MétaCan
Menu
← Back to cohort
Record W4256448544 · doi:10.21203/rs.2.23822/v1

Natural variation in physicochemical profiles and bacterial communities associated with Aedes aegypti breeding sites and larvae on Guadeloupe and French Guiana

2020· preprint· en· W4256448544 on OpenAlexaff
Lyza Héry, Amandine Guidez, Audrey‐Anne Durand, Christelle Delannay, Josiann Normandeux-Guimond, Yann Reynaud, Jean Issaly, Daniella Goindin, Grégory Legrave, Joël Gustave, Stéphanie Raffestin, Sébastien Breurec, Philippe Constant, Claude Guertin, Anubis Vega-Rúa

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsArmand Frappier Museum
FundersConseil Régional de Guadeloupe
KeywordsAedes aegyptiLarvaBiologyEcologyNatural (archaeology)Variation (astronomy)AedesZoologyGeography

Abstract

fetched live from OpenAlex

Abstract Background: Immature stages of Aedes aegypti develop in many man-made aquatic habitats in which mosquito larvae are exposed to physicochemical elements and microorganisms that may influence their life cycle and their ability to transmit human arboviruses. Despite the omnipresence of Ae. aegypti in tropical and subtropical regions, little is known about the natural bacterial communities associated with this mosquito or their relation to the biotic and abiotic characteristics of their aquatic habitats. We comprehensively characterized the physicochemical properties and bacterial microbiome of Ae. aegypti breeding sites and larvae on Guadeloupe and in French Guiana. In addition, we explored whether geographical location, the type of breeding site and physicochemical parameters of the water influenced the microbiota associated with this mosquito species.Method: We used large-scale 16S rRNA gene sequencing of 160 breeding sites and 147 pools of Ae. aegypti larvae from sites widely distributed across Guadeloupe and French Guiana and recorded 13 physicochemical parameters at the sampled breeding sites. Ordination plots and multiple linear regression were used to assess the influence of environmental factors on the bacterial microbiome of water and larvae.Results: We found territory-specific differences in physicochemical properties (dissolved oxygen, conductivity and metal content) and the composition of bacterial communities in Ae. aegypti breeding sites that influenced the relative abundance of several bacteria genera (Methylobacterium, Roseoccocus) on the corresponding larvae. A significant fraction of the bacterial communities identified on Ae. aegypti larvae, dominated by Herbiconiux and Microvirga genera, were consistently enriched in mosquitoes regardless the location. Conclusion: Territory-specific differences observed in the biotic and abiotic properties of Ae. aegypti breeding sites influenced a fraction of the microbial communities of the corresponding larvae, raising concern about the impact of these changes on pathogen transmission by different Ae. aegypti populations.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.512

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 head0.022
GPT teacher head0.250
Teacher spread0.228 · 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 designObservational
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

Citations5
Published2020
Admission routes1
Has abstractyes

Explore more

Same topicMosquito-borne diseases and control→French-language works237,207→