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Characterization of novel lncRNA muscle expression profiles associated with meat quality in beef cattle.
Muniz, Maria Malane Magalhães; Simielli Fonseca, Larissa Fernanda; Scalez, Daiane Cristina Becker; Vega, Aroa Suarez; Silva, Danielly Beraldo Dos Santos; Ferro, Jesus Aparecido; Chardulo, Artur Loyola; Baldi, Fernando; Cánovas, Angela; de Albuquerque, Lucia Galvão.
Afiliación
  • Muniz MMM; School of Agricultural and Veterinarian Sciences São Paulo State University (Unesp) Jaboticabal SP Brazil.
  • Simielli Fonseca LF; Department of Animal Biosciences Centre for Genetic Improvement of Livestock University of Guelph Guelph Ontario Canada.
  • Scalez DCB; School of Agricultural and Veterinarian Sciences São Paulo State University (Unesp) Jaboticabal SP Brazil.
  • Vega AS; School of Agricultural and Veterinarian Sciences São Paulo State University (Unesp) Jaboticabal SP Brazil.
  • Silva DBDS; Department of Animal Biosciences Centre for Genetic Improvement of Livestock University of Guelph Guelph Ontario Canada.
  • Ferro JA; School of Agricultural and Veterinarian Sciences São Paulo State University (Unesp) Jaboticabal SP Brazil.
  • Chardulo AL; School of Agricultural and Veterinarian Sciences São Paulo State University (Unesp) Jaboticabal SP Brazil.
  • Baldi F; National Council for Scientific and Technological Development (CNPq) Jaboticabal SP Brazil.
  • Cánovas A; National Council for Scientific and Technological Development (CNPq) Jaboticabal SP Brazil.
  • de Albuquerque LG; College of Veterinary and Animal Science São Paulo State University (Unesp) Botucatu SP Brazil.
Evol Appl ; 15(4): 706-718, 2022 Apr.
Article en En | MEDLINE | ID: mdl-35505883
ABSTRACT
The aim of this study was to identify novel lncRNA differentially expressed (DE) between divergent animals for beef tenderness and marbling traits in Nellore cattle. Longissimus thoracis muscle samples from the 20 most extreme bulls (of 80 bulls set) for tenderness, tender (n = 10) and tough (n = 10) groups, and marbling trait, high (n = 10) and low (n = 10) groups were used to perform transcriptomic analysis using RNA-Sequencing. For tenderness, 29 lncRNA were DE (p-value ≤ 0.01) in tough beef animals in relation to tender beef animals. We observed that genic lncRNAs, for example, lncRNA_595.1, were overlapping exonic part of the PICK gene, while lncRNA_3097.2 and lncRNA_3129.5 overlapped intronic part of the genes GADL1 and PSMD6. The lncRNA associated with PICK1, GADL1, and PMD6 genes were enriched in the pathways associated with the ionotropic glutamate receptor, gamma-aminobutyric acid synthesis, and the ubiquitin-proteasome pathway. For marbling, 50 lncRNA were DE (p-value ≤ 0.01) in high marbling group compared with low marbling animals. The genic lncRNAs, such as lncRNA_3191.1, were overlapped exonic part of the ITGAL gene, and the lncRNA_512.1, lncRNA_3721.1, and lncRNA_41.4 overlapped intronic parts of the KRAS and MASP1 genes. The KRAS and ITGAL genes were enriched in pathways associated with integrin signaling, which is involved in intracellular signals in response to the extracellular matrix, including cell form, mobility, and mediates progression through the cell cycle. In addition, the lincRNAs identified to marbling trait were associated with several genes related to calcium binding, muscle hypertrophy, skeletal muscle, lipase, and oxidative stress response pathways that seem to play a role important in the physiological processes related to meat quality. These findings bring new insights to better understand the biology mechanisms involved in the gene regulation of these traits, which will be valuable for a further investigation of the interactions between lncRNA and mRNAs, and of how these interactions may affect meat quality traits.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Evol Appl Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Evol Appl Año: 2022 Tipo del documento: Article