Evidence map›Paper›PMID 39870712›Full record

ArticleScientific data2025

Genome assembly of the grassland caterpillar Gynaephora qinghaiensis.

Youpeng Lai, Shan Xiao, Minggang Qin, Xinhai Ye, Fang Wang, Qi Fang

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Youpeng Lai *Key Laboratory of Agricultural Integrated Pest Management of Qinghai Province, Qinghai University, Xining, 810016, China.
Shan Xiao *Ningbo Academy of Agricultural Science, Ningbo, 315040, China.ORCID http://orcid.org/0000-0001-7456-6080
Minggang QinKey Laboratory of Agricultural Integrated Pest Management of Qinghai Province, Qinghai University, Xining, 810016, China.
Xinhai YeCollege of Advanced Agriculture Science, Zhejiang A&F University, Hangzhou, China.ORCID http://orcid.org/0000-0002-0203-0663
Fang WangState Key Laboratory of Rice Biology, Ministry of Agricultural and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Institute of Insect Sciences, Zhejiang University, Hangzhou, 310058, China.
Qi FangState Key Laboratory of Rice Biology, Ministry of Agricultural and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Institute of Insect Sciences, Zhejiang University, Hangzhou, 310058, China. fangqi@zju.edu.cn.

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2022YFD1401102
6 · The paper itself

Abstract

The grassland caterpillars are the most damaging insect pests to the alpine meadow of the Qinghai-Tibetan Plateau in China. In this study, we present a genome assembly of one grassland caterpillar Gynaephora qinghaiensis by using Oxford Nanopore long-read and BGI short-read sequencing. The genome assembly of 861.04 Mb in size consists of 107 contigs, with a contig N50 size of 18.65 Mb. The BUSCO analysis revealed the presence of 99.56% (99.27% complete and 0.29% fragmented) BUSCO genes in the assembly. 580.2 Mb (67.4% of genome) of repetitive sequences and 16,618 protein-coding genes were predicted in G. qinghaiensis genome. Phylogenomic analysis indicated that G. qinghaiensis and the rusty tussock moth Orgyia antiqua diverged approximately 18.3 million years ago. Moreover, gene family evolution analysis suggested that 130 gene families significantly expanded and 43 contracted in the G. qinghaiensis genome. The availability of the reference genome could provide genetic resources to uncover adaptive evolutionary mechanisms of grassland caterpillars to high-altitude environments and contributes to the development of integrated pest management strategies.

Indexed as

Genome, InsectMothsAnimalsChinaEvolution, MolecularGrasslandPhylogeny

Identifiers

PMID39870712
PMCPMC11772657

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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.