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Xu J, Wang Y, Liu L, Wang X, Xiao S, Chen J, Jiao N, Zheng Q. Biogeography and dynamics of prokaryotic and microeukaryotic community assembly across 2600 km in the coastal and shelf ecosystems of the China Seas. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 948:174883. [PMID: 39034013 DOI: 10.1016/j.scitotenv.2024.174883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 07/16/2024] [Accepted: 07/17/2024] [Indexed: 07/23/2024]
Abstract
Marine prokaryotes and microeukaryotes are essential components of microbial food webs, and drive the biogeochemical cycling. However, the underlying ecological mechanisms driving prokaryotic and microeukaryotic community assembly in large-scale coastal ecosystems remain unclear. In this study, we studied biogeographic patterns of prokaryotic and microeukaryotic communities in the coastal and shelf ecosystem of the China Seas. Results showed that prokaryotic richness was the highest in the Yangtze River Plume, whereas microeukaryotic richness decreased from south to north. Prokaryotic-microeukaryotic co-occurrence networks display greater complexity in the Yangtze River Plume compared to other regions, potentially indicating higher environmental heterogeneity. Furthermore, the cross-domain networks revealed that prokaryotes were more interconnected with each other than with microeukaryotes or between microeukaryotes, and all hub nodes were bacterial taxa, suggesting that prokaryotes may be more important for sustaining the stability and multifunctionality of coastal ecosystem than microeukaryotes. Variation Partitioning Analysis revealed that approximately equal proportions of environmental, biotic and spatial factors contribute to variations in microbial community composition. Temperature was the primary environmental driver of both prokaryotic and microeukaryotic communities across the China Seas. Additionally, stochastic processes (dispersal limitation) and deterministic processes (homogeneous selection) were two major ecological factors in shaping microeukaryotic and prokaryotic assemblages, respectively, suggesting their different environmental plasticity and evolutionary mechanisms. Overall, these results demonstrate both prokaryotic and microeukaryotic communities displayed a latitude-driven distribution pattern and different assembly mechanisms, improving our understanding of microbial biogeography patterns under global change and anthropogenic activity driven habitat diversification in the coastal and shelf ecosystem.
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Affiliation(s)
- Jinxin Xu
- State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Institute of Marine Microbes and Ecospheres, Xiamen University, Xiamen 361102, PR China; Fujian Key Laboratory of Marine Carbon Sequestration, Xiamen University, Xiang'an Campus, Xiang'an South Road, Xiamen 361102, PR China
| | - Yu Wang
- State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Institute of Marine Microbes and Ecospheres, Xiamen University, Xiamen 361102, PR China; Fujian Key Laboratory of Marine Carbon Sequestration, Xiamen University, Xiang'an Campus, Xiang'an South Road, Xiamen 361102, PR China
| | - Lu Liu
- State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Institute of Marine Microbes and Ecospheres, Xiamen University, Xiamen 361102, PR China; Fujian Key Laboratory of Marine Carbon Sequestration, Xiamen University, Xiang'an Campus, Xiang'an South Road, Xiamen 361102, PR China
| | - Xiaomeng Wang
- State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Institute of Marine Microbes and Ecospheres, Xiamen University, Xiamen 361102, PR China; Fujian Key Laboratory of Marine Carbon Sequestration, Xiamen University, Xiang'an Campus, Xiang'an South Road, Xiamen 361102, PR China
| | - Shicong Xiao
- State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Institute of Marine Microbes and Ecospheres, Xiamen University, Xiamen 361102, PR China; Fujian Key Laboratory of Marine Carbon Sequestration, Xiamen University, Xiang'an Campus, Xiang'an South Road, Xiamen 361102, PR China
| | - Jiaxin Chen
- State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Institute of Marine Microbes and Ecospheres, Xiamen University, Xiamen 361102, PR China; Fujian Key Laboratory of Marine Carbon Sequestration, Xiamen University, Xiang'an Campus, Xiang'an South Road, Xiamen 361102, PR China
| | - Nianzhi Jiao
- State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Institute of Marine Microbes and Ecospheres, Xiamen University, Xiamen 361102, PR China; Fujian Key Laboratory of Marine Carbon Sequestration, Xiamen University, Xiang'an Campus, Xiang'an South Road, Xiamen 361102, PR China
| | - Qiang Zheng
- State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Institute of Marine Microbes and Ecospheres, Xiamen University, Xiamen 361102, PR China; Fujian Key Laboratory of Marine Carbon Sequestration, Xiamen University, Xiang'an Campus, Xiang'an South Road, Xiamen 361102, PR China.
