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Xin W, Yang ZY, Li HR, Li C, Wu P, Tong Y, Duan DF, Bao GQ. [Clinical application of a novel separated magnetic controlled forceps assisted single-incision laparoscopic cholecystectomy]. Zhonghua Wai Ke Za Zhi 2024; 62:406-411. [PMID: 38548609 DOI: 10.3760/cma.j.cn112139-20231022-00187] [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] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/09/2024]
Abstract
Objective: To explore the application value of a novel separated magnetic-controlled forceps in transumbilical single-incision laparoscopic cholecystectomy (SILC). Methods: This is a prospective case series study. Data from patients who underwent SILC at the Department of General Surgery, the Second Affiliated Hospital of Air Force Medical University from March to August 2023 were prospectively collected, based on inclusion and exclusion criteria. All patients underwent cholecystectomy assisted by a novel separated magnetic-controlled forceps. Surgical time, intraoperative blood loss, the need for additional incisions during surgery, and the length of hospital stay were recorded to assess surgical difficulty and effectiveness. Postoperative pain scores and complications were documented to evaluate the safety of the procedure. The collaboration experience of the surgeon and assistant was evaluated using a 5-point Likert scale to assess the feasibility of this surgical approach. Informed consent was obtained from all patients in accordance with medical ethical regulations. Patients were followed up through outpatient visits or telephone calls, with follow-up at 7 days and 1 month after surgery, and evaluation of incisional scar healing and completion of satisfaction questionnaires. Follow-up was conducted until September 30, 2023. Results: A total of 45 patients were included in the study,including 19 males and 26 females,aged (42.7±4.2)years(range:32 to 61 years). The difficulty of the operation was evaluated as grade 1 or 2 in 38 cases(84.4%) and grade 3 in 7 cases(15.6%). Operation time was (37.3±5.3) minutes(range: 25 to 80 minutes),and intraoperative blood loss(M(IQR)) was 17.8(35.0) ml (range:10 to 60 ml). All surgical procedures proceeded smoothly without intraoperative incidents, and the overall satisfaction of the surgeon and assistants was high. All patients underwent successful day surgery management and were discharged within 48 hours of hospitalization. The postoperative pain scores at 1, 7, and 30 days were 3 (4), 1 (3), and 0 (2), respectively. The follow-up time was 5.0(2.2) weeks (range: 3 to 7 weeks), with no occurrence of grade 3 to 4 adverse reactions, and the patients were satisfied with the cosmetic effect of the umbilical incision. Conclusions: The novel separated magnetic-controlled forceps can be applied in transumbilical SILC. It has the advantages of convenient operation, and patients are satisfied with the surgical results.
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Affiliation(s)
- W Xin
- Department of General Surgery,the Second Affiliated Hospital (Tangdu Hospital) of Air Force Medical University,Xi'an 710038,China
| | - Z Y Yang
- Department of General Surgery,the Second Affiliated Hospital (Tangdu Hospital) of Air Force Medical University,Xi'an 710038,China
| | - H R Li
- Department of General Surgery,the Second Affiliated Hospital (Tangdu Hospital) of Air Force Medical University,Xi'an 710038,China
| | - C Li
- Department of Anesthesiology,the Second Affiliated Hospital (Tangdu Hospital) of Air Force Medical University, Xi'an 710038, China
| | - P Wu
- Department of Anesthesiology,the Second Affiliated Hospital (Tangdu Hospital) of Air Force Medical University, Xi'an 710038, China
| | - Y Tong
- Department of Anesthesiology,the Second Affiliated Hospital (Tangdu Hospital) of Air Force Medical University, Xi'an 710038, China
| | - D F Duan
- Department of General Surgery,the Second Affiliated Hospital (Tangdu Hospital) of Air Force Medical University,Xi'an 710038,China
| | - G Q Bao
- Department of General Surgery,the Second Affiliated Hospital (Tangdu Hospital) of Air Force Medical University,Xi'an 710038,China
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Zhou L, Chang G, Shen C, Teng W, He X, Zhao X, Jing Y, Huang Z, Tong Y. Functional divergences of natural variations of TaNAM-A1 in controlling leaf senescence during wheat grain filling. J Integr Plant Biol 2024. [PMID: 38656698 DOI: 10.1111/jipb.13658] [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] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 03/13/2024] [Indexed: 04/26/2024]
Abstract
Leaf senescence is an essential physiological process related to grain yield potential and nutritional quality. Green leaf duration (GLD) after anthesis directly reflects the leaf senescence process and exhibits large genotypic differences in common wheat; however, the underlying gene regulatory mechanism is still lacking. Here, we identified TaNAM-A1 as the causal gene of the major loci qGLD-6A for GLD during grain filling by map-based cloning. Transgenic assays and TILLING mutant analyses demonstrated that TaNAM-A1 played a critical role in regulating leaf senescence, and also affected spike length and grain size. Furthermore, the functional divergences among the three haplotypes of TaNAM-A1 were systematically evaluated. Wheat varieties with TaNAM-A1d (containing two mutations in the coding DNA sequence of TaNAM-A1) exhibited a longer GLD and superior yield-related traits compared to those with the wild type TaNAM-A1a. All three haplotypes were functional in activating the expression of genes involved in macromolecule degradation and mineral nutrient remobilization, with TaNAM-A1a showing the strongest activity and TaNAM-A1d the weakest. TaNAM-A1 also modulated the expression of the senescence-related transcription factors TaNAC-S-7A and TaNAC016-3A. TaNAC016-3A enhanced the transcriptional activation ability of TaNAM-A1a by protein-protein interaction, thereby promoting the senescence process. Our study offers new insights into the fine-tuning of the leaf functional period and grain yield formation for wheat breeding under various geographical climatic conditions.
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Affiliation(s)
- Longxi Zhou
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Sciences, Chinese Academy of Sciences, Beijing, 100101, China
| | - Guowei Chang
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Sciences, Chinese Academy of Sciences, Beijing, 100101, China
| | - Chuncai Shen
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Sciences, Chinese Academy of Sciences, Beijing, 100101, China
| | - Wan Teng
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Sciences, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xue He
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Sciences, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xueqiang Zhao
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Sciences, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yanfu Jing
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Sciences, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhixiong Huang
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Sciences, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yiping Tong
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Sciences, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
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Jing Y, Shen C, Li W, Peng L, Hu M, Zhang Y, Zhao X, Teng W, Tong Y, He X. TaLBD41 interacts with TaNAC2 to regulate nitrogen uptake and metabolism in response to nitrate availability. New Phytol 2024; 242:641-657. [PMID: 38379453 DOI: 10.1111/nph.19579] [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: 06/08/2023] [Accepted: 01/17/2024] [Indexed: 02/22/2024]
Abstract
Nitrate is the main source of nitrogen (N) available to plants and also is a signal that triggers complex regulation of transcriptional networks to modulate a wide variety of physiological and developmental responses in plants. How plants adapt to soil nitrate fluctuations is a complex process involving a fine-tuned response to nitrate provision and N starvation, the molecular mechanisms of which remain largely uncharted. Here, we report that the wheat transcription factor TaLBD41 interacts with the nitrate-inducible transcription factor TaNAC2 and is repressed by nitrate provision. Electrophoretic mobility shift assay and dual-luciferase system show that the TaLBD41-NAC2 interaction confers homeostatic coordination of nitrate uptake, reduction, and assimilation by competitively binding to TaNRT2.1, TaNR1.2, and TaNADH-GOGAT. Knockdown of TaLBD41 expression enhances N uptake and assimilation, increases spike number, grain yield, and nitrogen harvest index under different N supply conditions. We also identified an elite haplotype of TaLBD41-2B associated with increased spike number and grain yield. Our study uncovers a novel mechanism underlying the interaction between two transcription factors in mediating wheat adaptation to nitrate availability by antagonistically regulating nitrate uptake and assimilation, providing a potential target for designing varieties with efficient N use in wheat (Triticum aestivum).
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Affiliation(s)
- Yanfu Jing
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chuncai Shen
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Wenjing Li
- Yazhouwan National Laboratory, Sanya, 572024, China
| | - Lei Peng
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Mengyun Hu
- The Institute for Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, 050035, China
| | - Yingjun Zhang
- The Institute for Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, 050035, China
| | - Xueqiang Zhao
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Wan Teng
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yiping Tong
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xue He
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
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Peng R, Tong Y, Yang M, Wang J, Yang L, Zhu J, Liu Y, Wang H, Shi Z, Liu Y. Global burden and inequality of maternal and neonatal disorders: based on data from the 2019 Global Burden of Disease study. QJM 2024; 117:24-37. [PMID: 37773990 PMCID: PMC10849872 DOI: 10.1093/qjmed/hcad220] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 09/04/2023] [Indexed: 10/01/2023] Open
Abstract
BACKGROUND Maternal and neonatal disorders account for substantial health loss across the lifespan from early childhood. These problems may be related to health inequality. AIM To provide evidence for improvement in health policies regarding maternal and neonatal disorder inequity. DESIGN This was a population-based cross-sectional study based on 2019 Global Burden of Disease data. METHODS Annual cases and age-standardized rates (ASRs) of incidence, prevalence, death, and disability-adjusted life-years (DALYs) in maternal and neonatal disorders between 1990 and 2019 were collected from the 2019 Global Burden of Disease study. Concentration curves and concentration indices were used to summarize the degree of socioeconomic-related inequality. RESULTS For maternal disorders, the global ASRs of incidence, prevalence, death and DALYs were 2889.4 (95% uncertainty interval (UI), 2562.9-3251.9), 502.9 (95% UI 418.7-598.0), 5.0 (95% UI 4.4-5.8) and 324.9 (95% UI 284.0-369.1) per 100 000 women in 2019, respectively. The ASRs of maternal disorders were all obviously reduced and remained pro-poor from 1990 to 2019. In neonatal disorders, the global ASRs of incidence, prevalence, death and DALYs were 363.3 (95% UI 334.6-396.8), 1239.8 (95% UI 1142.1-1356.7), 29.1 (95% UI 24.8-34.5) and 2828.3 (95% UI 2441.6-3329.6) per 100 000 people in 2019, respectively. The global ASRs of incidence, death and DALYs in neonatal disorders have remained pro-poor. However, the socioeconomic-related fairness in the ASR of neonatal disorder prevalence is being levelled. CONCLUSIONS The global burden of maternal and neonatal disorders has remained high, and socioeconomic-related inequality (pro-poor) tended not to change between 1990 and 2019.
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Affiliation(s)
- R Peng
- Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, China
| | - Y Tong
- Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, China
| | - M Yang
- Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, China
| | - J Wang
- Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, China
| | - L Yang
- Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, China
| | - J Zhu
- Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, China
| | - Yu Liu
- Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, China
| | - H Wang
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Sichuan, 610041, China
| | - Z Shi
- Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, China
| | - Ya Liu
- Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, China
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Talwar AA, Desai AA, McAuliffe PB, Broach RB, Hsu JY, Liu T, Udupa JK, Tong Y, Torigian DA, Fischer JP. Optimal computed tomography-based biomarkers for prediction of incisional hernia formation. Hernia 2024; 28:17-24. [PMID: 37676569 DOI: 10.1007/s10029-023-02835-7] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 07/04/2023] [Indexed: 09/08/2023]
Abstract
PURPOSE Unstructured data are an untapped source for surgical prediction. Modern image analysis and machine learning (ML) can harness unstructured data in medical imaging. Incisional hernia (IH) is a pervasive surgical disease, well-suited for prediction using image analysis. Our objective was to identify optimal biomarkers (OBMs) from preoperative abdominopelvic computed tomography (CT) imaging which are most predictive of IH development. METHODS Two hundred and twelve rigorously matched colorectal surgery patients at our institution were included. Preoperative abdominopelvic CT scans were segmented to derive linear, volumetric, intensity-based, and textural features. These features were analyzed to find a small subset of OBMs, which are maximally predictive of IH. Three ML classifiers (Ensemble Boosting, Random Forest, SVM) trained on these OBMs were used for prediction of IH. RESULTS Altogether, 279 features were extracted from each CT scan. The most predictive OBMs found were: (1) abdominopelvic visceral adipose tissue (VAT) volume, normalized for height; (2) abdominopelvic skeletal muscle tissue volume, normalized for height; and (3) pelvic VAT volume to pelvic outer aspect of body wall skeletal musculature (OAM) volume ratio. Among ML prediction models, Ensemble Boosting produced the best performance with an AUC of 0.85, accuracy of 0.83, sensitivity of 0.86, and specificity of 0.81. CONCLUSION These OBMs suggest increased intra-abdominopelvic volume/pressure as the salient pathophysiologic driver and likely mechanism for IH formation. ML models using these OBMs are highly predictive for IH development. The next generation of surgical prediction will maximize the utility of unstructured data using advanced image analysis and ML.
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Affiliation(s)
- A A Talwar
- Division of Plastic Surgery, Department of Surgery, University of Pennsylvania Health System, 3400 Civic Center Boulevard, 14th floor South Tower, Philadelphia, PA, 19104, USA
| | - A A Desai
- Division of Plastic Surgery, Department of Surgery, University of Pennsylvania Health System, 3400 Civic Center Boulevard, 14th floor South Tower, Philadelphia, PA, 19104, USA
| | - P B McAuliffe
- Division of Plastic Surgery, Department of Surgery, University of Pennsylvania Health System, 3400 Civic Center Boulevard, 14th floor South Tower, Philadelphia, PA, 19104, USA
| | - R B Broach
- Division of Plastic Surgery, Department of Surgery, University of Pennsylvania Health System, 3400 Civic Center Boulevard, 14th floor South Tower, Philadelphia, PA, 19104, USA
| | - J Y Hsu
- Division of Biostatistics, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - T Liu
- School of Information Science and Engineering, Yanshan University, Qinhuangdao, China
| | - J K Udupa
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Y Tong
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - D A Torigian
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - J P Fischer
- Division of Plastic Surgery, Department of Surgery, University of Pennsylvania Health System, 3400 Civic Center Boulevard, 14th floor South Tower, Philadelphia, PA, 19104, USA.
