosperm species, yet relationships between population types and sediment characteristics are poorly understood. In the current study two Ruppia sinensis habitats with annual and perennial populations were surveyed in the Yellow River Delta (YRD). Biomass and seasonal seed bank size were used to evaluate population status and potential recruitment capacity. Sediment geochemical parameters including moisture, sulfide, Chl a, carbohydrate, OM, TOC, TN, and TP were measured to compare sediment nutrient composition and variability. The results revealed a higher biomass and larger seed bank in the annual R. sinensis population compared with the perennial population. The P levels in sediments between the two R. sinensis populations were similar; while the N level in the sediment of the annual population was significantly higher than the perennial population, which might support the recruitment of vegetative shoots when a large amount of seeds germinated during wet periods. The annual population exhibited greater resilience after habitat desiccation, with the population recovering rapidly once water appeared. The results of this study add to the knowledge of R. sinensis populations and their sediment geochemical characteristics, and can be used as a reference for Ruppia population conservation and management.
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Affiliation(s)
- Ruiting Gu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Xiaoyue Song
- Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Shuai Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yu Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
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Abba A, Accorsi C, Agnes P, Alessi E, Amaudruz P, Annovi A, Desages FA, Back S, Badia C, Bagger J, Basile V, Batignani G, Bayo A, Bell B, Beschi M, Biagini D, Bianchi G, Bicelli S, Bishop D, Boccali T, Bombarda A, Bonfanti S, Bonivento WM, Bouchard M, Breviario M, Brice S, Brown R, Calvo-Mozota JM, Camozzi L, Camozzi M, Capra A, Caravati M, Carlini M, Ceccanti A, Celano B, Cela Ruiz JM, Charette C, Cogliati G, Constable M, Crippa C, Croci G, Cudmore S, Dahl CE, Dal Molin A, Daley M, Di Guardo C, D'Avenio G, Davignon O, Del Tutto M, De Ruiter J, Devoto A, Diaz Gomez Maqueo P, Di Francesco F, Dossi M, Druszkiewicz E, Duma C, Elliott E, Farina D, Fernandes C, Ferroni F, Finocchiaro G, Fiorillo G, Ford R, Foti G, Fournier RD, Franco D, Fricbergs C, Gabriele F, Galbiati C, Garcia Abia P, Gargantini A, Giacomelli L, Giacomini F, Giacomini F, Giarratana LS, Gillespie S, Giorgi D, Girma T, Gobui R, Goeldi D, Golf F, Gorel P, Gorini G, Gramellini E, Grosso G, Guescini F, Guetre E, Hackman G, Hadden T, Hawkins W, Hayashi K, Heavey A, Hersak G, Hessey N, Hockin G, Hudson K, Ianni A, Ienzi C, Ippolito V, James CC, Jillings C, Kendziora C, Khan S, Kim E, King M, King S, Kittmer A, Kochanek I, Kowalkowski J, Krücken R, Kushoro M, Kuula S, Laclaustra M, Leblond G, Lee L, Lennarz A, Leyton M, Li X, Liimatainen P, Lim C, Lindner T, Lomonaco T, Lu P, Lubna R, Lukhanin GA, Luzón G, MacDonald M, Magni G, Maharaj R, Manni S, Mapelli C, Margetak P, Martin L, Martin S, Martínez M, Massacret N, McClurg P, McDonald AB, Meazzi E, Migalla R, Mohayai T, Tosatti LM, Monzani G, Moretti C, Morrison B, Mountaniol M, Muraro A, Napoli P, Nati F, Natzke CR, Noble AJ, Norrick A, Olchanski K, Ortiz de Solorzano A, Padula F, Pallavicini M, Palumbo I, Panontin E, Papini N, Parmeggiano L, Parmeggiano S, Patel K, Patel A, Paterno M, Pellegrino C, Pelliccione P, Pesudo V, Pocar A, Pope A, Pordes S, Prelz F, Putignano O, Raaf JL, Ratti C, Razeti M, Razeto A, Reed D, Refsgaard J, Reilly T, Renshaw A, Retriere F, Riccobene E, Rigamonti D, Rizzi A, Rode J, Romualdez J, Russel L, Sablone D, Sala S, Salomoni D, Salvo P, Sandoval A, Sansoucy E, Santorelli R, Savarese C, Scapparone E, Schaubel T, Scorza S, Settimo M, Shaw B, Shawyer S, Sher A, Shi A, Skensved P, Slutsky A, Smith B, Smith NJT, Stenzler A, Straubel C, Stringari P, Suchenek M, Sur B, Tacchino S, Takeuchi L, Tardocchi M, Tartaglia R, Thomas E, Trask D, Tseng J, Tseng L, VanPagee L, Vedia V, Velghe B, Viel S, Visioli A, Viviani L, Vonica D, Wada M, Walter D, Wang H, Wang MHLS, Westerdale S, Wood D, Yates D, Yue S, Zambrano V. The novel Mechanical Ventilator Milano for the COVID-19 pandemic. Phys Fluids (1994) 2021; 33:037122. [PMID: 33897243 PMCID: PMC8060010 DOI: 10.1063/5.0044445] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Accepted: 02/14/2021] [Indexed: 06/12/2023]
Abstract
This paper presents the Mechanical Ventilator Milano (MVM), a novel intensive therapy mechanical ventilator designed for rapid, large-scale, low-cost production for the COVID-19 pandemic. Free of moving mechanical parts and requiring only a source of compressed oxygen and medical air to operate, the MVM is designed to support the long-term invasive ventilation often required for COVID-19 patients and operates in pressure-regulated ventilation modes, which minimize the risk of furthering lung trauma. The MVM was extensively tested against ISO standards in the laboratory using a breathing simulator, with good agreement between input and measured breathing parameters and performing correctly in response to fault conditions and stability tests. The MVM has obtained Emergency Use Authorization by U.S. Food and Drug Administration (FDA) for use in healthcare settings during the COVID-19 pandemic and Health Canada Medical Device Authorization for Importation or Sale, under Interim Order for Use in Relation to COVID-19. Following these certifications, mass production is ongoing and distribution is under way in several countries. The MVM was designed, tested, prepared for certification, and mass produced in the space of a few months by a unique collaboration of respiratory healthcare professionals and experimental physicists, working with industrial partners, and is an excellent ventilator candidate for this pandemic anywhere in the world.
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Affiliation(s)
- A. Abba
- Nuclear Instruments S.R.L., Como 22045, Italy
| | - C. Accorsi
- Elemaster Group S.p.A., Lomagna (LC) 23871, Italy
| | - P. Agnes
- Department of Physics, University of Houston, Houston, Texas 77204, USA
| | - E. Alessi
- Istituto per la Scienza e Tecnologia dei Plasmi, ISTP-CNR, Milano 20125, Italy
| | - P. Amaudruz
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - A. Annovi
- INFN Sezione di Pisa, Pisa 56127, Italy
| | - F. Ardellier Desages
- APC, Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France
| | - S. Back
- SNOLAB, Lively, Ontario P3Y 1N2, Canada
| | - C. Badia
- Gran Sasso Science Institute, L'Aquila 67100, Italy
| | - J. Bagger
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - V. Basile
- Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato, CNR STIIMA, Milano 20133, Italy
| | | | - A. Bayo
- LSC, Laboratorio Subterráneo de Canfranc, Canfranc-Estación 22880, Spain
| | - B. Bell
- JMP Solutions, London, Ontario N6N 1E2, Canada
| | | | - D. Biagini
- Dipartimento di Chimica e Chimica Industriale, Università di Pisa, Pisa 56124, Italy
| | - G. Bianchi
- Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato, CNR STIIMA, Milano 20133, Italy
| | - S. Bicelli
- Camozzi Group S.p.A., Brescia BS 25126, Italy
| | - D. Bishop
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | | | - A. Bombarda
- Dipartimento di Ingegneria Gestionale, dell'Informazione e della Produzione, Università di Bergamo, Bergamo, 24129, Italy
| | - S. Bonfanti
- Dipartimento di Ingegneria Gestionale, dell'Informazione e della Produzione, Università di Bergamo, Bergamo, 24129, Italy
| | | | - M. Bouchard
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | - M. Breviario
- Elemaster Group S.p.A., Lomagna (LC) 23871, Italy
| | - S. Brice
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - R. Brown
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | - J. M. Calvo-Mozota
- LSC, Laboratorio Subterráneo de Canfranc, Canfranc-Estación 22880, Spain
| | - L. Camozzi
- Camozzi Group S.p.A., Brescia BS 25126, Italy
| | - M. Camozzi
- Camozzi Group S.p.A., Brescia BS 25126, Italy
| | - A. Capra
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - M. Caravati
- INFN Sezione di Cagliari, Cagliari 09042, Italy
| | - M. Carlini
- Gran Sasso Science Institute, L'Aquila 67100, Italy
| | | | - B. Celano
- INFN Sezione di Napoli, Napoli 80126, Italy
| | - J. M. Cela Ruiz
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain
| | - C. Charette
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | - G. Cogliati
- Elemaster Group S.p.A., Lomagna (LC) 23871, Italy
| | - M. Constable
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - C. Crippa
- Elemaster Group S.p.A., Lomagna (LC) 23871, Italy
| | - G. Croci
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano 20126, Italy
| | - S. Cudmore
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | | | - A. Dal Molin
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano 20126, Italy
| | - M. Daley
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | - C. Di Guardo
- Dipartimento di Scienze Economiche ed Aziendali, Università degli Studi di Cagliari, Cagliari 09042, Italy
| | - G. D'Avenio
- National Center for Innovative Technologies in Public Health, ISS (Italy National Institute of Health), Roma 00161, Italy
| | - O. Davignon
- Laboratoire Leprince Ringuet, École Polytechnique, Palaiseau, Cedex 91128, France
| | - M. Del Tutto
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - J. De Ruiter
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | - A. Devoto
- Dipartimento di Fisica, Università degli Studi di Cagliari, Cagliari 09042, Italy
| | | | - F. Di Francesco
- Dipartimento di Chimica e Chimica Industriale, Università di Pisa, Pisa 56124, Italy
| | - M. Dossi
- Elemaster Group S.p.A., Lomagna (LC) 23871, Italy
| | - E. Druszkiewicz
- Department of Physics and Astronomy, University of Rochester, Rochester, New York 14627, USA
| | - C. Duma
- INFN-CNAF, Bologna 40127, Italy
| | - E. Elliott
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | - D. Farina
- Istituto per la Scienza e Tecnologia dei Plasmi, ISTP-CNR, Milano 20125, Italy
| | | | | | | | | | - R. Ford
- SNOLAB, Lively, Ontario P3Y 1N2, Canada
| | | | | | - D. Franco
- APC, Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France
| | | | - F. Gabriele
- INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy
| | | | - P. Garcia Abia
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain
| | - A. Gargantini
- Dipartimento di Ingegneria Gestionale, dell'Informazione e della Produzione, Università di Bergamo, Bergamo, 24129, Italy
| | - L. Giacomelli
- Istituto per la Scienza e Tecnologia dei Plasmi, ISTP-CNR, Milano 20125, Italy
| | | | | | | | - S. Gillespie
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - D. Giorgi
- Camozzi Group S.p.A., Brescia BS 25126, Italy
| | - T. Girma
- VEXOS, Markham, Ontario L3R 9X6, Canada
| | - R. Gobui
- VEXOS, Markham, Ontario L3R 9X6, Canada
| | | | - F. Golf
- Department of Physics and Astronomy, University of Nebraska-Lincoln, Lincoln, Nebraska 68508, USA
| | - P. Gorel
- SNOLAB, Lively, Ontario P3Y 1N2, Canada
| | - G. Gorini
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano 20126, Italy
| | - E. Gramellini
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - G. Grosso
