Triticum aestivum strain:Kharchia Local
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA201007 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR1300785.fastq.gz | Fastqsanger.gz | |||
| SRR1300786.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:Triticum aestivum breed:bread wheat | cultivar:kharchia local Transcriptome or Gene expression
| PRJNA340344 | ENA
Project description:Triticum aestivum cultivar:kharchia Transcriptome or Gene expression
| PRJNA340342 | ENA
Project description:Triticum aestivum cultivar:kharchia Transcriptome or Gene expression
| PRJNA340222 | ENA
Project description:Triticum aestivum cultivar:kharchia Transcriptome or Gene expression
| PRJNA340343 | ENA
Project description:Triticum aestivum cultivar:kharchia Transcriptome or Gene expression
| PRJNA340220 | ENA
Project description:Kharchia local is an Indian tall landrace wheat cultivar. It is native to sodic-saline soils of Kharchia tehsil of the Pali district of Rajasthan, and is a line developed from selections from farmer's fields. It is the most salt tolerant wheat genotype found in India. No systematic study has been carried out in this direction so far. The gaps in understanding of the mechanism underlying salt tolerance limit our ability to improve the salt tolerance in other crop plants. Transcriptome analysis of Kharchia Local under salt stress will provide the insight into the genes involved in salinity tolerance.
2015-05-29 | E-MTAB-4433 | biostudies-arrayexpress
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:Mass spectrometry-based wheat proteomics is challenging because the current interpretation of mass spectrometry data relies on public databases that are not exhaustive (UniProtKB/Swiss-Prot) or contain many redundant and poor or un-annotated entries (UniProtKB/TrEMBL). Here we report the development of a manually curated database of the metabolic proteins of Triticum aestivum (hexaploid wheat), named TriMet_DB (Triticum aestivum Metabolic Proteins DataBase). The manually curated TriMet_DB was generated in FASTA format, so that it can be read directly by programs used to interpret the mass spectrometry data. Furthermore, the complete list of entries included in the TriMet_DB is reported in a freely available resource, which includes for each protein the description, the gene code, the protein family,and the allergen name (if any). To evaluate its performance, the TriMet_DB was used to interpret the mass spectrometry data acquired on the metabolic protein fraction extracted from the MEC cultivar of Triticum aestivum.
2023-03-11 | PXD037709 | Pride
Project description:We identified the long non-coding RNAs (lncRNAs) in Triticum aestivum infected with Fusarium graminearum by high-throughput RNA sequencing. More than 393 million clean reads were obtained from Illumina Hiseq 4000 system and 126,391 transcripts was identified as high-confidence lncRNAs in T. aestivum against F. graminearum by an integrated approach. Already well over 4,130 of the total 4,276 differentially expressed lncRNAs were specifically expressed at 12 h post-inoculation (hpi), but only 89 of these were specifically expressed at 24 hpi, indicating that the initial stage was the crucial stage for lncRNA-mediated gene regulation of wheat defense against F. graminearum. Target analysis showed the lncRNAs participated in various biological stress processes.
2023-09-18 | GSE158213 | GEO
Project description:Kharchia Local wheat variety is an Indian salt tolerant land race known for its tolerance to salinity. However, there is a lack of detailed information regarding molecular mechanism imparting tolerance to high salinity in this bread wheat. In the present study, differential root transcriptome analysis identifying salt stress responsive gene networks and functional annotation under salt stress in Kharchia Local was performed. A total of 453,882 reads were obtained after quality filtering, using Roche 454-GS FLX Titanium sequencing technology. From these reads 22,241 ESTs were generated out of which, 17,911 unigenes were obtained. A total of 14,898 unigenes were annotated against nr protein database. Seventy seven transcription factors families in 826 unigenes and 11,002 SSRs in 6,939 unigenes were identified. Kyoto Encyclopedia of Genes and Genomes database identified 310 metabolic pathways. The expression pattern of few selected genes was compared during the time course of salt stress treatment between salt-tolerant (Kharchia Local) and susceptible (HD2687). The transcriptome data is the first report, which offers an insight into the mechanisms and genes involved in salt tolerance. This information can be used to improve salt tolerance in elite wheat cultivars and to develop tolerant germplasm for other cereal crops.
| S-EPMC4904219 | biostudies-literature