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Record W4413054883 · doi:10.1186/s40249-025-01353-1

Insights on the sex determination, vector capacity and ecological biology from a chromosomal level genome of vector mosquito, Armigeres subulbatus

2025· article· en· W4413054883 on OpenAlexaff
Peiwen Liu, Feng Liu, Haoran Lu, Jinbao Gu, Xiaohong Zhou, Yang Wu, Zhen Zou, Xiang Guo, Wenqiang Yang, Shan Li, Ziyao Li, Xiao‐Guang Chen

Bibliographic record

VenueInfectious Diseases of Poverty · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicInvertebrate Immune Response Mechanisms
Canadian institutionsInstitute of Infection and Immunity
FundersNational Natural Science Foundation of ChinaFoundation for the National Institutes of Health
KeywordsBiologyGeneticsGenomeArbovirusGeneVector (molecular biology)Evolutionary biologyVirus

Abstract

fetched live from OpenAlex

BACKGROUND: Mosquitoes with aggressive biting behavior are important disease vectors threatening public health. Armigeres subalbatus, as an emerging arbovirus and filarial disease vector, exhibits aggressive host-seeking behavior and unique breeding preference for contaminated water. However, the molecular mechanisms underlying these biological characteristics remain poorly understood. This study aimed to generate a high-quality genome assembly and characterize the genetic basis of vector competence and environmental adaptation in Ar. subalbatus. METHODS: We sequenced and assembled the Ar. subalbatus genome using Oxford Nanopore long-read sequencing, Illumina short-read sequencing, and Hi-C technology. Comparative genomic analysis was performed to identify gene families related to detoxification, diapause, innate immunity, and sex determination. Gene structure analysis focused on the male-determining factor and its evolutionary relationships with other mosquito vectors. RESULTS: The genome assembly consists of three chromosomes, with a total size of 1.33 Gbp and an N50 of 430.15 Mbp (GenBank assembly: GCA_024139115.2), displaying 99.4% Benchmarking Universal Single-Copy Orthologs (BUSCO) completeness. We identified the gene structure of the male-determining factor (AsuMf) and characterized its evolutionary relationship with other mosquito vectors. The analysis revealed expanded detoxification-related gene families including cytochrome P450s, which may facilitate adaptation to contaminated breeding sites. We characterized 566 putative diapause-related genes that could potentially contribute to geographical expansion, 334 innate immune genes, and 1673 endogenous viral elements, indicating complex virus-host interactions throughout evolution. CONCLUSIONS: Our study provides insights into the molecular basis of vector competence and adaptation in Ar. subalbatus. The expanded detoxification gene families may enable the species to survive in polluted environments, while the identified diapause-related genes could explain its geographical expansion capabilities. These findings establish a foundation for developing novel vector control strategies targeting this emerging disease vector.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.545
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.233
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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