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Wang M, Masoudi A, Wang C, Feng J, Yu Z, Liu J. Urban afforestation converges soil resistome and mitigates the abundance of human pathogenic bacteria. ENVIRONMENTAL RESEARCH 2025; 278:121693. [PMID: 40288735 DOI: 10.1016/j.envres.2025.121693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2025] [Revised: 04/21/2025] [Accepted: 04/24/2025] [Indexed: 04/29/2025]
Abstract
Afforestation has emerged as a nature-based strategy for climate mitigation and urban sustainability, yet its effects on antibiotic resistance genes (ARGs) in soils remain underexplored. This study investigates how the conversion of croplands into plantation forests affects the soil resistome, bacterial communities, and physicochemical properties in an urban environment. Using high-throughput metagenomic and 16S rRNA amplicon sequencing, we analyzed soil samples from croplands and afforested plots with Chinese pine (Pinus tabulaeformis) and Chinese scholar (Sophora japonica) trees, across two-time points post-afforestation. Our results show that afforestation promotes the convergence of both bacterial and ARG communities over time, accompanied by a significant reduction in the relative abundance of human pathogenic bacteria. Afforested soils exhibited a lower prevalence of high-risk ARGs (e.g., qnrA, qnrB from the quinolone class) and reduced co-occurrence between ARGs and mobile genetic elements (MGEs), particularly transposases and recombinases, suggesting diminished horizontal gene transfer. Additionally, afforestation-induced changes in soil pH and nutrient dynamics emerged as key ecological factors shaping ARG profiles. Differences between afforestation types were also observed, with Pinus plantations presenting lower ARG-derived risks than Sophora forests. This study supports afforestation as a nature-based solution for enhancing urban sustainability, reducing public health risks, and achieving resilient ecosystems under anthropogenic influence.
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Affiliation(s)
- Min Wang
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cellular Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, 20 Nanerhuan East Road, Shijiazhuang, 050024, Hebei, China; College of Biology and Environmental Sciences, Jishou University, Jishou, 416000, China
| | - Abolfazl Masoudi
- Department of Biological Sciences, University of Illinois, Chicago, IL, United States of America
| | - Can Wang
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cellular Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, 20 Nanerhuan East Road, Shijiazhuang, 050024, Hebei, China
| | - Jian Feng
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cellular Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, 20 Nanerhuan East Road, Shijiazhuang, 050024, Hebei, China
| | - Zhijun Yu
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cellular Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, 20 Nanerhuan East Road, Shijiazhuang, 050024, Hebei, China.
| | - Jingze Liu
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cellular Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, 20 Nanerhuan East Road, Shijiazhuang, 050024, Hebei, China.
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Li D, Zhang X, Zhang H, Fan Q, Guo B, Li J. A global meta-analysis reveals effects of heavy metals on soil microorganisms. JOURNAL OF HAZARDOUS MATERIALS 2025; 491:138018. [PMID: 40138950 DOI: 10.1016/j.jhazmat.2025.138018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2024] [Revised: 03/01/2025] [Accepted: 03/19/2025] [Indexed: 03/29/2025]
Abstract
Heavy metal (HM) contamination disrupts soil ecosystem functions. Microorganisms are pivotal for sustaining soil health, but accurately assessing the ecological risks of HM contamination to microorganisms remains challenging. Here, we conducted a meta-analysis synthesizing 914 datasets from 72 studies to quantify and evaluate the impacts of HMs on microorganisms. The overall effect value results indicate that HM negatively impacts most microbiological indicators, with bacterial abundance (-38 %), fungal abundance (-18 %), microbial biomass carbon (-42 %), microbial biomass nitrogen (-44 %), arylsulfatase (-45 %) and dehydrogenase activity (-66 %) were significantly reduced (p < 0.01), suggesting they can act as sensitivity indicators for assessing ecological risk of microorganisms. Compared to bacteria, fungal indicators (e.g., fungal community structure and Shannon index) are less responsive to HM contamination. At low potential ecological risk index (RI < 150), HM contamination positively impacted certain microbial indicators, such as fungal abundance, fungal Shannon index, and β-glucosidase activity. With increasing RI levels, the negative effects of HMs on microorganisms became more pronounced. Microbiological indicators in acidic soils (pH < 6.5), coarse textured soils, and mining soils were more negatively affected by HMs. Random forest and structural equation modeling analysis also identified RI levels and pH as crucial factors in determining the microbial response to HMs. Adjusted RI (adRI) were calculated using adjusted toxicity factors (adTF). The adRI demonstrated stronger correlations with microbial indicators and lower root-mean-square error (RMSE) in the random forest model than the RI, indicating that adTF is a more effective method for evaluating the effects of HMs on microorganisms. This study enhances the accuracy of quantifying and assessing HM impacts on microorganisms, offering crucial scientific basis for environmental protection and soil remediation.
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Affiliation(s)
- Dale Li
- Institute of Loess Plateau, Shanxi University, Taiyuan, Shanxi 030006, China; Department of Resources and Environmental Engineering, Shanxi Institute of Energy, Jinzhong, Shanxi 030600, China
| | - Xiujuan Zhang
- Institute of Loess Plateau, Shanxi University, Taiyuan, Shanxi 030006, China
| | - Hong Zhang
- Institute of Loess Plateau, Shanxi University, Taiyuan, Shanxi 030006, China
| | - Qirui Fan
- Institute of Loess Plateau, Shanxi University, Taiyuan, Shanxi 030006, China
| | - Baobei Guo
- Pomology Institute, Shanxi Agricultural University, Taiyuan, Shanxi 030006, China
| | - Junjian Li
- Institute of Loess Plateau, Shanxi University, Taiyuan, Shanxi 030006, China.
