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Liu Q, Duan X, Zhang Y, Duan L, Zhang X, Liu F, Li D, Zhang H. Rainfall seasonality shapes microbial assembly and niche characteristics in Yunnan Plateau lakes, China. ENVIRONMENTAL RESEARCH 2024; 257:119410. [PMID: 38871273 DOI: 10.1016/j.envres.2024.119410] [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: 03/26/2024] [Revised: 06/05/2024] [Accepted: 06/10/2024] [Indexed: 06/15/2024]
Abstract
Microorganisms are crucial components of freshwater ecosystems. Understanding the microbial community assembly processes and niche characteristics in freshwater ecosystems, which are poorly understood, is crucial for evaluating microbial ecological roles. The Yunnan Plateau lakes in China represent a freshwater ecosystem that is experiencing eutrophication due to anthropogenic activities. Here, variation in the assembly and niche characteristics of both prokaryotic and microeukaryotic communities was explored in Yunnan Plateau lakes across two seasons (dry season and rainy season) to determine the impacts of rainfall and environmental conditions on the microbial community and niche. The results showed that the environmental heterogeneity of the lakes decreased in the rainy season compared to the dry season. The microbial (bacterial and microeukaryotic) α-diversity significantly decreased during the rainy season. Deterministic processes were found to dominate microbial community assembly in both seasons. β-Diversity decomposition analysis revealed that microbial community compositional dissimilarities were dominated by species replacement processes. The co-occurrence networks indicated reduced species complexity for microbes and a destabilized network for prokaryotes prior to rainfall, while the opposite was found for microeukaryotes following rainfall. Microbial niche breadth decreased significantly in the rainy season. In addition, lower prokaryotic niche overlap, but greater microeukaryotic niche overlap, was observed after rainfall. Rainfall and environmental conditions significantly affected the microbial community assembly and niche characteristics. It can be concluded that rainfall and external pollutant input during the seasonal transition alter the lake environment, thereby regulating the microbial community and niche in these lakes. Our findings offer new insight into microbiota assembly and niche patterns in plateau lakes, further deepening the understanding of freshwater ecosystem functioning.
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Affiliation(s)
- Qi Liu
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, 650500, China
| | - Xinlu Duan
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, 650500, China
| | - Yang Zhang
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, 650500, China
| | - Lizeng Duan
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, 650500, China
| | - Xiaonan Zhang
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, 650500, China
| | - Fengwen Liu
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, 650500, China
| | - Donglin Li
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, 650500, China
| | - Hucai Zhang
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, 650500, China; Southwest United Graduate School, Kunming, 650500, Yunnan, China.
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Li D, Wang H, Chen N, Jiang H, Chen N. Metagenomic analysis of soil microbial communities associated with Poa alpigena Lindm in Haixin Mountain, Qinghai Lake. Braz J Microbiol 2024:10.1007/s42770-024-01339-5. [PMID: 38652444 DOI: 10.1007/s42770-024-01339-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 04/04/2024] [Indexed: 04/25/2024] Open
Abstract
To investigate the impact of Poa alpigena Lindm on rhizosphere and bulk soil microorganisms in Haixin Mountain, Qinghai Lake, this study employed metagenomics technology to analyze the microbial communities of the samples. Results showed that 65 phyla, 139 classes, 278 orders, 596 families, 2376 genera, and 5545 species of soil microorganisms were identified from rhizosphere and bulk soil samples. Additionally, a microbial gene library specific to Poa alpigena Lindm was established for Qinghai Lake. Through α-diversity analysis, the richness and diversity of bulk microorganisms both significantly had a higher value than that in rhizosphere soil. The indicator microorganisms of rhizosphere and bulk soil at class level were Actinobacteria and Alphaproteobacteria, respectively. KEGG pathway analysis indicated that Carotenoid biosynthesis, Starch and sucrose metabolism, Bacterial chemotaxis, MAPK signaling pathway, Terpenoid backbone biosynthesis, and vancomycin resistance were the key differential metabolic pathways of rhizosphere soil microorganisms; in contrast, in bulk soil, the key differential metabolic were Benzoate degradation, Glycolysis gluconeogenesis, Aminobenzoate degradation, ABC transporters, Glyoxylate and dicarboxylate metabolism, oxidative phosphorylation, Degradation of aromatic compounds, Methane metabolism, Pyruvate metabolism and Microbial metabolism diverse environments. Our results indicated that Poa alpigena Lindm rhizosphere soil possessed selectivity for microorganisms in Qinghai Lake Haixin Mountain, and the rhizosphere soil also provided a suitable survival environment for microorganisms.
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Affiliation(s)
- Daoyuan Li
- College of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu'an City, 237012, China
- Anhui Engineering Laboratory for Conservation and Sustainable Utilization of TCM, Lu'an City, 237012, China
- Anhui Provincial Key Laboratory for Quality Evaluation and Improvement of Traditional Chinese Medicine, Lu'an City, 237012, China
- Lu'an City Key Laboratory for Quality Evaluation and Improvement of Traditional Chinese Medicine, Lu'an City, 237012, China
| | - Hengsheng Wang
- Hefei Normal University, Hefei Anhui, 230601, China
- Key Laboratory of Surface Processes and Ecological Conservation on Qinghai-Tibet Plateau, Ministry of Education, Qinghai Normal University, Xining Qinghai, 810008, China
| | - Naidong Chen
- College of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu'an City, 237012, China
- Anhui Engineering Laboratory for Conservation and Sustainable Utilization of TCM, Lu'an City, 237012, China
- Anhui Provincial Key Laboratory for Quality Evaluation and Improvement of Traditional Chinese Medicine, Lu'an City, 237012, China
- Lu'an City Key Laboratory for Quality Evaluation and Improvement of Traditional Chinese Medicine, Lu'an City, 237012, China
| | - Haiyang Jiang
- College of Life Sciences, Anhui Agricultural University, Hefei, 230036, China.
| | - Naifu Chen
- College of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu'an City, 237012, China.