- Istituto per la Scienza e Tecnologia dei Plasmi, ISTP-CNR, Milano 20125, Italy
| | - F. Guescini
- Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), 80805 München, Germany
| | - E. Guetre
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - G. Hackman
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - T. Hadden
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | | | - K. Hayashi
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - A. Heavey
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - G. Hersak
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | - N. Hessey
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - G. Hockin
- JMP Solutions, London, Ontario N6N 1E2, Canada
| | - K. Hudson
- VEXOS, Markham, Ontario L3R 9X6, Canada
| | - A. Ianni
- Physics Department, Princeton University, Princeton, New Jersey 08544, USA
| | - C. Ienzi
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | | | - C. C. James
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | | | - C. Kendziora
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - S. Khan
- VEXOS, Markham, Ontario L3R 9X6, Canada
| | - E. Kim
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | - M. King
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | - S. King
- JMP Solutions, London, Ontario N6N 1E2, Canada
| | - A. Kittmer
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | - I. Kochanek
- INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy
| | - J. Kowalkowski
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | | | - M. Kushoro
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano 20126, Italy
| | - S. Kuula
- SNOLAB, Lively, Ontario P3Y 1N2, Canada
| | | | - G. Leblond
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | - L. Lee
- Department of APT, Faculty of Medicine, University of British Columbia, Vancouver V5Z 1M9, Canada
| | - A. Lennarz
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - M. Leyton
- INFN Sezione di Napoli, Napoli 80126, Italy
| | - X. Li
- Physics Department, Princeton University, Princeton, New Jersey 08544, USA
| | | | - C. Lim
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - T. Lindner
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - T. Lomonaco
- Dipartimento di Chimica e Chimica Industriale, Università di Pisa, Pisa 56124, Italy
| | - P. Lu
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - R. Lubna
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - G. A. Lukhanin
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - G. Luzón
- CAPA (Centro de Astropartículas y Física de Altas Energías), Universidad de Zaragoza, Zaragoza 50009, Spain
| | - M. MacDonald
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | - G. Magni
- Elemaster Group S.p.A., Lomagna (LC) 23871, Italy
| | - R. Maharaj
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - S. Manni
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - C. Mapelli
- Dipartimento di Meccanica, Politecnico di Milano, Milano 20156, Italy
| | - P. Margetak
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - L. Martin
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - S. Martin
- VEXOS, Markham, Ontario L3R 9X6, Canada
| | | | - N. Massacret
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - P. McClurg
- Department of Respiratory and Anaesthesia Technology, Vanier College, Montréal, Quebec H4L 3X9, Canada
| | | | - E. Meazzi
- Elemaster Group S.p.A., Lomagna (LC) 23871, Italy
| | | | - T. Mohayai
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - L. M. Tosatti
- Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato, CNR STIIMA, Milano 20133, Italy
| | - G. Monzani
- Elemaster Group S.p.A., Lomagna (LC) 23871, Italy
| | - C. Moretti
- Dipartimento di Pediatria, Sapienza Università di Roma, Roma 00185, Italy
| | | | | | - A. Muraro
- Istituto per la Scienza e Tecnologia dei Plasmi, ISTP-CNR, Milano 20125, Italy
| | - P. Napoli
- Elemaster Group S.p.A., Lomagna (LC) 23871, Italy
| | - F. Nati
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano 20126, Italy
| | - C. R. Natzke
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | | | - A. Norrick
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - K. Olchanski
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - A. Ortiz de Solorzano
- CAPA (Centro de Astropartículas y Física de Altas Energías), Universidad de Zaragoza, Zaragoza 50009, Spain
| | - F. Padula
- School of Civil and Mechanical Engineering, Curtin University, Perth (Washington), Australia
| | | | - I. Palumbo
- Azienda Ospedaliera San Gerardo, Monza 20900, Italy
| | - E. Panontin
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano 20126, Italy
| | - N. Papini
- Elemaster Group S.p.A., Lomagna (LC) 23871, Italy
| | | | | | - K. Patel
- VEXOS, Markham, Ontario L3R 9X6, Canada
| | - A. Patel
- VEXOS, Markham, Ontario L3R 9X6, Canada
| | - M. Paterno
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | | | | | | | - A. Pocar
- Amherst Center for Fundamental Interactions and Physics Department, University of Massachusetts, Amherst, Massachusetts 01003, USA
| | - A. Pope
- JMP Solutions, London, Ontario N6N 1E2, Canada
| | - S. Pordes
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - F. Prelz
- INFN Sezione di Milano, Milano 20133, Italy
| | - O. Putignano
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano 20126, Italy
| | - J. L. Raaf
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - C. Ratti
- Elemaster Group S.p.A., Lomagna (LC) 23871, Italy
| | - M. Razeti
- INFN Sezione di Cagliari, Cagliari 09042, Italy
| | - A. Razeto
- INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy
| | - D. Reed
- Equilibar L.L.C., Fletcher, North Carolina 28732, USA
| | - J. Refsgaard
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - T. Reilly
- VEXOS, Markham, Ontario L3R 9X6, Canada
| | - A. Renshaw
- Department of Physics, University of Houston, Houston, Texas 77204, USA
| | - F. Retriere
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - E. Riccobene
- Dipartimento di Informatica, Universitá degli Studi di Milano, Milano 20122, Italy
| | - D. Rigamonti
- Istituto per la Scienza e Tecnologia dei Plasmi, ISTP-CNR, Milano 20125, Italy
| | | | | | - J. Romualdez
- Physics Department, Princeton University, Princeton, New Jersey 08544, USA
| | - L. Russel
- JMP Solutions, London, Ontario N6N 1E2, Canada
| | - D. Sablone
- INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy
| | - S. Sala
- Elemaster Group S.p.A., Lomagna (LC) 23871, Italy
| | | | - P. Salvo
- Istituto di Fisiologia Clinica del CNR, IFC-CNR, Pisa 56124, Italy
| | | | - E. Sansoucy
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | - R. Santorelli
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain
| | - C. Savarese
- Physics Department, Princeton University, Princeton, New Jersey 08544, USA
| | | | - T. Schaubel
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | - S. Scorza
- SNOLAB, Lively, Ontario P3Y 1N2, Canada
| | - M. Settimo
- SUBATECH, IMT Atlantique, Université de Nantes, CNRS-IN2P3, Nantes 44300, France
| | - B. Shaw
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - S. Shawyer
- JMP Solutions, London, Ontario N6N 1E2, Canada
| | - A. Sher
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - A. Shi
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | | | - A. Slutsky
- St. Michael's Hospital, Unity Health Toronto, Ontario M5B 1W8, Canada
| | - B. Smith
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | | | - A. Stenzler
- 12th Man Technologies, Garden Grove, California 92841, USA
| | - C. Straubel
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | - P. Stringari
- MINES ParisTech, PSL University, CTP-Centre of Thermodynamics of Processes, 77300 Fontainebleau, France
| | - M. Suchenek
- AstroCeNT, Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, Warsaw 00-614, Poland
| | - B. Sur
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | | | - L. Takeuchi
- Department of Medicine, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
| | - M. Tardocchi
- Istituto per la Scienza e Tecnologia dei Plasmi, ISTP-CNR, Milano 20125, Italy
| | - R. Tartaglia
- INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy
| | - E. Thomas
- Arthur B. McDonald Canadian Astroparticle Research Institute, Kingston, Ontario K7L 3N6, Canada
| | - D. Trask
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | - J. Tseng
- Department of Physics, University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford OX1 3RH, United Kingdom
| | - L. Tseng
- VEXOS, Markham, Ontario L3R 9X6, Canada
| | - L. VanPagee
- JMP Solutions, London, Ontario N6N 1E2, Canada
| | - V. Vedia
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - B. Velghe
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | | | - A. Visioli
- Dipartimento di Ingegneria Meccanica e Industriale, Università degli Studi di Brescia, Brescia 25123, Italy
| | - L. Viviani
- Elemaster Group S.p.A., Lomagna (LC) 23871, Italy
| | - D. Vonica
- VEXOS, Markham, Ontario L3R 9X6, Canada
| | - M. Wada
- AstroCeNT, Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, Warsaw 00-614, Poland
| | - D. Walter
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - H. Wang
- Physics and Astronomy Department, University of California, Los Angeles, California 90095, USA
| | - M. H. L. S. Wang
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | | | - D. Wood
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | - D. Yates
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
| | - S. Yue
- Canadian Nuclear Laboratories, Chalk River K0J 1J0, Canada
| | - V. Zambrano
- CAPA (Centro de Astropartículas y Física de Altas Energías), Universidad de Zaragoza, Zaragoza 50009, Spain
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Gu R, Lin H, Zhou Y, Song X, Xu S, Yue S, Zhang Y, Xu S, Zhang X. Programmed responses of different life-stages of the seagrass Ruppia sinensis to copper and cadmium exposure. J Hazard Mater 2021; 403:123875. [PMID: 33264947 DOI: 10.1016/j.jhazmat.2020.123875] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Revised: 08/30/2020] [Accepted: 08/31/2020] [Indexed: 06/12/2023]
Abstract
Seagrass meadows are recognized as crucial and are among the most vulnerable habitats worldwide. The aquatic plant genus Ruppia is tolerant of a wide salinity range, and high concentrations of trace metals. However, the tolerance of its early life stages to such trace metal exposure is unclear. Thus, the current study investigated the trace metal-absorbing capacity of three different life-history stages of Ruppia sinensis, a species that is widely distributed in China, by observing toxic symptoms at the individual, subcellular, and transcription levels. The seedling period was the most vulnerable, with visible toxic effects at the individual level in response to 50 μM copper and 500 μM cadmium after 4 days of exposure. The highest concentrations of trace metals occurred in the vacuoles and cytoplasmic structures of aboveground tissues. Genes related to signal identification and protein processing were significantly downregulated after 4 days of exposure to copper and cadmium. These results provide information relating to the strategies evolved by R. sinensis to absorb and isolate trace elements, and highlight the phytoremediation potential of this species.
