Evidence map›Paper›PMID 42168233›Full record

ArticleScientific data2026

Chromosomal-level genome assembly of minute pirate bug Orius nagaii Yasunaga, 1993 (Hemiptera: Anthocoridae).

Zhenjuan Yin, Chengxing Wang, Dingyin Li, Ruijuan Wang, Xiaoyan Dai, Li Zheng, Junrui Zhi

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Zhenjuan YinInstitute of Entomology, College of Guizhou University, Guiyang, 550025, China. yinzhenjuan1220@126.com.
Chengxing WangInstitute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan, 250100, China.
Dingyin LiInstitute of Entomology, College of Guizhou University, Guiyang, 550025, China.
Ruijuan WangInstitute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan, 250100, China.
Xiaoyan DaiInstitute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan, 250100, China.
Li ZhengInstitute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan, 250100, China. zhengli64@126.com.
Junrui ZhiInstitute of Entomology, College of Guizhou University, Guiyang, 550025, China. jrzhi@gzu.edu.cn.

Funding

Taishan Scholar Foundation of Shandong Province tsqn202312293
6 · The paper itself

Abstract

Species of the genus Orius, diminutive predatory insects that act as natural enemies of other arthropods, are frequently employed in agricultural pest management for controlling various pests, such as thrips, mites, aphids, whiteflies, etc. However, the scarcity of high-quality genomic resources for these predators hinders our comprehension of their population evolution and predation ecology. Consequently, we assembled and annotated a chromosomal-scale genome of Orius nagaii by collating PacBio and Illumina sequencing and Hi-C genomic analysis techniques. The final genome assembly size 152.62 Mb, with scaffold and contig N50 lengths of 11.53 and 2.39 Mb, respectively. It is organized into 12 pairs of autosomes and a pair of XY sex chromosomes. The quality assessment of the genomic data with BUSCO revealed a completeness of 98.5% (n = 1,367). Also, 11,917 protein-coding genes were discovered, with 94.28% of them having functional annotations. The high-quality genome of O. nagaii produced serves as a valuable resource for comprehending the interactions between predatory natural enemies and hosts, along with their evolutionary trajectories.

Indexed as

Chromosomes, InsectGenome, InsectHeteropteraAnimals

Identifiers

PMID42168233
PMCPMC13572376

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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.