Wheat root-associated and rhizosphere bacteria
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA664890 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12738803_1.fastq.gz | Fastqsanger.gz | |||
| SRR12738803_2.fastq.gz | Fastqsanger.gz | |||
| SRR12738804_1.fastq.gz | Fastqsanger.gz | |||
| SRR12738804_2.fastq.gz | Fastqsanger.gz | |||
| SRR12738805_1.fastq.gz | Fastqsanger.gz |
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Project description:The biological functions of circadian clock on growth and development have been well elucidated in model plants, while its regulatory roles in crop species, especially the roles on yield-related traits are poorly understood. Here, we characterize the core clock gene CCA1 homoeologs in wheat and studied their biological functions in seedling growth and spike development. TaCCA1 homoeologs exhibit typical diurnal expression patterns which are positively regulated by rhythmic histone modifications (H3K4me3, H3K9ac and H3k36me3). TaCCA1s are preferentially located in the nucleus and tend to form both homo- and heterodimers. TaCCA1 overexpression (TaCCA1-OE) transgenic wheat plants show disrupted circadian rhythmicity coupling with reduced chlorophyll and starch content, as well as biomass at seedling stage, also decreased spike length, grain number per spike and grain size at the ripening stage. Further studies using DNA affinity purification followed by deep sequencing (DAP-seq) indicates that TaCCA1 preferentially binds to sequences similar to “evening elements” (EE) motif in the wheat genome, particularly genes associated with photosynthesis, carbon utilization and auxin homeostasis, and decreased transcriptional levels of these target genes are observed in TaCCA1-OE transgenic wheat plants. Collectively, our study provides novel insights into a circadian-mediated mechanism of gene regulation to coordinate photo synthetic and metabolic activities in wheat, which is important for optimal plant growth and crop yield formation.
2022-06-29 | GSE200426 | GEO
Project description:Our understanding of the mechanisms that govern the cellular process of meiosis is limited in higher plants with polyploid genomes. Bread wheat is an allohexaploid that behaves as a diploid during meiosis. Chromosome pairing is restricted to homologous chromosomes despite the presence of homoeologues in the nucleus. The importance of wheat as a crop and the extensive use of wild wheat relatives in breeding programs has prompted many years of cytogenetic and genetic research to develop an understanding of the control of chromosome pairing and recombination. The rapid advance of biochemical and molecular information on meiosis in model organisms such as yeast provides new opportunities to investigate the molecular basis of chromosome pairing control in wheat. However, building the link between the model and wheat requires points of data contact. We report here a large-scale transcriptomics study using the Affymetrix wheat GeneChip® aimed at providing this link between wheat and model systems and at identifying early meiotic genes. Analysis of the microarray data identified 1,350 transcripts temporally-regulated during the early stages of meiosis. Expression profiles with annotated transcript functions including chromatin condensation, synaptonemal complex formation,recombination and fertility were identified. From the 1,350 transcripts, 30 displayed at least an eight-fold expression change between and including pre-meiosis and telophase II, with more than 50% of these having no similarities to known sequences in NCBI and TIGR databases. This resource is now available to support research into the molecular basis of pairing and recombination control in the complex polyploid, wheat. Experiment Overall Design: The seven stages collected were pre-meiosis (PM), leptotene to pachytene (LP), diplotene to anaphase I (DA), telophase I to telophase II (TT), tetrads (T), immature pollen (IP) and mature anthers (MAN). Immediately after determining the stage, the remaining two anthers from the floret were placed into liquid nitrogen. After collecting at least 25 staged anthers for each time point from several biological samples, anthers from the respective stages were pooled. Leaf material used in this study was collected from glasshouse-grown plants (six weeks) and total RNA isolated using Trizol® (Gibco BRL, Australia) according to the manufacturerâs protocol. Experiment Overall Design: Twenty micrograms of aRNA of from each of the seven samples were fragmented for hybridization to each microarray. In total three technical replicates were conducted for each of the seven stages examined. Affymetrix GeneChip® Wheat Genome Arrays were used for all samples. The arrays were hybridized and processed according to the manufacturerâs specifications. Experiment Overall Design: Normalization of the microarray data was conducted using RMA. The software package Acuity 4 (Molecular Devices, CA, USA) was then used to analyze the microarray data.