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Wang C, Masoudi A, Wang M, Wang Y, Zhang Z, Cao J, Feng J, Yu Z, Liu J. Stochastic processes drive the dynamic assembly of bacterial communities in Salix matsudana afforested soils. Front Microbiol 2024; 15:1467813. [PMID: 39323888 PMCID: PMC11422207 DOI: 10.3389/fmicb.2024.1467813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2024] [Accepted: 08/26/2024] [Indexed: 09/27/2024] Open
Abstract
Introduction This study investigates the dynamic shifts in soil bacterial communities within a Salix matsudana afforested ecosystem transitioning from agricultural land. Understanding the temporal variability in bacterial diversity and community structures is crucial for informing forest management and conservation strategies, particularly in regions undergoing afforestation. Methods We employed high-throughput sequencing across three distinct months (August, September, and October) to analyze the temporal variability in bacterial community composition and diversity. Network analysis was utilized to identify keystone species and assess community stability under varying environmental conditions, including fluctuations in temperature and precipitation. Results We uncover significant temporal variability in bacterial diversity and community structures, which are closely tied to fluctuations in temperature and precipitation. Our findings reveal the abundance of the dominant bacterial phyla, such as Actinobacteria and Proteobacteria, which did not change overall, highlighting the stability and resilience of the microbial community across seasonal transitions. Notably, the increasing similarity in community composition from August to October indicates a reduction in species turnover, likely driven by more homogeneous environmental conditions. Through comprehensive network analysis, we identify the pivotal role of keystone species, particularly the human pathogen Nocardia, in maintaining community stability under reduced soil moisture. The observed variations in community connectivity underscore the microbial community's resilience and adaptability to seasonal shifts, with higher stability in August and October contrasting with the instability observed in September. Discussion These results underscore the complex interplay between stochastic and deterministic processes in bacterial community assembly, significantly shaped by prevailing environmental conditions. The insights gained from this research have far-reaching implications for forestry management and conservation strategies, particularly in regions undergoing similar afforestation efforts.
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Affiliation(s)
- Can Wang
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Abolfazl Masoudi
- Department of Biological Sciences, University of Illinois, Chicago, IL, United States
| | - Min Wang
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Yin Wang
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Ze Zhang
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Jingkun Cao
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Jian Feng
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Zhijun Yu
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Jingze Liu
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
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Wang M, Masoudi A, Wang C, Zhao L, Yang J, Yu Z, Liu J. Seasonal variations affect the ecosystem functioning and microbial assembly processes in plantation forest soils. Front Microbiol 2024; 15:1391193. [PMID: 39132137 PMCID: PMC11310165 DOI: 10.3389/fmicb.2024.1391193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Accepted: 07/05/2024] [Indexed: 08/13/2024] Open
Abstract
While afforestation mitigates climate concerns, the impact of afforestation on ecological assembly processes and multiple soil functions (multifunctionality) in afforested areas remains unclear. The Xiong'an New Area plantation forests (Pinus and Sophora forests) in North China were selected to examine the effects of plantation types across four distinct seasons on soil microbiomes. Three functional categories (nutrient stocks, organic matter decomposition, and microbial functional genes) of multifunctionality and the average (net) multifunctionality were quantified. All these categories are directly related to soil functions. The results showed that net soil multifunctionality as a broad function did not change seasonally, unlike other narrow functional categories. Bacterial communities were deterministically (variable selection and homogenous selection) structured, whereas the stochastic process of dispersal limitation was mainly responsible for the assembly and turnover of fungal and protist communities. In Pinus forests, winter initiates a sudden shift from deterministic to stochastic processes in bacterial community assembly, accompanied by decreased Shannon diversity and heightened nutrient cycling (nutrient stocks and organic matter decomposition). This indicates the potential vulnerability of deterministic assembly to seasonal fluctuations, particularly in environments rich in nutrients. The results predicted that protist community composition was uniquely structured with C-related functional activities relative to bacterial and fungal β-diversity variations, which were mostly explained by seasonal variations. Our study highlighted the importance of the protist phagocytosis process on soil microbial interactions through the predicted impact of protist α-diversity on microbial cooccurrence network parameters. This association might be driven by the high abundance of protist consumers as the main predators of bacterial and fungal lineages in our sampling plots. Our findings reveal that the complexity of microbial co-occurrence interactions was considerably higher in spring, perhaps attributing thermal variability and increased resource availability within spring that foster microbial diversity and network complexity. This study contributes to local ecosystem prospects to model the behavior of soil biota seasonally and their implied effects on soil functioning and microbial assembly processes, which will benefit global-scale afforestation programs by promoting novel, precise, and rational plantation forests for future environmental sustainability and self-sufficiency.
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Affiliation(s)
- Min Wang
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Abolfazl Masoudi
- Department of Biological Sciences, University of Illinois, Chicago, IL, United States
| | - Can Wang
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Liqiang Zhao
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Jia Yang
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Zhijun Yu
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Jingze Liu
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
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Dou Z, Sun Y, Zhang Y, Wang M, Zhang N, Liu A, Hu X. Amelioration of the physicochemical properties enhanced the resilience of bacteria in bauxite residues. JOURNAL OF HAZARDOUS MATERIALS 2024; 471:134455. [PMID: 38691931 DOI: 10.1016/j.jhazmat.2024.134455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 04/05/2024] [Accepted: 04/25/2024] [Indexed: 05/03/2024]
Abstract
Bacteria-driven strategies have gained attention because of their effectiveness, viability, and cost-efficiency in the soil formation process of bauxite residues. However, further investigation is needed to enhance the extreme environment of bauxite residues and facilitate long-term sustainable development of bacteria. Here, soil, phosphogypsum, and leaf litter were selected as amendments, and soil and leaf litter were also used as bacterial inoculants in a 12-month microcosm experiment with bauxite residues. The results showed significant improvements in physicochemical properties, including alkalinity, organic carbon content, nutrient availability, and physical structure, when bauxite residue was mixed with amendments, particularly when different amendments were combined. The diversity, structure, and function of the bacterial community were significantly enhanced with the amelioration of the physicochemical properties. In the treated samples, especially those treated with a combination of different amendments, the relative abundance (RA) of alkali-resistant bacterial taxa decreased, whereas the RA of some common taxa found in normal soil increased, and the structure of the bacterial community gradually changed towards that of normal soil. A strong correlation between physicochemical and biological properties was found. These findings suggest that rational application of soil, phosphogypsum, and leaf litter effectively improves the environmental conditions of bauxite residues and facilitate long-term sustainable bacterial communities.
