Stochastic processes shape the biogeographic variations in core bacterial communities between aerial and belowground compartments of common bean
Open Access
- 7 September 2020
- journal article
- research article
- Published by Wiley in Environmental Microbiology
- Vol. 23 (2) , 949-964
Abstract
Although studies of biogeography in soil bacterial communities have attracted considerable attention, the generality of these patterns along with assembly processes and underlying drivers is poorly understood in the inner tissues of plants. Plant tissues provide unique ecological habitats for microorganisms, which play an essential role in plant performance. Here, we compared core bacterial communities among five soil–plant associated compartments of common bean across five sampling sites in China. Neutral and null modelling consistently suggested that stochastic processes dominated the core community assembly processes and escalated from the belowground compartments to the inner tissues of aerial plant parts. The multiple distance‐decay relationships also varied and had flattened patterns in the stem endosphere, which were shaped by distinct environmental factors in each compartment. Coexistence patterns also varied in topological features, in addition with the sparsest networks in the stem endosphere resulted from the interaction with the stochastic processes. This study considerably expanded our understanding of various biogeographic patterns, assembly processes, and the underlying mechanisms of core bacterial communities between aerial and belowground compartments of common bean. That will provide a scientific basis for the reasonable regulation of core bacterial consortia to get better plant performance.Keywords
Funding Information
- National Natural Science Foundation of China (41830755, 41807030)
This publication has 73 references indexed in Scilit:
- Geographic distance and pH drive bacterial distribution in alkaline lake sediments across Tibetan PlateauEnvironmental Microbiology, 2012
- Using network analysis to explore co-occurrence patterns in soil microbial communitiesThe ISME Journal, 2011
- UCHIME improves sensitivity and speed of chimera detectionBioinformatics, 2011
- VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in RBMC Bioinformatics, 2011
- Picante: R tools for integrating phylogenies and ecologyBioinformatics, 2010
- QIIME allows analysis of high-throughput community sequencing dataNature Methods, 2010
- Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial TaxonomyApplied and Environmental Microbiology, 2007
- Global patterns in bacterial diversityProceedings of the National Academy of Sciences, 2007
- Microbial biogeography: putting microorganisms on the mapNature Reviews Microbiology, 2006
- VEGAN, a package of R functions for community ecologyJournal of Vegetation Science, 2003