Abstract

Copy number variation (CNV) is a major driving factor for genetic variation and phenotypic diversity in animals. To detect CNVs and understand genetic components underlying stress related traits, we performed whole genome re-sequencing of pooled DNA samples of 20 birds each from High Stress (HS) and Low Stress (LS) Japanese quail lines using Illumina HiSeq 2×150 bp paired end method. Sequencing data were aligned to the quail genome and CNVnator was used to detect CNVs in the aligned data sets. The depth of coverage for the data reached to 41.4x and 42.6x for HS and LS birds, respectively. We identified 262 and 168 CNV regions affecting 1.6 and 1.9% of the reference genome that completely overlapped 454 and 493 unique genes in HS and LS birds, respectively. Ingenuity pathway analysis showed that the CNV genes were significantly enriched to phospholipase C signaling, neuregulin signaling, reelin signaling in neurons, endocrine and nervous development, humoral immune response, and carbohydrate and amino acid metabolisms in HS birds, whereas CNV genes in LS birds were enriched in cell-mediated immune response, and protein and lipid metabolisms. These findings suggest CNV genes identified in HS and LS birds could be candidate markers responsible for stress responses in birds.

Highlights

  • Understanding the evolutionary process that leads to divergence in animals requires study of their genetic variation

  • Of those, ~85 and ~84 million reads were mapped to the reference genome (NCBI/Coturnix japonicia) and their respective depth of coverage reached to ~41x and ~42x for High Stress (HS) and Low Stress (LS) (Table 2)

  • We chose CNVnator tool because it works based on read-depth approach with a concept that the depth of coverage of a genome is positively correlated with copy number of that region [38]

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Summary

Introduction

Understanding the evolutionary process that leads to divergence in animals requires study of their genetic variation. The deletion or duplication of a certain fragment of DNA causes change in copy number variation (CNV) of genome [2]. In this study we have performed CNV analysis in whole genome re-sequenced data of high and low stress lines of Japanese quail with a specific focus to identify full length genes within CNV regions (CNVRs).

Results
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