Resequencing of Brazilian locally adapted cattle breeds revealed variants in candidate genes and transcription factors for meat fatty acid profile

Author:

Vieira João Inácio Gomes1,Braga Larissa Graciano2,Chud Tatiane C. S.3,Ferreira Pablo Henrique1,Guimarães Simone Eliza Facioni4ORCID,Martins Marta Fonseca5,do Carmo Panetto João Cláudio5,Machado Marco Antonio5,Silva Danielly Beraldo dos Santos6,Bonafé Cristina Moreira1,Magalhães Ana Fabrícia Braga1,da Silva Marcos Vinícius G. B.5ORCID,Verardo Lucas Lima1ORCID

Affiliation:

1. Universidade Federal dos Vales Do Jequitinhonha e Mucuri Diamantina Minas Gerais Brazil

2. Departamento de Engenharia e Ciências Exatas Universidade Estadual Paulista São Paulo Brazil

3. PEAK, URUS Group Madison Wisconsin USA

4. Universidade Federal de Viçosa Viçosa Minas Gerais Brazil

5. Embrapa Dairy Cattle, Juiz de Fora Minas Gerais Brazil

6. Universidade Prof. Edson Antônio Velano (Unifenas) Alfenas Minas Gerais Brazil

Abstract

AbstractThe beef cattle industry has experienced a shift driven by a market demand for healthier meat, cost efficiency and environmental sustainability in recent years. Consequently, there has been a growing focus on the fatty acids content and functions of meat in cattle breeding programmes. Besides, a deeper understanding of the biological mechanisms influencing the expression of different phenotypes related to fatty acid profiles is crucial. In this study, we aimed to identify Single‐Nucleotide Variants (SNV) and Insertion/Deletion (InDels) DNA variants in candidate genes related to fatty acid profiles described in genomic, transcriptomic and proteomic studies conducted in beef cattle breeds. Utilizing whole‐genome re‐sequencing data from Brazilian locally adapted bovine breeds, namely Caracu and Pantaneiro, we identified SNVs and InDels associated with 23,947 genes. From these, we identified 318 candidate genes related to fatty acid profiles that contain variants. Subsequently, we select only genes with SNVs and InDels in their promoter, 5′ UTR and coding region. Through the gene–biological process network, approximately 19 genes were highlighted. Furthermore, considering the studied trait and a literature review, we selected the main transcription factors (TF). Functional analysis via gene–TF network allowed us to identify the 30 most likely candidate genes for meat fatty acid profile in cattle. LIPE, MFSD2A and SREBF1 genes were highlighted in networks due to their biological importance. Further dissection of these genes revealed 15 new variants found in promoter regions of Caracu and Pantaneiro sequences. The gene networks facilitated a better functional understanding of genes and TF, enabling the identification of variants potentially related to the expression of candidate genes for meat fatty acid profiles in cattle.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Publisher

Wiley

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