Evidence map›Paper›PMID 37420306›Full record

ArticleMicrobiome2023

Using the collaborative cross to identify the role of host genetics in defining the murine gut microbiome.

Aravindh Nagarajan, Kristin Scoggin, Jyotsana Gupta, David W Threadgill, Helene L Andrews-Polymenis

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  8. Protective role of aqueousFrontiers in endocrinology · 2026
    Article
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  10. Article
  11. Review
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  18. Frontiers in microbiology · 2025
    Article
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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

5 authors at 2 institutions in 1 country.

Aravindh NagarajanInterdisciplinary Program in Genetics, Texas A&M University, College Station, TX, USA.
Kristin ScogginInterdisciplinary Program in Genetics, Texas A&M University, College Station, TX, USA.
Jyotsana GuptaDepartment of Microbial Pathogenesis and Immunology, Texas A&M University, College Station, TX, USA.
David W ThreadgillInterdisciplinary Program in Genetics, Texas A&M University, College Station, TX, USA.
Helene L Andrews-PolymenisInterdisciplinary Program in Genetics, Texas A&M University, College Station, TX, USA. handrews@tamu.edu.
Texas A&M University · USTexas A&M Health Science Center · US

Funding

Foundational studies for precision nutritionR01DK130333 · NIDDK · TEXAS A&M AGRILIFE RESEARCH · PI THREADGILL, DAVID W. · 2021 to 2024
$2.6M
NIDDK NIH HHS R01 DK130333
6 · The paper itself

Abstract

backgroundThe human gut microbiota is a complex community comprised of trillions of bacteria and is critical for the digestion and absorption of nutrients. Bacterial communities of the intestinal microbiota influence the development of several conditions and diseases. We studied the effect of host genetics on gut microbial composition using Collaborative Cross (CC) mice. CC mice are a panel of mice that are genetically diverse across strains, but genetically identical within a given strain allowing repetition and deeper analysis than is possible with other collections of genetically diverse mice.

results16S rRNA from the feces of 167 mice from 28 different CC strains was sequenced and analyzed using the Qiime2 pipeline. We observed a large variance in the bacterial composition across CC strains starting at the phylum level. Using bacterial composition data, we identified 17 significant Quantitative Trait Loci (QTL) linked to 14 genera on 9 different mouse chromosomes. Genes within these intervals were analyzed for significant association with pathways and the previously known human GWAS database using Enrichr analysis and Genecards database. Multiple host genes involved in obesity, glucose homeostasis, immunity, neurological diseases, and many other protein-coding genes located in these regions may play roles in determining the composition of the gut microbiota. A subset of these CC mice was infected with Salmonella Typhimurium. Using infection outcome data, an increase in abundance of genus Lachnospiraceae and decrease in genus Parasutterella correlated with positive health outcomes after infection. Machine learning classifiers accurately predicted the CC strain and the infection outcome using pre-infection bacterial composition data from the feces.

conclusionOur study supports the hypothesis that multiple host genes influence the gut microbiome composition and homeostasis, and that certain organisms may influence health outcomes after S. Typhimurium infection. Video Abstract.

Indexed as

Gastrointestinal MicrobiomeAnimalsBacteriaFecesHumansMiceQuantitative Trait LociRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID37420306
PMCPMC10329326
OpenAlexW4383497720

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.