Project description:BackgroundGerman Black Pied cattle (DSN) are an endangered dual-purpose breed which was largely replaced by Holstein cattle due to their lower milk yield. DSN cattle are kept as a genetic reserve with a current herd size of around 2500 animals. The ability to track sequence variants specific to DSN could help to support the conservation of DSN's genetic diversity and to provide avenues for genetic improvement.ResultsWhole-genome sequencing data of 304 DSN cattle were used to design a customized DSN200k SNP chip harboring 182,154 variants (173,569 SNPs and 8585 indels) based on ten selection categories. We included variants of interest to DSN such as DSN unique variants and variants from previous association studies in DSN, but also variants of general interest such as variants with predicted consequences of high, moderate, or low impact on the transcripts and SNPs from the Illumina BovineSNP50 BeadChip. Further, the selection of variants based on haplotype blocks ensured that the whole-genome was uniformly covered with an average variant distance of 14.4 kb on autosomes. Using 300 DSN and 162 animals from other cattle breeds including Holstein, endangered local cattle populations, and also a Bos indicus breed, performance of the SNP chip was evaluated. Altogether, 171,978 (94.31%) of the variants were successfully called in at least one of the analyzed breeds. In DSN, the number of successfully called variants was 166,563 (91.44%) while 156,684 (86.02%) were segregating at a minor allele frequency > 1%. The concordance rate between technical replicates was 99.83 ± 0.19%.ConclusionThe DSN200k SNP chip was proved useful for DSN and other Bos taurus as well as one Bos indicus breed. It is suitable for genetic diversity management and marker-assisted selection of DSN animals. Moreover, variants that were segregating in other breeds can be used for the design of breed-specific customized SNP chips. This will be of great value in the application of conservation programs for endangered local populations in the future.
Project description:Black cattle is a new breed of beef cattle developed by combining modern biotechnologies such as somatic cell cloning and conventional breeding methods. To provide new ideas for improving meat quality and generating new breeds of cattle, the important candidate genes affecting fat deposition in two kinds of cattle were identified. Eighteen months Black cattles and Luxi cattles were randomly assigned into two environmental. The longissimus dorsi muscle were collected on Black cattle and Luxi cattle,for analyses including fatty acid determinationrs, high-throughput sequencing metagenomics, qRT-PCR expression profile and western blot.The ratio of unsaturated fatty acids to saturated fatty acids was 1.37:1 and 1.24:1 in the muscle tissues of Black cattle and Luxi cattle, respectively. The results of RNA-Seq analysis revealed 1,415 DEGs(fold change ≥ ± 2, P<0.05) between the longissimus dorsi of Black cattle and yellow cattle. A total of 939 genes were upregulated, and the other 476 genes were downregulated. With GO enrichment analysis, it was found that the identified DEGs were significantly enriched in biological regulation, regulation of the Wnt signaling pathway, negative regulation of the Wnt signaling pathway, cAMP metabolic process, fat cell differentiation, and brown fat cell differentiation, among other functions. Regulation of lipolysis in adipocytes, AMPK signaling pathway, adipocytokine signaling pathway and PPAR signaling pathway in the KEGG pathway database were significantly enriched. PPI network analysis showed that the downregulated genes FABP4, ADIPOQ, PLIN1, PLIN2 and LIPE were closely linked to other DEGs and were the key sites of multiple metabolic pathways. Combined with qRT-PCR and protein expression profile analysis, the expression level of fat acid metabolism related genes (FABP4, ADIPOQ) in black cattle was high and the difference was significant. Changes in the expression of fatty acid metabolism-related genes in Black cattle and Luxi cattle were analyzed and important candidate marker genes (such as ADIPOQ and FABP4) that affect fat deposition were identified in order to provide a genetic basis for the efficient breeding of production performance, establish a molecular marker database for local cattle breeds and support the cultivation of new breeds.
Project description:The nasopharyngeal microbiota of healthy cattle vs. cattle diagnosed with BRD in a commercial feedlot setting was compared using a high-density 16S rRNA microarray (Phylochip). Nasopharyngeal samples were taken from both groups of animals (n=5) at feedlot entry (day 0) and >60 days later.