- Anhui Engineering Laboratory for Conservation and Sustainable Utilization of TCM, Lu'an City, 237012, China.
- Anhui Provincial Key Laboratory for Quality Evaluation and Improvement of Traditional Chinese Medicine, Lu'an City, 237012, China.
- Lu'an City Key Laboratory for Quality Evaluation and Improvement of Traditional Chinese Medicine, Lu'an City, 237012, China.
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Yang L, Xie N, Yao Y, Wang C, Tian M, Wang K. Hepatitis B time series in Xinjiang, China (2006-2021): change point detection based on the Mann-Kendall-Sneyers test. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2024; 21:2458-2469. [PMID: 38454691 DOI: 10.3934/mbe.2024108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/09/2024]
Abstract
Hepatitis B is a major global challenge, but there is a lack of epidemiological research on hepatitis B incidence from a change point perspective. This study aimed to fill this gap by identifying significant change points and trends in hepatitis time series in Xinjiang, China. The datasets were obtained from the Xinjiang Information System for Disease Control and Prevention. The Mann-Kendall-Sneyers (MKS) test was used to detect change points and trend changes on the hepatitis B time series of 14 regions in Xinjiang, and the effectiveness of this method was validated by comparing it with the binary segmentation (BS) and segment regression (SR) methods. Based on the results of change point analysis, the prevention and control policies and measures of hepatitis in Xinjiang were discussed. The results showed that 8 regions (57.1%) with at least one change fell within the 95% confidence interval (CI) in all 14 regions by the MKS test, where five regions (Turpan (TP), Hami (HM), Bayingolin (BG), Kyzylsu Kirgiz (KK), Altai (AT)) were identified at one change point, two change points existed for two regions (Aksu (AK), Hotan (HT)) and three change points was detected in 1 region (Bortala (BT)). Most of the change points occurred at both ends of the sequence. More change points indicated an upward trend in the front half of the sequence, while in the latter half, many change points indicated a downward trend prominently. Finally, in comparing the results of the three change point tests, the MKS test showed a 61.5% agreement (8/13) with the BS and SR.
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Affiliation(s)
- Liping Yang
- College of Public Health, Xinjiang Medical University, Urumqi 830017, China
| | - Na Xie
- Department of Immunization Programme, Xinjiang Center for Disease Control and Prevention, Urumqi 830054, China
| | - Yanru Yao
- College of Science, Shihezi University, Shihezi 832000, China
| | - Chunxia Wang
- College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830017, China
| | - Maozai Tian
- College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830017, China
| | - Kai Wang
- College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830017, China
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Seethalakshmi PS, Prabhakaran A, Kiran GS, Selvin J. Genomic insights into plasmid-mediated antimicrobial resistance in the bacterium Bhargavaea beijingensis strain PS04. Arch Microbiol 2023; 206:33. [PMID: 38133813 DOI: 10.1007/s00203-023-03746-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 11/14/2023] [Accepted: 11/14/2023] [Indexed: 12/23/2023]
Abstract
The dissemination of antimicrobial-resistant bacteria through environment is a major health concern for public health. Pathogenic bacteria in natural environment can mediate the transfer of antimicrobial-resistant genes via horizontal gene transfer to naturally occurring bacteria in the soil. Bhargavaea beijingensis is a Gram-negative bacterium that is commonly found in soil and water. In recent years, there has been an emergence of antibiotic-resistant strains of environmental bacteria, which pose a significant threat to human health. One mechanism of antibiotic resistance in bacteria is through the acquisition of plasmids, which can carry genes that confer resistance to various antibiotics. In this study, a novel plasmid of repUS12 replicon type was identified in the strain PS04 of B. beijingensis, which carried the ermT and tet(L) genes, encoding resistance to macrolides, lincosamides, and tetracycline. The plasmid was found to be the first of its kind in B. beijingensis and was thought to have been acquired through horizontal gene transfer. The emergence of plasmid-mediated resistance in B. beijingensis highlights the need for continued surveillance and monitoring of antibiotic resistance in environmental bacteria.
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Affiliation(s)
- P S Seethalakshmi
- Department of Microbiology, Pondicherry University, Puducherry, 605014, India
| | | | - George Seghal Kiran
- Department of Food Science and Technology, Pondicherry University, Puducherry, 605014, India
| | - Joseph Selvin
- Department of Microbiology, Pondicherry University, Puducherry, 605014, India.