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Shi B, Cheng X, Jiang S, Pan J, Zhu D, Lu Z, Jiang Y, Liu C, Guo H, Xie J. Unveiling the power of COD/N on constructed wetlands in a short-term experiment: Exploring microbiota co-occurrence patterns and assembly dynamics. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169568. [PMID: 38143001 DOI: 10.1016/j.scitotenv.2023.169568] [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: 10/06/2023] [Revised: 12/14/2023] [Accepted: 12/19/2023] [Indexed: 12/26/2023]
Abstract
Constructed wetlands (CWs) are a cost-effective and environmentally friendly wastewater treatment technology. The influent chemical oxygen demand (COD)/nitrogen (N) ratio (CNR) plays a crucial role in microbial activity and purification performance. However, the effects of CNR changes on microbial diversity, interactions, and assembly processes in CWs are not well understood. In this study, we conducted comprehensive mechanistic experiments to investigate the response of CWs to changes in influent CNR, focusing on the effluent, rhizosphere, and substrate microbiota. Our goal is to provide new insights into CW management by integrating microbial ecology and environmental engineering perspectives. We constructed two groups of horizontal subsurface flow constructed wetlands (HFCWs) and set up three influent CNRs to analyse the microbial responses and nutrient removal. The results indicated that increasing influent CNR led to a decrease in microbial α-diversity and niche width. Genera involved in nitrogen removal and denitrification, such as Rhodobacter, Desulfovibrio, and Zoogloea, were enriched under medium/high CNR conditions, resulting in higher nitrate (NO3--N) removal (up to 99 %) than that under lower CNR conditions (<60 %). Environmental factors, including water temperature (WT), pH, and phosphorus (P), along with CNR-induced COD and NO3--N play important roles in microbial succession in HFCWs. The genus Nitrospira, which is involved in nitrification, exhibited a significant negative correlation (p < 0.05) with WT, COD, and P. Co-occurrence network analysis revealed that increasing influent CNR reduced the complexity of the network structure and increased microbial competition. Analysis using null models demonstrated that the microbial community assembly in HFCWs was primarily driven by stochastic processes under increasing influent CNR conditions. Furthermore, HFCWs with more stochastic microbial communities exhibited better denitrification performance (NO3--N removal). Overall, this study enhances our understanding of nutrient removal, microbial co-occurrence, and assembly mechanisms in CWs under varying influent CNRs.
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Affiliation(s)
- Baoshan Shi
- School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China; State Key Laboratory of Subtropical Building and Urban Science, South China University of Technology, Guangzhou 510640, China
| | - Xiangju Cheng
- School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China; State Key Laboratory of Subtropical Building and Urban Science, South China University of Technology, Guangzhou 510640, China.
| | - Shenqiong Jiang
- School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China
| | - Junheng Pan
- School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China
| | - Dantong Zhu
- School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China; State Key Laboratory of Subtropical Building and Urban Science, South China University of Technology, Guangzhou 510640, China
| | - Zhuoyin Lu
- School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China; State Key Laboratory of Subtropical Building and Urban Science, South China University of Technology, Guangzhou 510640, China
| | - Yuheng Jiang
- School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China
| | - Chunsheng Liu
- School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China
| | - Heyi Guo
- School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China
| | - Jun Xie
- Key Laboratory of Tropical and Subtropical Fishery Resource Application and Cultivation, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510380, China
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Xu H, Xiao Q, Dai Y, Chen D, Zhang C, Jiang Y, Xie J. Selected Bacteria Are Critical for Karst River Carbon Sequestration via Integrating Multi-omics and Hydrochemistry Data. MICROBIAL ECOLOGY 2023; 86:3043-3056. [PMID: 37831075 DOI: 10.1007/s00248-023-02307-6] [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: 06/02/2023] [Accepted: 09/15/2023] [Indexed: 10/14/2023]
Abstract
Recalcitrant dissolved organic carbon (RDOC) produced by microbial carbon pumps (MCPs) in the ocean is crucial for carbon sequestration and regulating climate change in the history of Earth. However, the importance of microbes on RDOC formation in terrestrial aquatic systems, such as rivers and lakes, remains to be determined. By integrating metagenomic (MG) and metatranscriptomic (MT) sequencing, we defined the microbial communities and their transcriptional activities in both water and silt of a typical karst river, the Lijiang River, in Southwest China. Betaproteobacteria predominated in water, serving as the most prevalent population remodeling components of dissolved organic carbon (DOC). Binning method recovered 45 metagenome-assembled genomes (MAGs) from water and silt. Functional annotation of MAGs showed Proteobacteria was less versatile in degrading complex carbon, though cellulose and chitin utilization genes were widespread in this phylum, whereas Bacteroidetes had high potential for the utilization of macro-molecular organic carbon. Metabolic remodeling revealed that increased shared metabolites within the bacterial community are associated with increased concentration of DOC, highlighting the significance of microbial cooperation during producing and remodeling of carbon components. Beta-oxidation, leucine degradation, and mevalonate (MVA) modules were significantly positively correlated with the concentration of RDOC. Blockage of the leucine degradation pathway in Limnohabitans and UBA4660-related MAGs were associated with decreased RDOC in the karst river, while the Fluviicola-related MAG containing a complete leucine degradation pathway was positively correlated with RDOC concentration. Collectively, our study revealed the linkage between bacteria metabolic processes and carbon sequestration. This provided novel insights into the microbial roles in karst-rivers carbon sink.
