Evidence map›Paper›PMID 41263103›Full record

ArticleNucleic acids research2026

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

Zuoqi Wang, Hao Chen, Shuo Jin, Zonghuan Li, Yang Mei, Yiqi Xiao, Chenfan Zhao, Tianyu Zhou, Fei Li, Ying Liu and 1 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Dual-line Genome-scale CRISPR Screening Enables Robust Target Gene Discovery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Zuoqi WangState 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.
Hao ChenState 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.
Shuo JinState 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.
Zonghuan LiState 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.
Yang MeiState 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.
Yiqi XiaoState 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.
Chenfan ZhaoState 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.
Tianyu ZhouState 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.
Fei LiState 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.ORCID 0000-0002-8410-5250
Ying LiuKey Laboratory of Green Prevention and Control of Agricultural Transboundary Pests of Yunnan Province/Agricultural Environment and Resource Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China.ORCID 0000-0002-4631-0915
Kang HeState 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.ORCID 0000-0002-7270-8118

Funding

2024 Yangtze River Delta Science and Technology Innovation Community Joint Research (Basic Research) Project 2024CSJZN0900National Key Research and Development Program of China 2021YFD1400100National Key Research and Development Program of China 2022YFD1401600National Natural Science Foundation of China 32202366Natural Science Foundation of Zhejiang Province LZ23C140002
6 · The paper itself

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.

Indexed as

Databases, GeneticGenome, InsectGenomicsInsectaSoftwareAnimalsInternetMultiomicsTranscriptome

Identifiers

PMID41263103
PMCPMC12807663

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.