Bioinformatic analysis of genomes of commercial breeds of domestic pigs for identification of breed-specific SNPs

Abstract

Determining the purebredity of farm animals in a breeding system is of key importance for the entire livestock industry. Purebred breeding of plant breeds is designed to ensure the production of high-value improving breeding material for commercial livestock breeding. Determination of purebredity of pigs can be carried out using single nucleotide polymorphisms (SNP). The multiplexing technology today has reached a level that makes it possible to characterize tens and hundreds of thousands of polymorphic variants simultaneously for hundreds of animals in one run of the device. For the first time, using bioinformatics methods, an analysis of genome-wide projects was carried out for 264 individuals of the species Sus scrofa located in the Sequence Read Archive (NCBI-SRA). The in silico genotype was determined for 692 SNPs, of which 59 SNPs showed a significant potential for differentiation of four commercial breeds: large white (the most significant SNPs are Chr. 6: g.85845403T> G and Chr.16: g.74053569T> C), duroc (Chr. 4: g.55661608A> G, Chr. 14: g.107689091T> C and Chr. 14: g.107939105T> C), landrace (Chr. 5: g.99925204A> G, Chr. 18: g .40100481A> G and Chr. 18: g.7664624A> G) and pietrain (Chr. 13: g.136017764T> C and Chr.17: g.47595840A> G). For breeds of duroc and pietrain pigs, the accuracy of differentiation was at least 99%, for breeds of large white and landrace pigs - over 80%, however, the sensitivity indicator characterizing the percentage of false positive results of classification was slightly over 65%. Creation of models for molecularand-genetic studies of these breeds will allow for a genetic examination of their purebredity, which will contribute to an increase in their breeding value and preservation of the national gene pool.