| Title |
Comparative RNA-Seq analysis on the regulation of cucumber sex differentiation under different ratios of blue and red light
|
|---|---|
| Published in |
Botanical Studies, September 2018
|
| DOI | 10.1186/s40529-018-0237-7 |
| Pubmed ID | |
| Authors |
Jiali Song, Yiting Zhang, Shiwei Song, Wei Su, Riyuan Chen, Guangwen Sun, Yanwei Hao, Houcheng Liu |
| Abstract |
Cucumber (Cucumis sativus L.) is a typical monoecism vegetable with individual male and female flowers, which has been used as a plant model for sex determination. It is well known that light is one of the most important environmental stimuli, which control the timing of the transition from vegetative growth to reproductive development. However, whether light controls sex determination remains elusive. To unravel this problem, we performed high-throughput RNA-Seq analyses, which compared the transcriptomes of shoot apices between R2B1(Red light:Blue light = 2:1)-treated and R4B1(Red light:Blue light = 4:1)-treated cucumber seedlings. Results showed that the higher proportion of blue light in the R2B1 treatment significantly induced the formation of female flowers and accelerated female flowering time in this whole study. The genes related to flowering time, such as flowering locus T (FT) and SUPPRESSOR OF OVEREXPRESSION OF CO1 (SOC1), were up-regulated after R2B1 treatment. Furthermore, the transcriptome analysis showed that up-regulation and down-regulation of specific DEGs (the differentially expressed genes) were primarily the result of plant hormone signal transduction after treatments. The specific DEGs related with auxin formed the highest percentage of DEGs in the plant hormone signal transduction. In addition, the expression levels of transcription factors also changed after R2B1 treatment. Thus, sex differentiation affected by light quality might be induced by plant hormone signal transduction and transcription factors. These results provide a theoretical basis for further investigation of the regulatory mechanism of female flower formation under different light qualities in cucumber seedlings. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 18% |
| Student > Ph. D. Student | 2 | 12% |
| Professor | 1 | 6% |
| Other | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 8 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 35% |
| Environmental Science | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Chemistry | 1 | 6% |
| Unknown | 8 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 18 October 2018.
All research outputs
#16,053,755
of 25,385,509 outputs
Outputs from Botanical Studies
#76
of 188 outputs
Outputs of similar age
#200,017
of 347,461 outputs
Outputs of similar age from Botanical Studies
#1
of 3 outputs
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