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Microbial community composition controls carbon flux across litter types in early phase of litter decomposition

Journal Article · · Environmental Microbiology
Leaf litter decomposition is a major carbon input to soil, making it a target for increasing soil carbon storage through microbiome engineering. We expand upon previous findings to show with multiple leaf litter types that microbial composition can drive variation in carbon flow from litter decomposition and specific microbial community features are associated with synonymous patterns of carbon flow among litter types. Although plant litter type selects for different decomposer communities, within a litter type, microbial composition drives variation in the quantity of dissolved organic carbon (DOC) measured at the end of the decomposition period. Bacterial richness was negatively correlated with DOC quantity, supporting our hypothesis that across multiple litter types there are common microbial traits linked to carbon flow patterns. Variation in DOC abundance (i.e. high versus low DOC) driven by microbial composition is tentatively due to differences in bacterial metabolism of labile compounds, rather than catabolism of non-labile substrates such as lignin. The temporal asynchrony of metabolic processes across litter types may be a substantial impediment to discovering more microbial features common to synonymous patterns of carbon flow among litters. Overall, our findings support the concept that carbon flow may be programmed by manipulating microbial community composition.
Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE Office of Science (SC). Biological and Environmental Research (BER)
Grant/Contract Number:
89233218CNA000001
OSTI ID:
1826519
Report Number(s):
LA-UR--21-24294
Journal Information:
Environmental Microbiology, Journal Name: Environmental Microbiology Journal Issue: 11 Vol. 23; ISSN 1462-2912
Publisher:
WileyCopyright Statement
Country of Publication:
United States
Language:
English

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