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Yang L, Xie N, Yao Y, Wang C, RiFhat R, Tian M, Wang K. Multiple change point analysis of hepatitis B reports in Xinjiang, China from 2006 to 2021. Front Public Health 2023; 11:1223176. [PMID: 38035295 PMCID: PMC10682783 DOI: 10.3389/fpubh.2023.1223176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 10/23/2023] [Indexed: 12/02/2023] Open
Abstract
Objective Hepatitis B (HB) is a major global challenge, but there has been a lack of epidemiological studies on HB incidence in Xinjiang from a change-point perspective. This study aims to bridge this gap by identifying significant change points and trends. Method The datasets were obtained from the Xinjiang Information System for Disease Control and Prevention. Change points were identified using binary segmentation for full datasets and a segmented regression model for five age groups. Results The results showed four change points for the quarterly HB time series, with the period between the first change point (March 2007) and the second change point (March 2010) having the highest mean number of HB reports. In the subsequent segments, there was a clear downward trend in reported cases. The segmented regression model showed different numbers of change points for each age group, with the 30-50, 51-80, and 15-29 age groups having higher growth rates. Conclusion Change point analysis has valuable applications in epidemiology. These findings provide important information for future epidemiological studies and early warning systems for HB.
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Affiliation(s)
- Liping Yang
- College of Public Health, Xinjiang Medical University, Ürümqi, China
- College of Medical Engineering and Technology, Xinjiang Medical University, Ürümqi, China
| | - Na Xie
- Department of Immunization Programme, Xinjiang Center for Disease Control and Prevention, Ürümqi, China
| | - Yanru Yao
- College of Science, Shihezi University, Shihezi, China
| | - Chunxia Wang
- College of Medical Engineering and Technology, Xinjiang Medical University, Ürümqi, China
| | - Ramziya RiFhat
- College of Medical Engineering and Technology, Xinjiang Medical University, Ürümqi, China
| | - Maozai Tian
- College of Medical Engineering and Technology, Xinjiang Medical University, Ürümqi, China
| | - Kai Wang
- College of Medical Engineering and Technology, Xinjiang Medical University, Ürümqi, China
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Liu Q, Chang F, Xie P, Zhang Y, Duan L, Li H, Zhang X, Zhang Y, Li D, Zhang H. Microbiota assembly patterns and diversity of nine plateau lakes in Yunnan, southwestern China. CHEMOSPHERE 2023; 314:137700. [PMID: 36587916 DOI: 10.1016/j.chemosphere.2022.137700] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 12/23/2022] [Accepted: 12/28/2022] [Indexed: 06/17/2023]
Abstract
Microbes serve as important components of ecosystem services and biogeochemical processes in plateau lakes. However, the features of microbiota assembly, abundance and diversity in plateau lakes remain unclear. The microbial communities in surface water from nine plateau lakes in Yunnan Plateau, southwestern China, in the dry and rainy seasons were explored using 16S rRNA gene and 18S rRNA gene sequencing. The results showed that the bacterial community compositions were homogeneous while those of micro-eukaryotes were heterogeneous in plateau lakes. In both seasons, the bacterial phyla of Proteobacteria and Actinobacteriota predominated in oligotrophic lakes. The mesotrophic lakes were dominated by Proteobacteria, Actinobacteriota, Bacteroidota and Cyanobacteria. The eutrophic lakes were mainly dominated by Proteobacteria, Actinobacteriota and Cyanobacteria. The phylum SAR_k_norank had the major micro-eukaryotes in these plateau lakes. The alpha-diversity of bacteria declined in the rainy season, while that of micro-eukaryotes varied from lake to lake. The drivers of microbiotic community assembly in the dry season were identified as nutrient level-related factors. In the rainy season, however, the microbiota in oligotrophic lakes were related to nutrient levels. Microbial communities were driven by precipitation in mesotrophic and eutrophic lakes with large water volumes, while those in lakes with small water volumes were regulated by nutrient level-related factors. Our findings pose first and unique insights into the microbiota of the nine plateau lakes in Yunnan Plateau, providing important ecological knowledge for these lakes with different characteristics.
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Affiliation(s)
- Qi Liu
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, 650500, China
| | - Fengqin Chang
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, 650500, China
| | - Ping Xie
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, 650500, China; Donghu Experimental Station of Lake Ecosystems, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, CAS, Wuhan, 430072, China
| | - Yang Zhang
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, 650500, China
| | - Lizeng Duan
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, 650500, China
| | - Haoyu Li
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, 650500, China
| | - Xiaonan Zhang
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, 650500, China
| | - Yun Zhang
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, 650500, China
| | - Donglin Li
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, 650500, China
| | - Hucai Zhang
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, 650500, China.
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Wang C, Yao Z, Zhan P, Yi X, Chen J, Xiong J. Significant tipping points of sediment microeukaryotes forewarn increasing antibiotic pollution. J Environ Sci (China) 2023; 124:429-439. [PMID: 36182151 DOI: 10.1016/j.jes.2021.10.031] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 10/27/2021] [Accepted: 10/27/2021] [Indexed: 06/16/2023]
Abstract
Antibiotic pollution imposes urgent threats to public health and microbial-mediated ecological processes. Existing studies have primarily focused on bacterial responses to antibiotic pollution, but they ignored the microeukaryotic counterpart, though microeukaryotes are functionally important (e.g., predators and saprophytes) in microbial ecology. Herein, we explored how the assembly of sediment microeukaryotes was affected by increasing antibiotic pollution at the inlet (control) and across the outlet sites along a shrimp wastewater discharge channel. The structures of sediment microeukaryotic community were substantially altered by the increasing nutrient and antibiotic pollutions, which were primarily controlled by the direct effects of phosphate and ammonium (-0.645 and 0.507, respectively). In addition, tetracyclines exerted a large effect (0.209), including direct effect (0.326) and indirect effect (-0.117), on the microeukaryotic assembly. On the contrary, the fungal subcommunity was relatively resistant to antibiotic pollution. Segmented analysis depicted nonlinear responses of microeukaryotic genera to the antibiotic pollution gradient, as supported by the significant tipping points. We screened 30 antibiotic concentration-discriminatory taxa of microeukaryotes, which can quantitatively and accurately predict (98.7% accuracy) the in-situ antibiotic concentration. Sediment microeukaryotic (except fungal) community is sensitive to antibiotic pollution, and the identified bioindicators could be used for antibiotic pollution diagnosis.