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Affiliation(s)
- Hongxiang Xu
- Institute of Modern Biopharmaceuticals, State Key Laboratory Breeding Base of Eco-Environment and Bio-Resource of the Three Gorges Area, Key Laboratory of Eco-environment of Three Gorges Reservoir, Ministry of Education, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Qiong Xiao
- Institute of Karst Geology, CAGS, Key Laboratory on Karst Dynamics, MNR & Guangxi, Guilin, 541004, China
| | - Yongdong Dai
- Institute of Modern Biopharmaceuticals, State Key Laboratory Breeding Base of Eco-Environment and Bio-Resource of the Three Gorges Area, Key Laboratory of Eco-environment of Three Gorges Reservoir, Ministry of Education, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Dexin Chen
- Institute of Modern Biopharmaceuticals, State Key Laboratory Breeding Base of Eco-Environment and Bio-Resource of the Three Gorges Area, Key Laboratory of Eco-environment of Three Gorges Reservoir, Ministry of Education, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Cheng Zhang
- Institute of Karst Geology, CAGS, Key Laboratory on Karst Dynamics, MNR & Guangxi, Guilin, 541004, China.
| | - Yongjun Jiang
- Chongqing Key Laboratory of Karst Environment & School of Geographical Sciences, Southwest University, Chongqing, 400715, China.
| | - Jianping Xie
- Institute of Modern Biopharmaceuticals, State Key Laboratory Breeding Base of Eco-Environment and Bio-Resource of the Three Gorges Area, Key Laboratory of Eco-environment of Three Gorges Reservoir, Ministry of Education, School of Life Sciences, Southwest University, Chongqing, 400715, China.
- Chongqing Key Laboratory of Karst Environment & School of Geographical Sciences, Southwest University, Chongqing, 400715, China.
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Zheng F, Zhang T, Yin S, Qin G, Chen J, Zhang J, Zhao D, Leng X, An S, Xia L. Comparison and interpretation of freshwater bacterial structure and interactions with organic to nutrient imbalances in restored wetlands. Front Microbiol 2022; 13:946537. [PMID: 36212857 PMCID: PMC9533089 DOI: 10.3389/fmicb.2022.946537] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 08/30/2022] [Indexed: 01/18/2023] Open
Abstract
Chemical oxygen demand to nitrogen (COD/N) and nitrogen to phosphorus (N/P) ratios have distinct effects on bacterial community structure and interactions. However, how organic to nutrient imbalances affect the structure of freshwater bacterial assemblages in restored wetlands remains poorly understood. Here, the composition and dominant taxa of bacterial assemblages in four wetlands [low COD/N and high N/P (LH), low COD/N and low N/P (LL), high COD/N and high N/P (HH), and high COD/N and low N/P (HL)] were investigated. A total of 7,709 operational taxonomic units were identified by high throughput sequencing, and Actinobacteria, Proteobacteria, and Cyanobacteria were the most abundant phyla in the restored wetlands. High COD/N significantly increased bacterial diversity and was negatively correlated with N/P (R 2 = 0.128; p = 0.039), and the observed richness (Sobs) indices ranged from 860.77 to 1314.66. The corresponding Chao1 and phylogenetic diversity (PD) values ranged from 1533.42 to 2524.56 and 127.95 to 184.63. Bacterial beta diversity was negatively related to COD/N (R 2 = 0.258; p < 0.001). The distribution of bacterial assemblages was mostly driven by variations in ammonia nitrogen (NH4 +-N, p < 0.01) and electrical conductivity (EC, p < 0.01), which collectively explained more than 80% of the variation in bacterial assemblages. However, the dominant taxa Proteobacteria, Firmicutes, Cyanobacteria, Bacteroidetes, Verrucomicrobia, Planctomycetes, Chloroflexi, and Deinococcus-Thermus were obviously affected by variation in COD/N and N/P (p < 0.05). The highest node and edge numbers and average degree were observed in the LH group. The co-occurrence networkindicated that LH promoted bacterial network compactness and bacterial interaction consolidation. The relationships between organic to nutrient imbalances and bacterial assemblages may provide a theoretical basis for the empirical management of wetland ecosystems.