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Affiliation(s)
- Zhiwen Dou
- School of Resources and Environmental Engineering, Shandong University of Technology, Zibo 255000, China
| | - Yinghong Sun
- School of Resources and Environmental Engineering, Shandong University of Technology, Zibo 255000, China
| | - Yahui Zhang
- School of Resources and Environmental Engineering, Shandong University of Technology, Zibo 255000, China
| | - Mingxia Wang
- School of Resources and Environmental Engineering, Shandong University of Technology, Zibo 255000, China
| | - Ning Zhang
- School of Resources and Environmental Engineering, Shandong University of Technology, Zibo 255000, China
| | - Aiju Liu
- School of Resources and Environmental Engineering, Shandong University of Technology, Zibo 255000, China
| | - Xinxin Hu
- School of Resources and Environmental Engineering, Shandong University of Technology, Zibo 255000, China.
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Zheng W, Wu Q, Guo X, Zhou P, Wu J, Yan W. Rocky desertification succession alters soil microbial communities and survival strategies in the karst context. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 927:172171. [PMID: 38575035 DOI: 10.1016/j.scitotenv.2024.172171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 03/12/2024] [Accepted: 03/31/2024] [Indexed: 04/06/2024]
Abstract
Rocky desertification is one of the most ecological problems in the karst context. Although extensive research has been conducted to explore how to restore and protect, the responses of soil fungi and archaea to rocky desertification succession remain limited. Here, four grades of rocky desertification in a karst ecosystem were selected, amplicon sequencing analysis was conducted to investigate fungal and archaeal community adaptation in response to rocky desertification succession. Our findings revealed that the diversity and community structure of fungi and archaea in soils declined with the aggravation of rocky desertification. As the rocky desertification succession intensified, microbial interactions shifted from cooperation to competition. Microbial survival strategies were K-strategist and r-strategist dominated in the early and late stages of succession, respectively. Additionally, the driving factors affecting microorganisms have shifted from vegetation diversity to soil properties as the intensification of rocky desertification. Collectively, our study highlighted that plant diversity and soil properties play important roles on soil microbiomes in fragile karst ecosystems and that environmental factors induced by human activities might still be the dominant factor exacerbating rocky desertification, which could significantly enrich our understanding of microbial ecology within karst ecosystems.
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Affiliation(s)
- Wei Zheng
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China; Faculty of Life Science and Technology, Central South University of Forestry & Technology, Changsha 410004, PR China; National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Changsha 410004, PR China
| | - Qian Wu
- Faculty of Resources and Environmental Engineering, Anshun University, Anshun 561000, China.
| | - Xiaobin Guo
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, PR China
| | - Ping Zhou
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, PR China
| | - Jinshui Wu
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, PR China
| | - Wende Yan
- Faculty of Life Science and Technology, Central South University of Forestry & Technology, Changsha 410004, PR China; National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Changsha 410004, PR China.
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Liu M, Xue R, Wang D, Hu Y, Gu K, Yang L, Zhao J, Guan S, Su J, Jiang Y. Variations in different preceding crops on the soil environment, bacterial community richness and diversity of tobacco-planting soil. Front Microbiol 2024; 15:1389751. [PMID: 38863755 PMCID: PMC11165186 DOI: 10.3389/fmicb.2024.1389751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 05/13/2024] [Indexed: 06/13/2024] Open
Abstract
Tobacco (Nicotiana tabacum L.) is a major cash crop, and soil quality played a significant role in the yield and quality of tobacco. Most farmers cultivate tobacco in rotation with other crops to improve the soil characteristics. However, the effects of different previous crops on the soil's nutrient status and bacterial community for tobacco cultivation still need to be determined. Three treatments were assessed in this study, i.e., tobacco-planting soil without treatment (CK), soil with barley previously cultivated (T1), and soil with rapeseed previously cultivated (T2). The soil physical and chemical properties and the 16S rRNA gene sequence diversity of the bacterial community were analyzed. The effects of different crops on the physical and chemical properties of tobacco-planting soil and the diversity and richness of the bacterial community were comprehensively discussed. The results of this study showed that different previously cultivated crops altered the nutrient status of the soil, with changes in the ratio of NH4 +-N to NO3 --N having the most significant impact on tobacco. In CK, the ratio of NH4 +-N to NO3 --N was 1:24.2, T1-1:9.59, and T2-1:11.10. The composition of the bacterial community in tobacco-planting soil varied significantly depending on the previously cultivated crops. The richness and diversity of the bacterial community with different crops were considerably higher than without prior cultivation of different crops. The dominant bacteria in different treatments were Actinobacteriota, Proteobacteria, and Chloroflexi with their relative abundance differed. In conclusion, our study revealed significant differences in nutrient status, bacterial community diversity, and the richness of tobacco-planting soil after the preceding cultivation of different crops. Suitable crops should be selected to be previously cultivated in tobacco crop rotations in near future for sustainable agriculture.
