Edwige Martin’s research while affiliated with French National Centre for Scientific Research and other places

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Publications (26)


A major entomoparasite interferes with Chikungunya transmission by Aedes albopictus
  • Preprint
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December 2024

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35 Reads

Edwige Martin

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Barbara Viginier

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The Asian tiger mosquito, Aedes albopictus , spreads diseases like Chikungunya and has caused outbreaks worldwide. Studies show that mosquitoes-associated microbes can affect how well they spread diseases. One of those microbes, the parasite As. taiwanensis , is common in older mosquito populations but rare in newer ones. We found that this parasite slows down the spread of Chikungunya within the mosquito and decreases its transmission rate by half. Unparasitized mosquitoes spread the virus more easily, suggesting that changes in mosquito microbes could impact disease outbreaks and public health.

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Origin of bacterial isolates in MosAIC
Metadata category names and definitions follow those presented in S1 Table. “Unknown” denotes isolates for which a given metadata category is valid but missing. For example, a subset of mosquito samples could not be assigned a species but are derived from adult-stage mosquitoes. Where a given metadata category is invalid, the connection between bars is dropped. For example, feeding status is not a valid category for egg samples. All code and data to recreate this figure can be found at https://github.com/MosAIC-Collection/MosAIC_V1 in the folder “04_Sankey_Diagram.” MosAIC, Mosquito-Associated Isolate Collection.
Phylogeny of single species representatives from MosAIC, along with quality-assurance metrics for related genome assemblies
(A) Maximum likelihood tree built using IQ-TREE2 and 16S rRNA gene sequences predicted with Baarnap. Each node is a species representative coloured according to class. Bars at each tip represent the number of isolates present in the species cluster, defined using a secondary clustering threshold of 95% ANI with dRep. Bars are colour coded according to family information obtained using the Genome Taxonomy Database and classifier GTDB-Tk. Numbers at the tip of bars delineate highly representative species clusters. Evolutionary scale is displayed on the bottom left of the figure panel. (B) Genome completeness and contamination metrics obtained using CheckM. Each point represents a draft genome assembly. Red lines indicate cutoffs for 98% completeness and 5% contamination. (C) Histogram showing average read coverage reported using QUAST. The vertical red line represents a 10× filter cutoff. (D, E) Histograms showing N50 values (the length of the shortest sequence within a group of sequences that represent 50% of the overall assembly) and genome size across the collection. Bars represent high-quality genomes within the collection (CheckM completeness >98%, contamination <5%, and >10X coverage). Bp = Base-pairs, Mbp = Mega base-pairs. (F) Number of isolates comprising the highly represented species (>5 isolates) within the collection. Each bar is coloured according to family and numbered according to their placement in the main phylogeny in panel (A). All code and data to recreate this figure can be found at https://github.com/MosAIC-Collection/MosAIC_V1. For Fig 2A, the code and data are in the folder “03_MosAIC_Phylogeny;” for Fig 2B–2E, they are in the folder “01_GenomeQC,” and for Fig 2F, they are in the folder “02_GTDB_Drep_Summary”.
Heatmap of the distribution of virulence factors across all MosAIC genomes
Genes fall within one of 13 different categories (top). The guidance tree on the left is a maximum likelihood tree built using IQ-TREE2 and Baarnap-predicted 16S rRNA gene sequences from species clusters defined with dRep. Tiles denote the mean number of virulence factor genes identified within a given species cluster, following a gradient from blue (low) to yellow (high). Grey tiles denote species clusters for which zero predicted virulence factor genes were identified. Bacterial families are colour-coded in the figure legend. The bar chart on the right shows the total number of genes identified within each species cluster. All code and data to recreate this figure can be found at https://github.com/MosAIC-Collection/MosAIC_V1 in the folder “05_Virulence_Factor_Analysis.” MosAIC, Mosquito-Associated Isolate Collection.
