| Title |
Flower colour intensity depends on specialized cell shape controlled by a Myb-related transcription factor
|
|---|---|
| Published in |
Nature, June 1994
|
| DOI | 10.1038/369661a0 |
| Pubmed ID | |
| Authors |
Ken-ichi Noda, Beverley J. Glover, Paul Linstead, Cathie Martin |
| Abstract |
Flower colour is determined primarily by the production of pigments, usually anthocyanins or carotenoids, but the shade and intensity of the colour are often changed by other factors such as vacuolar compounds, pH and metal ions. Pigmentation can also be affected by the shape of epidermal cells, especially those facing prospective pollinators. A conical shape is believed to increase the proportion of incident light that enters the epidermal cells, enhancing light absorption by the floral pigments, and thus the intensity of their colour. We have identified a gene (mixta) that affects the intensity of pigmentation of epidermal cells in Antirrhinum majus petals. The cells of the corolla lobes fail to differentiate into their normal conical form in mixta mutants. We have cloned the mixta gene by transposon tagging; its sequence reveals that it encodes a Myb-related protein that probably participates in the transcriptional control of epidermal cell shape. |
Mendeley readers
The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Canada | 3 | 2% |
| United Kingdom | 3 | 2% |
| New Zealand | 2 | 1% |
| Spain | 2 | 1% |
| India | 1 | <1% |
| Australia | 1 | <1% |
| Japan | 1 | <1% |
| Serbia | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 169 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 25% |
| Researcher | 28 | 15% |
| Student > Master | 22 | 12% |
| Student > Bachelor | 14 | 7% |
| Professor | 12 | 6% |
| Other | 37 | 20% |
| Unknown | 28 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 111 | 59% |
| Biochemistry, Genetics and Molecular Biology | 28 | 15% |
| Environmental Science | 5 | 3% |
| Computer Science | 2 | 1% |
| Engineering | 2 | 1% |
| Other | 7 | 4% |
| Unknown | 33 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 May 2018.
All research outputs
#3,742,288
of 22,846,662 outputs
Outputs from Nature
#51,770
of 90,964 outputs
Outputs of similar age
#2,264
of 22,517 outputs
Outputs of similar age from Nature
#60
of 184 outputs
Altmetric has tracked 22,846,662 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 90,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 99.4. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 22,517 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 184 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.