RNA-seq analysis identifies cytoskeletal structural genes and pathways for meat quality in beef
Joel D Leal-Gutiérrez1, Mauricio A Elzo1, Chad Carr1
1Department of Animal Sciences, University of Florida, Gainesville, Florida, United States of America.
Plos One
|November 11, 2020
Summary
RNA sequencing identified genes influencing beef meat quality traits like tenderness and marbling. These findings highlight cytoskeletal and transmembrane proteins
Area of Science:
- Animal Science
- Genomics
- Molecular Biology
Background:
- RNA sequencing (RNA-seq) enables transcriptional profiling to identify differentially expressed genes.
- Meat quality traits such as tenderness, juiciness, and marbling are crucial for consumer satisfaction.
- Understanding the genetic basis of these traits can improve beef production.
Purpose of the Study:
- To identify genes and pathways associated with meat quality traits in cattle using RNA-seq.
- To analyze differential gene expression related to extreme phenotypes of meat quality.
Main Methods:
- Selected 80 steers with extreme meat quality phenotypes (tenderness, marbling, Warner-Bratzler Shear Force).
- Performed RNA sequencing on longissimus dorsi muscle using Illumina HiSeq-3000.
- Analyzed gene expression using association and differential expression analyses against a meat quality index and extreme groups.
Main Results:
- Expression of 208 genes and 3,280 exons was associated with the meat quality index (p ≤ 0.05).
- Identified 676 differentially expressed genes for Warner-Bratzler Shear Force (adjusted p ≤ 0.05) and 198 for marbling (adjusted p ≤ 0.1).
- Found significant differential expression in isoforms related to WBSF, tenderness, and marbling.
Conclusions:
- Cytoskeletal and transmembrane anchoring genes and pathways are significantly associated with meat quality.
- These proteins influence meat quality by affecting muscle structure and architecture postmortem.
- The study provides insights into the molecular mechanisms underlying beef quality traits.
Related Concept Videos
Ribosome Profiling
3.9K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
3.9K
RNA-seq
11.2K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
11.2K


