Identification of copy number variation using aCGH in Chinese chicken breeds
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ABSTRACT:
ORGANISM(S): Gallus gallus
PROVIDER: GSE49889 | GEO | 2014/10/10
SECONDARY ACCESSION(S): PRJNA215249
REPOSITORIES: GEO
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Project description:CNV plays an important role in the chicken genomic studies,it is imperative need to investigate the extent and pattern of CNVs using array comparative genomic hybridization (aCGH) in chinese chicken breeds for future studies associating phenotype to genome architecture. we describe systematic and genome-wide analysis of CNVs loci in five Chinese indigenous chicken breeds were evaluated by aCGH. 5 Chinese native chicken were detected using ANKA broiler as reference.
2014-10-10 | E-GEOD-49889 | biostudies-arrayexpress
Project description:Since CNVs play a vital role in genomic studies, it is an imperative need to develop a comprehensive, more accurate and higher resolution porcine CNV map with practical significance in follow-up CNV functional analyses To detect CNV of pigs, we performed high density aCGH data of diverse pig breeds in the framework of the pig draft genome sequence (Sscrofa10.2) 9 Chinese indigenous pig, one Chinese wild boar and 2 commercial pigs were detected using one pig of Duroc as reference. These 12 animals include 1 wild pig, 2 pigs each from Yorkshire and Landrace as the representatives of modern commercial breeds and 9 unrelated individuals selected from 6 Chinese indigenous breeds (2- Tibetan pig, 2- Diannan small-ear pig, 2-Meishan pig, 1- Min pig, 1-Daweizi pig, and 1-Rongchang pig).
2015-06-29 | E-GEOD-49299 | biostudies-arrayexpress
Project description:Since CNVs play a vital role in genomic studies, it is an imperative need to develop a comprehensive, more accurate and higher resolution porcine CNV map with practical significance in follow-up CNV functional analyses To detect CNV of pigs, we performed high density aCGH data of diverse pig breeds in the framework of the pig draft genome sequence (Sscrofa10.2) 9 Chinese indigenous pig, 2 commercial pigs, 1 wild pig were detected using one pig of Duroc as reference.
2013-05-15 | E-GEOD-46847 | biostudies-arrayexpress
Project description:Since CNVs play a vital role in genomic studies, it is an imperative need to develop a comprehensive, more accurate and higher resolution porcine CNV map with practical significance in follow-up CNV functional analyses To detect CNV of pigs, we performed high density aCGH data of diverse pig breeds in the framework of the pig draft genome sequence (Sscrofa10.2)
2013-05-15 | GSE46847 | GEO
Project description:Since CNVs play a vital role in genomic studies, it is an imperative need to develop a comprehensive, more accurate and higher resolution porcine CNV map with practical significance in follow-up CNV functional analyses To detect CNV of pigs, we performed high density aCGH data of diverse pig breeds in the framework of the pig draft genome sequence (Sscrofa10.2)
2015-06-29 | GSE49299 | GEO
Project description:Copy number variations (CNVs) have been demonstrated as crucial substrates for evolution, adaptation and breed formation. Chinese indigenous cattle breeds exhibit a broad geographical distribution and diverse environmental adaptability. Here, we analyzed the population structure and adaptation to high altitude of Chinese indigenous cattle based on genome-wide CNVs derived from the high-density BovineHD SNP array. We successfully detected the genome-wide CNVs of 318 individuals from 24 Chinese indigenous cattle breeds and 37 yaks as outgroups. A total of 5,818 autosomal CNV regions (683 bp - 4,477,860 bp in size), covering ~14.34% of the bovine genome (UMD3.1), were identified, showing abundant CNV resources. Neighbor-joining clustering, principal component analysis (PCA), and population admixture analysis based on these CNVs support that most Chinese cattle breeds are hybrids of Bos taurus taurus (hereinafter to be referred as Bos taurus) and Bos taurus indicus (Bos indicus). The distribution patterns of the CNVs could to some extent be related to the geographical backgrounds of the habitat of the breeds, and admixture among cattle breeds from different districts. We analyzed the selective signatures of CNVs positively involved in high-altitude adaptation using pairwise Fst analysis within breeds with a strong Bos taurus background (taurine-type breeds) and within Bos taurus×Bos indicus hybrids, respectively. CNV-overlapping genes with strong selection signatures (at top 0.5% of Fst value), including LETM1 (Fst = 0.490), TXNRD2 (Fst=0.440) and STUB1 (Fst=0.420) within taurine-type breeds, and NOXA1 (Fst = 0.233), RUVBL1 (Fst=0.222) and SLC4A3 (Fst=0.154) within hybrids, were potentially involved in the adaptation to hypoxia. Thus, we provide a new profile of population structure from the CNV aspects of Chinese indigenous cattle and new insights into high-altitude adaptation in cattle.