2008-06-14 | E-GEOD-6027 | biostudies-arrayexpress
Project description:Wheat panicle development is a coordinated process of proliferation and differentiation with distinctive phase and architecture changes. However, the multiple genes involved networks controlling this process remain enigmatic. Here, we characterized and dissected common wheat panicles in the stages of vegetative stage before elongation, elongation, single ridge, double ridge, glume primodium differentiation and floret differentiation, respectively, followed by RNA-seq and bioinformatics analysis to study genome-wide mRNA transcriptome profiling in wheat early spike development. High gene expression correlations between any two stages (R2>0.97) and only 4000 Differentially Expressed Genes (DEGs) out of 49624 expressed transcripts in all stages indicated that wheat early panicle development is just controlled by an small proportion of important genes. Three subgenomes (A, B and D) contribute equally to this process. K-means clustering analysis revealed the dynamic expression patterns of DEGs and Hierarchical Clustering analysis demonstrated that single bridge stage and double bridge stage are most important for wheat panicle development. Interestingly, 306 transcription factors (TFs) with various functions from different families were identified and the spatial-temporal expression patterns of some were verified by quantitative PCR or in situ hybridization. At early stages, repressing flowering TFs combined with AP2/ERF TFs and cytokinin promote inflorescence meristem development and repress meristem differentiation. At single ridge and double ridge stages, highly expressed stress-response TFs balance the interaction between stress response and development. During reproductive stages, crosstalk between auxin and cytokinin coordinate the meristem proliferation and differentiation, and promoting flowering TFs with polarity establishment TFs and MADS-box TFs promote floral meristem generation and floral organ identity and development. This dataset provided an ideal resource for wheat panicle developmental research. Our study uncovered the regulatory network for coordinated wheat early spike development and would eventually contribute to the improvement of grain number and crop yield.
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Project description:To study the expression profiles of hexaploid wheat chromosome 3B genes during the life cycle of a wheat plant and establish a transcriptome atlas for this chromosome, deep transcriptome sequencing was conducted in duplicates in 15 wheat samples corresponding to five different organs (leaf, shoot, root, spike, and grain) at three developmental stages each. Strand-non-specific and strand-specific libraries were used to produce 2.52 billion paired-end reads (232 Gb) and 615.3 single-end reads (62 Gb), respectively.
2014-09-08 | E-MTAB-4484 | biostudies-arrayexpress
Project description:Barley contains a much higher content of bioactive substances than wheat. In order to investigate the effect of genome interaction between barley and wheat on phytosterol content, we used a series of barley chromosome addition lines of common wheat. The wheat 38k-microarray was utilized for screening of genes with expression levels specifically increased by an additive effect or synergistic action between wheat and barley chromosomes. We determined the overall expression pattern of genes related to phytosterol biosynthesis in wheat and in each addition line. Together with determining the phytosterol levels of wheat, barley and each addition line, we assess the critical genes in the phytosterol pathway that can be expressed to promote phytosterol levels.
2011-12-08 | GSE28023 | 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.
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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.
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2007-10-02 | GSE8064 | GEO
Project description:This reports the transcript profiling of the aleurone and starchy endosperm layers of wheat seed over 3 time points critical in the development of the aleurone layer. Wheat is a critical food source globally. The aleurone layer develops from the starchy endosperm and is a concentrated source of vitamins and minerals, essential for the germination of the plant embryo. However the molecular mechanisms behind the development of this layer remain poorly understood. Here we present the first direct systematic comparison of the transcriptomes of the aleurone and starchy endosperm tissues of the wheat seed (Triticum aestivum) at time points critical to the development of the aleurone layer of 6, 9 and 14 days post anthesis. Gene expression patterns reflect the changing role of these tissues in seed development. Illumina sequencing gave 25 to 55 million sequence reads per tissue, of the trimmed reads, 70 – 81% mapped to reference expressed sequence transcripts. To quantify transcript abundance, RNA-Seq normalisation was performed to generate RPKM values, these were used in comparative analyses between the tissues at each time point using Kals Z-test. Sequences with significantly different RPKM values were categorised on the basis of tissue and time point expression and functionally annotated using standardised gene ontology vocabularies, revealing two very distinct tissues. In conclusion we show the relationships between and the fundamental biological reprogramming of the two major biologically and economically significant tissues of the wheat seed over time. Understanding these changes in gene expression profiles is essential to mining the potential these tissues hold for human nutrition and contributing to foundational and systems biology of this important crop.
2012-08-15 | GSE38344 | GEO