Selected population structures with improved mosquito representation
Population structures based on previously published genomic collections for (A–C) Enterobacter [61], (D–F) Serratia [62], and (G, H) Elizabethkingia anophelis [60], with added mosquito-derived representation from MosAIC and an additional manually curated set of publicly available En. asburiae genomes. Phylogenies were built using a maximum likelihood approach within IQ-TREE2 [63] and 1,000 bootstraps, using SNP-filtered core gene alignments generated with Panaroo [64] and SNP-sites [65]. The rings of each population phylogeny (A, D, G) denote, from outer to inner, host from which the sample was isolated, genomic collection from which the genome originated, GTDB classifications for the MosAIC isolates, and NCBI classifications from the original studies for the non-MosAIC isolates. Evolutionary scales are displayed on the bottom left of the figure panels. To the right of each population tree are subsets highlighting mosquito-associated lineages within a population (B, C, E, F, H), with the coloured brackets corresponding to their location within a given population tree. The rings of each subset phylogeny denote: Host (as on the population phylogenies), then 3 outer rings that show additional metadata for the mosquito-derived isolates, 1 = whether the mosquito was lab-reared (L) or field-derived (F), 2 = the laboratory group that isolated the sample, comprising some MosAIC contributors and some groups that contributed to previous studies (Lab 1 = Kerri Coon and UW-Madison Capstone in Microbiology Students, Lab 2 = Michael Povelones, Lab 3 = Michael Strand, Lab 4 = Claire Valiente Moro, Lab 5 = Douglas Brackney, Lab 6 = Eric Caragata, Lab 7 = Marcelo Jacobs-Lorena, Lab 8 = Edward Walker, Lab 9 = Sibao Wang, Lab 10 = Dong Pei), and 3 = the mosquito species the isolate was cultured from. Enterobacter liquefaciens within the Serratia phylogeny are derived from [62] and have since been reclassified as Serratia liquefaciens. All code and data to recreate this figure can be found at https://github.com/MosAIC-Collection/MosAIC_V1. For Fig 4A–4C, the code and data are in the folder “06b_EnterobacterPopulationStructure;” for Fig 4D–4F, they are in the folder “06a_SerratiaPopulationStructure,” and for Fig 4G, 4E, and 4H, they are in the folder “06c_ElizabethkingiaPopulationStructure.” GTDB, Genome Taxonomy Database; MosAIC, Mosquito-Associated Isolate Collection; SNP, single-nucleotide polymorphism.
Pangenomes of Enterobacter asburiae, Serratia marcescens, and Elizabethkingia anophelis with highlighted mosquito-associated lineages
Panels (A–C) depict gene presence/absence within each species, generated with Panaroo [64]. Phylogenies and matrices are shaded grey to highlight mosquito-associated lineages defined by PopPUNK [66]. The y-axis shows the host each bacterium was isolated from, denoted as 1 Host in the figure legend. The x-axis shows subclassifications of the pangenome, denoted as 2 Gene Classification in the figure legend. Here, subclassification of the accessory genome was performed using the twilight package [67]. In brief, the classification of each gene was first defined by determining their frequency within a lineage (Core, genes present in ≥95% of strains in a lineage; Int, genes present in ≥15% and ≤95% of strains; Rare, genes present in ≤15% of strains). The resulting gene classifications were then compared across each lineage using genome clusters defined with PopPUNK, which correspond to predicted lineages within the phylogeny (Collection core, genes core to the whole phylogeny; Lineage specific core, genes core to a single lineage; Multi-lineage core, genes core to ≥2 lineages). Genes defined by different classifications across lineages are given a combined class denoted by the green shading. Numbers of genes given on the x-axis refer to the total number of genes within each pangenome (core + accessory genes). Mosquito symbols are from https://phylopic.org. All code and data to recreate this figure can be found at https://github.com/MosAIC-Collection/MosAIC_V1. For Fig 5A the code and data are in the folder “07b_EnterobacterPangenome;” for Fig 5B, they are in the folder “07a_SerratiaPangenome,” and for Fig 5C, they are in the folder “07c_ElizabethkingiaPangenome.”
MosAIC: An annotated collection of mosquito-associated bacteria with high-quality genome assemblies