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Tong Y, Dong XF, Chen Y, Chen RJ. [A case of 17q12 microdeletion syndrome characterized by diabetes]. Zhonghua Nei Ke Za Zhi 2024; 63:206-208. [PMID: 38326049 DOI: 10.3760/cma.j.cn112138-20230812-00051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Affiliation(s)
- Y Tong
- Department of Endocrinology, the First Hospital of Longyan, Affiliated Hospital of Fujian Medical University, Longyan 364099, China
| | - X F Dong
- Department of Genome Clinical Service and Data Center, KingMed Diagnostics, Guangzhou 510005, China
| | - Y Chen
- Department of Endocrinology, the First Hospital of Longyan, Affiliated Hospital of Fujian Medical University, Longyan 364099, China
| | - R J Chen
- Department of Endocrinology, the First Hospital of Longyan, Affiliated Hospital of Fujian Medical University, Longyan 364099, China
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Tong Y, Cho S, Coenen VA, Döbrössy MD. Input-output relation of midbrain connectomics in a rodent model of depression. J Affect Disord 2024; 345:443-454. [PMID: 37890539 DOI: 10.1016/j.jad.2023.10.124] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 09/13/2023] [Accepted: 10/18/2023] [Indexed: 10/29/2023]
Abstract
BACKGROUND The symptoms associated with depression are believed to arise from disruptions in information processing across brain networks. The ventral tegmental area (VTA) influences reward-based behavior, motivation, addiction, and psychiatric disorders, including depression. Deep brain stimulation (DBS) of the medial forebrain bundle (MFB), is an emerging therapy for treatment-resistant depression. Understanding the depression associated anatomical networks crucial for comprehending its antidepressant effects. METHODS Flinders Sensitive Line (FSL), a rodent model of depression and Sprague-Dawley rats (n = 10 each) were used in this study. We used monosynaptic tracing to map inputs of VTA efferent neurons: VTA-to-NAc nucleus accumbens (NAc) (both core and shell) and VTA-to-prefrontal cortex (PFC). Quantitative analysis explored afferent diversity and strengths. RESULTS VTA efferent neurons receive a variety of afferents with varying input weights and predominant neuromodulatory representation. Notably, NAc-core projecting VTA neurons showed stronger afferents from dorsal raphe, while NAc shell-projecting VTA neurons displayed lower input strengths from cortex, thalamus, zona incerta and pretectal area in FSL rats. NAc shell-projecting VTA neurons showed the most difference in connectivity across the experimental groups. LIMITATIONS Lack of functional properties of the anatomical connections is the major limitation of this study. Incomplete labeling and the cytotoxicity of the rabies virus should be made aware of. CONCLUSIONS These findings provide the first characterization of inputs to different VTA ascending projection neurons, shedding light on critical differences in the connectome of the midbrain-forebrain system. Moreover, these differences support potential network effects of these circuits in the context of MFB DBS neuromodulation for depression.
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Affiliation(s)
- Y Tong
- Laboratory of Stereotaxy and Interventional Neurosciences, Department of Stereotactic and Functional Neurosurgery, University Hospital Freiburg, 79106 Freiburg, Germany; Department of Stereotactic and Functional Neurosurgery, University Hospital Freiburg, 79106 Freiburg, Germany
| | - S Cho
- Laboratory of Stereotaxy and Interventional Neurosciences, Department of Stereotactic and Functional Neurosurgery, University Hospital Freiburg, 79106 Freiburg, Germany; Department of Stereotactic and Functional Neurosurgery, University Hospital Freiburg, 79106 Freiburg, Germany; Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany
| | - V A Coenen
- Laboratory of Stereotaxy and Interventional Neurosciences, Department of Stereotactic and Functional Neurosurgery, University Hospital Freiburg, 79106 Freiburg, Germany; Department of Stereotactic and Functional Neurosurgery, University Hospital Freiburg, 79106 Freiburg, Germany; Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; Center for Basics in Neuromodulation, University of Freiburg, 79106 Freiburg, Germany; IMBIT (Institute for Machine-Brain Interfacing Technology), University of Freiburg, 79110 Freiburg, Germany
| | - M D Döbrössy
- Laboratory of Stereotaxy and Interventional Neurosciences, Department of Stereotactic and Functional Neurosurgery, University Hospital Freiburg, 79106 Freiburg, Germany; Department of Stereotactic and Functional Neurosurgery, University Hospital Freiburg, 79106 Freiburg, Germany; Center for Basics in Neuromodulation, University of Freiburg, 79106 Freiburg, Germany.
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Zhang H, Jin Z, Cui F, Zhao L, Zhang X, Chen J, Zhang J, Li Y, Li Y, Niu Y, Zhang W, Gao C, Fu X, Tong Y, Wang L, Ling HQ, Li J, Xiao J. Epigenetic modifications regulate cultivar-specific root development and metabolic adaptation to nitrogen availability in wheat. Nat Commun 2023; 14:8238. [PMID: 38086830 PMCID: PMC10716289 DOI: 10.1038/s41467-023-44003-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 11/27/2023] [Indexed: 12/18/2023] Open
Abstract
The breeding of crops with improved nitrogen use efficiency (NUE) is crucial for sustainable agriculture, but the involvement of epigenetic modifications remains unexplored. Here, we analyze the chromatin landscapes of two wheat cultivars (KN9204 and J411) that differ in NUE under varied nitrogen conditions. The expression of nitrogen metabolism genes is closely linked to variation in histone modification instead of differences in DNA sequence. Epigenetic modifications exhibit clear cultivar-specificity, which likely contributes to distinct agronomic traits. Additionally, low nitrogen (LN) induces H3K27ac and H3K27me3 to significantly enhance root growth in KN9204, while remarkably inducing NRT2 in J411. Evidence from histone deacetylase inhibitor treatment and transgenic plants with loss function of H3K27me3 methyltransferase shows that changes in epigenetic modifications could alter the strategy preference for root development or nitrogen uptake in response to LN. Here, we show the importance of epigenetic regulation in mediating cultivar-specific adaptation to LN in wheat.
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Affiliation(s)
- Hao Zhang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhiyuan Jin
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Research Center of the Basic Discipline of Cell Biology, Hebei Key Laboratory of Molecular and Cellular Biology, Hebei Normal University, Shijiazhuang, 050024, China
- Hebei Collaboration Innovation Center for Cell Signaling, Shijiazhuang, 050024, China
| | - Fa Cui
- Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong, College of Agriculture, Ludong University, Yantai, 264025, China
| | - Long Zhao
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiaoyu Zhang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jinchao Chen
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jing Zhang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yanyan Li
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050022, Hebei, China
| | - Yongpeng Li
- Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050022, Hebei, China
| | - Yanxiao Niu
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Research Center of the Basic Discipline of Cell Biology, Hebei Key Laboratory of Molecular and Cellular Biology, Hebei Normal University, Shijiazhuang, 050024, China
- Hebei Collaboration Innovation Center for Cell Signaling, Shijiazhuang, 050024, China
| | - Wenli Zhang
- State Key Laboratory for Crop Genetics and Germplasm Enhancement and Utilization, CICMCP, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Caixia Gao
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiangdong Fu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yiping Tong
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lei Wang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050022, Hebei, China
| | - Hong-Qing Ling
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Hainan Yazhou Bay Seed Laboratory, Sanya, Hainan, China.
| | - Junming Li
- Hebei Collaboration Innovation Center for Cell Signaling, Shijiazhuang, 050024, China.
- Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong, College of Agriculture, Ludong University, Yantai, 264025, China.
- Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050022, Hebei, China.
| | - Jun Xiao
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Centre of Excellence for Plant and Microbial Science (CEPAMS), JIC-CAS, Beijing, China.
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Zhou Y, Tang L, Tong Y, Huang J, Wang J, Zhang Y, Jiang H, Xu N, Gong Y, Yin J, Jiang Q, Zhou J, Zhou Y. [Spatial distribution characteristics of the prevalence of advanced schistosomiasis and seroprevalence of anti- Schistosoma antibody in Hunan Province in 2020]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:444-450. [PMID: 38148532 DOI: 10.16250/j.32.1374.2023103] [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] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
OBJECTIVE To investigate the spatial distribution characteristics of the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody, and to examine the correlation between the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody in Hunan Province in 2020, so as to provide insights into advanced schistosomiais control in the province. METHODS The epidemiological data of schistosomiasis in Hunan Province in 2020 were collected, including number of permanent residents in survey villages, number of advanced schistosomiasis patients, number of residents receiving serological tests and number of residents seropositive for anti-Schistosoma antibody, and the prevalence advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody were descriptively analyzed. Village-based spatial distribution characteristics of prevalence advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody were identified in Hunan Province in 2020, and the correlation between the revalence advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody was examined using Spearman correlation analysis. RESULTS The prevalence of advanced schistosomiasis was 0 to 2.72% and the seroprevalence of anti-Schistosoma antibody was 0 to 20.25% in 1 153 schistosomiasis-endemic villages in Hunan Province in 2020. Spatial clusters were identified in both the prevalence of advanced schistosomiasis (global Moran's I = 0.416, P < 0.01) and the seroprevalence of anti-Schistosoma antibody (global Moran's I = 0.711, P < 0.01) in Hunan Province. Local spatial autocorrelation analysis identified 98 schistosomiasis-endemic villages with high-high clusters of the prevalence of advanced schistosomiasis, 134 endemic villages with high-high clusters of the seroprevalence of anti-Schistosoma antibody and 36 endemic villages with high-high clusters of both the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody in Hunan Province. In addition, spearman correlation analysis showed a positive correlation between the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody (rs = 0.235, P < 0.05). CONCLUSIONS There were spatial clusters of the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody in Hunan Province in 2020, which were predominantly located in areas neighboring the Dongting Lake. These clusters should be given a high priority in the schistosomiasis control programs.
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Affiliation(s)
- Y Zhou
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - L Tang
- Hunan Institute of Schistosomiasis Control, Yueyang, Hunan 414000, China
| | - Y Tong
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Huang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Wang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Y Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - H Jiang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - N Xu
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Y Gong
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Yin
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Q Jiang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Zhou
- Hunan Institute of Schistosomiasis Control, Yueyang, Hunan 414000, China
| | - Y Zhou
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
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10
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Li Z, Zhang Y, Ding CH, Chen Y, Wang H, Zhang J, Ying S, Wang M, Zhang R, Liu J, Xie Y, Tang T, Diao H, Ye L, Zhuang Y, Teng W, Zhang B, Huang L, Tong Y, Zhang W, Li G, Benhamed M, Dong Z, Gou JY, Zhang Y. LHP1-mediated epigenetic buffering of subgenome diversity and defense responses confers genome plasticity and adaptability in allopolyploid wheat. Nat Commun 2023; 14:7538. [PMID: 37985755 PMCID: PMC10661560 DOI: 10.1038/s41467-023-43178-2] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 10/25/2023] [Indexed: 11/22/2023] Open
Abstract
Polyploidization is a major driver of genome diversification and environmental adaptation. However, the merger of different genomes may result in genomic conflicts, raising a major question regarding how genetic diversity is interpreted and regulated to enable environmental plasticity. By analyzing the genome-wide binding of 191 trans-factors in allopolyploid wheat, we identified like heterochromatin protein 1 (LHP1) as a master regulator of subgenome-diversified genes. Transcriptomic and epigenomic analyses of LHP1 mutants reveal its role in buffering the expression of subgenome-diversified defense genes by controlling H3K27me3 homeostasis. Stripe rust infection releases latent subgenomic variations by eliminating H3K27me3-related repression. The simultaneous inactivation of LHP1 homoeologs by CRISPR-Cas9 confers robust stripe rust resistance in wheat seedlings. The conditional repression of subgenome-diversified defenses ensures developmental plasticity to external changes, while also promoting neutral-to-non-neutral selection transitions and adaptive evolution. These findings establish an LHP1-mediated buffering system at the intersection of genotypes, environments, and phenotypes in polyploid wheat. Manipulating the epigenetic buffering capacity offers a tool to harness cryptic subgenomic variations for crop improvement.
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Affiliation(s)
- Zijuan Li
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, 200032, Shanghai, China
- University of the Chinese Academy of Sciences, 100049, Beijing, China
| | - Yuyun Zhang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, 200032, Shanghai, China
- University of the Chinese Academy of Sciences, 100049, Beijing, China
| | - Ci-Hang Ding
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
- Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing, China
| | - Yan Chen
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, 510006, Guangzhou, China
| | - Haoyu Wang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, 200032, Shanghai, China
- Henan University, School of Life Science, 457000, Kaifeng, Henan, China
| | - Jinyu Zhang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, 200032, Shanghai, China
- University of the Chinese Academy of Sciences, 100049, Beijing, China
| | - Songbei Ying
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Meiyue Wang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Rongzhi Zhang
- Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, China
- Ministry of Agriculture, Key Laboratory of Wheat Biology and Genetic Improvement on North Yellow and Huai River Valley, Jinan, China
- National Engineering Research Center for Wheat and Maize, Jinan, Shandong, China
| | - Jinyi Liu
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, 200032, Shanghai, China
- University of the Chinese Academy of Sciences, 100049, Beijing, China
| | - Yilin Xie
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, 200032, Shanghai, China
- University of the Chinese Academy of Sciences, 100049, Beijing, China
| | - Tengfei Tang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, 200032, Shanghai, China
- Henan University, School of Life Science, 457000, Kaifeng, Henan, China
| | - Huishan Diao
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Luhuan Ye
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, 200032, Shanghai, China
| | - Yili Zhuang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, 200032, Shanghai, China
| | - Wan Teng
- University of the Chinese Academy of Sciences, 100049, Beijing, China
- The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, the Innovative Academy of Seed Design, Chinese Academy of Sciences, 100101, Beijing, China
| | - Bo Zhang
- Northwest Institute of Plateau Biology, Chinese Academy of Sciences, 810008, Xining, China
| | - Lin Huang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, 611130, Wenjiang, Chengdu, China
| | - Yiping Tong
- University of the Chinese Academy of Sciences, 100049, Beijing, China
- The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, the Innovative Academy of Seed Design, Chinese Academy of Sciences, 100101, Beijing, China
| | - Wenli Zhang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, No.1 Weigang, 210095, Nanjing, Jiangsu, China
| | - Genying Li
- Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, China
- Ministry of Agriculture, Key Laboratory of Wheat Biology and Genetic Improvement on North Yellow and Huai River Valley, Jinan, China
- National Engineering Research Center for Wheat and Maize, Jinan, Shandong, China
| | - Moussa Benhamed
- Université Paris Cité, Institute of Plant Sciences Paris-Saclay (IPS2), F-75006, Paris, France.
