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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.)

Genomic structure and marker-derived gene networks for growth and meat quality traits of Brazilian Nelore beef cattle

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Autor(es):
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Mudadu, Mauricio A. [1, 2] ; Porto-Neto, Laercio R. [3] ; Mokry, Fabiana B. [4] ; Tizioto, Polyana C. [4] ; Oliveira, Priscila S. N. [4] ; Tullio, Rymer R. [2] ; Nassu, Renata T. [2] ; Niciura, Simone C. M. [2] ; Tholon, Patricia [2] ; Alencar, Mauricio M. [2] ; Higa, Roberto H. [1] ; Rosa, Antonio N. [5] ; Feijo, Gelson L. D. [5] ; Ferraz, Andre L. J. [6] ; Silva, Luiz O. C. [5] ; Medeiros, Sergio R. [5] ; Lanna, Dante P. [7] ; Nascimento, Michele L. [7] ; Chaves, Amalia S. [7] ; Souza, Andrea R. D. L. [8] ; Packer, Irineu U. [7] ; Torres, Jr., Roberto A. A. [5] ; Siqueira, Fabiane [5] ; Mourao, Gerson B. [7] ; Coutinho, Luiz L. [7] ; Reverter, Antonio [3] ; Regitano, Luciana C. A. [2]
Número total de Autores: 27
Afiliação do(s) autor(es):
[1] Embrapa Agr Informat, Ave Andre Tosello 209, Campinas, SP - Brazil
[2] Embrapa Southeast Livestock, Rodovia Washington Luiz, Km 234, Sao Carlos, SP - Brazil
[3] Commonwealth Sci & Ind Res Org Agr, 306 Carmody Rd, Brisbane, Qld - Australia
[4] Univ Fed Sao Carlos, Dept Genet & Evolut, Rodovia Washington Luiz, Km 235, BR-13560 Sao Carlos, SP - Brazil
[5] Embrapa Beef Cattle, Ave Radio Maia 830, Campo Grande, MS - Brazil
[6] Univ Estadual Mato Grosso do Sul, Rodovia Uems Aquidauana Km 12, Aquidauana, MS - Brazil
[7] Univ Sao Paulo, Dept Anim Sci, Ave Padua Dias 11306, Piracicaba, SP - Brazil
[8] Univ Fed Mato Grosso do Sul, Fac Med Vet & Zootecnia, Ave Senador Filinto Muller 2443, Campo Grande, MS - Brazil
Número total de Afiliações: 8
Tipo de documento: Artigo Científico
Fonte: BMC Genomics; v. 17, MAR 15 2016.
Citações Web of Science: 8
Resumo

Background: Nelore is the major beef cattle breed in Brazil with more than 130 million heads. Genome-wide association studies (GWAS) are often used to associate markers and genomic regions to growth and meat quality traits that can be used to assist selection programs. An alternative methodology to traditional GWAS that involves the construction of gene network interactions, derived from results of several GWAS is the AWM (Association Weight Matrices)/PCIT (Partial Correlation and Information Theory). With the aim of evaluating the genetic architecture of Brazilian Nelore cattle, we used high-density SNP genotyping data (similar to 770,000 SNP) from 780 Nelore animals comprising 34 half-sibling families derived from highly disseminated and unrelated sires from across Brazil. The AWM/PCIT methodology was employed to evaluate the genes that participate in a series of eight phenotypes related to growth and meat quality obtained from this Nelore sample. Results: Our results indicate a lack of structuring between the individuals studied since principal component analyses were not able to differentiate families by its sires or by its ancestral lineages. The application of the AWM/PCIT methodology revealed a trio of transcription factors (comprising VDR, LHX9 and ZEB1) which in combination connected 66 genes through 359 edges and whose biological functions were inspected, some revealing to participate in biological growth processes in literature searches. Conclusions: The diversity of the Nelore sample studied is not high enough to differentiate among families neither by sires nor by using the available ancestral lineage information. The gene networks constructed from the AWM/PCIT methodology were a useful alternative in characterizing genes and gene networks that were allegedly influential in growth and meat quality traits in Nelore cattle. (AU)

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