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Chen CZ, Yin MH, Niu LJ, Wang JX, Liu L, Sun YJ, Ju WM, Li P, Li ZH. Exploring seasonal variations, assembly dynamics, and relationships of bacterial communities in different habitats of marine ranching. MARINE POLLUTION BULLETIN 2024; 205:116658. [PMID: 38964192 DOI: 10.1016/j.marpolbul.2024.116658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 06/22/2024] [Accepted: 06/25/2024] [Indexed: 07/06/2024]
Abstract
Offshore coastal marine ranching ecosystems provide habitat for diverse and active bacterial communities. In this study, 16S rRNA gene sequencing and multiple bioinformatics methods were applied to investigate assembly dynamics and relationships in different habitats. The higher number of edges in the water network, more balanced ratio of positive and negative links, and more keystone species included in the co-occurrence network of water. Stochastic processes dominated in shaping gut and sediment community assembly (R2 < 0.5), while water bacterial community assembly were dominated by deterministic processes (R2 > 0.5). Dissimilarity-overlap curve model indicated that the communities in different habitats have general dynamics and interspecific interaction (P < 0.001). Bacterial source-tracking analysis revealed that the gut was more similar to the sediment than the water bacterial communities. In summary, this study provides basic data for the ecological study of marine ranching through the study of bacterial community dynamics.
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Affiliation(s)
| | - Ming-Hao Yin
- Marine College, Shandong University, Weihai, Shandong 264209, China
| | - Lin-Jing Niu
- Marine College, Shandong University, Weihai, Shandong 264209, China
| | - Jin-Xin Wang
- Marine College, Shandong University, Weihai, Shandong 264209, China
| | - Ling Liu
- Marine College, Shandong University, Weihai, Shandong 264209, China.
| | - Yong-Jun Sun
- Homey Group Co. Ltd, Rongcheng, Shandong 264306, China
| | - Wen-Ming Ju
- Homey Group Co. Ltd, Rongcheng, Shandong 264306, China
| | - Ping Li
- Marine College, Shandong University, Weihai, Shandong 264209, China
| | - Zhi-Hua Li
- Marine College, Shandong University, Weihai, Shandong 264209, China.
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2
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Bute TF, Wyness A, Wasserman RJ, Dondofema F, Keates C, Dalu T. Microbial community and extracellular polymeric substance dynamics in arid-zone temporary pan ecosystems. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 932:173059. [PMID: 38723976 DOI: 10.1016/j.scitotenv.2024.173059] [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: 10/25/2023] [Revised: 05/04/2024] [Accepted: 05/06/2024] [Indexed: 05/12/2024]
Abstract
Microbial extracellular polymeric substances (EPS) are an important component in sediment ecology. However, most research is highly skewed towards the northern hemisphere and in more permanent systems. This paper investigates EPS (i.e., carbohydrates and proteins) dynamics in arid Austral zone temporary pans sediments. Colorimetric methods and sequence-based metagenomics techniques were employed in a series of small temporary pan ecosystems characterised by alternating wet and dry hydroperiods. Microbial community patterns of distribution were evaluated between seasons (hot-wet and cool-dry) and across depths (and inferred inundation period) based on estimated elevation. Carbohydrates generally occurred in relatively higher proportions than proteins; the carbohydrate:protein ratio was 2.8:1 and 1.6:1 for the dry and wet season respectively, suggesting that EPS found in these systems was largely diatom produced. The wet- hydroperiods (Carbohydrate mean 102 μg g-1; Protein mean 65 μg g-1) supported more EPS production as compared to the dry- hydroperiods (Carbohydrate mean 73 μg g-1; Protein mean 26 μg g-1). A total of 15,042 Unique Amplicon Sequence Variants (ASVs) were allocated to 51 bacterial phyla and 1127 genera. The most abundant genera had commonality in high temperature tolerance, with Firmicutes, Actinobacteria and Proteobacteria in high abundances. Microbial communities were more distinct between seasons compared to within seasons which further suggested that the observed metagenome functions could be seasonally driven. This study's findings implied that there were high levels of denitrification by mostly nitric oxide reductase and nitrite reductase enzymes. EPS production was high in the hot-wet season as compared to relatively lower rates of nitrification in the cool-dry season by ammonia monooxygenases. Both EPS quantities and metagenome functions were highly associated with availability of water, with high rates being mainly associated with wet- hydroperiods compared to dry- hydroperiods. These data suggest that extended dry periods threaten microbially mediated processes in temporary wetlands, with implications to loss of biodiversity by desiccation.
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Affiliation(s)
- Tafara F Bute
- Department of Zoology and Entomology, Rhodes University, Makhanda 6140, South Africa.
