Use of gene expression profile to identify potentially relevant transcripts to myofibrillar fragmentation index trait
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , |
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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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 |
|
_version_ |
1808128299364253696 |