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Affiliation(s)
- Ruiting Gu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Haiying Lin
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.
| | - Xiaoyue Song
- Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yu Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuai Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
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23
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Xu S, Wang P, Wang F, Liu P, Liu B, Zhang X, Yue S, Zhang Y, Zhou Y. In situ Responses of the Eelgrass Zostera marina L. to Water Depth and Light Availability in the Context of Increasing Coastal Water Turbidity: Implications for Conservation and Restoration. Front Plant Sci 2020; 11:582557. [PMID: 33384702 PMCID: PMC7769823 DOI: 10.3389/fpls.2020.582557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Accepted: 11/13/2020] [Indexed: 06/12/2023]
Abstract
Accelerating losses of seagrass meadows has led to efforts to restore these highly productive and beneficial ecosystems globally. Depth and light availability are critical determinants of seagrass restoration success. Eelgrass (Zostera marina L.) is the dominant seagrass species in the temperate northern hemisphere, but its global distribution has reduced dramatically. The main aims of this study were to determine: (1) the depth limit for Z. marina survival in Ailian Bay, north China, and (2) how light availability affects the growth and recruitment of Z. marina as a basis for identifying a suitable depth range for successful restoration. To achieve these aims, Z. marina shoots were transplanted from a nearby donor site, Swan Lake, to an experimental site, Ailian Bay, and the temporal responses of Z. marina shoots to light availability at water depths ranging from 1 to 8 m were investigated using in situ suspended cultures. Four suspended shoot transplantation experiments were conducted in 4 years. The results showed that the transplanted Z. marina shoots could survive and branch during an annual growth cycle, permanently underwater, at a depth ≤3 m. Due to the local turbidity of the waters in Ailian Bay, a depth of 4 m led to sufficient light deprivation (reduced to 6.48-10.08% of surface irradiance) to negatively affect seagrass shoot density and clonal reproduction. In addition, reproductive shoot density also tended to decline with water depth and light deprivation. Our results indicated that Z. marina population recruitment, through sexual and asexual (clonal growth) reproduction, were negatively affected by increasing water depth and light deprivation. These findings may provide a suitable depth range for the successful restoration of Z. marina in local coastal waters. They may also be applied to the management and restoration of Z. marina globally.
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Affiliation(s)
- Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Pengmei Wang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Feng Wang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Peng Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Bingjian Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yu Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
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24
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Zhang X, Zhou Y, Adams MP, Wang F, Xu S, Wang P, Liu P, Liu X, Yue S. Plant morphology and seed germination responses of seagrass (Zostera japonica) to water depth and light availability in Ailian Bay, northern China. Mar Environ Res 2020; 162:105082. [PMID: 32836011 DOI: 10.1016/j.marenvres.2020.105082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 06/12/2020] [Accepted: 07/13/2020] [Indexed: 06/11/2023]
Abstract
Poor water quality and light reduction owing to anthropogenic impacts are the most widespread causes behind marine submerged angiosperm (seagrass) declines, worldwide. Seagrasses could respond to sustained environmental stresses, such as increasing water depth and light reduction, through morphological changes, particularly shoot density and/or biomass reductions. The seagrass Zostera japonica Asch. and Graebn. has been introduced to the Pacific Coast of North America, but it is widely threatened in its native northwestern Pacific Coast range alongside the east coast of China. The main aims of this study were to determine: 1) the depth limit of Z. japonica growth in its native range, and 2) how light availability affects the growth and recruitment of Z. japonica. To achieve these aims, we investigated the temporal responses of Z. japonica shoots and seeds from an intertidal donor site, Swan Lake, to light availability at water depths ranging from 1 to 6 m using in situ suspended cultures deployed in the experimental site, Ailian Bay, off the coast of Weihai City, China. The results showed that the transplanted Z. japonica shoots and seeds could survive for the duration of their annual growth cycle, permanently underwater, at a depth ≤2 m. There was a significant inverse relationship between water depth and time to complete shoot loss, despite temporally varying water clarity levels. Due to the local turbidity of the waters in Ailian Bay, a depth of 2 m yielded sufficient light deprivation (5%-37% surface irradiance) to negatively affect the seagrass shoot density. Our results suggest that this intertidal species can potentially persist in shallow subtidal areas following transplantation with shoots and seeds. The findings may also serve as useful information for local seagrass distribution limits, and will facilitate their habitat establishment and restoration efforts.
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Affiliation(s)
- Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China.
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China.
| | - Matthew P Adams
- School of Mathematical Sciences, Queensland University of Technology, Brisbane, 4000, Queensland, Australia; School of Chemical Engineering, The University of Queensland, St Lucia, 4072, Queensland, Australia.
| | - Feng Wang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Pengmei Wang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Peng Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xujia Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China
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25
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Xu S, Xu S, Zhou Y, Yue S, Qiao Y, Liu M, Gu R, Song X, Zhang Y, Zhang X. Sonar and in situ surveys of eelgrass distribution, reproductive effort, and sexual recruitment contribution in a eutrophic bay with intensive human activities: Implication for seagrass conservation. Mar Pollut Bull 2020; 161:111706. [PMID: 33080387 DOI: 10.1016/j.marpolbul.2020.111706] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 09/20/2020] [Accepted: 09/21/2020] [Indexed: 06/11/2023]
Abstract
Seagrass beds are recognized as pivotal and among the most vulnerable coastal marine ecosystems globally. The eelgrass Zostera marina L. is the most widely distributed seagrass species and dominates the temperate northern hemisphere. However, an alarming decline in seagrass has been occurring worldwide due to multiple stressors. Seagrass meadow degradation is particularly serious in the Bohai Sea, in temperate China; however, large areas (> 500 ha) of seagrass meadows and population recruitment have rarely been reported in this area. In the present study, we report on a large eelgrass bed in a eutrophic bay of the Bohai Sea. Sonar and field survey methods were used to investigate the distribution of seagrass and its population recruitment. We also analyzed the major threats to this large seagrass bed. Results showed that a large Z. marina bed with an area of 694.36 ha occurred in this area of the Bohai Sea, with a peripheral area of ~25 km2. Seagrass canopy height and plant coverage had a significant correlation with water depth. Asexual reproduction principally occurred in autumn and played a dominant role in population recruitment in vegetated areas, where no seedlings successfully colonized. In contrast, a considerable number of seedlings survived in the seagrass meadow gaps, and thus played a critical role in the recruitment in these areas. The maximum reproductive shoot densities were about 100 and 70 shoots m-2 at sampling site (S)-1 and S-2 in 2018, respectively, which was about two times more than in 2019 (50 and 20 reproductive shoots m-2 at S-1 and S-2, respectively). The potential seed output per unit area in 2019 was about 1020 seeds m-2 at S-1 and 830 seeds m-2 at S-2, and the seed output in the study area was at a low level compared with global values. Overall, high spring and summer water temperature appeared to induce sexual reproduction of Z. marina in the study area, including reproductive effort, reproductive investment, and seedling development. Furthermore, eelgrass height, aboveground biomass, and density were significantly related to water temperature. Among the potential threatening factors to seagrass in this area, the activities of clam harvesting were intense with daily clam catches >2000 kg, leading to patchy seagrass meadows, especially in the fringe areas. The seagrass bed was also threatened by marine pollution (nutrient loading) and land reclamation. Therefore, the protection and restoration of this seagrass bed are strongly recommended. Our study will provide fundamental information for the conservation and management strategies of large eelgrass beds in the Bohai Sea.
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Affiliation(s)
- Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuai Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yongliang Qiao
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Qingdao University of Science and Technology, Qingdao 266000, China
| | - Mingjie Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ruiting Gu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaoyue Song
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yu Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; CAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
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26
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Xu S, Wang P, Zhou Y, Wang F, Zhang X, Gu R, Xu S, Yue S, Zhang Y, Suonan Z. Sheaths of Zostera marina L. as ecological indicators of shoot length and the elemental stoichiometry of aboveground tissues. Mar Pollut Bull 2020; 160:111545. [PMID: 32891962 DOI: 10.1016/j.marpolbul.2020.111545] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 07/27/2020] [Accepted: 07/31/2020] [Indexed: 06/11/2023]
Abstract
Given a large quantity of epiphytes and other material attached on eelgrass leaf blades, we explored the relationship between eelgrass sheaths and different-aged leaf blades (1st, 2nd, 3rd, and 4th leaf blade) on nutrient content and their ratios (C, N, P, C/N, C/P, and N/P) to identify whether eelgrass sheaths could be used to instead of leaf blades in terms of nutrient content. In addition, we explored the relationship between eelgrass sheath length and shoot length. Results showed that there were significant relationships between the sheath and leaf blades in terms of N and P content and their ratios. For length analysis, there was a significant relationship between sheath length and shoot length, and shoot length was approximately four to five times (mean 4.4659) longer than sheath length, such that shoot length can be estimated by sheath length. These significant relationships suggest that eelgrass sheath could be used as a suitable predictor of leaf blade in length and nutrient stoichiometry, thus eelgrass sheath could be used as an indicator for further eelgrass nutrient monitoring and research.