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Affiliation(s)
- Chaohua Wang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo University, Ningbo 315211, China; School of Marine Sciences, Ningbo University, Ningbo 315211, China
| | - Zhiyuan Yao
- Institute of Ocean Engineering, Ningbo University, Ningbo 315211, China
| | - Pingping Zhan
- School of Marine Sciences, Ningbo University, Ningbo 315211, China
| | - Xianghua Yi
- Lanshion Marine Science and Technology Co., Ltd., Ningbo 315715, China
| | - Jiong Chen
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo University, Ningbo 315211, China; School of Marine Sciences, Ningbo University, Ningbo 315211, China
| | - Jinbo Xiong
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo University, Ningbo 315211, China; School of Marine Sciences, Ningbo University, Ningbo 315211, China.
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Shu W, Wang P, Xu Q, Zeng T, Ding M, Zhang H, Nie M, Huang G. Coupled effects of landscape structures and water chemistry on bacterioplankton communities at multi-spatial scales. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 811:151350. [PMID: 34728200 DOI: 10.1016/j.scitotenv.2021.151350] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 10/08/2021] [Accepted: 10/27/2021] [Indexed: 06/13/2023]
Abstract
Bacterioplankton communities in rivers are strongly influenced by the surrounding landscape, yet the relationships between land use and bacterioplankton communities at multi-spatial scales and the mechanisms that shape bacterioplankton communities remain unclear. Here, we collected surface water samples from 14 tributaries of the Yuan River, a secondary tributary of the Yangtze River, which has been heavily impacted by human activities. We characterized the bacterioplankton communities by high-throughput sequencing techniques, and managed to identify the mechanisms governing bacterioplankton community assembly. The results showed that, in general, both landscape compositions and landscape configurations had significant effects on bacterial communities, and the effects were greater at the buffer scale than at the sub-basin scale. Additionally, there was no distinct distance-decay pattern for the effects of landscape structures on bacterial communities from the near-distance (100 m) to the long-distance (1000 m) buffer zones, with the maximal effects occurring in the 1000 m circular buffer (wet season) and 500 m riparian buffer (dry season) zone, respectively. Land use influenced the bacterioplankton community both directly through exogenous inputs (mass effect) and indirectly by affecting water chemistry (species sorting). Variance partitioning analyses showed that the total explanations of bacterial community variations by water chemistry and the intersections of water chemistry and land use (56.2% in wet season and 50.4% in dry season) were higher than that of land use alone (6.1% in wet season and 25.4% in dry season). These suggest that mass effects and species sorting jointly shaped bacterial community assembly, but that the effects of species sorting outweighed those of mass effects. Nevertheless, more biotic and abiotic factors need to be considered to better understand the microbial assembly mechanisms in anthropogenically influenced riverine ecosystems.
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Affiliation(s)
- Wang Shu
- School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, Jiangxi, China; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Sino-Danish College of University of Chinese Academy of Sciences, Beijing 101408, China; Sino-Danish Centre for Education and Research, Beijing 101408, China
| | - Peng Wang
- School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, Jiangxi, China; Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, Jiangxi, China.
| | - Qiyu Xu
- School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, Jiangxi, China
| | - Ting Zeng
- School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, Jiangxi, China
| | - Minjun Ding
- School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, Jiangxi, China; Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, Jiangxi, China
| | - Hua Zhang
- School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, Jiangxi, China; Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, Jiangxi, China
| | - Minghua Nie
- School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, Jiangxi, China; Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, Jiangxi, China
| | - Gaoxiang Huang
- School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, Jiangxi, China; Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, Jiangxi, China
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Different Assembly Patterns of Planktonic and Sedimentary Bacterial Community in a Few Connected Eutrophic Lakes. WATER 2022. [DOI: 10.3390/w14050723] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The mechanism of bacterial community assembly has been the hot spot in the field of microbial ecology and it is difficult to quantitatively estimate the influences of different ecological processes. Here, a total of 23 pairs of planktonic and sedimentary samples were collected from five lakes in Wuhan, China. significant higher α-diversity (p < 0.001) and β-diversity (p < 0.001) of bacterial communities were observed in sediment than those in water. Some phylum had linear relationships with the comprehensive TSI (TSIc) by regression analysis. Non-metric multidimensional scaling (NMDS) and redundancy analysis (RDA) revealed that the depth of water, NO3−-N, NH4+-N, PO43−, and CODcr were the key environmental variables in planktonic bacterial communities, whereas in sediment they were the depth, NO3−-N, and NH4+-N. Furthermore, variation partitioning analysis (VPA) showed that spatial and environmental factors could only explain 40.2% and 27.9% of the variation in planktonic and sedimentary bacterial communities, respectively. More importantly, null model analysis suggested that different assembly mechanisms were found between in water and in sediment with the fact that planktonic bacterial community assembly was mainly driven by dispersal limitation process whereas variable selection process played a vital role in that of sediment.
