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. 2024 Mar 1;51(1):375.
doi: 10.1007/s11033-024-09252-8.

Molecular characterization of Chikungunya virus recovered from patients in the Maranhão state, Brazil

Antônio Dantas Silva Junior  1 , Bruna Oliveira de Melo  2 , Antonia Khaynnam Silva Costa  2 , Daniela de Jesus Ferreira Costa  2 , Érima Jôyssielly Mendonça Castro  1 , Rosimary de Jesus Gomes Turri  3 , Andrea de Sousa Monteiro  2 , Adrielle Zagmignan  1 , Maria Rosa Quaresma Bomfim  2 , Luís Cláudio Nascimento de Silva  4
Affiliations

Molecular characterization of Chikungunya virus recovered from patients in the Maranhão state, Brazil

Antônio Dantas Silva Junior et al. Mol Biol Rep. .

Abstract

Background: Chikungunya virus (CHIKV) is an arbovirus from the Togaviridae family which has four genotypes: West African (WA), East/Central/South African (ECSA) and Asian/Caribbean lineage (AL) and Indian Ocean Lineage (IOL). The ECSA genotype was first registered in Brazil in Feira de Santana and spread to all Brazilian regions. This study reports the characterization of CHIKV isolates recovered from sera samples of fifty patients from seventeen cities in Maranhão, a state from Brazilian northeast region and part of the Legal Amazon area.

Methods and results: Primers were developed to amplify the partial regions coding structural proteins (E1, E3, E2, 6 K, and Capsid C). The consensus sequences have 2871 bp, covering approximately 24% of the genome. The isolates were highly similar (> 99%) to the ECSA isolate from Feira de Santana (BHI3734/H804698), presenting 30 non-synonymous mutations in E1 (5.95%), 18 in E2 (4.46%), and 1 in E3 (3.03%), taking the BHI3734/H804698 isolate as standard. Although the mutations described have not previously been related to increased infectivity or transmissibility of CHIKV, in silico analysis showed changes in physicochemical characteristics, antigenicity, and B cell epitopes of E1 and E2.

Conclusions: These findings demonstrate the importance of molecular approaches for monitoring the viral adaptations undergone by CHIKV and its geographic distribution.

Keywords: In silico analysis; Arboviruses; Mutations; Phylogenetic analysis; Structural protein.

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