Seasonal differences of lake bacterial community structures and their driving mechanisms in the northeastern of the Qinghai-Tibet Plateau

被引:3
|
作者
Wang D. [1 ]
Huang Y. [1 ,2 ,3 ,4 ]
Yang H. [1 ,3 ,4 ]
机构
[1] School of Hydraulic and Electric Engineering, Qinghai University, Xining
[2] State Key laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining
[3] Provincial Laboratory of Ecological Protection and High Quality Development in the Upper Yellow River, Qinghai University, Xining
[4] Key Laboratory of Water Ecological Remediation and Protection at Headwater Regions of Big Rivers, Ministry of Water Resources, Qinghai University, Xining
来源
Hupo Kexue/Journal of Lake Sciences | 2023年 / 35卷 / 01期
关键词
bacterial community structures; driving factors; lake; neutral model; null model; Qinghai-Tibet Plateau;
D O I
10.18307/2023.0121
中图分类号
学科分类号
摘要
Microorganisms are important organic components of lake ecosystems. Understanding the differences in bacterial community structures, environmental driving factors and their community assembly processes in different periods in the lakes on the Qinghai-Tibet Plateau (QTP) has significant guiding role for water ecological management of the plateau lakes. Water samples were collected from five lakes on the northeastern of the QTP in June and December in 2020 for investigating the differences of community structures, environmental driving factors as well as the contributions of neutral processes, deterministic processes, and stochastic processes of bacterial communities in the plateau lakes between non-freezing and freezing periods using the high throughput sequencing, statistical analysis, and the model analysis. Results show that; (1) The Chao 1 richness index, Simpson, and Shannon diversity indices of bacterial communities were lower in non-freezing periods than those in freezing periods. Spearman correlation analysis revealed that water temperature and altitude were the most important factors in influencing Chao 1 richness index and diversity indices in non-freezing periods, while total nitrogen had a significant relationship with bacterial Chao 1 richness index and diversity indices in freezing periods. (2) The predominant phylum was Proteobacteria both in non-freezing and freezing periods. High average relative abundances of Bacteroidetes, Actinobacteria and Firmicutes were observed in non-freezing periods. Additionally, the results of principal coordinate analysis (PCoA) and similarity analysis showed that there were significant differences in the bacterial community compositions in non-freezing and freezing periods. (3) Results of redundancy analysis indicated that driving factors of bacterial community compositions were also different between non-freezing and freezing periods, which were in the order of total nitrogen>latitude>total dissolved solid>longitude>dissolved organic carbon in non-freezing periods and altitude>dissolved oxygen> dissolved organic carbon>pH in freezing periods, respectively. (4) Variations of bacterial communities were controlled by neutral process which was stronger in freezing periods than that in non-freezing periods and a higher dispersal rate was found in freezing periods than that in non-freezing periods (freezing periods; 0.289; non-freezing periods; 0.130) which reflected that the dispersal ability of bacterial species was higher in freezing periods than that in non-freezing periods. Dispersal limitation of stochastic processes shown to be a dominating process in the assembly of the bacterial communities both in non-freezing (contribution=54.74%) and freezing (contribution= 55.56%) periods. Our study has analyzed the characteristics and driving mechanisms of bacterial communities in the plateau lakes in two different periods and will provide guidance for protection and management of the water resources in the plateau and basis for understanding bacterial community assembly processes. © 2023 by Journal of Lake Sciences.
引用
收藏
页码:267 / 278
页数:11
相关论文
共 44 条
  • [1] Xie GJ, Tang XM, Shao KQ, Et al., Spatiotemporal patterns and environmental drivers of total and active bacterial abundances in Lake Taihu, China, Ecological Indicators, 114, (2020)
  • [2] Gu ZQ, Liu KS, Pedersen MW, Et al., Community assembly processes underlying the temporal dynamics of glacial stream and lake bacterial communities, Science of the Total Environment, 761, (2021)
  • [3] Roguet A, Laigle GS, Therial C, Et al., Neutral community model explains the bacterial community assembly in freshwater lakes, FEMS Microbiology Ecology, 91, 11, (2015)
  • [4] Chen WD, Ren KX, Isabwe A, Et al., Correction to
  • [5] Stochastic processes shape microeukaryotic community assembly in a subtropical river across wet and dry seasons, Microbiome, 7, (2019)
  • [6] Mo YY, Peng F, Gao XF, Et al., Low shifts in salinity determined assembly processes and network stability of microeukaryotic plankton communities in a subtropical urban reservoir, Microbiome, 9, 1, (2021)
  • [7] Sloan WT, Lunn M, Woodcock S, Et al., Quantifying the roles of immigration and chance in shaping prokaryote community structure, Environmental Microbiology, 8, 4, pp. 732-740, (2006)
  • [8] Hubbell SP., The unified neutral theory of biodiversity and biogeography, (2001)
  • [9] Woodcock S, van der Gast CJ, Bell T, Et al., Neutral assembly of bacterial communities, FEMS Microbiology Ecology, 62, 2, pp. 171-180, (2007)
  • [10] Liu T, Zhang AN, Wang JW, Et al., Integrated biogeography of planktonic and sedimentary bacterial communities in the Yangtze River, Microbiome, 6, 1, (2018)