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Peng X, Zhang L, Li Y, Lin Q, He C, Huang S, Li H, Zhang X, Liu B, Ge F, Zhou Q, Zhang Y, Wu Z. The changing characteristics of phytoplankton community and biomass in subtropical shallow lakes: Coupling effects of land use patterns and lake morphology. WATER RESEARCH 2021; 200:117235. [PMID: 34034101 DOI: 10.1016/j.watres.2021.117235] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 04/09/2021] [Accepted: 05/07/2021] [Indexed: 06/12/2023]
Abstract
The community composition and biomass of phytoplankton in shallow lakes are impacted by many environmental factors including water quality physicochemical parameters, land use in the watershed, and lake morphology. However, few studies have simultaneously evaluated the relative importance of these factors on the effect of community composition and biomass of phytoplankton. The relative importance of the water quality physicochemical parameters (water temperature [WT], total nitrogen [TN], total phosphorus [TP], pH, dissolved oxygen [DO], electrical conductivity [EC], turbidity and Secchi depth [SD]), land use (built-up land, farmland, waters, forest, grassland, and unused land) in the watershed, and lake morphology (area and depth) on the composition and biomass of phytoplankton communities were assessed in 29 subtropical shallow lakes in Wuhan, China, during different seasons from December 2017 to November 2018. The results showed that phytoplankton in all 29 lakes was mainly composed of Cyanophyta, Chlorophyta, and Bacillariophyta. Phytoplankton abundance was highest in summer and lowest in winter. We analyzed the relative importance of the three groups of variables to the community composition of the phytoplankton by variance decomposition. The results showed that the three groups of environmental variables had the highest explanation rate (> 80%) for the composition of the phytoplankton community in summer and autumn, and the explanation rates in spring and winter were 42.1% and 39.8%, respectively. The water quality physicochemical parameters were the most important variables affecting the composition of phytoplankton communities, followed by land use in the watershed. Through generalized additive model and structural equation model analysis, we found that the land use and lake morphology had minimal direct impact on the Chl-a and cell density of phytoplankton, mainly by altering the TN, TP, turbidity, SD, DO, and EC, which indirectly affected phytoplankton. WT and nutrients were still the main predictors of phytoplankton abundance. Built-up land was the main source of nitrogen and phosphorus in lakes. Correlation analysis found that forest and grassland had positive impacts on reducing lake nitrogen and phosphorus contents. This showed that increasing grassland and forest in the watershed could reduce the pollutants entering the lake. Our findings will contribute to water quality management and pollution control for subtropical shallow lakes.
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Affiliation(s)
- Xue Peng
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lu Zhang
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Yuan Li
- Wuhan Environmental Monitoring Center, Wuhan 430000, China
| | - Qingwei Lin
- Henan Normal University, College of Life Sciences, Xinxiang, 453007, China
| | - Chao He
- School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China
| | - Suzhen Huang
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hua Li
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Xinyi Zhang
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Biyun Liu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China.
| | - Fangjie Ge
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Qiaohong Zhou
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Yi Zhang
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Zhenbin Wu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
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11
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Quillaguamán J, Guzmán D, Campero M, Hoepfner C, Relos L, Mendieta D, Higdon SM, Eid D, Fernández CE. The microbiome of a polluted urban lake harbors pathogens with diverse antimicrobial resistance and virulence genes. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 273:116488. [PMID: 33485000 DOI: 10.1016/j.envpol.2021.116488] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 12/28/2020] [Accepted: 01/07/2021] [Indexed: 06/12/2023]
Abstract
Bacterial resistance to antibiotics is one of the greatest threats to the modern human population. Paradoxically, urban settlements are often culpable in generating such resistance by influencing the adaptation of bacterial communities via pollution of natural ecosystems. Urban lakes are well-known examples of this problem, as they often receive discharges of both domestic and industrial wastewater. In this study, we used shotgun metagenome sequencing to examine the microbial diversity of water and sediment samples of Lake Alalay, a polluted urban lake near Cochabamba, Bolivia. We found that Proteobacteria dominated the relative abundance of both water and sediment samples at levels over 25% and that a significant proportion of the microbial diversity could not be classified (about 9% in water and 22% in sediment). Further metagenomic investigation of antimicrobial resistance (AR) genes identified 277 and 150 AR genes in water and sediment samples, respectively. These included genes with functional annotations for resistance to fluoroquinolones, tetracyclines, phenicols, macrolides, beta-lactams, and rifamycin. A high number of genes involved in bacterial virulence also occurred in both water and sediment samples (169 and 283, respectively), where the virulence gene pscP normally found in the Pseudomonas aeruginosa type III secretion system had the highest relative abundance. Isolated and identified bacteria from water samples also revealed the presence of pathogenic bacteria among the microbiota of Lake Alalay. Seeing as most AR and virulence genes detected in this study are commonly described in nosocomial infections, we provide evidence suggesting that the microbial ecosystem of Lake Alalay presents a severe health risk to the surrounding population.
