Structure and assembly processes of bacterial communities in Poyang Lake basin
SHE Yuan-yang1,2, WANG Peng1, DING Ming-jun1, NIE Ming-hua1, HUANG Gao-xiang1, ZHANG Hua1, HUANG Yi-ping1, CAO Ying-jie3
1. Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China; 2. School of History Culture and Tourism, Longnan Teachers College, Longnan 742500, China; 3. School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China
Abstract：To investigate the structure and assembly processes of bacterial communities across different spatial-temporal scales, a total of eight surface water samples were collected in Poyang Lake basin (from seven hydrological stations) during the dry season (October to January of the following year) and wet season (April to August), and high-throughput sequencing technology was utilized to examine the bacterial community's structure, assembly processes, and co-occurrence networks. The results demonstrated that the Shannon index was significantly higher (5.12) during the wet season compared to the dry season (4.45), while the Chao1index did not differ significantly between the seasons. Moreover, significant differences in a diversity were observed within the same season, while no significant differences were detected in the a and b diversity of bacterial communities in space. The dominant phyla in the Poyang Lake basin were Pseudomonadota (34.72%), Actinobacteria (32.35%), Cyanobacteria (13.21%), and Bacteroidetes (10.81%). The relative abundance of Pseudomonadota and Actinobacteriota decreased significantly, while Cyanobacteria and Bacteroidota significantly increased during the wet season compared to the dry season. Water temperature (WT) and mean stream network length (MDSL) were identified as the primary environmental factors influencing the structure of the bacterial community at the phyla-level. The co-occurrence networks of bacterial communities in water bodies interacted with each other in collaborative and competitive relationships, which were stronger, more complex, and stable during the wet season than in the dry season. Additionally, the complexity and stability of the co-network were significantly influenced by both WT and dissolved oxygen (DO). The assembly of bacterial communities was predominantly dominated by deterministic processes, with a stronger contribution from these processes during the dry season than in the wet season. Finally, some differences in co-network patterns and assembly processes were observed across different time scales.
Aufdenkampe A K, Mayorga E, Raymond P A, et al. Riverine coupling of biogeochemical cycles between land, oceans, and atmosphere[J]. Frontiers in Ecology and the Environment, 2011,9(1):53-60.
[2]
Liu S, Wang P F, Wang C, et al. Ecological insights into the disturbances in bacterioplankton communities due to emerging organic pollutants from different anthropogenic activities along an urban river[J]. Science of the Total Environment, Amsterdam:Elsevier, 2021,796:148973.
[3]
Fuchsman C A, Palevsky H I, Widner B, et al. Cyanobacteria and cyanophage contributions to carbon and nitrogen cycling in an oligotrophic oxygen-deficient zone[J]. The ISME Journal, Nature Publishing Group, 2019,13(11):2714-2726.
[4]
Hou D W, Huang Z J, Zeng S Z, et al. Environmental factors shape water microbial community structure and function in shrimp cultural enclosure ecosystems[J]. Frontiers in Microbiology, 2017,8:2359.
[5]
Nemergut D, Schmidt S, Fukami T, et al. Patterns and processes of microbial community assembly[J]. Microbiology and Molecular Biology Reviews:MMBR, 2013,77:342-56.
[6]
Doherty M, Yager P, Moran M A, et al. Bacterial Biogeography across the Amazon River-Ocean Continuum[J]. Frontiers in Microbiology, 2017,8:882.
[7]
Zhang T, Xu S, Yan R M, et al. Similar geographic patterns but distinct assembly processes of abundant and rare bacterioplankton communities in river networks of the Taihu Basin[J]. Water Research, 2022,211:118057.
[8]
Wang K, Yan H Z, Peng X, et al. Community assembly of bacteria and archaea in coastal waters governed by contrasting mechanisms:A seasonal perspective[J]. Molecular Ecology, 2020,29(19):3762-3776.
[9]
Zhang J, Shen H, Wang H, et al. Salinity and seasonality shaping free-living and particle-associated bacterioplankton community assembly in lakeshores of the northeastern Qinghai-Tibet Plateau[J]. Environmental Research, 2022,214:113717.
[10]
Chen W D, Ren K X, Isabwe A, et al. Stochastic processes shape microeukaryotic community assembly in a subtropical river across wet and dry seasons[J]. Microbiome, 2019,7(1):138.
[11]
Mai Y Z, Peng S Y, Lai Z N, et al. Seasonal and inter-annual variability of bacterioplankton communities in the subtropical Pearl River Estuary, China[J]. Environmental Science and Pollution Research, Heidelberg:Springer Heidelberg, 2022,29(15):21981-21997.
[12]
朱爱萍,原升艳,黎曼姿,等.亚热带城市河流浮游细菌群落的季节演替及构建机制[J]. 环境科学学报, 2023,43(2):461-473. Zhu A P, Yuan S Y, Li M Z, et al. Seasonal succession and assembly processes of bacterioplankton communities in a subtropical urban river[J]. Acta Scientiae Circumstantiae, 2023,43(2):461-473.
