Year: 2019
Type: article
Abstract: Circular RNA (circRNAs) may mediate mRNA expression as miRNA sponge. Since the community has paid more attention on circRNAs, a lot of circRNA databases have been developed for plant. However, a comprehensive collection of circRNAs in crop response to abiotic stress is still lacking. In this work, we applied a big-data approach to take full advantage of large-scale sequencing data, and developed a rich circRNA resource: CropCircDB for maize and rice, later extending to incorporate more crop species. We also designed a metric: stress detections score, which is specifically for detecting circRNAs under stress condition. In summary, we systematically investigated 244 and 288 RNA-Seq samples for maize and rice, respectively, and found 38 785 circRNAs in maize, and 63 048 circRNAs in rice. This resource not only supports user-friendly JBrowser to visualize genome easily, but also provides elegant view of circRNA structures and dynamic profiles of circRNA expression in all samples. Together, this database will host all predicted and validated crop circRNAs response to abiotic stress.
Source: Database
Authors: Kai Wang, Chong Wang, Baohuan Guo, Kun Song, Chuanhong Shi, Xin Jiang, Keyi Wang, Yacong Tan, Lequn Wang, Lin Wang, Jiangjiao Li, Ying Li, Yu Cai, Hongwei Zhao, Xiaoyong Sun
Language: English
Topic: Circular RNAs in diseases
Subfield: Molecular Biology
Domain: Life Sciences
SDG: Zero hunger
Open Access status: gold
Estimated APC paid: $2,729
Awards: G1254219105, G4416222621, G5844342392
OpenAlex ID: W2944752862