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Affiliation(s)
- Jorge Quillaguamán
- Center of Biotechnology, Faculty of Science and Technology, Universidad Mayor de San Simón, Cochabamba, Bolivia.
| | - Daniel Guzmán
- Center of Biotechnology, Faculty of Science and Technology, Universidad Mayor de San Simón, Cochabamba, Bolivia
| | - Melina Campero
- Center of Limnology and Aquatic Resources, Faculty of Science and Technology, Universidad Mayor de San Simón, Cochabamba, Bolivia
| | - Claudia Hoepfner
- Center of Biotechnology, Faculty of Science and Technology, Universidad Mayor de San Simón, Cochabamba, Bolivia
| | - Laura Relos
- Center of Biotechnology, Faculty of Science and Technology, Universidad Mayor de San Simón, Cochabamba, Bolivia
| | - Daniela Mendieta
- Center of Biotechnology, Faculty of Science and Technology, Universidad Mayor de San Simón, Cochabamba, Bolivia
| | - Shawn M Higdon
- Department of Plant Sciences, University of California, Davis, CA, 95616, United States
| | - Daniel Eid
- Institute of Biomedical Research and Social Research, Faculty of Medicine, Universidad Mayor de San Simón, Cochabamba, Bolivia
| | - Carla E Fernández
- Center of Limnology and Aquatic Resources, Faculty of Science and Technology, Universidad Mayor de San Simón, Cochabamba, Bolivia
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12
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Cao X, Xu X, Bian R, Wang Y, Yu H, Xu Y, Duan G, Bi L, Chen P, Gao S, Wang J, Peng J, Qu J. Sedimentary ancient DNA metabarcoding delineates the contrastingly temporal change of lake cyanobacterial communities. WATER RESEARCH 2020; 183:116077. [PMID: 32693300 DOI: 10.1016/j.watres.2020.116077] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 05/18/2020] [Accepted: 06/15/2020] [Indexed: 06/11/2023]
Abstract
Harmful cyanobacterial blooms consisting of toxic taxa can produce a wide variety of toxins to threaten water quality, ecosystem functions and services. Of greater concern was the changing patterns of cyanobacterial assemblage were not well understood due to the lack of long-term monitoring data over the temporal scale. Biodiversity change in cyanobacterial community and paleoenvironmental variables over the past 170 years in Lake Chenghai were investigated based on sedimentary ancient DNA metabarcoding and traditional paleolimnological analysis. The results showed species richness and homogenization of cyanobacterial assemblage increased in the most recent decades, which were synchronized with the growth of artificial fertilization and decline in precipitation. Cyanobacterial co-occurrence network analysis revealed more complex interactions and weak community stability after the change point of ∼1987, while the rare cyanobacterial genera such as Anabaena, Planktothrix, Oscillatoria and Microcystis were identified to be keystone taxa affecting cyanobacterial assemblage. Furthermore, an increase of toxin-producing cyanobacterial taxa was significantly and positively associated with TN and TP, as well as TN/IP and TN/TP, which was verified by quantitative real-time PCR of mcyA and rpoC1 genes. Threshold in total nitrogen (TN) concentration should be targeted no more than 0.60 mg/L to alleviate nuisance cyanobacterial blooms in Lake Chenghai. These findings reinforce the comprehensive understanding for the long-term dynamics of cyanobacterial assemblage responding to environmental change, which could contribute to proactively regulate environmental conditions for avoiding undesirable ecological consequences.
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Affiliation(s)
- Xiaofeng Cao
- Center for Water and Ecology, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Xiaoyan Xu
- School of Chemical & Environmental Engineering, China University of Mining & Technology-Beijing, Beijing, 100083, China
| | - Rui Bian
- School of Environment, Northeast Normal University, Changchun, 130117, China
| | - Yajun Wang
- Center for Water and Ecology, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Hongwei Yu
- Center for Water and Ecology, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Yan Xu
- Center for Water and Ecology, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Gaoqi Duan
- Center for Water and Ecology, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Lijiao Bi
- Center for Water and Ecology, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Pengfei Chen
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - Shaopeng Gao
- Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Jie Wang
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China
| | - Jianfeng Peng
- Center for Water and Ecology, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China.
| | - Jiuhui Qu
- Center for Water and Ecology, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
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13
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Wang B, Zheng X, Zhang H, Xiao F, He Z, Yan Q. Keystone taxa of water microbiome respond to environmental quality and predict water contamination. ENVIRONMENTAL RESEARCH 2020; 187:109666. [PMID: 32445949 DOI: 10.1016/j.envres.2020.109666] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 04/24/2020] [Accepted: 05/08/2020] [Indexed: 06/11/2023]
Abstract
The human activity introduces strong environmental stresses, and results in great spatiotemporal heterogeneity for the environment. Although the effects of environmental factors on the microbial diversity and succession have been widely studied, knowledge about how keystone taxa respond to environmental stresses remains poorly understood. We examined bacterial and archaeal communities from 45 wetland ponds covering a wide range of waters in Hangzhou. We found that shifts in bacterial and archaeal communities were strongly correlated with water pollution as indicated by the comprehensive water quality identification (CWQI). The SEGMENTED analysis suggested that there were non-linear responses of microbial communities and keystone taxa to the water pollution gradient. Moreover, these significant tipping points (e.g., CWQI > 4.0) would afford a warning line for urban wetland management. Notably, keystone taxa of bacterial communities could be used to successfully (~88.9% accuracy) predict water contamination levels. This study provides new insights into the potential for keystone bacterial taxa to predict water contamination.
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Affiliation(s)
- Binhao Wang
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Guangzhou, 510006, China
| | - Xiafei Zheng
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Guangzhou, 510006, China
| | - Hangjun Zhang
- College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, 310036, China
| | - Fanshu Xiao
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Guangzhou, 510006, China.
| | - Zhili He
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Guangzhou, 510006, China; College of Agronomy, Hunan Agricultural University, Changsha, 410128, China
| | - Qingyun Yan
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Guangzhou, 510006, China.
