期刊
NATURE
卷 521, 期 7551, 页码 208-+出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/nature14238
关键词
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资金
- Office of Science, Office of Biological and Environmental Research, Climate and Environmental [JGI CSP - 152]
- Lawrence Berkeley National Laboratory Laboratory Directed Research & Development (LDRD) grant [DE-AC02-05CH11231]
- Pacific Northwest National Laboratory [DE-AC05-76RL01830]
- Danish National Research Foundation [CENPERM DNRF100]
- Office of Science of the US Department of Energy [DE-AC02-05CH11231]
- Bonanza Creek Long-Term Ecological Research Program - National Science Foundation [DEB 1026415]
- US Department of Agriculture Forest Service, Pacific Northwest Research Station [PNW01-JV112619320-16]
- US Geological Survey Climate RD Program
- Alaska Climate Science Center
- Academy of Finland [135669]
- Direct For Biological Sciences
- Division Of Environmental Biology [1026415] Funding Source: National Science Foundation
- Academy of Finland (AKA) [135669, 135669] Funding Source: Academy of Finland (AKA)
Over 20% of Earth's terrestrial surface is underlain by permafrost with vast stores of carbon that, once thawed, may represent the largest future transfer of carbon from the biosphere to the atmosphere(1). This process is largely dependent on microbial responses, but we know little about microbial activity in intact, let alone in thawing, permafrost. Molecular approaches have recently revealed the identities and functional gene composition of microorganismsin some permafrost soils(2-4) and a rapid shift in functional gene composition during short-term thaw experiments(3). However, the fate of permafrost carbon depends on climatic, hydrological and microbial responses to thaw at decadal scales(5,6). Here we use the combination of several molecular 'omics' approaches to determine the phylogenetic composition of the microbial communities, including several draft genomes of novel species, their functional potential and activity in soils representing different states of thaw: intact permafrost, seasonally thawed active layer and thermokarst bog. The multi-omics strategy reveals a good correlation of process rates to omics data for dominant processes, such as methanogenesis in the bog, as well as novel survival strategies for potentially active microbes in permafrost.
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