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Tanscriptomic profile of extreme animals for feed efficiency of Nelore breed

Grant number: 13/17778-4
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): April 01, 2014
Effective date (End): September 30, 2016
Field of knowledge:Agronomical Sciences - Animal Husbandry
Principal Investigator:Luciana Correia de Almeida Regitano
Grantee:Polyana Cristine Tizioto
Home Institution: Pecuária Sudeste. Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA). Ministério da Agricultura, Pecuária e Abastecimento (Brasil). São Carlos , SP, Brazil
Associated research grant:12/23638-8 - Molecular basis of meat quality in Nelore beef cattle, AP.TEM
Associated scholarship(s):14/13555-3 - Gene expression profiling in hepatic tissue of Nelore steers with divergent profiles for residual feed intake, BE.EP.PD

Abstract

Brazil is one of the world's leading beef manufacturers and exporters. Among the breeds of beef cattle in the country, the Nelore shows greater relevance because of its remarkable production rates. These rates can be mainly attributed to the adaptability and resilience of this breed in tropical environments. Feed efficiency is an extremely important production trait, however, despite its known moderate heritability, this trait is not being considered in genetic evaluation programs in Brazil, because the measurement is costly and late in animal's life. Selection for more efficient animals may contribute to reductions in pasture area and pollutant production, despite a higher profitability for the producer. In this context, the molecular genetics can contribute to implementation of this trait in breeding programs. Recent developments in molecular genetics, such as platforms for genotyping and genomic sequencing, provide opportunity to identify genes and pathways related to production traits as feed efficiency. This study attempts to identify differentially expressed genes in animals representing extremes for feed efficiency, using RNA sequencing (RNA-Seq) to obtain information from genome wide expression profiles in muscle and liver of different phenotypic classes (efficient and inefficient animals). The analysis of two different tissues will provide a data base for future studies aiming to identify isoforms and exploring alternative splicing in liver and muscle tissues. The resulting muscle transcriptome will contribute to enrich the data base of Nelore's muscle transcriptome to be obtained by the thematic project "Molecular basis of meat quality traits in Nelore" (Process 2012/23638-8), contributing to the knowledge of the regulation of biological processes in this tissue. (AU)

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)
TIZIOTO, POLYANA C.; COUTINHO, LUIZ L.; OLIVEIRA, PRISCILA S. N.; CESAR, ALINE S. M.; DINIZ, WELLISON J. S.; LIMA, ANDRESSA O.; ROCHA, MARINA I.; DECKER, JARED E.; SCHNABEL, ROBERT D.; MOURAO, GERSON B.; TULLIO, RYMER R.; ZERLOTINI, ADHEMAR; TAYLOR, JEREMY F.; REGITANO, LUCIANA C. A. Gene expression differences in Longissimus muscle of Nelore steers genetically divergent for residual feed intake. SCIENTIFIC REPORTS, v. 6, DEC 22 2016. Web of Science Citations: 14.
TIZIOTO, POLYANA C.; COUTINHO, LUIZ L.; DECKER, JARED E.; SCHNABEL, ROBERT D.; ROSA, KAMILA O.; OLIVEIRA, PRISCILA S. N.; SOUZA, MARCELA M.; MOURAO, GERSON B.; TULLIO, RYMER R.; CHAVES, AMALIA S.; LANNA, DANTE P. D.; ZERLOTINI-NETO, ADHEMAR; MUDADU, MAURICIO A.; TAYLOR, JEREMY F.; REGITANO, LUCIANA C. A. Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes. BMC Genomics, v. 16, MAR 25 2015. Web of Science Citations: 49.
VENERONI-GOUVEIA, G.; TIZIOTO, P. C.; MEIRELLES, S. L. C.; SANTIAGO, A. C.; ALENCAR, M. M.; REGITANO, L. C. A. Candidate genes for carcass traits in a tropical-adapted Brazilian composite beef breed. Genetics and Molecular Research, v. 14, n. 4, p. 16667-16674, 2015. Web of Science Citations: 0.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.