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Mendeley readers
Attention Score in Context
| Title |
Genome-wide analysis, molecular cloning and expression profiling reveal tissue-specifically expressed, feedback-regulated, stress-responsive and alternatively spliced novel genes involved in gibberellin metabolism in Salvia miltiorrhiza
|
|---|---|
| Published in |
BMC Genomics, December 2015
|
| DOI | 10.1186/s12864-015-2315-5 |
| Pubmed ID | |
| Authors |
Qing Du, Caili Li, Dongqiao Li, Shanfa Lu |
| Abstract |
Gibberellin (GA), a classical phytohormone, plays significant roles in plant growth and development. It shares the important intermediate diphosphate precursor, GGPP, with the main lipophilic bioactive components, diterpenoid tanshinones in Salvia miltiorrhiza Bunge, one of the most important Traditional Chinese Medicine materials and an emerging model medicinal plant. Analysis of GA metabolism and regulation may help to demonstrate the biological functions of GAs and the crosstalk between GA metabolism and tanshinone biosynthesis in S. miltiorrhiza. However, genes involved in the conversion of ent-kaurene to GAs have not been systematically studied. Through genome-wide prediction and molecular cloning, twenty two candidate gibberellin metabolism pathway genes were systematically identified for the first time. It includes a SmKO, two SmKAOs, six SmGA20oxs, two SmGA3oxs and eleven SmGA2oxs, of which twenty genes are novel. The deduced proteins showed sequence conservation and divergence. Gibberellin metabolism pathway genes exhibited tissue-specific expression patterns and responded differentially to exogenous GA3 treatment, indicating differential regulation of gibberellin metabolism in different tissue types in S. miltiorrhiza. SmKAO1, SmKAO2, SmGA2ox2, and SmGA2ox4-SmGA2ox7 were significantly up-regulated; SmGA20ox2, SmGA3ox1, SmGA2ox1, SmGA2ox8, SmGA2ox10 and SmGA2ox11 were significantly down-regulated; while the responses of many other genes varied among different tissue-types and time-points of GA3 treatment, suggesting the complexity of feedback regulation. Tanshinone biosynthesis-related genes, such as SmCPS1 and SmKSL1, were up-regulated in response to GA3 treatment. Among the 22 identified genes, nine responded to yeast extract and Ag(+)-treatment in S. miltiorrhiza hairy roots. Moreover, tissue-specifically expressed splice variants were identified for SmKO, SmGA20ox3, SmGA2ox3 and SmGA2ox11, of which SmKOv1, SmGA20ox3v and SmGA2ox11v1 were GA3-responsive, suggesting the importance of alternative splicing in regulating GA metabolism. The results show tissue-specifically expressed, feedback-regulated, stress-responsive and alternatively spliced novel genes and reveal multiple layer regulation of GA metabolism and crosstalk between gibberellin metabolism and tanshinone biosynthesis in S. miltiorrhiza. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Serbia | 1 | 5% |
| Unknown | 20 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 33% |
| Researcher | 4 | 19% |
| Student > Master | 4 | 19% |
| Student > Doctoral Student | 2 | 10% |
| Lecturer | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 62% |
| Biochemistry, Genetics and Molecular Biology | 4 | 19% |
| Unknown | 4 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 23 December 2015.
All research outputs
#17,779,578
of 22,836,570 outputs
Outputs from BMC Genomics
#7,569
of 10,655 outputs
Outputs of similar age
#264,595
of 389,451 outputs
Outputs of similar age from BMC Genomics
#266
of 324 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,655 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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