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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Putative Regulatory Factors Associated with Intramuscular Fat Content

Texto completo
Cesar, Aline S. M. [1] ; Regitano, Luciana C. A. [2] ; Koltes, James E. [3] ; Fritz-Waters, Eric R. [3] ; Lanna, Dante P. D. [1] ; Gasparin, Gustavo [1] ; Mourao, Gerson B. [1] ; Oliveira, Priscila S. N. [4] ; Reecy, James M. [3] ; Coutinho, Luiz L. [1]
Número total de Autores: 10
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Dept Anim Sci, BR-13418900 Piracicaba, SP - Brazil
[2] EMBRAPA, Southeast Cattle Res Ctr, BR-13560970 Sao Carlos, SP - Brazil
[3] Iowa State Univ, Dept Anim Sci, Ames, IA 50011 - USA
[4] Univ Fed Sao Carlos, Dept Genet & Evolut, BR-13565905 Sao Carlos, SP - Brazil
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: PLoS One; v. 10, n. 6 JUN 4 2015.
Citações Web of Science: 26

Intramuscular fat (IMF) content is related to insulin resistance, which is an important prediction factor for disorders, such as cardiovascular disease, obesity and type 2 diabetes in human. At the same time, it is an economically important trait, which influences the sensorial and nutritional value of meat. The deposition of IMF is influenced by many factors such as sex, age, nutrition, and genetics. In this study Nellore steers (Bos taurus indicus subspecies) were used to better understand the molecular mechanisms involved in IMF content. This was accomplished by identifying differentially expressed genes (DEG), biological pathways and putative regulatory factors. Animals included in this study had extreme genomic estimated breeding value (GEBV) for IMF. RNA-seq analysis, gene set enrichment analysis (GSEA) and co-expression network methods, such as partial correlation coefficient with information theory (PCIT), regulatory impact factor (RIF) and phenotypic impact factor (PIF) were utilized to better understand intramuscular adipogenesis. A total of 16,101 genes were analyzed in both groups (high (H) and low (L) GEBV) and 77 DEG (FDR 10%) were identified between the two groups. Pathway Studio software identified 13 significantly over-represented pathways, functional classes and small molecule signaling pathways within the DEG list. PCIT analyses identified genes with a difference in the number of gene-gene correlations between H and L group and detected putative regulatory factors involved in IMF content. Candidate genes identified by PCIT include: ANKRD26, HOXC5 and PPAPDC2. RIF and PIF analyses identified several candidate genes: GLI2 and IGF2 (RIF1), MPC1 and UBL5 (RIF2) and a host of small RNAs, including miR-1281 (PIF). These findings contribute to a better understanding of the molecular mechanisms that underlie fat content and energy balance in muscle and provide important information for the production of healthier beef for human consumption. (AU)

Processo FAPESP: 12/02383-1 - Identificação e caracterização de genes associados à deposição e composição da gordura intramuscular em bovinos da raça Nelore
Beneficiário:Aline Silva Mello Cesar
Linha de fomento: Bolsas no Exterior - Estágio de Pesquisa - Doutorado
Processo FAPESP: 11/00005-7 - Identificação de genes associados à deposição e composição da gordura intramuscular em bovinos da raça Nelore
Beneficiário:Aline Silva Mello Cesar
Linha de fomento: Bolsas no Brasil - Doutorado
Processo FAPESP: 12/23638-8 - Bases moleculares da qualidade da carne em bovinos da raça Nelore
Beneficiário:Luciana Correia de Almeida Regitano
Linha de fomento: Auxílio à Pesquisa - Temático