- Université Paris-Saclay, CNRS, INRAE, Univ Evry, Institute of Plant Sciences Paris-Saclay (IPS2), 91405, Orsay, France.
| | - Zhicheng Dong
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, 510006, Guangzhou, China.
| | - Jin-Ying Gou
- Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing, China.
| | - Yijing Zhang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China.
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11
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Xie Y, Ying S, Li Z, Zhang Y, Zhu J, Zhang J, Wang M, Diao H, Wang H, Zhang Y, Ye L, Zhuang Y, Zhao F, Teng W, Zhang W, Tong Y, Cho J, Dong Z, Xue Y, Zhang Y. Transposable element-initiated enhancer-like elements generate the subgenome-biased spike specificity of polyploid wheat. Nat Commun 2023; 14:7465. [PMID: 37978184 PMCID: PMC10656477 DOI: 10.1038/s41467-023-42771-9] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 10/20/2023] [Indexed: 11/19/2023] Open
Abstract
Transposable elements (TEs) comprise ~85% of the common wheat genome, which are highly diverse among subgenomes, possibly contribute to polyploid plasticity, but the causality is only assumed. Here, by integrating data from gene expression cap analysis and epigenome profiling via hidden Markov model in common wheat, we detect a large proportion of enhancer-like elements (ELEs) derived from TEs producing nascent noncoding transcripts, namely ELE-RNAs, which are well indicative of the regulatory activity of ELEs. Quantifying ELE-RNA transcriptome across typical developmental stages reveals that TE-initiated ELE-RNAs are mainly from RLG_famc7.3 specifically expanded in subgenome A. Acquisition of spike-specific transcription factor binding likely confers spike-specific expression of RLG_famc7.3-initiated ELE-RNAs. Knockdown of RLG_famc7.3-initiated ELE-RNAs resulted in global downregulation of spike-specific genes and abnormal spike development. These findings link TE expansion to regulatory specificity and polyploid developmental plasticity, highlighting the functional impact of TE-driven regulatory innovation on polyploid evolution.
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Affiliation(s)
- Yilin Xie
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Songbei Ying
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Zijuan Li
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Yu'e Zhang
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, and The Innovation Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Jiafu Zhu
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006, China
| | - Jinyu Zhang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Meiyue Wang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Huishan Diao
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Haoyu Wang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- Henan University, School of Life Science, Kaifeng, Henan, 457000, China
| | - Yuyun Zhang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Luhuan Ye
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Yili Zhuang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Fei Zhao
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Wan Teng
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, and The Innovation Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Wenli Zhang
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, CIC-MCP, Nanjing Agricultural University, No.1 Weigang, Nanjing, Jiangsu, 210095, China
| | - Yiping Tong
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, and The Innovation Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Jungnam Cho
- Department of Biosciences, Durham University, Durham, DH1 3LE, United Kingdom.
| | - Zhicheng Dong
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006, China.
| | - Yongbiao Xue
- University of the Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, and The Innovation Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Centre for Bioinformation, Beijing, 100101, China.
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, 225009, China.
| | - Yijing Zhang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China.
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12
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Tong Y, Udupa JK, Odhner D, Liu T, Jin C, Taunk NK, Pigrish V, Owens S, Camaratta J, Svatos M, Torigian DA. A Hybrid Intelligence (HI) System for Segmenting Rectoprostatic Spacer Gel and Key OARs on CT Images for Prostate Cancer Radiation Therapy Planning. Int J Radiat Oncol Biol Phys 2023; 117:e727. [PMID: 37786116 DOI: 10.1016/j.ijrobp.2023.06.2241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Our hybrid intelligence (HI) system, combining natural and artificial intelligence, is effective for auto-contouring H&N and thorax organs at risk (OARs) for radiation therapy (RT) planning with FDA 510(k) clearance. The purpose of this study is to test the HI system to segment a commercially available retroprostatic hyaluronic acid spacer gel (RSG) and pelvic OARs in planning CT images for prostate cancer RT. HYPOTHESIS HI can achieve clinically acceptable auto segmentation for tissue-equivalent RSG in this domain. MATERIALS/METHODS RSG is injected in the peri-rectal space in men with prostate cancer prior to RT to minimize rectal toxicity. 190 patients with prostate cancer were included in this post-hoc image analysis from a multi-center, prospective, randomized trial, with 136 in the spacer arm. The HI system has 3 steps: rough recognition from fuzzy model (FM) based automatic anatomy recognition (AAR-R), deep learning-based recognition (DL-R) refinement, and deep learning-based delineation (DL-D) to contour objects guided by the recognition results. FM encodes high level 3D anatomy knowledge of object shape and its relationship with other OARs; DL-R and DL-D focus on pixel-level details. The 190 studies are divided into disjoint training (100) and testing (90) subsets. 100 samples are used in DL-R and DL-D training, with 45 to build the FM for AAR-R. RSG and 4 other OARs (pelvic skin, prostate, bladder, rectum) are contoured. Location error (LE) is used to evaluate recognition; Dice coefficient (DC) and Hausdorff distance (HD) are employed to evaluate delineation. Acceptability scores (AS) (range 1-5, 1 for poor quality, 5 for best quality) from an observer study are recorded for HI-output and ground truth masks of RSG for assessing segmentation quality. RESULTS The HI system achieves highest DC (0.94±0.07) and lowest HD (1.96±1.61 mm) for bladder, for rectum and prostate similar DC (0.82±0.08) and HD (2.62±1.65mm), for RSG, the most challenging object, a good DC close to 0.7 (0.67±0.10) and excellent HD (2.66±1.44mm). AS for auto-segmentations (3.86±0.85) were significantly better than those for ground truth segmentations (3.45±1.00) (p = 0.02, paired t-test). Table 1 summarizes results. CONCLUSION The HI system achieves clinically acceptable segmentations for pelvic OARs and significantly better acceptability of segmentation of RSG compared to clinically performed ground truth segmentations. This has implications in improving efficiency and accuracy of CT-based RT planning in patients with prostate cancer.
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Affiliation(s)
- Y Tong
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | - J K Udupa
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | - D Odhner
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | - T Liu
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | - C Jin
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | - N K Taunk
- Hospital of the University of Pennsylvania, Philadelphia, PA; Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | | | | | | | - M Svatos
- Palette Life Sciences, Santa Barbara, CA
| | - D A Torigian
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, PA
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13
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Wehbe H, Obaitan I, Al-Haddad MA, Tong Y, Mahendraker N, DeWitt JM, Bick B, Fogel E, Zyromski N, Gutta A, Sherman S, Watkins J, Gromski M, Saleem N, Easler JJ. Profile of and risk factors for early unplanned readmissions in patients with acute necrotizing pancreatitis. Pancreatology 2023; 23:465-472. [PMID: 37330391 DOI: 10.1016/j.pan.2023.05.014] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 05/04/2023] [Accepted: 05/28/2023] [Indexed: 06/19/2023]
Abstract
INTRODUCTION Acute necrotizing pancreatitis (ANP) complicates up to 15% of acute pancreatitis cases. ANP has historically been associated with a significant risk for readmission, but there are currently no studies exploring factors that associate with risk for unplanned, early (<30-day) readmissions in this patient population. METHODS We performed a retrospective review of all consecutive patients presenting to hospitals in the Indiana University (IU) Health system with pancreatic necrosis between December 2016 and June 2020. Patients younger than 18 years of age, without confirmed pancreatic necrosis and those that suffered in-hospital mortality were excluded. Logistic regression was performed to identify potential predictors of early readmission in this group of patients. RESULTS One hundred and sixty-two patients met study criteria. 27.7% of the cohort was readmitted within 30-days of index discharge. The median time to readmission was 10 days (IQR 5-17 days). The most frequent reason for readmission was abdominal pain (75.6%), followed by nausea and vomiting in (35.6%). Discharge to home was associated with 93% lower odds of readmission. We found no additional clinical factors that predicted early readmission. CONCLUSION Patients with ANP have a significant risk for early (<30 days) readmission. Direct discharge to home, rather than short or long-term rehabilitation facilities, is associated with lower odds of early readmission. Analysis was otherwise negative for independent, clinical predictors of early unplanned readmissions in ANP.
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Affiliation(s)
- H Wehbe
- Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - I Obaitan
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - M A Al-Haddad
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Y Tong
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - N Mahendraker
- Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - J M DeWitt
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - B Bick
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - E Fogel
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - N Zyromski
- Department of Surgery, Indiana University School of Medicine, Indianapolis, IN, USA
| | - A Gutta
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - S Sherman
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - J Watkins
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - M Gromski
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - N Saleem
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - J J Easler
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, USA.
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Zhang Y, Li Z, Liu J, Zhang Y, Ye L, Peng Y, Wang H, Diao H, Ma Y, Wang M, Xie Y, Tang T, Zhuang Y, Teng W, Tong Y, Zhang W, Lang Z, Xue Y, Zhang Y. Author Correction: Transposable elements orchestrate subgenome-convergent and -divergent transcription in common wheat. Nat Commun 2023; 14:3014. [PMID: 37230998 DOI: 10.1038/s41467-023-38754-5] [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: 05/27/2023] Open
Affiliation(s)
- Yuyun Zhang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Zijuan Li
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Jinyi Liu
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Yu'e Zhang
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, the Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Luhuan Ye
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Yuan Peng
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- Shanghai Center for Plant Stress Biology, National Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Haoyu Wang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- Henan University, School of Life Science, Kaifeng, Henan, 457000, China
| | - Huishan Diao
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Yu Ma
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- Shanghai Center for Plant Stress Biology, National Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Meiyue Wang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Yilin Xie
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Tengfei Tang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- Henan University, School of Life Science, Kaifeng, Henan, 457000, China
| | - Yili Zhuang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Wan Teng
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, the Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yiping Tong
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, the Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Wenli Zhang
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, No.1 Weigang, Nanjing, Jiangsu, 210095, China
| | - Zhaobo Lang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China.
- University of the Chinese Academy of Sciences, Beijing, 100049, China.
- Shanghai Center for Plant Stress Biology, National Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China.
- Institute of Advanced Biotechnology and School of Life Sciences, Southern University of Science and Technology, Shenzhen, 518055, China.
| | - Yongbiao Xue
- University of the Chinese Academy of Sciences, Beijing, 100049, China.
- The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, the Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute of Genomics, Chinese Academy of Sciences, and National Centre for Bioinformation, Beijing, 100101, China.
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, 225009, China.
| | - Yijing Zhang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China.
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15
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Xiong Y, Xu N, Huang J, Wang J, Wang Z, Jiang H, Tong Y, Yin J, Gong Y, Jiang Q, Zhou Y. [Optimization of the medium and fermentation condition for the Penicillium aurantiocandidum Z12 strain with molluscicidal actions against Oncomelania hupensis]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:137-146. [PMID: 37253562 DOI: 10.16250/j.32.1374.2023017] [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] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
OBJECTIVE To optimize the culture and fermentation conditions of the Penicillium aurantiocandidum Z12 strain, a fungal strain with molluscicidal actions against Oncomelania hupensis, so as to provide the basis for the research and development of molluscicidal active substances from the P. aurantiocandidum Z12 strain and its fermentation broth and large-scale fermentation. METHODS The carbon source, nitrogen source and mineral salts were identified in the optimal culture medium for the P. aurantiocandidum Z12 strain with a single-factor experiment to determine the best fermentation condition for the P. aurantiocandidum Z12 strain. Factors that significantly affected the growth of the P. aurantiocandidum Z12 strain were identified using the Plackett-Burman design, and the best range of each factor was determined using the steepest climb test. Response surface analyses of temperature, pH value, seeding amount and liquid-filling quantity were performed using the Box-Behnken design to create a regression model for fermentation of the P. aurantiocandidum Z12 strain to identify the optimal culture medium. RESULTS Single-factor experiment preliminarily identified the best culture medium and conditions for the P. aurantiocandidum Z12 strain as follows: sucrose as the carbon source at approximately 20 g/L, tryptone as the nitrogen source at approximately 5 g/L, K2HPO4 as the mineral salt at approximately 5 g/L, initial pH at approximately 8, temperature at approximately 28 °C, seeding amount at approximately 6%, and liquid-filling quantity at approximately 50 mL/100 mL. Plackett-Burman design showed that factors that significantly affected the growth of the P. aurantiocandidum Z12 strain included temperature (t = -5.28, P < 0.05), seeding amount (t = 5.22, P < 0.05), pH (t = -4.30, P < 0.05) and liquid-filling quantity (t = -4.39, P < 0.05). Steepest climb test showed the highest mycelial growth at pH of 7.5, seeding amount of 8%, and liquid-filling quantity of 40 mL/100 mL, and this condition was selected as the central point of response surface analysis for the subsequent optimization of fermentation conditions. Response surface analyses using the Box-Behnken design showed that the optimal conditions for fermentation of the P. aurantiocandidum Z12 strain included sucrose at 15 g/L, tryptone at 5 g/L, K2HPO4 at 5 g/L, temperature at 28.2 °C, pH at 7.5, seeding amount at 10%, and liquid-filling quantity at 35.8 mL/100.0 mL, resulting in 0.132 g yield of the P. aurantiocandidum Z12 strain. CONCLUSIONS The optimal culture condition for the P. aurantiocandidum Z12 strain has been identified, and the optimized culture medium and fermentation condition may effectively improve the fermentation yield of the P. aurantiocandidum Z12 strain.
