Comprehensive Quantitative Proteome Analysis of Aedes aegypti Identifies Proteins and Pathways Involved in Wolbachia pipientis and Zika Virus Interference Phenomenon

• Published in: Frontiers in physiology 2021-02, Vol.12, p.642237
• Main Authors: Martins, Michele, Ramos, Luis Felipe Costa, Murillo, Jimmy Rodriguez, Torres, André, de Carvalho, Stephanie Serafim, Domont, Gilberto Barbosa, de Oliveira, Danielle Maria Perpétua, Mesquita, Rafael Dias, Nogueira, Fábio César Sousa, Maciel-de-Freitas, Rafael, Junqueira, Magno
• Format: Article
• Language: English
• Subjects: Aedes aegypti; immune response; Physiology; proteome; quantitative; Wolbachia; Zika virus
• ISSN: 1664-042X; 1664-042X
• DOI: 10.3389/fphys.2021.642237

Zika virus (ZIKV) is a global public health emergency due to its association with microcephaly, Guillain-Barré syndrome, neuropathy, and myelitis in children and adults. A total of 87 countries have had evidence of autochthonous mosquito-borne transmission of ZIKV, distributed across four continents, and no antivirus therapy or vaccines are available. Therefore, several strategies have been developed to target the main mosquito vector, , to reduce the burden of different arboviruses. Among such strategies, the use of the maternally-inherited endosymbiont has been applied successfully to reduce virus susceptibility and decrease transmission. However, the mechanisms by which orchestrate resistance to ZIKV infection remain to be elucidated. In this study, we apply isobaric labeling quantitative mass spectrometry (MS)-based proteomics to quantify proteins and identify pathways altered during ZIKV infection; infection; co-infection with ZIKV in the heads and salivary glands. We show that regulates proteins involved in reactive oxygen species production, regulates humoral immune response, and antioxidant production. The reduction of ZIKV polyprotein in the presence of in mosquitoes was determined by MS and corroborates the idea that helps to block ZIKV infections in The present study offers a rich resource of data that may help to elucidate mechanisms by which orchestrate resistance to ZIKV infection in , and represents a step further on the development of new targeted methods to detect and quantify ZIKV and directly in complex tissues.