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    Toward Understanding the Dynamics of Microbial Communities in an Estuarine System

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    Type
    Article
    Authors
    Zhang, Weipeng
    Bougouffa, Salim cc
    Wang, Yong
    Lee, On On
    Yang, Jiangke
    Chan, Colin
    Song, Xingyu
    Qian, Pei-Yuan cc
    KAUST Department
    Competitive Research Funds
    Computational Bioscience Research Center (CBRC)
    OCRF- Special Academic Partnership
    Office of the VP
    KAUST Grant Number
    SA-C0040
    UK-C0016
    Date
    2014-04-14
    Permanent link to this record
    http://hdl.handle.net/10754/550216
    
    Metadata
    Show full item record
    Abstract
    Community assembly theories such as species sorting theory provide a framework for understanding the structures and dynamics of local communities. The effect of theoretical mechanisms can vary with the scales of observation and effects of specific environmental factors. Based on 16S rRNA gene tag pyrosequencing, different structures and temporal succession patterns were discovered between the surface sediments and bottom water microbial communities in the Pearl River Estuary (PRE). The microbial communities in the surface sediment samples were more diverse than those in the bottom water samples, and several genera were specific for the water or sediment communities. Moreover, water temperature was identified as the main variable driving community dynamics and the microbial communities in the sediment showed a greater temporal change. We speculate that nutrient-based species sorting and bacterial plasticity to the temperature contribute to the variations observed between sediment and water communities in the PRE. This study provides a more comprehensive understanding of the microbial community structures in a highly dynamic estuarine system and sheds light on the applicability of ecological theoretical mechanisms.
    Citation
    Toward Understanding the Dynamics of Microbial Communities in an Estuarine System 2014, 9 (4):e94449 PLoS ONE
    Sponsors
    This study was supported by the National Basic Research Program of China (973 Program, No. 2012CB417304), COMAR program of China (COMRRDA12SC02) and awards from the Sanya Institute of Deep Sea Science and Engineering (SIDSSE-201206, SIDSSE-BR-201303 and SIDSSE-201305) and the King Abdullah University of Science and Technology (SA-C0040/UK-C0016). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
    Publisher
    Public Library of Science (PLoS)
    Journal
    PLoS ONE
    DOI
    10.1371/journal.pone.0094449
    PubMed ID
    24732211
    PubMed Central ID
    PMC3986090
    Additional Links
    http://dx.plos.org/10.1371/journal.pone.0094449
    ae974a485f413a2113503eed53cd6c53
    10.1371/journal.pone.0094449
    Scopus Count
    Collections
    Computational Bioscience Research Center (CBRC); Publications Acknowledging KAUST Support

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