| | - Adam Wyness
- Department of Zoology and Entomology, Rhodes University, Makhanda 6140, South Africa; Scottish Association for Marine Science, Oban PA37 1QA, United Kingdom
| | - Ryan J Wasserman
- Department of Zoology and Entomology, Rhodes University, Makhanda 6140, South Africa; South African Institute for Aquatic Biodiversity, Makhanda 6140, South Africa
| | - Farai Dondofema
- Department of Geography and Environmental Sciences, University of Venda, Thohoyandou 0950, South Africa
| | - Chad Keates
- Department of Zoology and Entomology, Rhodes University, Makhanda 6140, South Africa; South African Institute for Aquatic Biodiversity, Makhanda 6140, South Africa
| | - Tatenda Dalu
- South African Institute for Aquatic Biodiversity, Makhanda 6140, South Africa; School of Biology and Environmental Sciences, University of Mpumalanga, Nelspruit 1200, South Africa
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Wei H, Liu C, Cui X, Shen Z, Wang J. Distribution characteristics of microorganisms in sediments of Dagu River and their biological indicator function for evaluating eco-environmental quality of rural river. ENVIRONMENTAL RESEARCH 2024; 245:118032. [PMID: 38159669 DOI: 10.1016/j.envres.2023.118032] [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: 10/30/2023] [Revised: 12/20/2023] [Accepted: 12/22/2023] [Indexed: 01/03/2024]
Abstract
The microorganisms in sediments play a crucial role in biogeochemical cycle processes, and numerous studies have shown that microbial community is closely related to environmental factors. However, the usability of sediment microorganisms to evaluate the eco-environment quality of rural rivers has not been adequately explored. This study investigated the distribution characteristics and response of sediment microorganisms to environmental parameters and benthic organisms. Based on the environmental parameters and benthic community indices, the 12 stations were divided into high-polluted group A, moderate-polluted group B and low-polluted group C. Station DG01 and DG02 in group A had the highest level of As and Ni pollution and nutrient concentration, and DG09 in group A had the lowest benthic diversity. Correspondingly, group A had the lowest abundance of Proteobacteria, which has a higher requirement for the environment than Planctomycetes. Group B had the highest sulfide level (97.45 mg/kg), and bacteria (Thiobacillus, Sulfurisoma and Sulfuritalea) with genes involved in sulfur cycling were more enriched in this group. Group C had the lowest level of total nitrogen (243.36 mg/kg), and Rhodanobacteraceae in Xanthomonadales might be a key bioindicator for low nitrogen. In addition, Chlorophyta was found to be more susceptible to heavy metals, and moreover co-occurrence networks showed that microeukaryotes were more sensitive to heavy metal pollution compared to benthic animals and prokaryotes. Therefore, this study suggested that benthic microorganisms especially microeukaryotes could be used as good indicators for evaluating the eco-environmental quality of rural rivers.
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Affiliation(s)
- Hongqing Wei
- College of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China
| | - Cong Liu
- College of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China
| | - Xumeng Cui
- College of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China
| | - Zhonghua Shen
- College of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China; Shandong Bureau Test Center of China General Administration of Metallurgical Geology, Jinan, 250013, China.
| | - Jun Wang
- College of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China.
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Yue Y, Yang Z, Wang F, Chen X, Huang Y, Ma J, Cai L, Yang M. Effects of Cascade Reservoirs on Spatiotemporal Dynamics of the Sedimentary Bacterial Community: Co-occurrence Patterns, Assembly Mechanisms, and Potential Functions. MICROBIAL ECOLOGY 2023; 87:18. [PMID: 38112791 DOI: 10.1007/s00248-023-02327-2] [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: 06/13/2023] [Accepted: 12/03/2023] [Indexed: 12/21/2023]
Abstract
Dam construction as an important anthropogenic activity significantly influences ecological processes in altered freshwater bodies. However, the effects of multiple cascade dams on microbial communities have been largely overlooked. In this study, the spatiotemporal distribution, co-occurrence relationships, assembly mechanisms, and functional profiles of sedimentary bacterial communities were systematically investigated in 12 cascade reservoirs across two typical karst basins in southwest China over four seasons. A significant spatiotemporal heterogeneity was observed in bacterial abundance and diversity. Co-occurrence patterns in the Wujiang Basin exhibited greater edge counts, graph density, average degree, robustness, and reduced modularity, suggesting more intimate and stronger ecological interactions among species than in the Pearl River Basin. Furthermore, Armatimonadota and Desulfobacterota, identified as keystone species, occupied a more prominent niche than the dominant species. A notable distance-decay relationship between geographical distance and community dissimilarities was identified in the Pearl River Basin. Importantly, in the Wujiang Basin, water temperature emerged as the primary seasonal variable steering the deterministic process of bacterial communities, whereas 58.5% of the explained community variance in the neutral community model (NCM) indicated that stochastic processes governed community assembly in the Pearl River Basin. Additionally, principal component analysis (PCA) revealed more pronounced seasonal dynamics in nitrogen functional compositions than spatial variation in the Wujiang Basin. Redundancy analysis (RDA) results indicated that in the Wujiang Basin, environmental factors and in Pearl River Basin, geographical distance, reservoir age, and hydraulic retention time (HRT), respectively, influenced the abundance of nitrogen-related genes. Notably, these findings offer novel insights: building multiple cascade reservoirs could lead to a cascading decrease in biodiversity and resilience in the river-reservoir ecosystem.
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Affiliation(s)
- Yihong Yue
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, China
- National Research Center for Edible Fungi Biotechnology and Engineering, Key Laboratory of Applied Mycological Resources and Utilization, Ministry of Agriculture, Shanghai Key Laboratory of Agricultural Genetics and Breeding, Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences, Shanghai, China
| | - Zhihong Yang
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, China
| | - Fushun Wang
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, China
| | - Xueping Chen
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, China
| | - Yuxin Huang
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, China
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, China
| | - Jing Ma
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, China
| | - Ling Cai
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, China.
- Observation and Research Station of Island and Coastal Ecosystems in the Western Taiwan Strait, Ministry of Natural Resources, Xiamen, China.
| | - Ming Yang
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, China.
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5
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de Paula M, da Costa TA, Silva, Soriano AAB, Lacorte GA. Spatial distribution of sediment bacterial communities from São Francisco River headwaters is influenced by human land-use activities and seasonal climate shifts. Braz J Microbiol 2023; 54:3005-3019. [PMID: 37910306 PMCID: PMC10689647 DOI: 10.1007/s42770-023-01150-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 10/05/2023] [Indexed: 11/03/2023] Open
Abstract
Riverbed sediments are dynamic freshwater environments colonized by a great diversity of microorganisms which play important roles in supporting freshwater ecosystem by performing a vast array of metabolic functions. Recent evidence generated by HTS approaches has revealed that the structure of sediment microbial communities is influenced by natural seasonal variations in water such as temperature or streamflow as well by disturbances caused by local human activities. Here, a spatiotemporal analysis of sediment microbial distribution from São Francisco River headwaters section was conducted using Illumina 16S rRNA-V4 region amplicon sequencing in order to accomplish three major goals: (i) to investigate whether the diversity and composition of bacterial communities accessed in riverbed sediments vary in response to distinct land-use activities; (ii) to estimate whether the diversity patterns vary between the dry and wet seasons; and (iii) to evaluate whether the diversity of bacterial metabolic functions, predicted by PICRUSt2 approach, varies similarly to the estimated taxonomic diversity. Our findings revealed that bacterial communities in the sediment show differences in diversity and taxonomic composition according to the anthropic activities performed in the local environment. However, the patterns in which this taxonomic diversity is spatially structured show differences between the dry and wet seasons. On the other hand, the most changes in predicted bacterial metabolic functions were verified between sediment samples accessed in portions of the river located in protected and unprotected areas. Our findings contributed with new evidence about the impact of typical land-use practices conducted in countryside landscapes from developing countries on riverbed bacterial communities, both in their taxonomic and functional structure.
