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Genetic regulators of mineral amount in Nelore cattle muscle predicted by a new co-expression and regulatory impact factor approach

Authors :
Juliana Petrini
C. F. Gromboni
Andressa Oliveira de Lima
Ana Rita A. Nogueira
Juliana Afonso
Antonio Reverter
Aline Silva Mello Cesar
Luciana Correia de Almeida Regitano
Luiz Lehmann Coutinho
Adhemar Zerlotini
Marina R. S. Fortes
Gerson Barreto Mourão
Wellison Jarles da Silva Diniz
Marcela Maria de Souza
JULIANA AFONSO, UFSCar
MARINA RUFINO SALINAS FORTES, The University of Queensland
ANTONIO REVERTER, Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation, Brisbane
WELLISON JARLES DA SILVA DINIZ, UFSCar
ALINE SILVA MELLO CESAR, Esalq/USP
ANDRESSA OLIVEIRA DE LIMA, UFSCar
JULIANA PETRINI, UNIFAL
MARCELA M. DE SOUZA, Iowa State University
LUIZ LEHMANN COUTINHO, Esalq/USP
GERSON BARRETO MOURÃO, Esalq/USP
ADHEMAR ZERLOTINI NETO, CNPTIA
CAIO FERNANDO GROMBONI, Bahia Federal Institute of Education, Science and Technology, Ilhéus
ANA RITA ARAÚJO NOGUEIRA
LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE.
Source :
Scientific Reports, Scientific Reports, Vol 10, Iss 1, Pp 1-16 (2020), Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice), Empresa Brasileira de Pesquisa Agropecuária (Embrapa), instacron:EMBRAPA, Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual), Universidade de São Paulo (USP), instacron:USP
Publication Year :
2019

Abstract

Mineral contents in bovine muscle can affect meat quality, growth, health, and reproductive traits. To better understand the genetic basis of this phenotype in Nelore (Bos indicus) cattle, we analysed genome-wide mRNA and miRNA expression data from 114 muscle samples. The analysis implemented a new application for two complementary algorithms: the partial correlation and information theory (PCIT) and the regulatory impact factor (RIF), in which we included the estimated genomic breeding values (GEBVs) for the phenotypes additionally to the expression levels, originally proposed for these methods. We used PCIT to determine putative regulatory relationships based on significant associations between gene expression and GEBVs for each mineral amount. Then, RIF was adopted to determine the regulatory impact of genes and miRNAs expression over the GEBVs for the mineral amounts. We also investigated over-represented pathways, as well as pieces of evidences from previous studies carried in the same population and in the literature, to determine regulatory genes for the mineral amounts. For example, NOX1 expression level was positively correlated to Zinc and has been described as Zinc-regulated in humans. Based on our approach, we were able to identify genes, miRNAs and pathways not yet described as underlying mineral amount. The results support the hypothesis that extracellular matrix interactions are the core regulator of mineral amount in muscle cells. Putative regulators described here add information to this hypothesis, expanding the knowledge on molecular relationships between gene expression and minerals. Made available in DSpace on 2020-09-09T04:37:14Z (GMT). No. of bitstreams: 1 AP-Genetic-regulators-2020.pdf: 3953162 bytes, checksum: f7f057405a94ac732a64d0f4b4788219 (MD5) Previous issue date: 2020 Article: 8436.

Details

ISSN :
20452322
Volume :
10
Issue :
1
Database :
OpenAIRE
Journal :
Scientific reports
Accession number :
edsair.doi.dedup.....2ed4b53968e1c16b2ad8d43926e577cc