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CGD:一个用于基因组和生物学研究的多组学数据库。

CGD: a multi-omics database for genomic and biological research.

作者信息

Ye Jingxuan, Wang Chun, Liu Ye, Chen Shaocong, Jin Jinyu, Zhang Lingling, Liu Peixue, Tang Jing, Zhang Jing, Wang Zhenxing, Jiang Jiafu, Chen Sumei, Chen Fadi, Song Aiping

机构信息

State Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Sanya Institute of Nanjing Agricultural University, Key Laboratory of Landscaping, Ministry of Agriculture and Rural Affairs, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration. College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China.

Zhongshan Biological Breeding Laboratory, No.50 Zhongling Street, Nanjing 210014, China.

出版信息

Hortic Res. 2024 Aug 21;11(11):uhae238. doi: 10.1093/hr/uhae238. eCollection 2024 Nov.

DOI:10.1093/hr/uhae238
PMID:39512782
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11541226/
Abstract

Asteraceae is the largest family of dicotyledons and includes and , two important genera of ornamental plants. The genus consists of more than 30 species and contains many economically important ornamental, medicinal, and industrial plants. To more effectively promote research, we constructed the CGD, a genome database containing a large amount of data and useful tools. The CGD hosts well-assembled reference genome data for six species. These genomic data were fully annotated by comparison with various protein and domain data. Transcriptome data for nine different tissues, five flower developmental stages, and five treatments were subsequently added to the CGD. A fully functional 'RNA data' module was designed to provide complete and visual expression profile data. In addition, the CGD also provides many of the latest bioinformatics analysis tools, such as the efficient sgRNA search tool for . In conclusion, the CGD provides the latest, richest, and most complete multi-omics resources and powerful tools for . Collectively, the CGD will become the central gateway for genomics and genetic breeding research and will aid in the study of polyploid evolution.

摘要

菊科是双子叶植物中最大的科,包括菊属(Chrysanthemum)和翠菊属(Callistephus),这两个都是重要的观赏植物属。菊属由30多个物种组成,包含许多具有重要经济价值的观赏、药用和工业植物。为了更有效地促进菊属研究,我们构建了菊花基因组数据库(CGD),这是一个包含大量数据和有用工具的菊花基因组数据库。CGD拥有六个菊花物种组装良好的参考基因组数据。这些基因组数据通过与各种蛋白质和结构域数据进行比较得到了充分注释。随后,九个不同组织、五个花发育阶段和五种处理的转录组数据被添加到CGD中。设计了一个功能齐全的“RNA数据”模块,以提供完整且可视化的表达谱数据。此外,CGD还提供了许多最新的生物信息学分析工具,例如用于菊花的高效sgRNA搜索工具。总之,CGD为菊花提供了最新、最丰富、最完整的多组学资源和强大工具。总体而言,CGD将成为菊花基因组学和遗传育种研究的核心门户,并将有助于多倍体进化的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/879f/11541226/da4d311eb146/uhae238f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/879f/11541226/d5d0ede6f906/uhae238f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/879f/11541226/245ef4ccf379/uhae238f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/879f/11541226/1a5d6d9a7db9/uhae238f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/879f/11541226/da4d311eb146/uhae238f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/879f/11541226/d5d0ede6f906/uhae238f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/879f/11541226/245ef4ccf379/uhae238f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/879f/11541226/1a5d6d9a7db9/uhae238f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/879f/11541226/da4d311eb146/uhae238f4.jpg

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