Differential gene expression associated with traits of carcass and meat in Nelore cattle

• Grant number: 15/16850-9
• Support Opportunities: Scholarships in Brazil - Doctorate
• Effective date (Start): June 01, 2016
• Effective date (End): January 31, 2019
• Field of knowledge: Agronomical Sciences - Animal Husbandry - Genetics and Improvement of Domestic Animals
• Principal Investigator: Lucia Galvão de Albuquerque
• Grantee: Danielly Beraldo dos Santos Silva
• Host Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil
• Associated scholarship(s): 16/22894-1 - Alternative splicing of transcripts in muscle tissue from Nellore cattle phenotypically divergent for carcass and meat traits, BE.EP.DR

Abstract

The breeding quantitative methods, combined with the knowledge of the mechanism of action of genes associated with carcass quality and meat cattle traits, can allow Brazilian producers produce different meats, thus promoting increased competitiveness of the country in the international market. As well as other traits of economic importance, the trait of rib eye area (REA) and the meat lipid content, are also dependent on the environmental and genetic effects on the tissues and metabolism. In the context of animal functional genomics, the study of the transcriptome through of RNAseq allows molecular assessment of the animals for these traits. In this sense, the differential expression of genes and their isoforms, associated with AOL and the meat lipid content, will contribute to the understanding of the molecular mechanisms involving these features and subsequently to the selection of superior animals Nelore. Given the above, this project aims to identify genes differentially expressed and information genome expression profile of muscle tissue phenotypically divergent Nellore animals for carcass traits (rib eye area) and meat (total lipid content ) using the RNA-Seq technique. This project will help in the identification of differentially expressed genes and can generate information on the molecular mechanisms related to these characteristics, and thus contribute to the production of meat with higher quality.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

DOS SANTOS SILVA, DANIELLY BERALDO; SIMIELLI FONSECA, LARISSA FERNANDA; BRAGA MAGALHAES, ANA FABRICIA; MAGALHAES MUNIZ, MARIA MALANE; BALDI, FERNANDO; FERRO, JESUS APARECIDO; LOYOLA CHARDULO, LUIS ARTUR; PINHEIRO, DANIEL GUARIZ; DE ALBUQUERQUE, LUCIA GALVAO. Transcriptome profiling of muscle in Nelore cattle phenotypically divergent for the ribeye muscle area. Genomics, v. 112, n. 2, p. 1257-1263, MAR 2020. (09/16118-5, 15/16850-9)

SILVA, DANIELLY B. S.; FONSECA, LARISSA F. S.; PINHEIRO, DANIEL G.; MAGALHAES, ANA F. B.; MUNIZ, MARIA M. M.; FERRO, JESUS A.; BALDI, FERNANDO; CHARDULO, LUIS A. L.; SCHNABEL, ROBERT D.; TAYLOR, JEREMY F.; et al. Spliced genes in muscle from Nelore Cattle and their association with carcass and meat quality. SCIENTIFIC REPORTS, v. 10, n. 1, SEP 7 2020. (17/10630-2, 15/16850-9, 09/16118-5, 16/22894-1, 18/20026-8)

DOS SANTOS SILVA, DANIELLY BERALDO; SIMIELLI FONSECA, LARISSA FERNANDA; PINHEIRO, DANIEL GUARIZ; MAGALHAES MUNIZ, MARIA MALANE; BRAGA MAGALHAES, ANA FABRICIA; BALDI, FERNANDO; FERRO, JESUS APARECIDO; LOYOLA CHARDULO, LUIS ARTUR; DE ALBUQUERQUE, LUCIA GALVAO. Prediction of hub genes associated with intramuscular fat content in Nelore cattle. BMC Genomics, v. 20, JUN 25 2019. (09/16118-5, 15/16850-9)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

SILVA, Danielly Beraldo dos Santos. Differentially expressed genes and alternative splicing related to carcass and meat traits of the Nelore cattle. 2019. Doctoral Thesis - Universidade Estadual Paulista (Unesp). Faculdade de Ciências Agrárias e Veterinárias. Jaboticabal Jaboticabal.