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An integrative 3D-genome database for plants.

Qihang Yang1, Tong Wu2, Mengyang Liu1

  • 1State Key Laboratory of North China Crop Improvement and Regulation, Hebei International Research Center of Vegetable Functional Genomics, College of Horticulture, Hebei Agricultural University, Baoding 071000, China.

Plant Communications
|May 1, 2025
PubMed
Summary
This summary is machine-generated.

We created 3D-GDP, a plant 3D-genome database, to compare genome structures across species. This resource aids in understanding gene regulation and evolutionary conservation of three-dimensional genome organization.

Keywords:
3D genome sequencesHi-Cchromatin structuredatabaseplant comparative genomicsplatform

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Area of Science:

  • Genomics
  • Bioinformatics
  • Plant Biology

Background:

  • High-throughput sequencing has advanced 3D genome structure studies, revealing complex gene regulation mechanisms in eukaryotes.
  • Analyzing and comparing 3D genome structures across species is crucial for understanding genome evolution and function.

Purpose of the Study:

  • To develop and present 3D-GDP, an integrated database for plant 3D genome analysis and interspecies comparison.
  • To provide a platform for exploring conserved 3D genome structures and their role in gene regulation.

Main Methods:

  • Compiled publicly available plant 3D genome sequences for 26 species.
  • Integrated data on topologically associating domains (TADs), loops, compartments, and gene annotations.
  • Developed bioinformatic tools including a genome browser, TAD function prediction, and comparative analysis modules.

Main Results:

  • 3D-GDP offers detailed comparative analyses of 3D genome structures across 26 plant species.
  • The database facilitates identification of conserved TADs and loop structures.
  • Provides insights into the evolutionary conservation of 3D genome organization and its impact on gene regulation.

Conclusions:

  • 3D-GDP is a valuable resource for plant functional genomics and evolutionary studies.
  • The platform enables systematic comparison of chromatin structures, aiding in the discovery of conserved regulatory elements.
  • This database supports research into the relationship between 3D genome architecture and genome-wide gene regulation in plants.