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Affiliation(s)
- Y Xiong
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - N Xu
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Huang
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Wang
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Z Wang
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - H Jiang
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Y Tong
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Yin
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Y Gong
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Q Jiang
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Y Zhou
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
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16
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Ma F, Xu Y, Wang R, Tong Y, Zhang A, Liu D, An D. Identification of major QTLs for yield-related traits with improved genetic map in wheat. Front Plant Sci 2023; 14:1138696. [PMID: 37008504 PMCID: PMC10063875 DOI: 10.3389/fpls.2023.1138696] [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] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 03/08/2023] [Indexed: 06/19/2023]
Abstract
INTRODUCTION Identification of stable major quantitative trait loci (QTLs) for yield-related traits is important for yield potential improvement in wheat breeding. METHODS In the present study, we genotyped a recombinant inbred line (RIL) population using the Wheat 660K SNP array and constructed a high-density genetic map. The genetic map showed high collinearity with the wheat genome assembly. Fourteen yield-related traits were evaluated in six environments for QTL analysis. RESULTS AND DISCUSSION A total of 12 environmentally stable QTLs were identified in at least three environments, explaining up to 34.7% of the phenotypic variation. Of these, QTkw-1B.2 for thousand kernel weight (TKW), QPh-2D.1 (QSl-2D.2/QScn-2D.1) for plant height (PH), spike length (SL) and spikelet compactness (SCN), QPh-4B.1 for PH, and QTss-7A.3 for total spikelet number per spike (TSS) were detected in at least five environments. A set of Kompetitive Allele Specific PCR (KASP) markers were converted based on the above QTLs and used to genotype a diversity panel comprising of 190 wheat accessions across four growing seasons. QPh-2D.1 (QSl-2D.2/QScn-2D.1), QPh-4B.1 and QTss-7A.3 were successfully validated. Compared with previous studies, QTkw-1B.2 and QPh-4B.1 should be novel QTLs. These results provided a solid foundation for further positional cloning and marker-assisted selection of the targeted QTLs in wheat breeding programs.
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Affiliation(s)
- Feifei Ma
- Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, China
| | - Yunfeng Xu
- Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, China
| | - Ruifang Wang
- Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, China
| | - Yiping Tong
- State Key Laboratory of Plant Cell and Chromosome Engineering, National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Aimin Zhang
- State Key Laboratory of North China Crop Improvement and Regulation, College of Agronomy, Hebei Agricultural University, Baoding, Hebei, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Dongcheng Liu
- State Key Laboratory of North China Crop Improvement and Regulation, College of Agronomy, Hebei Agricultural University, Baoding, Hebei, China
| | - Diaoguo An
- Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, China
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O’Neill A, Seidman J, Cavagnero K, Li F, Nakatsuji T, Cheng J, Tong Y, Do T, Cau L, Hata T, Modlin R, Gallo R. 349 Functional screening of Cutibacterium acnes isolates reveal determinants of skin inflammation. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.09.362] [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: 11/19/2022]
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18
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Tong Y, Orang’o E, Nakalembe M, Tonui P, Itsura P, Muthoka K, Titus M, Kiptoo S, Mwangi A, Ong’echa J, Tonui R, Odongo B, Mpamani C, Rosen B, Moormann A, Cu-Uvin S, Bailey JA, Oduor CI, Ermel A, Yiannoutsos C, Musick B, Sang E, Ngeresa A, Banturaki G, Kiragga A, Zhang J, Song Y, Chintala S, Katzenellenbogen R, Loehrer P, Brown DR. The East Africa Consortium for human papillomavirus and cervical cancer in women living with HIV/AIDS. Ann Med 2022; 54:1202-1211. [PMID: 35521812 PMCID: PMC9090376 DOI: 10.1080/07853890.2022.2067897] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 04/06/2022] [Accepted: 04/15/2022] [Indexed: 12/24/2022] Open
Abstract
The East Africa Consortium was formed to study the epidemiology of human papillomavirus (HPV) infections and cervical cancer and the influence of human immunodeficiency virus (HIV) infection on HPV and cervical cancer, and to encourage collaborations between researchers in North America and East African countries. To date, studies have led to a better understanding of the influence of HIV infection on the detection and persistence of oncogenic HPV, the effects of dietary aflatoxin on the persistence of HPV, the benefits of antiretroviral therapy on HPV persistence, and the differences in HPV detections among HIV-infected and HIV-uninfected women undergoing treatment for cervical dysplasia by either cryotherapy or LEEP. It will now be determined how HPV testing fits into cervical cancer screening programs in Kenya and Uganda, how aflatoxin influences immunological control of HIV, how HPV alters certain genes involved in the growth of tumours in HIV-infected women. Although there have been challenges in performing this research, with time, this work should help to reduce the burden of cervical cancer and other cancers related to HIV infection in people living in sub-Saharan Africa, as well as optimized processes to better facilitate research as well as patient autonomy and safety. KEY MESSAGESThe East Africa Consortium was formed to study the epidemiology of human papillomavirus (HPV) infections and cervical cancer and the influence of human immunodeficiency virus (HIV) infection on HPV and cervical cancer.Collaborations have been established between researchers in North America and East African countries for these studies.Studies have led to a better understanding of the influence of HIV infection on the detection and persistence of oncogenic HPV, the effects of dietary aflatoxin on HPV detection, the benefits of antiretroviral therapy on HPV persistence, and the differences in HPV detections among HIV-infected and HIV-uninfected women undergoing treatment for cervical dysplasia by either cryotherapy or LEEP.
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Affiliation(s)
- Y. Tong
- Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - M. Nakalembe
- Infectious Diseases Institute, Makerere University, Kampala, Uganda
| | | | | | | | - M. Titus
- Maseno University, Kisumu, Kenya
| | | | | | - J. Ong’echa
- Kenya Medical Research Institute, Eldoret, Kenya
| | | | | | - C. Mpamani
- Infectious Diseases Institute, Makerere University, Kampala, Uganda
| | - B. Rosen
- Beaumont Gynecology Oncology, Royal Oak, MI, USA
| | - A. Moormann
- University of Massachusetts Chan Medical School, Worcester, MA, USA
| | | | | | | | - A. Ermel
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - C. Yiannoutsos
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - B. Musick
- Indiana University School of Medicine, Indianapolis, IN, USA
| | | | | | - G. Banturaki
- Infectious Diseases Institute, Makerere University, Kampala, Uganda
| | - A. Kiragga
- Infectious Diseases Institute, Makerere University, Kampala, Uganda
| | - J. Zhang
- Indiana University Fairbanks School of Public Health, Indianapolis, IN, USA
| | - Y. Song
- Indiana University Fairbanks School of Public Health, Indianapolis, IN, USA
| | - S. Chintala
- Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - P. Loehrer
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - D. R. Brown
- Indiana University School of Medicine, Indianapolis, IN, USA
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Zhou C, Hu R, Wang H, Ding Y, Yang B, Li Y, Yang S, Tong Y, Dong X, Yang Q, Zhang J. 587 Efficacy and Safety of topical KX-826 in Male Subjects with Androgenetic Alopecia:A Multicenter, Randomized, Double-blind, Placebo-controlled Phase II Study. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.09.603] [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: 11/19/2022]
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Pei H, Teng W, Gao L, Gao H, Ren X, Liu Y, Jia J, Tong Y, Wang Y, Lu Z. Low-affinity SPL binding sites contribute to subgenome expression divergence in allohexaploid wheat. Sci China Life Sci 2022; 66:819-834. [PMID: 36417050 DOI: 10.1007/s11427-022-2202-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 09/22/2022] [Indexed: 11/24/2022]
Abstract
Expression divergence caused by genetic variation and crosstalks among subgenomes of the allohexaploid bread wheat (Triticum aestivum. L., BBAADD) is hypothesized to increase its adaptability and/or plasticity. However, the molecular basis of expression divergence remains unclear. Squamosa promoter-binding protein-like (SPL) transcription factors are critical for a wide array of biological processes. In this study, we constructed expression regulatory networks by combining DAP-seq for 40 SPLs, ATAC-seq, and RNA-seq. Our findings indicate that a group of low-affinity SPL binding regions (SBRs) were targeted by diverse SPLs and caused different sequence preferences around the core GTAC motif. The SBRs including the low-affinity ones are evolutionarily conserved, enriched GWAS signals related to important agricultural traits. However, those SBRs are highly diversified among the cis-regulatory regions (CREs) of syntenic genes, with less than 8% SBRs coexisting in triad genes, suggesting that CRE variations are critical for subgenome differentiations. Knocking out of TaSPL7A/B/D and TaSPL15A/B/D subfamily further proved that both high- and low-affinity SBRs played critical roles in the differential expression of genes regulating tiller number and spike sizes. Our results have provided baseline data for downstream networks of SPLs and wheat improvements and revealed that CRE variations are critical sources for subgenome divergence in the allohexaploid wheat.
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Zhang Y, Li Z, Liu J, Zhang Y, Ye L, Peng Y, Wang H, Diao H, Ma Y, Wang M, Xie Y, Tang T, Zhuang Y, Teng W, Tong Y, Zhang W, Lang Z, Xue Y, Zhang Y. Transposable elements orchestrate subgenome-convergent and -divergent transcription in common wheat. Nat Commun 2022; 13:6940. [PMID: 36376315 PMCID: PMC9663577 DOI: 10.1038/s41467-022-34290-w] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 10/15/2022] [Indexed: 11/16/2022] Open
Abstract
The success of common wheat as a global staple crop was largely attributed to its genomic diversity and redundancy due to the merge of different genomes, giving rise to the major question how subgenome-divergent and -convergent transcription is mediated and harmonized in a single cell. Here, we create a catalog of genome-wide transcription factor-binding sites (TFBSs) to assemble a common wheat regulatory network on an unprecedented scale. A significant proportion of subgenome-divergent TFBSs are derived from differential expansions of particular transposable elements (TEs) in diploid progenitors, which contribute to subgenome-divergent transcription. Whereas subgenome-convergent transcription is associated with balanced TF binding at loci derived from TE expansions before diploid divergence. These TFBSs have retained in parallel during evolution of each diploid, despite extensive unbalanced turnover of the flanking TEs. Thus, the differential evolutionary selection of paleo- and neo-TEs contribute to subgenome-convergent and -divergent regulation in common wheat, highlighting the influence of TE repertory plasticity on transcriptional plasticity in polyploid.
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Affiliation(s)
- Yuyun Zhang
- grid.9227.e0000000119573309National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032 China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, 100049 China ,grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438 China
| | - Zijuan Li
- grid.9227.e0000000119573309National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032 China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, 100049 China ,grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438 China
| | - Jinyi Liu
- grid.9227.e0000000119573309National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032 China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, 100049 China
| | - Yu’e Zhang
- grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, 100049 China ,grid.9227.e0000000119573309The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, the Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101 China
| | - Luhuan Ye
- grid.9227.e0000000119573309National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032 China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, 100049 China
| | - Yuan Peng
- grid.9227.e0000000119573309National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032 China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, 100049 China ,grid.9227.e0000000119573309Shanghai Center for Plant Stress Biology, National Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032 China
| | - Haoyu Wang
- grid.9227.e0000000119573309National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032 China ,grid.256922.80000 0000 9139 560XHenan University, School of Life Science, Kaifeng, Henan 457000 China
| | - Huishan Diao
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438 China
| | - Yu Ma
- grid.9227.e0000000119573309National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032 China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, 100049 China ,grid.9227.e0000000119573309Shanghai Center for Plant Stress Biology, National Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032 China
| | - Meiyue Wang
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438 China
| | - Yilin Xie
- grid.9227.e0000000119573309National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032 China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, 100049 China
| | - Tengfei Tang
- grid.9227.e0000000119573309National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032 China ,grid.256922.80000 0000 9139 560XHenan University, School of Life Science, Kaifeng, Henan 457000 China
| | - Yili Zhuang
- grid.9227.e0000000119573309National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032 China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, 100049 China
| | - Wan Teng
- grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, 100049 China ,grid.9227.e0000000119573309The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, the Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101 China
| | - Yiping Tong
- grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, 100049 China ,grid.9227.e0000000119573309The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, the Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101 China
| | - Wenli Zhang
- grid.27871.3b0000 0000 9750 7019State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, No.1 Weigang, Nanjing, Jiangsu 210095 China
| | - Zhaobo Lang
- grid.9227.e0000000119573309National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032 China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, 100049 China ,grid.9227.e0000000119573309Shanghai Center for Plant Stress Biology, National Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032 China ,grid.263817.90000 0004 1773 1790Institute of Advanced Biotechnology and School of Life Sciences, Southern University of Science and Technology, Shenzhen, 518055 China
| | - Yongbiao Xue
- grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, 100049 China ,grid.9227.e0000000119573309The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, the Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101 China ,grid.9227.e0000000119573309Beijing Institute of Genomics, Chinese Academy of Sciences, and National Centre for Bioinformation, Beijing, 100101 China ,grid.268415.cJiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, 225009 China
| | - Yijing Zhang
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438 China
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22
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Tong Y, Alsalama M, Berdiyorov GR, Hamoudi H. A combined experimental and computational study of the effect of electron irradiation on the transport properties of aromatic and aliphatic molecular self-assemblies. Nanoscale Adv 2022; 4:3745-3755. [PMID: 36133338 PMCID: PMC9470021 DOI: 10.1039/d2na00040g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 07/13/2022] [Indexed: 06/16/2023]
Abstract
Intermolecular cross-linking through electron irradiation is proven to be an effective tool to improve the mechanical and electronic properties of molecular self-assembled monolayers (SAMs), which is known to be a key player for material nanoarchitectonics. Here we study the effect of electron irradiation on the electronic transport properties of aromatic 5,5'-bis(mercaptomethyl)-2,2'-bipyridine (BPD; HS-CH2-(C5H3N)2-CH2-SH) and electron saturated 1-dodecanethiol (C12; CH3-(CH2)11-SH) molecules self-assembled on an Au (111) surface. We could not create any successful junctions for transport measurements for the electron irradiated C12 SAMs due the deterioration of such molecules with electron saturated nature. For the aromatic molecules, the electron bombardment results in significant reduction of the current despite the electron irradiation-induced intermolecular cross-linking, which should create extra transport channels for charge carriers. The current rectification also reduces after the electron bombardment. In order to interpret the experimental results and give right diagnostics behind the decrease of the current through the junction after electron irradiation, we supplement the experiment with quantum transport calculations using Green's functional formalism in combination with density functional theory. The simulation results show that the reduced current after electron irradiation can be related to the detachment of the molecules from the gold substrate and reattachment to other molecules. The formation of diamond-like structures due to intermolecular-cross linking can also be the reason for the reduced current obtained in the experiments. We have also considered the case when the BPD molecules get broken-conjugated due to the attachment of extra hydrogen atoms to the carbon backbone of the molecule. This structural modification also results in a significant decrease of the current. These findings can be useful in understanding the processes during the electron irradiation of molecular SAMs.
