The interconnected rhizosphere: High network complexity dominates rhizosphere assemblages

• 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
• Subjects: Avena - microbiology; Avena fatua; Bacteria - classification; Bacteria - genetics; Biodiversity; Biogeochemistry; Botany; Community ecology; ENVIRONMENTAL SCIENCES; genes; greenhouses; keystone species; microbial ecology; microbial interactions; microbial networks; Microbiology; microbiome; Microorganisms; Models, Biological; oats; Plant ecology; Plant Roots; quorum sensing; random matrix theory; Rhizosphere; rhizosphere bacteria; ribosomal RNA; RNA, Bacterial - genetics; RNA, Ribosomal, 16S - genetics; roots; soil; Soil Microbiology; Soil microorganisms; Community ecology; quorum sensing; random matrix theory; microbial interactions; keystone species; microbial ecology; microbial networks; rhizosphere

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...