E-GEOD-25759
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PRJNA59945PRJNA134053
PROVIDER: E-GEOD-25759 | ExpressionAtlas | 2016-10-17
REPOSITORIES: ExpressionAtlas
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| E-GEOD-25759-analysis-methods.tsv | Tabular | |||
| E-GEOD-25759-analytics.tsv | Tabular | |||
| E-GEOD-25759-analytics.tsv.undecorated | Tabular | |||
| E-GEOD-25759-analytics.tsv.undecorated.unrounded | Tabular | |||
| E-GEOD-25759-analytics.tsv.unrounded | Tabular |
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Project description:When GPC transcription factor in hexaploid wheat is down-regulated by stable RNA interference (GPC RNAi), senescence is significantly delayed and grain protein content together with the overall nutrient partitioning to the grain is greatly reduced. mRNA-seq was used to catalogue the genes that are regulated by the GPC transcription factor during monocarpic senescence.
2011-09-23 | GSE25759 | GEO
Project description:When GPC transcription factor in hexaploid wheat is down-regulated by stable RNA interference (GPC RNAi), senescence is significantly delayed and grain protein content together with the overall nutrient partitioning to the grain is greatly reduced. mRNA-seq was used to catalogue the genes that are regulated by the GPC transcription factor during monocarpic senescence. cDNA was prepared from wild type bread wheat plants and GPC RNAi plants 12 days after anthesis and sequenced by Illumina. Four biological replications per genotypes were sequenced. To determine gene expression levels, reads were aligned to a reference transcriptome generated by assemblying 454-reads obtained from the same biological material (454 assembled sequences: TSA project 59945 - accession numbers: HP608076-HP639668).
2011-09-23 | E-GEOD-25759 | biostudies-arrayexpress
Project description:Effect of downregulation of the high grain protein content (GPC) gene on the wheat transcriptome during monocarpic senescence
| PRJNA134053 | ENA
Project description:Grain yield and protein content were determined for six wheat cultivars grown over three years at multiple sites and at multiple N-fertilizer inputs. Although grain protein was negatively correlated with yield, some grain samples had higher protein contents than expected based on their yields, a trait referred to as grain protein deviation (GPD). We used novel statistical approaches to calculate GPD across environment and to correlate gene expression in the developing caryopsis with this trait. The yield and protein content were initially adjusted for nitrogen fertilizer inputs, and then adjusted for yield (to remove the negative correlation) resulting in environmental corrected GPD. The transcriptome data for all samples were subjected to Principal Component Analysis (PCA) and ANOVA to identify individual Principal Components (PCs) correlating with GPD alone. Scores of the selected PCs significantly related to cultivar differences and GPD but not to the yield or protein content were identified as reflecting a multivariate pattern of gene expression related to genetic variation in GPD. Sets of genes significant for these PCs and hence GPD were identified as candidate genes determining cultivar differences in GPD. Microarray profiling has been used to identify the links between gene expression and grain protein content in 6 different varietes of wheat grown at 2 different sites, 3 N levels and during 3 growth seasons.
2014-07-04 | GSE59056 | GEO
Project description:Introgression of a high molecular weight glutenin subunit (HMW-GS) gene, 1Ay21*, into commercial wheat cultivars increased overall grain protein content and bread-making quality by unknown mechanisms. As well as increased abundance of 1Ay HMW-GS, 115 differentially expressed proteins (DEPs) were discovered between three cultivars and corresponding introgressed near-isogenic lines (NILs). Functional category analysis showed that the DEPs were predominantly other storage proteins, and proteins involved in protein synthesis, protein folding, protein degradation, stress response and grain development. Nearly half the genes encoding the DEPs showed strong co-expression patterns during grain development. Promoters of these genes are enriched in elements associated with transcription initiation and light response, indicating a potential connection between these cis-elements and grain protein accumulation. A model of how this HMW-GS enhances the abundance of machinery for protein synthesis and maturation during grain filling is proposed. This analysis not only provides insights into how introgression of the 1Ay21* improves grain protein content, but also directs selection of protein candidates for future wheat quality breeding programmes.
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Project description:TaGPC1 and TaGPC2 are NAC-domain transcription factors which accelerate the onset of senescence and facilitate nutrient translocation in wheat. We developed knockout mutants of these genes in tetraploid wheat and used RNA-seq to identify the effect of these mutations on the wheat flag leaf transcriptome during monocarpic senescence. Several transporter-related genes were identified which were upregulated during senescence and differentially expressed between genotypes.
