inStrain profiles population microdiversity from metagenomic data and sensitively detects shared microbial strains
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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.”
From Global genetic diversity of human gut microbiome species is related to geographic location and host health (2025) · cites this paper as [10]
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Jiang, S., Huang, S., Zhang, Z., Ma, W., Han, Z., Song, Y., Huo, D., Cui, W., & Zhang, J. (2025) · Gut Microbes · doi:10.1080/19490976.2025.2503371 · Cited by 15 · see citing works
“Based on the correlation between strain Lp082 and gut resident microorganisms, we employed inStrain software 48 to annotate the mutation sites for a wide array of gut microbiota.”
Mah, J. C., Lohmueller, K. E., & Garud, N. R. (2025) · Molecular Biology and Evolution · doi:10.1093/molbev/msaf010 · Cited by 11 · see citing works
- 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
- PMC
- PMC9223867
- 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
- green
- www.ncbi.nlm.nih.gov
- Licence
- 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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