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Ovis aries

ABSTRACT: US Sheep Genome Sequencing to identify color variation

PROVIDER: PRJNA480684 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR11638335_1.fastq.gz	Fastqsanger.gz
	SRR11638335_2.fastq.gz	Fastqsanger.gz
	SRR11638336_1.fastq.gz	Fastqsanger.gz
	SRR11638336_2.fastq.gz	Fastqsanger.gz
	SRR11638337_1.fastq.gz	Fastqsanger.gz

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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.

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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.

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Project description:Reproduction, as a physiologically complex process, can significantly affect the development of the sheep industry. However, a lack of overall understanding to sheep fecundity has long blocked the progress in sheep breeding and husbandry. Herein, in present study, we aimed to identify differentially expressed proteins (DEPs) from hypothalamus in sheep without FecB mutation in two comparison groups: polytocous (PF) versus (vs.) monotocous (MF) sheep at follicular phase and polytocous (PL) vs. monotocous (ML) sheep at luteal phase,expecting to provide an alternative method to identify DEPs associated with sheep prolificacy from the hypothalamus.

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Project description:Here, we analyzed and identified the miRNA expression profile of three different intestinal tissues (i.e., duodenum, cecum, and colon) of sheep (Ovis aries) using high-throughput sequencing and bioinformatic methods. In total, 128 known miRNAs were identified, 526 novel miRNAs were predicted, and 202 differentially expressed miRNAs were found between the different tissues. Additionally, 4,422 candidate target genes were predicted, and 185 non-redundant GO annotation terms were identified using enrichment analysis. A total of 529 target genes were found to participate in 37 KEGG biological pathways, and 270 of these genes were significantly enriched in the metabolism category.

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