| Title |
Genome interplay in the grain transcriptome of hexaploid bread wheat
|
|---|---|
| Published in |
Science, July 2014
|
| DOI | 10.1126/science.1250091 |
| Pubmed ID | |
| Authors |
Matthias Pfeifer, Karl G. Kugler, Simen R. Sandve, Bujie Zhan, Heidi Rudi, Torgeir R. Hvidsten, International Wheat Genome Sequencing Consortium, Klaus F. X. Mayer, Odd-Arne Olsen |
| Abstract |
Allohexaploid bread wheat (Triticum aestivum L.) provides approximately 20% of calories consumed by humans. Lack of genome sequence for the three homeologous and highly similar bread wheat genomes (A, B, and D) has impeded expression analysis of the grain transcriptome. We used previously unknown genome information to analyze the cell type-specific expression of homeologous genes in the developing wheat grain and identified distinct co-expression clusters reflecting the spatiotemporal progression during endosperm development. We observed no global but cell type- and stage-dependent genome dominance, organization of the wheat genome into transcriptionally active chromosomal regions, and asymmetric expression in gene families related to baking quality. Our findings give insight into the transcriptional dynamics and genome interplay among individual grain cell types in a polyploid cereal genome. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 50% |
| United States | 2 | 25% |
| Germany | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 1% |
| France | 3 | <1% |
| Germany | 3 | <1% |
| Japan | 2 | <1% |
| United Kingdom | 2 | <1% |
| Australia | 2 | <1% |
| Paraguay | 1 | <1% |
| Norway | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 5 | 1% |
| Unknown | 351 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 92 | 24% |
| Student > Ph. D. Student | 80 | 21% |
| Student > Master | 31 | 8% |
| Student > Bachelor | 23 | 6% |
| Student > Doctoral Student | 20 | 5% |
| Other | 62 | 16% |
| Unknown | 68 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 227 | 60% |
| Biochemistry, Genetics and Molecular Biology | 51 | 14% |
| Computer Science | 6 | 2% |
| Engineering | 4 | 1% |
| Environmental Science | 3 | <1% |
| Other | 8 | 2% |
| Unknown | 77 | 20% |