Meta-Analysis of Aedes aegypti Expression Datasets: Comparing Virus Infection and Blood-Fed Transcriptomes to Identify Markers of Virus Presence
The mosquito Aedes 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...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2018-01-01
|
| Series: | Frontiers in Bioengineering and Biotechnology |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/article/10.3389/fbioe.2017.00084/full |
| _version_ | 1818994632729559040 |
|---|---|
| author | Kiyoshi Ferreira Fukutani José Irahe Kasprzykowski José Irahe Kasprzykowski Alexandre Rossi Paschoal Matheus de Souza Gomes Aldina Barral Aldina Barral Camila I. de Oliveira Camila I. de Oliveira Pablo Ivan Pereira Ramos Artur Trancoso Lopo de Queiroz Artur Trancoso Lopo de Queiroz Artur Trancoso Lopo de Queiroz |
| author_facet | Kiyoshi Ferreira Fukutani José Irahe Kasprzykowski José Irahe Kasprzykowski Alexandre Rossi Paschoal Matheus de Souza Gomes Aldina Barral Aldina Barral Camila I. de Oliveira Camila I. de Oliveira Pablo Ivan Pereira Ramos Artur Trancoso Lopo de Queiroz Artur Trancoso Lopo de Queiroz Artur Trancoso Lopo de Queiroz |
| author_sort | Kiyoshi Ferreira Fukutani |
| collection | DOAJ |
| description | The mosquito Aedes 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 the A. aegypti genome). 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 the A. aegypti mosquito. 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. |
| first_indexed | 2024-12-20T21:01:02Z |
| format | Article |
| id | doaj.art-2ccf61e0b69d4be18f780095cdd5f75c |
| institution | Directory Open Access Journal |
| issn | 2296-4185 |
| language | English |
| last_indexed | 2024-12-20T21:01:02Z |
| publishDate | 2018-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj.art-2ccf61e0b69d4be18f780095cdd5f75c2022-12-21T19:26:42ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852018-01-01510.3389/fbioe.2017.00084323624Meta-Analysis of Aedes aegypti Expression Datasets: Comparing Virus Infection and Blood-Fed Transcriptomes to Identify Markers of Virus PresenceKiyoshi Ferreira Fukutani0José Irahe Kasprzykowski1José Irahe Kasprzykowski2Alexandre Rossi Paschoal3Matheus de Souza Gomes4Aldina Barral5Aldina Barral6Camila I. de Oliveira7Camila I. de Oliveira8Pablo Ivan Pereira Ramos9Artur Trancoso Lopo de Queiroz10Artur Trancoso Lopo de Queiroz11Artur Trancoso Lopo de Queiroz12Instituto Gonçalo Moniz, Fundação Oswaldo Cruz (FIOCRUZ), Salvador, BrazilInstituto Gonçalo Moniz, Fundação Oswaldo Cruz (FIOCRUZ), Salvador, BrazilPost-Graduation Program in Biotechnology in Health and Investigative Medicine, Fundação Oswaldo Cruz (FIOCRUZ), Salvador, BrazilFederal University of Technology—Paraná, UTFPR, Campus Cornélio Procópio, Cornélio Procópio, BrazilFederal University of Uberlândia, Patos de Minas, BrazilInstituto Gonçalo Moniz, Fundação Oswaldo Cruz (FIOCRUZ), Salvador, BrazilPost-Graduation Program in Health Sciences, School of Medicine, Federal University of Bahia, Salvador, BrazilInstituto Gonçalo Moniz, Fundação Oswaldo Cruz (FIOCRUZ), Salvador, BrazilPost-Graduation Program in Health Sciences, School of Medicine, Federal University of Bahia, Salvador, BrazilInstituto Gonçalo Moniz, Fundação Oswaldo Cruz (FIOCRUZ), Salvador, BrazilInstituto Gonçalo Moniz, Fundação Oswaldo Cruz (FIOCRUZ), Salvador, BrazilPost-Graduation Program in Biotechnology in Health and Investigative Medicine, Fundação Oswaldo Cruz (FIOCRUZ), Salvador, BrazilPost-Graduation Program in Applied Computation, Universida de Estadual de Feira de Santana, Feira de Santana, BrazilThe mosquito Aedes 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 the A. aegypti genome). 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 the A. aegypti mosquito. 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.http://journal.frontiersin.org/article/10.3389/fbioe.2017.00084/fullAedes aegyptialimentationblood-feedingmeta-analysistranscriptomicsvector-borne diseases |
| spellingShingle | Kiyoshi Ferreira Fukutani José Irahe Kasprzykowski José Irahe Kasprzykowski Alexandre Rossi Paschoal Matheus de Souza Gomes Aldina Barral Aldina Barral Camila I. de Oliveira Camila I. de Oliveira Pablo Ivan Pereira Ramos Artur Trancoso Lopo de Queiroz Artur Trancoso Lopo de Queiroz Artur Trancoso Lopo de Queiroz 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 Aedes aegypti alimentation blood-feeding meta-analysis transcriptomics vector-borne diseases |
| title | 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_short | 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 |
| topic | Aedes aegypti alimentation blood-feeding meta-analysis transcriptomics vector-borne diseases |
| url | http://journal.frontiersin.org/article/10.3389/fbioe.2017.00084/full |
| work_keys_str_mv | AT kiyoshiferreirafukutani metaanalysisofaedesaegyptiexpressiondatasetscomparingvirusinfectionandbloodfedtranscriptomestoidentifymarkersofviruspresence AT joseirahekasprzykowski metaanalysisofaedesaegyptiexpressiondatasetscomparingvirusinfectionandbloodfedtranscriptomestoidentifymarkersofviruspresence AT joseirahekasprzykowski metaanalysisofaedesaegyptiexpressiondatasetscomparingvirusinfectionandbloodfedtranscriptomestoidentifymarkersofviruspresence AT alexandrerossipaschoal metaanalysisofaedesaegyptiexpressiondatasetscomparingvirusinfectionandbloodfedtranscriptomestoidentifymarkersofviruspresence AT matheusdesouzagomes metaanalysisofaedesaegyptiexpressiondatasetscomparingvirusinfectionandbloodfedtranscriptomestoidentifymarkersofviruspresence AT aldinabarral metaanalysisofaedesaegyptiexpressiondatasetscomparingvirusinfectionandbloodfedtranscriptomestoidentifymarkersofviruspresence AT aldinabarral metaanalysisofaedesaegyptiexpressiondatasetscomparingvirusinfectionandbloodfedtranscriptomestoidentifymarkersofviruspresence AT camilaideoliveira metaanalysisofaedesaegyptiexpressiondatasetscomparingvirusinfectionandbloodfedtranscriptomestoidentifymarkersofviruspresence AT camilaideoliveira metaanalysisofaedesaegyptiexpressiondatasetscomparingvirusinfectionandbloodfedtranscriptomestoidentifymarkersofviruspresence AT pabloivanpereiraramos metaanalysisofaedesaegyptiexpressiondatasetscomparingvirusinfectionandbloodfedtranscriptomestoidentifymarkersofviruspresence AT arturtrancosolopodequeiroz metaanalysisofaedesaegyptiexpressiondatasetscomparingvirusinfectionandbloodfedtranscriptomestoidentifymarkersofviruspresence AT arturtrancosolopodequeiroz metaanalysisofaedesaegyptiexpressiondatasetscomparingvirusinfectionandbloodfedtranscriptomestoidentifymarkersofviruspresence AT arturtrancosolopodequeiroz metaanalysisofaedesaegyptiexpressiondatasetscomparingvirusinfectionandbloodfedtranscriptomestoidentifymarkersofviruspresence |