• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

茶联网(TeaCoN):茶树(Camellia sinensis)基因共表达网络数据库。

TeaCoN: a database of gene co-expression network for tea plant (Camellia sinensis).

机构信息

School of Information and Computer, Anhui Agricultural University, Hefei, China.

School of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei, China.

出版信息

BMC Genomics. 2020 Jul 3;21(1):461. doi: 10.1186/s12864-020-06839-w.

DOI:10.1186/s12864-020-06839-w
PMID:32620074
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7333269/
Abstract

BACKGROUND

Tea 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.

CONCLUSION

The 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 .

摘要

背景

由于茶叶中具有多种次生代谢产物,赋予了茶叶品质和健康功效,因此茶树(Camellia sinensis)是世界上最重要的饮料作物之一。然而,迄今为止,仅有一小部分茶叶基因(特别是那些与代谢产物相关的基因)具有功能特征。因此,迫切需要一个整合的生物信息学平台来辅助其余基因的功能确定。

描述

TeaCoN 是一个茶树基因共表达网络数据库,旨在提供全基因组基因共表达关联,以调查与特定功能相关的基因模块(即共表达基因集)。TeaCoN 包含了广泛的茶树组织以及各种茶树处理的 261 个高质量 RNA-Seq 实验的综合集合。在 TeaCoN 的当前版本中,记录了 31,968 个(基因组覆盖率为 94%)茶叶基因模型。用户可以从四个方面检索感兴趣基因的详细共表达信息:1)具有相应皮尔逊相关系数(PCC 值)和统计 P 值的共表达基因,2)基因信息(基因 ID、描述、符号、别名、染色体位置、GO 和 KEGG 注释),3)七个主要茶叶组织(如叶、芽、茎、根)中表达谱的共表达基因热图,以及 4)共表达基因的网络可视化。我们还实现了基因共表达分析、BLAST 搜索功能、GO 和 KEGG 富集分析以及基因组浏览器,以方便数据库的使用。

结论

TeaCoN 项目可以作为一个有益的平台,用于筛选茶树重要农艺性状的候选基因和功能探索。TeaCoN 可免费在 http://teacon.wchoda.com 获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f364/7333269/ae49df699e57/12864_2020_6839_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f364/7333269/26f010f1032a/12864_2020_6839_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f364/7333269/b36b125aec55/12864_2020_6839_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f364/7333269/f769b0e0b8e1/12864_2020_6839_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f364/7333269/ca48fe573410/12864_2020_6839_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f364/7333269/ae49df699e57/12864_2020_6839_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f364/7333269/26f010f1032a/12864_2020_6839_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f364/7333269/b36b125aec55/12864_2020_6839_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f364/7333269/f769b0e0b8e1/12864_2020_6839_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f364/7333269/ca48fe573410/12864_2020_6839_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f364/7333269/ae49df699e57/12864_2020_6839_Fig5_HTML.jpg

