Triticum
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA601245 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Triticum urartu Raw sequence reads for Genotyping-by-Sequencing
| PRJNA557452 | ENA
Project description:This data set extends the original data from the UPLC–Orbitrap-MS portion of this article:Molecular cytogenetic identification and nutritional composition evaluation of newly synthesized Triticum turgidum-Triticum boeoticum amphiploids (AABBAbAb)
2023-11-28 | PXD046077 | Pride
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 Triticum aestivum transcriptome (RNA-seq) profiling methods and to evaluate genotypes associated with resistance against the Wheat dwarf virus. Methods: Triticum aestivum mRNA profiles of genotypes associated with resistance against the Wheat dwarf virus were generated by deep sequencing, in four replicates, using Illumina. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays. Conclusions: Our study represents the first detailed analysis of Triticum aestivum 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 and miRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.
2023-04-04 | GSE192518 | GEO
Project description:Small RNAs (21-24 nt) are pivotal regulators of gene expression that guide both transcriptional and post-transcriptional silencing mechanisms in diverse eukaryotes, including most if not all plants. MicroRNAs (miRNAs) and short interfering RNAs (siRNAs) are the two major types, both of which have a demonstrated and important role in plant development, stress responses and pathogen resistance. In this work, we used a deep sequencing approach (Sequencing-By-Synthesis, or SBS) to develop sequence resources of small RNAs from Triticum aestivum tissues (including leaves and spiklets infected with Fusarium and control). The high depth of the resulting datasets enabled us to examine in detail critical small RNA features as size distribution, tissue-specific regulation and sequence conservation between different organs in this species. We also developed database resources and a dedicated website (http://smallrna.udel.edu/) with computational tools for allowing other users to identify new miRNAs or siRNAs involved in specific regulatory pathways, verify the degree of conservation of these sequences in other plant species and map small RNAs on genes or larger regions of the genome under study.
2011-09-30 | GSE32476 | GEO
Project description:The pistillody mutant wheat (Triticum aestivum L.) plant HTS-1 exhibits homeotic transformation of stamens into pistils or pistil-like structures. Unlike common wheat varieties, HTS-1 produces three to six pistils per floret, potentially increasing the yield. Thus, HTS-1 is highly valuable in the study of floral development in wheat. In this study, we conducted RNA sequencing of the transcriptomes of the pistillody stamen (PS) and the pistil (P) from HTS-1 plants, and the stamen (S) from the non-pistillody control variety Chinese Spring TP to gain insights into pistil and stamen development in wheat.
2014-03-14 | E-MTAB-4469 | biostudies-arrayexpress
Project description:For this project, we have sequenced, assembled and annotated a transcriptome of a diploid wheat Triticum urartu accession PI 428198. The sequencing libraries were prepared from shoot and root tissues harvested from 2-3 week old seedlings. All sequencing was carried out on the Illumina HiSeq platform using the 100 bp pair-end protocol (248.5 million reads). The assembly was constructed using a multiple k-mer approach with a de novo assembly algorithm implemented in CLC Genomics Workbench 5.5 and additional redundancy reduction with CD-HIT and blast2cap3 programs. Open reading frames and proteins were predicted using BLASTX searches and a findorf algorithm.
2013-06-11 | E-MTAB-5037 | biostudies-arrayexpress