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Affiliation(s)
- Marcos de Paula
- Bambuí Campus, Federal Institute of Minas Gerais, Bambuí, Minas Gerais State, Brazil
| | | | - Silva
- Bambuí Campus, Federal Institute of Minas Gerais, Bambuí, Minas Gerais State, Brazil
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Wu P, Liu Y, Li C, Zheng Q, Hong Y, Wu J, Xu S, Lin L, Xiao Y, Wang T, Liu Y. Distribution and co-occurrence networks of the bacterial community in sediment cores from the subtropical Daya Bay, China. MARINE POLLUTION BULLETIN 2023; 196:115580. [PMID: 37801799 DOI: 10.1016/j.marpolbul.2023.115580] [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: 06/08/2023] [Revised: 08/01/2023] [Accepted: 09/21/2023] [Indexed: 10/08/2023]
Abstract
The bacterial community plays an important role in biogeochemical cycles in marine sediment. However, little is known about the vertical profiles and co-occurrence patterns of bacterial community in sediment cores from the marine environment. In this study, five sediment cores were taken from a subtropical bay in China, heavily impacted by anthropogenic activities. The bacterial composition in sediment cores was investigated by using high-throughput sequencing of the 16S rRNA gene. A principal coordinates analysis and an adonis analysis of the operational taxonomic unit (OTU) compositions showed that spatial variation, rather than vertical variation, determined the bacterial structure in sediment cores. The bacterial complexity varied greatly across the five sediment cores, and the rare taxa played an important role in supporting the stability of the bacterial network. This study revealed that sediment properties and anthropogenic activities may induce a shift in the bacterial composition in sediment cores of a subtropical bay.
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Affiliation(s)
- Peng Wu
- Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Guangzhou 510300, China; Scientific Observation and Research Station of Pearl River Estuary Ecosystem of Guangdong Province, Guangzhou 510300, China; Observation and Research Station of Xisha Island Reef Fishery Ecosystem of Hainan Province/Key Laboratory of Efficient Utilization and Processing of Marine Fishery Resources of Hainan Province/Sanya Tropical Fisheries Research Institute, Sanya, Hainan 572018, China; Guangdong Provincial Key Laboratory of Fishery Ecology Environment, Guangzhou 510300, China; National Agricultural Experimental Station for Fishery Resources and Environment Dapeng, Shenzhen, China
| | - Yong Liu
- Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Guangzhou 510300, China; Scientific Observation and Research Station of Pearl River Estuary Ecosystem of Guangdong Province, Guangzhou 510300, China; Observation and Research Station of Xisha Island Reef Fishery Ecosystem of Hainan Province/Key Laboratory of Efficient Utilization and Processing of Marine Fishery Resources of Hainan Province/Sanya Tropical Fisheries Research Institute, Sanya, Hainan 572018, China; Guangdong Provincial Key Laboratory of Fishery Ecology Environment, Guangzhou 510300, China; National Agricultural Experimental Station for Fishery Resources and Environment Dapeng, Shenzhen, China.
| | - Chunhou Li
- Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Guangzhou 510300, China; Scientific Observation and Research Station of Pearl River Estuary Ecosystem of Guangdong Province, Guangzhou 510300, China; Observation and Research Station of Xisha Island Reef Fishery Ecosystem of Hainan Province/Key Laboratory of Efficient Utilization and Processing of Marine Fishery Resources of Hainan Province/Sanya Tropical Fisheries Research Institute, Sanya, Hainan 572018, China; Guangdong Provincial Key Laboratory of Fishery Ecology Environment, Guangzhou 510300, China; National Agricultural Experimental Station for Fishery Resources and Environment Dapeng, Shenzhen, China.
