Hi-C data of 16 wheat genotypes
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB38974 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The transcriptome profile was examined in four wheat genotypes in roots and shoots under nitrogen stressed condition which indicates genotype specific transcript data-set apart from the common transcripts. Unique genes was identified for nitrogen uptake and utilization process. We used microarrays to detail the gene expression and identify the candidate genes related to uptake and utilization of nitrogen in root and shoot tissues of wheat genotypes.
2020-06-30 | GSE116473 | GEO
Project description:Ancestral and modern wheat genotypes Metagenome
| PRJNA643787 | ENA
Project description:Fusarium Head Blight (FHB) is a disease of wheat and other cereal crops, where Fusarium graminearum and related species infects the wheat inflorescence during and post-anthesis. The fungus produces trichothecene toxins that accumulate in the grain of infected head, and are required for disease spread. Microarrays were used to observe differential gene expression in the uninoculated spikelets of FHB-challenged wheat spikes in three wheat genotypes. A summary of our findings will be published in Plant Pathology.
2011-09-01 | GSE28973 | GEO
Project description:The use of statistical tools established for the genetic analysis of quantitative traits can be applied to gene expression data. Quantitative trait loci (QTL) analysis can associate expression of genes or groups of genes with particular genomic regions and thereby identify regions that play a role in the regulation of gene expression. A segregating population of 41 doubled haploid (DH) lines from the hard red spring wheat cross RL4452 x AC Domain was used. This population had previously been mapped with microsatellites and includes a full QTL analysis for agronomic and seed quality traits. Expression analysis from 5 day post anthesis developing seed was conducted on 39 of the 41 DH lines using the Affymetrix wheat array. Expression analysis of developing seeds from field grown material identified 1,327 sequences represented by Affymetrix probe sets whose expression varied significantly between genotypes of the population. A sub-set of 378 transcripts were identified that each mapped to a single chromosome interval illustrating that major expression QTLs can be found in wheat. Genomic regions corresponding to multiple expression QTLs were identified that were coincident with previous identified seed quality trait QTL. These regions may be important regulatory regions governing economically important traits. Comparison of expression mapping data with physical mapping for a sub-set of sequences showed that both cis and trans acting expression QTLs were present. Keywords: genetic differences, expression QTL
2007-03-25 | GSE4935 | GEO
Project description:The use of statistical tools established for the genetic analysis of quantitative traits can be applied to gene expression data. Quantitative trait loci (QTL) analysis can associate expression of genes or groups of genes with particular genomic regions and thereby identify regions that play a role in the regulation of gene expression. A segregating population of 41 doubled haploid (DH) lines from the hard red spring wheat cross RL4452 x AC Domain was used. This population had previously been mapped with microsatellites and includes a full QTL analysis for agronomic and seed quality traits. Expression analysis from 5 day post anthesis developing seed was conducted on 39 of the 41 DH lines using the Affymetrix wheat array. Expression analysis of developing seeds from field grown material identified 1,327 sequences represented by Affymetrix probe sets whose expression varied significantly between genotypes of the population. A sub-set of 378 transcripts were identified that each mapped to a single chromosome interval illustrating that major expression QTLs can be found in wheat. Genomic regions corresponding to multiple expression QTLs were identified that were coincident with previous identified seed quality trait QTL. These regions may be important regulatory regions governing economically important traits. Comparison of expression mapping data with physical mapping for a sub-set of sequences showed that both cis and trans acting expression QTLs were present. Keywords: genetic differences, expression QTL
2007-03-25 | GSE4929 | 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 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:Transcriptomic analysis of the embryo and endosperm tissue of maturing wheat seeds of two geneotypes, namely AC Domain and RL4452, was performed We used Affymetrix GeneChip Wheat Genome Array to detail transcriptional programs and regulatory networks underlying seed maturation/desiccation in wheat
2017-09-01 | GSE83077 | GEO
Project description:We report differentially expressed genes in four wheat genotypes, Nyubai, Wuhan 1 and their progeny line HC374, shaw associated with resistance and susceptibility against Fusarium Head Blight (FHB). Our result indicates an early up-regulation of LRR-RKs distinct between susceptible and resistant genotypes; subsequently, different sets of genes associated with defense response were up-regulated. Differences in expression profiles among the resistant genotypes indicate genotype specific defense mechanisms. This study also showed a greater resemblance in transcriptomics of HC374 to Nyubai, consistent with their sharing of two type II FHB resistant QTLs on 3BS and 5AS, than to Wuhan 1 which carries one QTL on 2DL in common with HC374.
2018-08-09 | GSE113128 | GEO
Project description:Comparative analysis of transcriptome in two wheat genotypes with contrasting levels of draught tolerance. We used microarrays to investigate the global gene expression in response to drought stress.
2017-02-27 | GSE87325 | GEO
Project description:Wheat represents one of the most important cereals for mankind. However, since wheat proteins are also the causative agent of several adverse reactions, during the last decades, consumers have shown an increasing interest in the old wheat genotypes, which are generally perceived as more “natural” and healthier than the modern ones. Comparison of nutritional value for modern and old wheat genotypes is still controversial, and to evaluate the real impact of these foods on human health comparative experiments involving old and modern genotypes are desirable. The nutritional quality of grain is correlated with its proteomic composition that depends on the interplay between the genetic characteristics of the plant and external factors related to the environment. We report here the label-free shotgun quantitative comparison of the metabolic protein fractions of two old Sicilian landraces (Russello and Timilia) and the modern variety Simeto, from the 2010-11 and 2011-12 growing seasons. The overall results show that Timilia presents the major differences with respect to the other two genotypes investigated. These differences may be related to different defense mechanisms and some other peculiar properties of these genotypes. On the other hand, our results confirm previous results leading to the conclusion that with respect to a nutritional value evaluation, there is a substantial equivalence between old and modern wheat genotypes.
2021-05-13 | PXD024204 | Pride