Project description:Purpose: The present study aimed to investigate the anthocyanin components and identify relevant regulatory genes in purple wheat grain by carrying out transcriptome analyses. Methods: The seeds of purple grain wheat and white grain wheat were collected 30 days after flowering, and three biological replicates were set. Total RNA was isolated and purified using TRIzol reagent (Invitrogen, Carlsbad, CA, USA) following the manufacturer's procedure. The RNA amount and purity of each sample was quantified using NanoDrop ND-1000. Then synthesizing the fragmented RNA into cDNA through the action of reverse transcriptase, and finally obtaining acDNA library. At last, we performed the 2×150bp paired-end sequencing (PE150) on an Illumina Novaseq™ 6000 following the vendor's recommended protocol. Results: A total of 10440 diferentially expressed genes were signifcantly enriched by RNA sequencing. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses revealed signifcantly enriched flavonoid biosynthesis and anthocyanin biosynthesis in CW_S versus W_S. And the ANS and UFGT genes were predicted as core genes in anthocyanin biosynthesis. Conclusions: Our study represents the detailed analysis of wheat grain transcriptomes, with biologic replicates, generated by RNA-seq technology. Through this study, we speculated that ANS and UFGT genes are the core genes of anthocyanin biosynthesis.The significant differences of these genes affect the synthesis of anthocyanins in wheat grains, and thus affect the grain color of wheat.
Project description:Transcriptome of starchy endosperm of hexaploid wheat var. Cadenza at 5 stages during grain-fill. This provides a reference set of all genes which are expressed in this single cell type during development which is of huge importance for human nutrition and for industrial uses of wheat grain. Here we focus on genes in glycosyl transferase and glycosyl hydrolase families which are responsible for the non-starch polysaccharide composition of wheat flour.
Project description:Transcript changes in response to low temperature Total RNA for RNA-seq analysis were extracted from wheat leaf tissues with three biological replicates for each growth condition.
Project description:Cellular protein abundance results from the relative rates of protein synthesis and protein degradation. Through combining in vivo stable isotope labelling and in-depth quantitative proteomics, we created a protein turnover atlas of wheat grain proteins during grain development. Our data demonstrate that protein turnover rates for 1447 unique wheat grain protein groups have an apparent spatiotemporal pattern that aids explanation of the 60% of variation in protein abundances that are not attributable to gene expression. Protein synthesis rates of individual proteins vary over 100 fold and degradation rates over 20 fold. Storage proteins have both higher synthesis and degradation rates than the overarching average rates of grain proteins in other functional categories, while those proteins involved in photosynthesis, DNA synthesis and glycolysis, by contrast, are house-keeping proteins that show low synthesis and degradation rates at all times. Approximately 20% of total grain ATP production through respiration is used for grain proteome biogenesis and maintenance, and the grain invests nearly half of this budget in storage protein synthesis alone. Degradation of storage proteins as a class of grain proteins also consumed a significant amount of the total ATP allocated to protein degradation processes. This analysis suggests that 20% of newly synthesized storage proteins are turned over rather than stored suggesting that this process is not energetically optimal. This approach to measure protein turnover rates at the proteome scale shows how different functional categories of grain proteins accumulate, calculates the costs of futile cycling of protein turnover during wheat grain development and identifies the most and the least stable wheat grain proteins.
Project description:Purpose: To identify abiotic stress responsive and tissue specific miRNAs at genome wide level in wheat (Triticum aestivum) Results: Small RNA libraries were constructed from four tissues (root, shoot, mature leaf and spikelets) and three stress treatments of wheat seedlings (control, high temperature, salinity and water-deficit). A total of 59.5 million reads were obtained by high throughput sequencing of eight wheat libraries, of which 32.5 million reads were found to be unique. Using UEA sRNA workbench we identified 47 conserved miRNAs belonging to 20 families, 1030 candidate novel and 51 true novel miRNAs. Several of these miRNAs displayed tissue specific expression whereas few were found to be responsive to abiotic stress treatments. Target genes were predicted for miRNAs identified in this study and their grouping into functional categories revealed that the putative targets were involved in diverse biological processes. RLM-RACE of predicted targets of three conserved miRNAs (miR156, miR160 and miR164) confirmed their mRNA cleavage, thus indicating their regulation at post-transcriptional level by corresponding miRNAs. Expression profiling of confirmed target genes of these miRNAs was also performed. Conclusions: This is the first comprehensive study on profiling of miRNAs in a variety of tissues and in response to several abiotic stresses in wheat. Our findings provide valuable resource for better understanding on the role of miRNAs in stress tolerance as well as plant development. Additionally, this information could be utilized for designing wheat plants for enhanced abiotic stress tolerance and higher productivity.
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.
Project description:Wheat is the staple food of over 35% of the world’s population, accounts for 20% of all human calories, and its yield and quality improvement is a focus in the effort to meet new demands from population growth and changing diets. As the complexity of the wheat genome is unravelled, determining how it is used to build the protein machinery of wheat plants is a key next step in explaining detailed aspects of wheat growth and development. The specific functions of wheat organs during vegetative development and the role of metabolism, protein degradation and remobilisation in driving grain production are the foundations of crop performance and have recently become accessible through studies of the wheat proteome. With the aim of creating a resource complementary to current genome sequencing and assembly projects and to aid researchers in the specific analysis and measurement of wheat proteins of interest, we present a large scale, publicly accessible database of identified peptides and proteins derived from the proteome mapping of Triticum aestivum. This current dataset consists of twenty four organ and developmental samples in an online interactive resource allowing the selection, comparison and retrieval of proteomic data with rich biochemical annotation derived from multiple sources. Tissue specific sub-proteomes and ubiquitously expressed markers of the wheat proteome are identified alongside hierarchical assessment of protein functional classes and their presence in different tissues. The impact of wheat’s polyploid genome on proteome analysis and the effect on defining gene specific and protein family relationships is accounted for in the organisation of the data. The dataset will serve as a vehicle to build, refine and deposit confirmed targeted proteomic assays for wheat proteins and protein families to assess function.
Project description:Two different wheat genotypes were treated with the high temperature and control conditions under full irrigated condition. Leaf tissues were collected for all 2-different treatments with six replicates after 7 and 10 days of high temperature treatment.