PlaASDB: a comprehensive database of plant alternative splicing events in response to stress

被引:6
|
作者
Guo, Xiaokun [1 ]
Wang, Tianpeng [1 ]
Jiang, Linyang [1 ]
Qi, Huan [2 ]
Zhang, Ziding [1 ]
机构
[1] China Agr Univ, Coll Biol Sci, State Key Lab Farm Anim Biotech Breeding, Beijing 100193, Peoples R China
[2] Chinese Acad Sci, Inst Genet & Dev Biol, State Key Lab Mol Dev Biol, Beijing 100101, Peoples R China
基金
中国国家自然科学基金;
关键词
Plant; Alternative splicing; RNA-Seq data; Stress response; Arabidopsis; Rice; NONSENSE-MEDIATED DECAY; TRANSCRIPTOME; COMPLEXITY; LANDSCAPE;
D O I
10.1186/s12870-023-04234-7
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Background Alternative splicing (AS) is a co-transcriptional regulatory mechanism of plants in response to environmental stress. However, the role of AS in biotic and abiotic stress responses remains largely unknown. To speed up our understanding of plant AS patterns under different stress responses, development of informative and comprehensive plant AS databases is highly demanded. Description In this study, we first collected 3,255 RNA-seq data under biotic and abiotic stresses from two important model plants (Arabidopsis and rice). Then, we conducted AS event detection and gene expression analysis, and established a user-friendly plant AS database termed PlaASDB. By using representative samples from this highly integrated database resource, we compared AS patterns between Arabidopsis and rice under abiotic and biotic stresses, and further investigated the corresponding difference between AS and gene expression. Specifically, we found that differentially spliced genes (DSGs) and differentially expressed genes (DEG) share very limited overlapping under all kinds of stresses, suggesting that gene expression regulation and AS seemed to play independent roles in response to stresses. Compared with gene expression, Arabidopsis and rice were more inclined to have conserved AS patterns under stress conditions. Conclusion PlaASDB is a comprehensive plant-specific AS database that mainly integrates the AS and gene expression data of Arabidopsis and rice in stress response. Through large-scale comparative analyses, the global landscape of AS events in Arabidopsis and rice was observed. We believe that PlaASDB could help researchers understand the regulatory mechanisms of AS in plants under stresses more conveniently. PlaASDB is freely accessible at http://zzdlab. com/PlaASDB/ASDB/index. html.
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页数:10
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