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Affiliation(s)
- Y Tong
- Qatar Environment and Energy Research Institute, Hamad Bin Khalifa University Doha Qatar
| | - M Alsalama
- Qatar Environment and Energy Research Institute, Hamad Bin Khalifa University Doha Qatar
| | - G R Berdiyorov
- Qatar Environment and Energy Research Institute, Hamad Bin Khalifa University Doha Qatar
| | - H Hamoudi
- Qatar Environment and Energy Research Institute, Hamad Bin Khalifa University Doha Qatar
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23
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Wang Y, Li P, Yang R, Wang D, Wang L, Wang S, Liu C, Li J, Liu C, Tong Y, Zhang Y, Meng F, Du P, Li L. EP01.01-012 Clinical and Molecular Features of Chinese Early-stage Multiple Primary Lung Cancer Patients. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.274] [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: 11/26/2022]
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24
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Zhao F, Tian S, Wu Q, Li Z, Ye L, Zhuang Y, Wang M, Xie Y, Zou S, Teng W, Tong Y, Tang D, Mahato AK, Benhamed M, Liu Z, Zhang Y. Utility of Triti-Map for bulk-segregated mapping of causal genes and regulatory elements in Triticeae. Plant Commun 2022; 3:100304. [PMID: 35605195 PMCID: PMC9284283 DOI: 10.1016/j.xplc.2022.100304] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 01/13/2022] [Accepted: 02/13/2022] [Indexed: 06/15/2023]
Abstract
Triticeae species, including wheat, barley, and rye, are critical for global food security. Mapping agronomically important genes is crucial for elucidating molecular mechanisms and improving crops. However, Triticeae includes many wild relatives with desirable agronomic traits, and frequent introgressions occurred during Triticeae evolution and domestication. Thus, Triticeae genomes are generally large and complex, making the localization of genes or functional elements that control agronomic traits challenging. Here, we developed Triti-Map, which contains a suite of user-friendly computational packages specifically designed and optimized to overcome the obstacles of gene mapping in Triticeae, as well as a web interface integrating multi-omics data from Triticeae for the efficient mining of genes or functional elements that control particular traits. The Triti-Map pipeline accepts both DNA and RNA bulk-segregated sequencing data as well as traditional QTL data as inputs for locating genes and elucidating their functions. We illustrate the usage of Triti-Map with a combination of bulk-segregated ChIP-seq data to detect a wheat disease-resistance gene with its promoter sequence that is absent from the reference genome and clarify its evolutionary process. We hope that Triti-Map will facilitate gene isolation and accelerate Triticeae breeding.
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Affiliation(s)
- Fei Zhao
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Shilong Tian
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Qiuhong Wu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Zijuan Li
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Luhuan Ye
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Yili Zhuang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Meiyue Wang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Yilin Xie
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Shenghao Zou
- State Key Laboratory of Ecological Control of Fujian-Taiwan Crop Pests, Fujian Agriculture and Forestry University, Fuzhou 350002 China; Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Plant Immunity Center, Fujian Agriculture and Forestry University, Fuzhou 350002 China
| | - Wan Teng
- University of the Chinese Academy of Sciences, Beijing 100049, China; State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Yiping Tong
- University of the Chinese Academy of Sciences, Beijing 100049, China; State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Dingzhong Tang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China; State Key Laboratory of Ecological Control of Fujian-Taiwan Crop Pests, Fujian Agriculture and Forestry University, Fuzhou 350002 China; Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Plant Immunity Center, Fujian Agriculture and Forestry University, Fuzhou 350002 China
| | - Ajay Kumar Mahato
- Laboratory of Genome Informatics (LGI) In-charge Bioinformatics Wing-A, First Floor Center for DNA Fingerprinting and Diagnostics Inner Ring Road, Uppal, Hyderabad 500039, India
| | - Moussa Benhamed
- Institute of Plant Sciences Paris-Saclay (IPS2), Université Paris-Saclay, CNRS, INRAE, Univ Evry, Orsay 91405, France
| | - Zhiyong Liu
- University of the Chinese Academy of Sciences, Beijing 100049, China; State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China.
| | - Yijing Zhang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai 200438, China.
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25
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Fan H, Liu K, Hong B, He S, Han P, Li M, Wang S, Tong Y. [Progress in the study of antiviral activity of cepharanthine against SARS-CoV-2]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:955-956. [PMID: 35790449 DOI: 10.12122/j.issn.1673-4254.2022.06.22] [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: 11/24/2022]
Abstract
As a member of the dibenzyl isoquinoline alkaloid family, cepharathine is an alkaloid from the traditional Chinese medicine cepharathine, which is mainly used for treatment of leukopenia and other diseases. Recent studies of the inhibitory effect of cepharathine against SARS-CoV-2 have attracted widespread attention and aroused heated discussion. As the original discoverer of the anti-SARS-CoV-2 activity of cepharanthine, here we briefly summarize the discovery of cepharanthine and review important progress in relevant studies concerning the discovery and validation of anti-SARS-CoV-2 activity of cepharathine, its antiviral mechanisms and clinical trials of its applications in COVID-19 therapy.
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Affiliation(s)
- H Fan
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - K Liu
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - B Hong
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - S He
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - P Han
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - M Li
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - S Wang
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - Y Tong
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.,Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
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26
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Tong Y, Kong YY, Bian H, Zheng JZ, Wu YJ, Zhang Y. [Survival and disease burden trend analysis of occupational pneumoconiosis from 1963 to 2020 in Shizuishan City]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2022; 40:341-347. [PMID: 35680576 DOI: 10.3760/cma.j.cn121094-20210906-00439] [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] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To understand the survival status and its influencing factors of occupational pneumoconiosis patients in Shizuishan City, and to analyze the disease burden of occupational pneumoconiosis and its trend, so as to provide scientific basis for formulating comprehensive prevention and treatment measures of occupational pneumoconiosis. Methods: A retrospective survey was conducted during July to December 2020 to explore the survival status of occupational pneumoconiosis patients who had been reported from 1963 to 2020 in Shizuishan City. The Kaplan-Meier method and Life-table method were used for survival analysis, and Cox proportional hazards regression model was used to analyze the influencing factors of survival time. The disability adjusted life years (DALY) was applied to analyze the disease burden of occupational pneumoconiosis and its temporal trend. Results: From 1963 to 2020, a total of 3263 cases of occupational pneumoconiosis were reported in Shizuishan City, of which 1467 died, so that the fatality rate was 44.96%. The median survival time was 26.71 years, average age of death was (70.55±10.92) years old. There were significant differences in the survival rates of occupational pneumoconiosis patients among different types, diagnosis age, exposure time, industry, initial diagnosis stage and whether upgraded (P<0.05) . As the survival time increased, the survival rate of patients decreased gradually. When the survival time was ≥50 years, the cumulative survival rate of patients was 4.20%. Cox regression analysis suggested that the type of pneumoconiosis, industry, diagnosis age, exposure time, initial diagnosis stage and whether upgraded were the influencing factors for the survival time of patients with occupational pneumoconiosis (P<0.05) . The total DALY attributable to occupational pneumoconiosis from 1963 to 2020 in Shizuishan City was 48026.65 person years, of which the years of life lost (YLL) was 15155.39 person years, and the average YLL was 10.33 years/person, and the years lost due to disability (YLD) was 32871.26 person years, and the average YLD was 10.07 years/person. The DALY attributed to coal worker's pneumoconiosis and silicosis were 39408.51 person years and 6565.02 person years, respectively, and they accounted for 82.06% and 13.67% of the total disease burden in Shizuishan City, respectively. The DALY caused by occupational pneumoconiosis in the age group of 40-49 years old and the first diagnosis of stage I occupational pneumoconiosis were higher, which were 20899.71 and 36231.97 person years, respectively. The average YLL and average YLD showed a volatility downtrend over time. Conclusion: The disease burden of occupational pneumoconiosis cannot be ignored in Shizuishan City, and timely targeted measures should be taken for key populations and key industries. It is recommended that life-cycle health management and hierarchical medical should be taken to improve the life quality of patients and prolong their lifes.
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Affiliation(s)
- Y Tong
- School of Public Health, Shanxi Medical University, Taiyuan 030000, China Shizuishan City Center for Disease Control and Prevention, Shizuishan 753000, China
| | - Y Y Kong
- Shizuishan City Center for Disease Control and Prevention, Shizuishan 753000, China
| | - H Bian
- Shizuishan City Center for Disease Control and Prevention, Shizuishan 753000, China
| | - J Z Zheng
- School of Public Health, Shanxi Medical University, Taiyuan 030000, China
| | - Y J Wu
- Shizuishan City Center for Disease Control and Prevention, Shizuishan 753000, China
| | - Y Zhang
- Shizuishan City Center for Disease Control and Prevention, Shizuishan 753000, China
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27
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Bühning F, Miguel Telega L, Tong Y, Pereira J, Coenen V, Döbrössy M. Electrophysiological and molecular effects of bilateral deep brain stimulation of the medial forebrain bundle in a rodent model of depression. Exp Neurol 2022; 355:114122. [DOI: 10.1016/j.expneurol.2022.114122] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 05/10/2022] [Accepted: 05/18/2022] [Indexed: 11/04/2022]
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28
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Teng W, He X, Tong Y. Genetic Control of Efficient Nitrogen Use for High Yield and Grain Protein Concentration in Wheat: A Review. Plants (Basel) 2022; 11:plants11040492. [PMID: 35214826 PMCID: PMC8878021 DOI: 10.3390/plants11040492] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 01/29/2022] [Accepted: 02/04/2022] [Indexed: 05/12/2023]
Abstract
The increasing global population and the negative effects of nitrogen (N) fertilizers on the environment challenge wheat breeding to maximize yield potential and grain protein concentration (GPC) in an economically and environmentally friendly manner. Understanding the molecular mechanisms for the response of yield components to N availability and assimilates allocation to grains provides the opportunity to increase wheat yield and GPC simultaneously. This review summarized quantitative trait loci/genes which can increase spikes and grain number by enhancing N uptake and assimilation at relative early growth stage, and 1000-grain weight and GPC by increasing post-anthesis N uptake and N allocation to grains.
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Affiliation(s)
- Wan Teng
- The State Key Laboratory for Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; (W.T.); (X.H.)
| | - Xue He
- The State Key Laboratory for Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; (W.T.); (X.H.)
| | - Yiping Tong
- The State Key Laboratory for Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; (W.T.); (X.H.)
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
- Correspondence: ; Tel.: +86-10-64806556
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29
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Li X, Li W, Dai X, Li W, Zhang J, Wang Z, Tong Y, Chen Y, Zhang L, Song C, Meng Q, Wei M, Liu Z, Lu Q. Thoracic Endovascular Repair for Aortic Arch Pathologies with Surgeon Modified Fenestrated Stent Grafts: A Multicentre Retrospective Study. J Vasc Surg 2021. [DOI: 10.1016/j.jvs.2021.10.011] [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: 10/19/2022]
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30
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Zhang Y, Li Z, Zhang Y, Lin K, Peng Y, Ye L, Zhuang Y, Wang M, Xie Y, Guo J, Teng W, Tong Y, Zhang W, Xue Y, Lang Z, Zhang Y. Evolutionary rewiring of the wheat transcriptional regulatory network by lineage-specific transposable elements. Genome Res 2021; 31:2276-2289. [PMID: 34503979 PMCID: PMC8647832 DOI: 10.1101/gr.275658.121] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 09/01/2021] [Indexed: 01/03/2023]
Abstract
More than 80% of the wheat genome consists of transposable elements (TEs), which act as major drivers of wheat genome evolution. However, their contributions to the regulatory evolution of wheat adaptations remain largely unclear. Here, we created genome-binding maps for 53 transcription factors (TFs) underlying environmental responses by leveraging DAP-seq in Triticum urartu, together with epigenomic profiles. Most TF binding sites (TFBSs) located distally from genes are embedded in TEs, whose functional relevance is supported by purifying selection and active epigenomic features. About 24% of the non-TE TFBSs share significantly high sequence similarity with TE-embedded TFBSs. These non-TE TFBSs have almost no homologous sequences in non-Triticeae species and are potentially derived from Triticeae-specific TEs. The expansion of TE-derived TFBS linked to wheat-specific gene responses, suggesting TEs are an important driving force for regulatory innovations. Altogether, TEs have been significantly and continuously shaping regulatory networks related to wheat genome evolution and adaptation.
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Affiliation(s)
- Yuyun Zhang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Zijuan Li
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Yu'e Zhang
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, the Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Kande Lin
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Collaborative Innovation Center for Modern Crop Production co-sponsored by Province and Ministry (CIC-MCP), Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Yuan Peng
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- Shanghai Center for Plant Stress Biology, National Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
| | - Luhuan Ye
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Yili Zhuang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Meiyue Wang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Yilin Xie
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Jingyu Guo
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
- Henan University, School of Life Science, Kaifeng, Henan 457000, China
| | - Wan Teng
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, the Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Yiping Tong
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, the Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Wenli Zhang
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Collaborative Innovation Center for Modern Crop Production co-sponsored by Province and Ministry (CIC-MCP), Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Yongbiao Xue
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, the Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
- Beijing Institute of Genomics, Chinese Academy of Sciences, and National Centre for Bioinformation, Beijing 100101 China
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China
| | - Zhaobo Lang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- Shanghai Center for Plant Stress Biology, National Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
| | - Yijing Zhang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai 200438, China
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31
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Zhong L, Hu Y, Zhao J, Tong Y. Influence of periodontal repair on the quality of prosthodontics and postoperative adverse events. Am J Transl Res 2021; 13:9687-9693. [PMID: 34540096 PMCID: PMC8430199] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 01/27/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVE To investigate the influence of periodontal repair on the oral cavity and postoperative adverse events. METHODS From June 2017 to June 2019, 96 patients with prosthodontics were selected as the research participants. According to the intervention scheme, the patients were grouped into the observation group (OG, 51 cases with periodontal repair combined with prosthodontics) and the control group (CG, 45 cases with prosthodontics). The curative effect, repair quality, masticatory function, language function, adverse reactions, quality of life (QOL) and treatment satisfaction of the two groups were evaluated and compared. RESULTS The curative effect, repair quality, recovery of masticatory function and language function of patients in the OG were significantly better than those in the CG (P<0.05), and the incidence of adverse reactions in the OG was significantly lower than that in the CG (P<0.05). CONCLUSION Prosthodontics before periodontal repair can effectively improve the curative effect of prosthodontics, reduce the incidence of adverse reactions, improve patients' QOL, and improve patients' satisfaction, so it is worth popularizing in clinic.
