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DOI10.1111/ele.12630
The interconnected rhizosphere: High network complexity dominates rhizosphere assemblages
Shi S.; Nuccio E.E.; Shi Z.J.; He Z.; Zhou J.; Firestone M.K.
发表日期2016
ISSN1461-023X
EISSN1461-0248
卷号19期号:8
英文摘要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. © 2016 John Wiley & Sons Ltd/CNRS.
英文关键词Community ecology; Keystone species; Microbial ecology; Microbial interactions; Microbial networks; Quorum sensing; Random matrix theory; Rhizosphere
学科领域Avena fatua; Bacteria (microorganisms); bacterial RNA; RNA 16S; Avena; bacterium; biodiversity; biological model; classification; genetics; microbiology; plant root; Avena; Bacteria; Biodiversity; Models, Biological; Plant Roots; RNA, Bacterial; RNA, Ribosomal, 16S; Soil Microbiology
语种英语
scopus关键词Avena fatua; Bacteria (microorganisms); bacterial RNA; RNA 16S; Avena; bacterium; biodiversity; biological model; classification; genetics; microbiology; plant root; Avena; Bacteria; Biodiversity; Models, Biological; Plant Roots; RNA, Bacterial; RNA, Ribosomal, 16S; Soil Microbiology
来源期刊Ecology Letters
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/118522
作者单位Department of Environmental Science, Policy and Management, University of California, Berkeley, CA 94720, United States; Department of Botany and Microbiology, Institute for Environmental Genomics, University of Oklahoma, Norman, OK 73019, United States; Nuclear and Chemical Sciences Division, Lawrence Livermore National Laboratory, Livermore, CA 94551, United States; Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
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Shi S.,Nuccio E.E.,Shi Z.J.,et al. The interconnected rhizosphere: High network complexity dominates rhizosphere assemblages[J],2016,19(8).
APA Shi S.,Nuccio E.E.,Shi Z.J.,He Z.,Zhou J.,&Firestone M.K..(2016).The interconnected rhizosphere: High network complexity dominates rhizosphere assemblages.Ecology Letters,19(8).
MLA Shi S.,et al."The interconnected rhizosphere: High network complexity dominates rhizosphere assemblages".Ecology Letters 19.8(2016).
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