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Affiliation(s)
- Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Pengmei Wang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China.
| | - Feng Wang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
| | - Ruiting Gu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuai Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yu Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhaxi Suonan
- Department of Biological Sciences, Pusan National University, Buson 46241, Republic of Korea
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Qiao GH, Zhu P, Yue L, Yue S. MiR-125b Improves acute myocardial infarction in rats by regulating P38/Sirtl/P53 signaling pathway. J BIOL REG HOMEOS AG 2020; 34:1297-1306. [PMID: 32907315 DOI: 10.23812/20-177-a] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The aim of this study was to investigate the differential expression of micro ribonucleic acid (miR)- 125b in acute myocardial infarction (AMI) cases, and to explore the mechanism by which it affects cardiac function. Sprague-Dawley rats were used for AMI modeling, and the expression of miR-125b in the myocardial tissues of AMI rats was detected via fluorescence quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Thereafter, the target genes of miR-125b were collected and uploaded to WenGestalt for gene ontology (GO) and pathway enrichment analyses. In-vitro experiments were then applied to determine the p38-sirtuin 1 (Sirt1)-p53 expression change and cardiomyocyte apoptosis under down-regulation of miR-125b. Next, the interaction between miR-125b and its target genes was verified by luciferase reporter gene assay. The expression of miR-125b in the cardiac tissues was decreased in theAMI group compared with that in the Sham group (p<0.05). The luciferase reporter gene assay confirmed that p38 was the target gene of miR-125b. Furthermore, the down-regulated expression of miR-125b in H9C2 cells up-regulated the protein expressions of p38 and phosphorylated p38, thus activating the Sirt1-p53 signaling pathway. Moreover, the down-regulation of miR-125b expression in H9C2 cells gave rise to the elevated apoptosis rate, and the down-regulated expression of miR-125b induced cardiomyocyte apoptosis through activating the p38-Sirt1-p53 signaling pathway.
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Affiliation(s)
- G H Qiao
- Department of Emergency Medicine, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang, China
| | - P Zhu
- Department of Emergency Medicine, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang, China
| | - L Yue
- Department of Emergency Medicine, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang, China
| | - S Yue
- Department of Emergency Medicine, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang, China
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Yue S, Zhang Y, Zhou Y, Xu S, Xu S, Zhang X, Gu R. Optimal long-term seed storage conditions for the endangered seagrass Zostera japonica: implications for habitat conservation and restoration. Plant Methods 2019; 15:158. [PMID: 31889982 PMCID: PMC6931247 DOI: 10.1186/s13007-019-0541-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2019] [Accepted: 12/05/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND Seagrass meadows are recognized as critical and among the most vulnerable habitats on the planet. The alarming rates of decline in seagrass meadows have attracted the attention globally. There is an urgent need to develop techniques to restore and preserve these vital coastal ecosystems. So far little work has been done to develop effective long-term storage method for seagrass seeds. The seagrass Zostera japonica Asch. & Graebn is an endangered species in its native range. Here we utilized combinations of different storage times, salinities, and temperature to determine the most appropriate conditions for optimal seed storage. RESULTS Zostera japonica seeds were strongly desiccation sensitive, with a complete loss of viability after 24 h of desiccation. Therefore, long periods of exposure to air should be avoided to minimize seed mortality. In addition, Z. japonica seeds could not endure freezing conditions such as - 5 °C. However, our results indicated that reduced storage temperature to 0 °C could effectively prolong the duration of dormancy of Z. japonica seeds. Seeds stored at 0 °C under a salinity of 40-60 psu showed relatively low seed loss, high seed vigor and fast seed germination, suggesting these to be optimal seed storage conditions. For example, after storage for 540 days (ca. 600 days since the seed collection from reproductive shoots in early October, 2016) at 0 °C under a salinity of 50 psu, seeds still had a considerable vigor, i.e. 57.8 ± 16.8%. CONCLUSION Our experiments demonstrated that seeds stored at 0 °C under a salinity of 40-60 psu could effectively prolong the duration of dormancy of Z. japonica seeds. The proposed technique is a simple and effective long-term storage method for Z. japonica seeds, which can then be used to aid future conservation, restoration and management of these sensitive and ecologically important habitat formers. The findings may also serve as useful reference for seed storage of other threatened seagrass species and facilitate their ex situ conservation and habitat restoration.
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Affiliation(s)
- Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071 China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266071 China
- University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Yu Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071 China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266071 China
- University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071 China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266071 China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071 China
| | - Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071 China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266071 China
- University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Shuai Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071 China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266071 China
- University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071 China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266071 China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071 China
| | - Ruiting Gu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071 China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266071 China
- University of Chinese Academy of Sciences, Beijing, 100049 China
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Kendler DL, Bone HG, Massari F, Gielen E, Palacios S, Maddox J, Yan C, Yue S, Dinavahi RV, Libanati C, Grauer A. Bone mineral density gains with a second 12-month course of romosozumab therapy following placebo or denosumab. Osteoporos Int 2019; 30:2437-2448. [PMID: 31628490 PMCID: PMC6877701 DOI: 10.1007/s00198-019-05146-9] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Accepted: 08/23/2019] [Indexed: 11/02/2022]
Abstract
UNLABELLED Romosozumab is a therapy that stimulates bone formation and reduces bone resorption. In this study of postmenopausal women with low BMD, a second course of romosozumab following a period off treatment or on denosumab increased or maintained BMD, respectively, and was well tolerated, providing insight into treatment sequence options. INTRODUCTION In patients with high fracture risk, therapies that stimulate bone formation provide rapid BMD gains; currently available agents, parathyroid hormone receptor agonists, are limited to a 2-year lifetime exposure and generally used for a single treatment course. However, for long-term osteoporosis management, a second treatment course may be appropriate. Romosozumab, a therapy with the dual effect of increasing bone formation and decreasing bone resorption, reduces fracture risk within 12 months. Here, we report efficacy and safety of a second romosozumab course. METHODS In this phase 2, dose-finding study, postmenopausal women with low bone mass (T-score ≤ - 2.0 and ≥ - 3.5) received romosozumab or placebo (month 0-24) followed by placebo or denosumab (month 24-36); participants then received a year of romosozumab (month 36-48). RESULTS Of 167 participants who entered the month 36-48 period, 35 had been initially randomized to romosozumab 210 mg monthly. In participants who received romosozumab 210 mg monthly followed by placebo, a second romosozumab course (n = 19) increased BMD by amounts similar to their initial treatment (month 0-12) at the lumbar spine (12.4%; 12.0%, respectively) and total hip (6.0%; 5.5%, respectively). Following denosumab, a second romosozumab course (n = 16) increased BMD at the lumbar spine (2.3%) and maintained BMD at the total hip. Safety profiles were similar between first and second romosozumab courses. CONCLUSIONS After 12 months off-treatment, a second romosozumab course again led to rapid and large BMD gains. Following denosumab, BMD gains with romosozumab were smaller than with initial treatment. No new safety findings were observed during the second course.
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Affiliation(s)
- D L Kendler
- Department of Medicine, University of British Columbia, 150-943 West Broadway, Vancouver, BC, V5Z 4E1, Canada.
| | - H G Bone
- Michigan Bone and Mineral Clinic, Detroit, MI, USA
| | - F Massari
- Instituto de Investigaciones Metabólicas, Buenos Aires, Argentina
| | | | | | - J Maddox
- Amgen Inc., Thousand Oaks, CA, USA
| | - C Yan
- Amgen Ltd., Cambridge, UK
- Cambridge Statistics Ltd, Cambridge, UK
| | - S Yue
- Amgen Inc., Thousand Oaks, CA, USA
- Atara Biotherapeutics, Westlake Village, CA, USA
| | | | | | - A Grauer
- Amgen Inc., Thousand Oaks, CA, USA
- Corcept Therapeutics, Menlo Park, CA, USA
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Zhang X, Lin H, Song X, Xu S, Yue S, Gu R, Xu S, Zhu S, Zhao Y, Zhang S, Han G, Wang A, Sun T, Zhou Y. A unique meadow of the marine angiosperm Zostera japonica, covering a large area in the turbid intertidal Yellow River Delta, China. Sci Total Environ 2019; 686:118-130. [PMID: 31176811 DOI: 10.1016/j.scitotenv.2019.05.320] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Revised: 05/17/2019] [Accepted: 05/21/2019] [Indexed: 05/08/2023]
Abstract
Marine submerged aquatic angiosperms (seagrasses) are declining globally. The species Zostera japonica Asch. & Graebn. is endangered in its native range in Asia, but has been successfully introduced to North America. A large area (1031.8 ha) of Z. japonica meadow has recently been discovered in the intertidal zone of Yellow River Delta, China. This seagrass occurs along both sides of the river mouth, forming dense meadows in turbid water conditions. Seasonal investigations over two years were conducted to examine the distribution, biomass, seed reproduction, seed bank, and population recruitment of the seagrass meadows at three sites in the intertidal zone. The meadows generally showed relatively high coverage, biomass, reproductive effort, and seed production in August. The seed bank was found to be large and contributed to population recruitment. There were significant inter-annual variations overall, and at individual sites. These variations are likely due to winter temperatures, which determine the abundance of overwintering shoots and seedling success. Differences in micro-topography may also play a role in producing variations in seedling success between sites. Microsatellite analysis revealed a high genetic exchange between the two sides of the river mouth. The results indicate that the seagrass bed in the Yellow River Delta shallow waters is in good condition, which can be attributed to its location within a national nature reserve. Establishment of protected areas might act as an effective way to mitigate the anthropogenic disturbance, conserve the seagrass meadows, and then enhance critical ecosystem functions.
