Evidence map›Paper›PMID 41398643›Full record

ArticleBMC genomics2025

Mining of candidate genes related to prolificacy in Jining grey goats using transcriptomics.

Jingyi Mao, Junmin He, Yifan Ren, Xue Li, Cunming Yang, Guifen Liu, Guoping Zhang, Chen Wei, Wenhao Zhang, Ming Wang and 3 more

Abstract read
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Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Jingyi MaoInstitute of Animal Husbandry and Veterinary Medicine, Shandong Key Laboratory of Livestock and Poultry Breeding, Shandong Academy of Agricultural Sciences, Jinan, 250100, China.
Junmin HeCollege of Life Sciences, Xinjiang Normal University, Urumqi, 830017, China.
Yifan RenCollege of Animal Science, Xinjiang Agricultural University, Urumqi, 830052, China.
Xue LiCollege of Animal Science, Xinjiang Agricultural University, Urumqi, 830052, China.
Cunming YangInstitute of Animal Husbandry and Veterinary Medicine, Shandong Key Laboratory of Livestock and Poultry Breeding, Shandong Academy of Agricultural Sciences, Jinan, 250100, China.
Guifen LiuInstitute of Animal Husbandry and Veterinary Medicine, Shandong Key Laboratory of Livestock and Poultry Breeding, Shandong Academy of Agricultural Sciences, Jinan, 250100, China.
Guoping ZhangInstitute of Animal Husbandry and Veterinary Medicine, Shandong Key Laboratory of Livestock and Poultry Breeding, Shandong Academy of Agricultural Sciences, Jinan, 250100, China.
Chen WeiInstitute of Animal Husbandry and Veterinary Medicine, Shandong Key Laboratory of Livestock and Poultry Breeding, Shandong Academy of Agricultural Sciences, Jinan, 250100, China.
Wenhao ZhangCollege of Animal Science, Xinjiang Agricultural University, Urumqi, 830052, China.
Ming WangCollege of Animal Science, Xinjiang Agricultural University, Urumqi, 830052, China.
Fumei NieCollege of Animal Science, Xinjiang Agricultural University, Urumqi, 830052, China.
Kechuan TianInstitute of Animal Husbandry and Veterinary Medicine, Shandong Key Laboratory of Livestock and Poultry Breeding, Shandong Academy of Agricultural Sciences, Jinan, 250100, China. tiankechuan@163.com.
Xixia HuangCollege of Animal Science, Xinjiang Agricultural University, Urumqi, 830052, China. au-huangxixia@163.com.

Funding

the Agricultural Scientific and Technological Innovation Project of Shandong Academy of Agricultural Sciences No. CXGC2025F09, No. CXGC2025H16the Shandong Postdoctoral Science Foundation No. SDCX-ZG-202400120the Technological Innovation Project of the National Natural Science Foundation of China No. 32372851
6 · The paper itself

Abstract

backgroundThe Jining grey goat is a renowned local goat breed in China that has exceptional reproductive performance; thereby, it serves as an ideal animal model for studying prolificacy in goats. Recent research on the reproductive traits of Jining grey goats has focused primarily on variations in the expression of key genes, hormone regulatory mechanisms, and breeding techniques, with the aim of enhancing reproductive performance through molecular marker-assisted breeding.

methodsIn this study, 8 healthy adult female Jining grey goats of similar age and weight were selected. Ovarian and uterine tissues were collected from Jining grey goats in the high litter size group (HL, high size ≥ 3 in three consecutive litters, n = 4) and the low litter size group (LL, litter size = 1 in three consecutive litters, n = 4) for transcriptome sequencing. Bioinformatics analysis was conducted to investigate key regulatory pathways and candidate genes in ovarian and uterine tissues. Ultimately, 5 pathways (cAMP signalling pathway, neuroactive ligand‒receptor interaction, ABC transporters, cytokine‒cytokine receptor interaction and metabolic pathways) and 10 candidate genes (3BHSD, CLSTN2, BMP5, DRD1, CXCL14, CFAP43, WNT10B, ENO4, GABRA1 and the DNAH1 gene) were revealed to be associated with multiple births in Jining grey goats. RT‒qPCR was used to verify the sequencing results, and the relative expression levels of the 10 candidate genes in different tissues were compared. Among them, 3BHSD, CLSTN2, and GABRA1 were found to be closely related to prolificacy in the Jining grey goat.

conclusionIn this study, key regulatory pathways and candidate genes influencing the prolificacy of Jining Grey goats were investigated through transcriptome analysis, providing in-depth insights into the molecular mechanisms through which the expression of genes related to prolificacy in different tissues affects reproductive performance. These findings provide a theoretical foundation and reference for the selective breeding of Jining grey goats.

Indexed as

Gene Expression ProfilingGoatsLitter SizeReproductionTranscriptomeAnimalsComputational BiologyFemaleOvaryUterusGene screeningJining grey goatMeta-analysisMultiple birth traitsRNA-seq

Identifiers

PMID41398643
PMCPMC12821839

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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.