@article {126683, title = {Evolutionary dynamics of dengue virus in India.}, journal = {PLoS Pathog}, volume = {19}, year = {2023}, month = {2023 Apr 03}, pages = {e1010862}, abstract = {

More than a hundred thousand dengue cases are diagnosed in India annually, and about half of the country{\textquoteright}s population carries dengue virus-specific antibodies. Dengue propagates and adapts to the selection pressures imposed by a multitude of factors that can lead to the emergence of new variants. Yet, there has been no systematic analysis of the evolution of the dengue virus in the country. Here, we present a comprehensive analysis of all DENV gene sequences collected between 1956 and 2018 from India. We examine the spatio-temporal dynamics of India-specific genotypes, their evolutionary relationship with global and local dengue virus strains, interserotype dynamics and their divergence from the vaccine strains. Our analysis highlights the co-circulation of all DENV serotypes in India with cyclical outbreaks every 3-4 years. Since 2000, genotype III of DENV-1, cosmopolitan genotype of DENV-2, genotype III of DENV-3 and genotype I of DENV-4 have been dominating across the country. Substitution rates are comparable across the serotypes, suggesting a lack of serotype-specific evolutionary divergence. Yet, the envelope (E) protein displays strong signatures of evolution under immune selection. Apart from drifting away from its ancestors and other contemporary serotypes in general, we find evidence for recurring interserotype drift towards each other, suggesting selection via cross-reactive antibody-dependent enhancement. We identify the emergence of the highly divergent DENV-4-Id lineage in South India, which has acquired half of all E gene mutations in the antigenic sites. Moreover, the DENV-4-Id is drifting towards DENV-1 and DENV-3 clades, suggesting the role of cross-reactive antibodies in its evolution. Due to the regional restriction of the Indian genotypes and immunity-driven virus evolution in the country, ~50\% of all E gene differences with the current vaccines are focused on the antigenic sites. Our study shows how the dengue virus evolution in India is being shaped in complex ways.

}, issn = {1553-7374}, doi = {10.1371/journal.ppat.1010862}, author = {Jagtap, Suraj and Pattabiraman, Chitra and Sankaradoss, Arun and Krishna, Sudhir and Roy, Rahul} } @article {105164, title = {Immune profile and responses of a novel Dengue DNA vaccine encoding EDIII-NS1 consensus design based on Indo-African sequences.}, journal = {Mol Ther}, year = {2022}, month = {2022 Jan 06}, abstract = {

The ongoing COVID-19 pandemic highlights the need to tackle viral variants, expand the number of antigens and assess diverse delivery systems for vaccines against emerging viruses. In the present study, a DNA vaccine candidate was generated by combining in tandem envelope protein domain III (EDIII) of dengue virus serotypes 1-4 and a DENV-2 NS1 protein coding region. Each domain was designed as a serotype-specific consensus coding sequence derived from different genotypes based on whole genome sequencing of clinical isolates in India and complemented with data from Africa. This sequence was further optimized for protein expression. In silico structural analysis of the EDIII consensus sequence revealed that epitopes are structurally conserved and immunogenic. Vaccination of mice with this construct induced pan-serotype neutralizing antibodies and antigen-specific T cell responses. Assaying of intracellular IFN-γ staining, immunoglobulin IgG2(a/c)/IgG1 ratios and immune gene profiling suggest a strong Th1-dominant immune response. Finally, passive transfer of immune sera protected AG129 mice challenged with a virulent, non-mouse adapted DENV-2 strain. Our findings collectively suggest an alternative strategy for dengue vaccine design; offering a novel vaccine candidate with a possible broad spectrum protection and successful clinical translation either as a stand-alone or in a mix and match strategy.

}, issn = {1525-0024}, doi = {10.1016/j.ymthe.2022.01.013}, author = {Sankaradoss, Arun and Jagtap, Suraj and Nazir, Junaid and Moula, Shefta-E and Modak, Ayan and Fialho, Joshuah and Iyer, Meenakshi and Shastri, Jayanthi S and Dias, Mary and Gadepalli, Ravisekhar and Aggarwal, Alisha and Vedpathak, Manoj and Agrawal, Sachee and Pandit, Awadhesh and Nisheetha, Amul and Kumar, Anuj and Bordoloi, Mahasweta and Shafi, Mohamed and Shelar, Bhagyashree and Balachandra, Swathi S and Damodar, Tina and Masika, Moses Muia and Mwaura, Patrick and Anzala, Omu and Muthumani, Kar and Sowdhamini, Ramanathan and Medigeshi, Guruprasad R and Roy, Rahul and Pattabiraman, Chitra and Krishna, Sudhir and Sreekumar, Easwaran} } @article {96657, title = {Antimicrobial Resistance Profiling and Phylogenetic Analysis of Neisseria gonorrhoeae Clinical Isolates From Kenya in a Resource-Limited Setting}, journal = {Front. Microbiol}, year = {2021}, month = {07/2021}, abstract = {

Background: Africa has one of the highest incidences of gonorrhea. Neisseria gonorrhoeae is gaining resistance to most of the available antibiotics, compromising treatment across the world. Whole-genome sequencing (WGS) is an efficient way of predicting AMR determinants and their spread in the population. Recent advances in next-generation sequencing technologies like Oxford Nanopore Technology (ONT) have helped in the generation of longer reads of DNA in a shorter duration with lower cost. Increasing accuracy of base-calling algorithms, high throughput, error-correction strategies, and ease of using the mobile sequencer MinION in remote areas lead to its adoption for routine microbial genome sequencing. To investigate whether MinION-only sequencing is sufficient for WGS and downstream analysis in resource-limited settings, we sequenced the genomes of 14 suspected N. gonorrhoeae isolates from Nairobi, Kenya.

}, doi = {10.3389/fmicb.2021.647565}, author = {Juma, Meshack and Sankaradoss, Arun and Ndombi, Redcliff and Mwaura, Patrick and Damoda, Tina and Nazir, Junaid and Pandit, Awadhesh and Khurana, Rupsy and Masika, Moses and Chirchir, Ruth and Gachie, John and Krishna, Sudhir and Sowdhamini, Ramanathan and Anzala, Omu and Meenakshi, Iyer S.} }