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Affiliation(s)
- Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Haiying Lin
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Xiaoyue Song
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ruiting Gu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuai Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuyu Zhu
- Yellow River Delta National Nature Reserve Management Bureau, Dongying 257200, China
| | - Yajie Zhao
- Yellow River Delta National Nature Reserve Management Bureau, Dongying 257200, China
| | - Shuyan Zhang
- Yellow River Delta National Nature Reserve Management Bureau, Dongying 257200, China
| | - Guangxuan Han
- Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, Shandong 264003, China
| | - Andong Wang
- Yellow River Delta National Nature Reserve Management Bureau, Dongying 257200, China
| | - Tao Sun
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China.
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Yue S, Zhou Y, Zhang Y, Xu S, Gu R, Xu S, Zhang X, Zhao P. Effects of salinity and temperature on seed germination and seedling establishment in the endangered seagrass Zostera japonica Asch. & Graebn. in northern China. Mar Pollut Bull 2019; 146:848-856. [PMID: 31426227 DOI: 10.1016/j.marpolbul.2019.07.037] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 07/14/2019] [Accepted: 07/15/2019] [Indexed: 05/08/2023]
Abstract
Seagrass meadows are recognized as critical and among the most vulnerable habitats on the planet. As a worldwide concern, there is an urgent need to develop techniques to restore and preserve these vital coastal ecosystems due to their alarming decline rate. To effectively preserve and restore seagrasses, more research is required on the germination ecology of seeds. The seagrass Zostera japonica Asch. & Graebn is an endangered species in its native range, the Northwestern Pacific Coast. The present study investigated the germination and seedling establishment in Z. japonica seeds (collected from northern China) under different temperature and salinity conditions to explore suitable seed germination and establishment conditions, as well as the seedling formation process. Results showed that salinity had a more significant influence on seed germination rate. Germination rate decreased with an increase in salinity, and seeds did not germinate when salinity was higher than 40 psu. Temperature was more likely to influence germination speed, which increased with an increase in temperature, with high germination rates and the most rapid germination speed observed at 30 °C. Therefore, the optimal culture conditions were 10 psu salinity at 30 °C for germination and 10-20 psu salinity at 20 °C for seedling establishment, with a seed germination rate of 45.6% after 6 days of germination culture and a seedling establishment rate of 14.3% after 6 days of seedling culture, respectively. A new seedling raising method with low salinity (5 psu) germination and high salinity (20 psu) seedling establishment was proposed and a flow chart of seedling formation of Z. japonica was created. The results provide insight into the seed germination and seedling establishment in Z. japonica, and will facilitate future large-scale seedling culture and field restoration activities for this seagrass species.
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Affiliation(s)
- Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China.
| | - Yu Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ruiting Gu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuai Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
| | - Peng Zhao
- Fourth Institute of Oceanography, State Oceanic Administration, Beihai, China
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Xu S, Xu S, Zhou Y, Zhao P, Yue S, Song X, Zhang X, Gu R, Wang P, Zhang Y. Single beam sonar reveals the distribution of the eelgrass Zostera marina L. and threats from the green tide algae Chaetomorpha linum K. in Swan-Lake lagoon (China). Mar Pollut Bull 2019; 145:611-623. [PMID: 31590831 DOI: 10.1016/j.marpolbul.2019.06.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 06/06/2019] [Accepted: 06/10/2019] [Indexed: 06/10/2023]
Abstract
Seagrass meadows are declining at alarming rates globally due to both anthropogenic activities and natural threats. Seagrasses play key ecological roles in coastal ecosystems as primary producers and providers of habitat and environmental structure. Therefore, mapping seagrass beds is indispensable for the effective monitoring and management of coastal vegetated habitats. In contrast to direct sampling techniques and optical remote sensing, active hydroacoustic techniques are relatively inexpensive and efficient for the detection of seagrass. We used a single beam echosounder to detect the spatial and temporal distribution characteristics of the eelgrass Zostera marina L. in an important overwintering habitat for the whooper swan Cygnus cygnus (Swan-Lake lagoon), northern China. We also distinguished echograms of the macroalgae Chaetomorpha linum K. and outlined its threat to seagrass. We also propose a method for calculating the accuracy of interpolation analyses. Results showed that: (1) The distribution of seagrass in Swan Lake varies with seasons, with maximum distribution area in summer. The maximum distribution area of seagrass beds in Swan Lake was 199.09 ha-231.67 ha, accounting for 41.48%-48.26% of the area of Swan Lake; (2) C. linum is a growing threat for seagrass beds of Swan-lake, with distribution area as high as 129.28 ha in May 2018. The invasion and competition by C. linum against seagrass beds could be one of the reasons for the decline in seagrass beds in Swan-Lake; (3) Topo to Raster has the highest interpolation accuracy and is the most conservative among three interpolation methods. Topo to Raster was the most suitable interpolation method for the sonar detection of seagrass beds. The findings may facilitate the application of sonar technology in seagrass monitoring and provide data for the formulation of appropriate seagrass bed management and restoration strategies and policies.
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Affiliation(s)
- Shuai Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China.
| | - Peng Zhao
- Fourth Institute of Oceanography, State Oceanic Administration, Beihai, China
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaoyue Song
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
| | - Ruiting Gu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Peiliang Wang
- Weihai Hongrun Marine S&T Co., LTD, Weihai 264200, China
| | - Yu Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
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Wang YS, Liu ZD, Yue S, Wang WZ, Tian FS. [Effect of biofeedback therapy on metabolic syndrome under different levels of job stress]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2019; 36:728-733. [PMID: 30541190 DOI: 10.3760/cma.j.issn.1001-9391.2018.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the effect of biofeedback therapy on metabolic syndrome (MS) and the effect of different levels of job stress on the outcome. Methods: The physicians in tertiary hospitals who were diagnosed with MS from January to December, 2016 were divided into biofeedback group and health education group according to different intervention methods, and moderate group, medium group, and high group according to different levels of job stress. A 6-month intervention was implemented from May to October, 2017. A two-way factorial design was used to analyze the main effect of biofeedback on physical and biochemical parameters and the interaction of biofeedback and job stress. Results: After 6 months of intervention, the patients in both the biofeedback group and the moderate group had significantly decreased waist circumference, body mass index, systolic blood pressure (SBP) , diastolic blood pressure (DBP) , and levels of triglyceride (TG) , total cholesterol, low-density lipoprotein cholesterol (LDL-C) , and fasting plasma glucose (FPG) and a significantly increased level of high-density lipoprotein cholesterol (HDL-C) (all P<0.05) ; the patients in both the health education group and the moderate group had significantly decreased SBP, DBP, and levels of TG, LDL-C, and FPG (P<0.05) . The factorial analysis of variance showed that there was a synergistic interaction between the intervention method and job stress level in SBP, DBP, TG, HDL-C, LDL-C, and FPG among MS patients (P<0.05) . The high group had significantly more improvements in all indices compared with the medium group and the moderate group (P<0.05) . Conclusion: Biofeedback therapy can effectively improve blood pressure, blood lipids, and blood glucose in MS patients, and is more effective for patients with high job stress level.
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Affiliation(s)
- Y S Wang
- Department of Public Health Management, Tianjin 4th Center Hospital, Tianjin 300140, China
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Cosar S, Yan Z, Zhao F, Lambrou T, Yue S, Bellotto N. Thermal Camera Based Physiological Monitoring with an Assistive Robot. Annu Int Conf IEEE Eng Med Biol Soc 2018; 2018:5010-5013. [PMID: 30441466 DOI: 10.1109/embc.2018.8513201] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
This paper presents a physiological monitoring system for assistive robots using a thermal camera. It is based on the detection of subtle changes in temperature observed on different parts of the face. First, we segment and estimate these face regions on thermal images. Then, by applying Fourier analysis on temperature data, we estimate respiration and heartbeat rate. This physiological monitoring system has been integrated in an assistive robot for elderly people at home, as part of the ENRICHME project. Its performance has been evaluated on a new thermal dataset for physiological monitoring, which is made publicly available for researchpurposes.
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Xu S, Wang P, Zhou Y, Zhang X, Gu R, Liu X, Liu B, Song X, Xu S, Yue S. New Insights into Different Reproductive Effort and Sexual Recruitment Contribution between Two Geographic Zostera marina L. Populations in Temperate China. Front Plant Sci 2018; 9:15. [PMID: 29483922 PMCID: PMC5816074 DOI: 10.3389/fpls.2018.00015] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Accepted: 01/04/2018] [Indexed: 05/23/2023]
Abstract
Seagrasses are important components of global coastal ecosystems, and the eelgrass Zostera marina L. is widely distributed along the Atlantic and Pacific coasts in the temperate northern hemisphere, but limited datum related to the contribution of sexual reproduction to population recruitment have been reported. This study aimed to understand eelgrass sexual reproduction and population recruitment in Swan Lake (SLL), and Huiquan Bay (HQB) was included for comparison. Random sampling, permanent quadrats or cores and laboratory seed germination-based experimental methods were employed. The flowering, seed production, seed banks, seed germination, seedling survival, and seedling growth of eelgrass were investigated from July 2014 to December 2015 to evaluate the contribution of sexual reproduction to population recruitment. Results indicated a dominant role of asexual reproduction in HQB, while sexual reproduction played a relatively important role in SLL. The highest flowering shoot density in SLL was 517.27 ± 504.29 shoots m-2 (June) and represented 53.34% of the total shoots at the center site. The potential seed output per reproductive shoot and per unit area in SLL were 103.67 ± 37.95 seeds shoot-1 and 53,623.66 ± 19,628.11 seeds m-2, respectively. The maximum seed bank density in SLL was 552.21 ± 204.94 seeds m-2 (October). Seed germination mainly occurred from the middle of March to the end of May, and the highest seedling density was 296.88 ± 274.27 seedlings m-2 in April. The recruitment from seedlings accounted for 41.36% of the Z. marina population recruitment at the center site, while the sexual recruitment contribution at the patch site (50.52%) was greater than that at the center site. Seeds in SLL were acclimated to spring germination, while in HQB, they were acclimated to autumn germination (early October-late November). Seed bank density in HQB was very low, with a value of 254.35 ± 613.34 seeds m-2 (early October). However, seeds in HQB were significantly larger and heavier than those in SLL (size: P = 0.004; weight: P < 0.001). The recruitment from seedlings accounted for as low as 2.53% of the Z. marina population recruitment in HQB. Our laboratory seed germination experiment, which was conducted in autumn, showed that the seed germination percent in HQB was significantly greater than in SLL at optimal germination temperatures (10 and 15°C; P < 0.001). A laboratory seed germination test at suitable temperature may be a potential novel approach to identify the ecological differences among different geographic populations. It is suggested that the Z. marina population recruitment may have different strategies and adapt to specific local conditions, such as in SLL and HQB, and the temperature regime may control morphological and phonological variations.