November 2024

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138 Reads

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1 Citation

Mosquitoes transmit medically important human pathogens, including viruses like dengue virus and parasites such as Plasmodium spp., the causative agent of malaria. Mosquito microbiomes are critically important for the ability of mosquitoes to transmit disease-causing agents. However, while large collections of bacterial isolates and genomic data exist for vertebrate microbiomes, the vast majority of work in mosquitoes to date is based on 16S rRNA gene amplicon data that provides limited taxonomic resolution and no functional information. To address this gap and facilitate future studies using experimental microbiome manipulations, we generated a bacterial Mosquito-Associated Isolate Collection (MosAIC) consisting of 392 bacterial isolates with extensive metadata and high-quality draft genome assemblies that are publicly available, both isolates and sequence data, for use by the scientific community. MosAIC encompasses 142 species spanning 29 bacterial families, with members of the Enterobacteriaceae comprising 40% of the collection. Phylogenomic analysis of 3 genera, Enterobacter, Serratia, and Elizabethkingia, reveal lineages of mosquito-associated bacteria isolated from different mosquito species in multiple laboratories. Investigation into species’ pangenomes further reveals clusters of genes specific to these lineages, which are of interest for future work to test for functions connected to mosquito host association. Altogether, we describe the generation of a physical collection of mosquito-associated bacterial isolates, their genomic data, and analyses of selected groups in context of genome data from closely related isolates, providing a unique, highly valuable resource for research on bacterial colonisation and adaptation within mosquito hosts. Future efforts will expand the collection to include broader geographic and host species representation, especially from individuals collected from field populations, as well as other mosquito-associated microbes, including fungi, archaea, and protozoa.


Fig. 2. Comparison of diversity metrics of bacterial communities in mosquitoes and their breeding sites. (A) Boxplots of alpha diversity values distribution for Shannon diversity index based on variance in species evenness, are represented for each sample type (water, blue; larvae, orange; adults, dark red) over time. Significance between sample types and time was determined using analysis of variance (ANOVA) based on a linear model. Boxplots with different letters indicate significant differences based on post-hoc tests used to compare sample types at each collection time point. (B) Venn diagram showing ASVs shared across sample types. (C -E) Beta-diversity based on Bray-Curtis distances visualized in an NMDS plot. NMDS plots show the differences in the bacterial community composition of the DNA samples. Data were grouped and plotted according to sample type (C), time (D), and adult sex (E). Ellipses are drawn to represent the 95 % confidence regions for group clusters.
Fig. 4. Fate of PAHs in mesocosms and bioaccumulation within mosquito tissues. (A) Mean concentrations of PAHs in water samples (n=5, for each collection time point) and standard deviations are represented (blue, control mesocosm; red, treated mesocosm). Significant differences in PAHs concentration between mesocosms were determined using analysis of the variance (ANOVA) based on a linear model and post-hoc complementary analysis for each day comparison (*: pvalue<0.05; ns: p-value>0.05). (B) Barplots showing PAHs concentrations within pools of 10 larvae or adults over time in the control and treated mesocosms for each collection time point (28, pink; 63, blue; 91, purple). (C) Barplots showing the bioaccumulation of each PAH within larval tissues over time (blue, control mesocosm; red, treated mesocosm).
Bioaccumulation of polycyclic aromatic hydrocarbons and microbiota dynamics across developmental stages of the Asian tiger mosquito, Aedes albopictus exposed to urban pollutants

