Skip to Main content Skip to Navigation
Journal articles

Microbial community functioning during plant litter decomposition

Abstract : Abstract Microbial life in soil is fueled by dissolved organic matter (DOM) that leaches from the litter layer. It is well known that decomposer communities adapt to the available litter source, but it remains unclear if they functionally compete or synergistically address different litter types. Therefore, we decomposed beech, oak, pine and grass litter from two geologically distinct sites in a lab-scale decomposition experiment. We performed a correlative network analysis on the results of direct infusion HR-MS DOM analysis and cross-validated functional predictions from 16S rRNA gene amplicon sequencing and with DOM and metaproteomic analyses. Here we show that many functions are redundantly distributed within decomposer communities and that their relative expression is rapidly optimized to address litter-specific properties. However, community changes are likely forced by antagonistic mechanisms as we identified several natural antibiotics in DOM. As a consequence, the decomposer community is specializing towards the litter source and the state of decomposition (community divergence) but showing similar litter metabolomes (metabolome convergence). Our multi-omics-based results highlight that DOM not only fuels microbial life, but it additionally holds meta-metabolomic information on the functioning of ecosystems.
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-03781927
Contributor : Samuel Chaffron Connect in order to contact the contributor
Submitted on : Tuesday, September 20, 2022 - 6:27:46 PM
Last modification on : Thursday, September 22, 2022 - 3:05:47 AM

Identifiers

Collections

Citation

Simon Schroeter, Damien Eveillard, Samuel Chaffron, Johanna Zoppi, Bernd Kampe, et al.. Microbial community functioning during plant litter decomposition. Scientific Reports, Nature Publishing Group, 2022, 12 (1), pp.7451. ⟨10.1038/s41598-022-11485-1⟩. ⟨hal-03781927⟩

Share

Metrics

Record views

0