bioRxivMicrobiologyPreprint
Discovery of a spatially and temporally persistent core microbiome of the common bean rhizosphere
Abstract
Plants recruit soil microbes that provide nutrients, promote growth and protect against pathogens1-3. However, the full potential of microbial communities for supporting plant health and agriculture is unrealized4-6, in part because rhizosphere members key for plant health are difficult to prioritize7. Microbes that ubiquitously associate with a plant species across large spatial scales and varied soil conditions provide a practical starting point for discovering beneficial members7. Here, we quantified the structures of bacterial/archaeal and fungal communities in the common bean rhizosphere (Phaseolus vulgaris), and assessed its core membership across space and time. To assess a spatial core, two divergent bean genotypes were grown in field conditions across five major growing regions in the United States, and then also compared to eight genotypes grown in Colombian soil. To assess a temporal core, we conducted a time course of rhizosphere and rhizoplane microbiome members over bean development in the field. Surprisingly, there were 48 persistent bacterial taxa that were detected in all samples, inclusive of U.S. and Colombian-grown beans and over plant development, suggesting cosmopolitan enrichment and time-independence. Neutral models of abundance-occupancy relationships and co-occurrence networks show that many of these core taxa are deterministically selected and likely in intimate relationships with the plant. Many of the core taxa were yet-uncultured and affiliated with Proteobacteria; these taxa are prime targets in support of translational plant-microbiome management. More generally, this work reveals that core members of the plant microbiome can have both broad ranges and temporal persistence with their host, suggesting intimate, albeit possibly opportunistic, interactions.
- organism: plant (other)
- assay: metagenomics
- research focus: cell type annotation
- approach: statistical model
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