Functional genomics of feed intake and efficiency in Nellore cattle

• Grant number: 13/20571-2
• Support type: Scholarships in Brazil - Post-Doctorate
• Effective date (Start): March 01, 2014
• Effective date (End): February 28, 2018
• Field of knowledge: Agronomical Sciences - Animal Husbandry
• Principal Investigator: José Bento Sterman Ferraz
• Grantee: Miguel Henrique de Almeida Santana
• Home Institution: Faculdade de Zootecnia e Engenharia de Alimentos (FZEA). Universidade de São Paulo (USP). Pirassununga , SP, Brazil
• Associated research grant: 12/50533-2 - GIFT: genomic improvement of fertilization traits in Danish and Brazilian cattle, AP.TEM
• Associated scholarship(s): 14/14121-7 - System genetics studies of feedlot traits using super-dense SNP panel, BE.EP.PD

Abstract

Production costs are extremely important in the cattle, from the higher costs, are highlighted the costs of feed. Moreover, the fact that Brazil is featured in this production chain, with about 200 million bovines, mainly animals Bos primigenius indicus, mostly Nellore, further increases the importance of studies aimed at improving productivity and reducing the environmental impact of production systems. Intake and feed efficiency has been the subject of many studies in recent decades; its notoriety has been reported widely in taurine cattle (Bos primigenius taurus), however studies in Nellore began less than a decade. Addition to that, the accelerated evolution of biotechnology, focused on genetics and molecular biology led to the complete sequencing of the bovine genome, and thus, the prospect of hundreds of thousands of molecular markers like single nucleotide polymorphisms (SNPs). Furthermore, the incorporation of thousands of SNPs, originated the genome wide association studies (GWAS), which allowed the rapid and efficient identification of regions and markers that influence determined phenotypes. Additionally, pointing out the locations of genes that may explain physiologically some economic interest traits. The aim of the study is to carry the GWAS in different panels of SNPs for intake and feed efficiency in Nellore, to identify SNPs associated with these phenotypes; combine the information from these different panels through the imputation; to verify the regions around these markers, identifying the genes involved; and also characterize the genes identified as to their hepatic gene expression.

Scientific publications

(9)

(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)

DE ALMEIDA SANTANA, MIGUEL HENRIQUE; GEBIM POLIZEL, GUILHERME HENRIQUE; GRIGOLETTO, LAIS; FERNANDES, ARICIA CHRISTOFARO; BONIN, MARINA DE NADAI; GOMES, RODRIGO DA COSTA; CARVALHO, MINOS ESPERANDIO; DA LUZ E SILVA, SAULO; LEME, PAULO ROBERTO; ROSSI JUNIOR, PAULO; STERMAN FERRAZ, JOSE BENTO. The genetic and genomic effects of Nellore lineages on feed efficiency, intake and performance. LIVESTOCK SCIENCE, v. 228, p. 104-108, OCT 2019. Web of Science Citations: 0.

GEBIM POLIZEL, GUILHERME HENRIQUE; GRIGOLETTO, LAIS; CARVALHO, MINOS ESPERANDIO; ROSSI JUNIOR, PAULO; STERMAN FERRAZ, JOSE BENTO; DE ALMEIDA SANTANA, MIGUEL HENRIQUE. Genetic correlations and heritability estimates for dry matter intake, weight gain and feed efficiency of Nellore cattle in feedlot. LIVESTOCK SCIENCE, v. 214, p. 209-210, AUG 2018. Web of Science Citations: 1.

FREUA, MATEUS CASTELANI; DE ALMEIDA SANTANA, MIGUEL HENRIQUE; VENTURA, RICARDO VIEIRA; TEDESCHI, LUIS ORLINDO; STERMAN FERRAZ, JOSE BENTO. Using a system of differential equations that models cattle growth to uncover the genetic basis of complex traits. JOURNAL OF APPLIED GENETICS, v. 58, n. 3, p. 393-400, AUG 2017. Web of Science Citations: 0.

GRIGOLETTO, L.; PEREZ, B. C.; SANTANA, M. H. A.; BALDI, F.; FERRAZ, J. B. S. Genetic contribution of cytoplasmic lineage effect on feed efficiency in Nellore cattle. LIVESTOCK SCIENCE, v. 198, p. 52-57, APR 2017. Web of Science Citations: 2.

DE ALMEIDA SANTANA, MIGUEL HENRIQUE; OLIVEIRA JUNIOR, GERSON ANTONIO; MELLO CESAR, ALINE SILVA; FREUA, MATEUS CASTELANI; GOMES, RODRIGO DA COSTA; DA LUZ E SILVA, SAULO; LEME, PAULO ROBERTO; FUKUMASU, HEIDGE; CARVALHO, MINOS ESPERANDIO; VENTURA, RICARDO VIEIRA; COUTINHO, LUIZ LEHMANN; KADARMIDEEN, HAJA N.; STERMAN FERRAZ, JOSE BENTO. Copy number variations and genome-wide associations reveal putative genes and metabolic pathways involved with the feed conversion ratio in beef cattle. JOURNAL OF APPLIED GENETICS, v. 57, n. 4, p. 495-504, NOV 2016. Web of Science Citations: 20.

FREUA, MATEUS CASTELANI; DE ALMEIDA SANTANA, MIGUEL HENRIQUE; STERMAN FERRAZ, JOSE BENTO. A new approach for applied nutritional models: Computing parameters of dynamic mechanistic growth models using genorne-wide prediction. LIVESTOCK SCIENCE, v. 190, p. 131-135, AUG 2016. Web of Science Citations: 1.

SANTANA, M. H. A.; FREUA, M. C.; DO, D. N.; VENTURA, R. V.; KADARMIDEEN, H. N.; FERRAZ, J. B. S. Systems genetics and genome-wide association approaches for analysis of feed intake, feed efficiency, and performance in beef cattle. Genetics and Molecular Research, v. 15, n. 4 2016. Web of Science Citations: 3.

SANTANA, M. H. A.; VENTURA, R. V.; UTSUNOMIYA, Y. T.; NEVES, H. H. R.; ALEXANDRE, P. A.; OLIVEIRA JUNIOR, G. A.; GOMES, R. C.; BONIN, M. N.; COUTINHO, L. L.; GARCIA, J. F.; SILVA, S. L.; FUKUMASU, H.; LEME, P. R.; FERRAZ, J. B. S. A genomewide association mapping study using ultrasound-scanned information identifies potential genomic regions and candidate genes affecting carcass traits in Nellore cattle. JOURNAL OF ANIMAL BREEDING AND GENETICS, v. 132, n. 6, p. 420-427, DEC 2015. Web of Science Citations: 9.

SANTANA, M. H. A.; GOMES, R. C.; UTSUNOMIYA, Y. T.; NEVES, H. H. R.; NOVAIS, F. J.; BONIN, M. N.; FUKUMASU, H.; GARCIA, J. F.; ALEXANDRE, P. A.; OLIVEIRA JUNIOR, G. A.; COUTINHO, L. L.; FERRAZ, J. B. S. Genome-wide association with residual body weight gain in Bos indicus cattle. Genetics and Molecular Research, v. 14, n. 2, p. 5229-5233, 2015. Web of Science Citations: 2.