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Affiliation(s)
- Linling Zhong
- Department of Stomatology, Zhuji People’s Hospital of Zhejiang ProvinceZhuji 311800, Zhejiang Province, China
| | - Yangtao Hu
- Department of Stomatology, Zhuji People’s Hospital of Zhejiang ProvinceZhuji 311800, Zhejiang Province, China
| | - Jiajia Zhao
- Department of Stomatology, Zhuji People’s Hospital of Zhejiang ProvinceZhuji 311800, Zhejiang Province, China
| | - Yiping Tong
- Department of Stomatology, The First Affiliated Hospital of Wenzhou Medical UniversityWenzhou 325015, Zhejiang Province, China
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Zhong H, Cheng S, Zhang X, Xu B, Chen J, Jiang X, Hu Y, Cui G, Wei J, Qian W, Huang X, Hou M, Yan F, Wang X, Song Y, Hu J, Liu Y, Ma X, Li F, Wu C, Chen J, Yu L, Bai O, Xu J, Zhu Z, Liu L, Zhou X, Huang L, Tong Y, Niu T, Wu D, Xiong J, Zhang H, Wang C, Ouyang B, Yi H, Cai G, Li B, Liu J, Li Z, Xiao R, Wang L, Jiang Y, Liu Y, Zheng X, Xu P, Huang H, Wang L, Chen S, Zhao W. ESA VERSUS MESA WITH SANDWICHED RADIOTHERAPY IN PATIENTS WITH EARLY‐STAGE NATURAL KILLER/T‐CELL LYMPHOMA: A MULTICENTRE, RANDOMISED, PHASE 3, NON‐INFERIORITY TRIAL. Hematol Oncol 2021. [DOI: 10.1002/hon.52_2879] [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: 02/05/2023]
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Wang M, Li Z, Zhang Y, Zhang Y, Xie Y, Ye L, Zhuang Y, Lin K, Zhao F, Guo J, Teng W, Zhang W, Tong Y, Xue Y, Zhang Y. An atlas of wheat epigenetic regulatory elements reveals subgenome divergence in the regulation of development and stress responses. Plant Cell 2021; 33:865-881. [PMID: 33594406 PMCID: PMC8226296 DOI: 10.1093/plcell/koab028] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 01/25/2021] [Indexed: 05/22/2023]
Abstract
Wheat (Triticum aestivum) has a large allohexaploid genome. Subgenome-divergent regulation contributed to genome plasticity and the domestication of polyploid wheat. However, the specificity encoded in the wheat genome determining subgenome-divergent spatio-temporal regulation has been largely unexplored. The considerable size and complexity of the genome are major obstacles to dissecting the regulatory specificity. Here, we compared the epigenomes and transcriptomes from a large set of samples under diverse developmental and environmental conditions. Thousands of distal epigenetic regulatory elements (distal-epiREs) were specifically linked to their target promoters with coordinated epigenomic changes. We revealed that subgenome-divergent activity of homologous regulatory elements is affected by specific epigenetic signatures. Subgenome-divergent epiRE regulation of tissue specificity is associated with dynamic modulation of H3K27me3 mediated by Polycomb complex and demethylases. Furthermore, quantitative epigenomic approaches detected key stress responsive cis- and trans-acting factors validated by DNA Affinity Purification and sequencing, and demonstrated the coordinated interplay between epiRE sequence contexts, epigenetic factors, and transcription factors in regulating subgenome divergent transcriptional responses to external changes. Together, this study provides a wealth of resources for elucidating the epiRE regulomics and subgenome-divergent regulation in hexaploid wheat, and gives new clues for interpreting genetic and epigenetic interplay in regulating the benefits of polyploid wheat.
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Affiliation(s)
| | | | | | | | - Yilin Xie
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Luhuan Ye
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Yili Zhuang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Kande Lin
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Fei Zhao
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Jingyu Guo
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
- Henan University, School of Life Science, Kaifeng, Henan 457000, China
| | - Wan Teng
- University of the Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, and The Innovation Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Wenli Zhang
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Yiping Tong
- University of the Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, and The Innovation Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
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Tong Y, Ishikawa K, Sasaki R, Takeshita I, Sakamoto J, Okita M. The effects of wheel-running using the upper limbs following immobilization after inducing arthritis in the knees of rats. Physiol Res 2021; 70:79-87. [PMID: 33453715 DOI: 10.33549/physiolres.934469] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
This study investigated the effects of wheel-running using the upper limbs following immobilization after inducing arthritis in the knees of rats. Forty male Wistar rats (aged 8 weeks) divided into four groups randomly: arthritis (AR), immobilization after arthritis (Im), wheel-running exercise with the upper limbs following immobilization after arthritis induction (Im+Ex) and sham arthritis induction (Con). The knee joints of the Im and Im+Ex groups were immobilized with a cast for 4 weeks. In the Im+Ex group, wheel-running exercise was administered for 60 min/day (5 times/week). The swelling and the pressure pain threshold (PPT) of the knee joint were evaluated for observing the condition of inflammatory symptoms in affected area, and the paw withdraw response (PWR) was evaluated for observing the condition of secondary hyperalgesia in distant area. Especially, in order to evaluate histological inflammation in the knee joint, the number of macrophage (CD68-positive cells) in the synovium was examined. The expression of calcitonin gene-related peptide (CGRP) in the spinal dorsal horn (L2-3 and L4-5) was examined to evaluate central sensitization. The Im+Ex group showed a significantly better recovery than the Im group in the swelling, PPTs, and PWRs. Additionally, CGRP expression of the spinal dorsal horn (L2-3 and L4-5) in the Im+Ex group was significantly decreased compared with the Im group. According to the results, upper limb exercise can decrease pain in the affected area, reduce hyperalgesia in distant areas, and suppress the central sensitization in the spinal dorsal horn by triggering exercise-induced hypoalgesia (EIH).
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Affiliation(s)
- Y Tong
- Department of Physical Therapy Science, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
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Shi J, Tong Y. TaLAMP1 Plays Key Roles in Plant Architecture and Yield Response to Nitrogen Fertilizer in Wheat. Front Plant Sci 2021; 11:598015. [PMID: 33505409 PMCID: PMC7832495 DOI: 10.3389/fpls.2020.598015] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Accepted: 12/01/2020] [Indexed: 05/24/2023]
Abstract
Understanding the molecular mechanisms in wheat response to nitrogen (N) fertilizer will help us to breed wheat varieties with improved yield and N use efficiency. Here, we cloned TaLAMP1-3A, -3B, and -3D, which were upregulated in roots and shoots of wheat by low N availability. In a hydroponic culture, lateral root length and N uptake were decreased in both overexpression and knockdown of TaLAMP1 at the seedling stage. In the field experiment with normal N supply, the grain yield of overexpression of TaLAMP1-3B is significantly reduced (14.5%), and the knockdown of TaLAMP1 was significantly reduced (15.5%). The grain number per spike of overexpression of TaLAMP1-3B was significantly increased (7.2%), but the spike number was significantly reduced (19.2%) compared with wild type (WT), although the grain number per spike of knockdown of TaLAMP1 was significantly decreased (15.3%), with no difference in the spike number compared with WT. Combined with the agronomic data from the field experiment of normal N and low N, both overexpression and knockdown of TaLAMP1 inhibited yield response to N fertilizer. Overexpressing TaLAMP1-3B greatly increased grain N concentration with no significant detrimental effect on grain yield under low N conditions; TaLAMP1-3 B is therefore valuable in engineering wheat for low input agriculture. These results suggested that TaLAMP1 is critical for wheat adaptation to N availability and in shaping plant architecture by regulating spike number per plant and grain number per spike. Optimizing TaLAMP1 expression may facilitate wheat breeding with improved yield, grain N concentration, and yield responses to N fertilizer.
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Affiliation(s)
- Ji Shi
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yiping Tong
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
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36
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Wei SH, Song HL, Tong Y. [The development history and prospect of neuro-ophthalmology in China]. Zhonghua Yan Ke Za Zhi 2020; 56:891-894. [PMID: 33342115 DOI: 10.3760/cma.j.cn112142-20200602-00369] [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
Neuro-ophthalmology is an interdisciplinary subspecialty that occupies an important position in ophthalmology. We review the development history and subspecialty construction of the neuro-ophthalmology in China, showing the achievements, providing reference for the clinical and scientific research of neuro-ophthalmology in the future, commemorating the predecessors and inspiring the contemporary neuro-ophthalmology profession to forge ahead. Congratulations on the 70th anniversary of the publication of the Chinese Journal of Ophthalmology.(Chin J Ophthalmol, 2020, 56:891-894).
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Affiliation(s)
- S H Wei
- Department of Ophthalmology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - H L Song
- Department of Ophthalmology, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Y Tong
- Department of Ophthalmology,the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China
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37
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Li S, Shen ZH, Wan LP, Bao AH, Yang J, Tong Y, Wang C. [Clinical study of 34 patients with cytomegalovirus pneumonia after allogeneic hematopoietic stem cell transplantation]. Zhonghua Xue Ye Xue Za Zhi 2020; 41:843-847. [PMID: 33190442 PMCID: PMC7656065 DOI: 10.3760/cma.j.issn.0253-2727.2020.10.009] [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] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Indexed: 11/29/2022]
Abstract
Objective: To analyze the clinical features and prognosis of cytomegalovirus pneumonia after allogeneic hematopoietic stem cell transplantation(allo-HSCT). Methods: We reviewed the clinical features and laboratory data of cytomegalovirus pneumonia patients after allogeneic peripheral blood HSCT from March 1, 2016 to June 30, 2019 at the hematology department of the Shanghai general hospital and analyze the prognostic factors. Results: Of the 411 allo-HSCT patients, 34(8.3%)developed CMV pneumonia after transplantation, including 18 men and 16 women, with a median age of 32(8-62)y. Total 14 patients had acute myeloid leukemia, 10 had acute lymphoblastic leukemia, 5 had myelodysplastic syndrome, 3 had non-Hodgkin's lymphoma, and 2 had aplastic anemia. The median onset time for CMV pneumonia was 53(36-506)d after transplantation. The main symptoms were cough(26 cases, 76.5%), fever(23 cases, 67.6%), and shortness of breath(14 cases, 41.2%). Only 17.6%(6/34)patients had expectoration, and 2 cases(5.9%)had no obvious symptoms in the early stage, but were diagnosed on routine chest CT examination. Twenty-eight(82.4%)patients showed signs of typical interstitial pneumonia, such as lobular central nodule and diffuse ground glass opacity; 6(17.6%)patients showed atypical imaging changes of patch, nodule, and consolidation. Further, 26 patients(76.5%)were positive for CMV-DNA, and the copy number was lower than that of BALF[1.70×10(7)(5.44×10(5)-4.45×10(9))copies/L vs 1.45×10(8)(1.10×10(7)-1.10×10(11))copies/L, P=0.004]. Thirteen(38.24%)patients with CMV pneumonia had mixed infection with other lower respiratory tract pathogens(10 strains of fungi, 6 strains of bacteria, and 1 of adenoviruses). The median follow-up duration was 12.8(0.4-46.5)months. The OS rate was 58.82%. Age ≥ 40 y and high flow ventilation were independent risk factors for poor prognosis in CMV pneumonia patients(P=0.049, P=0.009). Conclusion: Bronchoscopic bronchoalveolar lavage fluid detection helps in improving the accuracy of the etiological diagnosis of CMV pneumonia after allo-HSCT. Age ≥ 40 y and high flow ventilation were independent risk factors for poor prognosis in patients with CMV pneumonia.
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Affiliation(s)
- S Li
- Nanjin Medical University, Nanjing 211166, China; Department of Hematology, Shanghai General Hospital, Shanghai 200080, China
| | - Z H Shen
- Department of Hematology, Shanghai General Hospital, Shanghai 200080, China
| | - L P Wan
- Department of Hematology, Shanghai General Hospital, Shanghai 200080, China
| | - A H Bao
- Department of Hematology, Shanghai General Hospital, Shanghai 200080, China
| | - J Yang
- Department of Hematology, Shanghai General Hospital, Shanghai 200080, China
| | - Y Tong
- Department of Hematology, Shanghai General Hospital, Shanghai 200080, China
| | - C Wang
- Department of Hematology, Shanghai General Hospital, Shanghai 200080, China
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Wang J, Yu L, Wu SS, Li J, Xiao X, Gao D, Tong Y. [Interpretation for the group standards in guidelines for personal protection against coronavirus disease 2019 for diseases control person]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:1192-1194. [PMID: 32867423 DOI: 10.3760/cma.j.cn112338-20200514-00723] [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
As an emerging infectious disease, the COVID-19 threatened the safety of personnel in the prevention and control during the COVID-19 pandemic. Beijing Association of Preventive Medicine organizes the Beijing CDC and other organizations drafted the group standard entitled "Guidelines for personal protection against coronavirus disease 2019 for diseases control person (T/BPMA 0002-2020)" , according to years of scientific research on personal protection. Based on the principles of emphasizing the scientific, normative and safe nature, the standard was drafted to put forward the reasonable selection and correct use of personal protective equipment for disease control personnel, as well as the procedures for personal protective equipment. The standard provided a standardized basis for ensuring the safety of disease control personnel in contacting and handling of the new coronary pneumonia outbreaks with high risks.
