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This research aims to create a comprehensive multi-omics database for studying gene orthology in 35 Drosophila species.

February 21, 2026hLifeOpen Access

DrosGB: An integrated multi-omics database for comparative genomics and functional annotation of 35 Drosophila species

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This research aims to create a comprehensive multi-omics database for studying gene orthology in 35 Drosophila species.
Developed DrosGB using Python and Django frameworks for database management.
Integrated genomic data, 876 transcriptome datasets, and 420,000 3D protein structures.
Utilized four orthology inference approaches—OrthoFinder, SonicParanoid, Foldseek, and TOGA.
Identified 6889 core genes shared across all 35 species, primarily involved in basal metabolism.
Discovered 200 D. melanogaster-specific genes related to sperm motility and flagellar function.
Provided eight functional modules for data exploration, including gene ID search and 3D structure viewer.

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DrosGB demonstrates improved gene orthology insights in Drosophila species, highlighting evolutionary relationships.

Zheng et al. (2026) studied this question.

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