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Novel putative causal mutations associated with fat traits in Nellore cattle uncovered by eQTLs located in open chromatin regions

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Garcia, Ingrid Soares ; Silva-Vignato, Barbara ; Mello Cesar, Aline Silva ; Petrini, Juliana ; da Silva, Vinicius Henrique ; Morosini, Natalia Silva ; Goes, Carolina Purcell ; Afonso, Juliana ; da Silva, Thais Ribeiro ; Lima, Beatriz Delcarme ; Clemente, Luan Gaspar ; de Almeida Regitano, Luciana Correia ; Mourao, Gerson Barreto ; Coutinho, Luiz Lehmann
Número total de Autores: 14
Tipo de documento: Artigo Científico
Fonte: SCIENTIFIC REPORTS; v. 14, n. 1, p. 12-pg., 2024-05-02.
Resumo

Intramuscular fat (IMF) and backfat thickness (BFT) are critical economic traits impacting meat quality. However, the genetic variants controlling these traits need to be better understood. To advance knowledge in this area, we integrated RNA-seq and single nucleotide polymorphisms (SNPs) identified in genomic and transcriptomic data to generate a linkage disequilibrium filtered panel of 553,581 variants. Expression quantitative trait loci (eQTL) analysis revealed 36,916 cis-eQTLs and 14,408 trans-eQTLs. Association analysis resulted in three eQTLs associated with BFT and 24 with IMF. Functional enrichment analysis of genes regulated by these 27 eQTLs revealed noteworthy pathways that can play a fundamental role in lipid metabolism and fat deposition, such as immune response, cytoskeleton remodeling, iron transport, and phospholipid metabolism. We next used ATAC-Seq assay to identify and overlap eQTL and open chromatin regions. Six eQTLs were in regulatory regions, four in predicted insulators and possible CCCTC-binding factor DNA binding sites, one in an active enhancer region, and the last in a low signal region. Our results provided novel insights into the transcriptional regulation of IMF and BFT, unraveling putative regulatory variants. (AU)

Processo FAPESP: 19/04089-2 - O Hologenoma de Nelore: implicações na qualidade de carne e em eficiência alimentar
Beneficiário:Luciana Correia de Almeida Regitano
Modalidade de apoio: Auxílio à Pesquisa - Programa eScience e Data Science - Temático