Abstract
Soil microbial communities are central players in the global carbon cycle, yet our understanding of how their metabolism affects soil carbon dynamics is limited. Exometabolomics is a very promising approach for characterizing the functioning of soil microbial communities in their environment, and for linking organic carbon in soil to the metabolism of particular microorganisms or taxonomic groups. Despite some technical challenges for community exometabolomics analysis related to the complexity of soil structure, a number of reports demonstrate the utility of this approach. The full potential of soil microbial community exometabolomics will be realized when it can be integrated with other approaches such as metagenomics, metatranscriptomics, and metaproteomics. Such data integration should enable better predictions of the effects of environmental perturbations on soil carbon cycling by soil microorganisms.
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Acknowledgments
T.R.N. gratefully acknowledges support from ENIGMA—Ecosystems and Networks Integrated with Genes and Molecular Assemblies (http://enigma.lbl.gov), a Scientific Focus Area Program at Lawrence Berkeley National Laboratory is based upon work supported by the US Department of Energy, Office of Science, Office of Biological & Environmental Research under contract number DE-AC02-05CH11231. A.L. was supported by the Office of Science, Office of Biological and Environmental Research, of the US Department of Energy, Award No. DE-SC0012627. We thank Katherine Louie for providing the mass spectrometry image of a microbial coculture.
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Lubbe, A., Northen, T. (2016). Exometabolomics for Linking Soil Carbon Dynamics to Microbial Communities. In: Beale, D., Kouremenos, K., Palombo, E. (eds) Microbial Metabolomics. Springer, Cham. https://doi.org/10.1007/978-3-319-46326-1_5
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