The interconnected rhizosphere: High network complexity dominates rhizosphere assemblages

While interactions between roots and microorganisms have been intensively studied, we know little about interactions among root‐associated microbes. We used random matrix theory‐based network analysis of 16S rRNA genes to identify bacterial networks associated with wild oat (Avena fatua) over two se...

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Bibliographic Details
Published in:Ecology letters Vol. 19; no. 8; pp. 926 - 936
Main Authors: Shi, Shengjing, Nuccio, Erin E., Shi, Zhou J., He, Zhili, Zhou, Jizhong, Firestone, Mary K.
Format: Journal Article
Language:English
Published: England Blackwell Publishing Ltd 01-08-2016
Wiley
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Summary:While interactions between roots and microorganisms have been intensively studied, we know little about interactions among root‐associated microbes. We used random matrix theory‐based network analysis of 16S rRNA genes to identify bacterial networks associated with wild oat (Avena fatua) over two seasons in greenhouse microcosms. Rhizosphere networks were substantially more complex than those in surrounding soils, indicating the rhizosphere has a greater potential for interactions and niche‐sharing. Network complexity increased as plants grew, even as diversity decreased, highlighting that community organisation is not captured by univariate diversity. Covariations were predominantly positive (> 80%), suggesting that extensive mutualistic interactions may occur among rhizosphere bacteria; we identified quorum‐based signalling as one potential strategy. Putative keystone taxa often had low relative abundances, suggesting low‐abundance taxa may significantly contribute to rhizosphere function. Network complexity, a previously undescribed property of the rhizosphere microbiome, appears to be a defining characteristic of this habitat.
Bibliography: 
istex:3A0602470EDA172AC5E2A1ADF99F1BA940DEE029
Office of Biological and Environmental Research Genomic Science Program - No. DE-SC0004730; No. DE-SC0010570
ArticleID:ELE12630
Office of Science
U.S. Department of Energy (DOE) - No. SCW1421; No. 00008322
ark:/67375/WNG-TCL1656H-M
Equal contribution
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
AC52-07NA27344; AC02-05CH11231; SC0004730; SC0010570; SCW1421; 00008322
LLNL-JRNL-679806
USDOE Office of Science (SC), Biological and Environmental Research (BER)
ISSN:1461-023X
1461-0248
DOI:10.1111/ele.12630