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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Differentially expressed genes identified through RNA-seq with extreme values of principal components for beef fatty acid in Nelore cattle

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Author(s):
Olivieri, Bianca Ferreira [1] ; Braz, Camila Urbano [1] ; Lopes, Fernando Brito [2, 1] ; Peripolli, Elisa [1] ; de Oliveira Silva, Rafael Medeiros [3] ; Pereira da Silva Corte, Rosana Ruegger [4] ; de Albuquerque, Lucia Galvao [1] ; Cravo Pereira, Angelica Simone [4] ; Stafuzza, Nedenia Bonvino [5] ; Baldi, Fernando [1]
Total Authors: 10
Affiliation:
[1] Univ Estadual Paulista, UNESP, Dept Zootecnia, Fac Ciencias Agr & Vet, Jaboticabal - Brazil
[2] Embrapa Cerrados, Brasilia, DF - Brazil
[3] Zoetis, Sao Paulo - Brazil
[4] Univ Sao Paulo, Dept Nutr & Prod Anim, Fac Zootecnia & Engn Alimentos, Pirassununga - Brazil
[5] Inst Zootecnia IZ, Ctr Pesquisa Bovinos de Corte, Sertaozinho - Brazil
Total Affiliations: 5
Document type: Journal article
Source: JOURNAL OF ANIMAL BREEDING AND GENETICS; v. 138, n. 1 MAY 2020.
Web of Science Citations: 0
Abstract

The aim of this study was to identify differentially expressed genes (DEG) in the Longissimus thoracis muscle of Nelore cattle related to fatty acid (FA) profile through RNA sequencing and principal component analysis (PCA). Two groups of 10 animals each were selected containing PC1 and PC2 extreme DEG values (HIGH x LOW) for each FA group. The intramuscular fat (IMF) was compared between cluster groups by ANOVA, and only the sum of monounsaturated FA (MUFA) and omega 3 showed significant differences (p < .05). Interestingly, the highest percentage (95%) of phenotypic variation explained by the sum of the first two PC was observed for omega 3, which also displayed the lowest number of DEG (n = 1). The lowest percentage (59%) was observed for MUFA, which also revealed the largest number of DEG (n = 66). Since only MUFA and omega 3 exhibited significant differences between cluster groups, we can conclude that the differences observed for the remaining groups are not due to the percentage of IMF. Several genes that have been previously associated with meat quality and FA traits were identified as DEG in this study. The functional analysis revealed one KEGG pathway and eight GO terms as significant (p < .05), in which we highlighted the purine metabolism, glycolytic process, adenosine triphosphate binding and bone development. These results strongly contribute to the knowledge of the biological mechanisms involved in meat FA profile of Nelore cattle. (AU)

FAPESP's process: 17/03221-9 - GENOME-WIDE SELECTION AND FEATURE SUBSET SELECTION OF MARKERS BY BAYESIAN NETWORKS IN BEEF CATTLE USING MULTIPLE-TRAIT MODEL
Grantee:Fernando Brito Lopes
Support Opportunities: Scholarships in Brazil - Post-Doctorate
FAPESP's process: 11/21241-0 - Study of the genetic variability of meat fatty acid profile in Nelore cattle finished in feedlot
Grantee:Fernando Sebastián Baldi Rey
Support Opportunities: Research Grants - Young Investigators Grants
FAPESP's process: 16/24084-7 - Identification of selection signatures and structural variants from next-generation sequencing data in zebu and locally adapted taurine breeds
Grantee:Elisa Peripolli
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 19/10438-0 - Integrative transcriptomic and proteomic analyzes to identify biomarkers for feed efficiency, heat stress and tick resistance in Caracu breed
Grantee:Nedenia Bonvino Stafuzza
Support Opportunities: Scholarships in Brazil - Young Researchers