Blood meal source and mixed blood-feeding influence gut bacterial community composition in Aedes aegypti

Abstract

Background The guts of blood-sucking insects host a community of bacteria that can shift dramatically in response to biotic and abiotic factors. Identifying the key factors structuring these microbial communities has important ecological and epidemiological implications. Methods We used the yellow fever mosquito, Aedes aegypti, to investigate the impact of mixed blood meals on gut microbiota of vector mosquitoes. Adult females were experimentally fed on sugar or blood from chicken, rabbit or a mixture of chicken and rabbit blood, and their gut microbiota were characterized using 16S rRNA gene amplification and MiSeq sequencing. Results The gut bacterial communities of mosquitoes fed on the three blood meal treatments clustered separately, suggesting that host species identity and mixed blood-feeding are key determinants of gut bacterial community composition in mosquitoes. Mixed blood meal had a synergistic effect on both operational taxonomic unit (OTU) richness and the Shannon diversity index, suggesting that mixed blood-feeding can offset the nutritional deficit of blood meals from certain host species. The microbial communities observed in this study were distinct from those identified from similarly fed Ae. aegypti from our previous study. Conclusions These findings demonstrate that vector host-feeding preferences can influence gut microbial composition and diversity, which could potentially impact pathogen acquisition and transmission by the vector. The results also demonstrate that different microenvironmental conditions within the laboratory may play an important role in structuring the microbial communities of independently reared mosquito colonies.

Educação em saúde para o controle de Aedes aegypti

“…Os mosquitos vetores de doenças podem se alimentar de sangue em vários hospedeiros vertebrados dentro do mesmo ciclo gonotrófico e a fonte de alimentação de sangue pode ter um forte impacto sobre a microbiota do vetor (GONZALEZ et al, 2015). Muturi et al (2021) observaram que a alimentação mista de sangue é determinante na composição da comunidade bacteriana do intestino em mosquitos. Em outro estudo, Muturi et al, (2018) detectaram 284 unidades taxonômicas operacionais bacterianas (OTUs), pertencentes a 14 filos em nove espécies de mosquitos, como Actinobacteria, Firmicutes e Proteobacteria, representando 95% do total de sequências.…”

“…Até o momento, estudos independentes mostram que os intestinos de mosquitos do gênero Aedes, Anopheles e Culex apresentam um conjunto consistente de bactérias dos gêneros Acinetobacter, Aeromonas, Alcaligenes, Asaia, Bacillus, Brevibacterium, Brevibacillus, Citrobacter, Chryseobacterium, Corynebacterium, Delftia, Enterobacter, Enterococcus, Ehrlichia, Elizabethkingia, Escherichia, Exiguobacterium, Flavobacterium, Janibacter, Klebsiella, Kocuria, Leucobacter, Lisinibacillus, Microbacterium, Micrococcus, Neisseria, Nocardia, Paenibacillus, Pantoea, Providencia, Pseudomonas, Serratia, Shewanella, Shigella, Sphingomonas, Staphylococcus, Stenotrophomonas, Thorsellia, Xanthomonas e Wolbachia, as quais estão sendo melhor investigadas quanto aos seus efeitos na fisiologia, transmissão vertical/horizontal à prole, longevidade, fertilidade, e desintoxicação de agentes xenobióticos (GUSMÃO et al, 2010;ZOUACHE et al, 2011;TERENIUS et al, 2012;COON et al, 2014;MINARD et al, 2015;DADA et al, 2018;MUTURI et al, 2018MUTURI et al, , 2021.…”

Resistance to permethrin alters the gut microbiota of Aedes aegypti

“…Primers 341f and 806r were used to amplify the V3-V4 variable region of the 16S rRNA gene 37 , 38 . DNA libraries were prepared and sequenced as described in Muturi et al 39 . Sequencing was performed on an Illumina MiSeq system using the MiSeq V3 2 × 300 paired-end sequencing kit.…”

Sulphate-reducing bacterial community structure from produced water of the Periquito and Galo de Campina onshore oilfields in Brazil

“…The Non-Metric Dimensional Scaling (NMDS) analysis was used to visualize the (dis)similarities between the samples, with NMDS ordinations in two dimensions calculated from a Bray–Curtis dissimilarity matrix. The quality of the NMDS representation was evaluated through the generated stress value; considering values < 0.2 as good representation of the data 45 . To verify the separation of the groups observed in the NMDS, a Permutational Multivariate Analysis of Variance (PERMANOVA) was performed.…”