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EDomics: a comprehensive and comparative multi-omics database for animal evo-devo.

Jiankai Wei1,2, Penghui Liu1, Fuyun Liu1

  • 1Sars-Fang Centre, MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao 266003, China.

Nucleic Acids Research
|November 1, 2022
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Summary
This summary is machine-generated.

A new database, EDomics, offers comprehensive multi-omics data for 40 animal species to advance evolutionary developmental biology research. This resource aids in understanding developmental evolution across the tree of life.

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Area of Science:

  • Evolutionary developmental biology
  • Comparative genomics
  • Multi-omics data analysis

Background:

  • Evolutionary developmental biology (evo-devo) seeks to understand the evolution of development.
  • Omics data offers potential for evo-devo, but access is limited, especially for non-model organisms.

Purpose of the Study:

  • To establish a comprehensive, comparative multi-omics database for animal evo-devo research.
  • To facilitate access and utilization of diverse omics data for non-model animals.

Main Methods:

  • Compiled genomes, bulk transcriptomes, and single-cell data for 40 animal species.
  • Integrated genomic and transcriptomic information, including gene features, expression profiles, and networks.
  • Incorporated single-cell data for spatiotemporal gene expression, cell atlases, and markers.

Main Results:

  • Developed EDomics, a database featuring comparative multi-omics data for 40 species.
  • Provided systematic views of genomic/transcriptomic information and spatiotemporal gene expression.
  • Included specialized resources for evo-devo, such as gene family analysis and cell type evolution.

Conclusions:

  • EDomics serves as a comprehensive platform for the animal evo-devo community.
  • The database enables deciphering developmental evolution across the tree of life.
  • Facilitates research on gene evolution, karyotype evolution, and cell type evolution.