Project description:We aimed to elucidate the effects of feeding condition (indoor grain-feeding vs. grazing on pasture) on c-miRNAs in Japanese Black (JB) cattle (Wagyu). The cattle at 18 months old were divided into pasture feeding and conventional indoor grain feeding for 5 months. Microarray analysis of c-miRNAs from the plasma extracellular vesicles led to the detection of a total of 202 bovine miRNAs in the plasma, including 15 miRNAs that differed between the feeding conditions.
Project description:We found four circulating miRNAs showing high levels in plasma of pregnant Japanese Black cows. Since these miRNAs are less affected by the measurement system due to hemolysis, it was suggested that they may be used as markers for early pregnancy diagnosis in cattle.
Project description:Copy number variations (CNVs) are an important source of genomic structural variation, and can be used as markers to investigate phenotypic and economic traits. CNVs also have functional effects on gene expression and can contribute to disease susceptibility in mammals. Currently, single nucleotide polymorphism genotyping arrays (SNP chips) are the technology of choice for identifying CNV variations. Microarray technologies have recently been used to study the bovine genome. The objective of the present study was to develop CNVs in Holstein cows from the Northwest of Mexico using the Affymetrix Axiom Genome-Wide BOS 1 Array, which assays 648,315 SNPs and provides a wide coverage for genome-wide studies. We applied the two most widely used algorithms for the discovery of CNVs (PennCNV and QuantiSNP) and found 56 CNV regions (CNVRs) representing 0.33% of the bovine genome (8.46 Mb). These CNVRs ranged from 1.5 to 970.8 kb with an average length of 151 kb. They involved 103 genes and showed a 28% overlap with CNVRs already reported. Of the 56 CNVRs found, 20 were novel. In this study we present the first genomic analysis of CNVs in Mexican cattle using highdensity SNP data. Our results provide a new reference basis for future genomic variation and association studies between CNVs and phenotypes, especially in Mexican cattle.
Project description:Transcriptional profiling of blood B cells from bovine leukemia virus-infected cattle comparing IgMhigh B cells with IgMlow B cells. Goal was to estimate the difference of cellular function in both subset. Two-condition experiment, IgMhigh B cells vs. IgMlow B cells from three bovine leukemia virus-infected cattle.
Project description:Background: African animal trypanosomiasis (AAT) caused by tsetse fly-transmitted protozoa of the genus Trypanosoma is a major constraint on livestock and agricultural production in Africa and is among the top ten global cattle diseases impacting on the poor. Here we show that a functional genomics approach can be used to identify temporal changes in host peripheral blood mononuclear cell (PBMC) gene expression due to disease progression. We also show that major gene expression differences exist between cattle from trypanotolerant and trypanosusceptible breeds. Using bovine long oligonucleotide microarrays and real time quantitative reverse transcription PCR (qRT-PCR) validation we analysed PBMC gene expression in naïve trypanotolerant and trypanosusceptible cattle experimentally challenged with Trypanosoma congolense across a 34-day infection time course. Results: Trypanotolerant N’Dama cattle displayed a rapid and distinct transcriptional response to infection, with a ten-fold higher number of genes differentially expressed at day 14 post infection compared to trypanosusceptible Boran cattle. These analyses identified coordinated temporal gene expression changes for both breeds in responses to trypanosome infection. In addition, a panel of genes were identified that showed pronounced differences in gene expression between the two breeds, which may underlie the phenomena of trypanotolerance and trypanosusceptibility. Gene ontology (GO) analysis demonstrate that the products of these genes may contribute to increased mitochondrial mRNA translational efficiency, a more pronounced B cell response, an elevated activation status and a heightened response to stress in trypanotolerant cattle. Conclusions: This study has revealed an extensive and diverse range of cellular processes that are altered temporally in response to trypanosome infection in African cattle. Results indicate that the trypanotolerant N’Dama cattle respond more rapidly and with a greater magnitude to infection compared to the trypanosusceptible Boran cattle. Specifically, a subset of the genes analyzed by qRT-PCR, which display significant breed differences, could collectively contribute to the trypanotolerance trait in N’Dama.
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