Use of gene expression profile to identify potentially relevant transcripts to myofibrillar fragmentation index trait

Detalhes bibliográficos
Autor(a) principal: Muniz, Maria Malane Magalhães [UNESP]
Data de Publicação: 2020
Outros Autores: Fonseca, Larissa Fernanda Simielli [UNESP], Magalhães, Ana Fabrícia Braga, dos Santos Silva, Danielly Beraldo [UNESP], Canovas, Angela, Lam, Stephanie, Ferro, Jesus Aparecido [UNESP], Baldi, Fernando [UNESP], Chardulo, Artur Loyola [UNESP], de Albuquerque, Lucia Galvão [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s10142-020-00738-9
http://hdl.handle.net/11449/201709
Resumo: The myofibrillar fragmentation index (MFI) is an indicative trait for meat tenderness. Longissimus thoracis muscle samples from the 20 most extreme bulls (out of 80 bulls set) for MFI (high (n = 10) and low (n = 10) groups) trait were used to perform transcriptomic analysis, using RNA Sequencing (RNA-Seq). An average of 24.616 genes was expressed in the Nellore muscle transcriptome analysis. A total of 96 genes were differentially expressed (p value ≤ 0.001) between the two groups of divergent bulls for MFI. The HEBP2 and BDH1 genes were overexpressed in animals with high MFI. The MYBPH and MYL6, myosin encoders, were identified. The differentially expressed genes were related to increase mitochondria efficiency, especially in cells under oxidative stress conditions, and these also were related to zinc and calcium binding, membrane transport, and muscle constituent proteins, such as actin and myosin. Most of those genes were involved in metabolic pathways of oxidation-reduction, transport of lactate in the plasma membrane, and muscle contraction. This is the first study applying MFI phenotypes in transcriptomic studies to identify and understand differentially expressed genes for beef tenderness. These results suggest that differences detected in gene expression between high and low MFI animals are related to reactive mechanisms and structural components of oxidative fibers under the condition of cellular stress. Some genes may be selected as positional candidate genes to beef tenderness, MYL6, MYBPH, TRIM63, TRIM55, TRIOBP, and CHRNG genes. The use of MFI phenotypes could enhance results of meat tenderness studies.
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spelling Use of gene expression profile to identify potentially relevant transcripts to myofibrillar fragmentation index traitLongissimus thoracisMeat qualityMFINelloreThe myofibrillar fragmentation index (MFI) is an indicative trait for meat tenderness. Longissimus thoracis muscle samples from the 20 most extreme bulls (out of 80 bulls set) for MFI (high (n = 10) and low (n = 10) groups) trait were used to perform transcriptomic analysis, using RNA Sequencing (RNA-Seq). An average of 24.616 genes was expressed in the Nellore muscle transcriptome analysis. A total of 96 genes were differentially expressed (p value ≤ 0.001) between the two groups of divergent bulls for MFI. The HEBP2 and BDH1 genes were overexpressed in animals with high MFI. The MYBPH and MYL6, myosin encoders, were identified. The differentially expressed genes were related to increase mitochondria efficiency, especially in cells under oxidative stress conditions, and these also were related to zinc and calcium binding, membrane transport, and muscle constituent proteins, such as actin and myosin. Most of those genes were involved in metabolic pathways of oxidation-reduction, transport of lactate in the plasma membrane, and muscle contraction. This is the first study applying MFI phenotypes in transcriptomic studies to identify and understand differentially expressed genes for beef tenderness. These results suggest that differences detected in gene expression between high and low MFI animals are related to reactive mechanisms and structural components of oxidative fibers under the condition of cellular stress. Some genes may be selected as positional candidate genes to beef tenderness, MYL6, MYBPH, TRIM63, TRIM55, TRIOBP, and CHRNG genes. The use of MFI phenotypes could enhance results of meat tenderness studies.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)School of Agricultural and Veterinarian Sciences São Paulo State University (Unesp)Department of Animal Biosciences Centre for Genetic Improvement of Livestock University of GuelphAPTA Beef Cattle Center Animal Science InstituteNational Council for Scientific and Technological Development (CNPq)College of Veterinary and Animal Science São Paulo State University (Unesp)School of Agricultural and Veterinarian Sciences São Paulo State University (Unesp)College of Veterinary and Animal Science São Paulo State University (Unesp)FAPESP: # 09/16118-5FAPESP: #17/04270-3FAPESP: #18/11154-2Universidade Estadual Paulista (Unesp)University of GuelphAnimal Science InstituteNational Council for Scientific and Technological Development (CNPq)Muniz, Maria Malane Magalhães [UNESP]Fonseca, Larissa Fernanda Simielli [UNESP]Magalhães, Ana Fabrícia Bragados Santos Silva, Danielly Beraldo [UNESP]Canovas, AngelaLam, StephanieFerro, Jesus Aparecido [UNESP]Baldi, Fernando [UNESP]Chardulo, Artur Loyola [UNESP]de Albuquerque, Lucia Galvão [UNESP]2020-12-12T02:39:48Z2020-12-12T02:39:48Z2020-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article609-619http://dx.doi.org/10.1007/s10142-020-00738-9Functional and Integrative Genomics, v. 20, n. 4, p. 609-619, 2020.1438-79481438-793Xhttp://hdl.handle.net/11449/20170910.1007/s10142-020-00738-92-s2.0-85083801717Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengFunctional and Integrative Genomicsinfo:eu-repo/semantics/openAccess2024-06-07T18:39:20Zoai:repositorio.unesp.br:11449/201709Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:58:42.777960Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Use of gene expression profile to identify potentially relevant transcripts to myofibrillar fragmentation index trait
