Project description:We sequenced the miRNAs in the liver tissues of goats to further enrich and elucidate the miRNA expression profile in their physiological cycle. The liver tissues were procured at 5-time points from the Laiwu black goats of 1 day, 2 weeks, 4 weeks, 8 weeks, and 12 weeks of age, respectively with 5 goats per time point, for a total of 25 goats. This study identified 1255 miRNAs.
2021-10-15 | GSE185667 | GEO
Project description:transcriptome of dazu black goats
| PRJNA1101717 | ENA
Project description:Genome sequence of goats (Dazu black goats)
Project description:Laiwu black goat kid liver mRNA expression profile were sequenced with novaSeq 6000. The liver tissues were procured at 5-time points from the Laiwu black goats of 1 day, 2 weeks, 4 weeks, 8 weeks, and 12 weeks of age, respectively with 5 goats per time point, for a total of 25 goats.
2022-01-28 | GSE194190 | GEO
Project description:67 SNPs of Dazu Black goat
| PRJEB33934 | ENA
Project description:Skin transcriptome of 33 Dazu black goats
Project description:We deep sequenced and analyzed circRNA using deep RNA sequencing (RNA-seq) in pre-ovulatory follicle samples of Macheng black goats and Boer goats. We analyzed the RNA-seq data with 301 million reads and 288 million reads, and reveal the expression profiles of circRNAs and predicted 13,950 circRNAs. 827 circRNA host genes, mostly related to transferase activity and metabolic process. Twenty-four circRNAs were upregulated and 13 were downregulated in the pre-ovulatory follicles of the Boer group compared to their expression in the Macheng group.
2020-07-03 | GSE100773 | GEO
Project description:Dazu black and Hechuan white goat
Project description:we compared the skin transcriptomes of the black- and white-coated region from the Boer and Macheng Black crossbred goat with black head and white body using the Illumina RNA-Seq method. Six cDNA libraries derived from skin samples of the white coat region (n = 3) and black coat region (n = 3) were constructed from three full-sib goats. On average, we obtained approximately 76.5 and 73.5 million reads for each skin sample of black coat and white coat, respectively, of which 75.39% and 76.05% reads were covered in the genome database. Our study provides insight into the transcriptional regulation of two distinct coat color that might serve as a key resource for understanding coat color pigmentation of goat.
Project description:Alpine goat phenotypes for quality components have been routinely recorded for many years and deposited in the Council on Dairy Cattle Breeding (CDCB) repository. The data collected were used to conduct an exploratory genome-wide association study (GWAS) from 72 female Alpine goats originating from locations throughout the U.S. Genotypes were identified with the Illumina Goat 50K single nucleotide polymorphisms (SNP) Beadchip. The analysis used a polygenic model where the dropping criteria was the Call Rate ≥ 0.95. The initial dataset was composed of ~ 60,000 rows of SNPs, 21 columns of phenotypic traits and composed of 53,384 scaffolds containing other informative data points used for genomic predictive power. Phenotypic association with the 50KBeadchip revealed 26,074 reads of candidate genes. These candidate genes segregated as separate novel SNPs and were identified as statistically significant regions for genome and chromosome level trait associations. Candidate genes associated differently for each of the following phenotypic traits: test day milk yield (13,469 candidate genes), test day protein yield (25,690 candidate genes), test day fat yield (25,690 candidate genes), percentage protein (25,690 candidate genes), percentage fat (25,690 candidate genes), and percentage lactose content (25,690 candidate genes). The outcome of this study supports elucidation of novel genes that are important for livestock species in association to key phenotypic traits. Validation towards the development of marker-based selection that provide precision breeding methods will thereby increase breeding value. Specific aims: 1) Improve on contributions to the phenotype repository, the Council on Dairy Cattle Breeding (CDCB) for milk quality traits that are economically important for goat production while developing a corresponding DNA repository for each of the animals with significant genotype-phenotype associations. 2) Develop genomic prediction tools and provide data for a better database for tools to predict phenotypic traits by initially using the high density Goat50KSNP BeadChip for the selection of more specific SNPs associated with select signatures (genes) for phenotypic traits in American Alpine goats. 3) To establish whether a low number of goat subjects (< 300 goats) will provide statistically significant (p < 0.05) predictive capabilities for desired breeding traits in American Alpine dairy goats.