Literature DB >> 31705158

Coordinated Metacommunity Assembly and Spatial Distribution of Multiple Microbial Kingdoms within a Lake.

So-Yeon Jeong1, Jong-Yun Choi2, Tae Gwan Kim3.   

Abstract

Freshwater planktonic communities comprise a tremendous diversity of microorganisms. This study investigated the distribution patterns of microbial kingdoms (bacteria, fungi, protists, and microbial metazoans) within a lake ecosystem. Water samples were collected from 50 sites along the shoreline in a lake during an early eutrophication period, and MiSeq sequencing was performed with different marker genes. Metacommunity analyses revealed a bimodal occupancy-frequency distribution and a Clementsian gradient persisting throughout all microbial kingdoms, suggesting similar regional processes in all kingdoms. Variation partitioning revealed that environmental characteristics, macrophyte/macroinvertebrate composition, space coordinates, and distance-based Moran's eigenvector maps (dbMEM) together could explain up to 29% of the community variances in microbial kingdoms. Kingdom synchrony results showed strong couplings between kingdoms (R2 ≥ 0.31), except between Fungi and Metazoa (R2 = 0.09). Another variation partitioning revealed that microbial kingdoms could well explain their community variances up to 73%. Interestingly, the kingdom Protista was best synchronized with the other kingdoms. A correlation network showed that positive associations between kingdoms outnumbered the negative ones and that the kingdom Protista acted as a hub among kingdoms. Module analysis showed that network modules included multi-kingdom associations that were prevalent. Our findings suggest that protists coordinate community assembly and distribution of other kingdoms, and inter-kingdom interactions are a key determinant in shaping their community structures in a freshwater lake.

Entities:  

Keywords:  Freshwater lake; Microbial kingdoms; Microbial network; Planktonic community; Spatial dynamics

Year:  2019        PMID: 31705158     DOI: 10.1007/s00248-019-01453-0

Source DB:  PubMed          Journal:  Microb Ecol        ISSN: 0095-3628            Impact factor:   4.552


  2 in total

1.  Spatial Variance of Species Distribution Predicts the Interspecies Interactions within a Microbial Metacommunity.

Authors:  So-Yeon Jeong; Tae Gwan Kim
Journal:  Microb Ecol       Date:  2020-09-18       Impact factor: 4.552

2.  Effects of Plants on Metacommunities and Correlation Networks of Soil Microbial Groups in an Ecologically Restored Wetland.

Authors:  So-Yeon Jeong; Tae Gwan Kim
Journal:  Microb Ecol       Date:  2020-10-23       Impact factor: 4.552

  2 in total

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