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Diverse novel Wolbachia bacteria strains and widespread co-infections with Asaia bacteria in Culicine mosquitoes from ecologically diverse regions of Cameroon

2023· preprint· en· W4381550117 on OpenAlexaff
Aina Mercant Osuna, Alexandra Gidley, Marie Paul Audrey Mayi, Roland Bamou, Vishaal Dhokiya, Christophe Antonio‐Nkondjio, Claire L. Jeffries, Thomas Walker

Bibliographic record

VenueWellcome Open Research · 2023
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicInsect symbiosis and bacterial influences
Canadian institutionsConcordia University
FundersWellcome Trust
KeywordsBiologyWolbachiaHost (biology)Genetics

Abstract

fetched live from OpenAlex

<ns4:p> <ns4:bold>Background:</ns4:bold> The endosymbiotic bacterium <ns4:italic>Wolbachia</ns4:italic> infects numerous species of insects and <ns4:italic>Wolbachia</ns4:italic> transinfection of <ns4:italic>Aedes</ns4:italic> mosquito species <ns4:italic/> is now being used for biocontrol programs as <ns4:italic>Wolbachia</ns4:italic> strains can both inhibit arboviruses and invade wild mosquito populations. The discovery of novel, resident <ns4:italic>Wolbachia</ns4:italic> strains in mosquito species warrants further investigation as potential candidate strains for biocontrol strategies. </ns4:p> <ns4:p> <ns4:bold>Methods:</ns4:bold> We obtained mosquito specimens from diverse Culicine mosquitoes from Cameroon including ecologically diverse locations in the Central and West Regions. <ns4:italic>Wolbachia</ns4:italic> prevalence rates were assessed in addition to the environmentally acquired bacterial species <ns4:italic>Asaia</ns4:italic> in major Culicine genera. PCR-based methods were also used with phylogenetic analysis to confirm identities of host mosquito species and <ns4:italic>Wolbachia</ns4:italic> strains were classified using multi-locus sequence typing (MLST). </ns4:p> <ns4:p> <ns4:bold>Results</ns4:bold> : We report high <ns4:italic>Wolbachia</ns4:italic> prevalence rates for Culicine species, including in a large cohort of <ns4:italic>Aedes africanus</ns4:italic> collected from west Cameroon in which 100% of mono-specific pools were infected. Furthermore, co-infections with <ns4:italic>Asaia</ns4:italic> bacteria were observed across multiple genera, demonstrating that these two bacteria can co-exist in wild mosquito populations. <ns4:italic>Wolbachia</ns4:italic> strain MLST and phylogenetic analysis <ns4:italic/> provided evidence for diverse <ns4:italic>Wolbachia</ns4:italic> strains in 13 different mosquito species across seven different genera. Full or partial MLST profiles were generated from resident <ns4:italic>Wolbachia</ns4:italic> strains in six <ns4:italic>Culex</ns4:italic> species ( <ns4:italic>quinquefasciatus</ns4:italic> , <ns4:italic>watti</ns4:italic> , <ns4:italic>cinerus, nigripalpus, perexiguus</ns4:italic> and <ns4:italic>rima),</ns4:italic> two <ns4:italic>Aedes</ns4:italic> species <ns4:italic>(africanus</ns4:italic> and <ns4:italic>denderensis)</ns4:italic> and in <ns4:italic>Mansonia uniformis, Catageiomyia argenteopunctata, Lutzia tigripes, Eretmapodites chrysogaster</ns4:italic> and <ns4:italic>Uranotaenia bilineata.</ns4:italic> </ns4:p> <ns4:p> <ns4:bold>Conclusions:</ns4:bold> Our study provides further evidence that <ns4:italic>Wolbachia</ns4:italic> is widespread within wild mosquito populations of diverse Culicine species and provides further candidate strains that could be investigated as future options for <ns4:italic>Wolbachia</ns4:italic> -based biocontrol to inhibit arbovirus transmission. </ns4:p>

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.910
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0020.003
Research integrity0.0010.001
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 head0.221
GPT teacher head0.369
Teacher spread0.148 · 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 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

Citations2
Published2023
Admission routes1
Has abstractyes

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