Evidence map›Paper›PMID 33462508›Full record

ArticleNature biotechnology2021

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

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

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 356 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
356citing papers in PubMed, 1 pooled it
32.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

356 citing papers in PubMed, 1 synthesis or guideline pooled it, 550 citations in OpenAlex.

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  4. Gut microbes · 2026
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296 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Matthew R OlmDepartment of Earth and Planetary Science, University of California, Berkeley, CA, USA.
Alexander Crits-ChristophDepartment of Plant and Microbial Biology, University of California, Berkeley, CA, USA.
Keith Bouma-GregsonOffice of Information Management and Analysis, California State Water Resources Control Board, Sacramento, CA, USA.ORCID http://orcid.org/0000-0002-0304-6034
Brian A FirekDepartment of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Michael J MorowitzDepartment of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Jillian F BanfieldDepartment of Earth and Planetary Science, University of California, Berkeley, CA, USA. jbanfield@berkeley.edu.ORCID http://orcid.org/0000-0001-8203-8771
Planetary Science Institute · USUniversity of Pittsburgh · USUniversity of California, Berkeley · US

Funding

Population Genomic Analysis of Gut Microbial Colonization in Premature InfantsR01AI092531 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI Jillian Banfield, Michael Morowitz · 2011 to 2026
$11.3M
NIAID NIH HHS R01 AI092531
6 · The paper itself

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.

Indexed as

BiodiversityMetagenomicsMicrobiotaHumansInfant, NewbornPolymorphism, Single Nucleotide

Identifiers

PMID33462508
PMCPMC9223867
OpenAlexW3122118092

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.