IDV Typer: An Automated Tool for Lineage Typing of Influenza D Viruses Based on Return Time Distribution.

Influenza D virus (IDV) is the most recent addition to the Orthomyxoviridae family and cattle serve as the primary reservoir. IDV has been implicated in Bovine Respiratory Disease Complex (BRDC), and there is serological evidence of human infection of IDV. Evolutionary changes in the IDV genome have resulted in the expansion of genetic diversity and the emergence of multiple lineages that might expand the host tropism and potentially increase the pathogenicity to animals and humans. Therefore, there is an urgent need for automated, accurate and rapid typing tools for IDV lineage typing. Currently, IDV lineage typing is carried out using BLAST-based searches and alignment-based molecular phylogeny of the hemagglutinin-esterase fusion (HEF) gene sequences, and lineage is assigned to query sequences based on sequence similarity (BLAST search) and proximity to the reference lineages in the tree topology, respectively. To minimize human intervention and lineage typing time, we developed IDV Typer server, implementing alignment-free method based on return time distribution (RTD) of k-mers. Lineages are assigned using HEF gene sequences. The server performs with 100% sensitivity and specificity. The IDV Typer server is the first application of an RTD-based alignment-free method for typing animal viruses.

Genetic variability in minor capsid protein (L2 gene) of human papillomavirus type 16 among Indian women.

Human papillomavirus type 16 (HPV-16) is the predominant genotype worldwide associated with invasive cervical cancer and hence remains as the focus for diagnostic development and vaccine research. L2, the minor capsid protein forms the packaging unit for the HPV genome along with the L1 protein and is primarily associated with transport of genomic DNA to the nucleus. Unlike L1, L2 is known to elicit cross-neutralizing antibodies and thus becomes a suitable candidate for pan-HPV prophylactic vaccine development. In the present study, a total of 148 cervical HPV-16 isolates from Indian women were analyzed by PCR-directed sequencing, phylogenetic analysis and in silico immunoinformatics tools to determine the L2 variations that may impact the immune response and oncogenesis. Ninety-one SNPs translating to 35 non-synonymous amino acid substitutions were observed, of these 16 substitutions are reported in the Indian isolates for the first time. T245A, L266F, S378V and S384A substitutions were significantly associated with high-grade cervical neoplastic status. Multiple substitutions were observed in samples from high-grade cervical neoplastic status as compared to those from normal cervical status (p = 0.027), specifically from the D3 sub-lineage. It was observed that substitution T85A was part of both, B and T cell epitopes recognized by MHC-I molecules; T245A was common to B and T cell epitopes recognized by MHC-II molecules and S122P/A was common to the region recognized by both MHC-I and MHC-II molecules. These findings reporting L2 protein substitutions have implications on cervical oncogenesis and design of next-generation L2-based HPV vaccines.

Genetic variations in the long control region of human papillomavirus type 16 isolates from India: implications for cervical carcinogenesis.

Introduction. Infection with high-risk human papillomavirus (HPV) types, specifically HPV type 16 (HPV16), is considered to be the most important risk factor in the development of cervical intraepithelial neoplasia and cancer. The long control region (LCR) is a noncoding region that comprises approximately 10 % of the HPV genome and contains regulatory elements for viral transcription and replication. Sequence variations in LCR may impact on the replication efficiency and oncogenic potential of the virus.Gap statement. Studies documenting variations in LCR of HPV16 isolates pertaining to cervical neoplastic status in India are limited.Aim. The present study was designed to characterize variations in the LCR of Indian isolates of HPV16 and study their association with cervical disease grades.Methodology. The LCR was amplified and sequenced from HPV16 positive cervical samples belonging to different cervical disease grades. Sequences were aligned to identify variations and potential transcription factor binding sites (TFbs) were predicted using the JASPAR database in addition to phylogenetic studies.Results. Among the 163 HPV16 isolates analysed, 47 different nucleotide variations were detected in the LCR, of which 25 are reported for first time in Indian isolates. Point mutations were detected in 35/54 (64.8 %) samples with normal cervical status, 44/50 (88 %) samples with low-grade cervical disease and 53/59 (89.8 %) samples with high-grade cervical disease. Variations T6586C, G6657A and T6850G were significantly associated with high-grade cervical status. Thirteen LCR variations were detected in the binding sites for CEBPB, ETS1, JUN, MYB, NFIL3, PHOX2A and SOX9 transcription factors.Conclusion. The present study helped to identify unique variations in the LCRs of HPV16 Indian isolates. The variations in the A4 sub-lineage were significantly associated with high-grade disease status. The isolates belonging to the A4 and D3 sub-lineages harboured mutations in putative TFbs, implying a potential impact on viral replication and progression to cervical cancer.

