globalchange  > 气候减缓与适应
DOI: 10.1111/ele.12630
Scopus记录号: 2-s2.0-84973373604
论文题名:
The interconnected rhizosphere: High network complexity dominates rhizosphere assemblages
作者: Shi S.; Nuccio E.E.; Shi Z.J.; He Z.; Zhou J.; Firestone M.K.
刊名: Ecology Letters
ISSN: 1461023X
EISSN: 1461-0248
出版年: 2016
语种: 英语
英文关键词: Community ecology ; Keystone species ; Microbial ecology ; Microbial interactions ; Microbial networks ; Quorum sensing ; Random matrix theory ; Rhizosphere
Scopus关键词: 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 ; Avena fatua ; Bacteria (microorganisms)
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.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/107831
Appears in Collections:气候减缓与适应

Files in This Item:

There are no files associated with this item.


作者单位: Department of Environmental Science, Policy and Management University of California Berkeley 94720CA USA; Department of Botany and Microbiology Institute for Environmental Genomics University of Oklahoma Norman 73019OK USA; Nuclear and Chemical Sciences Division Lawrence Livermore National Laboratory Livermore 94551CA USA; Earth Sciences Division Lawrence Berkeley National Laboratory Berkeley 94720CA USA; State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China

Recommended Citation:
Shi S.,Nuccio E.E.,Shi Z.J.,et al. The interconnected rhizosphere: High network complexity dominates rhizosphere assemblages[J]. Ecology Letters,2016-01-01
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Shi S.]'s Articles
[Nuccio E.E.]'s Articles
[Shi Z.J.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Shi S.]'s Articles
[Nuccio E.E.]'s Articles
[Shi Z.J.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Shi S.]‘s Articles
[Nuccio E.E.]‘s Articles
[Shi Z.J.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.