Toward Understanding the Dynamics of Microbial Communities in an Estuarine System

Weipeng Zhang, Salim Bougouffa, Yong Wang, On On Lee, Jiangke Yang, Colin Chan, Xingyu Song, Pei-Yuan Qian

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

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.
Original languageEnglish (US)
Pages (from-to)e94449
JournalPLoS ONE
Volume9
Issue number4
DOIs
StatePublished - Apr 14 2014

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): SA-C0040, UK-C0016
Acknowledgements: 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.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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