Evidence map›Paper›PMID 39394961›Full record

ArticleThe ISME journal2024

Comprehensive profile of the companion animal gut microbiome integrating reference-based and reference-free methods.

Tobyn Branck, Zhiji Hu, William A Nickols, Aaron M Walsh, Amrisha Bhosle, Meghan I Short, Jacob T Nearing, Francesco Asnicar, Lauren J McIver, Sagun Maharjan and 6 more

Abstract read
In one paragraph

Article in The ISME journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

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  4. Extensive library ofMicrobiology spectrum · 2026
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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.

Tobyn BranckDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Zhiji HuDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
William A NickolsDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Aaron M WalshDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Amrisha BhosleDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Meghan I ShortDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Jacob T NearingDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Francesco AsnicarCIBIO Department, University of Trento, Trento, Italy.
Lauren J McIverDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Sagun MaharjanDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Ali RahnavardComputational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States.
Artemis S LouyakisScience and Technology Center, Hill's Pet Nutrition, Inc., Topeka, KS, United States.
Dayakar V BadriScience and Technology Center, Hill's Pet Nutrition, Inc., Topeka, KS, United States.
Christoph BrockelScience and Technology Center, Hill's Pet Nutrition, Inc., Topeka, KS, United States.
Kelsey N ThompsonDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Curtis HuttenhowerDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiome of companion animals is relatively underexplored, despite its relevance to animal health, pet owner health, and basic microbial community biology. Here, we provide the most comprehensive analysis of the canine and feline gut microbiomes to date, incorporating 2639 stool shotgun metagenomes (2272 dog and 367 cat) spanning 14 publicly available datasets (n = 730) and 8 new study populations (n = 1909). These are compared with 238 and 112 baseline human gut metagenomes from the Human Microbiome Project 1-II and a traditionally living Malagasy cohort, respectively, processed in a manner identical to the animal metagenomes. All microbiomes were characterized using reference-based taxonomic and functional profiling, as well as de novo assembly yielding metagenomic assembled genomes clustered into species-level genome bins. Companion animals shared 184 species-level genome bins not found in humans, whereas 198 were found in all three hosts. We applied novel methodology to distinguish strains of these shared organisms either transferred or unique to host species, with phylogenetic patterns suggesting host-specific adaptation of microbial lineages. This corresponded with functional divergence of these lineages by host (e.g. differences in metabolic and antibiotic resistance genes) likely important to companion animal health. This study provides the largest resource to date of companion animal gut metagenomes and greatly contributes to our understanding of the "One Health" concept of a shared microbial environment among humans and companion animals, affecting infectious diseases, immune response, and specific genetic elements.

Indexed as

FecesGastrointestinal MicrobiomeMetagenomeMetagenomicsPetsPhylogenyAnimalsBacteriaCatsDogsHumanscompanion animalsgut microbiomehost adaptationmetagenomic assemblymetagenomicsmicrobial evolution

Identifiers

PMID39394961
PMCPMC11523182

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Registered trials

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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.