ArticleBMC genomics2020
TeaCoN: a database of gene co-expression network for tea plant (Camellia sinensis).
Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Multi-omics analysis reveals the regulatory mechanism of shading on quality-related metabolites inFood chemistry. Molecular sciences · 2025Article
- Pangenome analysis of transposable element insertion polymorphisms reveals features underlying cold tolerance in rice.Nature communications · 2025Article
- A method for mining condition-specific co-expressed genes in Camellia sinensis based on k-means clustering.BMC plant biology · 2024Article
- Genome-wide characterization of COMT family and regulatory role of CsCOMT19 in melatonin synthesis in Camellia sinensis.BMC plant biology · 2024Article
- Teabase: A comprehensive omics database of Camellia.Plant communications · 2023Article
- TeaPVs: a comprehensive genomic variation database for tea plant (Camellia sinensis).BMC plant biology · 2022Article
- MTAGCN: predicting miRNA-target associations in Camellia sinensis var. assamica through graph convolution neural network.BMC bioinformatics · 2022Article
- Gene Co-Expression Network Tools and Databases for Crop Improvement.Plants (Basel, Switzerland) · 2022Review
- TeaGVD: A comprehensive database of genomic variations for uncovering the genetic architecture of metabolic traits in tea plants.Frontiers in plant science · 2022Article
- Using weighted gene co-expression network analysis (WGCNA) to identify the hub genes related to hypoxic adaptation in yak (Bos grunniens).Genes & genomics · 2021Article
- TeaAS: a comprehensive database for alternative splicing in tea plants (Camellia sinensis).BMC plant biology · 2021Article
- In-silico genome wide analysis of Mitogen activated protein kinase kinase kinase gene family in C. sinensis.PloS one · 2021Article
- Integrated Metabolome and Transcriptome Analyses Reveal Etiolation-Induced Metabolic Changes Leading to High Amino Acid Contents in a Light-Sensitive Japanese Albino Tea Cultivar.Frontiers in plant science · 2020Article
- Time-series transcriptomic analysis reveals novel gene modules that control theanine biosynthesis in tea plant (Camellia sinensis).PloS one · 2020Article
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Authors and funding
11 authors.
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Abstract
backgroundTea plant (Camellia sinensis) is one of the world's most important beverage crops due to its numerous secondary metabolites conferring tea quality and health effects. However, only a small fraction of tea genes (especially for those metabolite-related genes) have been functionally characterized to date. A cohesive bioinformatics platform is thus urgently needed to aid in the functional determination of the remaining genes. DESCRIPTION: TeaCoN, a database of gene co-expression network for tea plant, was established to provide genome-wide associations in gene co-expression to survey gene modules (i.e., co-expressed gene sets) for a function of interest. TeaCoN featured a comprehensive collection of 261 high-quality RNA-Seq experiments that covered a wide range of tea tissues as well as various treatments for tea plant. In the current version of TeaCoN, 31,968 (94% coverage of the genome) tea gene models were documented. Users can retrieve detailed co-expression information for gene(s) of interest in four aspects: 1) co-expressed genes with the corresponding Pearson correlation coefficients (PCC-values) and statistical P-values, 2) gene information (gene ID, description, symbol, alias, chromosomal location, GO and KEGG annotation), 3) expression profile heatmap of co-expressed genes across seven main tea tissues (e.g., leaf, bud, stem, root), and 4) network visualization of co-expressed genes. We also implemented a gene co-expression analysis, BLAST search function, GO and KEGG enrichment analysis, and genome browser to facilitate use of the database.
conclusionThe TeaCoN project can serve as a beneficial platform for candidate gene screening and functional exploration of important agronomical traits in tea plant. TeaCoN is freely available at http://teacon.wchoda.com .
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