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Affiliation(s)
- J Wang
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine Research, Beijing 100013, China
| | - L Yu
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine Research, Beijing 100013, China
| | - S S Wu
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine Research, Beijing 100013, China
| | - J Li
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine Research, Beijing 100013, China
| | - X Xiao
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine Research, Beijing 100013, China
| | - D Gao
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine Research, Beijing 100013, China
| | - Y Tong
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine Research, Beijing 100013, China
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39
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Li YY, Xu K, Zhao MS, Tong Y, Su KK, Wang MS. [Gene analysis of a family with hereditary coagulation factor XI deficiency]. Zhonghua Xue Ye Xue Za Zhi 2020; 41:422-424. [PMID: 32536141 PMCID: PMC7342070 DOI: 10.3760/cma.j.issn.0253-2727.2020.05.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Affiliation(s)
- Y Y Li
- Department of Clinical Laboratory, Wenzhou People's Hospital, Wenzhou 305000, China
| | - K Xu
- Department of Clinical Laboratory, Wenzhou People's Hospital, Wenzhou 305000, China
| | - M S Zhao
- Department of Clinical Laboratory, Wenzhou People's Hospital, Wenzhou 305000, China
| | - Y Tong
- Department of Clinical Laboratory, Wenzhou People's Hospital, Wenzhou 305000, China
| | - K K Su
- Department of Clinical Laboratory, Wenzhou People's Hospital, Wenzhou 305000, China
| | - M S Wang
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
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Affiliation(s)
- P. Basu
- School of Medicine University of California San Diego San Diego CA USA
| | - Y. Tong
- Department of Dermatology University of California San Diego San Diego CA USA
| | - B.R. Hinds
- Department of Dermatology University of California San Diego San Diego CA USA
| | - J.A. Schneider
- Department of Dermatology University of California San Diego San Diego CA USA
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Yao Y, Huang JJ, Jin X, Zhao JX, Xia CJ, Tong Y, Gao Y, Yu LS, Fan YY. Function of IL-33 in Wound Age Estimation of Skin Wounds in Mice. Fa Yi Xue Za Zhi 2020; 36:192-198. [PMID: 32530166 DOI: 10.12116/j.issn.1004-5619.2020.02.009] [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] [Received: 03/28/2019] [Indexed: 11/30/2022]
Abstract
Abstract Objective To explore the application value of interleukin-33 (IL-33) in wound age estimation in forensic practice by observing the sequential changes of IL-33 after skin wound. Methods Skin wound models were generated on the back of mice with a round file of 5 mm in diameter. Skin samples of the same size were taken from the same parts of mice in control group and injury group 1 h, 3 h, 6 h, 12 h, 1 d, 3 d, 5 d, 7 d and 10 d after skin wound. Hematoxylin-eosin (HE) staining method was applied to observe the morphological changes in the recovering process after skin wound. Western blotting, immunohistochemistry staining and double immunofluorescence staining methods were applied to detect the expression changes of IL-33 in the skin wound samples. Results The results of Western blotting showed that the expression of IL-33 protein decreased slightly at 3 h after skin wound, increased gradually at 6 h after skin wound, and reached the peak value at 3 d, then decreased gradually. Immunohistochemistry staining results showed that faint positive expression of IL-33 was observed in epidermis, hair follicles, sebaceous glands and dermal resident cells of the control group skin. The positive cell rate of IL-33 increased at 3 h after skin wound and reached the peak value at 3 d, then decreased gradually. The results of double immunofluorescence staining showed that the majority of IL-33 positive cells from 1 d to 3 d after wound were macrophages, while the majority of IL-33 positive cells from 5 d to 7 d after wound were myofibroblasts. In addition, the results of HE staining showed that the wound healing process of the skin wound model was consistent with the pathological development law of inflammation. Conclusion IL-33 could become a reference index for wound age estimation of skin wound in forensic practice.
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Affiliation(s)
- Y Yao
- Department of Forensic Medicine, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.,Judicial Forensic Center, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.,Institute of Forensic Science, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China
| | - J J Huang
- Department of Forensic Medicine, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.,Judicial Forensic Center, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.,Institute of Forensic Science, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China
| | - X Jin
- Department of Forensic Medicine, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.,Judicial Forensic Center, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.,Institute of Forensic Science, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China
| | - J X Zhao
- Department of Forensic Medicine, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.,Judicial Forensic Center, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.,Institute of Forensic Science, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China
| | - C J Xia
- Department of Forensic Medicine, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.,Judicial Forensic Center, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.,Institute of Forensic Science, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China
| | - Y Tong
- Department of Forensic Medicine, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.,Judicial Forensic Center, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.,Institute of Forensic Science, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China
| | - Y Gao
- Department of Forensic Medicine, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.,Judicial Forensic Center, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.,Institute of Forensic Science, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China
| | - L S Yu
- Department of Forensic Medicine, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.,Judicial Forensic Center, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.,Institute of Forensic Science, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China
| | - Y Y Fan
- Department of Forensic Medicine, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.,Judicial Forensic Center, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China.,Institute of Forensic Science, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China
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Tong Y, Zhao Y, Liu Y, Luo Y. OP0016 GUT MICROBIOTA DYSBIOSIS IN THE HIGH-RISK INDIVIDUAL FOR RA TRIGGERS THE MUCOSAL IMMUNITY PERTURBATION AND PROMOTES RHEUMATOID ARTHRITIS DEVELOPMENT. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.5234] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:The early treatment of rheumatoid arthritis (RA) is associated with better outcomes. In recent years, studies in our understanding of the preclinical events in RA help to define the “at-risk” populations who might go on to develop RA. Emerging evidence indicate that initiating events may occur at mucosal surfaces including oral cavity, lung and gut influenced by the local microbiome. Therefore, identifying the microbiome characteristics in prospective cohorts of at-risk individuals enables risk prediction or prevention of RA.Objectives:Here, we undertook this study to clarify the intestinal microbiota changes in individuals at high risk for RA. Meanwhile, we performed fecal transplantation study to investigate whereby the intestinal dysbiosis in the pre-RA population contributes to RA initiation and development, and provide a new prevention strategy for the treatment of this disease.Methods:42 high-risk for RA individuals (Pre-RA), who were defined as having a positive serum antibody for anti-cyclic citrullinated peptide (CCP), 31 RA patients and 38 healthy individuals (HC) were recruited in this study. The V3-V4 region of 16S ribosomal RNA of fecal samples from these individuals were sequenced. We evaluated the gut permeability and the gut barrier dysfuction using HE staining and RT-PCR in mice receiving fecal transplantation (FMT). Flow cytometry was applied to measure the proportions of T cell subsets in immune organs. The disease severity of collagen-induced arthritis (CIA) was also evaluated after the mice receiving FMT.Results:Alpha diversity analysis showed a comparable community richness and a lower community diversity of the intestinal microbiota in Pre-RA compared to HC (Fig 1A). At the family level, the abundance ofBacteroidaceaegradually decreased from HC to Pre-RA individuals and to RA patients (Fig 1B). On the contrary, the enriched abundances ofStreptococcaceae, Lactobacillus, Lactococcus, Weissellaandunclassified_o_Lactobacillaleswere observed in RA patients (Fig 1B). There was different intestinal microbiota construction between groups based on principal coordinate analysis (PCoA). The intestinal microbiota communities dynamically shifted from HC to Pre-RA and to RA patients (Fig.1C). Fecal transplantation study showed that gut microbiota from Pre-RA group (P) significantly increased the fluorescence intensity (Fig 2A), accompanied with a significantly decreased ZO-1 gene expression (Fig 2B), and injured epithelial microvilli of the small intestine (Fig 2C). Moreover, the percentages of Th17 cells in the mesenteric lymph nodes (mLN) and peyer patches (PP) were also significantly increased in P and R groups (Fig 2D, E). Importantly, in CIA models, the joints redness and swelling in the mice receiving Pre-RA faeces occurred earlier and were more severe compared to HC-transplanted mice (Fig 2F, G and H).Figure 1.Figure 2.Conclusion:The intestinal microbiota changed gradually during disease progression of human rheumatoid arthritis. The gut microbiota from Pre-RA individuals can trigger the gut barrier dysfunction and intestinal mucosal immunity imbalance, which may further contribute to the arthritis initiation and development.References:[1]Brusca, S. B., Abramson, S. B. & Scher, J. U. Microbiome and mucosal inflammation as extra-articular triggers for rheumatoid arthritis and autoimmunity.Curr Opin Rheumatol26, 101-107, doi:10.1097/bor.0000000000000008 (2014).[2]Rogers, G. B. Germs and joints: the contribution of the human microbiome to rheumatoid arthritis.Nat. Med.21, 839-841, doi:10.1038/nm.3916 (2015).[3]Holers, V. M.et al.Rheumatoid arthritis and the mucosal origins hypothesis: protection turns to destruction.Nature reviews. Rheumatology, doi:10.1038/s41584-018-0070-0 (2018).Acknowledgments:The work of the authors is supported by National Natural Science Foundation of China (Grant Number: 81770101, 81403041) and Outstanding interdisciplinary project of West China Hospital, Sichuan University (Grant Number: ZYJC18024).Disclosure of Interests:None declared
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Zhang FX, Tong Y, Velisa G, Bei H, Weber WJ, Zhang Y. Local structure of Ni 80X 20 (X: Cr, Mn, Pd) solid-solution alloys and its response to ion irradiation. J Phys Condens Matter 2020; 32:074002. [PMID: 31675736 DOI: 10.1088/1361-648x/ab5388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
The local structure of Ni80X20 (X: Cr, Mn, Pd) solid-solution alloys was investigated with x-ray absorption and total scattering x-ray diffraction methods. Atomic pair distribution function (PDF) analysis indicated that the local lattice distortion is strongly relevant to the atomic size mismatch, and the local lattice distortion in Ni80Pd20 alloy is obviously larger than that in other solid-solution alloys. The bond length of different atomic pairs was derived from the fitting of extended x-ray absorption fine structure spectra. Quantitative analysis of the local bonding environment in Ni80Cr20 during Ni ion irradiation suggested that Cr atoms tend to form clusters in Ni80Cr20 with the increase of ion dose.
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Affiliation(s)
- F X Zhang
- Division of Materials Science and Technology, Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States of America
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Li W, He X, Chen Y, Jing Y, Shen C, Yang J, Teng W, Zhao X, Hu W, Hu M, Li H, Miller AJ, Tong Y. A wheat transcription factor positively sets seed vigour by regulating the grain nitrate signal. New Phytol 2020; 225:1667-1680. [PMID: 31581317 PMCID: PMC7004088 DOI: 10.1111/nph.16234] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [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: 07/11/2019] [Accepted: 09/22/2019] [Indexed: 05/12/2023]
Abstract
Seed vigour and early establishment are important factors determining the yield of crops. A wheat nitrate-inducible NAC transcription factor, TaNAC2, plays a critical role in promoting crop growth and nitrogen use efficiency (NUE), and now its role in seed vigour is revealed. A TaNAC2 regulated gene was identified that is a NRT2-type nitrate transporter TaNRT2.5 with a key role in seed vigour. Overexpressing TaNAC2-5A increases grain nitrate concentration and seed vigour by directly binding to the promoter of TaNRT2.5-3B and positively regulating its expression. TaNRT2.5 is expressed in developing grain, particularly the embryo and husk. In Xenopus oocyte assays TaNRT2.5 requires a partner protein TaNAR2.1 to give nitrate transport activity, and the transporter locates to the tonoplast in a tobacco leaf transient expression system. Furthermore, in the root TaNRT2.5 and TaNRT2.1 function in post-anthesis acquisition of soil nitrate. Overexpression of TaNRT2.5-3B increases seed vigour, grain nitrate concentration and yield, whereas RNA interference of TaNRT2.5 has the opposite effects. The TaNAC2-NRT2.5 module has a key role in regulating grain nitrate accumulation and seed vigour. Both genes can potentially be used to improve grain yield and NUE in wheat.
