InsectBase 3.0: a comprehensive multi-omics resource for insects

Insects represent the most diverse animal group and play essential roles in ecosystems, agriculture, and human health. The rapid accumulation of high-quality genomes and diverse omics datasets provides unprecedented opportunities to advance research in insect biology and evolution, yet also poses challenges in data integration, accessibility, and reuse. To address these demands, we developed InsectBase 3.0 (www.insect-genome.com), an upgraded platform that integrates extensive insect multi-omics data and provides user-friendly tools for furthor analysis. InsectBase 3.0 covers 3020 species across 24 insect orders, including 1651 chromosome-level assemblies and 61 353 curated transcriptomes. In addition, the new version incorporates a large-scale protein structure dataset (474 300 predicted models and 381 experimental entries), genome resequencing and variant resources, curated transposable element libraries, and 3D morphological reconstructions. To organize these heterogeneous resources, InsectBase 3.0 introduces knowledge graphs centered on species and genes, enabling users to navigate cross-dataset relationships more intuitively. In addition, the web framework has been modernized to improve efficiency, interactivity, and visualization. Together, these updates establish InsectBase 3.0 as the most comprehensive open-access insect omics platform to date, providing a valuable resource for evolutionary, functional, and applied research in insects.

Authors

Institutions

Publication Details

Journal
Nucleic Acids Research
Published
2025-11-20
DOI
https://doi.org/10.1093/nar/gkaf1248
Citations
2
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
1.61

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

InsectBase 3.0: a comprehensive multi-omics resource for insects

Kang He, Mei Yang, Shuo Jin, Zonghuan Li et al.
2 citations
Nucleic Acids Research
Genomics and Phylogenetic Studies
1.61
article

InsectBase 3.0: a comprehensive multi-omics resource for insects

Kang He, Mei Yang, Shuo Jin, Zonghuan Li, Zuoqi Wang, Fei Li, Hao Chen, Ying Liu, Yiqi Xiao, Tianyu Zhou, Chengsong Zhao
article en
2 citations

Abstract

Insects represent the most diverse animal group and play essential roles in ecosystems, agriculture, and human health. The rapid accumulation of high-quality genomes and diverse omics datasets provides unprecedented opportunities to advance research in insect biology and evolution, yet also poses challenges in data integration, accessibility, and reuse. To address these demands, we developed InsectBase 3.0 (www.insect-genome.com), an upgraded platform that integrates extensive insect multi-omics data and provides user-friendly tools for furthor analysis. InsectBase 3.0 covers 3020 species across 24 insect orders, including 1651 chromosome-level assemblies and 61 353 curated transcriptomes. In addition, the new version incorporates a large-scale protein structure dataset (474 300 predicted models and 381 experimental entries), genome resequencing and variant resources, curated transposable element libraries, and 3D morphological reconstructions. To organize these heterogeneous resources, InsectBase 3.0 introduces knowledge graphs centered on species and genes, enabling users to navigate cross-dataset relationships more intuitively. In addition, the web framework has been modernized to improve efficiency, interactivity, and visualization. Together, these updates establish InsectBase 3.0 as the most comprehensive open-access insect omics platform to date, providing a valuable resource for evolutionary, functional, and applied research in insects.

Nucleic Acids ResearchVol. 54(D1)
Yunnan Academy of Agricultural Sciences (CN), Ministry of Agriculture and Rural Affairs (CN), Jilin Agricultural University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 14%
Genomics and Phylogenetic Studies
1.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.