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Genome-wide mutational analysis of Chikungunya strains from 2016 to 2017 outbreak of central India: An attempt to elucidate the immunological basis for outbreak
Chikungunya re-emerged in India in 2016–2017, as the first major outbreak since 2006. In our previous study, we undertook partial E1 gene sequencing and phylogenetic/mutational analysis of strains from the 2016–2017 outbreak of Chikungunya in central India and reported important mutations associated...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647445/ https://www.ncbi.nlm.nih.gov/pubmed/36387532 http://dx.doi.org/10.1016/j.heliyon.2022.e11400 |
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author | Gupta, Sudheer Yadav, Ashvini Stubbs, Sam Frost, Simon Ansari, Kudsia Nema, Ram Kumar Nema, Shashwati Biswas, Debasis |
author_facet | Gupta, Sudheer Yadav, Ashvini Stubbs, Sam Frost, Simon Ansari, Kudsia Nema, Ram Kumar Nema, Shashwati Biswas, Debasis |
author_sort | Gupta, Sudheer |
collection | PubMed |
description | Chikungunya re-emerged in India in 2016–2017, as the first major outbreak since 2006. In our previous study, we undertook partial E1 gene sequencing and phylogenetic/mutational analysis of strains from the 2016–2017 outbreak of Chikungunya in central India and reported important mutations associated with the outbreak. This study was performed to validate the previous findings and to identify key mutations that had emerged throughout the entire genome of Chikungunya virus that could be driving the enormity of this outbreak. The phylogenetic analysis revealed the closeness of our isolates with ECSA genotype, specifically with the Singapore 2015 strain. We found 2 mutations in C and E2 genes, which were present in our isolates but were non-existent during the period of 2010–2016. Furthermore, re-emergence of Arg amino acid in place of stop codon in nsP3 gene and Thr at E2:312 positions was observed after 2011. We also used computational tools to assess the effect of the identified mutations on the T cell and B cell epitopes that could influence the protective immune response against this infection. |
format | Online Article Text |
id | pubmed-9647445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96474452022-11-15 Genome-wide mutational analysis of Chikungunya strains from 2016 to 2017 outbreak of central India: An attempt to elucidate the immunological basis for outbreak Gupta, Sudheer Yadav, Ashvini Stubbs, Sam Frost, Simon Ansari, Kudsia Nema, Ram Kumar Nema, Shashwati Biswas, Debasis Heliyon Research Article Chikungunya re-emerged in India in 2016–2017, as the first major outbreak since 2006. In our previous study, we undertook partial E1 gene sequencing and phylogenetic/mutational analysis of strains from the 2016–2017 outbreak of Chikungunya in central India and reported important mutations associated with the outbreak. This study was performed to validate the previous findings and to identify key mutations that had emerged throughout the entire genome of Chikungunya virus that could be driving the enormity of this outbreak. The phylogenetic analysis revealed the closeness of our isolates with ECSA genotype, specifically with the Singapore 2015 strain. We found 2 mutations in C and E2 genes, which were present in our isolates but were non-existent during the period of 2010–2016. Furthermore, re-emergence of Arg amino acid in place of stop codon in nsP3 gene and Thr at E2:312 positions was observed after 2011. We also used computational tools to assess the effect of the identified mutations on the T cell and B cell epitopes that could influence the protective immune response against this infection. Elsevier 2022-11-04 /pmc/articles/PMC9647445/ /pubmed/36387532 http://dx.doi.org/10.1016/j.heliyon.2022.e11400 Text en © 2022 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Gupta, Sudheer Yadav, Ashvini Stubbs, Sam Frost, Simon Ansari, Kudsia Nema, Ram Kumar Nema, Shashwati Biswas, Debasis Genome-wide mutational analysis of Chikungunya strains from 2016 to 2017 outbreak of central India: An attempt to elucidate the immunological basis for outbreak |
title | Genome-wide mutational analysis of Chikungunya strains from 2016 to 2017 outbreak of central India: An attempt to elucidate the immunological basis for outbreak |
title_full | Genome-wide mutational analysis of Chikungunya strains from 2016 to 2017 outbreak of central India: An attempt to elucidate the immunological basis for outbreak |
title_fullStr | Genome-wide mutational analysis of Chikungunya strains from 2016 to 2017 outbreak of central India: An attempt to elucidate the immunological basis for outbreak |
title_full_unstemmed | Genome-wide mutational analysis of Chikungunya strains from 2016 to 2017 outbreak of central India: An attempt to elucidate the immunological basis for outbreak |
title_short | Genome-wide mutational analysis of Chikungunya strains from 2016 to 2017 outbreak of central India: An attempt to elucidate the immunological basis for outbreak |
title_sort | genome-wide mutational analysis of chikungunya strains from 2016 to 2017 outbreak of central india: an attempt to elucidate the immunological basis for outbreak |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647445/ https://www.ncbi.nlm.nih.gov/pubmed/36387532 http://dx.doi.org/10.1016/j.heliyon.2022.e11400 |
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