Literature DB >> 32285226

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

Maria Malane Magalhães Muniz1,2, Larissa Fernanda Simielli Fonseca3, Ana Fabrícia Braga Magalhães4, Danielly Beraldo Dos Santos Silva3, Angela Canovas5, Stephanie Lam5, Jesus Aparecido Ferro3,6, Fernando Baldi3,6, Artur Loyola Chardulo6,7, Lucia Galvão de Albuquerque3,6.   

Abstract

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.

Entities:  

Keywords:  Longissimus thoracis; MFI; Meat quality; Nellore

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Year:  2020        PMID: 32285226     DOI: 10.1007/s10142-020-00738-9

Source DB:  PubMed          Journal:  Funct Integr Genomics        ISSN: 1438-793X            Impact factor:   3.410


  3 in total

1.  Characterization of novel lncRNA muscle expression profiles associated with meat quality in beef cattle.

Authors:  Maria Malane Magalhães Muniz; Larissa Fernanda Simielli Fonseca; Daiane Cristina Becker Scalez; Aroa Suarez Vega; Danielly Beraldo Dos Santos Silva; Jesus Aparecido Ferro; Artur Loyola Chardulo; Fernando Baldi; Angela Cánovas; Lucia Galvão de Albuquerque
Journal:  Evol Appl       Date:  2022-03-25       Impact factor: 4.929

2.  Transcriptome Analysis of the Liver and Muscle Tissues of Dorper and Small-Tailed Han Sheep.

Authors:  Hongyang Peng; Mingyue Hu; Zhengxi Liu; Weining Lai; Lulu Shi; Zhongli Zhao; Huihai Ma; Yumei Li; Shouqing Yan
Journal:  Front Genet       Date:  2022-04-11       Impact factor: 4.772

3.  Evaluation of RNA quality and functional transcriptome of beef longissimus thoracis over time post-mortem.

Authors:  Stephanie Lam; Arun Kommadath; Óscar López-Campos; Nuria Prieto; Jennifer Aalhus; Manuel Juárez; Michael E R Dugan; Payam Vahmani
Journal:  PLoS One       Date:  2021-05-25       Impact factor: 3.240

  3 in total

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