Exploring the impact of envelope protein mutations on Chikungunya virus epitopes: Analysis of virus samples from the Alagoas State outbreak, Brazil
Jamile Taniele-Silva , Andrade Brandão Júlia De , Oliveira Maria Júlia Tenório Costa Cinésio De , Souza Stephannie Janaina Maia De , Jean Fábio Gomes Ferro , Lima Magliones Carneiro De , Abelardo Silva-Júnior , Ênio José Bassi , Letícia Anderson
Asian Pacific Journal of Tropical Medicine ›› 2025, Vol. 18 ›› Issue (6) : 269 -279.
Exploring the impact of envelope protein mutations on Chikungunya virus epitopes: Analysis of virus samples from the Alagoas State outbreak, Brazil
Objective: To investigate mutations in the Chikungunya (CHIKV) envelope genome region and evaluate their potential impact on B lymphocyte epitopes via in silico analysis.
Methods: E1, E2 and 6K protein genes were sequenced from viral RNA isolated from 13 CHIKV-positive serum samples from Alagoas State, Brazil, during the 2016 outbreak. Phylogenetic analysis, experimental epitope identification in the immune epitope database (IEDB) and in silico approaches were employed to predict the potential impact of the detected mutations.
Results: The sequences were clustered via phylogenetic analysis. The CHIKV isolates belong to the ECSA genotype, with 13 detected amino acid mutations. Five mutations are located on the surface of the viral particle in regions critical for cellular receptor interaction. Nine mutations are known experimentally validated epitopes for B and T cells. In B-cell epitope predictions, mutations affect sequences within three conformational epitopes in E2 and one in E1, as well as linear epitopes. Notably, the E2-G60D mutation found in the Alagoas strain has been previously reported to influence the vector competence of Aedes aegypti, the primary vector in Brazil.
Conclusions: Genomic surveillance and an in-depth understanding of viral mutations are crucial for adapting public health strategies and improving the outbreak response. These findings could have significant public health implications, such as the development of more effective vaccines, diagnostic tests, and antiviral therapies.
Genomic variations / In silico analysis / Epitope prediction / Glycoprotein mutations
| [1] |
|
| [2] |
|
| [3] |
|
| [4] |
Ministério da Saúde do Brasil. Monitoramento dos casos de dengue, febre de chikungunya e febre pelo vírus Zika até a Semana Epidemiológica 50, 2017. Boletim Epidemiológico 2018; 48(45):1-13. |
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
Dos Passos Cunha M, |
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
|
| [35] |
|
| [36] |
|
| [37] |
|
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
|
| [42] |
|
| [43] |
|
| [44] |
|
| [45] |
|
| [46] |
|
| [47] |
|
| [48] |
|
| [49] |
|
| [50] |
|
| [51] |
|
| [52] |
|
| [53] |
|
| [54] |
|
| [55] |
|
| [56] |
|
| [57] |
|
| [58] |
|
| [59] |
|
/
| 〈 |
|
〉 |