Evidence map›Paper›PMID 40514394›Full record

ArticleScientific data2025

Chromosome-level genome assembly of the aphid Megoura crassicauda.

Tianyu Huang, Xu Cheng, Bing Wang, Guirong Wang

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Tianyu HuangState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Xu ChengKunpeng Institute of Modern Agriculture at Foshan, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China.
Bing WangState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China. wangbing02@caas.cn.ORCID 0000-0001-5392-837X
Guirong WangState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China. wangguirong@caas.cn.ORCID 0000-0002-9391-931X

Funding

China Postdoctoral Science Foundation 2023M743837China Postdoctoral Science Foundation GZC20233066National Natural Science Foundation of China (National Science Foundation of China) 32472553
6 · The paper itself

Abstract

Megoura crassicauda (Hemiptera: Aphididae) is a major pest species that inflicts significant damage on various legume crops worldwide, causing substantial global economic losses. In this study, we present a chromosome-scale genome assembly of M. crassicauda. By integrating PacBio long-read sequencing, Illumina short-read sequencing, and Hi-C scaffolding techniques, we constructed a genome assembly spanning 424.45 Mb genome. Approximately 93.74% of the assembly was successfully anchored into five scaffolds, with contig and scaffold N50 reaching 5.55 Mb and 103.55 Mb, respectively. The genome completeness, as evaluated by BUSCO, achieved a completeness score of 97.75%. Additionally, a total of 14,717 protein-coding genes were identified. This high-quality genome assembly of M. crassicauda serves as a valuable genomic resource, facilitating further studies into the ecological adaptations of M. crassicauda and the development of pest control strategies.

Indexed as

AphidsChromosomes, InsectGenome, InsectAnimals

Identifiers

PMID40514394
PMCPMC12166070

What Socratic 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 Socratic graph.