[13]
Zhao J, Wang P, Ding M J, et al. Effect of water chemistry, land use patterns, and geographic distances on the spatial distribution of bacterioplankton communities in an anthropogenically disturbed riverine ecosystem[J]. Frontiers in Microbiology, 2021,12:633993.
[14]
杨 潇,马吉顺,张 欢,等.鄱阳湖不同水文期浮游生物群落结构特征和影响因素及水质评价[J]. 水生生物学报, 2021,45(5):1093- 1103. Yang X, Ma J S, Zhang H, et al. Community structure and the water quality during different hydrological periods in Poyang lake[J]. Acta Hydrobiologica Sinica, 2021,45(5):1093-1103.
[15]
田智慧,尹传鑫,王晓蕾.鄱阳湖流域生态环境动态评估及驱动因子分析[J]. 环境科学, 2023,44(2):816-827. Tian Z H, Yin C X, Wang X L. Dynamic monitoring and driving factors analysis of ecological environment quality in Poyang Lake Basin[J]. Environmental Science, 2023,44(2):816-827.
[16]
钟业喜,吴青青,吴思雨,等.生态安全约束下环鄱阳湖生态城市群空间格局演变研究[J]. 江西师范大学学报(自然科学版), 2021,45(5):530-538. Zhong Y X, Wu Q Q, Wu S Y, et al. The spatial pattern evolution of the eco-urban agglomeration around Poyang Lake under the constraint of ecological security[J]. Journal of Jiangxi Normal University (Natural Science), 2021,45(5):530-538.
[17]
赵晏慧,李 韬,黄波,等.2016~2020年长江中游典型湖泊水质和富营养化演变特征及其驱动因素[J]. 湖泊科学, 2022,34(5):1441- 1451. Zhao Y H, Li T, Huang B, et al. Evolution characteristics and driving factors of water quality and eutrophication of typical lakes in the middle reaches of the Yangtze River from 2016 to 2020[J]. Journal of Lake Science, 2022,34(5):1441-1451.
[18]
Shu W, Wang P, Xu Q Y, et al. Coupled effects of landscape structures and water chemistry on bacterioplankton communities at multi-spatial scales[J]. Science of the Total Environment, 2022,811:151350.
[19]
Wu B B, Wang P, Devlin A T, et al. Anthropogenic intensity-determined assembly and network stability of bacterioplankton communities in the Le'an River[J]. Frontiers in Microbiology, 2022, 13:806036.
[20]
Wang P, Zhao J, Xiao H Y, et al. Bacterial community composition shaped by water chemistry and geographic distance in an anthropogenically disturbed river[J]. Science of the Total Environment, 2019,655:61-69.
[21]
圣 平,于一尊,田晓娟,等.鄱阳湖7个河口水体中细菌多样性和组成特征[J]. 农业现代化研究, 2016,37(3):606-612. Sheng P, Yu Y Z, Tian X J, et al. Bacterial diversities and compositions in seven different estuarine water columns of Poyang Lake[J]. Research of Agricultural Modernization, 2016,37(3):606-612.
[22]
王 鹏,陈 波,李传琼,等.赣江南昌段丰水期细菌群落特征[J]. 中国环境科学, 2016,36(8):2453-2462. Wang P, Chen b, Li C Q, et al. Bacterial communities in Nanchang section of the Ganjiang River in wet seaon[J]. China Environmental Science, 2016,36(8):2453-2462.
[23]
Dennis K L, Wang Y W, Blatner N R, et al. Adenomatous polyps are driven by microbe-instigated focal inflammation and are controlled by IL-10-producing T cells[J]. Cancer Research, 2013,73:5905-5913.
[24]
Bolyen E, Rideout J R, Dillon M, et al. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2[J]. Nature Biotechnology, 2019,37:1.
[25]
Callahan B J, McMurdie P J, Rosen M J, et al. DADA2:High-resolution sample inference from Illumina amplicon data[J]. Nature Methods, 2016,13(7):581-583.
[26]
Mo Y Y, Peng F, Gao X F, et al. Low shifts in salinity determined assembly processes and network stability of microeukaryotic plankton communities in a subtropical urban reservoir[J]. Microbiome, 2021,9(1):128.
[27]
Nyirabuhoro P, Liu M, Xiao P, et al. Seasonal variability of conditionally rare taxa in the water column bacterioplankton community of subtropical reservoirs in China[J]. Microbial Ecology, 2020,80(1):14-26.
[28]
Chaffron S, Rehrauer H, Pernthaler J, et al. A global network of coexisting microbes from environmental and whole-genome sequence data[J]. Genome Research, Cold Spring Harbor Laboratory Press, 2010,20(7):947-959.
[29]
Wu B B, Wang P, Devlin A T, et al. Spatial and temporal distribution of bacterioplankton molecular ecological networks in the Yuan River under different human activity intensity[J]. Microorganisms, 2021, 9(7):1532.
