Development of a 21‐plex <scp>STR</scp> typing system for the identification of individuals and parentage testing in pig

Precise identification of individuals and accurate parentage verification is critical to livestock breeding programs, facilitating efficient genetic improvement and management practices. Short tandem repeat (STR)-based genotyping in pigs, current genotyping methods are often limited by inadequate resolution, suboptimal throughput and susceptibility to cross-species amplification. This study addresses these limitations by developing and validating a robust, species-specific 21-plex STR typing system. Integrating 13 core loci recommended by International Society for Animal Genetics/Food and Agriculture Organization with eight additional polymorphic markers identified from high-throughput sequencing, the multiplex assay was optimized for simultaneous amplification using fluorescence-labeled primers and capillary electrophoresis. Comprehensive primer optimization and thermal cycling adjustments established uniform amplification conditions, achieving balanced peak heights and distinct genotyping profiles with a sensitivity threshold of 0.5 ng DNA input per reaction. Species-specificity testing demonstrated no cross-reactivity with sheep, cattle and dogs and only weak amplification for the IGF1 locus in cats without compromising genotyping accuracy. Validation using diverse pig populations confirmed the assay's high discriminatory power and reproducibility. The resulting assay is technically rigorous, scalable and cost-effective, making it suitable for broad application in pig genetic improvement programs, pedigree verification, meat traceability and germplasm conservation.

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Publication Details

Journal
Animal Genetics
Published
2026-02-01
DOI
https://doi.org/10.1002/age.70072
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
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article

Development of a 21‐plex STR typing system for the identification of individuals and parentage testing in pig

G Liu, Xudong Zhang, Shang‐Tong Li, Ayoola Ebenezer Afe et al.
Animal Genetics
Identification and Quantification in Food
article

Development of a 21‐plex STR typing system for the identification of individuals and parentage testing in pig

G Liu, Xudong Zhang, Shang‐Tong Li, Ayoola Ebenezer Afe, Shaojie Wang, Kui Li, Rong Zhou, Zhi‐qiang Chen, Xiao‐cui Duan
article en

Abstract

Precise identification of individuals and accurate parentage verification is critical to livestock breeding programs, facilitating efficient genetic improvement and management practices. Short tandem repeat (STR)-based genotyping in pigs, current genotyping methods are often limited by inadequate resolution, suboptimal throughput and susceptibility to cross-species amplification. This study addresses these limitations by developing and validating a robust, species-specific 21-plex STR typing system. Integrating 13 core loci recommended by International Society for Animal Genetics/Food and Agriculture Organization with eight additional polymorphic markers identified from high-throughput sequencing, the multiplex assay was optimized for simultaneous amplification using fluorescence-labeled primers and capillary electrophoresis. Comprehensive primer optimization and thermal cycling adjustments established uniform amplification conditions, achieving balanced peak heights and distinct genotyping profiles with a sensitivity threshold of 0.5 ng DNA input per reaction. Species-specificity testing demonstrated no cross-reactivity with sheep, cattle and dogs and only weak amplification for the IGF1 locus in cats without compromising genotyping accuracy. Validation using diverse pig populations confirmed the assay's high discriminatory power and reproducibility. The resulting assay is technically rigorous, scalable and cost-effective, making it suitable for broad application in pig genetic improvement programs, pedigree verification, meat traceability and germplasm conservation.

Animal GeneticsVol. 57(1)
Beijing VDJBio (China) (CN), Agricultural Genomics Institute at Shenzhen (CN), National Animal Husbandry Service (CN), Chinese Academy of Agricultural Sciences (CN), Institute of Animal Sciences (CN), Henan Agricultural University (CN)
Openalex Percentile: Top 67%
Identification and Quantification in Food
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