Mayaro virus infection, the next epidemic wave after Zika? Evolutionary and structural analysis
Objective: To evaluate the evolution of the pathogen Mayaro virus, causing Mayaro fever (a mosquito-borne disease) and to perform selective pressure analysis and homology modelling. Methods: Nine different datasets were built, one for each protein (from protein C to non-structural protein 4) and the...
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ftdoajarticles:oai:doaj.org/article:9d6be91fec434b20953ec9eec2745f16 2023-05-15T15:11:49+02:00 Mayaro virus infection, the next epidemic wave after Zika? Evolutionary and structural analysis Eleonora Cella Marta Giovanetti Teresa Milano Marta Fogolari Francesco Garilli Ivailo Alexiev Riccardo Bazzardi Marco Salemi Luiz Carlos Junior Alcantara Silvia Angeletti Stefano Pascarella Massimo Ciccozzi 2018-01-01T00:00:00Z https://doi.org/10.4103/1995-7645.228433 https://doaj.org/article/9d6be91fec434b20953ec9eec2745f16 EN eng Wolters Kluwer Medknow Publications http://www.apjtm.org/article.asp?issn=1995-7645;year=2018;volume=11;issue=3;spage=194;epage=201;aulast=Cella https://doaj.org/toc/2352-4146 2352-4146 doi:10.4103/1995-7645.228433 https://doaj.org/article/9d6be91fec434b20953ec9eec2745f16 Asian Pacific Journal of Tropical Medicine, Vol 11, Iss 3, Pp 194-201 (2018) mayaro virus proteins evolutionary analysis Arctic medicine. Tropical medicine RC955-962 article 2018 ftdoajarticles https://doi.org/10.4103/1995-7645.228433 2022-12-31T11:26:14Z Objective: To evaluate the evolution of the pathogen Mayaro virus, causing Mayaro fever (a mosquito-borne disease) and to perform selective pressure analysis and homology modelling. Methods: Nine different datasets were built, one for each protein (from protein C to non-structural protein 4) and the last one for the complete genome. Selective pressure and homology modelling analyses were applied. Results: Two main clades (A and B) were pointed in the maximum likelihood tree. The clade A included five Brazilian sequences sampled from 1955 to 2015. The Brazilian sequence sampled in 2014 significantly clustered with the Haitian sequence sampled in 2015. The clade B included the remaining 27 sequences sampled in the Central and Southern America from 1957 to 2013. Selective pressure analysis revealed several sites under episodic diversifying selection in envelope surface glycoprotein E1, non-structural protein 1 and non- structural protein 3 with a posterior probability P≤0.01. Homology modelling showed different sites modified by selective pressure and some protein-protein interaction sites at high interaction propensity. Conclusion: Maximum likelihood analysis confirmed the Mayaro virus previous circulation in Haiti and the successful spread to the Caribbean and USA. Selective pressure analysis revealed a strong presence of negatively selected sites, suggesting a probable purging of deleterious polymorphisms in functional genes. Homology model showed the position 31, under selective pressure, located in the edge of the ADP-ribose binding site predicting to possess a high potential of protein-protein interaction and suggesting the possible chance for a protective vaccine, thus preventing Mayaro virus urbanization as with Chikungunya virus. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Asian Pacific Journal of Tropical Medicine 11 3 194 |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
mayaro virus proteins evolutionary analysis Arctic medicine. Tropical medicine RC955-962 |
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mayaro virus proteins evolutionary analysis Arctic medicine. Tropical medicine RC955-962 Eleonora Cella Marta Giovanetti Teresa Milano Marta Fogolari Francesco Garilli Ivailo Alexiev Riccardo Bazzardi Marco Salemi Luiz Carlos Junior Alcantara Silvia Angeletti Stefano Pascarella Massimo Ciccozzi Mayaro virus infection, the next epidemic wave after Zika? Evolutionary and structural analysis |
topic_facet |
mayaro virus proteins evolutionary analysis Arctic medicine. Tropical medicine RC955-962 |
description |
Objective: To evaluate the evolution of the pathogen Mayaro virus, causing Mayaro fever (a mosquito-borne disease) and to perform selective pressure analysis and homology modelling. Methods: Nine different datasets were built, one for each protein (from protein C to non-structural protein 4) and the last one for the complete genome. Selective pressure and homology modelling analyses were applied. Results: Two main clades (A and B) were pointed in the maximum likelihood tree. The clade A included five Brazilian sequences sampled from 1955 to 2015. The Brazilian sequence sampled in 2014 significantly clustered with the Haitian sequence sampled in 2015. The clade B included the remaining 27 sequences sampled in the Central and Southern America from 1957 to 2013. Selective pressure analysis revealed several sites under episodic diversifying selection in envelope surface glycoprotein E1, non-structural protein 1 and non- structural protein 3 with a posterior probability P≤0.01. Homology modelling showed different sites modified by selective pressure and some protein-protein interaction sites at high interaction propensity. Conclusion: Maximum likelihood analysis confirmed the Mayaro virus previous circulation in Haiti and the successful spread to the Caribbean and USA. Selective pressure analysis revealed a strong presence of negatively selected sites, suggesting a probable purging of deleterious polymorphisms in functional genes. Homology model showed the position 31, under selective pressure, located in the edge of the ADP-ribose binding site predicting to possess a high potential of protein-protein interaction and suggesting the possible chance for a protective vaccine, thus preventing Mayaro virus urbanization as with Chikungunya virus. |
format |
Article in Journal/Newspaper |
author |
Eleonora Cella Marta Giovanetti Teresa Milano Marta Fogolari Francesco Garilli Ivailo Alexiev Riccardo Bazzardi Marco Salemi Luiz Carlos Junior Alcantara Silvia Angeletti Stefano Pascarella Massimo Ciccozzi |
author_facet |
Eleonora Cella Marta Giovanetti Teresa Milano Marta Fogolari Francesco Garilli Ivailo Alexiev Riccardo Bazzardi Marco Salemi Luiz Carlos Junior Alcantara Silvia Angeletti Stefano Pascarella Massimo Ciccozzi |
author_sort |
Eleonora Cella |
title |
Mayaro virus infection, the next epidemic wave after Zika? Evolutionary and structural analysis |
title_short |
Mayaro virus infection, the next epidemic wave after Zika? Evolutionary and structural analysis |
title_full |
Mayaro virus infection, the next epidemic wave after Zika? Evolutionary and structural analysis |
title_fullStr |
Mayaro virus infection, the next epidemic wave after Zika? Evolutionary and structural analysis |
title_full_unstemmed |
Mayaro virus infection, the next epidemic wave after Zika? Evolutionary and structural analysis |
title_sort |
mayaro virus infection, the next epidemic wave after zika? evolutionary and structural analysis |
publisher |
Wolters Kluwer Medknow Publications |
publishDate |
2018 |
url |
https://doi.org/10.4103/1995-7645.228433 https://doaj.org/article/9d6be91fec434b20953ec9eec2745f16 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Asian Pacific Journal of Tropical Medicine, Vol 11, Iss 3, Pp 194-201 (2018) |
op_relation |
http://www.apjtm.org/article.asp?issn=1995-7645;year=2018;volume=11;issue=3;spage=194;epage=201;aulast=Cella https://doaj.org/toc/2352-4146 2352-4146 doi:10.4103/1995-7645.228433 https://doaj.org/article/9d6be91fec434b20953ec9eec2745f16 |
op_doi |
https://doi.org/10.4103/1995-7645.228433 |
container_title |
Asian Pacific Journal of Tropical Medicine |
container_volume |
11 |
container_issue |
3 |
container_start_page |
194 |
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1766342607909158912 |