Title |
Measurement of bacterial replication rates in microbial communities
|
---|---|
Published in |
Nature Biotechnology, November 2016
|
DOI | 10.1038/nbt.3704 |
Pubmed ID | |
Authors |
Christopher T Brown, Matthew R Olm, Brian C Thomas, Jillian F Banfield |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 35 | 30% |
Germany | 4 | 3% |
India | 3 | 3% |
Netherlands | 3 | 3% |
Denmark | 3 | 3% |
United Kingdom | 3 | 3% |
Australia | 3 | 3% |
Spain | 2 | 2% |
Japan | 2 | 2% |
Other | 15 | 13% |
Unknown | 44 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 65 | 56% |
Members of the public | 48 | 41% |
Practitioners (doctors, other healthcare professionals) | 2 | 2% |
Science communicators (journalists, bloggers, editors) | 1 | <1% |
Unknown | 1 | <1% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | <1% |
Sweden | 1 | <1% |
Germany | 1 | <1% |
China | 1 | <1% |
Canada | 1 | <1% |
Unknown | 544 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 154 | 28% |
Researcher | 124 | 22% |
Student > Master | 55 | 10% |
Student > Bachelor | 40 | 7% |
Student > Doctoral Student | 28 | 5% |
Other | 67 | 12% |
Unknown | 84 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 169 | 31% |
Biochemistry, Genetics and Molecular Biology | 110 | 20% |
Immunology and Microbiology | 46 | 8% |
Environmental Science | 42 | 8% |
Earth and Planetary Sciences | 15 | 3% |
Other | 61 | 11% |
Unknown | 109 | 20% |