Meta-Analysis of Aedes aegypti Expression Datasets: Comparing Virus Infection and Blood-Fed Transcriptomes to Identify Markers of Virus Presence

dc.creatorFukutani, Kiyoshi Ferreira
dc.creatorKasprzykowski, José Irahe
dc.creatorPaschoal, Alexandre Rossi
dc.creatorGomes, Matheus de Souza
dc.creatorBarral, Aldina Maria Prado
dc.creatorOliveira, Camila Indiani de
dc.creatorRamos, Pablo Ivan Pereira
dc.creatorQueiroz, Artur Trancoso Lopo de
dc.date2018-02-16T18:06:45Z
dc.date2018-02-16T18:06:45Z
dc.date2017
dc.date.accessioned2023-09-26T22:38:58Z
dc.date.available2023-09-26T22:38:58Z
dc.identifierFUKUTANI, K. F. et al. Meta-Analysis of Aedes aegypti Expression Datasets: Comparing Virus Infection and Blood-Fed Transcriptomes to Identify Markers of Virus Presence. Frontiers in Bioengineering and Biotechnology, v. 5, 2018.
dc.identifier2296-4185
dc.identifierhttps://www.arca.fiocruz.br/handle/icict/24867
dc.identifier10.3389/fbioe.2017.00084
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8881479
dc.descriptionFundação de Amparo à Pesquisa do Estado da Bahia (FAPESB process no. JCB0004/2013). KF was supported by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP no. 2017/03491-6). AP acknowledges financial support from CNPq—Grant Edital Universal MCTI/CNPQ/Universal14/2014 (Process No.: 454505/2014-0).
dc.descriptionThe mosquitoAedes aegypti(L.) is vector of several arboviruses including dengue, yellow fever, chikungunya, and more recently zika. Previous transcriptomic studies have been performed to elucidate altered pathways in response to viral infection. However, the intrinsic coupling between alimentation and infection were unappreciated in these studies. Feeding is required for the initial mosquito contact with the virus and these events are highly dependent. Addressing this relationship, we reinterrogated datasets of virus-infected mosquitoes with two different diet schemes (fed and unfed mosquitoes), evaluating the metabolic cross-talk during both processes. We constructed coexpression networks with the differentially expressed genes of these comparison: virus-infected versus blood-fed mosquitoes and virus-infected versus unfed mosquitoes. Our analysis identified one module with 110 genes that correlated with infection status (representing ~0.7% of theA. aegyptigenome). Furthermore, we performed a machine-learning approach and summarized the infection status using only four genes (AAEL012128, AAEL014210, AAEL002477, and AAEL005350). While three of the four genes were annotated as hypothetical proteins, AAEL012128 gene is a membrane amino acid transporter correlated with viral envelope binding. This gene alone is able to discriminate all infected samples and thus should have a key role to discriminate viral infection in theA. aegyptimosquito. Moreover, validation using external datasets found this gene as differentially expressed in four transcriptomic experiments. Therefore, these genes may serve as a proxy of viral infection in the mosquito and the others 106 identified genes provides a framework to future studies.
dc.formatapplication/pdf
dc.languageeng
dc.publisherFrontiers Media
dc.rightsopen access
dc.subjectAedes aegypti
dc.subjectAlimentação
dc.subjectAlimentação sanguínea
dc.subjectMeta-análise
dc.subjectTranscriptômica
dc.subjectDoenças transmitidas por vetores
dc.subjectInfecção por vírus
dc.subjectAedes aegypti
dc.subjectAlimentation
dc.subjectBlood-feeding
dc.subjectMeta-analysis
dc.subjectTranscriptomics
dc.subjectVector-borne diseases
dc.subjectVirus infection
dc.titleMeta-Analysis of Aedes aegypti Expression Datasets: Comparing Virus Infection and Blood-Fed Transcriptomes to Identify Markers of Virus Presence
dc.typeArticle


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