Pig identification and meat traceability by multiallelic amplification fragments with multiple single nucleotide...

Area of Science:

• Animal Genetics
• Molecular Biology
• Food Science

Background:

• Conventional pig identification and meat traceability methods lack reliability.
• DNA-based methods, including single nucleotide polymorphisms (SNPs) and microsatellites, offer improved accuracy.
• There is a need for more powerful genetic tools for precise animal identification.

Purpose of the Study:

• To develop and validate a novel DNA-based method for pig identification and meat traceability.
• To combine the advantages of SNPs and microsatellites into a single, more effective approach.
• To assess the efficacy of this new method for identifying purebred and hybrid pigs.

Main Methods:

• Selection of primer pairs for multiallelic fragments and their optimal single nucleotide polymorphisms (SNPs).
• Application of these primers and SNPs for identifying individuals from Suzhong and Duroc pig populations.
• Validation of a combined panel for identifying Suzhong × Duroc hybrids.

Main Results:

• Successfully selected multiallelic amplification fragments with multiple SNPs.
• Demonstrated effective identification of Suzhong, Duroc, and their hybrid pigs using the developed method.
• The new method proved more powerful than standalone SNP or microsatellite approaches.

Conclusions:

• Multiallelic fragments incorporating multiple SNPs offer a superior tool for pig identification.
• This method significantly enhances the reliability of meat traceability in pigs.
• The developed genetic approach represents a substantial advancement over existing identification techniques.