期刊
NATURE BIOTECHNOLOGY
卷 34, 期 12, 页码 1256-1263出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/nbt.3704
关键词
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资金
- NIH [R01A1092531]
- Sloan Foundation grant [APSF-2012-10-05]
- US Department of Energy (DOE), Office of Science, Office of Biological and Environmental Research [DE-AC02-05CH11231, DE-SC0004918]
Culture-independent microbiome studies have increased our understanding of the complexity and metabolic potential of microbial communities. However, to understand the contribution of individual microbiome members to community functions, it is important to determine which bacteria are actively replicating. We developed an algorithm, iRep, that uses draft-quality genome sequences and single time-point metagenome sequencing to infer microbial population replication rates. The algorithm calculates an index of replication (iRep) based on the sequencing coverage trend that results from bi-directional genome replication from a single origin of replication. We apply this method to show that microbial replication rates increase after antibiotic administration in human infants. We also show that uncultivated, groundwater-associated, Candidate Phyla Radiation bacteria only rarely replicate quickly in subsurface communities undergoing substantial changes in geochemistry. Our method can be applied to any genome-resolved microbiome study to track organism responses to varying conditions, identify actively growing populations and measure replication rates for use in modeling studies.
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