| | - Qiushi Zheng
- Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Guangzhou 510300, China
| | - Yiguo Hong
- Institute of Environmental Research at Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China
| | - Jiapeng Wu
- Institute of Environmental Research at Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China
| | - Shannan Xu
- Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Guangzhou 510300, China; Scientific Observation and Research Station of Pearl River Estuary Ecosystem of Guangdong Province, Guangzhou 510300, China; Observation and Research Station of Xisha Island Reef Fishery Ecosystem of Hainan Province/Key Laboratory of Efficient Utilization and Processing of Marine Fishery Resources of Hainan Province/Sanya Tropical Fisheries Research Institute, Sanya, Hainan 572018, China; Guangdong Provincial Key Laboratory of Fishery Ecology Environment, Guangzhou 510300, China; National Agricultural Experimental Station for Fishery Resources and Environment Dapeng, Shenzhen, China
| | - Lin Lin
- Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Guangzhou 510300, China; Scientific Observation and Research Station of Pearl River Estuary Ecosystem of Guangdong Province, Guangzhou 510300, China; Guangdong Provincial Key Laboratory of Fishery Ecology Environment, Guangzhou 510300, China; National Agricultural Experimental Station for Fishery Resources and Environment Dapeng, Shenzhen, China
| | - Yayuan Xiao
- Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Guangzhou 510300, China; Scientific Observation and Research Station of Pearl River Estuary Ecosystem of Guangdong Province, Guangzhou 510300, China; Guangdong Provincial Key Laboratory of Fishery Ecology Environment, Guangzhou 510300, China; National Agricultural Experimental Station for Fishery Resources and Environment Dapeng, Shenzhen, China
| | - Teng Wang
- Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Guangzhou 510300, China; Scientific Observation and Research Station of Pearl River Estuary Ecosystem of Guangdong Province, Guangzhou 510300, China; Observation and Research Station of Xisha Island Reef Fishery Ecosystem of Hainan Province/Key Laboratory of Efficient Utilization and Processing of Marine Fishery Resources of Hainan Province/Sanya Tropical Fisheries Research Institute, Sanya, Hainan 572018, China; Guangdong Provincial Key Laboratory of Fishery Ecology Environment, Guangzhou 510300, China; National Agricultural Experimental Station for Fishery Resources and Environment Dapeng, Shenzhen, China
| | - Yu Liu
- Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Guangzhou 510300, China; Scientific Observation and Research Station of Pearl River Estuary Ecosystem of Guangdong Province, Guangzhou 510300, China; Guangdong Provincial Key Laboratory of Fishery Ecology Environment, Guangzhou 510300, China; National Agricultural Experimental Station for Fishery Resources and Environment Dapeng, Shenzhen, China
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7
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VanMensel D, Chaganti SR, Droppo IG, Weisener CG. Microbe-sediment interactions in Great Lakes recreational waters: Implications for human health risk. Environ Microbiol 2023; 25:1605-1623. [PMID: 36998158 DOI: 10.1111/1462-2920.16378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 03/19/2023] [Indexed: 04/01/2023]
Abstract
Microbial assessments of recreational water have traditionally focused on culturing or DNA-based approaches of the planktonic water column, omitting influence from microbe-sediment relationships. Sediment (bed and suspended) has been shown to often harbour levels of bacteria higher than the planktonic phase. The fate of suspended sediment (SS) bacteria is extensively related to transport dynamics (e.g., deposition) of the associated sediment/floc. When hydraulic energy allows, SS will settle, introducing new (potentially pathogenic) organisms to the bed. With turbulence, including waves, currents and swimmers, the risk of human ingestion is elevated due to resuspension of bed sediment and associated microbes. This research used multiplex nanofluidic reverse transcriptase quantitative PCR on RNA of bacteria associated with bed and SS to explore the active bacteria in freshwater shorelines. Bacterial genes of human health concern regarding recreational water use were targeted, such as faecal indicator bacteria (FIB), microbial source tracking genes and virulence factors from waterborne pathogens. Results indicate avian sources (i.e., gulls, geese) to be the largest nonpoint source of FIB associated with sediment in Great Lakes shorelines. This research introduces a novel approach to microbial water quality assessments and enhances our understanding of microbe-sediment dynamics and the quality of freshwater beaches.
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Affiliation(s)
- Danielle VanMensel
- Great Lakes Institute for Environmental Research, University of Windsor, 401 Sunset Avenue, N9B 3P4, Windsor, Ontario, Canada
| | - Subba Rao Chaganti
- Cooperative Institute for Great Lakes Research, University of Michigan, 4840 South State Street, Ann Arbor, Michigan, 48108, USA
| | - Ian G Droppo
- Great Lakes Institute for Environmental Research, University of Windsor, 401 Sunset Avenue, N9B 3P4, Windsor, Ontario, Canada
| | - Christopher G Weisener
- Great Lakes Institute for Environmental Research, University of Windsor, 401 Sunset Avenue, N9B 3P4, Windsor, Ontario, Canada
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8
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An L, Yan YC, Tian HL, Chi CQ, Nie Y, Wu XL. Roles of sulfate-reducing bacteria in sustaining the diversity and stability of marine bacterial community. Front Microbiol 2023; 14:1218828. [PMID: 37637129 PMCID: PMC10448053 DOI: 10.3389/fmicb.2023.1218828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 07/25/2023] [Indexed: 08/29/2023] Open
Abstract
Microbes play central roles in ocean food webs and global biogeochemical processes. Yet, the information available regarding the highly diverse bacterial communities in these systems is not comprehensive. Here we investigated the diversity, assembly process, and species coexistence frequency of bacterial communities in seawater and sediment across ∼600 km of the eastern Chinese marginal seas using 16S rRNA gene amplicon sequencing. Our analyses showed that compared with seawater, bacterial communities in sediment possessed higher diversity and experienced tight phylogenetic distribution. Neutral model analysis showed that the relative contribution of stochastic processes to the assembly process of bacterial communities in sediment was lower than that in seawater. Functional prediction results showed that sulfate-reducing bacteria (SRB) were enriched in the core bacterial sub-communities. The bacterial diversities of both sediment and seawater were positively associated with the relative abundance of SRB. Co-occurrence analysis showed that bacteria in seawater exhibited a more complex interaction network and closer co-occurrence relationships than those in sediment. The SRB of seawater were centrally located in the network and played an essential role in sustaining the complex network. In addition, further analysis indicated that the SRB of seawater helped maintain the high stability of the bacterial network. Overall, this study provided further comprehensive information regarding the characteristics of bacterial communities in the ocean, and provides new insights into keystone taxa and their roles in sustaining microbial diversity and stability in ocean.
