title: The transcriptome of the mosquito Aedes fluviatilis (Diptera: Culicidae), and transcriptional changes associated with its native Wolbachia infection.
abstract: Wolbachia is a bacterial endosymbiont that naturally infects a wide range of insect species, and causes drastic changes to host biology. Stable infections of Wolbachia in mosquitoes can inhibit infection with medically important pathogens such as dengue virus and malaria-causing Plasmodium parasites. However, some native Wolbachia strains can enhance infection with certain pathogens, as is the case for the mosquito Aedes fluviatilis, where infection with Plasmodium gallinaceum is enhanced by the native wFlu Wolbachia strain. To better understand the biological interactions between mosquitoes and native Wolbachia infections, and to investigate the process of pathogen enhancement, we used RNA-Seq to generate the transcriptome of Ae. fluviatilis with and without Wolbachia infection.
  
  
  
  In total, we generated 22,280,160 Illumina paired-end reads from Wolbachia-infected and uninfected mosquitoes, and used these to make a de novo transcriptome assembly, resulting in 58,013 contigs with a median sequence length of 443 bp and an N50 of 2454 bp. Contigs were annotated through local alignments using BlastX, and associated with both gene ontology and KEGG orthology terms. Through baySeq, we identified 159 contigs that were significantly upregulated due to Wolbachia infection, and 98 that were downregulated. Critically, we saw no changes to Toll or IMD immune gene transcription, but did see evidence that wFlu infection altered the expression of several bacterial recognition genes, and immune-related genes that could influence Plasmodium infection. wFlu infection also had a widespread effect on a number of host physiological processes including protein, carbohydrate and lipid metabolism, and oxidative stress. We then compared our data set with transcriptomic data for other Wolbachia infections in Aedes aegypti, and identified a core set of 15 gene groups associated with Wolbachia infection in mosquitoes.
  
  
  
  While the scale of transcriptional changes associated with wFlu infection might be small, the scope is rather large, which confirms that native Wolbachia infections maintain intricate molecular relationships with their mosquito hosts even after lengthy periods of co-evolution. We have also identified several potential means through which wFlu infection might influence Plasmodium infection in Ae. fluviatilis, and these genes should form the basis of future investigation into the enhancement of Plasmodium by Wolbachia.
authors.affiliation: Grupo Mosquitos Vetores: Endossimbiontes e Interação Patógeno Vetor, Centro de Pesquisas René Rachou - Fiocruz, Belo Horizonte, Minas Gerais, Brazil.
authors.forename: E P
authors.initials: EP
authors.lastname: Caragata
authors.affiliation: Grupo de Informática de Biossistemas e Genômica, Centro de Pesquisas René Rachou - Fiocruz, Belo Horizonte, Minas Gerais, Brazil.
authors.forename: F S
authors.initials: FS
authors.lastname: Pais
authors.affiliation: Grupo Mosquitos Vetores: Endossimbiontes e Interação Patógeno Vetor, Centro de Pesquisas René Rachou - Fiocruz, Belo Horizonte, Minas Gerais, Brazil.
authors.forename: L A
authors.initials: LA
authors.lastname: Baton
authors.affiliation: Grupo Mosquitos Vetores: Endossimbiontes e Interação Patógeno Vetor, Centro de Pesquisas René Rachou - Fiocruz, Belo Horizonte, Minas Gerais, Brazil.
authors.forename: J B L
authors.initials: JB
authors.lastname: Silva
authors.affiliation: Instituto de Bioquímica Médica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
authors.forename: M H F
authors.initials: MH
authors.lastname: Sorgine
authors.affiliation: Grupo Mosquitos Vetores: Endossimbiontes e Interação Patógeno Vetor, Centro de Pesquisas René Rachou - Fiocruz, Belo Horizonte, Minas Gerais, Brazil. luciano@cpqrr.fiocruz.br.
authors.forename: L A
authors.initials: LA
authors.lastname: Moreira
mesh_terms: D000330:Aedes / Q000235:genetics* / Q000382:microbiology*; D000818:Animals; D019295:Computational Biology / Q000379:methods; D020451:Contig Mapping; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D063990:Gene Ontology; D059014:High-Throughput Nucleotide Sequencing; D054884:Host-Pathogen Interactions / Q000235:genetics*; D058977:Molecular Sequence Annotation; D059467:Transcriptome; D020577:Wolbachia
keywords: Aedes fluviatilis; Metabolism; Mosquito; Oxidative stress; RNA-Seq; Symbiont; Transcriptome; Vector control; Wolbachia