Transcriptomic investigation of meat tenderness in two Italian cattle breeds
Summary Our objectives for this study were to understand the biological basis of meat tenderness and to provide an overview of the gene expression profiles related to meat quality as a tool for selection. Through deep mRNA sequencing, we analyzed gene expression in muscle tissues of two Italian catt...
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Published in | Animal genetics Vol. 47; no. 3; pp. 273 - 287 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Blackwell Publishing Ltd
01.06.2016
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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Summary: | Summary
Our objectives for this study were to understand the biological basis of meat tenderness and to provide an overview of the gene expression profiles related to meat quality as a tool for selection. Through deep mRNA sequencing, we analyzed gene expression in muscle tissues of two Italian cattle breeds: Maremmana and Chianina. We uncovered several differentially expressed genes that encode for proteins belonging to a family of tripartite motif proteins, which are involved in growth, cell differentiation and apoptosis, such as TRIM45, or play an essential role in regulating skeletal muscle differentiation and the regeneration of adult skeletal muscle, such as TRIM32. Other differentially expressed genes (SCN2B, SLC9A7 and KCNK3) emphasize the involvement of potassium–sodium pumps in tender meat. By mapping splice junctions in RNA‐Seq reads, we found significant differences in gene isoform expression levels. The PRKAG3 gene, which is involved in the regulation of energy metabolism, showed four isoforms that were differentially expressed. This distinct pattern of PRKAG3 gene expression could indicate impaired glycogen storage in skeletal muscle, and consequently, this gene very likely has a role in the tenderization process. Furthermore, with this deep RNA‐sequencing, we captured a high number of expressed SNPs, for example, we found 1462 homozygous SNPs showing the alternative allele with a 100% frequency when comparing tender and tough meat. SNPs were then classified into categories by their position and also by their effect on gene coding (174 non‐synonymous polymorphisms) based on the available UMD_3.1 annotations. |
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Bibliography: | ark:/67375/WNG-TQBMX2G5-C Figure S1 Gene Ontology analysis of the differentially expressed genes.Table S1 List of up- and down-expressed genes comparing tender vs. tough samples.Table S2 List of up- and down-expressed genes comparing tender vs. tough samples within Chianina.Table S3 List of up- and down-expressed genes comparing tender vs. tough samples within Maremmana.Table S4 Statistically significant alternative splicing between tender and tough meat samples.Table S5 Statistically significant alternative splicing between tender and tough meat samples within Chianina.Table S6 Statistically significant alternative splicing between tender and tough meat samples within Maremmana. Italian Ministry of Agricultural, Forestry and Food Policies - No. MIPAAF 132/7303/2006 ArticleID:AGE12418 istex:9A8C7758C46BE11228195AB60D2407FE4EF2D55E ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0268-9146 1365-2052 |
DOI: | 10.1111/age.12418 |