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Affiliation(s)
- Liyun An
- College of Architecture and Environment, Sichuan University, Chengdu, China
| | - Ying-Chun Yan
- College of Architecture and Environment, Sichuan University, Chengdu, China
| | - Hai-Long Tian
- College of Agriculture, Henan University, Kaifeng, China
| | - Chang-Qiao Chi
- College of Engineering, Peking University, Beijing, China
| | - Yong Nie
- College of Engineering, Peking University, Beijing, China
| | - Xiao-Lei Wu
- College of Engineering, Peking University, Beijing, China
- Institute of Ocean Research, Peking University, Beijing, China
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9
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Guo Z, Li Y, Shao M, Sun T, Lin M, Zhang T, Hu K, Jiang H, Guan X. Succession and environmental response of sediment bacterial communities in the Liao River Estuary at the centenary scale. MARINE ENVIRONMENTAL RESEARCH 2023; 188:105980. [PMID: 37141709 DOI: 10.1016/j.marenvres.2023.105980] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 03/09/2023] [Accepted: 04/09/2023] [Indexed: 05/06/2023]
Abstract
Microbial community succession in turbulent estuarine environments is key to the understanding of microbial community development in estuaries. Centennial-scale sediment core samples collected from the Liao River Estuary (LRE) channel bar and side beaches were studied for geochemistry and 16S rRNA gene-based bacterial analyses. The results showed that bacterial community composition significantly differed between the sediments of the two sides of the channel bar, with Campilobacterota and Bacteroidota being dominant bacterial phyla in the tributary (T1, T2) and mainstream (MS1, MS2) sediment, respectively. Co-occurrence network of the bacterial community at the genus level showed more centralized and compacted topological features in tributary with weaker hydrodynamic, and the keystone taxas were Halioglobus, Luteolibacter, and Lutibacter in the bacterial community. The bacterial network structure had more edges and larger average degree in LRE sediments from the stage of the year 2016-2009 and the stage before 1939, which was possibly related to hydrodynamic conditions and nutrients. Stochastic processes (dispersal limitation) were the key factors driving bacterial community assembly in the LRE sediments. In addition, total organic carbon (TOC), total sulfur (TS), and grain size were the main deterministic factors affecting the change of bacterial community structure. Relative microbial abundance has the potential to indicate geologically historical environmental changes. This study provided a new perspective to reveal the succession and response of bacterial communities under frequent fluctuation environments.
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Affiliation(s)
- Zining Guo
- School of Ocean Sciences, China University of Geosciences, Beijing, 100083, China
| | - Yan Li
- School of Ocean Sciences, China University of Geosciences, Beijing, 100083, China
| | - Mengqi Shao
- School of Ocean Sciences, China University of Geosciences, Beijing, 100083, China
| | - Tongxin Sun
- School of Ocean Sciences, China University of Geosciences, Beijing, 100083, China
| | - Mengping Lin
- School of Ocean Sciences, China University of Geosciences, Beijing, 100083, China
| | - Tie Zhang
- Panjin Natural Resources Service Center, Bureau of Natural Resources of Panjin, Panjin, 120010, China
| | - Ke Hu
- School of Ocean Sciences, China University of Geosciences, Beijing, 100083, China
| | - Hongchen Jiang
- School of Ocean Sciences, China University of Geosciences, Beijing, 100083, China.
| | - Xiangyu Guan
- School of Ocean Sciences, China University of Geosciences, Beijing, 100083, China.
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10
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Determinants and Assembly Mechanism of Bacterial Community Structure in Ningxia Section of the Yellow River. Microorganisms 2023; 11:microorganisms11020496. [PMID: 36838461 PMCID: PMC9967387 DOI: 10.3390/microorganisms11020496] [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: 01/31/2023] [Revised: 02/10/2023] [Accepted: 02/13/2023] [Indexed: 02/18/2023] Open
Abstract
The Yellow River is a valuable resource in the Ningxia Hui Autonomous Region and plays a vital role in local human activities and biodiversity. Bacteria are a crucial component of river ecosystems, but the driving factors and assembly mechanisms of bacterial community structure in this region remain unclear. Herein, we documented the bacterial community composition, determinants, co-occurrence pattern, and assembly mechanism for surface water and sediment. In comparison to sediment, the bacterioplankton community showed significant seasonal variation, as well as less diversity and abundance. The network topology parameters indicated that the sediment bacterial network was more stable than water, but the bacterioplankton network had higher connectivity. In this lotic ecosystem, CODMn, Chl a, and pH affected the structure of the bacterioplankton community, while TP was the primary factor influencing the structure of the sediment bacterial community. The combined results of the neutral community model and the phylogenetic null model indicate that Bacterial communities in both habitats were mainly affected by stochastic processes, with ecological processes dominated by ecological drift for bacterioplankton and dispersal limitation for sediment bacteria. These results provide essential insights into future research on microbial ecology, environmental monitoring, and classified management in the Ningxia section of the Yellow River.
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Lalzar M, Zvi-Kedem T, Kroin Y, Martinez S, Tchernov D, Meron D. Sediment Microbiota as a Proxy of Environmental Health: Discovering Inter- and Intrakingdom Dynamics along the Eastern Mediterranean Continental Shelf. Microbiol Spectr 2023; 11:e0224222. [PMID: 36645271 PMCID: PMC9927165 DOI: 10.1128/spectrum.02242-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Sedimentary marine habitats are the largest ecosystem on our planet in terms of area. Marine sediment microbiota govern most of the benthic biological processes and therefore are responsible for much of the global biogeochemical activity. Sediment microbiota respond, even rapidly, to natural change in environmental conditions as well as disturbances of anthropogenic sources. The latter greatly impact the continental shelf. Characterization and monitoring of the sediment microbiota may serve as an important tool for assessing environmental health and indicate changes in the marine ecosystem. This study examined the suitability of marine sediment microbiota as a bioindicator for environmental health in the eastern Mediterranean Sea. Integration of information from Bacteria, Archaea, and Eukaryota enabled robust assessment of environmental factors controlling sediment microbiota composition: seafloor-depth (here representing sediment grain size and total organic carbon), core depth, and season (11%, 4.2%, and 2.5% of the variance, respectively). Furthermore, inter- and intrakingdom cooccurrence patterns indicate that ecological filtration as well as stochastic processes may control sediment microbiota assembly. The results show that the sediment microbiota was robust over 3 years of sampling, in terms of both representation of region (outside the model sites) and robustness of microbial markers. Furthermore, anthropogenic disturbance was reflected by significant transformations in sediment microbiota. We therefore propose sediment microbiota analysis as a sensitive approach to detect disturbances, which is applicable for long-term monitoring of marine environmental health. IMPORTANCE Analysis of data, curated over 3 years of sediment sampling, improves our understanding of microbiota assembly in marine sediment. Furthermore, we demonstrate the importance of cross-kingdom integration of information in the study of microbial community ecology. Finally, the urgent need to propose an applicable approach for environmental health monitoring is addressed here by establishment of sediment microbiota as a robust and sensitive model.