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Affiliation(s)
- Ming Liu
- College of Agronomy and Biotechnology, Southwest University/Engineering Research Center of South Upland Agriculture, Ministry of Education, Chongqing, China
- Dali Prefecture Branch of Yunnan Tobacco Company, Dali, Yunnan, China
| | - Rujun Xue
- Weishan City Branch of Yunnan Tobacco Company, Weishan, Yunnan, China
| | - Dexun Wang
- Dali Prefecture Branch of Yunnan Tobacco Company, Dali, Yunnan, China
| | - Yanxia Hu
- Dali Prefecture Branch of Yunnan Tobacco Company, Dali, Yunnan, China
| | - Kaiyuan Gu
- College of Agronomy and Biotechnology, Southwest University/Engineering Research Center of South Upland Agriculture, Ministry of Education, Chongqing, China
| | - Liu Yang
- College of Agronomy and Biotechnology, Southwest University/Engineering Research Center of South Upland Agriculture, Ministry of Education, Chongqing, China
| | - Jie Zhao
- College of Agronomy and Biotechnology, Southwest University/Engineering Research Center of South Upland Agriculture, Ministry of Education, Chongqing, China
| | - Shuyue Guan
- College of Agronomy and Biotechnology, Southwest University/Engineering Research Center of South Upland Agriculture, Ministry of Education, Chongqing, China
| | - Jiaen Su
- Dali Prefecture Branch of Yunnan Tobacco Company, Dali, Yunnan, China
| | - Yonglei Jiang
- Yunnan Academy of Tobacco Agricultural Sciences, Kunming, China
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Li J, Chen C, Ji L, Wen S, Peng J, Yang L, He G. Urbanization-driven forest soil greenhouse gas emissions: Insights from the role of soil bacteria in carbon and nitrogen cycling using a metagenomic approach. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 923:171364. [PMID: 38438026 DOI: 10.1016/j.scitotenv.2024.171364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 02/07/2024] [Accepted: 02/27/2024] [Indexed: 03/06/2024]
Abstract
Increasing population densities and urban sprawl have induced greenhouse gas (GHG) emissions from the soil, and the soil microbiota of urban forests play a critical role in the production and consumption of GHGs, supporting green development. However, the function and potential mechanism of soil bacteria in GHG emissions from forests during urbanization processes need to be better understood. Here, we measured the fluxes of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) in Cinnamomum camphora forest soils along an urbanization gradient. 16S amplicon and metagenomic sequencing approaches were employed to examine the structure and potential functions of the soil bacterial community involved in carbon (C) and nitrogen (N) cycling. In this study, the CH4 and CO2 emissions from urban forest soils (sites U and G) were significantly greater than those from suburban soils (sites S and M). The N2O emissions in the urban center (site U) were 24.0 % (G), 13.8 % (S), and 13.5 % (M) greater than those at the other three sites. These results were related to the increasing bacterial alpha diversity, interactions, and C and N cycling gene abundances (especially those involved in denitrification) in urban forest soils. Additionally, the soil pH and metal contents (K, Ca, Mg) affected key bacterial populations (such as Methylomirabilota, Acidobacteriota, and Proteobacteria) and indicators (napA, nosZ, nrfA, nifH) involved in reducing N2O emissions. The soil heavy metal contents (Fe, Cr, Pb) were the main contributors to CH4 emissions, possibly by affecting methanogens (Desulfobacterota) and methanotrophic bacteria (Proteobacteria, Actinobacteriota, and Patescibacteria). Our study provides new insights into the benefits of conservation-minded urban planning and close-to-nature urban forest management and construction, which are conducive to mitigating GHG emissions and supporting urban sustainable development by mediating the core bacterial population.
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Affiliation(s)
- Jing Li
- School of Forestry, Central South University of Forestry and Technology, 498 Shaoshan South Road, 410004 Changsha, PR China
| | - Chuxiang Chen
- School of Forestry, Central South University of Forestry and Technology, 498 Shaoshan South Road, 410004 Changsha, PR China
| | - Li Ji
- School of Forestry, Central South University of Forestry and Technology, 498 Shaoshan South Road, 410004 Changsha, PR China.
| | - Shizhi Wen
- School of Forestry, Central South University of Forestry and Technology, 498 Shaoshan South Road, 410004 Changsha, PR China
| | - Jun Peng
- Hunan Geological Experiment and Testing Center, Changsha, 290 Middle Chengnan Road, 410007, PR China
| | - Lili Yang
- School of Forestry, Central South University of Forestry and Technology, 498 Shaoshan South Road, 410004 Changsha, PR China
| | - Gongxiu He
- School of Forestry, Central South University of Forestry and Technology, 498 Shaoshan South Road, 410004 Changsha, PR China.
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Wang M, Masoudi A, Wang C, Wu C, Zhang Z, Zhao X, Liu Y, Yu Z, Liu J. Impacts of net cages on pollutant accumulation and its consequence on antibiotic resistance genes (ARGs) dissemination in freshwater ecosystems: Insights for sustainable urban water management. ENVIRONMENT INTERNATIONAL 2024; 183:108357. [PMID: 38056093 DOI: 10.1016/j.envint.2023.108357] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 11/08/2023] [Accepted: 11/26/2023] [Indexed: 12/08/2023]
Abstract
There has been increasing interest in the role of human activities in disseminating antibiotic-resistance genes (ARGs) in aquatic ecosystems. However, the influence of pollutant accumulation on anthropogenic pollutant-ARG synergistic actions is limited. This study explored the association of net cages with the propagation of anthropogenic pollutants and their consequences for influencing the enrichment of ARGs using high-throughput metagenomic sequencing. We showed that net cages could substantially impact the ecology of freshwater systems by enhancing i) ARG diversity and the tendency for ARG-horizontal gene transfer and ii) the overlap of mobile genetic elements (MGEs) with biocide-metal resistance genes (BMRGs) and ARGs. These findings suggested that the cotransfer of these three genetic determinants would be favored in net cage plots and that nonantibiotic factors such as metal(loid)s, particularly iron (Fe), displayed robust selective pressures on ARGs exerted by the net cage. The resistome risk scores of net cage sediments and biofilms were higher than those from off-net cage plots, indicating that the net cage-origin antibiotic resistome should be of great concern. The combination of deterministic and stochastic processes acting on bacterial communities could explain the higher ARG variations in cage plots (8.2%) than in off-cage plots (3.4%). Moreover, MGEs and pollutants together explained 43.3% of the total variation in ARG communities, which was higher than that of off-cage plots (8.8%), considering pollutants, environmental variables, MGEs, and assembly processes. These findings will inform the development of policies and guidelines to more effectively limit the spread of antimicrobial resistance and achieve the goal of sustainability in freshwater systems in urban areas.
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Affiliation(s)
- Min Wang
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei 050024, PR China
| | - Abolfazl Masoudi
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei 050024, PR China.
| | - Can Wang
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei 050024, PR China
| | - Changhao Wu
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei 050024, PR China
| | - Ze Zhang
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei 050024, PR China
| | - Xin Zhao
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei 050024, PR China
| | - Yuanjie Liu
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei 050024, PR China
| | - Zhijun Yu
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei 050024, PR China.
| | - Jingze Liu
- Hebei Key Laboratory of Animal Physiology, Biochemistry, and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Research Center of the Basic Discipline of Cell Biology, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei 050024, PR China.
