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Gene expression profile of the developing endosperm in durum wheat provides insight into starch biosynthesis
by
Kamble, Nitin Uttam
, Vickers, Martin
, Seung, David
, Watson-Lazowski, Alexander
, Chen, Jiawen
in
Agricultural research
/ Agriculture
/ Analysis
/ Biomedical and Life Sciences
/ Biosynthesis
/ Calorific value
/ Cluster analysis
/ Clustering
/ crops
/ data collection
/ Datasets
/ Development
/ Durum
/ Durum wheat
/ Edible Grain
/ Endosperm
/ Endosperm - genetics
/ Endosperm - metabolism
/ flowering
/ Gene expression
/ Gene sequencing
/ Genetic aspects
/ Genetic research
/ Genomes
/ Genomics
/ Grain
/ Grain development
/ Growth models
/ Harvesting
/ Life Sciences
/ Metabolism
/ mutants
/ Pasta
/ Physiological aspects
/ Plant Sciences
/ Plants
/ RNA
/ RNA sequencing
/ RNAseq
/ seed development
/ Seeds
/ Senescence
/ Starch
/ Starch - metabolism
/ Transcriptome
/ Transcriptomes
/ Transcriptomics
/ Tree Biology
/ Triticum - metabolism
/ Triticum turgidum subsp. durum
/ Wheat
2023
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Gene expression profile of the developing endosperm in durum wheat provides insight into starch biosynthesis
by
Kamble, Nitin Uttam
, Vickers, Martin
, Seung, David
, Watson-Lazowski, Alexander
, Chen, Jiawen
in
Agricultural research
/ Agriculture
/ Analysis
/ Biomedical and Life Sciences
/ Biosynthesis
/ Calorific value
/ Cluster analysis
/ Clustering
/ crops
/ data collection
/ Datasets
/ Development
/ Durum
/ Durum wheat
/ Edible Grain
/ Endosperm
/ Endosperm - genetics
/ Endosperm - metabolism
/ flowering
/ Gene expression
/ Gene sequencing
/ Genetic aspects
/ Genetic research
/ Genomes
/ Genomics
/ Grain
/ Grain development
/ Growth models
/ Harvesting
/ Life Sciences
/ Metabolism
/ mutants
/ Pasta
/ Physiological aspects
/ Plant Sciences
/ Plants
/ RNA
/ RNA sequencing
/ RNAseq
/ seed development
/ Seeds
/ Senescence
/ Starch
/ Starch - metabolism
/ Transcriptome
/ Transcriptomes
/ Transcriptomics
/ Tree Biology
/ Triticum - metabolism
/ Triticum turgidum subsp. durum
/ Wheat
2023
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Gene expression profile of the developing endosperm in durum wheat provides insight into starch biosynthesis
by
Kamble, Nitin Uttam
, Vickers, Martin
, Seung, David
, Watson-Lazowski, Alexander
, Chen, Jiawen
in
Agricultural research
/ Agriculture
/ Analysis
/ Biomedical and Life Sciences
/ Biosynthesis
/ Calorific value
/ Cluster analysis
/ Clustering
/ crops
/ data collection
/ Datasets
/ Development
/ Durum
/ Durum wheat
/ Edible Grain
/ Endosperm
/ Endosperm - genetics
/ Endosperm - metabolism
/ flowering
/ Gene expression
/ Gene sequencing
/ Genetic aspects
/ Genetic research
/ Genomes
/ Genomics
/ Grain
/ Grain development
/ Growth models
/ Harvesting
/ Life Sciences
/ Metabolism
/ mutants
/ Pasta
/ Physiological aspects
/ Plant Sciences
/ Plants
/ RNA
/ RNA sequencing
/ RNAseq
/ seed development
/ Seeds
/ Senescence
/ Starch
/ Starch - metabolism
/ Transcriptome
/ Transcriptomes
/ Transcriptomics
/ Tree Biology
/ Triticum - metabolism
/ Triticum turgidum subsp. durum
/ Wheat
2023
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Gene expression profile of the developing endosperm in durum wheat provides insight into starch biosynthesis
Journal Article
Gene expression profile of the developing endosperm in durum wheat provides insight into starch biosynthesis
2023
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Overview
Background
Durum wheat (
Triticum turgidum
subsp.
durum
) is widely grown for pasta production, and more recently, is gaining additional interest due to its resilience to warm, dry climates and its use as an experimental model for wheat research. Like in bread wheat, the starch and protein accumulated in the endosperm during grain development are the primary contributors to the calorific value of durum grains.
Results
To enable further research into endosperm development and storage reserve synthesis, we generated a high-quality transcriptomics dataset from developing endosperms of variety Kronos, to complement the extensive mutant resources available for this variety. Endosperms were dissected from grains harvested at eight timepoints during grain development (6 to 30 days post anthesis (dpa)), then RNA sequencing was used to profile the transcriptome at each stage. The largest changes in gene expression profile were observed between the earlier timepoints, prior to 15 dpa. We detected a total of 29,925 genes that were significantly differentially expressed between at least two timepoints, and clustering analysis revealed nine distinct expression patterns. We demonstrate the potential of our dataset to provide new insights into key processes that occur during endosperm development, using starch metabolism as an example.
Conclusion
We provide a valuable resource for studying endosperm development in this increasingly important crop species.
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