Título :	Dynamic proteomic analysis of Aedes aegypti Aag-2 cells infected with Mayaro virus
Autor :	Vasconcellos, Anna Fernanda Mandacaru, Samuel Coelho Oliveira, Athos Silva de Fontes, Wagner Melo, Reynaldo Magalhães Sousa, Marcelo Valle de Resende, Renato Oliveira Charneau, Sébastien
metadata.dc.identifier.orcid:	https://orcid.org/0000-0002-9364-7289
Assunto::	Mayaro virus Mosquito Infecção Aedes aegypti Interação vírus-vetor Análise proteômica
Fecha de publicación :	10-jun-2020
Editorial :	BMC
Citación :	VASCONCELLOS, Anna Fernanda et al. Dynamic proteomic analysis of Aedes aegypti Aag-2 cells infected with Mayaro virus. Parasites & Vectors, v. 13, art. n. 297, 2020. DOI: https://doi.org/10.1186/s13071-020-04167-2. Disponível em: https://parasitesandvectors.biomedcentral.com/articles/10.1186/s13071-020-04167-2. Acesso em: 04 ago. 2021.
Abstract:	Background Mayaro virus (MAYV) is responsible for a mosquito-borne tropical disease with clinical symptoms similar to dengue or chikungunya virus fevers. In addition to the recent territorial expansion of MAYV, this virus may be responsible for an increasing number of outbreaks. Currently, no vaccine is available. Aedes aegypti is promiscuous in its viral transmission and thus an interesting model to understand MAYV-vector interactions. While the life-cycle of MAYV is known, the mechanisms by which this arbovirus affects mosquito host cells are not clearly understood. Methods After defining the best conditions for cell culture harvesting using the highest virus titer, Ae. aegypti Aag-2 cells were infected with a Brazilian MAYV isolate at a MOI of 1 in order to perform a comparative proteomic analysis of MAYV-infected Aag-2 cells by using a label-free semi-quantitative bottom-up proteomic analysis. Time-course analyses were performed at 12 and 48 h post-infection (hpi). After spectrum alignment between the triplicates of each time point and changes of the relative abundance level calculation, the identified proteins were annotated and using Gene Ontology database and protein pathways were annotated using the Kyoto Encyclopedia of Genes and Genomes. Results After three reproducible biological replicates, the total proteome analysis allowed for the identification of 5330 peptides and the mapping of 459, 376 and 251 protein groups, at time 0, 12 hpi and 48 hpi, respectively. A total of 161 mosquito proteins were found to be differentially abundant during the time-course, mostly related to host cell processes, including redox metabolism, translation, energy metabolism, and host cell defense. MAYV infection also increased host protein expression implicated in viral replication. Conclusions To our knowledge, this first proteomic time-course analysis of MAYV-infected mosquito cells sheds light on the molecular basis of the viral infection process and host cell response during the first 48 hpi. Our data highlight several mosquito proteins modulated by the virus, revealing that MAYV manipulates mosquito cell metabolism for its propagation.
Licença::	© The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativeco mmons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/ zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
DOI:	https://doi.org/10.1186/s13071-020-04167-2
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