Project description:DNA methylation patterns reflect the status of individual tissues, such as cell composition, age, and the local environment in mammals. This experiment addressed the DNA methylation landscape in the dog genome across three breeds: Shiba, Dachshund (Miniature), and Poodle (Toy). A comprehensive profile of whole-genome DNA methylation from the whole blood of three dog breeds was generated using whole-genome bisulfite sequencing.
Project description:The inherent diversity of canines is closely intertwined with the unique color patterns of each dog population. These variations in color patterns are believed to have originated through mutations and selective breeding practices that occurred during and after the domestication of dogs from wolves. To address the significant gaps that persist in comprehending the evolutionary processes that underlie the development of these patterns, we generated and analyzed deep-sequenced genomes of 113 Korean indigenous Jindo dogs that represent five distinct color patterns to identify the associated mutations in CBD103, ASIP, and MC1R. The degree of linkage disequilibrium and estimated allelic ages consistently indicate that the black-and-tan dogs descend from the first major founding population on Jindo island, compatible with the documented literature. We additionally demonstrate that black-and-tan dogs, in contrast to other color variations within the breed, exhibit a closer genetic affinity to ancient wolves from western Eurasia than those from eastern Eurasia. Lastly, population-specific genetic variants with moderate effects were identified, particularly in loci associated with traits underlying body size and behavioral variations, potentially explaining the observed phenotypic diversity based on coat colors. Overall, comparisons of whole genome sequences of each coat color population diverged from the same breed provided an unprecedented glimpse into the properties of evolutionary processes maintaining variation in Korean Jindo dog populations that were previously inaccessible.
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.
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.
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).
Project description:Genome-wide SNP genotyping array can genotyped SNP highthroughly. It can be used in many aspects, such as phylogeny relationships, genome-wide association studies, copy number identification. 9 Chinese indigenous pig, 4 commercial pigs and 1 wild pig were genotyped by PorcineSNP60 array (Illumina) for exploring the phylogeny relationships among them.
Project description:This study used the NimbleGen dog whole genome CGH 2.1M tiling array to assay copy number variants in the dog genome in multiple breeds and wolf.
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.
Project description:Purpose: The transcriptome profiles were compared among groups of chronic stress exposure and control in two different breeds to identify genes and pathways related to response to chronic stress in the pituitary-adrenal axis. Methods: 6 male adult CFD and 6 Beagles were chosen at random with the similarities in good health, weight and other aspects. Separately, 3 of these two breeds were freely selected for the stress exposure via intermittent electrical stimulation and restraint stress, while the other 3 of these two breeds were non-disposed for normal control.The details for the disposal of dogs were: every morning dogs were restrained and electrical stimulations were exerted with a stable current of 10 mA for 6 s and then with a 6 s interval, lasting for 20 min every day. The duration of disposal was ten days.ll 12 dogs were killed by air embolism in the 11th day. Subsequently, pituitary and adrenal cortex tissues were fast collected and isolated for further high-sequencing. Results: 8 cDNA libraries were constructed for RNA-seq. A number of reads ranging from 53,295,978 to 65,414,932 was obtained in those 8 groups. About 10,000 genes and transcripts were annotated in each group. Besides,A total of 40, 346, 376, 69, 70, 38, 57, and 71 DEGs were detected in the contrasts of BP1_vs_BP2, CFDP1_vs_CFDP2, BP1_vs_CFDP1, BP2_vs_CFDP2, BAC1_vs_BAC2, CFDAC1_vs_CFDAC2, BAC1_vs_CFDAC1, and BAC2_vs_CFDAC2, respectively. Conclusions: Our results can contribute to a more comprehensive understanding about the genetic mechanisms of response to chronic stress in adrenal cortex and pituitary. Adrenal cortex and pituitary mRNA profiles of adult Chinese Field Dog and Beagle under chronic stress exposure and normal control, including BAC1 (Beagle adrenal cortex with disposal), BAC2 (Beagle adrenal cortex with non-disposal), BP1 (Beagle pituitary with disposal), BP2 (Beagle pituitary with non-disposal), CFDAC1 (Chinese Field Dog adrenal cortex with disposal), CFDAC2 (Chinese Field Dog adrenal cortex with non-disposal), CFDP1 (Chinese Field Dog pituitary with disposal), CFDP2 (Chinese Field Dog pituitary with non-disposal), were generated by deep sequencing, using Illumina Genome Analyzer IIx.