[30]
吴波波,王 鹏,丁明军,等.人类活动强度对锦江浮游细菌群落结构的影响[J]. 环境科学学报, 2022,42(8):459-473. Wu B B, Wang P, Ding M J, et al. Effects of anthropogenic intensity on bacterioplankton community structure in Jinjiang River[J]. Acta Scientiae Circumstantiae, 2022,42(8):459-473.
[31]
Fodelianakis S, Lorz A, Valenzuela A, et al. Dispersal homogenizes communities via immigration even at low rates in a simplified synthetic bacterial metacommunity[J]. Nature Communications, 2019, 10:1314.
[32]
Dang H Y, Lovell C R. Microbial surface colonization and biofilm development in marine environments[J]. Microbiology and Molecular Biology Reviews, 2016,80:91-138.
[33]
张 菲,田 伟,孙 峰,等.丹江口库区表层浮游细菌群落组成与PICRUSt功能预测分析[J]. 环境科学, 2019,40(3):1252-1260. Zhang F, Tian W, Sun F, et al. Community structure and predictive functional analysis of surface water bacterioplankton in the Danjiangkou Reservoir[J]. Environmental Science, 2019,40(3):1252- 1260.
[34]
Mora K K, Hultman J, Paulin L, et al. Spatially differing bacterial communities in water columns of the northern Baltic Sea[J]. FEMS Microbiology Ecology, 2010,75:99-110.
[35]
Lewin G, Carlos-Shanley C, Chevrette M, et al. Evolution and ecology of actinobacteria and their bioenergy applications[J]. Annual Review of Microbiology, 2016,70:235-254.
[36]
McCaulou D R, Bales R C, Arnold R G. Effect of temperature-Controlled motility on transport of bacteria and microspheres through saturated sediment[J]. Water Resources Research, 1995,31(2):271-280.
[37]
Savio D, Sinclair L, Ijaz U, et al. Bacterial diversity along a 2600 km river continuum:River bacterioplankton diversity[J]. Environmental Microbiology, 2015,7(12):4994-5007.
[38]
Staley C, Gould T, Wang P, et al. Species sorting and seasonal dynamics primarily shape bacterial communities in the Upper Mississippi River[J]. The Science of the Total Environment, 2015,505:435-45.
[39]
Oliveira L de, Margis R. The source of the river as a nursery for microbial diversity[J]. PloS one, 2015,10:e0120608.
[40]
Sieburth J McN. Seasonal selection of estuarine bacteria by water temperature[J]. Journal of Experimental Marine Biology and Ecology, 1967,1(1):98-121.
[41]
Wan X, Gao Q, Zhao J, et al. Biogeographic patterns of microbial association networks in paddy soil within Eastern China[J]. Soil Biology and Biochemistry, 2020,142:107696.
[42]
Zhang L, Delgado-Baquerizo M, Shi Y, et al. Co-existing water and sediment bacteria are driven by contrasting environmental factors across glacier-fed aquatic systems[J]. Water Research, 2021,198:117139.
[43]
Xun W B, Li W, Xiong W, et al. Diversity-triggered deterministic bacterial assembly constrains community functions[J]. Nature Communications, 2019,10:3833.
[44]
Coyte K Z, Schluter J, Foster K R. The ecology of the microbiome:Networks, competition, and stability[J]. Science, American Association for the Advancement of Science, 2015,350(6261):663-666.
[45]
Hu A, Ju F, Liyuan H, et al. Strong impact of anthropogenic contamination on the co-occurrence patterns of a riverine microbial community[J]. Environmental Microbiology, 2017,19:4993-5009.
[46]
Read D S, Gweon H S, Bowes M J, et al. Catchment-scale biogeography of riverine bacterioplankton[J]. The ISME journal, 2014,9(2):516-526.
[47]
Lin Q, De Vrieze J, Li C, et al. Temperature regulates deterministic processes and the succession of microbial interactions in anaerobic digestion process[J]. Water Research, 2017,123:134-143.
[48]
Zhou J, Deng Y, Shen L, et al. Temperature mediates continental-scale diversity of microbes in forest soils[J]. Nature Communications, Nature Publishing Group, 2016,7(1):12083.
[49]
Cao Y, Zhang C, Rong H, et al. The effect of dissolved oxygen concentration (DO) on oxygen diffusion and bacterial community structure in moving bed sequencing batch reactor (MBSBR)[J]. Water Research, 2017,108:86-94.
[50]
Zhang N, Xiao X, Pei M, et al. Discordant temporal turnovers of sediment bacterial and eukaryotic communities in response to dredging:Nonresilience and functional changes[J]. Applied and Environmental Microbiology, 2017,83(1):e02526-16.
[51]
Yan M, Wang B H, Xu X, et al. Extrusion of dissolved oxygen by exopolysaccharide from leuconostoc mesenteroides and its implications in relief of the oxygen stress[J]. Frontiers in Microbiology, 2018,9:2467.
