Differences in substrate use linked to divergent carbon flow during litter decomposition

FEMS Microbiol Ecol. 2020 Aug 1;96(8):fiaa135. doi: 10.1093/femsec/fiaa135.

Abstract

Discovering widespread microbial processes that create variation in soil carbon (C) cycling within ecosystems may improve soil C modeling. Toward this end, we screened 206 soil communities decomposing plant litter in a common garden microcosm environment and examined features linked to divergent patterns of C flow. C flow was measured as carbon dioxide (CO2) and dissolved organic carbon (DOC) from 44-days of litter decomposition. Two large groups of microbial communities representing 'high' and 'low' DOC phenotypes from original soil and 44-day microcosm samples were down-selected for fungal and bacterial profiling. Metatranscriptomes were also sequenced from a smaller subset of communities in each group. The two groups exhibited differences in average rate of CO2 production, demonstrating that the divergent patterns of C flow arose from innate functional constraints on C metabolism, not a time-dependent artefact. To infer functional constraints, we identified features - traits at the organism, pathway or gene level - linked to the high and low DOC phenotypes using RNA-Seq approaches and machine learning approaches. Substrate use differed across the high and low DOC phenotypes. Additional features suggested that divergent patterns of C flow may be driven in part by differences in organism interactions that affect DOC abundance directly or indirectly by controlling community structure.

Keywords: bacteriovores; carbon cycling; carbon dioxide; dissolved organic carbon; effect traits; fungivores; machine learning; metatranscriptome; microbiome; oligotrophs; physiology; soil.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Bacteria / genetics
  • Carbon Dioxide
  • Microbiota*
  • Plants
  • Soil Microbiology
  • Soil*

Substances

  • Soil
  • Carbon Dioxide