4DWheat Activity 2.2: Genetic maps of synthetic hexaploid wheat derived populations
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ABSTRACT:
INSTRUMENT(S): Illumina MiSeq
ORGANISM(S): Triticum Aestivum
SUBMITTER: AAFC-AAC
PROVIDER: PRJEB78483 | EVA | 2024-08-01
REPOSITORIES: EVA
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Project description:To explore the effect of stable RNAi on the small RNA (sRNA) population in wheat, we constructed a sRNA library from hexaploid wheat that expresses an RNAi construct under the 35S promoter that targets the endogenous NO APICAL MERISTEM (TaNAM) gene. The presence of this RNAi transgene causes a 40% reduction in expression of the target genes as measured by quantitative RT-PCR and significantly delays senescence and reduces remobilization of N, Fe, and Zn to the grain.
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Project description:Gene expression levels of newly synthetic triploid wheat (ABD), its chromosome-doubled hexaploid (AABBDD), stable synthetic hexaploid (AABBDD), and their parents, Triticum turgidum (accession KU124, AABB) and Aegilops tauschii (accession KU2074, DD) were compared to understand genome-wide change of gene expressions during the course of amphidiploidization and genome stabilization. Stable synthetic hexaploid which were maintained through self-pollinations for 13 generations using the same combinations of the parents for production of synthetic common wheat.
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Project description:Wheat is a cereal grain and one of the world’s major food crops. Recent advances in wheat genome sequencing are by now facilitating genomic and proteomic analyses of this crop. However, little is known about the protein levels of hexaploid versus tetraploid wheat cultivars, and knowledge on phosphorylated proteins still limited. Using our recently established (phospho)proteomic workflow, we performed a parallel analysis of the proteome and phosphoproteome on seedling leaves from two hexaploid wheat cultivars (Pavon 76 and USU-Apogee) and a tetraploid wheat (Senatore Cappelli). This revealed that a large portion of proteins and phosphosites can be quantified in all cultivars. Our shotgun proteomics data revealed a high similarity between hexaploid and tetraploid varieties with respect to protein abundance. However, we could identify a set of proteins that were differentially abundant between hexaploid and tetraploid cultivars. In addition, already at seedling stage, a small set of proteins were differential between the small (USU-Apogee) and larger hexaploid wheat cultivar (Pavon 76), which could potentially act as growth predictors. Finally, the phosphosites identified in this study can be retrieved from the in-house developed plant PTM-Viewer (bioinformatics.psb.ugent.be/webtools/ptm_viewer/), making this the first repository for phosphorylated wheat proteins. This paves the way for further in depth, quantitative (phospho)proteome-wide differential analyses upon a specific trigger or environmental change.
2017-04-03 | PXD005437 | Pride
Project description:affy_hexaploid_wheat - hexa - Changes upon polyploidization in hexaploid wheat - transcriptomic changes in synthetic hexaploid derived from a cross between tetraploid and natural diploid. Study aims to understand regulation of gene expression in synthetic and natural wheat allohexaploids (Triticum aestivum), that combines the AB genome of T. turgidum and the D genome of Aegilops tauschii; and which we have recently characterized as genetically stable. We conducted a comprehensive genome-wide analysis of gene expression that allowed us to compare the effect of variability of the D genome progenitor, the trans-generation stability as well as comparison to natural wheat allohexaploid. We used the Affymetrix GeneChip® Wheat Genome Array, on which 55,049 transcripts are represented. Additive expression was shown to represent majority of expression regulation in the synthetic allohexaploids, where expression for more than 93% of transcripts was equal to the one evaluated from equal mixture of parental RNA. This leaves ~2000 (~7%) transcripts, which expression was non-additive. No global gene expression bias or dominance towards any of the progenitor genomes was observed whereas high trans-generational stability and low effect of the D genome progenitor variability were revealed. Our study suggests that gene expression regulation in wheat allohexaploids is early established upon allohexaploidization and highly conserved over generations, as demonstrated by the high similarity of expression with natural wheat allohexaploids. Keywords: genotype and ecotype comparison
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Project description:We conducted microarray analysis to study comprehensive changes of gene expression profile under long-term low-temperature (LT) treatment and to identify other LT-responsive genes related with cold acclimation in seedling leaves and crown tissues (shoots containing apical meristems) of a synthetic hexaploid wheat line. The microarray analysis revealed marked up-regulation of a number of Cor/Lea genes and fructan biosynthesis-related genes under the long-term LT treatment. For validation of the microarray data, we selected four synthetic wheat lines, which contained the A and B genomes from a tetraploid wheat cultivar Langdon and the diverse D genomes originating from the different Ae. tauschii accessions, with distinct levels of freezing tolerance after cold acclimation. Quantitative RT-PCR analyses showed that the transcription accumulated levels of the Cor/Lea, CBF, and fructan biosynthesis-related genes were higher in more freezing-tolerant lines than those in the sensitive lines. The fructan biosynthesis pathway would be associated with cold acclimation to develop wheat freezing tolerance and related with diversity of the freezing tolerance level in addition to the CBF-mediated Cor/Lea expression pathway.
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Project description:affy_hexaploid_wheat - hexa - Changes upon polyploidization in hexaploid wheat - transcriptomic changes in synthetic hexaploid derived from a cross between tetraploid and natural diploid. Study aims to understand regulation of gene expression in synthetic and natural wheat allohexaploids (Triticum aestivum), that combines the AB genome of T. turgidum and the D genome of Aegilops tauschii; and which we have recently characterized as genetically stable. We conducted a comprehensive genome-wide analysis of gene expression that allowed us to compare the effect of variability of the D genome progenitor, the trans-generation stability as well as comparison to natural wheat allohexaploid. We used the Affymetrix GeneChip® Wheat Genome Array, on which 55,049 transcripts are represented. Additive expression was shown to represent majority of expression regulation in the synthetic allohexaploids, where expression for more than 93% of transcripts was equal to the one evaluated from equal mixture of parental RNA. This leaves ~2000 (~7%) transcripts, which expression was non-additive. No global gene expression bias or dominance towards any of the progenitor genomes was observed whereas high trans-generational stability and low effect of the D genome progenitor variability were revealed. Our study suggests that gene expression regulation in wheat allohexaploids is early established upon allohexaploidization and highly conserved over generations, as demonstrated by the high similarity of expression with natural wheat allohexaploids. Keywords: genotype and ecotype comparison 18 arrays - wheat
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Project description:Recombination landscape of hexaploid bread wheat reveals genes controlling recombination and gene conversion frequency
| PRJEB28231 | ENA
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. Keywords: Time course
2006-10-14 | GSE6027 | GEO
Project description:Many crop species have complex genomes, making the conventional pathway to associating molecular markers with trait variation, which includes genome sequencing, both expensive and time-consuming. We used a streamlined approach to rapidly develop a genomics platform for hexaploid wheat based on the inferred order of expressed sequences. This involved assembly of the transcriptomes for the progenitor genomes of bread wheat, the development of a genetic linkage map comprising 9495 mapped transcriptome-based SNP markers, use of this map to rearrange the genome sequence of Brachypodium distachyon into pseudomolecules representative of the genome organization of wheat and sequence similarity-based mapping onto this resource of the transcriptome assemblies. To demonstrate that this approximation of gene order in wheat is appropriate to underpin association genetics analysis, we undertook Associative Transcriptomics for straw biomass traits, identifying associations and even candidate genes for height, weight and width.
2014-01-31 | E-MTAB-4414 | biostudies-arrayexpress