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Affiliation(s)
- Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Pengmei Wang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- *Correspondence: Yi Zhou
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Ruiting Gu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Xujia Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
| | - Bingjian Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
| | - Xiaoyue Song
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
| | - Shuai Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
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Gu R, Zhou Y, Song X, Xu S, Zhang X, Lin H, Xu S, Yue S, Zhu S. Tolerance of Ruppia sinensis Seeds to Desiccation, Low Temperature, and High Salinity With Special Reference to Long-Term Seed Storage. Front Plant Sci 2018; 9:221. [PMID: 29628930 PMCID: PMC5876315 DOI: 10.3389/fpls.2018.00221] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 02/05/2018] [Indexed: 05/08/2023]
Abstract
Seeds are important materials for the restoration of globally-threatened marine angiosperm (seagrass) populations. In this study, we investigated the differences between different Ruppia sinensis seed types and developed two feasible long-term R. sinensis seed storage methods. The ability of R. sinensis seeds to tolerate the short-term desiccation and extreme cold had been investigated. The tolerance of R. sinensis seeds to long-term exposure of high salinity, cold temperature, and desiccation had been considered as potential methods for long-term seed storage. Also, three morphological and nine physiological indices were measured and compared between two types of seeds: Shape L and Shape S. We found that: (1) wet storage at a salinity of 30-40 psu and 0°C were the optimal long-term storage conditions, and the proportion of viable seeds reached over 90% after a storage period of 11 months since the seeds were collected from the reproductive shoots; (2) dry condition was not the optimal choice for long-term storage of R. sinensis seeds; however, storing seeds in a dry condition at 5°C and 33 ± 10% relative humidity for 9 months had a relatively high percentage (74.44 ± 2.22%) of viable seeds, consequently desiccation exposure could also be an acceptable seed storage method; (3) R. sinensis seeds would lose vigor in the interaction of extreme cold (-27°C) and desiccation; (4) there were significant differences in seed weight, seed curvature, and endocarp thickness between the two types of seeds. These findings provided fundamental physiological information for R. sinensis seeds and supported the long-term storage of its seeds. Our results may also serve as useful reference for seed storage of other threatened seagrass species and facilitate their ex situ conservation and habitat restoration.
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Affiliation(s)
- Ruiting Gu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yi Zhou
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- *Correspondence: Yi Zhou,
| | - Xiaoyue Song
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Shaochun Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Xiaomei Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Haiying Lin
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China
| | - Shuai Xu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Shidong Yue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Shuyu Zhu
- Yellow River Delta National Nature Reserve Management Bureau, Dongying, China
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Silverman SL, Siris E, Belazi D, Recknor C, Papaioannou A, Brown JP, Gold DT, Lewiecki EM, Quinn G, Balasubramanian A, Yue S, Stolshek B, Kendler DL. Persistence at 24 months with denosumab among postmenopausal women with osteoporosis: results of a prospective cohort study. Arch Osteoporos 2018; 13:85. [PMID: 30088189 PMCID: PMC6096691 DOI: 10.1007/s11657-018-0491-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Accepted: 06/18/2018] [Indexed: 02/03/2023]
Abstract
UNLABELLED Persistence with prescribed medications for chronic diseases is important; however, persistence with osteoporosis treatments is historically poor. In this prospective cohort study of postmenopausal women treated for osteoporosis in real-world clinical practice settings in the USA and Canada, 24-month persistence with denosumab was 58%. PURPOSE Patients who persist with their prescribed osteoporosis treatment have increased bone mineral density (BMD) and reduced risk of fracture. Twelve-month persistence with denosumab in routine clinical practice is as high as 95%, but there are limited data on longer-term persistence with denosumab in this setting. METHODS This single-arm, prospective, cohort study evaluated 24-month persistence with denosumab administered every 6 months in postmenopausal women receiving treatment for osteoporosis in real-world clinical practice in the USA and Canada. Endpoints and analyses included the percentage of patients who persist with denosumab at 24 months (greater than or equal to four injections with a gap between injections of no more than 6 months plus 8 weeks), the total number of injections received by each patient, changes in BMD in persistent patients, and the incidence of serious adverse events (SAEs) and fractures. RESULTS Among 935 enrolled patients, 24-month persistence was 58% (50% in US patients and 75% in Canadian patients). A majority of patients received at least four injections over the observation period (62% of US patients and 81% of Canadian patients). Among patients who were persistent at 24 months and who had a baseline, 12-month, and 24-month DXA scan, mean BMD increased from baseline to 24 months by 7.8% at the lumbar spine and 2.1% at the femoral neck. SAEs and fractures were reported for 122 (13.0%) patients and 54 (5.8%) patients, respectively. CONCLUSIONS Persistence with denosumab for 24 months yields improvement in BMD among postmenopausal women with osteoporosis treated in routine clinical practice in the USA and Canada.
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Affiliation(s)
- Stuart L. Silverman
- OMC Clinical Research Center, Cedars-Sinai Medical Center and David Geffen School of Medicine UCLA, 8641 Wilshire Blvd, Suite 301, Beverly Hills, CA 90211 USA
| | - E. Siris
- Columbia University Medical Center, 180 Fort Washington Avenue, HP9-964, New York, NY USA
| | - D. Belazi
- AlchemiPharma, 1582 High Grove LN, Malvern, PA USA
| | - C. Recknor
- United Osteoporosis Centers, 2350 Limestone Parkway, Gainesville, GA USA
| | - A. Papaioannou
- Juravinski Research Center, McMaster University, Room 151, 88 Maplewood Avenue, Hamilton, Canada
| | - J. P. Brown
- CHU de Québec (CHUL) Research Center, Laval University, Room TR-83, 2705 Laurier Boulevard, Quebec City, QC Canada
| | - D. T. Gold
- Duke University Medical Center, Box 3003, Durham, NC USA
| | - E. M. Lewiecki
- New Mexico Clinical Research and Osteoporosis Center, University of New Mexico School of Medicine, 300 Oak St. NE, Albuquerque, NM USA
| | - G. Quinn
- Outlier Statistics Ltd, 25 Blacksmith Close, St Michaels Mead, Bishop’s Stortford, UK
| | | | - S. Yue
- Amgen Inc., One Amgen Center Drive, Thousand Oaks, CA USA
| | - B. Stolshek
- Amgen Inc., One Amgen Center Drive, Thousand Oaks, CA USA
| | - D. L. Kendler
- Department of Medicine, University of British Columbia, Prohealth, 150-943 W Broadway, Vancouver, BC Canada
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Brahimi SV, Yue S, Sriraman KR. Alloy and composition dependence of hydrogen embrittlement susceptibility in high-strength steel fasteners. Philos Trans A Math Phys Eng Sci 2017; 375:rsta.2016.0407. [PMID: 28607186 PMCID: PMC5468724 DOI: 10.1098/rsta.2016.0407] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/18/2017] [Indexed: 06/07/2023]
Abstract
High-strength steel fasteners characterized by tensile strengths above 1100 MPa are often used in critical applications where a failure can have catastrophic consequences. Preventing hydrogen embrittlement (HE) failure is a fundamental concern implicating the entire fastener supply chain. Research is typically conducted under idealized conditions that cannot be translated into know-how prescribed in fastener industry standards and practices. Additionally, inconsistencies and even contradictions in fastener industry standards have led to much confusion and many preventable or misdiagnosed fastener failures. HE susceptibility is a function of the material condition, which is comprehensively described by the metallurgical and mechanical properties. Material strength has a first-order effect on HE susceptibility, which increases significantly above 1200 MPa and is characterized by a ductile--brittle transition. For a given concentration of hydrogen and at equal strength, the critical strength above which the ductile-brittle transition begins can vary due to second-order effects of chemistry, tempering temperature and sub-microstructure. Additionally, non-homogeneity of the metallurgical structure resulting from poorly controlled heat treatment, impurities and non-metallic inclusions can increase HE susceptibility of steel in ways that are measurable but unpredictable. Below 1200 MPa, non-conforming quality is often the root cause of real-life failures.This article is part of the themed issue 'The challenges of hydrogen and metals'.
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Affiliation(s)
- S V Brahimi
- Department of Mining and Materials Engineering, McGill University, Montreal, QC H3A 0E8, Canada
- Industral Fasteners Institute, Cleveland, OH 44131, USA
| | - S Yue
- Department of Mining and Materials Engineering, McGill University, Montreal, QC H3A 0E8, Canada
| | - K R Sriraman
- Department of Mining and Materials Engineering, McGill University, Montreal, QC H3A 0E8, Canada
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Zhang G, Zhu Y, Qin W, Yu L, Wu G, Ma S, Wang F, Qin R, Yang X, Tao K, Yue S, Zhao G, Yang Z, Yuan J, Dou K, Yuan J. Combined Kidney Transplantation and Splenic Fossa Auxiliary Heterotopic Liver Transplantation in a Highly Sensitized Recipient: A Case Report. Transplant Proc 2017; 48:3191-3196. [PMID: 27932179 DOI: 10.1016/j.transproceed.2016.09.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Revised: 08/23/2016] [Accepted: 09/01/2016] [Indexed: 12/20/2022]
Abstract
BACKGROUND Combined kidney and auxiliary orthotopic liver transplantation from the same donor is used to treat highly sensitized renal transplant recipients. Auxiliary liver can protect the transplanted kidney against hyperacute rejection. METHODS In the current case, combined kidney and splenic fossa auxiliary heterotopic liver transplantation was performed from the same donor for a highly sensitized recipient without preoperative preconditioning. No postoperative hyperacute rejection occurred. RESULTS Seven days after surgery, preexisting antibody levels rose and decreased after treatment; meanwhile, the function of transplanted kidney returned to normal. During 24 months of follow-up, the grafts showed good blood perfusion and functioned well. The levels of preexisting antibodies, donor-specific antibodies (DSA) and C1q-fixing human leukocyte antigen (C1q-HLA) antibodies, all decreased. CONCLUSIONS Combined kidney and splenic fossa auxiliary heterotopic liver transplantation can be used in renal transplantation for highly sensitized recipients.
