Recent advances in omic technologies for meat quality management

Area of Science:

• Molecular biology and genomics applied to animal science.
• Biotechnology and bioinformatics in agriculture.

Background:

• Molecular organization knowledge has advanced significantly.
• High-throughput sequencing (e.g., SNP array, RNAseq) and genomic tools allow large-scale molecular analysis.

Purpose of the Study:

• To identify molecular biomarkers associated with meat quality traits in farm animals.
• To explore the potential for cross-species biomarker application.
• To develop molecular tools for managing meat production quality.

Main Methods:

• Utilizing high-throughput sequencing and genomic tools.
• Analyzing proteins, mRNAs, and metabolites in pigs, cattle, and chickens.
• Detecting abundance variations linked to meat quality.

Main Results:

• Identified proteins, mRNAs, and metabolites associated with meat quality in various farm animals.
• Demonstrated potential for cross-species biomarker utility.
• Highlighted the role of these molecules as predictive indicators of meat quality.

Conclusions:

• Molecular biomarkers are valuable for assessing and predicting meat quality in farm animals.
• Rapid methods for biomarker detection will facilitate on-farm and in-slaughterhouse applications.
• These tools can enhance genetic selection and optimize meat production chains for desired quality.