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InsectBase 3.0: a comprehensive multi-omics resource for insects.

Zuoqi Wang¹, Hao Chen¹, Shuo Jin¹

¹State Key Laboratory of Rice Biology and Breeding and Ministry of Agricultural and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insect Pests, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China.

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|November 20, 2025

Summary

This summary is machine-generated.

InsectBase 3.0 is a comprehensive platform integrating diverse insect multi-omics data for evolutionary and functional research. This upgraded resource enhances data accessibility and analysis for thousands of insect species.

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Area of Science:

Entomology
Bioinformatics
Genomics

Background:

Insects are a highly diverse animal group crucial for ecosystems, agriculture, and health.
Increasing omics data presents challenges in integration, accessibility, and reuse for insect research.

Purpose of the Study:

To develop an upgraded, comprehensive platform for insect multi-omics data integration and analysis.
To enhance accessibility and usability of insect genomic and transcriptomic resources.

Main Methods:

Integrated extensive insect multi-omics data, including chromosome-level assemblies and curated transcriptomes.
Incorporated protein structure datasets, genome resequencing data, transposable element libraries, and 3D morphological reconstructions.
Developed knowledge graphs for intuitive navigation of cross-dataset relationships and modernized the web framework for improved efficiency and visualization.

Main Results:

InsectBase 3.0 covers 3020 species, featuring 1651 chromosome-level assemblies and 61,353 transcriptomes.
Includes large-scale protein structure data, variant resources, transposable element libraries, and 3D morphology.
Introduced knowledge graphs and an improved web interface for enhanced data exploration.

Conclusions:

InsectBase 3.0 is the most comprehensive open-access insect omics platform available.
Provides a valuable resource for evolutionary, functional, and applied insect research.
Facilitates advanced analysis and discovery in insect biology and evolution.