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Affiliation(s)
- G Zhang
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Shanxi, China
| | - Y Zhu
- Department of Urology, Hanzhong Central Hospital, Shanxi, China
| | - W Qin
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Shanxi, China
| | - L Yu
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Shanxi, China
| | - G Wu
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Shanxi, China
| | - S Ma
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Shanxi, China
| | - F Wang
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Shanxi, China
| | - R Qin
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Shanxi, China
| | - X Yang
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Shanxi, China
| | - K Tao
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Shanxi, China
| | - S Yue
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Shanxi, China
| | - G Zhao
- Xijing Orthopedic Hospital of the Fourth Military Medical University, Shanxi, China
| | - Z Yang
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Shanxi, China
| | - J Yuan
- Department of Biochemistry, University of Washington, Seattle, Washington
| | - K Dou
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Shanxi, China
| | - J Yuan
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Shanxi, China.
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Abstract
OBJECTIVES This study investigated whether psychological distress predicts the development of type 2 diabetes mellitus (T2DM) and if the association differs between populations at a high or low diabetes risk level among Chinese police officers. DESIGN Prospective cohort study. SETTING Single centre. PARTICIPANTS 6559 participants underwent clinical measurements at the hospital in April 2007. 5811 police officers participated in the follow-up consisting of new-onset diabetes (NOD) events occurring annually between 2008 and 2011. PRIMARY OUTCOME MEASURES Baseline data were collected from policemen who completed the Symptom Checklist 90-Revised (SCL-90-R) questionnaire and a self-designed questionnaire. Psychological distress was measured by the SCL-90-R questionnaire. Hong Kong Chinese Diabetes Risk Score (HKCDRS) was used to evaluate the risk of T2DM, and the participants were divided into low-risk group and high-risk group based on the HKCDRS. Cox proportional hazards regression was used to calculate the HRs of the incidence of T2DM related to psychological distress and further stratified the analysis based on HKCDRS. RESULTS Among 5811 participants, 179 subjects developed NOD during the 4-year follow-up. 54 subjects (1.63%) with a HKCDRS 0-7 vs 125 subjects (4.98%) with a HKCDRS>7 developed NOD (p<0.05). There was a significant association between psychological distress and T2DM (HR=1.46; 95% CI 1.05 to 2.02). Among the participants with a high-risk score (HKCDRS>7), 7.07% of those with psychological distress developed T2DM compared with 4.43% of participants without psychological distress (p<0.05). The corresponding adjusted HR for psychological distress was 1.61 (95% CI 1.10 to 2.37). CONCLUSIONS Psychological distress is an independent risk factor for T2DM in this prospective cohort study. Stratification analysis indicated that psychological distress was associated with T2DM in a high-risk level population.
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Affiliation(s)
- C Li
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - J C Liu
- Tongling University, Tongling, Anhui, China
| | - X Xiao
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China
- Department of Cardiology, Tianjin 4 Center Hospital, The 4 Center Hospital of Tianjin Medical University, Tianjin, China
- Tianjin Emergency Medical Center, Tianjin, China
| | - X Chen
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - S Yue
- Medical Center of Police Hospital, Tianjin, China
| | - H Yu
- Tianjin Centers for Disease Control and Prevention, Tianjin, China
| | - F S Tian
- Department of Cardiology, Tianjin 4 Center Hospital, The 4 Center Hospital of Tianjin Medical University, Tianjin, China
| | - N J Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China
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Renhua G, Yue S, Shidai J, Jing F, Xiyi L. 165P: Long noncoding RNA LUCAT1 is associated with poor prognosis in human non-small cell lung cancer and affects cell proliferation via regulating p21 and p57 expression. J Thorac Oncol 2016. [DOI: 10.1016/s1556-0864(16)30275-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Sriraman KR, Manimunda P, Chromik RR, Yue S. Effect of crystallographic orientation on the tribological behavior of electrodeposited Zn coatings. RSC Adv 2016. [DOI: 10.1039/c5ra15490a] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Tribo/transfer film evolution during sliding wear of steel contact on oriented Zn coatings.
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Affiliation(s)
- K. R. Sriraman
- Department of Mining & Materials Engineering
- McGill University
- Montreal
- Canada
| | - P. Manimunda
- Department of Mining & Materials Engineering
- McGill University
- Montreal
- Canada
| | - R. R. Chromik
- Department of Mining & Materials Engineering
- McGill University
- Montreal
- Canada
| | - S. Yue
- Department of Mining & Materials Engineering
- McGill University
- Montreal
- Canada
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Brunner N, Yue S, Stub D, Webb J, Wood D. ASSOCIATION BETWEEN THE DIASTOLIC PULMONARY GRADIENT, TRANSPULMONARY GRADIENT AND PULMONARY VASCULAR RESISTANCE AND MORTALITY IN PATIENTS WITH PULMONARY HYPERTENSION UNDERGOING TRANSCATHETER AORTIC VALVE IMPLANTATION. Can J Cardiol 2015. [DOI: 10.1016/j.cjca.2015.07.253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Yue S, Zhang Y, Gao Y. A study on the susceptibility of allogeneic human hepatocytes to porcine endogenous retrovirus. Eur Rev Med Pharmacol Sci 2015; 19:3486-3491. [PMID: 26439047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
OBJECTIVE Porcine endogenous retrovirus (PERV) is a virus that can be integrated into porcine genome. It has been proved that PERV can infect the cells of a variety of species. However, little is known about the infectivity of PERV to human hepatocytes. The present study focused on the susceptibility of primary human hepatocytes to PERV. MATERIALS AND METHODS Cell culture supernatant containing PERV was used to infect primary allogeneic hepatocytes and human embryonic kidney cell line HEK-293. The integration of PERV into the genome and PERV expression were detected by using PCR and RT-PCR. RESULTS Gene and mRNA sequences of PERV were detected in HEK-293 cells; however, viral gene expression was not detected in 3 groups of primary allogeneic hepatocytes. CONCLUSIONS HEK-293 cells can be infected by PERV, but 3 groups of primary allogeneic hepatocytes were not sensitive to PERV, indicating PERV had no infectivity to primary human hepatocytes.
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Affiliation(s)
- S Yue
- Zhujiang Hospital, Southern Medical University, Guangzhou, China.
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Paradis F, Yue S, Grant JR, Stothard P, Basarab JA, Fitzsimmons C. Transcriptomic analysis by RNA sequencing reveals that hepatic interferon-induced genes may be associated with feed efficiency in beef heifers1. J Anim Sci 2015; 93:3331-41. [DOI: 10.2527/jas.2015-8975] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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46
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Evenepoel P, Cooper K, Holdaas H, Messa P, Mourad G, Olgaard K, Rutkowski B, Schaefer H, Deng H, Torregrosa JV, Wuthrich RP, Yue S. A randomized study evaluating cinacalcet to treat hypercalcemia in renal transplant recipients with persistent hyperparathyroidism. Am J Transplant 2014; 14:2545-55. [PMID: 25225081 DOI: 10.1111/ajt.12911] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2014] [Revised: 05/15/2014] [Accepted: 05/18/2014] [Indexed: 01/25/2023]
Abstract
Persistent hyperparathyroidism (HPT) after kidney transplantation (KTx) is associated with hypercalcemia, hypophosphatemia and abnormally high levels of parathyroid hormone (PTH). In this randomized trial, cinacalcet was compared to placebo for the treatment of hypercalcemia in adult patients with persistent HPT after KTx. Subjects were randomized 1:1 to cinacalcet or placebo with randomization stratified by baseline corrected total serum calcium levels (≤11.2 mg/dL [2.80 mmol/L] or >11.2 mg/dL [2.80 mmol/L]). The primary end point was achievement of a mean corrected total serum calcium value<10.2 mg/dL (2.55 mmol/L) during the efficacy period. The two key secondary end points were percent change in bone mineral density (BMD) at the femoral neck and absolute change in phosphorus; 78.9% cinacalcet- versus 3.5% placebo-treated subjects achieved the primary end point with a difference of 75.4% (95% confidence interval [CI]: 63.8, 87.1), p<0.001. There was no statistical difference in the percent change in BMD at the femoral neck between cinacalcet and placebo groups, p=0.266. The difference in the change in phosphorus between the two arms was 0.45 mg/dL (95% CI: 0.26, 0.64), p<0.001 (nominal). No new safety signals were detected. In conclusion, hypercalcemia and hypophosphatemia were effectively corrected after treatment with cinacalcet in patients with persistent HPT after KTx.
