Evidence map›Paper›PMID 42792930›Full record

ArticleGenes2026

Integrated Multi-Omics Analysis Reveals Lipid Metabolism as a Key Contributor to the Growth-Meat Quality Trade-Off Among Genetically Divergent Chicken Breeds.

Ying Li, Rongqin Huang, Li Zhang, Haiping Xu, Chenglong Luo, Wen Luo, Zongliang Du

Abstract read
In one paragraph

Article in Genes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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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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

7 authors.

Ying LiGuangdong Provincial Key Laboratory of Animal Breeding and Nutrition, State Key Laboratory of Swine and Poultry Breeding Industry, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.
Rongqin HuangGuangdong Provincial Key Laboratory of Animal Breeding and Nutrition, State Key Laboratory of Swine and Poultry Breeding Industry, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.
Li ZhangGuangdong Provincial Key Laboratory of Animal Breeding and Nutrition, State Key Laboratory of Swine and Poultry Breeding Industry, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.
Haiping XuSchool of Food & Pharmaceutical Science and Technology, Guangzhou College of Technology and Business, Guangzhou 510850, China.
Chenglong LuoGuangdong Provincial Key Laboratory of Animal Breeding and Nutrition, State Key Laboratory of Swine and Poultry Breeding Industry, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.ORCID 0000-0002-8309-3841
Wen LuoKey Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Guangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory of Swine and Poultry Breeding Industry, South China Agricultural University, Guangzhou 510642, China.
Zongliang DuGuangdong Provincial Key Laboratory of Animal Breeding and Nutrition, State Key Laboratory of Swine and Poultry Breeding Industry, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.

Funding

Key-Area Research and Development Program of Guangzhou City 2023B03J1321Self-financed Science and Technology Innovation Projects of Foshan City 2520001002992the China Agriculture Research System of MOF and MARA CARS-41the Project for Scientific Research Capacity Improvement of Key Constructed Disciplines of Guangdong Province 2025ZDJS086the Project of Key-Area Research and Development Program of Guangdong Province 2022B0202100001
6 · The paper itself

Abstract

backgroundImproving meat quality while maintaining growth efficiency remains a major challenge in poultry production. However, the molecular mechanisms underlying breed-specific meat quality variation remain unclear. This study aimed to investigate how breed-specific growth patterns influence meat quality and elucidate metabolic and transcriptional mechanisms involved.

methodsPectoralis major meat quality traits and multi-omics profiles were characterized in three genetically distinct chicken breeds-the fast-growing Small White-Feathered chicken (XBJ), the slow-growing Huiyang Bearded chicken (HXJ), and the layer-type Hy-Line Brown chicken (HLH)-at 50, 180, and 300 days of age. Twelve birds per breed per age were used for phenotypic measurement (

resultsPhenotypic evaluation revealed a breed-dependent growth-meat quality trade-off, with XBJ exhibiting superior growth but poorer water-holding capacity and meat color, whereas HXJ and HLH showed better tenderness and color at the expense of growth. Metabolomic analysis revealed lipid metabolism as a major contributor to breed-specific divergence, with triglyceride-driven divergence predominating at early and middle stages, whereas later-stage differences involved glycerophospholipid and amino acid metabolism. Transcriptomic analysis revealed significant breed-specific differences in expressed genes at 50 and 180 days, enriched in pathways related to muscle structure, ECM remodeling, and energy metabolism, consistent with metabolic and phenotypic divergence. Integrated analyses identified 28 candidate genes and 71 core metabolites associated with meat quality traits, with

conclusionsThese findings reveal molecular mechanisms underlying the growth-meat quality trade-off and highlight lipid metabolic regulation as a key contributor to meat quality variation. The identified gene-metabolite networks provide insights for molecular breeding to improve chicken meat quality.

Indexed as

ChickensLipid MetabolismMeatAnimalsBreedingGene Expression ProfilingMetabolomeMetabolomicsMultiomicsPhenotypeTranscriptomegrowth–meat quality trade-offmeat quality traitsmetabolomicstranscriptomics

Identifiers

PMID42792930
PMCPMC13606430

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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.