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10
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Huang X, Zheng Y, Li P, Cui J, Sui P, Chen Y, Gao W. Organic management increases beneficial microorganisms and promotes the stability of microecological networks in tea plantation soil. Front Microbiol 2023; 14:1237842. [PMID: 37795307 PMCID: PMC10546928 DOI: 10.3389/fmicb.2023.1237842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 08/21/2023] [Indexed: 10/06/2023] Open
Abstract
Introduction Organic agriculture is highly regarded by people for its commitment to health, ecology, care, and fairness. The soil microbial community responds quickly to environmental changes and is a good indicator for evaluating soil microecology. Therefore, from the perspective of soil microbial communities, elucidating the impact of organic management on soil microecology in tea plantations has great significance for improving local tea plantation systems. Methods The study collected bulk soil from organic management (OM) and conventional management (CM) tea plantations in Pu'er City, a major tea-producing area in China, and analyzed their species diversity, structural composition, and co-occurrence networks using metagenomics technology. Results Compared with CM, the diversity index (Shannon) and evenness index (Heip) of soil fungi increased by 7.38% and 84.2% in OM tea plantations, respectively. The relative abundance of microorganisms related to the nitrogen cycle increased. Specifically, there was a significant increase in Rhodobiales, a 2-fold increase in Nitrospirae, and approximately 1.95 and 2.03 times increases in unclassified genera within Betaproteobacteria and Deltaproteobacteria, respectively. The relative abundance of plant residue degradation species, Gemmatimonadetes, Ascomycota, and Basidiomycota, increased by 2.8, 1, and 1.4 times, respectively. The OM was conducive to the establishment of collaborative relationships among bacterial species and increased the diversity and complexity of species relationships in fungal communities. The network stability of soil ecosystems was promoted. The organic tea plantations' keystone taxa contained mycorrhizal fungi (Pezoloma_ericae, Rhizophagus_irregularis, Rhizophagus_clarus), as well as species involved in soil nitrogen metabolism (Acidobacteria_bacterium, Acidobacteriia_bacterium_AA117, Sphingomonas_sp._URHD0007, Enhydrobacter_aerosaccus), pathogen (Erysiphe_pulchra), and parasites (Paramycosporidium saccamoeba). The partial least squares method (PLS-SEM) indicated that OM affected N-NH4 + negatively, increasing the abundance of fungi, and thereby positively affecting the Shannon index. Conclusion In brief, reasonable organic management can improve the diversity of soil microorganisms, increase the relative abundance of beneficial bacteria in tea plantation soil, and promote the stability of the soil microbial ecological network.
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Affiliation(s)
- Xinhui Huang
- College of Agronomy and Biotechnology, China Agricultural University, Beijing, China
| | - Yuting Zheng
- College of Agronomy and Biotechnology, China Agricultural University, Beijing, China
| | - Panfeng Li
- College of Agronomy and Biotechnology, China Agricultural University, Beijing, China
| | - Jixiao Cui
- Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Peng Sui
- College of Agronomy and Biotechnology, China Agricultural University, Beijing, China
| | - Yuanquan Chen
- College of Agronomy and Biotechnology, China Agricultural University, Beijing, China
| | - Wangsheng Gao
- College of Agronomy and Biotechnology, China Agricultural University, Beijing, China
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11
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Chen J, Li Z, Xu D, Xiao Q, Liu H, Li X, Chao L, Qu H, Zheng Y, Liu X, Wang P, Bao Y. Patterns and drivers of microbiome in different rock surface soil under the volcanic extreme environment. IMETA 2023; 2:e122. [PMID: 38867933 PMCID: PMC10989942 DOI: 10.1002/imt2.122] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/22/2023] [Accepted: 05/23/2023] [Indexed: 06/14/2024]
Abstract
Soil microbial communities were investigated under the volcanic extreme environment. Soil bacterial networks exhibited higher stability than fungal networks. Holocene granite had a more complex microbial network than basalt. Soil pH and total protein were key drivers of microbial network stability.
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Affiliation(s)
- Jin Chen
- Key Laboratory of Forage and Endemic Crop Biotechnology, Ministry of Education, School of Life SciencesInner Mongolia UniversityHohhotPeople's Republic of China
- National Engineering Laboratory of Crop Stress Resistance BreedingAnhui Agricultural UniversityHefeiPeople's Republic of China
| | - Zishan Li
- National Engineering Laboratory of Crop Stress Resistance BreedingAnhui Agricultural UniversityHefeiPeople's Republic of China
| | - Daolong Xu
- The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of BiotechnologyJiangnan UniversityWuxiPeople's Republic of China
| | - Qingchen Xiao
- National Engineering Laboratory of Crop Stress Resistance BreedingAnhui Agricultural UniversityHefeiPeople's Republic of China
| | - Haijing Liu
- Key Laboratory of Forage and Endemic Crop Biotechnology, Ministry of Education, School of Life SciencesInner Mongolia UniversityHohhotPeople's Republic of China
| | - Xiaoyu Li
- National Engineering Laboratory of Crop Stress Resistance BreedingAnhui Agricultural UniversityHefeiPeople's Republic of China
| | - Lumeng Chao
- Key Laboratory of Forage and Endemic Crop Biotechnology, Ministry of Education, School of Life SciencesInner Mongolia UniversityHohhotPeople's Republic of China
| | - Hanting Qu
- Key Laboratory of Forage and Endemic Crop Biotechnology, Ministry of Education, School of Life SciencesInner Mongolia UniversityHohhotPeople's Republic of China
| | - Yaxin Zheng
- Key Laboratory of Forage and Endemic Crop Biotechnology, Ministry of Education, School of Life SciencesInner Mongolia UniversityHohhotPeople's Republic of China
| | - Xinyan Liu
- Key Laboratory of Forage and Endemic Crop Biotechnology, Ministry of Education, School of Life SciencesInner Mongolia UniversityHohhotPeople's Republic of China
| | - Pengfei Wang
- Key Laboratory of Forage and Endemic Crop Biotechnology, Ministry of Education, School of Life SciencesInner Mongolia UniversityHohhotPeople's Republic of China
| | - Yuying Bao
- Key Laboratory of Forage and Endemic Crop Biotechnology, Ministry of Education, School of Life SciencesInner Mongolia UniversityHohhotPeople's Republic of China
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12
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Wang M, Wang C, Yu Z, Wang H, Wu C, Masoudi A, Liu J. Fungal diversities and community assembly processes show different biogeographical patterns in forest and grassland soil ecosystems. Front Microbiol 2023; 14:1036905. [PMID: 36819045 PMCID: PMC9928764 DOI: 10.3389/fmicb.2023.1036905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 01/16/2023] [Indexed: 02/04/2023] Open
Abstract
