Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits

Autor(es):Mostrar menos -

Cesar, Aline S. M. ^{[1, 2]} ; Regitano, Luciana C. A. ^[3] ; Reecy, James M. ^[2] ; Poleti, Mirele D. ^[1] ; Oliveira, Priscila S. N. ^[3] ; de Oliveira, Gabriella B. ^[1] ; Moreira, Gabriel C. M. ^[1] ; Mudadu, Mauricio A. ^[4] ; Tizioto, Polyana C. ^[1] ; Koltes, James E. ^[2] ; Fritz-Waters, Elyn ^[2] ; Kramer, Luke ^[2] ; Garrick, Dorian ^[5] ; Beiki, Hamid ^[2] ; Geistlinger, Ludwig ^[3] ; Mourao, Gerson B. ^[1] ; Zerlotini, Adhemar ^[4] ; Coutinho, Luiz L. ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Dept Anim Sci, BR-13418900 Piracicaba, SP - Brazil

^[2] Iowa State Univ, Dept Anim Sci, Ames, IA 50011 - USA

^[3] Embrapa Pecuaria Sudeste, BR-13560970 Sao Carlos, SP - Brazil

^[4] Embrapa Informat Agr, BR-13083886 Campinas, SP - Brazil

^[5] Massey Univ, Sch Agr, Hamilton - New Zealand

• Tipo de documento: Artigo Científico
• Fonte: BMC Genomics; v. 19, JUN 27 2018.
• Citações Web of Science: 3

Resumo

Background: Integration of high throughput DNA genotyping and RNA-sequencing data allows for the identification of genomic regions that control gene expression, known as expression quantitative trait loci (eQTL), on a whole genome scale. Intramuscular fat (IMF) content and carcass composition play important roles in metabolic and physiological processes in mammals because they influence insulin sensitivity and consequently prevalence of metabolic diseases such as obesity and type 2 diabetes. However, limited information is available on the genetic variants and mechanisms associated with IMF deposition in mammals. Thus, our hypothesis was that eQTL analyses could identify putative regulatory regions and transcription factors (TFs) associated with intramuscular fat (IMF) content traits. Results: We performed an integrative eQTL study in skeletal muscle to identify putative regulatory regions and factors associated with intramuscular fat content traits. Data obtained from skeletal muscle samples of 192 animals was used for association analysis between 461,466 SNPs and the transcription level of 11,808 genes. This yielded 1268 cis- and 10,334 trans-eQTLs, among which we identified nine hotspot regions that each affected the expression of > 119 genes. These putative regulatory regions overlapped with previously identified QTLs for IMF content Three of the hotspots respectively harbored the transcription factors USF1, EGR4 and RUNX1T1, which are known to play important roles in lipid metabolism. From co-expression network analysis, we further identified modules significantly correlated with IMF content and associated with relevant processes such as fatty acid metabolism, carbohydrate metabolism and lipid metabolism. Conclusion: This study provides novel insights into the link between genotype and IMF content as evident from the expression level. It thereby identifies genomic regions of particular importance and associated regulatory factors. These new findings provide new knowledge about the biological processes associated with genetic variants and mechanisms associated with IMF deposition in mammals. (AU)

• Processo FAPESP: 14/22884-0 - Identificação de eQTLs e estudo de regiões genômicas associadas à deposição e composição da gordura intramuscular em animais da raça Nelore
• Beneficiário: Aline Silva Mello Cesar
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado
• Processo FAPESP: 12/23638-8 - Bases moleculares da qualidade da carne em bovinos da raça Nelore
• Beneficiário: Luciana Correia de Almeida Regitano
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 14/11871-5 - Identificação de eQTLs e estudo de regiões genômicas associadas à deposição e composição da gordura intramuscular em animais da raça Nelore
• Beneficiário: Aline Silva Mello Cesar
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado