ArticleBMC plant biology2021
TeaAS: a comprehensive database for alternative splicing in tea plants (Camellia sinensis).
Article in BMC plant biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 20 citations in OpenAlex.
- Genome-wide identification of the AP2/ERF gene family and its alternative splicing to reveal their expression profiles in different tissues of Rosa roxburghii.BMC plant biology · 2026Article
- Comprehensive analysis of alternative splicing inFrontiers in plant science · 2025Article
- A geraniol synthase regulates plant defense via alternative splicing in tea plants.Horticulture research · 2023Article
- RNA Methylome Reveals the mGenomics, proteomics & bioinformatics · 2023Article
- PlaASDB: a comprehensive database of plant alternative splicing events in response to stress.BMC plant biology · 2023Article
- TeaPVs: a comprehensive genomic variation database for tea plant (Camellia sinensis).BMC plant biology · 2022Article
- TeaGVD: A comprehensive database of genomic variations for uncovering the genetic architecture of metabolic traits in tea plants.Frontiers in plant science · 2022Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
Alternative splicing (AS) increases the diversity of transcripts and proteins through the selection of different splice sites and plays an important role in the growth, development and stress tolerance of plants. With the release of the reference genome of the tea plant (Camellia sinensis) and the development of transcriptome sequencing, researchers have reported the existence of AS in tea plants. However, there is a lack of a platform, centered on different RNA-seq datasets, that provides comprehensive information on AS.To facilitate access to information on AS and reveal the molecular function of AS in tea plants, we established the first comprehensive AS database for tea plants (TeaAS, http://www.teaas.cn/index.php ). In this study, 3.96 Tb reads from 66 different RNA-seq datasets were collected to identify AS events. TeaAS supports four methods of retrieval of AS information based on gene ID, gene name, annotation (non-redundant/Kyoto encyclopedia of genes and genomes/gene ontology annotation or chromosomal location) and RNA-seq data. It integrates data pertaining to genome annotation, type of AS event, transcript sequence, and isoforms expression levels from 66 RNA-seq datasets. The AS events resulting from different environmental conditions and that occurring in varied tissue types, and the expression levels of specific transcripts can be clearly identified through this online database. Moreover, it also provides two useful tools, Basic Local Alignment Search Tool and Generic Genome Browser, for sequence alignment and visualization of gene structure.The features of the TeaAS database make it a comprehensive AS bioinformatics platform for researchers, as well as a reference for studying AS events in woody crops. It could also be helpful for revealing the novel biological functions of AS in gene regulation in tea plants.
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