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Decoding Chicken Growth Regulation Through Multi-Omics Insights and Emerging Genetic Tools for Growth Optimization

aut.relation.articlenumber105542
aut.relation.issue10
aut.relation.journalPoult Sci
aut.relation.startpage105542
aut.relation.volume104
dc.contributor.authorNawaz, Ali Hassan
dc.contributor.authorDing, Jiqiang
dc.contributor.authorAli, Munwar
dc.contributor.authorLeng, Dong
dc.contributor.authorMukhtar, Nasir
dc.contributor.authorAli, Ahtisham
dc.contributor.authorFeng, Chungang
dc.date.accessioned2025-11-04T01:25:51Z
dc.date.available2025-11-04T01:25:51Z
dc.date.issued2025-07-05
dc.description.abstractBody weight and growth are crucial traits in chickens, regulated by an intricate genetic architecture that remains challenging to understand completely. Multiple quantitative trait loci (QTL) mapping and genome-wide association studies (GWAS) have revealed numerous genetic variations associated with these economically important traits, but the application of these findings for sustainable and efficient poultry production is limited. This review synthesizes existing knowledge on the genetic regulation of chicken growth, challenging the traditional approach and encouraging the development of integrated strategies to comprehend the regulatory mechanisms underlying complex growth phenotypes. This review highlights recent advances in omics studies (genomics, transcriptomics, proteomics, and metabolomics), emphasising the utility of single-cell RNA sequencing (scRNA-seq) in addressing cellular heterogeneity within growth-related tissues. The advancement of genome sequencing technologies, combined with progress in CRISPR/Cas9-mediated genome editing, has opened new avenues for the precision breeding of economically important traits in chickens. It also discusses how the newly developed Chicken Genotype-Tissue Expression (ChickenGTEx) project and other related data resources could potentially serve as crucial tools to reveal the regulatory mechanisms related to chicken growth, offering insights into tissue specific gene expression. By elucidating regulatory networks and identifying key knowledge gaps, this review intends to accelerate the development of precision breeding approaches for sustainable and efficient poultry production, ultimately enhancing global food security.
dc.identifier.citationPoult Sci, ISSN: 0032-5791 (Print); 1525-3171 (Online), Elsevier BV, 104(10), 105542-. doi: 10.1016/j.psj.2025.105542
dc.identifier.doi10.1016/j.psj.2025.105542
dc.identifier.issn0032-5791
dc.identifier.issn1525-3171
dc.identifier.urihttp://hdl.handle.net/10292/20052
dc.languageeng
dc.publisherElsevier BV
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0032579125007850?via%3Dihub
dc.rights© 2025 The Authors. Published by Elsevier Inc. on behalf of Poultry Science Association Inc. This article is available under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed.
dc.rights.accessrightsOpenAccess
dc.subjectChicken growth
dc.subjectChickenGTEx
dc.subjectGWAS
dc.subjectGenome editing
dc.subjectscRNA-seq
dc.subject30 Agricultural, Veterinary and Food Sciences
dc.subjectHuman Genome
dc.subjectGenetics
dc.subjectBiotechnology
dc.subject2.1 Biological and endogenous factors
dc.subject2 Zero Hunger
dc.subject0605 Microbiology
dc.subject0702 Animal Production
dc.subject0908 Food Sciences
dc.subjectDairy & Animal Science
dc.subject3003 Animal production
dc.subject3006 Food sciences
dc.subject3009 Veterinary sciences
dc.subject.meshAnimals
dc.subject.meshChickens
dc.subject.meshGenomics
dc.subject.meshQuantitative Trait Loci
dc.subject.meshGenome-Wide Association Study
dc.subject.meshBreeding
dc.subject.meshProteomics
dc.subject.meshMultiomics
dc.titleDecoding Chicken Growth Regulation Through Multi-Omics Insights and Emerging Genetic Tools for Growth Optimization
dc.typeJournal Article
pubs.elements-id745185

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