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Measurement of bacterial replication rates in microbial communities
by
Olm, Matthew R
, Thomas, Brian C
, Banfield, Jillian F
, Brown, Christopher T
in
45
/ 45/23
/ 60 APPLIED LIFE SCIENCES
/ 631/114
/ 631/326
/ 631/326/2565/2134
/ 631/326/2565/2142
/ 704/158/1745
/ Agriculture
/ Algorithms
/ analysis
/ Bacteria
/ Bacteria - genetics
/ Bacteria - isolation & purification
/ Bacterial Load - genetics
/ Bacterial Load - methods
/ BASIC BIOLOGICAL SCIENCES
/ Bioinformatics
/ Biomedical Engineering/Biotechnology
/ Biomedicine
/ Biotechnology
/ Cell Proliferation - genetics
/ Chromosome Mapping - methods
/ DNA replication
/ DNA sequencing
/ Genetic aspects
/ Genome, Bacterial - genetics
/ Genomes
/ Genomics
/ Geochemistry
/ Infants
/ Life Sciences
/ MATHEMATICS AND COMPUTING
/ Methods
/ Microbial activity
/ Microbial colonies
/ Microbial Consortia - physiology
/ Microbiology
/ Observations
/ Reproducibility of Results
/ Sensitivity and Specificity
2016
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Measurement of bacterial replication rates in microbial communities
by
Olm, Matthew R
, Thomas, Brian C
, Banfield, Jillian F
, Brown, Christopher T
in
45
/ 45/23
/ 60 APPLIED LIFE SCIENCES
/ 631/114
/ 631/326
/ 631/326/2565/2134
/ 631/326/2565/2142
/ 704/158/1745
/ Agriculture
/ Algorithms
/ analysis
/ Bacteria
/ Bacteria - genetics
/ Bacteria - isolation & purification
/ Bacterial Load - genetics
/ Bacterial Load - methods
/ BASIC BIOLOGICAL SCIENCES
/ Bioinformatics
/ Biomedical Engineering/Biotechnology
/ Biomedicine
/ Biotechnology
/ Cell Proliferation - genetics
/ Chromosome Mapping - methods
/ DNA replication
/ DNA sequencing
/ Genetic aspects
/ Genome, Bacterial - genetics
/ Genomes
/ Genomics
/ Geochemistry
/ Infants
/ Life Sciences
/ MATHEMATICS AND COMPUTING
/ Methods
/ Microbial activity
/ Microbial colonies
/ Microbial Consortia - physiology
/ Microbiology
/ Observations
/ Reproducibility of Results
/ Sensitivity and Specificity
2016
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Do you wish to request the book?
Measurement of bacterial replication rates in microbial communities
by
Olm, Matthew R
, Thomas, Brian C
, Banfield, Jillian F
, Brown, Christopher T
in
45
/ 45/23
/ 60 APPLIED LIFE SCIENCES
/ 631/114
/ 631/326
/ 631/326/2565/2134
/ 631/326/2565/2142
/ 704/158/1745
/ Agriculture
/ Algorithms
/ analysis
/ Bacteria
/ Bacteria - genetics
/ Bacteria - isolation & purification
/ Bacterial Load - genetics
/ Bacterial Load - methods
/ BASIC BIOLOGICAL SCIENCES
/ Bioinformatics
/ Biomedical Engineering/Biotechnology
/ Biomedicine
/ Biotechnology
/ Cell Proliferation - genetics
/ Chromosome Mapping - methods
/ DNA replication
/ DNA sequencing
/ Genetic aspects
/ Genome, Bacterial - genetics
/ Genomes
/ Genomics
/ Geochemistry
/ Infants
/ Life Sciences
/ MATHEMATICS AND COMPUTING
/ Methods
/ Microbial activity
/ Microbial colonies
/ Microbial Consortia - physiology
/ Microbiology
/ Observations
/ Reproducibility of Results
/ Sensitivity and Specificity
2016
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Measurement of bacterial replication rates in microbial communities
Journal Article
Measurement of bacterial replication rates in microbial communities
2016
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Overview
Replication rates of bacteria in both human and environmental microbiomes are measured without reference genome sequences.
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.
Publisher
Nature Publishing Group US,Nature Publishing Group,Springer Nature
Subject
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