PPGR: a comprehensive perennial plant genomes and regulation database

Abstract Perennial woody plants hold vital ecological significance, distinguished by their unique traits. While significant progress has been made in their genomic and functional studies, a major challenge persists: the absence of a comprehensive reference platform for collection, integration and in...

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Veröffentlicht in:Nucleic acids research 2024-01, Vol.52 (D1), p.D1588-D1596
Hauptverfasser: Yang, Sen, Zong, Wenting, Shi, Lingling, Li, Ruisi, Ma, Zhenshu, Ma, Shubao, Si, Jingna, Wu, Zhijing, Zhai, Jinglan, Ma, Yingke, Fan, Zhuojing, Chen, Sisi, Huang, Huahong, Zhang, Deqiang, Bao, Yiming, Li, Rujiao, Xie, Jianbo
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Sprache:eng
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Zusammenfassung:Abstract Perennial woody plants hold vital ecological significance, distinguished by their unique traits. While significant progress has been made in their genomic and functional studies, a major challenge persists: the absence of a comprehensive reference platform for collection, integration and in-depth analysis of the vast amount of data. Here, we present PPGR (Resource for Perennial Plant Genomes and Regulation; https://ngdc.cncb.ac.cn/ppgr/) to address this critical gap, by collecting, integrating, analyzing and visualizing genomic, gene regulation and functional data of perennial plants. PPGR currently includes 60 species, 847 million protein–protein/TF (transcription factor)-target interactions, 9016 transcriptome samples under various environmental conditions and genetic backgrounds. Noteworthy is the focus on genes that regulate wood production, seasonal dormancy, terpene biosynthesis and leaf senescence representing a wealth of information derived from experimental data, literature mining, public databases and genomic predictions. Furthermore, PPGR incorporates a range of multi-omics search and analysis tools to facilitate browsing and application of these extensive datasets. PPGR represents a comprehensive and high-quality resource for perennial plants, substantiated by an illustrative case study that demonstrates its capacity in unraveling gene functions and shedding light on potential regulatory processes. Graphical Abstract Graphical Abstract
ISSN:0305-1048
1362-4962
DOI:10.1093/nar/gkad963