October 2024

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62 Reads

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1 Citation

Ecotoxicology and Environmental Safety

Aedes albopictus mosquitoes face numerous anthropic stressors in urban areas. These xenobiotics not only impact mosquito physiology but also shape the composition of their microbiota, which play important roles in host physiological traits. Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous environmental pollutants known to alter mosquito metabolism, but no studies have yet investigated their impact on microbiota. Using a bespoke indoor mesocosm tailored for Ae. albopictus mosquitoes, we investigated the dynamics of bacterial communities in both mosquitoes and their larval breeding sites following chronic exposure to a cocktail of PAHs consisting of benzo[a]pyrene, benz[a]anthracene, chrysene and benzo[b]fluoranthene. Our findings showed that PAHs have a stage-specific effect on mosquito microbiota, with a higher impact in larvae than in adults, contributing to 12.5 % and 4.5 % of the PAHs-induced variations, respectively. The presence of PAHs in the treated mesocosm led to the enrichment of bacterial families and genera known for their ability to catabolize PAHs, such as Comamonadaceae and Raoultella (increasing from 19 % to 30 % and from 1.2 % to 5.6 %, respectively). Conversely, prevalent taxa found in mosquito microbiota like Wolbachia and Cedecea exhibited a reduction (decreasing from 4 % to 0.8 % and from 12.8 % to 6.4 %, respectively). This reduction could be attributed to the competitive advantage gained by PAH-degrading taxa, or it could reflect a direct sensitivity to PAH exposure. Overall, this indicates a shift in microbiota composition favoring bacteria that can thrive in a PAH-contaminated environment. PAHs persisted in the water of breeding sites only the first 45 days of the experiment. Benzo[a]pyrene and benzo[b]fluoranthene were more susceptible to bioaccumulation in larval tissues over time. Overall, this study enhances our understanding of the impact of pollution on mosquitoes and could facilitate future research on the importance of symbiosis in urban-dwelling insect disease vectors. Given the recent advancements in the generation of axenic (microbe-free) and gnotobiotic (mosquitoes with a defined or specific microbiota) mosquitoes, further studies are needed to explore how changes in microbiota composition could influence mosquito responses to pollution, particularly in relation to host fitness, immunity, and vector competence.


Pollution gradients shape microbial communities associated with Ae. albopictus larval habitats in urban community gardens

September 2024

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42 Reads

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2 Citations

FEMS Microbiology Ecology

The Asian tiger mosquito Aedes albopictus is well adapted to urban environments and takes advantage of the artificial containers that proliferate in anthropized landscapes. Little is known about the physicochemical, pollutant and microbiota compositions of Ae. albopictus-colonized aquatic habitats and whether these properties differ with noncolonized habitats. We specifically addressed this question in French community gardens by investigating whether pollution gradients (characterized either by water physicochemical properties combined with pollution variables or by the presence of organic molecules in water) influence water microbial composition and then the presence/absence of Ae. albopictus mosquitoes. Interestingly, we showed that the physicochemical and microbial compositions of noncolonized and colonized waters did not significantly differ, with the exception of N2O and CH4 concentrations, which were higher in noncolonized water samples. Moreover, the microbial composition of larval habitats covaried differentially along the pollution gradients according to colonization status. This study opens new avenues on the impact of pollution on mosquito habitats in urban areas and raises questions on the influence of biotic and abiotic interactions on adult life history traits and their ability to transmit pathogens to humans.


Environmental yeasts differentially impact the development and oviposition behavior of the Asian tiger mosquito Aedes albopictus

