Title |
SKIP controls flowering time via the alternative splicing of SEF pre-mRNA in Arabidopsis
|
---|---|
Published in |
BMC Biology, September 2017
|
DOI | 10.1186/s12915-017-0422-2 |
Pubmed ID | |
Authors |
Zhibo Cui, Aizi Tong, Yiqiong Huo, Zhiqiang Yan, Weiqi Yang, Xianli Yang, Xiao-Xue Wang |
Abstract |
Similar to other eukaryotes, splicing is emerging as an important process affecting development and stress tolerance in plants. Ski-interacting protein (SKIP), a splicing factor, is essential for circadian clock function and abiotic stress tolerance; however, the mechanisms whereby it regulates flowering time are unknown. In this study, we found that SKIP is required for the splicing of serrated leaves and early flowering (SEF) pre-messenger RNA (mRNA), which encodes a component of the ATP-dependent SWR1 chromatin remodeling complex (SWR1-C). Defects in the splicing of SEF pre-mRNA reduced H2A.Z enrichment at FLC, MAF4, and MAF5, suppressed the expression of these genes, and produced an early flowering phenotype in skip-1 plants. Our findings indicate that SKIP regulates SWR1-C function via alternative splicing to control the floral transition in Arabidopsis thaliana. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 17% |
Canada | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 50% |
Science communicators (journalists, bloggers, editors) | 2 | 33% |
Scientists | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 21% |
Student > Ph. D. Student | 7 | 15% |
Student > Bachelor | 5 | 10% |
Student > Doctoral Student | 4 | 8% |
Student > Master | 4 | 8% |
Other | 6 | 13% |
Unknown | 12 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 17 | 35% |
Biochemistry, Genetics and Molecular Biology | 16 | 33% |
Medicine and Dentistry | 1 | 2% |
Engineering | 1 | 2% |
Unknown | 13 | 27% |