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Record W7115196206 · doi:10.5281/zenodo.17925266

Ancient Mosquitoes: Evolution of Hematophagous Insects and the Emergence of Modern Disease Vectors

2025· article· W7115196206 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Language
FieldArts and Humanities
TopicPaleopathology and ancient diseases
Canadian institutionsnot available
Fundersnot available
KeywordsVector (molecular biology)Evolutionary ecologyNatural selectionPhylogeneticsTaxonomy (biology)Anopheles

Abstract

fetched live from OpenAlex

Mosquitoes are dipteran insects belonging to the family Culicidae with an evolutionary history exceeding 100 million years. Fossil evidence from the Cretaceous period demonstrates that ancestral mosquitoes coexisted with dinosaurs and early vertebrates. This article examines the evolutionary trajectory of mosquitoes through an integrated framework of paleobiology, taxonomy and vector biology, emphasizing the critical distinction between hematophagy (blood-feeding behavior) and vector competence (the ability to transmit pathogens), which emerged later in evolutionary history. Fossil mosquitoes preserved in amber from Myanmar, Canada and Eastern Europe reveal early development of blood-feeding mouthparts, yet no definitive evidence of disease transmission. Subsequent genetic adaptations including salivary anticoagulants, olfactory specialization and host selection combined with pathogen co-evolution and environmental changes associated with human settlement and climate, facilitated the emergence of modern disease vectors such as Aedes, Anopheles and Culex. This study argues that mosquitoes are not inherently antagonistic to humans, but rather represent the outcome of complex evolutionary processes within ecosystems increasingly shaped by human activity.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.825
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.022
GPT teacher head0.231
Teacher spread0.209 · 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.

Study designTheoretical or conceptual
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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