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GERDH: an interactive multi-omics database for cross-species data mining in horticultural crops.

Hua Cheng1,2,3,4,5,6, Hua Zhang1,2,3,4,5,6, Jing Song1,2,3,4,5,6

  • 1National Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing, 210095, China.

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|June 13, 2023
PubMed
Summary

GERDH is a new database for horticultural plants, enabling cross-species data mining of omics data to identify conserved genes. This resource aids in understanding plant growth and development for improved crop traits.

Keywords:
cross-species analysisenrichment/pathwaygene expressionhorticultural cropsinteractive web-based data analysisphylogenetic analysis

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Area of Science:

  • Plant Science
  • Bioinformatics
  • Genomics

Background:

  • Horticultural plants are vital for human life, generating vast amounts of omics data.
  • Conserved genes are crucial for growth and development, but cross-species analysis is hindered by data fragmentation.
  • Existing resources for cross-species omics data mining in horticultural plants are insufficient.

Purpose of the Study:

  • To introduce GERDH, a comprehensive database platform for cross-species omics data mining in horticultural plants.
  • To facilitate the identification of conserved genes essential for plant growth and development.
  • To provide accessible tools for analyzing big omics data in the horticultural community.

Main Methods:

  • Compiled and uniformly processed 12,961 omics libraries from over 150 horticultural plant accessions.
  • Developed a cross-species analysis module with interactive web-based data analysis and visualization.
  • Integrated seven online analysis tools including gene expression, in-species analysis, and phylogenetic analysis.

Main Results:

  • Identified key genes related to postharvest storage through interactive cross-species analysis.
  • Discovered new functions of CmEIN3 in flower development using gene expression analysis.
  • Validated findings through transgenic chrysanthemum analysis, demonstrating the utility of GERDH.

Conclusions:

  • GERDH serves as a valuable resource for identifying key genes in horticultural plants.
  • The platform enhances the accessibility and usability of big omics data for researchers.
  • GERDH supports advancements in understanding and improving horticultural plant traits.