Analysis of structural diversity in wolf-like canids reveals post-domestication variants
Ontology highlight
ABSTRACT:
ORGANISM(S): Canis rufus Canis latrans Canis lupus familiaris Canis aureus Canis lupus
PROVIDER: GSE58195 | GEO | 2014/06/05
SECONDARY ACCESSION(S): PRJNA251588
REPOSITORIES: GEO
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Project description:This study uses a custom made Nimblegen aCGH chip that targeted all segmental duplications in the canine genome to identify associated CNVs. A total of 23 hybridizations were performed in a panel of diverse dogs and a single wolf. This study focuses on the use a custom made Nimblegen aCGH chip to genotype 1,611 dog CNVs in 23 wolf-like canids (4 purebred dogs, one dingo, 15 gray wolves, one red wolf, one coyote and one golden jackal) to identify CNVs that may have arisen after domestication
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Project description:This study centered on using a custom made Nimblegen aCGH chip that targeted all segmental duplications in the canine genome to identify associated CNVs. A total of 19 hybridizations were performed in a panel of diverse dogs and a single wolf.
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Project description:This study used two different NimbleGen platforms to identify canine CNVs. The first identifies genome-wide CNVs while the second genotypes all known canine CNVs in a large panel of dogs from multiple breeds. The genome-wide microarray used was designed by NimbleGen. The genotyping chip was created by tiling all available probes to all known CNVs identified here and in previous studies.
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Project description:DNA structural variation (SV) comprises a major portion of genetic diversity, but its biological impact is unclear. We propose that the genetic history and extraordinary phenotypic variation of dogs make them an ideal mammal in which to study the effects of SV on biology and disease. The hundreds of existing dog breeds were created by selection of extreme morphological and behavioral traits. And along with those traits, each breed carries increased risk for different diseases. We used array CGH to create the first map of DNA copy number variation (CNV) or SV in dogs. The extent of this variation, and some of the gene classes affected, are similar to those of mice and humans. Most canine CNVs affect genes, including disease and candidate disease genes, and are thus likely to be functional. We identified many CNVs that may be breed or breed class specific. Cluster analysis of CNV regions showed that dog breeds tend to group according to breed classes. Our combined findings suggest many CNVs are (1) in linkage disequilibrium with flanking sequence, and (2) associated with breed specific traits. We discuss how a catalog of structural variation in dogs will accelerate the identification of the genetic basis of canine traits and diseases, beginning with the use of whole genome association and candidate CNV/gene approaches. Chen WK, Swartz JD, Rush LJ, Alvarez, CE. Mapping DNA structural variation in dogs. Genome Res. 2009. 19: 500 509 PMID: 19015322 Array comparitive genomic hybridization analysis of structural variation in 9 dogs, and 1 lymphoma cell line.
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Project description:Duplicated sequences are the important source of gene innovation and structural variation within mammalian genomes. Using a read depth approach based on next-generation sequencing, we performed a genome-wide analysis of segmental duplications (SDs) and associated copy number variants (CNVs) in water buffalo (Bubalus bubalis). Aligning to the UMD3.1 cattle genome, we estimated 44.6 Mb (~1.73% of cattle genome) segmental duplications in the autosomes and X chromosome using the sequencing reads of Olimpia (the sequenced water buffalo). 70.3% (70/101) duplications were experimentally validated using the fluorescent in situ hybridization. We also detected a total of 1344 CNV regions across 14 additional water buffalos as well as Olimpia, amounting to 59.8Mb of variable sequence or 2.2% of the cattle genome. The CNV regions overlap 1245 genes and are significantly enriched for specific biological functions such as immune response, oxygen transport, sensory system and signalling transduction. Additionally, we performed array Comparative Genomic Hybridization (aCGH) experiments using the 14 water buffalos as test samples and Olimpia as the reference. Using a linear regression model, significant and high Pearson correlations (r = 0.781) were observed between the digital aCGH values and aCGH probe log2 ratios. We further designed Quantitative PCR assays to confirm CNV regions within or near annotated genes and found 74.2% agreement with our CNV predictions.
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