Evidence map›Paper›PMID 41821060›Full record

ArticleAnimal microbiome2026

Host genome regulation of the porcine gut microbiota and its impact on feed conversion efficiency.

Qitian Wu, Xiaoqing Wang, Qiming Mu, Jingjing Tian, Hailing Wang, Jiayi Yang, Zhen Peng, Lili Gao, Pengfei Gao, Fuping Zhao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animal microbiome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Qitian Wu *State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, No. 2 West Yuanmingyuan Road, Haidian District, Beijing, 100193, China.
Xiaoqing Wang *State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, No. 2 West Yuanmingyuan Road, Haidian District, Beijing, 100193, China.
Qiming MuState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, No. 2 West Yuanmingyuan Road, Haidian District, Beijing, 100193, China.
Jingjing TianState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, No. 2 West Yuanmingyuan Road, Haidian District, Beijing, 100193, China.
Hailing WangState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, No. 2 West Yuanmingyuan Road, Haidian District, Beijing, 100193, China.
Jiayi YangState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, No. 2 West Yuanmingyuan Road, Haidian District, Beijing, 100193, China.
Zhen PengState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, No. 2 West Yuanmingyuan Road, Haidian District, Beijing, 100193, China.
Lili GaoState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, No. 2 West Yuanmingyuan Road, Haidian District, Beijing, 100193, China.
Pengfei GaoShanxi Agricultural University, No. 1 Mingxian South Road, Taigu District, Jinzhong City, Shanxi Province, 030801, China. gpf800411@126.com.
Fuping ZhaoState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, No. 2 West Yuanmingyuan Road, Haidian District, Beijing, 100193, China. zhaofuping@caas.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to elucidate the regulatory mechanisms of host genetics on the porcine gut microbiota and their subsequent impact on the feed conversion ratio (FCR). While initial genome-wide association studies (GWAS) did not identify significant SNPs directly associated with FCR, we investigated the gut microbiota as a potential intermediate phenotype influencing feed efficiency. Nonmetric multidimensional scaling (NMDS) based on Bray–Curtis distances demonstrated a distinct separation in microbial community structure between the high-feed conversion ratio (HFCR) and low-feed conversion ratio (LFCR) groups (stress = 0.19), suggesting a link between FCR and gut microbial composition. Furthermore, a significant, albeit weak, negative correlation was observed between the genomic relatedness matrices and microbial Bray‒Curtis dissimilarity (r = −0.0143, p = 0.0031), indicating host genetic control over the microbiome. Microbiome genome-wide association study (mGWAS) identified 117 significant SNPs associated with 28 microbial taxa. Functional annotation highlighted eight candidate genes (DCY8, PATJ, PTPN2, FTO, SLC13A1, ADAM28, MGST1, and PTGS2) involved in the regulation of taxa, including Campylobacter, Faecalibacterium, Streptococcus, Succinivibrio, Treponema, Turicibacter, uncultured Erysipelotrichales, and uncultured Peptococcaceae 2. Collectively, these findings establish that the gut microbiota is a heritable trait influenced by the host genome, providing novel targets for breeding strategies designed to optimize microbial composition for improved feed efficiency.

Indexed as

Feed conversion ratioGut microbiotaHeritabilityHost–microbiome interactionsmGWASPigs

Identifiers

PMID41821060
PMCPMC12983837

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.