MolluscDB: an integrated functional and evolutionary genomics database for the hyper-diverse animal phylum Mollusca

Area of Science:

• Genomics
• Evolutionary Biology
• Bioinformatics

Background:

• Mollusca is the second-largest animal phylum, yet genomic exploration remains limited.
• Existing genomic resources for mollusks are fragmented, hindering comprehensive analysis and understanding of their biology and evolution.

Purpose of the Study:

• To introduce MolluscDB, the first integrated genomics database for the phylum Mollusca.
• To provide a centralized platform for accessing and analyzing diverse molluscan genomic and transcriptomic data.
• To facilitate integrative and comparative genomic studies to deepen insights into molluscan evolution and biology.

Main Methods:

• Compilation and integration of existing molluscan genomic and transcriptomic resources.
• Development of a web-based platform (MolluscDB) with tools for multi-level integrative and comparative analyses.
• Inclusion of data on genome statistics, phylogenies, gene information, expression profiles, gene families, transcription factors, transposable elements, and mitogenomes.

Main Results:

• MolluscDB offers a systematic view of genomic information, including assembly statistics, phylogenies, gene data, and expression profiles.
• The database provides specialized resources like gene coexpression networks, core gene repertoires, and macrosynteny analysis.
• It enables comprehensive analysis of genomic data across various molluscan lineages and developmental stages.

Conclusions:

• MolluscDB serves as a comprehensive genomics platform for the molluscan research community.
• The database addresses the challenge of accessing and utilizing growing genomic resources.
• It is expected to accelerate new discoveries in molluscan biology and evolutionary research.