CGD: a multi-omics database for <i>Chrysanthemum</i> genomic and biological research

Asteraceae is the largest family of dicotyledons and includes <i>Chrysanthemum</i> and <i>Helianthus</i>, two important genera of ornamental plants. The genus <i>Chrysanthemum</i> consists of more than 30 species and contains many economically important ornamental, medicinal, and industrial plants. To more effectively promote <i>Chrysanthemum</i> research, we constructed the CGD, a <i>Chrysanthemum</i> genome database containing a large amount of data and useful tools. The CGD hosts well-assembled reference genome data for six <i>Chrysanthemum</i> 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 <i>Chrysanthemum</i>. In conclusion, the CGD provides the latest, richest, and most complete multi-omics resources and powerful tools for <i>Chrysanthemum</i>. Collectively, the CGD will become the central gateway for <i>Chrysanthemum</i> genomics and genetic breeding research and will aid in the study of polyploid evolution.

Authors

Institutions

Publication Details

Journal
Horticulture Research
Published
2024-08-21
DOI
https://doi.org/10.1093/hr/uhae238
Citations
9
Primary Topic
Plant Gene Expression Analysis
Type
article
Field-Weighted Citation Impact
2.10

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Jingxuan Ye, Jinyu Jin, Jing Zhang, Peixue Liu et al.
9 citations
Horticulture Research
Plant Gene Expression Analysis
2.10
article

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

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

Abstract

Asteraceae is the largest family of dicotyledons and includes <i>Chrysanthemum</i> and <i>Helianthus</i>, two important genera of ornamental plants. The genus <i>Chrysanthemum</i> consists of more than 30 species and contains many economically important ornamental, medicinal, and industrial plants. To more effectively promote <i>Chrysanthemum</i> research, we constructed the CGD, a <i>Chrysanthemum</i> genome database containing a large amount of data and useful tools. The CGD hosts well-assembled reference genome data for six <i>Chrysanthemum</i> 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 <i>Chrysanthemum</i>. In conclusion, the CGD provides the latest, richest, and most complete multi-omics resources and powerful tools for <i>Chrysanthemum</i>. Collectively, the CGD will become the central gateway for <i>Chrysanthemum</i> genomics and genetic breeding research and will aid in the study of polyploid evolution.

Horticulture ResearchVol. 11(11)
Nanjing Agricultural University (CN), Ministry of Agriculture (EE), Zhongshan Hospital (CN), Ministry of Agriculture and Rural Affairs (CN)
National Natural Science Foundation of China, Government of Jiangsu Province
Openalex Percentile: Top 13%
Plant Gene Expression Analysis
2.10
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.