4.8 Article

Macroecological distributions of gene variants highlight the functional organization of soil microbial systems

Journal

ISME JOURNAL
Volume 16, Issue 3, Pages 726-737

Publisher

SPRINGERNATURE
DOI: 10.1038/s41396-021-01120-8

Keywords

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Funding

  1. U.S. Department of Energy (DOE), Office of Science, Office of Biological and Environmental Research's (OBER) Systems Biology Research to Advance Sustainable Bioenergy Crop Development [DE-SC0014079]
  2. U.S. National Science Foundation MacroSystems Biology program [NSF EF-1065844]
  3. Office of the Vice President for Research at the University of Oklahoma
  4. National Natural Science Foundation of China [31670614]
  5. Biological Systems Research on the Role of Microbial Communities in Carbon Cycling program [DE-SC0004730, DE-SC001057, DE-SC0004601, DE-SC0010715]
  6. U.S. Department of Energy (DOE) [DE-SC0004730] Funding Source: U.S. Department of Energy (DOE)

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The study used macroecological models to examine the distribution of microbial functional genes in soil systems, revealing different characteristics and distribution patterns of genes.
The recent application of macroecological tools and concepts has made it possible to identify consistent patterns in the distribution of microbial biodiversity, which greatly improved our understanding of the microbial world at large scales. However, the distribution of microbial functions remains largely uncharted from the macroecological point of view. Here, we used macroecological models to examine how the genes encoding the functional capabilities of microorganisms are distributed within and across soil systems. Models built using functional gene array data from 818 soil microbial communities showed that the occupancy-frequency distributions of genes were bimodal in every studied site, and that their rank-abundance distributions were best described by a lognormal model. In addition, the relationships between gene occupancy and abundance were positive in all sites. This allowed us to identify genes with high abundance and ubiquitous distribution (core) and genes with low abundance and limited spatial distribution (satellites), and to show that they encode different sets of microbial traits. Common genes encode microbial traits related to the main biogeochemical cycles (C, N, P and S) while rare genes encode traits related to adaptation to environmental stresses, such as nutrient limitation, resistance to heavy metals and degradation of xenobiotics. Overall, this study characterized for the first time the distribution of microbial functional genes within soil systems, and highlight the interest of macroecological models for understanding the functional organization of microbial systems across spatial scales.

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