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Identification of SNPs Associated with Stress Response Traits within High Stress and Low Stress Lines of Japanese Quail. | LitMetric

AI Article Synopsis

  • - Mitigating stress in poultry is crucial because chronic stress negatively impacts production efficiency, so selective breeding for stress response is a potential solution
  • - The study focused on understanding genetic differences in stress responses of Japanese quail by mapping Single Nucleotide Polymorphisms (SNPs) using advanced genomic sequencing technology
  • - Analysis revealed over 6 million SNPs, with some linked to genes involved in immune responses and neurological signaling, suggesting these genetic variations may influence the quail's stress-related traits

Article Abstract

Mitigation of stress is of great importance in poultry production, as chronic stress can affect the efficiency of production traits. Selective breeding with a focus on stress responses can be used to combat the effects of stress. To better understand the genetic mechanisms driving differences in stress responses of a selectively bred population of Japanese quail, we performed genomic resequencing on 24 birds from High Stress (HS) and Low Stress (LS) lines of Japanese quail using Illumina HiSeq 2 × 150 bp paired end read technology in order to analyze Single Nucleotide Polymorphisms (SNPs) within the genome of each line. SNPs are common mutations that can lead to genotypic and phenotypic variations in animals. Following alignment of the sequencing data to the quail genome, 6,364,907 SNPs were found across both lines of quail. 10,364 of these SNPs occurred in coding regions, from which 2886 unique, non-synonymous SNPs with a SNP% ≥ 0.90 and a read depth ≥ 10 were identified. Using Ingenuity Pathway Analysis, we identified genes affected by SNPs in pathways tied to immune responses, DNA repair, and neurological signaling. Our findings support the idea that the SNPs found within HS and LS lines of quail could direct the observed changes in phenotype.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000459PMC
http://dx.doi.org/10.3390/genes12030405DOI Listing

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