Abstract
BackgroundThe chicken (Gallus gallus) is an important model organism that bridges the evolutionary gap between mammals and other vertebrates. Copy number variations (CNVs) are a form of genomic structural variation widely distributed in the genome. CNV analysis has recently gained greater attention and momentum, as the identification of CNVs can contribute to a better understanding of traits important to both humans and other animals. To detect chicken CNVs, we genotyped 475 animals derived from two broiler chicken lines divergently selected for abdominal fat content using chicken 60 K SNP array, which is a high-throughput method widely used in chicken genomics studies.ResultsUsing PennCNV algorithm, we detected 438 and 291 CNVs in the lean and fat lines, respectively, corresponding to 271 and 188 CNV regions (CNVRs), which were obtained by merging overlapping CNVs. Out of these CNVRs, 99% were confirmed also by the CNVPartition program. These CNVRs covered 40.26 and 30.60 Mb of the chicken genome in the lean and fat lines, respectively. Moreover, CNVRs included 176 loss, 68 gain and 27 both (i.e. loss and gain within the same region) events in the lean line, and 143 loss, 25 gain and 20 both events in the fat line. Ten CNVRs were chosen for the validation experiment using qPCR method, and all of them were confirmed in at least one qPCR assay. We found a total of 886 genes located within these CNVRs, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses showed they could play various roles in a number of biological processes. Integrating the results of CNVRs, known quantitative trait loci (QTL) and selective sweeps for abdominal fat content suggested that some genes (including SLC9A3, GNAL, SPOCK3, ANXA10, HELIOS, MYLK, CCDC14, SPAG9, SOX5, VSNL1, SMC6, GEN1, MSGN1 and ZPAX) may be important for abdominal fat deposition in the chicken.ConclusionsOur study provided a genome-wide CNVR map of the chicken genome, thereby contributing to our understanding of genomic structural variations and their potential roles in abdominal fat content in the chicken.Electronic supplementary materialThe online version of this article (doi:10.1186/1471-2164-15-517) contains supplementary material, which is available to authorized users.
Highlights
The chicken (Gallus gallus) is an important model organism that bridges the evolutionary gap between mammals and other vertebrates
Our study provided a comprehensive map of Copy number variation (CNV), which is helpful in understanding genomic variation in the chicken genome, validating CNVs detected in previous studies, and providing preliminary data for investigating the association between CNVs and various phenotypes of economical importance, e.g. abdominal fat content
We used two lines divergently selected for abdominal fat content to detect CNVs in the chicken, and found the lean line had more CNVs than the fat line (438 vs 291)
Summary
The chicken (Gallus gallus) is an important model organism that bridges the evolutionary gap between mammals and other vertebrates. Copy number variations (CNVs) are a form of genomic structural variation, defined by DNA segments ranging from kilobases (kb) to megabses (Mb) in size, exhibiting differences in copy numbers when comparing two or more genomes [3,4]. This type of variation includes submicroscopic insertions, deletions and segmental duplications, as well as inversions and translocations [4,5,6]. PennCNV distinguishes itself from other algorithms by incorporating multiple information sources (allele frequency, signal intensity, allelic intensity ratio, and distances between SNPs), and by fitting regression models with GC content, it can overcome the issue of “genomic waves” [17,18]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