Soil fungal community has been largely explored by comparing their natural diversity. However, there is a relatively small body of literature concerned with fungal community assembly processes and their co-occurrence network correlations carried out across large spatial-temporal scales with complex environmental gradients in natural ecosystems and different habitats in China. Thus, soil fungal community assembly processes were assessed to predict changes in soil function in 98 different forest and grassland sites from the Sichuan, Hubei, and Hebei Provinces of China using high-throughput sequencing of nuclear ribosomal internal transcribed spacer 2 (ITS-2). The 10 most abundant fungal phyla results showed that Ascomycota was the most abundant phylum in forests from Sichuan province (64.42%) and grassland habitats from Hebei province (53.46%). Moreover, core fungal taxa (487 OTUs) represented 0.35% of total fungal OTUs. We observed higher fungal Shannon diversity and richness (the Chao1 index) from diverse mixed forests of the Sichuan and Hubei Provinces than the mono-cultured forest and grassland habitats in Hebei Province. Although fungal alpha and beta diversities exhibited different biogeographical patterns, the fungal assembly pattern was mostly driven by dispersal limitation than selection in different habitats. Fungal co-occurrence analyses showed that the network was more intense at Saihanba National Forest Park (SNFP, Hebei). In contrast, the co-occurrence network was more complex at boundaries between forests and grasslands at SNFP. Additionally, the highest number of positive (co-presence or co-operative) correlations of fungal genera were inferred from grassland habitat, which led fungal communities to form commensalism relationships compared to forest areas with having higher negative correlations (mutual exclusion or competitive). The generalized additive model (GAM) analysis showed that the association of fungal Shannon diversity and richness indices with geographical coordinates did not follow a general pattern; instead, the fluctuation of these indices was restricted to local geographical coordinates at each sampling location. These results indicated the existence of a site effect on the diversity of fungal communities across our sampling sites. Our observation suggested that higher fungal diversity and richness of fungal taxa in a particular habitat are not necessarily associated with more complex networks.
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13
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Guo Y, Zhang A, Qin C, Yu G, Ma H. Community assembly patterns and processes of microbiome responses to habitats and Mytilopsis sallei invasion in the tidal zones of the Pearl River Estuary. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 857:159675. [PMID: 36280051 DOI: 10.1016/j.scitotenv.2022.159675] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 10/10/2022] [Accepted: 10/20/2022] [Indexed: 06/16/2023]
Abstract
The sustainability of estuarine ecosystem functions depends on the stabilization of microbial ecological processes. However, due to the unique and variable habitat characteristics of estuarine areas, in-depth studies on ecological processes such as the spatial distribution and assembly patterns of microbial community structure are lacking. As methods to elucidate this structure, we used 16S rDNA, 18S rDNA and ITS sequencing technologies to study the composition, diversity, spatial pattern and aggregation mechanism of the bacterial, protist and fungal communities in the tidal zones of the Pearl River Estuary (PRETZ). The abundance of bacterial communities was much higher than that of protists and fungi, and the spatial pattern was obvious in PRETZ. The application of neutral and null models revealed the assembly process of three microbial communities dominated by stochastic processes. Among the stochastic processes, undominated processes (64.03 %, 62.45 %, and 59.29 %) were the most critical processes in the assembly of bacterial, fungal and protist communities. Meanwhile, environmental variables, geographic locations, and biological factors were associated with the composition and assembly of bacterial, protist, and fungal communities. Among the environmental variables, dissolved oxygen and salinity were the main predictors that jointly affected the differences in the community structure of the three microorganisms, and geographic location was the second predictor affecting the community structure of the three microorganisms and had a more pronounced effect on the diversity and network structure of the bacterial and fungal communities. However, biological factors exerted a weaker effect on the microbial community structure than spatial factors and only affected bacteria and protists; the invasive species Mytilopsis sallei only affected the process of protist community assembly. In addition, environmental variables affected the relative importance of stochastic processes. In summary, the formation of microbial communities in the PRETZ was affected by random processes, environmental variables, geographic location, and invasive species.
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Affiliation(s)
- Yu Guo
- South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China; National Agricultural Experimental Station for Fishery Resources and Environment Dapeng, Shenzhen, China; Key Laboratory of Marine Ranching, Ministry of Agriculture and Rural Affairs, China; Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Guangzhou, China
| | - Ankai Zhang
- South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China
| | - Chuanxin Qin
- South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China; National Agricultural Experimental Station for Fishery Resources and Environment Dapeng, Shenzhen, China; Key Laboratory of Marine Ranching, Ministry of Agriculture and Rural Affairs, China; Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Guangzhou, China.
| | - Gang Yu
- South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China
| | - Hongmei Ma
- South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China
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14
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Wen L, Zhang L, Bai J, Wang Y, Wei Z, Liu H. Optimizing spatial interpolation method and sampling number for predicting cadmium distribution in the largest shallow lake of North China. CHEMOSPHERE 2022; 309:136789. [PMID: 36223825 DOI: 10.1016/j.chemosphere.2022.136789] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 09/02/2022] [Accepted: 10/04/2022] [Indexed: 06/16/2023]
Abstract
Cadmium (Cd) pollution has been widely recognized in lake ecosystems. Although the accurate prediction of the spatial distributions of Cd in lakes is important for controlling Cd pollution, the traditional monitoring methods of setting discrete and limited sampling points cannot actually reflect the continuous spatial distribution characteristics of Cd. In this study, we set up 93 sampling points in Baiyangdian Lake (BYDL), and collected surface water, overlying water and sediment samples from each sampling point. Cd contents were measured to predict their spatial distributions in different environmental components by three interpolation methods, inverse distance weighted (IDW), radial basis function (RBF) and ordinary kriging (OK), and the effects of different sampling numbers on the interpolation accuracy were also assessed to optimize the interpolation method and sampling number. The results showed that the interpolation accuracy of IDW decreased with increasing power values. The best basis function for RBF was IMQ, and the best semivariogram models for OK were the spherical model and stable model. The best interpolation method for the waters and sediments was RBF-IMQ compared with OK and IDW. Within the sampling number range of 50-93, the interpolation accuracy for Cd in surface water increased with the increase in sampling number. Comparatively, the interpolation accuracy was the highest for overlying water and sediments when the sampling number was 60. The findings of this work provide a combined sampling and spatial interpolation method for monitoring the spatial distribution and pollution levels of Cd in the waters and sediments of shallow lakes.
