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

Detalhes bibliográficos
Autor(a) principal: Fukutani, Kiyoshi Ferreira
Data de Publicação: 2017
Outros Autores: Kasprzykowski, José Irahe, Paschoal, Alexandre Rossi, Gomes, Matheus de Souza, Barral, Aldina Maria Prado, Oliveira, Camila Indiani de, Ramos, Pablo Ivan Pereira, Queiroz, Artur Trancoso Lopo de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/24867
Resumo: Fundação 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).
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spelling Fukutani, Kiyoshi FerreiraKasprzykowski, José IrahePaschoal, Alexandre RossiGomes, Matheus de SouzaBarral, Aldina Maria PradoOliveira, Camila Indiani deRamos, Pablo Ivan PereiraQueiroz, Artur Trancoso Lopo de2018-02-16T18:06:45Z2018-02-16T18:06:45Z2017FUKUTANI, 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, 2018.2296-4185https://www.arca.fiocruz.br/handle/icict/2486710.3389/fbioe.2017.00084Fundação 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).Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, BrasilFundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Pós-Graduação em Biotecnologia em Saúde e Medicina de Investigação. Salvador, BA, BrasilFederal University of Technology. Cornélio Procópio, PR, BrazilUniversity of Uberlândia. Patos de Minas, MG, BrazilFundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Federal University of Bahia. School of Medicine. Post-Graduation Program in Health Sciences.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Federal University of Bahia. School of Medicine. Post-Graduation Program in Health Sciences.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, BrasilFundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Pós-Graduação em Biotecnologia em Saúde e Medicina de Investigação. Salvador, BA, Brasil / Universidade Estadual de Feira de Santana. Programa de Pós-Graduação em Computação Aplicada. Feira de Santana, BA, BrasilThe 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.engFrontiers MediaAedes aegyptiAlimentaçãoAlimentação sanguíneaMeta-análiseTranscriptômicaDoenças transmitidas por vetoresInfecção por vírusAedes aegyptiAlimentationBlood-feedingMeta-analysisTranscriptomicsVector-borne diseasesVirus infectionMeta-Analysis of Aedes aegypti Expression Datasets: Comparing Virus Infection and Blood-Fed Transcriptomes to Identify Markers of Virus Presenceinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/24867/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALFukutani KF Meta - Analysis of Aedes aegypti Expression Datasets .........pdfFukutani KF Meta - 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dc.title.pt_BR.fl_str_mv Meta-Analysis of Aedes aegypti Expression Datasets: Comparing Virus Infection and Blood-Fed Transcriptomes to Identify Markers of Virus Presence
title Meta-Analysis of Aedes aegypti Expression Datasets: Comparing Virus Infection and Blood-Fed Transcriptomes to Identify Markers of Virus Presence
spellingShingle Meta-Analysis of Aedes aegypti Expression Datasets: Comparing Virus Infection and Blood-Fed Transcriptomes to Identify Markers of Virus Presence
Fukutani, Kiyoshi Ferreira
Aedes aegypti
Alimentação
Alimentação sanguínea
Meta-análise
Transcriptômica
Doenças transmitidas por vetores
Infecção por vírus
Aedes aegypti
Alimentation
Blood-feeding
Meta-analysis
Transcriptomics
Vector-borne diseases
Virus infection
title_short Meta-Analysis of Aedes aegypti Expression Datasets: Comparing Virus Infection and Blood-Fed Transcriptomes to Identify Markers of Virus Presence
title_full Meta-Analysis of Aedes aegypti Expression Datasets: Comparing Virus Infection and Blood-Fed Transcriptomes to Identify Markers of Virus Presence
title_fullStr Meta-Analysis of Aedes aegypti Expression Datasets: Comparing Virus Infection and Blood-Fed Transcriptomes to Identify Markers of Virus Presence
title_full_unstemmed Meta-Analysis of Aedes aegypti Expression Datasets: Comparing Virus Infection and Blood-Fed Transcriptomes to Identify Markers of Virus Presence
title_sort Meta-Analysis of Aedes aegypti Expression Datasets: Comparing Virus Infection and Blood-Fed Transcriptomes to Identify Markers of Virus Presence
author Fukutani, Kiyoshi Ferreira
author_facet Fukutani, Kiyoshi Ferreira
Kasprzykowski, José Irahe
Paschoal, Alexandre Rossi
Gomes, Matheus de Souza
Barral, Aldina Maria Prado
Oliveira, Camila Indiani de
Ramos, Pablo Ivan Pereira
Queiroz, Artur Trancoso Lopo de
author_role author
author2 Kasprzykowski, José Irahe
Paschoal, Alexandre Rossi
Gomes, Matheus de Souza
Barral, Aldina Maria Prado
Oliveira, Camila Indiani de
Ramos, Pablo Ivan Pereira
Queiroz, Artur Trancoso Lopo de
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Fukutani, Kiyoshi Ferreira
Kasprzykowski, José Irahe
Paschoal, Alexandre Rossi
Gomes, Matheus de Souza
Barral, Aldina Maria Prado
Oliveira, Camila Indiani de
Ramos, Pablo Ivan Pereira
Queiroz, Artur Trancoso Lopo de
dc.subject.other.pt_BR.fl_str_mv Aedes aegypti
Alimentação
Alimentação sanguínea
Meta-análise
Transcriptômica
Doenças transmitidas por vetores
Infecção por vírus
topic Aedes aegypti
Alimentação
Alimentação sanguínea
Meta-análise
Transcriptômica
Doenças transmitidas por vetores
Infecção por vírus
Aedes aegypti
Alimentation
Blood-feeding
Meta-analysis
Transcriptomics
Vector-borne diseases
Virus infection
dc.subject.en.pt_BR.fl_str_mv Aedes aegypti
Alimentation
Blood-feeding
Meta-analysis
Transcriptomics
Vector-borne diseases
Virus infection
description Fundação 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).
publishDate 2017
dc.date.issued.fl_str_mv 2017
dc.date.accessioned.fl_str_mv 2018-02-16T18:06:45Z
dc.date.available.fl_str_mv 2018-02-16T18:06:45Z
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dc.identifier.citation.fl_str_mv FUKUTANI, 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.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/24867
dc.identifier.issn.pt_BR.fl_str_mv 2296-4185
dc.identifier.doi.none.fl_str_mv 10.3389/fbioe.2017.00084
identifier_str_mv FUKUTANI, 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.
2296-4185
10.3389/fbioe.2017.00084
url https://www.arca.fiocruz.br/handle/icict/24867
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