MétaCan
Menu
Back to cohort
Record W3099605106 · doi:10.1073/pnas.2011648117

Ammonium transporter expression in sperm of the disease vector <i>Aedes aegypti</i> mosquito influences male fertility

2020· article· en· W3099605106 on OpenAlexafffund
Andrea C. Durant, Andrew Donini

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2020
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsAedes aegyptiBiologySpermFertilityHuman fertilizationZoologyReproductive biologyAndrologyEcologyCell biologyGeneticsLarvaEmbryoPopulation

Abstract

fetched live from OpenAlex

Significance Ammonium transporters (AMT) have been implicated in facilitating nitrogen assimilation in plants and bacteria and ammonia (NH 3 /NH 4 + ) transport for nitrogen regulation and excretion in animals. However, the involvement of AMT proteins in mediating reproductive processes remains unexplored. We report that an insect AMT, AeAmt1, is expressed in the flagellum of spermatozoa from the dengue vector mosquito Aedes aegypti during sperm development through to egg fertilization. We provide evidence that AeAmt1 expression in spermatozoa is critical for sperm survival and overall male fertility. This description of ammonia transporter (AMT and Rh families) expression in the sperm of an animal provides a striking role for these evolutionarily conserved protein families and contributes to our understanding of mosquito reproductive biology.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.037
GPT teacher head0.295
Teacher spread0.259 · 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 source (direct Gemma or distilled Codex), 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

Citations39
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueProceedings of the National Academy of SciencesSame topicMosquito-borne diseases and controlFrench-language works237,207