Evidence map›Paper›PMID 42120432›Full record

ArticleScientific data2026

A chromosomal-level genome assembly of Nadezhdiella cantori (Hope, 1843) (Coleoptera: Cerambycidae).

Jianfeng Jin, Maolin Ye, Hanmo Zhang, Fang Zheng, Yanan Li, Bin Yu, Shengli Jing

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.

Jianfeng JinCollege of Life Sciences, Xinyang Normal University, Xinyang, 464000, China. jianfeng.jin1995@gmail.com.ORCID http://orcid.org/0000-0001-6875-654X
Maolin YeCollege of Plant Protection, South China Agricultural University, Guangzhou, 510600, China.
Hanmo ZhangCollege of Life Sciences, Xinyang Normal University, Xinyang, 464000, China.
Fang ZhengCollege of Life Sciences, Xinyang Normal University, Xinyang, 464000, China.
Yanan LiCollege of Life Sciences, Xinyang Normal University, Xinyang, 464000, China.
Bin YuCollege of Life Sciences, Xinyang Normal University, Xinyang, 464000, China.
Shengli JingCollege of Life Sciences, Xinyang Normal University, Xinyang, 464000, China. 18838933410@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nadezhdiella cantori (Coleoptera: Cerambycidae) is a wood-boring pest native to Southeast Asia that attacks citrus trees, with larvae boring into trunks and branches and often causing tree mortality. Nevertheless, the absence of a high-quality genome has hindered ecological research and the development of effective pest management for N. cantori. In this study, we report the assembly of a chromosome-level genome for N. cantori, generated by integrating PacBio, Illumina, and Hi-C sequencing data. The assembled genome is 737.74 Mb in size, comprising 30 scaffolds and 943 contigs, with scaffold and contig N50 values of 87.91 Mb and 1.33 Mb, respectively. In total, 97.88% (722.07 Mb) of the genome was assigned to 10 chromosomes. BUSCO analysis using the insecta_odb10 dataset (n = 1,367) revealed the genome assembly completeness of 99.3%, including 98.1% single-copy and 1.2% duplicated BUSCOs. We identified repetitive elements constituting 61.20% (451.48 Mb) of the genome and predicted 14,883 protein-coding genes. This genome serves as a valuable resource for N. cantori's adaptations and developing wood-boring pest control.

Indexed as

Chromosomes, InsectColeopteraGenome, InsectAnimals

Identifiers

PMID42120432
PMCPMC13388931

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.