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Affiliation(s)
- P Evenepoel
- Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium
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Van Londen M, Humalda JK, Aarts BM, Sanders JS, Bakker SJL, Navis GJ, De Borst MH, Pazik J, O Dak M, Lewandowski Z, Podgorska M, Sadowska A, Sitarek E, Malejczyk J, Durlik M, Drechsler C, Philstrom H, Meinitzer A, Pilz S, Tomaschitz A, Abedini S, Fellstrom B, Jardine A, Wanner C, Maerz W, Holdaas H, Halleck F, Staeck O, Neumayer HH, Budde K, Khadzhynov D, Rostaing L, Allal A, Congy N, Aarninck A, Del Bello A, Maggioni S, Debiols B, Sallusto F, Kamar N, Stolyarevich E, Artyukhina L, Kim I, Tomilina N, Zaidenov V, Kurenkova L, Keyzer CA, De Borst MH, Van Den Berg E, Jahnen-Dechent W, Navis G, Bakker SJL, Van Goor H, Pasch A, Aulagnon F, Avettand-Fenoel V, Scemla A, Lanternier F, Lortholary O, Anglicheau D, Legendre C, Zuber J, Furic-Cunko V, Basic-Jukic N, Coric M, Kastelan Z, Hudolin T, Kes P, Mikolasevic I, Racki S, Lukenda V, Orlic L, Dobrowolski LC, Verberne HJ, Ten Berge IJM, Bemelman FJ, Krediet CTP, Ferreira AC, Silva C, Remedio F, Pena A, Nolasco F, Heldal K, Lonning K, Leivestad T, Reisaeter AV, Hartmann A, Foss AE, Midtvedt K, Vlachopanos G, Kassimatis T, Zerva A, Kokkona A, Stavroulaki E, Agrafiotis A, Sanchez Sobrino B, Lafuente Covarrubias O, Karsten Alvarez S, Zalamea Jarrin F, Rubio Gonzalez E, Huerta Arroyo A, Portoles Perez J, Basic-Jukic N, Kes P, Baek CH, Kim M, Kim JS, Yang WS, Han DJ, Park SK, Zulkarnaev A, Vatazin A, Cabiddu G, Maxia S, Castellino S, Loi V, Guzzo G, Piccoli GB, Pani A, Bucsa C, Tacu D, Harza M, Sinescu I, Mircescu G, Stefan G, Alfieri CM, Laura F, Danilovic B, Cresseri D, Meneghini M, Riccardo F, Regalia A, Messa P, Panuccio V, Tripepi R, Parlongo G, Quattrone S, Leonardis D, Tripepi G, Zoccali C, Mallamaci F, Amer H, Geerdes PA, Fettes TT, Prieto M, Walker RC, Edwards BS, Cosio FG, Khrabrova M, Nabokov A, Groene HJ, Weithofer P, Kliem V, Smirnov A, Dobronravov V, Sezer S, Gurlek Demirci B, Tutal E, Guliyev O, Say N CB, Ozdemir Acar FN, Haberal M, Albugami MM, Hussein M, Alsaeed S, Almubarak A, Bel'eed-Akkari K, Go biewska JE, Tarasewicz A, D bska- lizie A, Rutkowski B, Albugami MM, Hussein M, Almubarak A, Alsaeed S, Bel'eed-Akkari K, Ailioaie O, Arzouk N, Tourret J, Mercadal L, Szumilak D, Ourahma S, Parra J, Billault C, Barrou B, Alfieri CM, Floreani R, Ulivieri FM, Meneghini M, Regalia A, Zanoni F, Croci D, Rastaldi MP, Messa PG, Keyzer CA, Riphagen IJ, Joosten MM, Navis G, Muller Kobold AC, Kema IP, Bakker SJL, De Borst MH, Santos Lascasas J, Malheiro J, Fonseca I, Martins L, Almeida M, Pedroso S, Dias L, Henriques A, Cabrita A, Vincenti F, Weir M, Von Visger J, Kopyt N, Mannon R, Deng H, Yue S, Wolf M, Halleck F, Khadzhynov, D, Schmidt D, Petereit F, Slowinski T, Neumayer HH, Budde K, Staeck O, Hernandez Vargas H, Artamendi Larranaga M, Gil Catalinas F, Ramalle Gomara E, Bello Ovalle A, Pimentel Guzman G, Coloma Lopez A, Dall Anesse C, Gil Paraiso A, Beired Val I, Sierra Carpio M, Huarte Loza E, Slubowska K, Szmidt J, Chmura A, Durlik M, Staeck O, Khadzhynov D, Schmidt D, Niemann M, Petereit F, Lachmann N, Neumayer HH, Budde K, Halleck F, Alotaibi T, Nampoory N, Gheith O, Halim M, Aboatteya H, Mansour H, Abdulkawey H, Said T, Nair P, WazNa-Jab O Ska E, Durlik M, Elias M, Caillard S, Morelon E, Rivalan J, Moal V, Frimat L, Mourad G, Rerolle JP, Legendre C, Mousson C, Delahousse M, Pouteil-Noble C, Dantal J, Cassuto E, Subra JF, Lang P, Thervet E, Roosweil D, Molnar MZ, Fornadi K, Ronai KZ, Novak M, Mucsi I, Scale TM, Robertson S, Kumwenda M, Jibani M, Griffin S, Williams AJ, Mikhail A, Jeong JC, Koo TY, Jeon HJ, Han M, Oh KH, Ahn C, Yang J, Bancu I, Canas L, Juega J, Malumbres S, Guermah I, Bonet J, Lauzurica R, Basso E, Messina M, Daidola G, Mella A, Lavacca A, Manzione AM, Rossetti M, Ranghino A, Ariaudo C, Segoloni GP, Biancone L, Whang E, Son SH, Kwon H, Kong JJ, Choi WY, Yoon CS, Ferreira AC, Silva C, Aires I, Ferreira A, Remedio F, Nolasco F, Ratkovic M, Basic Jukic N, Gledovic B, Radunovic D, Prelevic V, Stefan G, Garneata L, Bucsa C, Harza M, Sinescu I, Mircescu G, Tacu D, Aniort J, Kaysi S, Mulliez A, Heng AE, Su owicz J, Wojas-Pelc A, Ignacak E, Janda K, Krzanowski M, Miarka P, Su owicz W, Filipov JJ, Zlatkov BK, Dimitrov EP, Svinarov DA, Champion L, Renoux C, Randoux C, Du Halgouet C, Azeroual L, Glotz D, Vrtovsnik F, Daugas E, Musetti C, Battista M, Cena T, Izzo C, Airoldi A, Magnani C, Stratta P, Fiskvik I, Holte H, Bentdal O, Holdaas H, Erkmen Uyar M, Sezer S, Bal Z, Guliyev O, Colak T, Gurlek Demirci B, Ozdemir Acar N, Haberal M, Kara E, Ahbap E, Basturk T, Koc Y, Sakaci T, Sahutoglu T, Akgol C, Sevinc M, Unsal A, Seyahi N, Abdultawab K, Alotaibi T, Gheith O, Mansour H, Halim M, Nair P, Said T, Balaha M, Elsayed A, Awadeen W, Nampoory N, Hwang JC, Jiang MY, Lu YH, Weng SF, Madziarska K, Zmonarski SC, Augustyniak-Bartosik H, Magott-Procelewska M, Krajewska M, Mazanowska O, Banasik M, Penar J, Weyde W, Boraty Ska M, Klinger M, Swarnalatha G, Narendranath L, Shanta Rao G, Sawhney A, Subrahmanyam L, Kumar S, Jeon H, Hakim A, Patel U, Shrivastava S, Banerjee D, Kimura T, Yagisawa T, Nanmoku K, Kurosawa A, Sakuma Y, Miki A, Nukui A, Lee CH, Oh IH, Park JS, Watarai Y, Narumi S, Goto N, Hiramitsu T, Tsujita M, Yamamoto T, Kobayashi T, Muniz Pacios L, Molina M, Cabrera J, Gonzalez E, Garcia Santiago A, Aunon P, Santana S, Polanco N, Gutierrez E, Jimenez C, Andres A, Mohammed M, Hammam M, Housawi A, Goldsmith DJ, Cronin A, Frame S, Smalcelj R, Canoz MB, Yavuz DD, Altunoglu A, Yavuz R, Colak T, Haberal M, Tong A, Hanson CS, Chapman JR, Halleck F, Budde K, Papachristou C, Craig J, Zheng XY, Han S, Wang LM, Zhu YH, Zeng L, Zhou MS, Guliyev O, Erkmen Uyar M, Sezer S, Bal Z, Colak T, Gurlek Demirci B, Ozdemir Acar N, Haberal M, Ranghino A, Diena D, De Rosa FG, Faletti R, Barbui AM, Guarnaccia C, Corcione S, Messina M, Ariaudo C, Segoloni GP, Biancone L, Patel R, Murray PD, Moiseev A, Kalachik A, Harden PN, Norby G, Mjoen G, Holdaas H, Gilboe IM, Shi Y, Luo L, Cai B, Wang T, Tao Y, Wang L, Erkmen Uyar M, Sezer S, Bal Z, Guliyev O, Tutal E, Gurlek Demirci B, Ozdemir Acar N, Haberal M, Di Vico MC, Messina M, Mezza E, Giraudi R, Nappo A, Boaglio E, Ranghino A, Fop F, Segoloni GP, Biancone L, Carta P, Dattolo E, Buti E, Zanazzi M, Villari D, Di Maria L, Santoro G, Li Marzi V, Minetti EE, Nicita G, Carta P, Zanazzi M, Buti E, Antognoli G, Dervishi E, Vignali L, Caroti L, Di Maria L, Minetti EE, Dorje C, Kovacevic G, Hammarstrom C, Strom EH, Holdaas H, Midtvedt K, Reisaeter AV, Alfieri CM, Floreani R, Meneghini M, Regalia A, Zanoni F, Vettoretti S, Croci MD, Rastaldi MP, Messa P, Heldal K, Lonning K, Reisaeter AV, Bernklev T, Midtvedt K, Strakosha A, Pasko N, Nasto F, Cadri V, Dedei A, Thereska N. TRANSPLANTATION CLINICAL 2. Nephrol Dial Transplant 2014. [DOI: 10.1093/ndt/gfu180] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Zhang Z, Jones D, Yue S, Lee P, Jones J, Sutcliffe C, Jones E. Hierarchical tailoring of strut architecture to control permeability of additive manufactured titanium implants. Materials Science and Engineering: C 2013; 33:4055-62. [DOI: 10.1016/j.msec.2013.05.050] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2012] [Revised: 04/24/2013] [Accepted: 05/24/2013] [Indexed: 10/26/2022]
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Sriraman K, Brahimi S, Szpunar J, Osborne J, Yue S. Characterization of corrosion resistance of electrodeposited Zn–Ni Zn and Cd coatings. Electrochim Acta 2013. [DOI: 10.1016/j.electacta.2013.05.010] [Citation(s) in RCA: 70] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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