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Affiliation(s)
- Maya Lalzar
- Bioinformatics Services Unit, University of Haifa, Haifa, Israel
| | - Tal Zvi-Kedem
- Morris Kahn Marine Research Station, Faculty of Marine Biology, Leon H. Charney School of Marine Sciences, University of Haifa, Haifa, Israel
| | - Yael Kroin
- Morris Kahn Marine Research Station, Faculty of Marine Biology, Leon H. Charney School of Marine Sciences, University of Haifa, Haifa, Israel
| | - Stephane Martinez
- Morris Kahn Marine Research Station, Faculty of Marine Biology, Leon H. Charney School of Marine Sciences, University of Haifa, Haifa, Israel
| | - Dan Tchernov
- Morris Kahn Marine Research Station, Faculty of Marine Biology, Leon H. Charney School of Marine Sciences, University of Haifa, Haifa, Israel
| | - Dalit Meron
- Morris Kahn Marine Research Station, Faculty of Marine Biology, Leon H. Charney School of Marine Sciences, University of Haifa, Haifa, Israel
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Liu Q, Li Y, Wang H, Yang G, Kan J, Yang M, Yu X, Guo C, Wang M, Wang W, Zhang Q, Zhu J, Zhao X, Jiang Y. Assembly and Network Stability of Planktonic Microorganisms under the Influence of Salinity Gradient: an Arctic Case Study from the Lena River Estuary to the Laptev Sea. Microbiol Spectr 2023; 11:e0211522. [PMID: 36744927 PMCID: PMC10100684 DOI: 10.1128/spectrum.02115-22] [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: 06/17/2022] [Accepted: 01/18/2023] [Indexed: 02/07/2023] Open
Abstract
The diversity and primary productivity in the Arctic ecosystem are rapidly changing due to global warming. Microorganisms play a vital role in biogeochemical cycling. However, the diversity of planktonic microorganism communities in the Laptev Sea, one of the most important marginal seas of the Western Arctic Ocean, have not been studied sufficiently in depth. The diversity and community structure of the planktonic microorganisms in the surface water were investigated at 20 stations on the Lena River flowing into the Laptev Sea. Multivariate statistical analyses demonstrated clear spatial patterns in the α diversity and community structure for microorganisms under different salinity levels. Co-occurrence networks of microbial communities revealed that spatial variation promoted differentiation of the characteristics and stability of microbial networks in the Laptev Sea. Contrary to expectations, abundant taxa were found to not have a large influence on the stability and resilience of microbial interactions in the region. On the contrary, less-abundant taxa were found to have far greater influence. The stability and resilience of the prokaryotic and microeukaryotic networks in the Lena River estuary and the continental shelf provided valuable insights into the impact of freshwater and land inflow disturbances on microbial assemblage. Overall, these results enhance our understanding of the composition of microbial communities and provide insights into how spatial changes of abundant versus rare species alter the nature and stability of microbial networks from the Lena River estuary to the Laptev Sea. In addition, this study explored microbial interactions and their ability to resist future disturbances. IMPORTANCE The regime of the Laptev Sea depends closely on the runoff of the Lena River. Microorganisms are essential components of aquatic food webs and play a significant role in polar ecosystems. In this study, we provided a basic microbial data set as well as new insights into the microbial networks from the Lena River estuary to the Laptev Sea, while exploring their potential to resist future disturbances. A comprehensive and systematic study of the community structure and function of the planktonic microorganisms in the Laptev Sea would greatly enhance our understanding of how polar microbial communities respond to the salinity gradient under climate warming.
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Affiliation(s)
- Qian Liu
- College of Marine Life Science & Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, China
- Key Laboratory of Marine Chemistry Theory and Technology, Frontiers Science Center for Deep Ocean Multispheres and Earth System, Ministry of Education, Ocean University of China, Qingdao, China
| | - Yan Li
- College of Marine Life Science & Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, China
| | - Hualong Wang
- College of Marine Life Science & Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, China
| | - Guipeng Yang
- Key Laboratory of Marine Chemistry Theory and Technology, Frontiers Science Center for Deep Ocean Multispheres and Earth System, Ministry of Education, Ocean University of China, Qingdao, China
| | - Jinjun Kan
- Microbiology Division, Stroud Water Research Center, Avondale, Pennsylvania, USA
| | - Mengyao Yang
- College of Marine Life Science & Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, China
| | - Xiaowen Yu
- College of Marine Life Science & Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, China
| | - Cui Guo
- College of Marine Life Science & Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, China
| | - Min Wang
- College of Marine Life Science & Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, China
- Key Lab of Polar Oceanography and Global Ocean Change, Ocean University of China, Qingdao, China
| | - Wei Wang
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
| | - Qingli Zhang
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
| | - Jiancheng Zhu
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
| | - Xianyong Zhao
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
| | - Yong Jiang
- College of Marine Life Science & Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, China
- Key Lab of Polar Oceanography and Global Ocean Change, Ocean University of China, Qingdao, China
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13
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Liu H, Lin G, Gao D, Chen H, He M, Lu J. Geographic Scale Influences the Interactivities Between Determinism and Stochasticity in the Assembly of Sedimentary Microbial Communities on the South China Sea Shelf. MICROBIAL ECOLOGY 2023; 85:121-136. [PMID: 35039906 DOI: 10.1007/s00248-021-01946-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 12/14/2021] [Indexed: 06/14/2023]
Abstract
Determinism and stochasticity in microbial community composition decisions have attracted wide attention. However, there is no consensus on their interrelationships and relative importance, and the mechanism controlling the interaction between the two ecological processes remains to be revealed. The interaction of the two ecological processes on the continental shelf of the South China Sea was studied by performing 16S rRNA gene amplicon sequencing on 90 sediments at multiple depths in five sites. Three nearshore sites have higher microbial diversity than those two close to the shelf margin. Different microbial composition was observed between sites and microbial composition of nearshore sites was positively correlated with total nitrogen, total sulfur, total organic carbon, and dissolved oxygen, while that of offshore was positively correlated with total carbon, salinity, and photosynthetically active radiation. The null model test showed that the community composition among layers of the same site and between nearby sites was mainly dominated by the homogeneous selection, while that between distant sites was mainly affected by dispersal limitation, which indicates that geographic scale influences the interactivities of determinism and stochasticity. Our research indicates that the balance of these two ecological processes along the geographic scale is mainly determined by the dispersal ability of microbes and environmental heterogeneity between areas. The study provides new insights into how deterministic and stochastic processes shape microbial community composition on the continental shelf.
