Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1248066 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR33044388_1.fastq.gz | Fastqsanger.gz | |||
| SRR33044388_2.fastq.gz | Fastqsanger.gz | |||
| SRR33044389_1.fastq.gz | Fastqsanger.gz | |||
| SRR33044389_2.fastq.gz | Fastqsanger.gz | |||
| SRR33044390_1.fastq.gz | Fastqsanger.gz |
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Project description:Phytohormones are key regulators of plant growth, development, and signalling networks involved in responses to diverse biotic and abiotic stresses. Transcriptional reference maps of hormone responses have been reported for several model plant species such as Arabidopsis thaliana, Oryza sativa, and Brachypodium distachyon. However, because of species differences and the complexity of the wheat genome, these transcriptome data are not appropriate reference material for wheat studies. We comprehensively analysed the transcriptomic responses in wheat spikes to seven phytohormones, including indole acetic acid (IAA), gibberellic acid (GA), abscisic acid (ABA), ethylene (ET), cytokinin (CK), salicylic acid (SA), and methyl jasmonic acid (MeJA). A total of 3386 genes were differentially expressed at 24 h after the hormone treatments. Furthermore, 22.7% of these genes exhibited overlapping transcriptional responses for at least two hormones, implying there is crosstalk among phytohormones. We subsequently identified genes with expression levels that were significantly and differentially induced by a specific phytohormone (i.e., hormone-specific responses). The data for these hormone-responsive genes were then compared with the transcriptome data for wheat spikes exposed to biotic (Fusarium head blight) and abiotic (water deficit) stresses. Our data were used to develop a transcriptional reference map of hormone responses in wheat spikes.
2017-09-05 | GSE103430 | GEO
Project description:Here is reported the first study of transcriptome analyses using the Illumina HiSeq 4000 platform for three kinds of wheat (G represents Strong gluten wheat, Z represents middle gluten wheat,R represents weak gluten wheat). The variation of wheat varieties with different gluten content is mainly shown in the content of gluten, flour is divided into high gluten powder ( > 30%), medium gluten powder (26%-30%) and low gluten powder ( < 20%), according to the wet gluten content. In total, over 102.6 Gb clean reads were produced and 114, 621 unigenes were assembled; more than 59,085 unigenes had at least one significant match to an existing gene model. Differentially expressed gene analysis identified 2339 and 2600 unigenes which were expressed higher or lower among strong gluten, middle gluten and weak gluten wheat. After functional annotation and classification, three dominant pathways including protein isomerase, antioxidase activity and energy metabolism, and 410 unigenes related to gluten strength polymerization of wheat were discovered. In strong-gluten wheat, low molecular weight subunit content is higher than weak-gluten wheat, and the activity of cysteine synthase and isomerase is increased, which may promote the cross-linking of low molecular weight protein to high molecular weight protein. Meanwhile, POD enzyme strengthens gluten network and CAT enzyme affects gluten polymerization, along with higher ATPase activity, which will provides energy for protein polymerization reaction in comparison of strong-gluten wheat and weak-gluten wheat. The accuracy of these RNA-seq data was validated by qRT-PCR analysis. These data will extend our knowledge of quality characteristics of wheat and provide a theoretical foundation for molecular mechanism research of wheat.
2020-09-03 | GSE122699 | GEO
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:The economic importance of wheat and its contribution to human and livestock diets has been already demonstrated. However, wheat production is impacted by pests that induce yield reductions. Among these pests, wheat curl mite (WCM, Aceria tosichella Keifer) impacts wheat all around the world. WCM are tiny pests that feed within the whorl of developing leaves and prevent the leaves from unfurling by causing leaves curling. The curling of the leaves provides a protective niche for the WCM. Additionally, WCM are also the vector of serious viruses in wheat. Little is known regarding the impact of the WCM on wheat transcriptome, and to date, only one article has been published describing the wheat transcriptomic changes after 1 day of WCM feeding. To better understand the wheat transcriptome variation after long-term feeding by WCM (10 days post infestation (dpi)), we used an RNA-seq approach. We collected leaves uninfested and infested with WCR from two wheat cultivars: Byrd (WCM resistant) and Settler CL (WCM susceptible) at 10 dpi. Our transcriptomic analysis revealed the common and specific transcriptomic variations in WCM resistant and susceptible wheat cultivars, chromosome specific location of the differentially expressed genes, and also identified the gene functions and pathways involved in WCM resistance. Collectively, our study provides important insights on wheat defense mechanisms against WCM after long-term feeding.
2023-02-01 | GSE195958 | GEO
Project description:The goals of this study are to compare transcriptome profiling (RNA-seq) between two wheat cultivars with different antioxidant actvity and to clarify the differences of these two wheat cultivars.
2021-12-31 | GSE192732 | GEO
Project description:We report the transcriptome profile of different cultivars of Fusarium graminearum-infected wheat grains, aiming to search for some different expression genes and pathways to reveal the difference between wheat cultivars.
2021-11-18 | GSE188959 | GEO
Project description:Background: MicroRNAs regulate various biological processes in plants. Considerable data are available on miRNAs involved in the development of rice, maize and barley. In contrast, little is known about miRNAs and their functions in the development of wheat. In this study, five small RNA (sRNA) libraries from wheat seedlings, flag leaves, and developing seeds were developed and sequenced to identify miRNAs and understand their functions in wheat development. Results: Twenty-four known miRNAs belonging to 15 miRNA families were identified from 18 MIRNA loci in wheat in the present study, including 15 (9 MIRNA loci) first identified in wheat, 13 miRNA families (16 MIRNA loci) being highly conserved and 2 (2 MIRNAs loci) moderately conserved. In addition, fifty-five novel miRNAs were also identified. The potential target genes for 15 known miRNAs and 37 novel miRNAs were predicted using strict criteria, and these target genes are involved in a wide range of biological functions. Four of the 15 known miRNA families and 22 of the 55 novel miRNAs were preferentially expressed in the developing seeds with logarithm of the fold change of 1.0～7.6, and half of them were seed-specific, suggesting that they participate in regulating wheat seed development and metabolism. From 5 days post-anthesis to 20 days post-anthesis, miR164 and miR160 increased in abundance in developing seeds, whereas miR169 decreased, suggesting their coordinating functions in the different developmental stages of wheat seed. Moreover, eight known miRNA families and 28 novel miRNAs exhibited tissue-biased expression in wheat flag leaves, with the logarithm of the fold changes of 0.5～5.2. The putative targets of these tissue-preferential miRNAs were involved in various metabolism and biological processes, suggesting complexity of the regulatory networks in different tissues. Our data also suggested that wheat flag leaves have more complicated regulatory networks of miRNAs than developing seeds. Conclusions: Our work identified and characterised wheat miRNAs, their targets and expression patterns. This study is the first to elucidate the regulatory networks of miRNAs involved in wheat flag leaves and developing seeds, and provided a foundation for future studies on specific functions of these miRNAs.
2017-01-01 | GSE50524 | GEO