July 2024

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80 Reads

Background While the Asian tiger mosquito (Aedes albopictus), a known vector of many arboviruses, establishes symbiotic associations with environmentally acquired yeasts, their impact on mosquito biology remains poorly investigated. To better understand these associations, we hypothesized that water-borne yeasts colonizing the larval gut differentially support mosquito development based on their capacity to produce riboflavin or recycle nitrogen waste into proteins by secreting uricase, as B vitamins and amino acids are crucial for mosquito development. To address this hypothesis, we used axenic and gnotobiotic insects to gauge the specific impact of different environmental yeasts on Ae. albopictus development and survival. We then evaluated whether the observed variations across yeast species could be linked to differential uricolytic activities and varying quantities of riboflavin and proteins in insecta. Finally, given that mosquito breeding site selection favors conditions that enhance offspring performance, we tested whether yeasts that promote faster development mediate oviposition site selection by gravid females. Results Differences in mosquito development times were observed based on the environmental yeast used. Yeasts like Rhodotorula mucilaginosa, Aureobasidium pullulans, and Wickerhamomyces anomalus promoted rapid development and were associated with improved survival. Conversely, yeasts such as Torulaspora delbrueckii and Martiniozyma asiatica, which led to slower development, produced smaller adults. Notably, R. mucilaginosa, which promoted the fastest development, provided higher riboflavin intakes and might enhance nitrogenous waste recycling and protein synthesis through strong uricolytic activity. Behavioral experiments indicated that yeasts promoting rapid development attract gravid females. Conclusions Our findings highlight that a set of environmental yeasts present in natural larval breeding sites can be associated with improved mosquito development and survival by enhancing nutritional intake, thereby attracting gravid females. Variations in mosquito development time are likely linked to the differential levels of riboflavin production and nitrogenous waste recycling capacities among yeast species. This study opens new perspectives on the trophic interactions between mosquitoes and their mycobiota, emphasizing the importance of nitrogen-containing molecules such as essential amino acids, proteins or vitamins provided by the mycobiota.


Variation in diet concentration and bacterial inoculum size in larval habitat shapes the performance of the Asian tiger mosquito, Aedes albopictus

May 2024

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75 Reads

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1 Citation

Background Ecological niches present unique environmental and biological trademarks such as abiotic conditions, nutrient availability and trophic interactions that may impact ecology of living organisms. Female mosquitoes deposit their eggs in aquatic niches with fluctuating diet sources and microbial communities. However, how niche’s diet and microbial composition impact mosquitoperformance (i.e. traits that maximizes the mosquito fitness) are not well understood. In this study, we focused on the Asian tiger mosquito, Aedes albopictus, one of the most invasive species in the world and a competent vector for human pathogens. To remove any external microbes, Ae. albopictus eggs were surface sterilized then hatching larvae were exposed to a gradient of bacterial inoculum (i.e. initial microbial load) and diet concentrations while their impact on mosquito performance traits during juvenile development was measured. Results Our results showed that Ae. albopictus larvae develop faster and give larger adults when exposed to microbiota in rearing water. However, mosquito performance, up to the adult stage, depends on both bacterial inoculum size and diet concentration in the aquatic habitat. Upon low inoculum size, larvae survived better if diet is in sufficient amount whereas a higher inoculum size was associated with an optimal larvae survival only in presence of lower amount of diet. Inoculum size, and to a lesser extent diet concentration, shaped bacterial community structure and composition of larval rearing water allowing the identification of bacterial taxa for which their abundance in larvae rearing water correlated with niche parameters and/or larval traits. Conclusions Our work demonstrates that both diet concentration and bacterial inoculum size impact mosquito performance possibly by shaping bacterial community structure in the larval habitat, which account for a large part of the juvenile’s microbiota. Host-microbe interactions influence several mosquito life-history traits, and our work reveals that niche parameters such as inoculum size and diet concentration could have numerous implications on the microbiota assembly and host evolutionary trajectory. This underlies that host-microbe-environment interactions are an important yet overlooked factor of mosquito adaptation to its local environment, with potential future implications for vector control and vector ecology.


