The interconnected rhizosphere: High network complexity dominates rhizosphere assemblages
University of Oklahoma · University of California, Berkeley · +4 more institutions
Abstract
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%),…
Citation impact
- FWCI
- 47.30
- Percentile
- 100%
- References
- 49
Authors
6- SSShengjing Shi
University of Oklahoma, University of California, Berkeley
- ENErin Nuccio
Lawrence Livermore National Laboratory, University of California, Berkeley
- ZJZhou Jason Shi
University of Oklahoma
- ZHZhili He
University of Oklahoma
- JZJizhong Zhou
Lawrence Berkeley National Laboratory, State Key Joint Laboratory of Environment Simulation and Pollution Control, University of Oklahoma, Tsinghua University
Topics & keywords
- Rhizosphere
- Ecology
- Biology
- Environmental science
- Paleontology
- Life in Land
Funding
- UDU.S. Department of EnergyAwards: DE-SC0010570, SC0010570, 00008322, AC52-07NA27344, SCW1421
- UOUniversity of Oklahoma
- OOOffice of ScienceAward: DE-AC52-07NA27344
- BABiological and Environmental ResearchAwards: DE‐SC0004730, DE-AC52-07NA27344, DE‐SC0010570, SCW1421, DE-SC0010570
- LLLawrence Livermore National LaboratoryAwards: DE-AC52-07NA27344, AC52-07NA27344