Ontology highlight
ABSTRACT:
PROVIDER: PRJNA431828 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of plants. The goals of this study are to compare omparatively evaluated both sequence variation and gene expression at the transcriptomic level between two species. Methods: Pooled total RNA of P. floridana flower buds and young fruits, in triplicate, using Illumina HiSeqTM 2000. The sequence reads remove reads with adaptors or unknown nucleotides larger than 5% and low-quality reads using . qRT–PCR validation was performed using TaqMan and SYBR Green assays Results: Sequencing the Physalis transcriptome revealed 147,118 unigenes. When aligned to the tomato genome, we estimated that around 30,121 genes were expressed in the Physalis floral-fruit transcriptome, and 10,498 orthologous gene pairs were identified between P. floridana and S. pimpinellifolium.with a fold change ≥1.5 and FER value <0.001, 0.68% of the unigenes in the Physalis floral-fruit transcriptome were developmentally regulated at the floral-fruit transition, and Altered expression of 15 genes was confirmed with qRT–PCR, demonstrating the high degree of sensitivity of the RNA-seq method. Conclusions: Our study represents the first detailed analysis of floral-fruit transcriptomes, with biologic replicates, generated by RNA-seq technology.The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a organ or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.
2018-12-29 | GSE92998 | GEO
Project description:MicroRNAs are crucial regulator of reprogramming of gene expression cascade during plant-pathogen interaction. We have used tomato (Pusa Ruby) plant and early blight pathogen, Alternaria for the analysis of tomato miRNA expression profiles in a compatible interaction. Illumina next generation sequencing (NGS) technique based whole transcriptome analysis revealed that, (i) about 188 known miRNAs, ranging from 18nt to 24nt expressed in tomato, which belonged to 124 miRNA families and (ii) both conserved and Solanaceae specific miRNAs were differentially expressed. Most of the miRNAs were down-regulated, and around 7 miRNAs were highly differentially regulated (log2FC ≥ ±3). Furthermore, using stringent selection criteria we could detect approximately 74 putative novel miRNAs. GO terms enrichment and KEGG pathway analyses of predicted targets of differentially expressed miRNAs have been performed to identify the pathways that were perturbed during the infection. Supported by DBT, Govt. of India.
2016-05-20 | GSE75922 | GEO
Project description:The Kashmiri population is an ethno-linguistic group that resides in the Kashmir Valley in northern India. A longstanding hypothesis is that this population derives ancestry from Jewish and/or Greek sources. There is historical and archaeological evidence of ancient Greek presence in India and Kashmir. Further, some historical accounts suggest ancient Hebrew ancestry as well. To date, it has not been determined whether signatures of Greek or Jewish admixture can be detected in the Kashmiri population. Using genome-wide genotyping and admixture detection methods, we determined there are no significant or substantial signs of Greek or Jewish admixture in modern-day Kashmiris. The ancestry of Kashmiri Tibetans was also determined, which showed signs of admixture with populations from northern India and west Eurasia. These results contribute to our understanding of the existing population structure in northern India and its surrounding geographical areas.
2016-08-16 | GSE85594 | GEO
Project description:The study represents genus-wide proteomics analysis of venom composition across Naja (N. naja, N. oxiana and N. kaouthia) found in mainland India. Venoms from Naja species were fractionated using RP-HPLC and subjected to MS/MS analysis. Indian polyvalent antivenom immunoprofiling was performed against different venoms by identifying unbound toxins using MS/MS analysis.
2023-05-10 | PXD027361 | Pride
Project description:This study investigates the widespread cryptic Bungarus caeruleus (Comman krait) in India and clinical repercussions of their bits by implementing multidisciplinary approach involving proteomics, transcripomics, and assessment of toxicity and efficacy of currently marketed anivenoms. The study also aims at understanding the evolutionary relationships between these phenotypically simillar kraits.
2021-09-09 | PXD023127 | Pride
Project description:Regulatory small RNAs (sRNAs) play important roles in many fundamental processes in plant biology such as development, fertilization and stress responses. The AGO protein family has here a central importance in gene regulation based on their capacity to associate with sRNAs followed by mRNA targeting in a sequence-complementary manner. The present study explored Argonautes (AGOs) in the Solanaceae family, with emphasis on potato, Solanum tuberosum (St). A genome-wide monitoring was performed to provide a deeper insight into gene families, genomic localization, gene structure and expression profile against the potato late blight pathogen Phytophthora infestans. Among 15 species in the Solanaceae family we found a variation from ten AGOs in Nicotiana obtusifolia to 17 in N. tabacum. Comprehensive analyses of AGO phylogeny revealed duplication of AGO1, AGO10 and AGO4 paralogs during early radiation of Solanaceae. Fourteen AGOs were identified in potato. Orthologs of AGO8 and AGO9 were missing in the potato genome. However, AGO15 earlier annotated in tomato was identified. StAGO15 differs from the other paralogs having residues of different physico-chemical properties at functionally important amino acid positions. Upon pathogen challenge StAGO15 was significantly activated and hence may play a prominent role in sRNA-based regulation of potato defense.
2020-12-01 | GSE159015 | GEO
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived flower development transcriptome profiling (RNA-seq) of two subspecies Methods: Flower mRNA profiles of wild-type (WT) four developmental stages and the same stages of Vitis vinifera subp vinifera were generated by deep sequencing using Illumina. Initial quality assessment was based on data passing the Illumina Chastity filtering. Subsequently, reads containing adapters and/or PhiX control signal were removed using an in-house filtering protocol. The second quality assessment was based on the remaining reads using the FASTQC quality control tool version 0.10.0. qRT–PCR validation was performed using EvaGreen assays. Results: Using an optimized data analysis workflow, we mapped about 13 to 19 million sequence reads per Vitis sample, 50 bp in length equivalent to 1.5 Gb of total sequence data by each sample. The exception was male stage G (M_G) were only 7 to 8 million sequence reads were obtained. Five genes (VvTFL1, VvLFY, VvAP1, Vv AP3, VvPI), related to flowering development, were used to validate RNA-Seq data and to test for data reproducibility through qRT–PCR. The coefficient of correlation (r) obtained between the log2 of RPKM (RNA-Seq) versus log2 of mRNA average number (RT-qPCR), varied from ≈ 0.97 (VvTLF) to ≈ 0.73 (VvPI) indicating a good correlation between both techniques and thus validating our RNA-Seq results. Conclusions: Our study represents the first detailed transcriptome analysis of four Vitis flower developmental stages, with the same individual, in three genders, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and accurate quantitative and qualitative evaluation of mRNA contentper developmental stage. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions. Flowering mRNA profiles of four developmental stages of Vitis wild type (WT) and the domesticated Vitis were generated by deep sequencing using Illumina HiSeq 2500.
2015-01-26 | E-GEOD-56844 | biostudies-arrayexpress