相似文献

1
TeaCoN: a database of gene co-expression network for tea plant (Camellia sinensis).茶联网(TeaCoN):茶树(Camellia sinensis)基因共表达网络数据库。
BMC Genomics. 2020 Jul 3;21(1):461. doi: 10.1186/s12864-020-06839-w.
2
A method for mining condition-specific co-expressed genes in Camellia sinensis based on k-means clustering.基于 K 均值聚类的茶树条件特异性共表达基因挖掘方法。
BMC Plant Biol. 2024 May 8;24(1):373. doi: 10.1186/s12870-024-05086-5.
3
Gene co-expression network analysis reveals coordinated regulation of three characteristic secondary biosynthetic pathways in tea plant (Camellia sinensis).基因共表达网络分析揭示了茶树(Camellia sinensis)中三个特征次生生物合成途径的协调调控。
BMC Genomics. 2018 Aug 15;19(1):616. doi: 10.1186/s12864-018-4999-9.
4
TeaAS: a comprehensive database for alternative splicing in tea plants (Camellia sinensis).茶 AS:茶树(Camellia sinensis)中可变剪接的综合数据库。
BMC Plant Biol. 2021 Jun 21;21(1):280. doi: 10.1186/s12870-021-03065-8.
5
Genome-wide identification of conserved and novel microRNAs in one bud and two tender leaves of tea plant (Camellia sinensis) by small RNA sequencing, microarray-based hybridization and genome survey scaffold sequences.通过小 RNA 测序、基于微阵列杂交和基因组调查支架序列,在茶树(Camellia sinensis)的一个芽和两片嫩叶中进行全基因组保守和新型 microRNA 的鉴定。
BMC Plant Biol. 2017 Nov 21;17(1):212. doi: 10.1186/s12870-017-1169-1.
6
A predicted protein functional network aids in novel gene mining for characteristic secondary metabolites in tea plant .预测蛋白功能网络有助于挖掘茶树特征性次生代谢物的新基因。
J Biosci. 2020;45.
7
Global transcriptome and gene regulation network for secondary metabolite biosynthesis of tea plant (Camellia sinensis).茶树(Camellia sinensis)次生代谢产物生物合成的全球转录组和基因调控网络。
BMC Genomics. 2015 Jul 29;16(1):560. doi: 10.1186/s12864-015-1773-0.
8
Integrated RNA-Seq and sRNA-Seq Analysis Identifies Chilling and Freezing Responsive Key Molecular Players and Pathways in Tea Plant (Camellia sinensis).整合RNA测序和小RNA测序分析鉴定茶树中响应低温和冻害的关键分子及途径
PLoS One. 2015 Apr 22;10(4):e0125031. doi: 10.1371/journal.pone.0125031. eCollection 2015.
9
Construction and analysis of an interologous protein-protein interaction network of Camellia sinensis leaf (TeaLIPIN) from RNA-Seq data sets.利用 RNA-Seq 数据集构建和分析茶树叶片(TeaLIPIN)的种间蛋白质-蛋白质相互作用网络。
Plant Cell Rep. 2019 Oct;38(10):1249-1262. doi: 10.1007/s00299-019-02440-y. Epub 2019 Jun 13.
10
Time-series transcriptomic analysis reveals novel gene modules that control theanine biosynthesis in tea plant (Camellia sinensis).时间序列转录组分析揭示了控制茶树(Camellia sinensis)茶氨酸生物合成的新型基因模块。
PLoS One. 2020 Sep 10;15(9):e0238175. doi: 10.1371/journal.pone.0238175. eCollection 2020.

引用本文的文献

1
Pangenome analysis of transposable element insertion polymorphisms reveals features underlying cold tolerance in rice.转座元件插入多态性的泛基因组分析揭示了水稻耐寒性的潜在特征。
Nat Commun. 2025 Aug 16;16(1):7634. doi: 10.1038/s41467-025-62887-4.
2
A method for mining condition-specific co-expressed genes in Camellia sinensis based on k-means clustering.基于 K 均值聚类的茶树条件特异性共表达基因挖掘方法。
BMC Plant Biol. 2024 May 8;24(1):373. doi: 10.1186/s12870-024-05086-5.
3
Genome-wide characterization of COMT family and regulatory role of CsCOMT19 in melatonin synthesis in Camellia sinensis.