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Affiliation(s)
- Fuchao Zheng
- School of Life Sciences, Institute of Wetland Ecology, Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Ecology Research Institute of Changshu, Changshu, Jiangsu, China
| | - Tiange Zhang
- School of Life Sciences, Institute of Wetland Ecology, Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Ecology Research Institute of Changshu, Changshu, Jiangsu, China
| | - Shenglai Yin
- College of Life Sciences, Nanjing Normal University, Nanjing, Jiangsu, China
| | - Ge Qin
- School of Life Sciences, Institute of Wetland Ecology, Nanjing University, Nanjing, Jiangsu, China
| | - Jun Chen
- School of Life Sciences, Institute of Wetland Ecology, Nanjing University, Nanjing, Jiangsu, China
| | - Jinghua Zhang
- School of Life Sciences, Institute of Wetland Ecology, Nanjing University, Nanjing, Jiangsu, China
| | - Dehua Zhao
- School of Life Sciences, Institute of Wetland Ecology, Nanjing University, Nanjing, Jiangsu, China
| | - Xin Leng
- School of Life Sciences, Institute of Wetland Ecology, Nanjing University, Nanjing, Jiangsu, China
| | - Shuqing An
- School of Life Sciences, Institute of Wetland Ecology, Nanjing University, Nanjing, Jiangsu, China
- Nanjing University Ecology Research Institute of Changshu, Changshu, Jiangsu, China
| | - Lu Xia
- School of Life Sciences, Institute of Wetland Ecology, Nanjing University, Nanjing, Jiangsu, China
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Voigt E, Rall BC, Chatzinotas A, Brose U, Rosenbaum B. Phage strategies facilitate bacterial coexistence under environmental variability. PeerJ 2021; 9:e12194. [PMID: 34760346 PMCID: PMC8572521 DOI: 10.7717/peerj.12194] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 08/31/2021] [Indexed: 12/14/2022] Open
Abstract
Bacterial communities are often exposed to temporal variations in resource availability, which exceed bacterial generation times and thereby affect bacterial coexistence. Bacterial population dynamics are also shaped by bacteriophages, which are a main cause of bacterial mortality. Several strategies are proposed in the literature to describe infections by phages, such as "Killing the Winner", "Piggyback the loser" (PtL) or "Piggyback the Winner" (PtW). The two temperate phage strategies PtL and PtW are defined by a change from lytic to lysogenic infection when the host density changes, from high to low or from low to high, respectively. To date, the occurrence of different phage strategies and their response to environmental variability is poorly understood. In our study, we developed a microbial trophic network model using ordinary differential equations (ODEs) and performed 'in silico' experiments. To model the switch from the lysogenic to the lytic cycle, we modified the lysis rate of infected bacteria and their growth was turned on or off using a density-dependent switching point. We addressed whether and how the different phage strategies facilitate bacteria coexistence competing for limiting resources. We also studied the impact of a fluctuating resource inflow to evaluate the response of the different phage strategies to environmental variability. Our results show that the viral shunt (i.e. nutrient release after bacterial lysis) leads to an enrichment of the system. This enrichment enables bacterial coexistence at lower resource concentrations. We were able to show that an established, purely lytic model leads to stable bacterial coexistence despite fluctuating resources. Both temperate phage models differ in their coexistence patterns. The model of PtW yields stable bacterial coexistence at a limited range of resource supply and is most sensitive to resource fluctuations. Interestingly, the purely lytic phage strategy and PtW both result in stable bacteria coexistence at oligotrophic conditions. The PtL model facilitates stable bacterial coexistence over a large range of stable and fluctuating resource inflow. An increase in bacterial growth rate results in a higher resilience to resource variability for the PtL and the lytic infection model. We propose that both temperate phage strategies represent different mechanisms of phages coping with environmental variability. Our study demonstrates how phage strategies can maintain bacterial coexistence in constant and fluctuating environments.
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Affiliation(s)
- Esther Voigt
- German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany.,Institute of Biodiversity, Friedrich Schiller University Jena, Jena, Germany
| | - Björn C Rall
- German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany.,Institute of Biodiversity, Friedrich Schiller University Jena, Jena, Germany
| | - Antonis Chatzinotas
- German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany.,Department of Environmental Microbiology, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany.,Institute of Biology, Leipzig University, Leipzig, Germany
| | - Ulrich Brose
- German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany.,Institute of Biodiversity, Friedrich Schiller University Jena, Jena, Germany
| | - Benjamin Rosenbaum
- German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany.,Institute of Biodiversity, Friedrich Schiller University Jena, Jena, Germany
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Davies FK, Fricker AD, Robins MM, Dempster TA, McGowen J, Charania M, Beliaev AS, Lindemann SR, Posewitz MC. Microbiota associated with the large-scale outdoor cultivation of the cyanobacterium Synechococcus sp. PCC 7002. ALGAL RES 2021. [DOI: 10.1016/j.algal.2021.102382] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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