Publications by authors named "A A Sermyagin"

Article Synopsis
  • A genome-wide association study (GWAS) was conducted on a rooster population to identify single nucleotide polymorphisms (SNPs) and candidate genes linked to growth and meat productivity traits.
  • The study involved crossing two chicken breeds with different growth rates, using advanced genotyping methods, which resulted in the analysis of over 54,000 SNPs.
  • The research identified significant SNPs associated with body weight and meat quality traits, suggesting that these can be used as genetic markers to enhance broiler production and breeding efforts.
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The search for SNPs and candidate genes that determine the manifestation of major selected traits is one crucial objective for genomic selection aimed at increasing poultry production efficiency. Here, we report a genome-wide association study (GWAS) for traits characterizing meat performance in the domestic quail. A total of 146 males from an F reference population resulting from crossing a fast (Japanese) and a slow (Texas White) growing breed were examined.

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This study is first to perform a genome-wide association study (GWAS) to investigate the milk quality traits in Karachai goats. The objective of the study was to identify candidate genes associated with milk composition traits based on the identification and subsequent analysis of all possible SNPs, both genome-wide (high-confidence) and suggestive (subthreshold significance). To estimate the milk components, 22 traits were determined, including several types of fatty acids.

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Goats with diverse economic phenotypic traits play an important role in animal husbandry. However, the genetic mechanisms underlying complex phenotypic traits are unclear in goats. Genomic studies of variations provided a lens to identify functional genes.

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The objective of this study was to identify the SNPs and candidate genes related to body weight and seven body conformation traits at the age of 8 months in the Russian aboriginal Karachai goats (n = 269) by conducting genome-wide association studies (GWAS), using genotypes generated by Goat SNP BeadChip (Illumina Inc., USA). We identified 241 SNPs, which were significantly associated with the studied traits, including 47 genome-wide SNPs (p < 10−5) and 194 suggestive SNPs (p < 10−4), distributed among all goat autosomes except for autosome 23.

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