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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Published in: | Ecology letters Vol. 19; no. 8; pp. 926 - 936 |
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Main Authors: | , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
England
Blackwell Publishing Ltd
01-08-2016
Wiley |
Subjects: | |
Online Access: | Get full text |
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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. |
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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 |