Whole genome re-sequencing of water buffalo (Bubalus bubalis)
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PROVIDER: PRJEB36423 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To identify the transcriptomic differences in spermatozoa derived from high and low fertile buffalo bulls.
2020-07-16 | GSE154517 | GEO
Project description:Sperm carries information to the presumptive embryo upon fertilization in terms of epigenetic codes and transcripts along with the haploid genome. The epigenetic code includes DNA methylation and histone modifications. During spermatogenesis, the DNA of sperm undergoes overall methylation changes and this could have some role to play in fertilizing ability of the sperm. Many of the studies have shown that the altered methylation can cause sub fertility. In the present study we report the development of first comprehensive 4X180K buffalo (Bubalus bubalis) CpG island/promoter microarray for studying the global DNA methylation profile of buffalo sperm. The array has been developed by employing microarray based comparative genomic hybridization (aCGH) technique with bovine and buffalo DNA using bovine genome sequence as reference. The array represents 157084 features assembled from CDS, Promotor and CpG regions covering 2,967 unique genes. We also report the comparison of genome wide methylation differences in buffalo sperm from high fertile and sub fertile bulls which indicated profound discrepancies in their methylation status. A total of 96 individual genes along with another 55 genes covered under CpG islands were found differentially methylated and and were associated with different cellular functions and biological processes affecting germ cell development, spermatogenesis, capacitation and embryonic development.
2014-12-24 | GSE46460 | GEO
Project description:The primary mammary epithelial cells of riverine buffalo were exposed to thermal stress condition at 42C for one hour. The cells were subsequently allowed to recover at 37C and harvested at different time intervals (30 min to 48 h) along with control samples (un-stressed). The study has identified several genes from different functional classes and biological pathways which could be termed as heat responsive in buffalo MEC
2016-08-26 | GSE84486 | GEO
Project description:Bubalus bubalis breed:Kundhi buffalo Genome sequencing
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Project description:Bubalus bubalis breed:Water buffalo Genome sequencing
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Project description:RNA Seq data showed 49 differentially altered mRNAs in estrus and diestrus stages of buffalo cell free saliva, that includes 10 mRNAs commonly present in both estrus and diestrus stages, whereas 12 and 27 mRNAs were found to be exclusively present either at the estrus or the diestrus stage respectively. In addition, four mature miRNAs were predicted to be differentially altered in the estrus as compared to the diestrus phase of buffaloes.
2023-12-08 | GSE186174 | GEO
Project description:Gonadotropin surge acts on the preovulatory follicle of the ovary to induce luteinization of follicular cells, oocyte meiotic maturation, cumulus expansion and follicular rupture leading to ovulation. These processes are brought about by spatial and temporal changes in transcriptional regulation of genes in the follicular cells in response to the gonadotropin surge. Analysis of gene expression changes in the periovulatory follicular cells will help in delineating the signal transduction pathways involved in the above mentioned processes. In monoovulatory species like bovines, the time interval of 24-28 hours between gonadotropin surge and ovulation provides distinct advantage for studying the temporal changes in the gene expression pattern. Thus, in the present study, we attempt to identify the temporal changes in the global gene expression profile in the periovulatory follicle of buffalo cows in response to gonadotropin surge and the results suggest the involvement of Insulin-like Growth Factor 1 and cytokine signaling pathways in the periovulatory events. Experiment Overall Design: To study the periovulatory gene expression changes in buffalo cows, an induced-ovulation model system involving sequential treatment with PGF2alpha and GnRH was standardized. The follicular wave containing at least one large follicle of ~7mm size was determined by ultrasonography on day 7 of the estrous cycle before administering exogenous PGF2alpha to induce luteolysis and follicular growth. Exogenous GnRH (100µg i.m) was administered 36h post PGF2alpha to induce LH surge. The time course of increase in LH levels post GnRH injection was monitored. Since peak LH levels are attained 2 h post GnRH administration, the time intervals of 3 h post GnRH (corresponding to1 h post LH surge) and 24 h post GnRH (corresponding to 22 h post LH surge) were chosen to identify the gene expression profile associated with immediate early and delayed changes in periovulatory follicle respectively. Thus ovaries were collected before, 1 h and 22 h post LH surge and follicle wall and granulosa cells were isolated from the ovaries and snap frozen for the purpose of RNA isolation.
2008-11-04 | E-GEOD-11312 | biostudies-arrayexpress
Project description:Duplicated sequences are the important source of gene innovation and structural variation within mammalian genomes. Using a read depth approach based on next-generation sequencing, we performed a genome-wide analysis of segmental duplications (SDs) and associated copy number variants (CNVs) in water buffalo (Bubalus bubalis). Aligning to the UMD3.1 cattle genome, we estimated 44.6 Mb (~1.73% of cattle genome) segmental duplications in the autosomes and X chromosome using the sequencing reads of Olimpia (the sequenced water buffalo). 70.3% (70/101) duplications were experimentally validated using the fluorescent in situ hybridization. We also detected a total of 1344 CNV regions across 14 additional water buffalos as well as Olimpia, amounting to 59.8Mb of variable sequence or 2.2% of the cattle genome. The CNV regions overlap 1245 genes and are significantly enriched for specific biological functions such as immune response, oxygen transport, sensory system and signalling transduction. Additionally, we performed array Comparative Genomic Hybridization (aCGH) experiments using the 14 water buffalos as test samples and Olimpia as the reference. Using a linear regression model, significant and high Pearson correlations (r = 0.781) were observed between the digital aCGH values and aCGH probe log2 ratios. We further designed Quantitative PCR assays to confirm CNV regions within or near annotated genes and found 74.2% agreement with our CNV predictions.
2019-02-28 | GSE118117 | GEO