2020-02-21 | GSE142218 | GEO
Project description:Here we describe a genome-wide analysis of copy number variations (CNVs) in Chinese domestic cattle by using array comparative genomic hybridization (array CGH) and quantitative PCR (qPCR). We conducted array CGH analysis on 30 male cattle individuals, animals from consisting of 12 breeds of Bos taurus/Bos indicus, 1 Bos grunniens and and two ones of Bubalus bubalis breeds for with beef, and/or dairy or dual purpose. We identified over 470 candidate CNV regions (CNVRs) in Bos B. taurus/B. indicus; 118 candidate CNV regions (CNVRs) in B. grunniens, 139 CNVRs in B. bubalis. Furthermore, based on the Y haplotypes of B. taurus/ B. indicus, Wwe also identified 69, 337, and 251 candidate CNV regions (CNVRs) in the sub-groups of Y1, Y2 and Y3 haplotypes.
2014-12-30 | GSE47086 | GEO
Project description:A CNV map in pigs could facilitate the identification of chromosomal regions that segregate for important economic and disease phenotypes. The goal of this study was to identify CNV regions (CNVRs) in pigs based on a custom array comparative genome hybridization (aCGH). We carried out a custom-made array comparative genome hybridization (aCGH) experiment in order to identify copy number variations (CNVs) in the pig genome analysing animals of diverse pig breeds (White Duroc, Yangxin, Erhualian, Tongcheng, Large White, Pietrain, Landrace and Chinese new pig line DIV ) using a tiling oligonucleotide array with ~720,000 probes designed on the pig genome (Sus scrofa genome version 9.0).
2013-08-09 | GSE41488 | GEO
Project description:The conservation and development of chicken has considerably affected human activities, but the admixture history of chicken breeds has so far been poorly demonstrated especially for Chinese indigenous breeds. Using genotypes from 580961 single nucleotide polymorphism markers scored in 1201 animals, we evaluate the genetic diversity (heterozygosity and proportion of polymorphic markers), Linkage disequilibrium (LD) decay, population structure (principal component analysis and neighbor-joining tree), genetic differentiation (FST and genetic distance) and migration events (Treemix and f-statistics) of eight domesticated chicken breeds. All population analytical methods reveal patterns of hybridization which occurred after divergence in Tibetan chicken. We argue that chicken migration and admixture followed by trade have been important forces in shaping modern Chinese chicken genomic variation. Moreover, isolation by distance may play critical role in the shaping genomic variation within Eurasia continent chicken breeds.
2019-10-07 | GSE127968 | GEO
Project description:Background: Detecting genetic variation is a critical step in elucidating the molecular mechanisms underlying phenotypic diversity. Until recently, such detection has mostly focused on single nucleotide polymorphisms (SNPs) because of the ease in screening complete genomes. Another type of variant, copy number variation (CNV), is emerging as a significant contributor to phenotypic variation in many species. Here we describe a genome-wide CNV study using array comparative genomic hybridization (aCGH) in a wide variety of chicken breeds. Results: We identified 3,154 CNVs, grouped into 1,556 CNV regions (CNVRs). Thirty percent of the CNVs were detected in at least 2 individuals. The average size of the CNVs detected was 46.3 kb with the largest CNV, located on GGAZ, being 4.3 Mb. Approximately 75% of the CNVs are copy number losses relatively to the Red Jungle Fowl reference genome. The genome coverage of CNVRs in this study is 60 Mb, which represents almost 5.4% of the chicken genome. In particular large gene families such as the keratin gene family and the MHC show extensive CNV. Conclusions: A relative large group of the CNVs are line-specific, several of which were previously shown to be related to the causative mutation for a number of phenotypic variants. The chance that inter-specific CNVs fall into CNVRs detected in chicken is related to the evolutionary distance between the species. Our results provide a valuable resource for the study of genetic and phenotypic variation in this phenotypically diverse species. In total 62 chicken DNA samples (derived from 15 lines) were analyzed against the chicken reference animal UCD001 (the same induvidual that was used to generate the chicken genome reference sequence (ICGSC, 2004)
2013-08-21 | E-GEOD-47623 | biostudies-arrayexpress