Evidence map›Paper›PMID 42436575›Full record

ArticleAnimal microbiome2026

Host genetic architecture and gut microbiota cooperatively regulate early growth in goats.

Hui-Long Mou, Zi-Xuan Wang, Ming-Ding Zhang, Yao-Long Liu, Tao Ren, Peng-Cheng Ruan, Yan-Guo Han, Yan Zeng, Hao-Yuan Zhang, Jia-Guo Lu and 9 more

Abstract read
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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Hui-Long MouCollege of Animal Science and Technology, Southwest University, Chongqing, 400715, China.
Zi-Xuan WangCollege of Animal Science and Technology, Southwest University, Chongqing, 400715, China.
Ming-Ding ZhangCollege of Animal Science and Technology, Southwest University, Chongqing, 400715, China.
Yao-Long LiuCollege of Animal Science and Technology, Southwest University, Chongqing, 400715, China.
Tao RenCollege of Animal Science and Technology, Southwest University, Chongqing, 400715, China.
Peng-Cheng RuanCollege of Animal Science and Technology, Southwest University, Chongqing, 400715, China.
Yan-Guo HanCollege of Animal Science and Technology, Southwest University, Chongqing, 400715, China.
Yan ZengCollege of Animal Science and Technology, Southwest University, Chongqing, 400715, China.
Hao-Yuan ZhangCollege of Animal Science and Technology, Southwest University, Chongqing, 400715, China.
Jia-Guo LuCollege of Animal Science and Technology, Southwest University, Chongqing, 400715, China.
Yang ZhangCollege of Animal Science and Technology, Southwest University, Chongqing, 400715, China.
Cheng-Li LiuSchool of Biological and Food Engineering, Chongqing Three Gorges University, Chongqing, 404020, China.
Yong-Fu HuangCollege of Animal Science and Technology, Southwest University, Chongqing, 400715, China.
Yong-Ju ZhaoState Key Laboratory of Resource Insects, Southwest University, Chongqing, 400715, China.
Zhong-Quan ZhaoState Key Laboratory of Resource Insects, Southwest University, Chongqing, 400715, China.
Xiao PanChongqing Hechuan Animal Husbandry Station, Chongqing, 401520, China.
Li-Ping ZhouChongqing Hechuan Animal Husbandry Station, Chongqing, 401520, China.
Simone CeccobelliDepartment of Agricultural, Food and Environmental Sciences, Università Politecnica Delle Marche, Via Brecce Bianche 10, 60131, Ancona, Italy. s.ceccobelli@staff.univpm.it.
Guang-Xin ECollege of Animal Science and Technology, Southwest University, Chongqing, 400715, China. eguangxin@126.com.ORCID http://orcid.org/0000-0001-7116-5177

Funding

Innovative Research Group Project of the National Natural Science Foundation of China 32272834
6 · The paper itself

Abstract

Early postnatal growth is a critical determinant of meat production efficiency and long-term genetic improvement in goats; however, the molecular mechanisms underlying individual variation in growth performance remain poorly understood. In this study, a total of 123 Hechuan white goats were included. First, a genome-wide association study (GWAS) for average daily gain (ADG) was performed using all 123 individuals. Subsequently, based on the coefficient of variation of ADG (CV = 65.6%), an extreme phenotype sampling (EPS) strategy was applied to select 39 individuals with extreme growth phenotypes for subsequent metabolomic, microbiome, and integrated mGWAS analyses.The results showed that ADG approximately followed a normal distribution across the 123 goats. GWAS identified 22 loci significantly associated with ADG, mapping to genes including DLK1, NCAPG2, LCORL, CNTNAP2, and SLC8A1, which are involved in pathways related to skeletal muscle development, cell cycle regulation, ion transport, and immune function. Metabolomic profiling detected 1,589 putative metabolites, revealing differential enrichment of lipid, amino acid, and bile acid metabolic pathways between fast- and slow-growing goats. Gut microbiome analysis demonstrated that Christensenellaceae_R-7_group and Monoglobus were significantly enriched in fast-growing individuals, whereas Desulfovibrio was more abundant in slow-growing goats.Integrated mGWAS analysis further revealed extensive effects of host genetic variation on gut microbiota and fecal metabolites. Specifically, 11 bacterial genera were significantly associated with host genomic variants, among which Desulfovibrio exhibited the highest number of associated loci. Integration of multiple variant types consistently linked Desulfovibrio, Eubacterium_hallii_group, and Candidatus_Saccharimonas with genes such as ARHGAP24 and IGF2BP2. In addition, 14 metabolites were significantly associated with host genetic variants, with Lysopc(14:1(9Z)/0:0) and glycocholic acid showing the strongest associations. Notably, the peak signal for Lysopc was located within HMGA2.Collectively, these findings define a coordinated host genome-gut microbiota-metabolite network underlying early growth variation in goats and provide a mechanistic foundation for precision breeding and targeted nutritional strategies in goat production systems.

Indexed as

GoatGrowth performanceGut microbiotaGWASMetabolomics

Identifiers

PMID42436575
PMCPMC13483726

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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.