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Affiliation(s)
- Hualin Liu
- School of Marine Sciences, Sun Yat-Sen University, Zhuhai, 519082, China
| | - Genmei Lin
- School of Marine Sciences, Sun Yat-Sen University, Zhuhai, 519082, China
| | - Dong Gao
- School of Marine Sciences, Sun Yat-Sen University, Zhuhai, 519082, China
| | - Hongyu Chen
- School of Marine Sciences, Sun Yat-Sen University, Zhuhai, 519082, China
| | - Miao He
- School of Marine Sciences, Sun Yat-Sen University, Zhuhai, 519082, China
| | - Jianguo Lu
- School of Marine Sciences, Sun Yat-Sen University, Zhuhai, 519082, China.
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519080, China.
- Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Guangzhou, 510275, Guangdong, China.
- Pearl River Estuary Marine Ecosystem Research Station, Ministry of Education, Zhuhai, 519000, China.
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Deterministic Factors Determine the Comammox Community Composition in the Pearl River Estuary Ecosystem. Microbiol Spectr 2022; 10:e0101622. [PMID: 35913204 PMCID: PMC9431512 DOI: 10.1128/spectrum.01016-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Complete ammonia oxidizers (comammox) have been widely detected in riverine and estuarine ecosystems. However, knowledge about the process of comammox community assembly from freshwater to marine environments is still limited. Here, based on deep sequencing, we investigated the community composition of comammox along a salinity gradient in the Pearl River Estuary (PRE), South China. Our results showed that comammox microorganisms in the PRE sediments were extremely diverse and displayed distinct distributional patterns between upstream and downstream habitats. Quantitative PCR demonstrated that comammox was the dominant ammonia-oxidizing microorganism (AOM) in the PRE upstream sediments, and ammonia-oxidizing archaea (AOA) dominated the PRE downstream sediments, while ammonia-oxidizing bacteria (AOB) were not dominant in any section of the PRE. Neutral modeling revealed that stochastic processes explained a limited part of the variation in the comammox community. The majority of beta nearest-taxon index values were higher than 2, indicating that comammox community assembly in the PRE sediments was better explained through a deterministic process than through a stochastic process. Salinity and total nitrogen were the most important contributing factors that shaped the comammox community. This study expanded the current knowledge of the diversity and niche preference of comammox in the estuarine ecosystem, and further enhances our understanding of the assembly of comammox community from freshwater to marine environments. IMPORTANCE Microbial communities are shaped by stochastic (emigration, immigration, birth, death, and genetic drift of species) and deterministic (e.g., environmental factors) processes. However, it remains unknown as to which type of process is more important in influencing the comammox community assembly from freshwater to marine environments. In this study, we compared the relative importance of stochastic and deterministic processes in shaping the assembly of the comammox community, which demonstrated that the deterministic process was more important in determining the community assembly patterns in the PRE ecosystem.
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Zhang T, Xu S, Yan R, Wang R, Gao Y, Kong M, Yi Q, Zhang Y. Similar geographic patterns but distinct assembly processes of abundant and rare bacterioplankton communities in river networks of the Taihu Basin. WATER RESEARCH 2022; 211:118057. [PMID: 35066261 DOI: 10.1016/j.watres.2022.118057] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 12/16/2021] [Accepted: 01/09/2022] [Indexed: 06/14/2023]
Abstract
Bacterioplankton play an important role in the biogeochemical cycling in rivers. The dynamics of hydrologic conditions in rivers were believed to affect geographic pattern and assembly process of these microorganisms, which have not been widely investigated. In this study, the geographic pattern and assembly process of bacterioplankton community in river networks of the Taihu Basin were systematically explored using amplicon sequencing of the 16S rRNA gene. The results showed that the diversity, structure, and taxonomic composition of bacterioplankton community all exhibited significant temporal variation during wet, normal, and dry seasons (p<0.01). The neutral community model and null model were applied to reveal the assembly process of bacterioplankton community. The stochastic process and deterministic process both shaped the bacterioplankton community with greater influence of deterministic process. In addition, the abundant and rare bacterioplankton communities were comparatively analyzed. The abundant and rare bacterioplankton communities exhibited similar temporal dynamics (principal coordinates analysis) and spatial variations (distance-decay relationship), indicating similar geographic patterns. Meanwhile, distinct assembly processes were observed for the abundant and rare bacterioplankton communities. Stochastic process (dispersal limitation) shaped the abundant bacterioplankton community while deterministic process (heterogeneous selection) dominated the assembly process of rare bacterioplankton community. Mantel test, redundancy analysis, and correlation analysis together indicated that pH and dissolved oxygen were the major environmental attributes that affected thestructure and assembly process of bacterioplankton community. These results expanded our understanding of the geographic pattern, assembly process, and driving factors of bacterioplankton community in river networks and provided clues for the underlying mechanisms.
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Affiliation(s)
- Tao Zhang
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Sai Xu
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China; Jiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
| | - Ruomeng Yan
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Ruyue Wang
- Jiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Yuexiang Gao
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Ming Kong
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Qitao Yi
- School of Civil Engineering, Yantai University, Yantai 264005, China
| | - Yimin Zhang
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China.
