Evidence map›Paper›PMID 41942869›Full record

ArticleBMC genomics2026

Integrated multi-omics profiling unveils a network of key signaling pathways governing ovarian function and systemic regulation in high-prolificacy goats.

Fan Jiang, Hu Tao, Mengjie Chen, Aishao Shangguan, Haimiao Lv, Zaidong Hua, Nian Zhang, Feng Zhang, Tian Xu, Wen Wang and 2 more

Abstract read
In one paragraph

Article in BMC genomics, 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
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

12 authors.

Fan Jiang *Key Laboratory of Animal Embryo Engineering and Molecular Breeding of Hubei Province, Institute of Animal Sciences and Veterinary Medicine, Hubei Academy of Agricultural Sciences, Wuhan, 430064, China.
Hu Tao *Key Laboratory of Animal Embryo Engineering and Molecular Breeding of Hubei Province, Institute of Animal Sciences and Veterinary Medicine, Hubei Academy of Agricultural Sciences, Wuhan, 430064, China.
Mengjie Chen *Key Laboratory of Animal Embryo Engineering and Molecular Breeding of Hubei Province, Institute of Animal Sciences and Veterinary Medicine, Hubei Academy of Agricultural Sciences, Wuhan, 430064, China.
Aishao Shangguan *Key Laboratory of Animal Embryo Engineering and Molecular Breeding of Hubei Province, Institute of Animal Sciences and Veterinary Medicine, Hubei Academy of Agricultural Sciences, Wuhan, 430064, China.
Haimiao LvKey Laboratory of Animal Embryo Engineering and Molecular Breeding of Hubei Province, Institute of Animal Sciences and Veterinary Medicine, Hubei Academy of Agricultural Sciences, Wuhan, 430064, China.
Zaidong HuaKey Laboratory of Animal Embryo Engineering and Molecular Breeding of Hubei Province, Institute of Animal Sciences and Veterinary Medicine, Hubei Academy of Agricultural Sciences, Wuhan, 430064, China.
Nian ZhangKey Laboratory of Animal Embryo Engineering and Molecular Breeding of Hubei Province, Institute of Animal Sciences and Veterinary Medicine, Hubei Academy of Agricultural Sciences, Wuhan, 430064, China.
Feng ZhangKey Laboratory of Animal Embryo Engineering and Molecular Breeding of Hubei Province, Institute of Animal Sciences and Veterinary Medicine, Hubei Academy of Agricultural Sciences, Wuhan, 430064, China.
Tian XuKey Laboratory of Animal Embryo Engineering and Molecular Breeding of Hubei Province, Institute of Animal Sciences and Veterinary Medicine, Hubei Academy of Agricultural Sciences, Wuhan, 430064, China.
Wen WangKey Laboratory of Animal Embryo Engineering and Molecular Breeding of Hubei Province, Institute of Animal Sciences and Veterinary Medicine, Hubei Academy of Agricultural Sciences, Wuhan, 430064, China.
Chengtao MaKey Laboratory of Animal Embryo Engineering and Molecular Breeding of Hubei Province, Institute of Animal Sciences and Veterinary Medicine, Hubei Academy of Agricultural Sciences, Wuhan, 430064, China.
Qi XiongKey Laboratory of Animal Embryo Engineering and Molecular Breeding of Hubei Province, Institute of Animal Sciences and Veterinary Medicine, Hubei Academy of Agricultural Sciences, Wuhan, 430064, China. phenixxq@163.com.

Funding

Funds for Supporting High-Quality Development of Seed and Breeding Industry Projects in Hubei Province HBZY2023B008Hubei Provincial Natural Science Foundation of China 2024AFB373Hubei Provincial Natural Science Foundation of China 2026NKYJJ12Hubei Provincial Science and Technology Program Project 2025EBA026JD Technology Research and Development Project of Hubei Province, China 2023BAA029Science Foundation Project of Hubei Academy of Agricultural Sciences 2024NKYJJ18Wuhan science & Technology Commissioner industry-Academia-Research Collaboration Program 2023110201030665
6 · The paper itself

Abstract

backgroundProlificacy is a crucial economic trait in goat production, yet its underlying molecular mechanisms remain incompletely understood due to its polygenic nature. While previous studies have identified several candidate genes, a comprehensive understanding of the local and systemic regulatory networks is lacking. This study aims to dissect the complex molecular basis of high prolificacy in goats through an integrated multi-omics approach.

resultsWe conducted transcriptomic, proteomic, and metabolomic profiling of ovarian tissues from high-fecundity (HF, n = 3) and low-fecundity (LF, n = 3) Chubao black-head goats, alongside multi-tissue (heart, liver, spleen, lung and kidney) transcriptome sequencing. Our analysis identified 1,075 differentially expressed genes (DEGs), 286 differentially expressed proteins (DEPs), and 55 differentially expressed metabolites (DEMs) in the ovary. Functional enrichment highlighted critical roles for signaling pathways such as Hippo, Wnt, MAPK, ECM-receptor interaction, and PI3K-Akt. Integrated cross-omics analysis revealed 10 genes (including CA3, CENPV, and GATM) consistently differentially expressed at both transcriptional and protein levels, and public single-cell RNA (scRNA) sequencing analysis further demonstrated their specific expression in key ovarian cell types including germ cells, granulosa cells, and theca cells. A core regulatory network centered on glycerophospholipid metabolism was constructed, showing coordinated dysregulation of metabolites like PC(20:3(5Z,8Z,11Z)/20:3(8Z,11Z,14Z)) and 1-Palmitoyl-sn-glycero-3-phosphocholine with genes PLA2G2C and PTDSS1. Multi-tissue transcriptomics further indicated that prolificacy involves both ovary-specific regulation and conserved systemic mechanisms.

conclusionsThis study demonstrates that high prolificacy in goats is a complex trait co-regulated by key local pathways in the ovary and systemic transcriptional adaptations. Our integrated multi-omics strategy provides a systematic molecular portrait of fecundity, identifying novel candidate genes and biomarkers with potential applications in genetic improvement programs for goats.

Indexed as

GoatsOvarySignal TransductionAnimalsFemaleGene Expression ProfilingGene Regulatory NetworksMetabolomicsMultiomicsProteomicsTranscriptomeGlycerophospholipid metabolismGoatMulti-omicsOvaryProlificacy

Identifiers

PMID41942869
PMCPMC13134151

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LicenceCC BY-NC-ND
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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.