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Affiliation(s)
- Lixiang Wen
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Ling Zhang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China; School of Chemistry and Chemical Engineering, Qinghai Normal University, Xining, 810008, China
| | - Junhong Bai
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China.
| | - Yaqi Wang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Zhuoqun Wei
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Haizhu Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
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15
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Liao H, Li H, Duan CS, Zhou XY, Luo QP, An XL, Zhu YG, Su JQ. Response of soil viral communities to land use changes. Nat Commun 2022; 13:6027. [PMID: 36224209 PMCID: PMC9556555 DOI: 10.1038/s41467-022-33771-2] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 09/30/2022] [Indexed: 02/07/2023] Open
Abstract
Soil viruses remain understudied when compared to virus found in aquatic ecosystems. Here, we investigate the ecological patterns of soil viral communities across various land use types encompassing forest, agricultural, and urban soil in Xiamen, China. We recovered 59,626 viral operational taxonomic units (vOTUs) via size-fractioned viromic approach with additional mitomycin C treatment to induce virus release from bacterial fraction. Our results show that viral communities are significantly different amongst the land use types considered. A microdiversity analysis indicates that selection act on soil vOTUs, resulting in disparities between land use associated viral communities. Soil pH is one of the major determinants of viral community structure, associated with changes of in-silico predicted host compositions of soil vOTUs. Habitat disturbance and variation of soil moisture potentially contribute to the dynamics of putative lysogenic vOTUs. These findings provide mechanistic understandings of the ecology and evolution of soil viral communities in changing environments.
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Affiliation(s)
- Hu Liao
- grid.9227.e0000000119573309Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, 361021 Xiamen, China ,grid.410726.60000 0004 1797 8419University of Chinese Academy of Sciences, 100049 Beijing, China
| | - Hu Li
- grid.9227.e0000000119573309Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, 361021 Xiamen, China
| | - Chen-Song Duan
- grid.9227.e0000000119573309Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, 361021 Xiamen, China ,grid.410726.60000 0004 1797 8419University of Chinese Academy of Sciences, 100049 Beijing, China
| | - Xin-Yuan Zhou
- grid.9227.e0000000119573309Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, 361021 Xiamen, China ,grid.410726.60000 0004 1797 8419University of Chinese Academy of Sciences, 100049 Beijing, China
| | - Qiu-Ping Luo
- grid.9227.e0000000119573309Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, 361021 Xiamen, China ,grid.410726.60000 0004 1797 8419University of Chinese Academy of Sciences, 100049 Beijing, China
| | - Xin-Li An
- grid.9227.e0000000119573309Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, 361021 Xiamen, China
| | - Yong-Guan Zhu
- grid.9227.e0000000119573309Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, 361021 Xiamen, China ,grid.9227.e0000000119573309State Key Lab of Urban and Regional Ecology, Research Center for Eco-environmental Sciences, Chinese Academy of Sciences, 100085 Beijing, China
| | - Jian-Qiang Su
- grid.9227.e0000000119573309Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, 361021 Xiamen, China ,grid.410726.60000 0004 1797 8419University of Chinese Academy of Sciences, 100049 Beijing, China
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Yang J, Masoudi A, Li H, Gu Y, Wang C, Wang M, Yu Z, Liu J. Microbial community structure and niche differentiation under different health statuses of Pinus bungeana in the Xiong'an New Area in China. Front Microbiol 2022; 13:913349. [PMID: 36118200 PMCID: PMC9481298 DOI: 10.3389/fmicb.2022.913349] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 08/11/2022] [Indexed: 11/13/2022] Open
Abstract
Pinus bungeana is a native but endangered plant species in China, with high ornamental value and adaptability to drought and cold. The relationship between the soil community structure and endophytic microbes in the tissues of P. bungeana under different health statuses is poorly understood. In this study, the endophytic bacterial and fungal communities of P. bungeana under different health statuses were compared and analyzed in the Xiong'an New Area. Using high-throughput deep sequencing [16S and internal transcribed spacer (ITS) rRNA] techniques, the effect of the health status of P. bungeana on the microbial communities in bulk soil, rhizospheric soil, roots, stems, and leaves was determined in this study. We observed that the diversity of the bacterial and fungal communities of the aboveground parts (stems and leaves) of healthy P. bungeana plants was much higher than that of the unhealthy plants. However, the diversity of bacterial and fungal communities in the belowground parts (bulk soil, rhizospheric soil, and roots) showed almost no difference in microbial community richness, indicating that the possible cause of illness was transmitted in a "top-down" manner. Furthermore, there were significant differences in the microbial diversity and community structure in different ecological niches of P. bungeana (P < 0.01). Proteobacteria and Actinobacteria were the dominant bacterial phyla, while Ascomycota, Basidiomycota, and Mortierellomycota were the predominant fungal phyla. Redundancy analysis (RDA) revealed that soil organic matter (SOM), total phosphorous (TP), total potassium (TK), total nitrogen (TN), water content (WC), power of hydrogen (pH), total carbon (TC), and the ratio of carbon to nitrogen (C/N) were significantly correlated with the composition of the microbial communities. Altogether, these results provide a scientific basis for further studies on the mechanism underlying the "aboveground-underground" microbial interactions in plantation forests, which can aid in promoting the healthy and sustainable development of the Millennium Xiulin forest in the Xiong'an New Area.
