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Record W7135192631 · doi:10.5376/jmr.2024.14.0029

Comparative Physiology of Mosquito Reproductive Systems

2024· article· W7135192631 on OpenAlexvenueno aff
Xiaoyun Wang, Jun Li

Bibliographic record

VenueJournal of Mosquito Research · 2024
Typearticle
Language
FieldNeuroscience
TopicNeurobiology and Insect Physiology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMatingAedes aegyptiReproductive successReproductive biologyVitellogenesisAedesAdaptabilityMechanism (biology)Female reproductive system

Abstract

fetched live from OpenAlex

This study systematically analyzed the comparative physiology of mosquito reproductive systems, revealing their impact on reproductive success and disease transmission potential. Analyzing the structure and function of male and female reproductive organs, elucidating the key roles of larval hormone (JH) and 20 hydroxyecdysteroid (20E) in gamete and yolk formation, and demonstrating the ecological adaptability and vector potential diversity brought about by differences in reproductive structures among different mosquito genera. Taking Aedes aegypti as an example, this study explores the delayed egg laying mechanism under drought conditions and the transcriptome changes induced by mating, emphasizing the regulatory role of mating behavior on female reproductive physiology. At the same time, it is pointed out that environmental factors such as temperature, humidity, and nutrition have a significant impact on the reproductive cycle. Although emerging molecular tools such as CRISPR/Cas9 and RNA interference (RNAi) have made progress in studying the functions of reproductive related genes, further understanding of the functions of seminal proteins and long non coding RNAs (lncRNAs) is still needed. The research results provide theoretical support for the development of vector control strategies targeting mosquito reproductive processes, and suggest combining molecular, physiological, and ecological research to optimize the prevention and control of mosquito borne diseases.

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)0.014
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.004
Science and technology studies0.0010.007
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0010.008
Insufficient payload (model declined to judge)0.0000.001

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 head0.237
GPT teacher head0.473
Teacher spread0.236 · 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 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
Published2024
Admission routes1
Has abstractyes

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