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14
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Xuan L, Sheng Z, Lu J, Qiu Q, Chen J, Xiong J. Bacterioplankton community responses and the potential ecological thresholds along disturbance gradients. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 696:134015. [PMID: 31470324 DOI: 10.1016/j.scitotenv.2019.134015] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2019] [Revised: 07/24/2019] [Accepted: 08/19/2019] [Indexed: 05/28/2023]
Abstract
Increasing intensity and frequency of coastal pollutions are the trajectory to be expected due to anthropogenic pressures. However, it is still unclear how and to what extent bacterioplankton communities respond to the two factors, despite the functional importance of bacterioplankton in biogeochemical cycles. In this study, significant organic pollution index (OPI) and offshore distance gradients, as respective proxies of disturbance intensity and disturbance frequency, were detected in a regional scale across the East China Sea. A multiple regression on matrices (MRM) revealed that the biogeography of bacterioplankton community depended on spatial scale, which was governed by local characters. Bacterioplankton community compositions (BCCs) were primarily governed by the conjointly direct (-0.28) and indirect (-0.48) effects of OPI, while offshore distance contributed a large indirectly effect (0.52). A SEGMENTED analysis depicted non-linear responses of BCCs to increasing disturbance intensity and disturbance frequency, as evidenced by significant tipping points. This was also true for the dominant bacterial phyla. Notably, we screened 30 OPI-discriminatory taxa that could quantitatively diagnose coastal OPI levels, with an overall 79.3% accuracy. Collectively, the buffer capacity of bacterioplankton communities to increasing disturbance intensity and disturbance frequency is limited, of which the significant tipping points afford a warning line for coastal management. In addition, coastal pollution level can be accurately diagnosed by a few OPI-discriminatory taxa.
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Affiliation(s)
- Lixia Xuan
- State Key Laboratory for Quality and Safety of Agro-products, Ningbo University, Ningbo 315211, China; School of Marine Sciences, Ningbo University, Ningbo 315211, China
| | - Zheliang Sheng
- School of Marine Sciences, Ningbo University, Ningbo 315211, China
| | - Jiaqi Lu
- State Key Laboratory for Quality and Safety of Agro-products, Ningbo University, Ningbo 315211, China; School of Marine Sciences, Ningbo University, Ningbo 315211, China
| | - Qiongfen Qiu
- School of Marine Sciences, Ningbo University, Ningbo 315211, China
| | - Jiong Chen
- State Key Laboratory for Quality and Safety of Agro-products, Ningbo University, Ningbo 315211, China; School of Marine Sciences, Ningbo University, Ningbo 315211, China
| | - Jinbo Xiong
- State Key Laboratory for Quality and Safety of Agro-products, Ningbo University, Ningbo 315211, China; School of Marine Sciences, Ningbo University, Ningbo 315211, China.
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15
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Kong Z, Kou W, Ma Y, Yu H, Ge G, Wu L. Seasonal dynamics of the bacterioplankton community in a large, shallow, highly dynamic freshwater lake. Can J Microbiol 2018; 64:786-797. [DOI: 10.1139/cjm-2018-0126] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The spatiotemporal shifts of the bacterioplankton community can mirror their transition of functional traits in an aquatic ecosystem. However, the spatiotemporal variation of the bacterioplankton community composition structure (BCCS) within a large, shallow, highly dynamic freshwater lake is still poorly understood. Here, we examined the seasonal and spatial variability of the BCCs within Poyang Lake by sequencing the 16S rRNA gene amplicon to explore how hydrological changes affect the BCCs. Principal coordinate analysis showed that the BCCs varied significantly among four sampling seasons, but not spatially. The seasonal changes of the BCCs were mainly attributed to the differences between autumn and spring–winter. Higher α diversity indices were observed in autumn. Redundancy analysis indicated that the BCCs co-variated with water level, pH, temperature, total phosphorus, ammoniacal nitrogen, electrical conductivity, total nitrogen, and turbidity. Among them, water level was the key determinant separating autumn BCCs from the BCCs in other seasons. A significantly lower relative abundance of Burkholderiales (betI and betVII) and a higher relative abundance of Actinomycetales (acI, acTH1, and acTH2) were found in autumn than in other seasons. Overall, our results suggest that water level changes associated with pH, temperature, and nutrient status shaped the seasonal patterns of the BCCs within Poyang Lake.
