Project description:The sheep (Ovis aries) plays a major socio-economic role in the world. Copy number variations (CNVs) are increasingly recognized as a key and potent source of genetic variation and phenotypic diversity, but little is known about the extent to which CNVs contribute to genetic variation in Chinese sheep breeds. Analyses of CNVs in the genomes of eight sheep breeds were performed using the sheep SNP50 BeadChip genotyping array. A total of 111 CNV regions (CNVRs) were obtained from 160 Chinese sheep breeds. These CNVRs covered 13.75 Mb of the sheep genome sequence. A total of 22 Go terms and 17 candidate genes were obtained from the functional analysis. Ten CNVRs were selected for validation, of which 7 CNVRs were further experimentally confirmed by quantitative PCR. Four candidate genes were selected to confirm the results of the functional analysis. These results provide a resource for furthering understanding of ruminant biology, and for further improving the genetic quality of sheep breeds.
Project description:We have completed the high quality reference genome for domestic sheep (Oar v3.1) and performed a detailed survey of gene expression across different tissues. RNA-seq data of 7 tissue types from the reference female Texel and skin tissue from a Gansu alpine fine wool sheep were sequenced.
Project description:Whole genome copy number variation analysis to detect genomic regions for resistance to Haemonchus contortus in Sheep (PRJCA046372)
Project description:We have completed the high quality reference genome for domestic sheep (Oar v3.1) and performed a detailed survey of gene expression across different tissues. RNA-seq data of 7 tissue types from the reference female Texel and skin tissue from a Gansu alpine fine wool sheep were sequenced. Here is the part of the RNA-seq data sequenced in BGI, including 7 tissue types from the reference female Texel and skin type from a Gansu alpine fine wool sheep.
Project description:We have completed the high quality reference genome for domestic sheep (Oar v3.1). Early-stage Illumina GA sequence platform sequenced less reads in high GC content regions than in other regions. To read through higher GC content regions, we generated 2 Gb MeDIP-seq data for filling gaps in sheep reference genome assembly.