Experimental design for the comparison of RNAi delivery methods in Aedes albopictus larvae. Using RNA total extraction, dsRNAs were amplified from 4 target genes (COL, KYN, VEN, YEL). Different non-invasive delivery methods (soaking, rehydration and nanoparticles ingestion) were tested separately with the same dsRNA concentration for each of the 4 genes. Finally, gene silencing efficiency was estimated with RT-qPCR using primers hybridizing either within or outside the gene-matching sequence of the dsRNA. A total of 10 replicates (10 independent well) were performed per condition (i.e., target gene x delivey method) and a pool of 5 larvae was analyzed per replicate
Differential expression of each target gene and delivery method in presence of non-specific and specific dsRNAs. The relative gene expression has been represented for each gene (COL, KYN, VEN, YEL) either with a control involving non-specific dsRNA (dsGFP) or with dsRNA targeting each gene (i.e., dsCOL, dsKYN, dsVEN, dsYEL). Different dsRNAs were represented by a different color. A The gene expression has been estimated with primers matching within the specific dsRNA matching site and B outside of it. The black hatched line represents the mean for control condition (i.e., GFP). Each dot is a pool of 5 larvae collected in the same well. The value of relative gene expression is represented using a logscale defined as log10(1 + value)
Differential expression of each target gene and delivery method in presence or absence of non-specific dsRNA. The relative gene expression has been represented for each target gene (COL, KYN, VEN, YEL) either with non-specific dsRNA (dsGFP) or in absence of dsRNA (H2O). Different colors represent the different treatments (i.e., H2O and dsGFP). A The gene expression has been estimated with primers matching within the specific dsRNA matching site and B outside of it. The black hatched line represents the mean for control condition (i.e., H2O). Each dot is a pool of 5 larvae collected in the same well. The value of relative gene expression is represented using a logscale defined as log10(1 + value)
Correlations between gene silencing efficiency and gene characteristics. Correlations between gene silencing efficiency and different gene characteristics has been investigated. Different symbols (▲, ●, ■) and colors (yellow, red and gray) represent different delivery methods (nanoparticles, rehydration, soaking respectively). Non-parametric Spearman correlations were estimated between the silencing efficiency of target genes and A the mRNA relative expression, B the copy number of each gene within the genome of Ae. albopictus,B the GC content (%) and C their transcript size and reported in Table 3. Each dot is a pool of 5 larvae collected in the same well
Evaluation of non-invasive dsRNA delivery methods for the development of RNA interference in the Asian tiger mosquito Aedes albopictus

The Asian tiger mosquito Aedes albopictus is one of the most invasive species and an efficient vector of several pathogens. RNA interference (RNAi) has been proposed as an alternative method to control mosquito populations by silencing the expression of genes that are essential for their survival. However, the optimal delivery method for dsRNAs to enhance an optimal RNAi remains elusive and comparative studies are lacking. We have, therefore, compared the efficiency of three non-invasive delivery methods to mosquito larvae: soaking, rehydration and nanoparticle ingestion. Each method was tested separately on four genes predicted to code non-essential proteins (i.e., collagenase-like, kynurenine 3-monooxygenase-like, yellow-like and venom serine protease-like) in order to be able to compare the importance of gene knock-down. All tested methods successfully downregulated mosquito gene expression. However, silencing efficiency strongly varies among methods and genes. Silencing (95.1%) was higher for Kynurenine 3-monooxygenase-like with rehydration and nanoparticle ingestion (61.1%). For the Venom serine protease-like, the most efficient silencing was observed with soaking (74.5%) and rehydration (34%). In contrast, the selected methods are inefficient to silence the other genes. Our findings also indicate that gene copy numbers, transcript sizes and GC content correlate with the silencing efficiency. From our results, rehydration was the most specific and efficient methods to specifically knock-down gene expression in Ae. albopictus larvae. Nevertheless, considering the observed variability of efficiency is gene-dependent, our results also point at the necessity to test and optimize diverse dsRNA delivery approaches to achieve a maximal RNAi efficiency.


