Cited by 537Genomics and Phylogenetic StudiesGut microbiota and healthMicrobial Community Ecology and Physiology

inStrain profiles population microdiversity from metagenomic data and sensitively detects shared microbial strains

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Olm, Matthew R., Crits-Christoph, Alexander, Bouma-Gregson, Keith, Firek, Brian A., Morowitz, Michael J., Banfield, Jillian F.·2021·Nature Biotechnology

Abstract

Coexisting microbial cells of the same species often exhibit genetic variation that can affect phenotypes ranging from nutrient preference to pathogenicity. Here we present inStrain, a program that uses metagenomic paired reads to profile intra-population genetic diversity (microdiversity) across whole genomes and compares microbial populations in a microdiversity-aware manner, greatly increasing the accuracy of genomic comparisons when benchmarked against existing methods. We use inStrain to profile >1,000 fecal metagenomes from newborn premature infants and find that siblings share significantly more strains than unrelated infants, although identical twins share no more strains than fraternal siblings. Infants born by cesarean section harbor Klebsiella with significantly higher nucleotide diversity than infants delivered vaginally, potentially reflecting acquisition from hospital rather than maternal microbiomes. Genomic loci that show diversity in individual infants include variants found between other infants, possibly reflecting inoculation from diverse hospital-associated sources. inStrain can be applied to any metagenomic dataset for microdiversity analysis and rigorous strain comparison.

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  • The advancement of computational tools for shotgun metagenomic sequencing has enabled profiling of microbes taxonomically and quantitatively and access to genetic information at subspecies and strain resolutions.

    “The advancement of computational tools for the analysis of shotgun metagenomic sequencing has enabled researchers to not only profile microbes taxonomically and quantitatively but also to access their genetic information at subspecies and strain resolutions.”

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Authors
Olm, M. R., Crits-Christoph, A., Bouma-Gregson, K., Firek, B. A., Morowitz, M. J., & Banfield, J. F.
Affiliations
  • Stanford Medicine (US)
  • University of Pittsburgh (US)
  • Lawrence Berkeley National Laboratory (US)
Corresponding author
Banfield, Jillian F.
Venue
Nature Biotechnology
Published
2021-01-18
Volume
39
Issue
6
Pages
727-736
ISSN
  • 0733-222X (ISSN-L)
  • 1087-0156
  • 1546-1696
OpenAlex
W3122118092
Cited by
537
References
72
Citations by year
2026: 94 · 2025: 135 · 2024: 113 · 2023: 80 · 2022: 71 · 2021: 43 · 2020: 1
FWCI
25.18
Type
journal article
Language
en
Open access
Locations
  • Nature Biotechnology (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • National Science Foundation (DGE 1106400, DGE1106400)
  • Alfred P. Sloan Foundation (APSF-2012-10-05)
  • Foundation for the National Institutes of Health (RAI092531A)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
Keywords
strain comparison, fecal microbiota, preterm infants, Klebsiella, cesarean section, vaginal delivery, nucleotide diversity
MeSH terms
Humans, Infant, Newborn, Polymorphism, Single Nucleotide, Biodiversity, Metagenomics, Microbiota

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