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Manirakiza B, Zhang S, Addo FG, Isabwe A, Nsabimana A. Exploring microbial diversity and ecological function of epiphytic and surface sediment biofilm communities in a shallow tropical lake. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 808:151821. [PMID: 34808175 DOI: 10.1016/j.scitotenv.2021.151821] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 11/14/2021] [Accepted: 11/16/2021] [Indexed: 06/13/2023]
Abstract
Microbial communities in epiphytic biofilms and surface sediments play a vital role in the biogeochemical cycles of the major chemical elements in freshwater. However, little is known about the diversity, composition, and ecological functions of microbial communities in shallow tropical lakes dominated by aquatic macrophytes. In this study, epiphytic bacterial and eukaryotic biofilm communities on submerged and floating macrophytes and surface sediments were investigated in Lake Rumira, Rwanda in August and November 2019. High-throughput sequencing data revealed that members of the phyla, including Firmicutes, Proteobacteria, Cyanobacteria, Actinobacteria, Chloroflexi, Bacteriodetes, Verrumicrobia, and Myxomycota, dominated bacterial communities, while the microeukaryotic communities were dominated by Unclassified (uncl) SAR(Stramenopiles, Alveolata, Rhizaria), Rotifers, Ascomycota, Gastrotricha, Platyhelminthes, Chloroplastida, and Arthropoda. Interestingly, the eukaryotic OTUs (operational taxonomic units) number and Shannon indices were significantly higher in sediments and epiphytic biofilms on Eicchornia crassipes than Ceratophyllum demersum (p < 0.05), while no differences were observed in bacterial OTUs number and Shannon values among substrates. Redundancy analysis (RDA) showed that water temperature, pH, dissolved oxygen (DO), total nitrogen (TN), and electrical conductivity (EC) were the most important abiotic factors closely related to the microbial community on C. demersum and E. crassipes. Furthermore, co-occurrence networks analysis (|r| > 0.7, p < 0.05) and functional prediction revealed more complex interactions among microbes on C. demersum than on E. crassipes and sediments, and those interactions include cross-feeding, parasitism, symbiosis, and predatism among organisms in biofilms. These results suggested that substrate-type and environmental factors were the strong driving forces of microbial diversity in epiphytic biofilms and surface sediments, thus shedding new insights into microbial community diversity in epiphytic biofilms and surface sediments and its ecological role in tropical lacustrine ecosystems.
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Affiliation(s)
- Benjamin Manirakiza
- Ministry of Education Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, College of Environment, Hohai University, Nanjing 210098, China; University of Rwanda (UR), College of Science and Technology (CST), Department of Biology, P.O. Box 3900, Kigali, Rwanda
| | - Songhe Zhang
- Ministry of Education Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, College of Environment, Hohai University, Nanjing 210098, China.
| | - Felix Gyawu Addo
- Ministry of Education Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, College of Environment, Hohai University, Nanjing 210098, China
| | - Alain Isabwe
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Antoine Nsabimana
- University of Rwanda (UR), College of Science and Technology (CST), Department of Biology, P.O. Box 3900, Kigali, Rwanda
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Hou D, Zhou R, Zeng S, Wei D, Deng X, Xing C, Weng S, He J, Huang Z. Stochastic processes shape the bacterial community assembly in shrimp cultural pond sediments. Appl Microbiol Biotechnol 2021; 105:5013-5022. [PMID: 34097120 DOI: 10.1007/s00253-021-11378-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 05/06/2021] [Accepted: 05/27/2021] [Indexed: 12/19/2022]
Abstract
Sediment environments harbor a repertoire of microorganisms that contribute to animal health and the microecosystem in aquaculture ecosystems, but their community diversity and the potential factors that control it remain unclear. Here, we applied 16S rRNA gene amplicon sequencing to investigate bacterial diversity and assembly mechanisms in the sediments of shrimp cultural ponds at the mesoscale. Our results showed that sediment bacterial communities contained 10,333 operational taxonomic units (OTUs) but had only 34 core OTUs and that the relative abundances of these core OTUs were significantly correlated with the physicochemical properties of the sediments. Proteobacteria, Bacteroidetes, Chloroflexi, Cyanobacteria, Acidobacteria, Firmicutes, Actinobacteria, Ignavibacteriae, Spirochaetae and Planctomycetes were the ten most abundant bacterial phyla. Notably, some opportunistic pathogens (e.g. Vibrio and Photobacterium) and potential functional microbes (e.g. Nitrospira, Nitrosomonas, Desulfobulbus and Desulfuromusa) were widely distributed in shrimp cultural pond sediments. More importantly, we found that there was a significant negative but weak distance-decay relationship among bacterial communities in shrimp culture pond sediments at the mesoscale, and that the spatial turnover of these bacterial communities appeared to be largely driven by stochastic processes. Additionally, environmental factors, such as pH and total nitrogen, also played important roles in influencing the sediment bacterial structure. Our findings enhance our understanding of microbial ecology in aquatic ecosystems and facilitate sediment microbiota management in aquaculture. KEY POINTS: • Core bacterial taxa in cultural pond sediments contributed to the shrimp health and element cycling. • There was a significant negative distance-decay relationship among bacterial communities in shrimp culture pond sediments at the mesoscale, and its spatial turnover appeared to be largely driven by stochastic processes. • Environmental factors (e.g. pH and total nitrogen) played important roles in influencing bacterial structure in shrimp cultural pond sediments.
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Affiliation(s)
- Dongwei Hou
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai)/School of Marine Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Renjun Zhou
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai)/School of Marine Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Shenzheng Zeng
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai)/School of Marine Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Dongdong Wei
- Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals/School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Xisha Deng
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai)/School of Marine Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Chengguang Xing
- Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals/School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Shaoping Weng
- Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals/School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Jianguo He
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai)/School of Marine Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China. .,Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals/School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
| | - Zhijian Huang
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai)/School of Marine Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
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