Circulation and Evolution of SARS-CoV-2 in India: Let the Data Speak.

The COVID-19 pandemic is a global challenge that impacted 200+ countries. India ranks in the second and third positions in terms of number of reported cases and deaths. Being a populous country with densely packed cities, SARS-CoV-2 spread exponentially. India sequenced ≈0.14% isolates from confirmed cases for pandemic surveillance and contributed ≈1.58% of complete genomes sequenced globally. This study was designed to map the circulating lineage diversity and to understand the evolution of SARS-CoV-2 in India using comparative genomics and population genetics approaches. Despite varied sequencing coverage across Indian States and Union Territories, isolates belonging to variants of concern (VoC) and variants of interest (VoI) circulated, persisted, and diversified during the first seventeen months of the pandemic. Delta and Kappa lineages emerged in India and spread globally. The phylogenetic tree shows lineage-wise monophyletic clusters of VoCs/VoIs and diversified tree topologies for non-VoC/VoI lineages designated as 'Others' in this study. Evolutionary dynamics analyses substantiate a lack of spatio-temporal clustering, which is indicative of multiple global and local introductions. Sites under positive selection and significant variations in spike protein corroborate with the constellation of mutations to be monitored for VoC/VoI as well as substitutions that are characteristic of functions with implications in virus-host interactions, differential glycosylation, immune evasion, and escape from neutralization.

Understanding evolution of SARS-CoV-2: A perspective from analysis of genetic diversity of RdRp gene.

Coronavirus disease 2019 emerged as the first example of "Disease X", a hypothetical disease of humans caused by an unknown infectious agent that was named as novel coronavirus and subsequently designated as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The origin of the outbreak at the animal market in Wuhan, China implies it as a case of zoonotic spillover. The study was designed to understand evolution of Betacoronaviruses and in particular diversification of SARS-CoV-2 using RNA dependent RNA polymerase (RdRp) gene, a stable genetic marker. Phylogenetic and population stratification analyses were carried out using maximum likelihood and Bayesian methods, respectively. Molecular phylogeny using RdRp showed that SARS-CoV-2 isolates cluster together. Bat-CoV isolate RaTG13 and Pangolin-CoVs are observed to branch off prior to SARS-CoV-2 cluster. While SARS-CoV form a single cluster, Bat-CoVs form multiple clusters. Population-based analyses revealed that both SARS-CoV-2 and SARS-CoV form separate clusters with no admixture. Bat-CoVs were found to have single and mixed ancestry and clustered as four sub-populations. Population-based analyses of Betacoronaviruses using RdRp revealed that SARS-CoV-2 is a homogeneous population. SARS-CoV-2 appears to have evolved from Bat-CoV isolate RaTG13, which diversified from a common ancestor from which Pangolin-CoVs have also evolved. The admixed Bat-CoV sub-populations indicate that bats serve as reservoirs harboring virus ensembles that are responsible for zoonotic spillovers such as SARS-CoV and SARS-CoV-2. The extent of admixed isolates of Bat-CoVs observed in population diversification studies underline the need for periodic surveillance of bats and other animal reservoirs for potential spillovers as a measure towards preparedness for emergence of zoonosis.

Characterization of major capsid protein (L1) variants of Human papillomavirus type 16 by cervical neoplastic status in Indian women: Phylogenetic and functional analysis.

The etiological role of infection with Human papillomavirus type 16 (HPV16) in cervical cancer is well established. HPV16 variants, classified based on less than 10% nucleotide variations in the major capsid (L1 ORF) are known to contribute to persistent infection leading to cancer development. L1 protein forms the cornerstone of HPV structure and antigenicity. In the present study, HPV16 L1 variants were characterized by cervical lesion grade and variations in sequences were correlated to structure and function. The L1 gene was analyzed in 152 HPV16 positive cervical samples obtained from Indian women using polymerase chain reaction-directed sequencing. Phylogenetic analysis was carried out for lineage typing. Sixty-one SNPs were detected in L1 genes resulting in 20 nonsynonymous amino acid substitutions of which N56T, N92T, L158F, V178G, N181I, K236T, K443Q, K454T, and K475R are reported in Indian isolates for the first time. The substitutions N181T, T353P, and T389S were significantly associated with high-grade cervical disease. The predominance of lineage A (A1-A4, 84.96%) was observed among the isolates, while the D3 sublineage showed significant association with high-grade cervical lesions. No evidence for recombination and the positive selection was obtained. These substitutions, when mapped on three-dimensional structure, revealed that 11 and 4 substitutions are part of experimentally validated B- and T-cell epitopes, of which T266A and N285T were common to both types of epitopes and may impact HPV vaccine efficacy. The variants identified through this study have the potential to serve as translational leads for designing diagnostic probes and vaccines.