Fig. 3. Correlations between Ascogregarina OTUs abundance and the mosquito population age. A) The age of the mosquito populations and the relative abundance of the three dominant Ascogregarina are represented for female and male mosquitoes. B) The age of the mosquito populations and the absolute abundance of the three dominant Ascogregarina are represented for female and male mosquitoes. The P-value represents the significance of the spearman correlation between OTUs absolute abundances and the age of the population (number of years between introduction and sampling). The native population was set to 200 years after introduction to be ranked at the end of the x-axis.
Summary of statistical analyses.
Human-aided dispersal and population bottlenecks facilitate parasitism escape in the most invasive mosquito species

April 2024

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97 Reads

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1 Citation

PNAS Nexus

During biological invasion process, species encounter new environments and partially escape some ecological constraints they faced in their native range, while they face new ones. The Asian tiger mosquito Aedes albopictus is one of the most iconic invasive species introduced in every inhabited continent due to international trade. It has also been shown to be infected by a prevalent yet disregarded microbial entomoparasite Ascogregarina taiwanensis. In this study, we aimed at deciphering the factors that shape the global dynamics of As. taiwanensis infection in natural Ae. albopictus populations. We showed that Ae. albopictus populations are highly colonized by several parasite genotypes but recently introduced ones are escaping it. We further performed experiments based on the invasion process to explain such pattern. To that end, we hypothesized that (i) mosquito passive dispersal (i.e. human-aided egg transportation) may affect the parasite infectiveness, (ii) founder effects (i.e. population establishment by a small number of mosquitoes) may influence the parasite dynamics and (iii) unparasitized mosquitoes are more prompt to found new populations through active flight dispersal. The two first hypotheses were supported as we showed that parasite infection decreases over time when dry eggs are stored and that experimental increase in mosquitoes’ density improves the parasite horizontal transmission to larvae. Surprisingly, parasitized mosquitoes tend to be more active than their unparasitized relatives. Finally, this study highlights the importance of global trade as a driver of biological invasion of the most invasive arthropod vector species.




Citations (13)


... The microbial diversity between the different insectaries was comparatively similar when considering the main taxa per sample type, except for fish food. Mosquito microbiomes were dominated by bacterial genera commonly seen in mosquito studies, including Asaia, Elizabethkingia and Delftia (Foo et al. 2024;Lin et al. 2021;Scolari, Casiraghi, and Bonizzoni 2019). We found differences in microbiome composition between the different insectaries which may be related to differences in abiotic and biotic factors, including bacterial input via food sources. ...

Reference:

Mosquitoes Reared in Nearby Insectaries at the Same Institution Have Significantly Divergent Microbiomes
MosAIC: An annotated collection of mosquito-associated bacteria with high-quality genome assemblies

... As the colonization progresses, fluctuations in the population dynamics of Comamonadaceae may play a key role in supporting the mosquito's immunological defenses and overall growth. These changes in abundance may reflect the adaptive strategies of this family within the mosquito's microbiota, ultimately contributing to the host's physiological homeostasis [38]. ...

Bioaccumulation of polycyclic aromatic hydrocarbons and microbiota dynamics across developmental stages of the Asian tiger mosquito, Aedes albopictus exposed to urban pollutants

Ecotoxicology and Environmental Safety

... The solution was autoclaved prior to being aliquoted (1 mL) and frozen (-20°C) until use. Aedes albopictus larvae free from non-intracellular microbiota (so-called thereafter axenic larvae) were generated using an egg sterilization protocol adapted from Correa et al. [51] and Raquin et al. [52]. Brie y, eggs xed on a blotting paper were gently unhooked using a toothbrush and transferred into a 50 mL conical sterile tube with lter cap (Greiner Bio-One). ...

Variation in diet concentration and bacterial inoculum size in larval habitat shapes the performance of the Asian tiger mosquito, Aedes albopictus

... albopictus before and after blood feeding, as well as in eggs, suggesting that it can be transmitted among generations [71]. Targeting Chryseobacterium with an antimicrobiota vaccine in Ae. albopictus decreased Chryseobacterium relative abundance, altered the bacterial community structure and impaired fecundity and egg-hatching rate in vaccinated mosquitoes [75]. While these OTUs emerge as potential keystone species of Ae. albopictus microbiome with a potential for vector control, it is worth noting that interbacterial or even interkingdom interactions can shape the microbiome of their host, with an impact on its performance [76,77]. ...

