Evidence map›Paper›PMID 34473943›Full record

ArticleCell host & microbe2021

Quantifying rapid bacterial evolution and transmission within the mouse intestine.

Kimberly S Vasquez, Lisa Willis, Nate J Cira, Katharine M Ng, Miguel F Pedro, Andrés Aranda-Díaz, Manohary Rajendram, Feiqiao Brian Yu, Steven K Higginbottom, Norma Neff and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Cell host & microbe, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

38 citing papers in PubMed, 51 citations in OpenAlex.

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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

16 authors at 3 institutions in 2 countries.

Kimberly S VasquezDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Lisa WillisDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Nate J CiraDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Katharine M NgDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Miguel F PedroInstituto Gulbenkian de Ciência, 2780-156 Oeiras, Portugal.
Andrés Aranda-DíazDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Manohary RajendramDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Feiqiao Brian YuChan Zuckerberg Biohub, San Francisco, CA 94158, USA.
Steven K HigginbottomDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Norma NeffChan Zuckerberg Biohub, San Francisco, CA 94158, USA.
Gavin SherlockDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
Karina B XavierInstituto Gulbenkian de Ciência, 2780-156 Oeiras, Portugal.
Stephen R QuakeDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA.
Justin L SonnenburgDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA.
Benjamin H GoodDepartment of Physics, University of California at Berkeley, Berkeley, CA 94720, USA; Department of Applied Physics, Stanford University, Stanford, CA 94305, USA. Electronic address: bhgood@stanford.edu.
Kerwyn Casey HuangDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA. Electronic address: kchuang@stanford.edu.
Stanford University · USChan Zuckerberg Initiative (United States) · USInstituto Gulbenkian de Ciência · PT

Funding

A universal pipeline for functional characterization of the human microbiota at a massive scaleRM1GM135102 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BUIE, CULLEN RICHARD, DEUTSCHBAUER, ADAM M · 2020 to 2024
$7.6M
Impact of Diet on Intestinal Microbiota-Host DynamicsR01DK085025 · NIDDK · STANFORD UNIVERSITY · PI JUSTIN L SONNENBURG · 2010 to 2026
$6.4M
Multisizer 4e - equipment for "Fitness Effects of Beneficial Mutations"R35GM131824 · NIGMS · STANFORD UNIVERSITY · PI Gavin J Sherlock · 2019 to 2026
$3.6M
NIDDK NIH HHS R01 DK085025NIGMS NIH HHS R35 GM131824NIGMS NIH HHS RM1 GM135102
6 · The paper itself

Abstract

Due to limitations on high-resolution strain tracking, selection dynamics during gut microbiota colonization and transmission between hosts remain mostly mysterious. Here, we introduced hundreds of barcoded Escherichia coli strains into germ-free mice and quantified strain-level dynamics and metagenomic changes. Mutations in genes involved in motility and metabolite utilization are reproducibly selected within days. Even with rapid selection, coprophagy enforced similar barcode distributions across co-housed mice. Whole-genome sequencing of hundreds of isolates revealed linked alleles that demonstrate between-host transmission. A population-genetics model predicts substantial fitness advantages for certain mutants and that migration accounted for ∼10% of the resident microbiota each day. Treatment with ciprofloxacin suggests interplay between selection and transmission. While initial colonization was mostly uniform, in two mice a bottleneck reduced diversity and selected for ciprofloxacin resistance in the absence of drug. These findings highlight the interplay between environmental transmission and rapid, deterministic selection during evolution of the intestinal microbiota.

Indexed as

AnimalsAnti-Bacterial AgentsCiprofloxacinDNA Barcoding, TaxonomicEscherichia coliEvolution, MolecularGastrointestinal MicrobiomeGenetics, PopulationGerm-Free LifeIntestinesMiceSelection, GeneticWhole Genome SequencingAnti-Bacterial AgentsCiprofloxacinciprofloxacincross-housingEscherichia coligyrasemetabolismmetagenomicsmotilityparallel evolutionpopulation-genetics modelingtransmission

Identifiers

PMID34473943
PMCPMC8445907
OpenAlexW3198643625

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.