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Project description:Grain yield and protein content were determined for six wheat cultivars grown over three years at multiple sites and at multiple N-fertilizer inputs. Although grain protein was negatively correlated with yield, some grain samples had higher protein contents than expected based on their yields, a trait referred to as grain protein deviation (GPD). We used novel statistical approaches to calculate GPD across environment and to correlate gene expression in the developing caryopsis with this trait. The yield and protein content were initially adjusted for nitrogen fertilizer inputs, and then adjusted for yield (to remove the negative correlation) resulting in environmental corrected GPD. The transcriptome data for all samples were subjected to Principal Component Analysis (PCA) and ANOVA to identify individual Principal Components (PCs) correlating with GPD alone. Scores of the selected PCs significantly related to cultivar differences and GPD but not to the yield or protein content were identified as reflecting a multivariate pattern of gene expression related to genetic variation in GPD. Sets of genes significant for these PCs and hence GPD were identified as candidate genes determining cultivar differences in GPD. Microarray profiling has been used to identify the links between gene expression and grain protein content in 6 different varietes of wheat grown at 2 different sites, 3 N levels and during 3 growth seasons. Six UK cultivars (Istabraq , Hereward, Marksman, Cordiale, Malacca and Xi 19) were grown over three seasons (2008-9, 2009-10 and 2010-11) at Rothamsted . In the present publication, data from two sites are included: Rothamsted and RAGTResearch (Harpenden, UK) and at four other sites in the south-east of the UK (RAGT, Ickleton, Cambridge; Limagrain, Woolpit, Suffolk; Syngenta, Whittlesford, Cambridge; KWS-UK, Thriplow, Hertfordshire) in 2009-10 and 2010-11 only. Three replicate plots were grown at three N levels: 100kg/ha, (N100), 200kg/ha (N200) and 350 kg/ha (N350) (see Barraclough et al., 2010, Chope at al., 2014). Developing heads (10 per plot) were tagged and caryopses were harvested from the Rothamsted (2009, 2010 and 2011) and RAGT (2010 and 2011) sites at 21 days after anthesis (mid-grain filling) to measure gene expression using Affymetrix wheat microarrays giving a total of 161 samples. Six UK cultivars (Istabraq , Hereward, Marksman, Cordiale, Malacca and Xi 19) were grown over three seasons (2008-9, 2009-10 and 2010-11) at Rothamsted Research (Harpenden, UK) and at four other sites in the south-east of the UK (RAGT, Ickleton, Cambridge; Limagrain, Woolpit, Suffolk; Syngenta, Whittlesford, Cambridge; KWS-UK, Thriplow, Hertfordshire) in 2009-10 and 2010-11 only. Three replicate plots were grown at three N levels: 100kg/ha, (N100), 200kg/ha (N200) and 350 kg/ha (N350) (see Barraclough et al., 2010, Chope at al., 2014). Developing heads (10 per plot) were tagged and caryopses were harvested from the Rothamsted (2009, 2010 and 2011) and RAGT (2010 and 2011) sites at 21 days after anthesis (mid-grain filling) to measure gene expression using Affymetrix wheat microarrays giving a total of 161 samples.
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Project description:Seed storage proteins (SSP) play a central role in providing carbon (C), nitrogen (N), and sulfur (S) resources during seed germination. Their content and composition are essential determinants shaping wheat end-use value. Molecular mechanisms underlying the developmental and nutritional regulation of SSP accumulation in wheat grain are as yet poorly understood. We were interested to elucidate the effects of N and S supplies on the gene expression of the entire system of wheat grain. For this purpose, we performed microarray analysis using a custom T.aestivum NimbleGen 40k microarray (ref. A-MEXP-1928) in wheat grains of 8 developmental stages and four N and S treatments.
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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:Development of wheat (Triticum aestivum L.) grain mainly depends on the processes of starch synthesis and storage protein accumulation, which are critical for grain yield and quality. However, the regulatory network underlying the transcriptional and physiological changes of grain development is still not clear. Here, we combined ATAC-seq and RNA-seq to discover the chromatin accessibility and gene expression dynamics during these processes. We found that the chromatin accessibility changes are tightly associated with differential expressions and the proportion of distal ACRs were increased gradually during grain development. Specific transcription factor (TF) binding sites were enriched at different stages, and were diversified among the 3 subgenomes. We further predicted the potential interactions between key TFs and genes related with starch and storage protein biosynthesis and found different copies of some key TFs played diversified roles. Overall, our findings have provided numerous resources and illustrated the regulatory network during wheat grain development, which would shed lights on the improvement of wheat yields and qualities.
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