title Use of gene expression profile to identify potentially relevant transcripts to myofibrillar fragmentation index trait
spellingShingle Use of gene expression profile to identify potentially relevant transcripts to myofibrillar fragmentation index trait
Muniz, Maria Malane Magalhães [UNESP]
Longissimus thoracis
Meat quality
MFI
Nellore
title_short Use of gene expression profile to identify potentially relevant transcripts to myofibrillar fragmentation index trait
title_full Use of gene expression profile to identify potentially relevant transcripts to myofibrillar fragmentation index trait
title_fullStr Use of gene expression profile to identify potentially relevant transcripts to myofibrillar fragmentation index trait
title_full_unstemmed Use of gene expression profile to identify potentially relevant transcripts to myofibrillar fragmentation index trait
title_sort Use of gene expression profile to identify potentially relevant transcripts to myofibrillar fragmentation index trait
author Muniz, Maria Malane Magalhães [UNESP]
author_facet Muniz, Maria Malane Magalhães [UNESP]
Fonseca, Larissa Fernanda Simielli [UNESP]
Magalhães, Ana Fabrícia Braga
dos Santos Silva, Danielly Beraldo [UNESP]
Canovas, Angela
Lam, Stephanie
Ferro, Jesus Aparecido [UNESP]
Baldi, Fernando [UNESP]
Chardulo, Artur Loyola [UNESP]
de Albuquerque, Lucia Galvão [UNESP]
author_role author
author2 Fonseca, Larissa Fernanda Simielli [UNESP]
Magalhães, Ana Fabrícia Braga
dos Santos Silva, Danielly Beraldo [UNESP]
Canovas, Angela
Lam, Stephanie
Ferro, Jesus Aparecido [UNESP]
Baldi, Fernando [UNESP]
Chardulo, Artur Loyola [UNESP]
de Albuquerque, Lucia Galvão [UNESP]
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
University of Guelph
Animal Science Institute
National Council for Scientific and Technological Development (CNPq)
dc.contributor.author.fl_str_mv Muniz, Maria Malane Magalhães [UNESP]
Fonseca, Larissa Fernanda Simielli [UNESP]
Magalhães, Ana Fabrícia Braga
dos Santos Silva, Danielly Beraldo [UNESP]
Canovas, Angela
Lam, Stephanie
Ferro, Jesus Aparecido [UNESP]
Baldi, Fernando [UNESP]
Chardulo, Artur Loyola [UNESP]
de Albuquerque, Lucia Galvão [UNESP]
dc.subject.por.fl_str_mv Longissimus thoracis
Meat quality
MFI
Nellore
topic Longissimus thoracis
Meat quality
MFI
Nellore
description The myofibrillar fragmentation index (MFI) is an indicative trait for meat tenderness. Longissimus thoracis muscle samples from the 20 most extreme bulls (out of 80 bulls set) for MFI (high (n = 10) and low (n = 10) groups) trait were used to perform transcriptomic analysis, using RNA Sequencing (RNA-Seq). An average of 24.616 genes was expressed in the Nellore muscle transcriptome analysis. A total of 96 genes were differentially expressed (p value ≤ 0.001) between the two groups of divergent bulls for MFI. The HEBP2 and BDH1 genes were overexpressed in animals with high MFI. The MYBPH and MYL6, myosin encoders, were identified. The differentially expressed genes were related to increase mitochondria efficiency, especially in cells under oxidative stress conditions, and these also were related to zinc and calcium binding, membrane transport, and muscle constituent proteins, such as actin and myosin. Most of those genes were involved in metabolic pathways of oxidation-reduction, transport of lactate in the plasma membrane, and muscle contraction. This is the first study applying MFI phenotypes in transcriptomic studies to identify and understand differentially expressed genes for beef tenderness. These results suggest that differences detected in gene expression between high and low MFI animals are related to reactive mechanisms and structural components of oxidative fibers under the condition of cellular stress. Some genes may be selected as positional candidate genes to beef tenderness, MYL6, MYBPH, TRIM63, TRIM55, TRIOBP, and CHRNG genes. The use of MFI phenotypes could enhance results of meat tenderness studies.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-12T02:39:48Z
2020-12-12T02:39:48Z
2020-07-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/s10142-020-00738-9
Functional and Integrative Genomics, v. 20, n. 4, p. 609-619, 2020.
1438-7948
1438-793X
http://hdl.handle.net/11449/201709
10.1007/s10142-020-00738-9
2-s2.0-85083801717
url http://dx.doi.org/10.1007/s10142-020-00738-9
http://hdl.handle.net/11449/201709
identifier_str_mv Functional and Integrative Genomics, v. 20, n. 4, p. 609-619, 2020.
1438-7948
1438-793X
10.1007/s10142-020-00738-9
2-s2.0-85083801717
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Functional and Integrative Genomics
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 609-619
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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