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Affiliation(s)
- Wenjing Li
- The State Key Laboratory for Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyThe Innovative Academy of Seed DesignChinese Academy of SciencesBeijing100101China
- University of Chinese Academy of SciencesBeijing100049China
- CAS‐JIC Centre of Excellence for Plant and Microbial Science (CEPAMS)Shanghai Institutes for Biological SciencesChinese Academy of Sciences (CAS)Shanghai200032China
| | - Xue He
- The State Key Laboratory for Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyThe Innovative Academy of Seed DesignChinese Academy of SciencesBeijing100101China
- CAS‐JIC Centre of Excellence for Plant and Microbial Science (CEPAMS)Shanghai Institutes for Biological SciencesChinese Academy of Sciences (CAS)Shanghai200032China
| | - Yi Chen
- CAS‐JIC Centre of Excellence for Plant and Microbial Science (CEPAMS)Shanghai Institutes for Biological SciencesChinese Academy of Sciences (CAS)Shanghai200032China
- Department of Metabolic BiologyJohn Innes CentreNorwich Research ParkNorwichNR4 7UHUK
| | - Yanfu Jing
- The State Key Laboratory for Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyThe Innovative Academy of Seed DesignChinese Academy of SciencesBeijing100101China
- University of Chinese Academy of SciencesBeijing100049China
| | - Chuncai Shen
- The State Key Laboratory for Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyThe Innovative Academy of Seed DesignChinese Academy of SciencesBeijing100101China
- University of Chinese Academy of SciencesBeijing100049China
| | - Junbo Yang
- The State Key Laboratory for Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyThe Innovative Academy of Seed DesignChinese Academy of SciencesBeijing100101China
- University of Chinese Academy of SciencesBeijing100049China
| | - Wan Teng
- The State Key Laboratory for Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyThe Innovative Academy of Seed DesignChinese Academy of SciencesBeijing100101China
| | - Xueqiang Zhao
- The State Key Laboratory for Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyThe Innovative Academy of Seed DesignChinese Academy of SciencesBeijing100101China
| | - Weijuan Hu
- The State Key Laboratory for Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyThe Innovative Academy of Seed DesignChinese Academy of SciencesBeijing100101China
| | - Mengyun Hu
- The Institute for Cereal and Oil CropsHebei Academy of Agriculture and Forestry SciencesShijiazhuang050035China
| | - Hui Li
- The Institute for Cereal and Oil CropsHebei Academy of Agriculture and Forestry SciencesShijiazhuang050035China
| | - Anthony J. Miller
- CAS‐JIC Centre of Excellence for Plant and Microbial Science (CEPAMS)Shanghai Institutes for Biological SciencesChinese Academy of Sciences (CAS)Shanghai200032China
- Department of Metabolic BiologyJohn Innes CentreNorwich Research ParkNorwichNR4 7UHUK
| | - Yiping Tong
- The State Key Laboratory for Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyThe Innovative Academy of Seed DesignChinese Academy of SciencesBeijing100101China
- CAS‐JIC Centre of Excellence for Plant and Microbial Science (CEPAMS)Shanghai Institutes for Biological SciencesChinese Academy of Sciences (CAS)Shanghai200032China
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Gai L, Tong Y, Yan BQ. Research on the diagnostic effect of PCT level in serum on patients with sepsis due to different pathogenic causes. Eur Rev Med Pharmacol Sci 2019; 22:4238-4242. [PMID: 30024613 DOI: 10.26355/eurrev_201807_15418] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To investigate the diagnostic effect of procalcitonin level in serum for patients with sepsis due to different pathogenic causes. PATIENTS AND METHODS The clinical data of 132 sepsis patients were analyzed. Those patients were admitted to the Affiliated Hospital of Medical School of Ningbo University from January 2014 to January 2017. According to the blood culture results before antimicrobial therapy, patients were divided into two groups: Gram-negative bacteria group (G- group) and Gram-positive bacteria group (G+ group). The indexes, such as SOFA score, APACHE II score, length of stay in hospital and mortality rate, were used to evaluate disease severity of the two groups. The procalcitonin, WBC, hs-CRP and NEU% were detected and compared between the two groups of patients. RESULTS A total of 132 pathogenic bacteria were detected in 132 patients, of which 44 patients were infected with G- bacteria and 88 patients were infected with G+ bacteria. Patients in G- group were mainly infected with Escherichia coli, Acinetobacter baumannii, and Klebsiella pneumoniae, while patients in G+ group were mainly infected with Staphylococcus epidermidis and Staphylococcus aureus. The SOFA score, APACHE II score and mortality rate in G- group were higher than those in G+ group. The PCT levels in G- group and G+ group were (54.89±21.64) ng/mL and (21.13±1.30) ng/mL, respectively. The PCT level in G- group was higher than that in G+ group, and the difference was statistically significant between them (p<0.05). There was no statistically significant difference in length of stay in hospital between the two groups (p>0.05). There were no statistically significant differences in WBC, hs-CRP and NEU% between the two groups (p>0.05). CONCLUSIONS The procalcitonin level in serum of sepsis patients at early stage of bloodstream infection is significantly elevated and has diagnostic value for different pathogenic bacteria groups. It can also reflect the disease severity and predict the prognosis of sepsis patients.
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Affiliation(s)
- L Gai
- Intensive Care Unit, The Affiliated Hospital of Medical School of Ningbo University, Ningbo, China.
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46
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Zhao X, Chen SC, Tong Y, Lu H, Yang Q. [Comparison of the permeability between the rabbit cornea and sclera ex vivo]. Zhonghua Yan Ke Za Zhi 2019; 55:928-932. [PMID: 31874507 DOI: 10.3760/cma.j.issn.0412-4081.2019.12.011] [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] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Objective: Comparison of the permeability between the rabbit cornea and sclera ex vivo by determining the concentration of gatifloxacin using LC-MS/MS method, which may provide the basis for a new route of drug administration. Methods: Experimental study. The permeability of the cornea and sclera in healthy male New Zealand rabbits was evaluated by using Franz diffusion pool. We chose both gatifloxacin ophthalmic solution and gel as the test drugs, and calculated the cumulative permeation amounts (Qn), apparent permeability coefficient(P(app)). Results: The linear range of gatifloxacin was 5-1 000 ng/ml. The intra-day and inter-day precision was 1.7% -2.8% and 1.0% - 2.3%. Q(n) and P(app) of gatifloxacin ophthalmic solution in cornea and sclera ex vivo were 177.57, 517.52 μg/cm(2) and 4.34, 12.51 cm/s respectively, whereas that of gatifloxacin ophthalmic gel were 151.87, 411.05 μg/cm(2) and 3.66, 9.21 cm/s. Conclusion: This validated method could be applied to determine the gatifloxacin. The cumulative permeation amounts and apparent permeability coefficient of sclera are significantly higher than that of cornea for both ophthalmic solution and gel, suggesting that the development of a new route of drug administration based on sclera may have potential advantage. (Chin J Ophthalmol, 2019, 55: 928-932).
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Affiliation(s)
- X Zhao
- Shenyang Sinqi Pharmaceutical Co., Ltd., Shenyang 110164, China
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Yang J, Wang M, Li W, He X, Teng W, Ma W, Zhao X, Hu M, Li H, Zhang Y, Tong Y. Reducing expression of a nitrate-responsive bZIP transcription factor increases grain yield and N use in wheat. Plant Biotechnol J 2019; 17:1823-1833. [PMID: 30811829 PMCID: PMC6686140 DOI: 10.1111/pbi.13103] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [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: 09/05/2018] [Revised: 02/16/2019] [Accepted: 02/21/2019] [Indexed: 05/19/2023]
Abstract
Nitrogen (N) plays critical role in plant growth; manipulating N assimilation could be a target to increase grain yield and N use. Here, we show that ABRE-binding factor (ABF)-like leucine zipper transcription factor TabZIP60 mediates N use and growth in wheat. The expression of TabZIP60 is repressed when the N-deprived wheat plants is exposed to nitrate. Knock down of TabZIP60 through RNA interference (RNAi) increases NADH-dependent glutamate synthase (NADH-GOGAT) activity, lateral root branching, N uptake and spike number, and improves grain yield more than 25% under field conditions, while overexpression of TabZIP60-6D had the opposite effects. Further investigation shows TabZIP60 binds to ABRE-containing fragment in the promoter of TaNADH-GOGAT-3B and negatively regulates its expression. Genetic analysis reveals that TaNADH-GOGAT-3B overexpression overcomes the spike number and yield reduction caused by overexpressing TabZIP60-6D. As such, TabZIP60-mediated wheat growth and N use is associated with its negative regulation on TaNADH-GOGAT expression. These findings indicate that TabZIP60 and TaNADH-GOGAT interaction plays important roles in mediating N use and wheat growth, and provides valuable information for engineering N use efficiency and yield in wheat.
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Affiliation(s)
- Junbo Yang
- The State Key Laboratory for Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Meiyue Wang
- Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Wenjing Li
- The State Key Laboratory for Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Xue He
- The State Key Laboratory for Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Wan Teng
- The State Key Laboratory for Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Wenying Ma
- The State Key Laboratory for Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Xueqiang Zhao
- The State Key Laboratory for Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Mengyun Hu
- The Institute for Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China
| | - Hui Li
- The Institute for Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China
| | - Yijing Zhang
- Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Yiping Tong
- The State Key Laboratory for Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
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Qi M, Li Z, Liu C, Hu W, Ye L, Xie Y, Zhuang Y, Zhao F, Teng W, Zheng Q, Fan Z, Xu L, Lang Z, Tong Y, Zhang Y. CGT-seq: epigenome-guided de novo assembly of the core genome for divergent populations with large genome. Nucleic Acids Res 2019; 46:e107. [PMID: 29931324 PMCID: PMC6182137 DOI: 10.1093/nar/gky522] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [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: 02/07/2018] [Accepted: 05/24/2018] [Indexed: 11/24/2022] Open
Abstract
Genetic diversity in plants is remarkably high. Recent whole genome sequencing (WGS) of 67 rice accessions recovered 10,872 novel genes. Comparison of the genetic architecture among divergent populations or between crops and wild relatives is essential for obtaining functional components determining crucial traits. However, many major crops have gigabase-scale genomes, which are not well-suited to WGS. Existing cost-effective sequencing approaches including re-sequencing, exome-sequencing and restriction enzyme-based methods all have difficulty in obtaining long novel genomic sequences from highly divergent population with large genome size. The present study presented a reference-independent core genome targeted sequencing approach, CGT-seq, which employed epigenomic information from both active and repressive epigenetic marks to guide the assembly of the core genome mainly composed of promoter and intragenic regions. This method was relatively easily implemented, and displayed high sensitivity and specificity for capturing the core genome of bread wheat. 95% intragenic and 89% promoter region from wheat were covered by CGT-seq read. We further demonstrated in rice that CGT-seq captured hundreds of novel genes and regulatory sequences from a previously unsequenced ecotype. Together, with specific enrichment and sequencing of regions within and nearby genes, CGT-seq is a time- and resource-effective approach to profiling functionally relevant regions in sequenced and non-sequenced populations with large genomes.
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Affiliation(s)
- Meifang Qi
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fengalin Road, Shanghai 200032, China.,University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Zijuan Li
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fengalin Road, Shanghai 200032, China.,University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Chunmei Liu
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fengalin Road, Shanghai 200032, China.,University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Wenyan Hu
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fengalin Road, Shanghai 200032, China.,University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Luhuan Ye
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fengalin Road, Shanghai 200032, China.,University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Yilin Xie
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fengalin Road, Shanghai 200032, China.,University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Yili Zhuang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fengalin Road, Shanghai 200032, China.,University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Fei Zhao
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fengalin Road, Shanghai 200032, China.,University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Wan Teng
- University of the Chinese Academy of Sciences, Beijing 100049, China.,The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Qi Zheng
- University of the Chinese Academy of Sciences, Beijing 100049, China.,The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhenjun Fan
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fengalin Road, Shanghai 200032, China.,Henan University, school of life science
| | - Lin Xu
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fengalin Road, Shanghai 200032, China.,University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Zhaobo Lang
- University of the Chinese Academy of Sciences, Beijing 100049, China.,National Key Laboratory of Plant Molecular Genetics, Shanghai Center for Plant Stress Biology and Center of Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 200032, China
| | - Yiping Tong
- University of the Chinese Academy of Sciences, Beijing 100049, China.,The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yijing Zhang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fengalin Road, Shanghai 200032, China.,University of the Chinese Academy of Sciences, Beijing 100049, China
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Li Z, Wang M, Lin K, Xie Y, Guo J, Ye L, Zhuang Y, Teng W, Ran X, Tong Y, Xue Y, Zhang W, Zhang Y. The bread wheat epigenomic map reveals distinct chromatin architectural and evolutionary features of functional genetic elements. Genome Biol 2019; 20:139. [PMID: 31307500 PMCID: PMC6628505 DOI: 10.1186/s13059-019-1746-8] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 06/24/2019] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Bread wheat is an allohexaploid species with a 16-Gb genome that has large intergenic regions, which presents a big challenge for pinpointing regulatory elements and further revealing the transcriptional regulatory mechanisms. Chromatin profiling to characterize the combinatorial patterns of chromatin signatures is a powerful means to detect functional elements and clarify regulatory activities in human studies. RESULTS In the present study, through comprehensive analyses of the open chromatin, DNA methylome, seven major chromatin marks, and transcriptomic data generated for seedlings of allohexaploid wheat, we detected distinct chromatin architectural features surrounding various functional elements, including genes, promoters, enhancer-like elements, and transposons. Thousands of new genic regions and cis-regulatory elements are identified based on the combinatorial pattern of chromatin features. Roughly 1.5% of the genome encodes a subset of active regulatory elements, including promoters and enhancer-like elements, which are characterized by a high degree of chromatin openness and histone acetylation, an abundance of CpG islands, and low DNA methylation levels. A comparison across sub-genomes reveals that evolutionary selection on gene regulation is targeted at the sequence and chromatin feature levels. The divergent enrichment of cis-elements between enhancer-like sequences and promoters implies these functional elements are targeted by different transcription factors. CONCLUSIONS We herein present a systematic epigenomic map for the annotation of cis-regulatory elements in the bread wheat genome, which provides new insights into the connections between chromatin modifications and cis-regulatory activities in allohexaploid wheat.
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Affiliation(s)
- Zijuan Li
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032 China
- University of the Chinese Academy of Sciences, Beijing, 100049 China
| | - Meiyue Wang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032 China
- University of the Chinese Academy of Sciences, Beijing, 100049 China
| | - Kande Lin
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, No.1 Weigang, Nanjing, 210095 Jiangsu China
| | - Yilin Xie
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032 China
- University of the Chinese Academy of Sciences, Beijing, 100049 China
| | - Jingyu Guo
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032 China
- Henan University, School of Life Science, Kaifeng, 457000 Henan China
| | - Luhuan Ye
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032 China
- University of the Chinese Academy of Sciences, Beijing, 100049 China
| | - Yili Zhuang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032 China
- University of the Chinese Academy of Sciences, Beijing, 100049 China
| | - Wan Teng
- University of the Chinese Academy of Sciences, Beijing, 100049 China
- The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, the Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101 China
| | - Xiaojuan Ran
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032 China
- University of the Chinese Academy of Sciences, Beijing, 100049 China
| | - Yiping Tong
- University of the Chinese Academy of Sciences, Beijing, 100049 China
- The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, the Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101 China
| | - Yongbiao Xue
- University of the Chinese Academy of Sciences, Beijing, 100049 China
- The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, the Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101 China
| | - Wenli Zhang
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, No.1 Weigang, Nanjing, 210095 Jiangsu China
| | - Yijing Zhang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032 China
- University of the Chinese Academy of Sciences, Beijing, 100049 China
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Zwaschka G, Tong Y, Wolf M, Kramer Campen R. Probing the Hydrogen Evolution Reaction and Charge Transfer on Platinum Electrodes on Femtosecond Timescales. ChemElectroChem 2019. [DOI: 10.1002/celc.201900336] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- G. Zwaschka
- Fritz Haber Institute of the Max Planck Society Faradayweg 4–6 14195 Berlin Germany
| | - Y. Tong
- Fritz Haber Institute of the Max Planck Society Faradayweg 4–6 14195 Berlin Germany
| | - M. Wolf
- Fritz Haber Institute of the Max Planck Society Faradayweg 4–6 14195 Berlin Germany
| | - R. Kramer Campen
- Fritz Haber Institute of the Max Planck Society Faradayweg 4–6 14195 Berlin Germany
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