Hierarchical shift of the Aedes albopictus microbiota caused by anti-microbiota vaccine increases fecundity and egg hatching rate in female mosquitoes

FEMS Microbiology Ecology

... More data are needed on Ae. albopictus transmission potential for a panel of European mosquito and virus strains. Notably, this would consider intra-vector infection dynamics which, combined to epidemiological modelling would help to better understand, anticipate and predict DENV circulation in Europe [33,34]. Beyond vector competence of a mosquito species, the potential of DENV transmission among humans also depends on vector-related (density per host, daily survival and daily biting rate per human) as well as host-related traits as proposed in the vectorial capacity model [35]. ...

Chikungunya intra-vector dynamics in Aedes albopictus from Lyon (France) upon exposure to a human viremia-like dose range reveals vector barrier’s permissiveness and supports local epidemic potential

Peer Community Journal

... Primers were tagged with the Illumina adapters 5 -GTC TCG TGG GCT CGG AGA TGT GTA TAA GA G A CA G-3 and 5 -TCG TCG GCA GCG TCA GAT GTG T A T AAG A GA CA G-3 , enabling a two-step PCR construction of amplicon libr aries. PCR amplifications wer e conducted in duplicate in a Bio-Rad T1000 thermal cycler (Bio-Rad, Hercules, USA) with 5 × HOT BioAmp Master Mix (Biofidal, France) containing 2 μl sample DNA and 1 μM of each primer as previously described (Zouache et al. 2022, Girard et al. 2023 ( Table S2 ). For r ecalcitr ant samples, PCR ad diti v es suc h as 10 × of GC ric h enhancer and 0.5 mg/ml of bovine serum albumin (New England Biolabs, Evry, France) were added to the PCR mix. ...

Human-aided dispersal facilitates parasitism escape in the most invasive mosquito species

... A study published in 2022 [73] investigated the mycobiota of Aedes albopictus (Asian tiger mosquitoes) in relation to fructose metabolism among the two sexes. Similar fungal genera were present among males and females; however, the dynamics varied over time. ...

Mosquito sex and mycobiota contribute to fructose metabolism in the Asian tiger mosquito Aedes albopictus

... albopictus adults. To our knowledge the genus Ascogregarina is the only gregarine that infects mosquitoes and is a parasite of the genus Aedes [47]. Similar to other gregarine endoparasites, A. taiwanensis displays host specificity [47]. ...

Gregarine parasites are adapted to mosquito winter diapause

... The nutritional composition of the andiroba biomass plays a key role in the production, yield, and physicochemical properties of BSAW. This finding supports the previous Molecules 2025, 30,618 7 of 14 studies, particularly Zuo et al. [16], highlighting the importance of substrate nutrients in the metabolism of biosurfactant-producing bacteria. The BSAW extraction yield of 4.42 mg mL −1 significantly exceeds the previous yield of 2.28 mg mL −1 , achieved with glycerol as a substrate using the same bacterial strain, while maintaining comparable emulsifying and surface-active properties [6]. ...

Larval habitat determines the bacterial and fungal microbiota of the mosquito vector Aedes aegypti
  • Citing Article
  • February 2022

FEMS Microbiology Ecology

... In contrast, active dispersers rely on aquatic habitat during certain life stages and can move to suitable habitat (aquatic or terrestrial) as adults. Many active dispersers use environmental cues to inform habitat selection (Bilton et al. 2001;Girard et al. 2021). Ozeri et al. (2020) found that aquatic habitats highly contaminated with fire retardant attracted more adult mosquitoes for oviposition and there was no negative impact on larvae survivorship. ...

Microorganisms Associated with Mosquito Oviposition Sites: Implications for Habitat Selection and Insect Life Histories

Microorganisms