Similar Datasets
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:The intramuscular fat (IMF) content of different beef cattle breeds varies greatly, which plays an important role in taste and nutritional value. However, the molecular mechanism of fat metabolism and deposition in beef cattle is still not very clear. In this study, the meat quality traits of Angus cattle and Chinese Simmental cattle were compared, the transcriptome of the longissimus dorsi muscle (LD) between Angus cattle and Chinese Simmental cattle was then analyzed to identify key genes related to fat metabolism and adipogenesis by high-throughput RNA-seq technology. In the current study conducted a comprehensive analysis on the transcriptome of the longissimus dorsi muscle (LD) of Angus and Simmental cattle, and identified differentially expressed genes related to lipid metabolism，which may have a great impact on on the formation of IMF.
2022-04-30 | GSE171876 | GEO
Project description:The development of massively parallel sequencing technologies enables the sequencing of total cDNA to identify unigene expression and to discover novel regions of transcription. Here, we report the first use of RNA-Seq to find the digital gene expression profiles (DGEs) associated with the growth and development of muscle in both Chinese Luxi and Angus beef cattle. More than 9,243,921 clean reads were found in samples of muscle tissue. We found 232 DGEs between Luxi cattle and Angus cattle (FDRM-bM-^IM-$0.001 AND |log2Ratio|M-bM-^IM-%1). Among the DGEs, we determined that 147 genes were down-regulated and 85 genes were up-regulated. GO and Pathway analysis were performed to analyze the biological role of the DGEs and determine their contribution to the differences seen in muscle growth and development between local Chinese Luxi cattle and the introduced Angus cattle. This article suggests that RNA-Seq is a useful tool for predicting differences in gene expression between Luxi and Angus beef cattle; moreover, our result provides unprecedented resolution of mRNAs that are expressed across the two breeds. Three Luxi and three Angus cattle that were eighteen months of age were generated by RNA-Seq
2014-11-14 | E-GEOD-57327 | biostudies-arrayexpress
Project description:Comparative transcriptome profile of genes differentially expressed in longissimus dorsi muscles between Japanese black (Wagyu) and Chinese Red Steppes cattle by RNA-seq
2020-11-28 | GSE161967 | GEO
Project description:The development of massively parallel sequencing technologies enables the sequencing of total cDNA to identify unigene expression and to discover novel regions of transcription. Here, we report the first use of RNA-Seq to find the digital gene expression profiles (DGEs) associated with the growth and development of muscle in both Chinese Luxi and Angus beef cattle. More than 9,243,921 clean reads were found in samples of muscle tissue. We found 232 DGEs between Luxi cattle and Angus cattle (FDR≤0.001 AND |log2Ratio|≥1). Among the DGEs, we determined that 147 genes were down-regulated and 85 genes were up-regulated. GO and Pathway analysis were performed to analyze the biological role of the DGEs and determine their contribution to the differences seen in muscle growth and development between local Chinese Luxi cattle and the introduced Angus cattle. This article suggests that RNA-Seq is a useful tool for predicting differences in gene expression between Luxi and Angus beef cattle; moreover, our result provides unprecedented resolution of mRNAs that are expressed across the two breeds.
2014-11-14 | GSE57327 | GEO
Project description:In this study, the profile of mastitis-induced differential gene expression in the mammary tissue of Chinese Holstein cattle was investigated by Gene-Chip microarray and bioinformatics
2014-10-30 | GSE62845 | GEO
Project description:In this study, the profile of mastitis-induced differential gene expression in the mammary tissue of Chinese Holstein cattle was investigated by Gene-Chip microarray and bioinformatics Our experiments included RNA samples was isolated from the mammary tissue of adult Chinese Holstein cows during late lactation with (n=3) and without (n=3) mastitis
2014-10-30 | E-GEOD-62845 | biostudies-arrayexpress