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Affiliation(s)
- Jia Yang
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Abolfazl Masoudi
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Hao Li
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Yifan Gu
- School of Geographic Sciences, Hebei Normal University, Shijiazhuang, China
| | - Can Wang
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Min Wang
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Zhijun Yu
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Jingze Liu
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
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Xiao D, He X, Zhang W, Hu P, Sun M, Wang K. Comparison of bacterial and fungal diversity and network connectivity in karst and non-karst forests in southwest China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 822:153179. [PMID: 35051465 DOI: 10.1016/j.scitotenv.2022.153179] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 01/11/2022] [Accepted: 01/12/2022] [Indexed: 06/14/2023]
Abstract
Microbial communities contribute to sustaining the function of terrestrial ecosystems and are influenced by soil type and climate gradients. The effects of karst and non-karst soils on bacterial and fungal profiles for seven climate gradients were assessed to better understand bacterial and fungal diversity and community composition in response to soil type with changes in soil physicochemical properties under different temperatures and precipitations. Bacterial and fungal abundance, diversity, and community composition differed between karst and non-karst forests. Bacterial and fungal richness, Shannon index, and bacterial abundance in karst forests were higher than non-karst forests, but the fungal abundance was lower. Mean annual temperature was negatively correlated with bacterial diversity in the karst forest and fungal abundance in karst and non-karst forests. The community composition of bacteria and fungi differed among these two soil types. The karst forest had greater connectivity among bacterial and fungal communities than non-karst forests. The bacterial members of Acidobacteria, Proteobacteria, Actinobacteria, and fungal groups of Ascomycota and Basidiomycota were mainly connected with other taxa in the network, implying that taxa were associated with highly functional potential. The relative abundance of Actinobacteria and Ascomycota was higher in karst than in non-karst forests. Proteobacteria and Basidiomycota showed the opposite results. A random forest and multiple regression tree analyses revealed that soil properties, specifically pH, calcium, and total nitrogen, were the main factors influencing the variation in bacterial and fungal profiles between karst and non-karst forests. This study provides novel evidence that the abundant microbial taxa were kinless hubs in co-occurrence patterns. Controlling complex networks of species interactions may contribute to improving soil nutrient processes rather than microbial diversity, enhancing our understanding of developing sustainable recovery strategies in fragile ecosystems.
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Affiliation(s)
- Dan Xiao
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; Huanjiang Observation and Research Station for Karst Ecosystems, Chinese Academy of Sciences, Huanjiang 547100, China; Guangxi Industrial Technology Research Institute for Karst Rocky Desertification Control, Nanning 530001, China; Guangxi Key Laboratory of Karst Ecological Processes and Services, Huanjiang 547100, China
| | - Xunyang He
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; Huanjiang Observation and Research Station for Karst Ecosystems, Chinese Academy of Sciences, Huanjiang 547100, China; Guangxi Industrial Technology Research Institute for Karst Rocky Desertification Control, Nanning 530001, China; Guangxi Key Laboratory of Karst Ecological Processes and Services, Huanjiang 547100, China
| | - Wei Zhang
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; Huanjiang Observation and Research Station for Karst Ecosystems, Chinese Academy of Sciences, Huanjiang 547100, China; Guangxi Industrial Technology Research Institute for Karst Rocky Desertification Control, Nanning 530001, China; Guangxi Key Laboratory of Karst Ecological Processes and Services, Huanjiang 547100, China.
| | - Peilei Hu
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; Huanjiang Observation and Research Station for Karst Ecosystems, Chinese Academy of Sciences, Huanjiang 547100, China; Guangxi Industrial Technology Research Institute for Karst Rocky Desertification Control, Nanning 530001, China; Guangxi Key Laboratory of Karst Ecological Processes and Services, Huanjiang 547100, China
| | - Mingming Sun
- Huanjiang Observation and Research Station for Karst Ecosystems, Chinese Academy of Sciences, Huanjiang 547100, China; College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China
| | - Kelin Wang
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; Huanjiang Observation and Research Station for Karst Ecosystems, Chinese Academy of Sciences, Huanjiang 547100, China; Guangxi Industrial Technology Research Institute for Karst Rocky Desertification Control, Nanning 530001, China; Guangxi Key Laboratory of Karst Ecological Processes and Services, Huanjiang 547100, China.
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Caravaca F, Torres P, Díaz G, Roldán A. Elevated functional versatility of the soil microbial community associated with the invader Carpobrotus edulis across a broad geographical scale. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 813:152627. [PMID: 34963581 DOI: 10.1016/j.scitotenv.2021.152627] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 12/16/2021] [Accepted: 12/19/2021] [Indexed: 06/14/2023]
Abstract
Exotic invasive plants may shape their own rhizosphere microbial community during global invasions. Nevertheless, the impacts of such plant invasions on the functional capacities of soil microbial communities remain poorly explored. We used an approach at a broad geographical scale to estimate the composition and abundance of the fungal functional groups, as well as the bacterial metabolic functions, associated with the rhizospheres of Carpobrotus edulis (L.) L. Bolus and the predominant native plants in coastal ecosystems located in different geographical regions. We used the ASV method to infer the potential functions of the soil microbial community with the PICRUSt2 and FUNGuild tools. The predictive functional profiling of the bacterial communities differed between the rhizospheres of the invasive and native plants, regardless of the biogeographic location of the invaded soil. Some predicted pathways related to the biosynthesis of nucleotides such as ppGpp and pppGpp, lipids, carbohydrates and secondary metabolites and the degradation of organic matter were enriched in the C. edulis rhizosphere. Moreover, the invasive microbiota was characterised by a greater richness and diversity of catabolic enzymes involved in nutrients cycling and higher relative abundances of saprotrophs and pathotrophs. Invasion by C. edulis promoted a shift in the potential functional versatility of the soil microbial communities, which can cope with nutrient limitations and biotic stress, and can favour the establishment of the invasive plant, but also alter the functioning and stability of the invaded ecosystems.
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Affiliation(s)
- F Caravaca
- CSIC-Centro de Edafología y Biología Aplicada del Segura, Department of Soil and Water Conservation, P.O. Box 164, Campus de Espinardo, 30100 Murcia, Spain.
| | - P Torres
- Universidad Miguel Hernández de Elche, Department of Applied Biology, Avda. Ferrocarril, s/n, Edf. Laboratorios, 03202 Elche, Alicante, Spain
| | - G Díaz
- Universidad Miguel Hernández de Elche, Department of Applied Biology, Avda. Ferrocarril, s/n, Edf. Laboratorios, 03202 Elche, Alicante, Spain
| | - A Roldán
- CSIC-Centro de Edafología y Biología Aplicada del Segura, Department of Soil and Water Conservation, P.O. Box 164, Campus de Espinardo, 30100 Murcia, Spain
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