Follow up of a robust meta-signature to identify Zika virus infection in Aedes aegypti: another brick in the wall
Mem. Inst. Oswaldo Cruz
; 113(6): e180053, 2018. graf
Article
em En
| LILACS
| ID: biblio-1040596
Biblioteca responsável:
BR1.1
ABSTRACT
The mosquito Aedes aegypti is the main vector of several arthropod-borne diseases that have global impacts. In a previous meta-analysis, our group identified a vector gene set containing 110 genes strongly associated with infections of dengue, West Nile and yellow fever viruses. Of these 110 genes, four genes allowed a highly accurate classification of infected status. More recently, a new study of Ae. aegypti infected with Zika virus (ZIKV) was published, providing new data to investigate whether this "infection" gene set is also altered during a ZIKV infection. Our hypothesis is that the infection-associated signature may also serve as a proxy to classify the ZIKV infection in the vector. Raw data associated with the NCBI/BioProject were downloaded and re-analysed. A total of 18 paired-end replicates corresponding to three ZIKV-infected samples and three controls were included in this study. The nMDS technique with a logistic regression was used to obtain the probabilities of belonging to a given class. Thus, to compare both gene sets, we used the area under the curve and performed a comparison using the bootstrap method. Our meta-signature was able to separate the infected mosquitoes from the controls with good predictive power to classify the Zika-infected mosquitoes.
Palavras-chave
Texto completo:
1
Base de dados:
LILACS
Assunto principal:
Aedes
/
Transcriptoma
/
Zika virus
/
Mosquitos Vetores
Tipo de estudo:
Prognostic_studies
Limite:
Animals
Idioma:
En
Revista:
Mem. Inst. Oswaldo Cruz
Assunto da revista:
MEDICINA TROPICAL
/
PARASITOLOGIA
Ano de publicação:
2018
Tipo de documento:
Article
País de afiliação:
Brasil