2020
DOI: 10.5194/bg-2020-59
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Differential effects of redox conditions on the decomposition of litter and soil organic matter

Abstract: Abstract. Soil redox conditions exert substantial influence on biogeochemical processes in terrestrial ecosystems. Humid tropical forest soils are often characterized by fluctuating redox dynamics, yet how these dynamics affect patterns in soil versus litter decomposition and associated CO2 fluxes is not well understood. We used a 13C-labeled litter addition to explicitly follow the decomposition of litter-derived vs. native soil-derived organic matter in response to four different soil redox regimes –… Show more

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“…Understanding the dynamics of microbial metabolism in soils is of great interest due to its critical role in carbon cycling. , Organic matter in soils is composed of plant, microbial, and animal detritus at different degrees of decomposition by microorganisms. In addition to producing carbon dioxide (CO 2 ), microbial organic matter decomposition involves metabolic intermediates or products, including short-chain carboxylic acids (SCCAs). Previous soil studies have relied on measuring CO 2 effluxes as a proxy for microbial metabolism, , analyzing phospholipid fatty acids to deduce microbial phenotypes, and stable isotope probing of DNA, RNA, and (meta)­proteomics to evaluate metabolic potentials of the microbial populations. , However, these measurements do not capture explicitly the metabolic activities, especially within the context of redox-influenced metabolism. , Metabolomics, which involves the profiling of metabolites directly involved in cellular metabolic reactions, is an emerging approach for obtaining metabolite-level information on soil microbial activities. Intracellular metabolomics is widely used to elucidate metabolic pathways in pure cultures of microbial isolates. However, metabolic functions in mixed cultures such as those found in soils tend to be different from those in microbial isolates. ,, Extracellular metabolomics (also termed exometabolomics) has been employed to probe metabolic consumption versus secretions in response to changes in environmental conditions or microbial community. ,, We explore the application of a 13 C-assisted exometabolomics approach to evaluate water-extracted SCCAs as redox-dependent metabolic proxies in soils.…”
Section: Introductionmentioning
confidence: 99%
“…Understanding the dynamics of microbial metabolism in soils is of great interest due to its critical role in carbon cycling. , Organic matter in soils is composed of plant, microbial, and animal detritus at different degrees of decomposition by microorganisms. In addition to producing carbon dioxide (CO 2 ), microbial organic matter decomposition involves metabolic intermediates or products, including short-chain carboxylic acids (SCCAs). Previous soil studies have relied on measuring CO 2 effluxes as a proxy for microbial metabolism, , analyzing phospholipid fatty acids to deduce microbial phenotypes, and stable isotope probing of DNA, RNA, and (meta)­proteomics to evaluate metabolic potentials of the microbial populations. , However, these measurements do not capture explicitly the metabolic activities, especially within the context of redox-influenced metabolism. , Metabolomics, which involves the profiling of metabolites directly involved in cellular metabolic reactions, is an emerging approach for obtaining metabolite-level information on soil microbial activities. Intracellular metabolomics is widely used to elucidate metabolic pathways in pure cultures of microbial isolates. However, metabolic functions in mixed cultures such as those found in soils tend to be different from those in microbial isolates. ,, Extracellular metabolomics (also termed exometabolomics) has been employed to probe metabolic consumption versus secretions in response to changes in environmental conditions or microbial community. ,, We explore the application of a 13 C-assisted exometabolomics approach to evaluate water-extracted SCCAs as redox-dependent metabolic proxies in soils.…”
Section: Introductionmentioning
confidence: 99%