Pig identification and meat traceability by multiallelic amplification fragments with multiple single nucleotide polymorphisms
| Autor: | X.X. Wang, G.D. Xing, H.L. Wang, Y.N. Hu, F. Xing, Q. Ding, Yixuan Xu, H.L. Huan |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Identification methods endocrine system microsatellite Meat Traceability Swine Single-nucleotide polymorphism Computational biology Biology SF1-1100 Polymorphism Single Nucleotide 03 medical and health sciences single nucleotide polymorphism Animals pig identification 0402 animal and dairy science 04 agricultural and veterinary sciences DNA 040201 dairy & animal science meat traceability Animal culture 030104 developmental biology amplification fragment Microsatellite Animal Science and Zoology Identification (biology) Primer (molecular biology) Microsatellite Repeats |
| Zdroj: | Animal, Vol 12, Iss 9, Pp 1785-1791 (2018) |
| ISSN: | 1751-732X |
| Popis: | Compared with conventional identification methods, DNA-based genetic approaches such as single nucleotide polymorphisms (SNPs) and satellites are much more reliable for pig identification and meat traceability. In this study, multiallelic amplification fragments with multiple SNPs, incorporating the advantages of both SNPs and microsatellites, were explored for the first time for pig identification and meat traceability. Primer pairs for multiallelic fragments and their optimal SNPs were successfully selected and used for identification of individuals from Suzhong and Duroc populations. Meanwhile, the combined panel of the above mentioned primer pairs together with their optimal SNPs for Suzhong and/or Duroc pigs were validated for identification of the hybrids (Suzhong×Duroc). Therefore, we have successfully selected multiallelic amplification fragments with multiple SNPs to identify pigs and their meat samples from Suzhong, Duroc or their hybrids. Our study demonstrates that our method is more powerful for pig identification or meat traceability than SNPs or microsatellites. |
| Databáze: | OpenAIRE |
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