Evidence map›Paper›PMID 39455905›Full record

ArticleBMC microbiology2024

Nested patterns of commensals and endosymbionts in microbial communities of mosquito vectors.

Justė Aželytė, Apolline Maitre, Lianet Abuin-Denis, Alejandra Wu-Chuang, Rita Žiegytė, Lourdes Mateos-Hernandez, Dasiel Obregon, Vaidas Palinauskas, Alejandro Cabezas-Cruz

Abstract read
In one paragraph

Article in BMC microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Justė AželytėNature Research Centre, Akademijos 2, Vilnius, LT-08412, Lithuania.
Apolline MaitreLaboratoire de Santé Animale, ANSES, INRAE, Ecole Nationale Vétérinaire d'Alfort, UMR BIPAR, Maisons-Alfort, F-94700, France.
Lianet Abuin-DenisLaboratoire de Santé Animale, ANSES, INRAE, Ecole Nationale Vétérinaire d'Alfort, UMR BIPAR, Maisons-Alfort, F-94700, France.
Alejandra Wu-ChuangLaboratoire de Santé Animale, ANSES, INRAE, Ecole Nationale Vétérinaire d'Alfort, UMR BIPAR, Maisons-Alfort, F-94700, France.
Rita ŽiegytėNature Research Centre, Akademijos 2, Vilnius, LT-08412, Lithuania.
Lourdes Mateos-HernandezLaboratoire de Santé Animale, ANSES, INRAE, Ecole Nationale Vétérinaire d'Alfort, UMR BIPAR, Maisons-Alfort, F-94700, France.
Dasiel ObregonSchool of Environmental Sciences, University of Guelph, Guelph, ON, N1G 2W1, Canada.
Vaidas PalinauskasNature Research Centre, Akademijos 2, Vilnius, LT-08412, Lithuania. palinauskas@gmail.com.
Alejandro Cabezas-CruzLaboratoire de Santé Animale, ANSES, INRAE, Ecole Nationale Vétérinaire d'Alfort, UMR BIPAR, Maisons-Alfort, F-94700, France. alejandro.cabezas@vet-alfort.fr.

Funding

Agence Nationale de la Recherche ANR-10-LABX-62-IBEIDCollectivité de Corse SGCE-RAPPORT No. 0300Lietuvos Mokslo Taryba S-MIP-22-52
6 · The paper itself

Abstract

backgroundMosquitoes serve as vectors for numerous pathogens, posing significant health risks to humans and animals. Understanding the complex interactions within mosquito microbiota is crucial for deciphering vector-pathogen dynamics and developing effective disease management strategies. Here, we investigated the nested patterns of Wolbachia endosymbionts and Escherichia-Shigella within the microbiota of laboratory-reared Culex pipiens f. molestus and Culex quinquefasciatus mosquitoes. We hypothesized that Wolbachia would exhibit a structured pattern reflective of its co-evolved relationship with both mosquito species, while Escherichia-Shigella would display a more dynamic pattern influenced by environmental factors.

resultsOur analysis revealed different microbial compositions between the two mosquito species, although some microorganisms were common to both. Network analysis revealed distinct community structures and interaction patterns for these bacteria in the microbiota of each mosquito species. Escherichia-Shigella appeared prominently within major network modules in both mosquito species, particularly in module P4 of Cx. pipiens f. molestus, interacting with 93 nodes, and in module Q3 of Cx. quinquefasciatus, interacting with 161 nodes, sharing 55 nodes across both species. On the other hand, Wolbachia appeared in disparate modules: module P3 in Cx. pipiens f. molestus and a distinct module with a single additional taxon in Cx. quinquefasciatus, showing species-specific interactions and no shared taxa. Through computer simulations, we evaluated how the removal of Wolbachia or Escherichia-Shigella affects network robustness. In Cx. pipiens f. molestus, removal of Wolbachia led to a decrease in network connectivity, while Escherichia-Shigella removal had a minimal impact. Conversely, in Cx. quinquefasciatus, removal of Escherichia-Shigella resulted in decreased network stability, whereas Wolbachia removal had minimal effect.

conclusionsContrary to our hypothesis, the findings indicate that Wolbachia displays a more dynamic pattern of associations within the microbiota of Culex pipiens f. molestus and Culex quinquefasciatus mosquitoes, than Escherichia-Shigella. The differential effects on network robustness upon Wolbachia or Escherichia-Shigella removal suggest that these bacteria play distinct roles in maintaining community stability within the microbiota of the two mosquito species.

Indexed as

CulexMicrobiotaMosquito VectorsSymbiosisWolbachiaAnimalsBacteriaCommunity assemblyEscherichia-ShigellaMosquitoesNestedness theoryWolbachia

Identifiers

PMID39455905
PMCPMC11520040

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.