本文引用的文献

1
A Sucrose-Induced MYB (SIMYB) Transcription Factor Promoting Proanthocyanidin Accumulation in the Tea Plant ( Camellia sinensis).一个蔗糖诱导的 MYB(SIMYB)转录因子促进茶树(Camellia sinensis)原花青素积累。
J Agric Food Chem. 2019 Feb 6;67(5):1418-1428. doi: 10.1021/acs.jafc.8b06207. Epub 2019 Jan 28.
2
Two MYB transcription factors (CsMYB2 and CsMYB26) are involved in flavonoid biosynthesis in tea plant [Camellia sinensis (L.) O. Kuntze].两个 MYB 转录因子(CsMYB2 和 CsMYB26)参与茶树 [Camellia sinensis (L.) O. Kuntze] 中类黄酮的生物合成。
BMC Plant Biol. 2018 Nov 20;18(1):288. doi: 10.1186/s12870-018-1502-3.
3
全基因组鉴定 COMT 家族和 CsCOMT19 对茶树褪黑素合成的调控作用。
BMC Plant Biol. 2024 Jan 16;24(1):51. doi: 10.1186/s12870-023-04702-0.
4
Teabase: A comprehensive omics database of Camellia.茶数据库:一个全面的山茶属组学数据库。
Plant Commun. 2023 Sep 11;4(5):100664. doi: 10.1016/j.xplc.2023.100664. Epub 2023 Jul 25.
5
TeaGVD: A comprehensive database of genomic variations for uncovering the genetic architecture of metabolic traits in tea plants.茶树基因组变异数据库(TeaGVD):一个用于揭示茶树代谢性状遗传结构的基因组变异综合数据库。
Front Plant Sci. 2022 Nov 28;13:1056891. doi: 10.3389/fpls.2022.1056891. eCollection 2022.
6
TeaPVs: a comprehensive genomic variation database for tea plant (Camellia sinensis).茶树基因组变异数据库 (TeaPVs):一个全面的茶树基因组变异数据库。
BMC Plant Biol. 2022 Nov 3;22(1):513. doi: 10.1186/s12870-022-03901-5.
7
MTAGCN: predicting miRNA-target associations in Camellia sinensis var. assamica through graph convolution neural network.MTAGCN:通过图卷积神经网络预测阿萨姆红茶 miRNA 靶标关联。
BMC Bioinformatics. 2022 Jul 11;23(1):271. doi: 10.1186/s12859-022-04819-3.
8
Gene Co-Expression Network Tools and Databases for Crop Improvement.用于作物改良的基因共表达网络工具和数据库
Plants (Basel). 2022 Jun 21;11(13):1625. doi: 10.3390/plants11131625.
9
In-silico genome wide analysis of Mitogen activated protein kinase kinase kinase gene family in C. sinensis.中华绒螯蟹丝氨酸/苏氨酸蛋白激酶激酶激酶基因家族的全基因组信息学分析。
PLoS One. 2021 Nov 4;16(11):e0258657. doi: 10.1371/journal.pone.0258657. eCollection 2021.
10
Using weighted gene co-expression network analysis (WGCNA) to identify the hub genes related to hypoxic adaptation in yak (Bos grunniens).采用加权基因共表达网络分析(WGCNA)鉴定与牦牛(Bos grunniens)低氧适应相关的枢纽基因。
Genes Genomics. 2021 Oct;43(10):1231-1246. doi: 10.1007/s13258-021-01137-5. Epub 2021 Aug 2.
Gene Discovery of Characteristic Metabolic Pathways in the Tea Plant () Using 'Omics'-Based Network Approaches: A Future Perspective.
基于“组学”网络方法的茶树特征代谢途径基因发现:未来展望
Front Plant Sci. 2018 Jun 4;9:480. doi: 10.3389/fpls.2018.00480. eCollection 2018.
4
Integrative Transcriptomic Analysis Uncovers Novel Gene Modules That Underlie the Sulfate Response in .整合转录组分析揭示了[具体生物]中硫酸盐反应背后的新型基因模块。 (你提供的原文最后缺少具体生物信息)
Front Plant Sci. 2018 Apr 10;9:470. doi: 10.3389/fpls.2018.00470. eCollection 2018.
5
Draft genome sequence of var. provides insights into the evolution of the tea genome and tea quality.变种的基因组草图序列为研究茶树基因组和茶叶品质的演化提供了线索。
Proc Natl Acad Sci U S A. 2018 May 1;115(18):E4151-E4158. doi: 10.1073/pnas.1719622115. Epub 2018 Apr 20.
6
Proteomic analysis of Camellia sinensis (L.) reveals a synergistic network in the response to drought stress and recovery.茶(Camellia sinensis (L.))蛋白质组分析揭示了干旱胁迫响应和恢复过程中的协同网络。
J Plant Physiol. 2017 Dec;219:91-99. doi: 10.1016/j.jplph.2017.10.001. Epub 2017 Oct 20.
7
LSTrAP: efficiently combining RNA sequencing data into co-expression networks.LSTrAP:将RNA测序数据高效整合到共表达网络中。
BMC Bioinformatics. 2017 Oct 10;18(1):444. doi: 10.1186/s12859-017-1861-z.
8
Functional Characterization of Tea () MYB4a Transcription Factor Using an Integrative Approach.基于综合方法对茶树()MYB4a转录因子的功能表征
Front Plant Sci. 2017 Jun 12;8:943. doi: 10.3389/fpls.2017.00943. eCollection 2017.
9
The Tea Tree Genome Provides Insights into Tea Flavor and Independent Evolution of Caffeine Biosynthesis.茶树基因组为茶叶风味和咖啡因生物合成的独立进化提供了线索。
Mol Plant. 2017 Jun 5;10(6):866-877. doi: 10.1016/j.molp.2017.04.002. Epub 2017 May 2.
10
Purple foliage coloration in tea (Camellia sinensis L.) arises from activation of the R2R3-MYB transcription factor CsAN1.茶叶(Camellia sinensis L.)中的紫色叶色是由 R2R3-MYB 转录因子 CsAN1 的激活引起的。
Sci Rep. 2016 Sep 1;6:32534. doi: 10.1038/srep32534.