Literature DB >> 28523397

The heterogeneity of composition and assembly processes of the microbial community between different nutrient loading lake zones in Taihu Lake.

Dayong Zhao1,2,3, Xinyi Cao4,5,6, Rui Huang4,5,6, Jin Zeng6, Feng Shen4,5,6, Huimin Xu4,5,6, Sichen Wang4,5,6, Xiaowei He4,5,6, Zhongbo Yu7,8.   

Abstract

To investigate the differences in the microbial community composition and assembly process in two lake zones (Meiliang Bay (MLB) and Xukou Bay (XKB) in Taihu Lake, China) with different nutrient loadings, water samples were collected. Both the 16S ribosomal RNA (rRNA) gene for the bacterial community and the 18S rRNA gene for the microeukaryote community were investigated using the Illumina second-generation sequencing platform (2 × 250 paired-end). The results indicated that both the bacterioplankton and microeukaryote community composition derived from the two lake zones were significantly different. Significantly higher operational taxonomic unit (OTU) richness (P < 0.01) and phylogenetic diversity (P < 0.05) were found for the bacterioplankton community of MLB. However, a comparable alpha diversity was found between the microeukaryote communities of MLB and XKB (P > 0.05). Environmental factors significantly affected the community compositions in XKB for both the bacterioplankton and microeukaryotes. However, they did not significantly influence the microbial community composition in MLB, except for a weak correlation between dissolved organic carbon (DOC) and the microeukaryote community. The microbial communities tended to be more phylogenetically clustered than expected by chance in the two lake zones. Moreover, the results of the phylogenetic structure suggest that deterministic processes played overwhelming roles in driving the assembly of both the bacterioplankton and microeukaryote community in XKB.

Entities:  

Keywords:  Assembly process; Bacterioplankton; Community composition; Microeukaryotes; Nutrient loading; Taihu Lake

Mesh:

Substances:

Year:  2017        PMID: 28523397     DOI: 10.1007/s00253-017-8327-0

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  7 in total

1.  Microbial Community Dynamics and Assembly Follow Trajectories of an Early-Spring Diatom Bloom in a Semienclosed Bay.

Authors:  Huajun Zhang; Kai Wang; Lixin Shen; Heping Chen; Fanrong Hou; Xiaoyan Zhou; Demin Zhang; Xiangyu Zhu
Journal:  Appl Environ Microbiol       Date:  2018-08-31       Impact factor: 4.792

2.  Variations of bacterial community during the decomposition of Microcystis under different temperatures and biomass.

Authors:  Shuren Wang; Dayong Zhao; Jin Zeng; Huimin Xu; Rui Huang; Congcong Jiao; Lin Guo
Journal:  BMC Microbiol       Date:  2019-09-04       Impact factor: 3.605

3.  Stochastic processes shape microeukaryotic community assembly in a subtropical river across wet and dry seasons.

Authors:  Weidong Chen; Kexin Ren; Alain Isabwe; Huihuang Chen; Min Liu; Jun Yang
Journal:  Microbiome       Date:  2019-10-22       Impact factor: 14.650

4.  Using null models to compare bacterial and microeukaryotic metacommunity assembly under shifting environmental conditions.

Authors:  Máté Vass; Anna J Székely; Eva S Lindström; Silke Langenheder
Journal:  Sci Rep       Date:  2020-02-12       Impact factor: 4.379

5.  The balance between deterministic and stochastic processes in structuring lake bacterioplankton community over time.

Authors:  Pablo Aguilar; Ruben Sommaruga
Journal:  Mol Ecol       Date:  2020-07-24       Impact factor: 6.185

6.  Bacterial Community Spacing Is Mainly Shaped by Unique Species in the Subalpine Natural Lakes of China.

Authors:  Jinxian Liu; Jiahe Su; Meiting Zhang; Zhengming Luo; Xiaoqi Li; Baofeng Chai
Journal:  Front Microbiol       Date:  2021-07-01       Impact factor: 5.640

7.  Heterogeneity of interactions of microbial communities in regions of Taihu Lake with different nutrient loadings: A network analysis.

Authors:  Xinyi Cao; Dayong Zhao; Huimin Xu; Rui Huang; Jin Zeng; Zhongbo Yu
Journal:  Sci Rep       Date:  2018-06-11       Impact factor: 4.379

  7 in total

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