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Affiliation(s)
- Zhaoyu Kong
- School of Life Science, Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, Nanchang University, Nanchang 330031, China
- Key Laboratory of Aquatic Resources and Utilization of Jiangxi, Nanchang University, Nanchang 330022, China
| | - Wenbo Kou
- School of Life Science, Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, Nanchang University, Nanchang 330031, China
| | - Yantian Ma
- School of Life Science, Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, Nanchang University, Nanchang 330031, China
| | - Haotian Yu
- School of Life Science, Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, Nanchang University, Nanchang 330031, China
| | - Gang Ge
- School of Life Science, Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, Nanchang University, Nanchang 330031, China
| | - Lan Wu
- School of Life Science, Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, Nanchang University, Nanchang 330031, China
- Key Laboratory of Aquatic Resources and Utilization of Jiangxi, Nanchang University, Nanchang 330022, China
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16
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Cao X, Chai L, Jiang D, Wang J, Liu Y, Huang Y. Loss of biodiversity alters ecosystem function in freshwater streams: potential evidence from benthic macroinvertebrates. Ecosphere 2018. [DOI: 10.1002/ecs2.2445] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Affiliation(s)
- Xiaofeng Cao
- College of Environmental Science and Engineering; Peking University; Beijing 100871 China
| | - Liwei Chai
- College of Environmental Science and Engineering; Peking University; Beijing 100871 China
| | - Dalin Jiang
- Graduate school of Life and Environmental Sciences; University of Tsukuba; Tsukuba Ibaraki 305-8572 Japan
| | - Jie Wang
- Department of Environmental Sciences; University of California; Riverside California 92521 USA
| | - Yanqiu Liu
- College of Environmental Science and Engineering; Peking University; Beijing 100871 China
| | - Yi Huang
- College of Environmental Science and Engineering; Peking University; Beijing 100871 China
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17
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Ji B, Qin H, Guo S, Chen W, Zhang X, Liang J. Bacterial communities of four adjacent fresh lakes at different trophic status. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2018; 157:388-394. [PMID: 29649784 DOI: 10.1016/j.ecoenv.2018.03.086] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2018] [Revised: 03/26/2018] [Accepted: 03/28/2018] [Indexed: 05/20/2023]
Abstract
Knowing the microbial compositions in fresh lakes is significant to explore the mechanisms of eutrophication and algal blooms. This study reported on the bacterial communities of the four adjacent fresh lakes at different trophic status by Illumina MiSeq Platform, which were Tangxun Lake (J1), Qingling Lake (J2), Huangjia Lake (J3) and Niushan Lake (J4) in Wuhan, China. J1 had the highest salinity and phosphorus. J2 was abundant in TC (Total Carbon)/TOC (Total Organic Carbon.), calcium and magnesium. J3 had the highest content of nitrogen, iron and pollution of heavy metals. High-throughput sequencing analysis of the 16S rRNA gene revealed that the eutrophic lakes (J1, J2 and J3) were dominated by Cyanobacteria (46.1% for J1, 40.8% for J2, 33.4% for J3) and the oligotrophic lake (J4) was dominated by Actinobacteria (34.2%). An increase of Cyanobacteria could inhibit the growth of Proteobacteria, Actinobacteria and Bacteroidetes. Functional inferences from 16S rRNA sequences suggested that J4 had more abundant bacteria with regard to substrate metabolism than J1, J2, and J3. Burkholderia and Fluviicola might be a suggestion of good water quality. The results demonstrated that the bacterial community could well reflect the water quality of the four lakes.
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Affiliation(s)
- Bin Ji
- School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China; Hubei Key Laboratory of Regional Development and Environmental Response (Hubei University), Wuhan 430062, China.
| | - Hui Qin
- School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Shaodong Guo
- School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Wei Chen
- School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Xuechun Zhang
- School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Jiechao Liang
- School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China
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18
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Liu K, Liu Y, Jiao N, Xu B, Gu Z, Xing T, Xiong J. Bacterial community composition and diversity in Kalakuli, an alpine glacial-fed lake in Muztagh Ata of the westernmost Tibetan Plateau. FEMS Microbiol Ecol 2017; 93:3906652. [PMID: 28854676 DOI: 10.1093/femsec/fix085] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Accepted: 06/26/2017] [Indexed: 11/13/2022] Open
Abstract
It is widely accepted that bacterial community composition and diversity in remote alpine lakes are structured by environmental conditions such as nutrient status and temperature. However, the mechanisms that underlie and structure bacterial community composition and diversity in alpine lakes remain unclear. We used 16S rRNA gene-based Illumina MiSeq sequencing to investigate the complex ecological interactions between bacterial communities and nutrient status in Kalakuli Lake, an alpine glacial-fed lake in Muztagh Ata of the westernmost Tibetan Plateau. Our results indicated that the bacterial community was dominated by the Actinobacteria and Proteobacteria. The results of threshold estimates showed that there were apparent shifts in dominance from the Proteobacteria to Actinobacteria groups associated with increasing carbon to nitrogen (C:N) ratio, and the change points were 6.794 and 2.448, respectively. Using multiple statistical methods, we found that the abiotic factors of dissolved organic carbon and total nitrogen had substantial impacts on bacterial diversity, while bacterial community compositions were significantly correlated with both the biotic element of bacterial abundance and the abiotic ones, temperature and pH. These findings demonstrated that the C:N ratio played a significant role in shifting dominant bacterial assemblages in the Kalakuli watershed and provided evidence of nutrients affecting bacterial community composition and diversity. We argue that this study could further shed light on how climate change-induced glacial retreat may impact bacterial communities in glacial-fed lakes under future global warming scenarios.
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Affiliation(s)
- Keshao Liu
- Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100101, China
| | - Yongqin Liu
- Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100101, China.,CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China
| | - Nianzhi Jiao
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361005, China
| | - Baiqing Xu
- Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100101, China.,CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhengquan Gu
- University of Chinese Academy of Sciences, Beijing 100101, China.,Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 1000101, China
| | - Tingting Xing
- Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 1000101, China
| | - Jinbo Xiong
- School of Marine Sciences, Ningbo University, Ningbo 315211, China.,Collaborative Innovation Center for Zhejiang Marine High-Efficiency and Healthy Aquaculture, Ningbo 315211, China
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