Background & objectives COVID‐19 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 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 RdRp gene, a stable genetic marker. Methods Phylogenetic and population stratification analyses were carried out using Maximum likelihood and Bayesian methods, respectively. Results 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. Conclusions 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.

Influenza D virus (IDV), the cattle flu virus, is a novel multi-host RNA virus, circulating silently worldwide, with widespread seropositivity among US cattle, reaching up to 80% in some areas raising a potential threat of cattle-to-human transmission. Currently, five genetic lineages of IDV have been described, but their evolutionary dynamics have not been studied. Although IDV was first identified in 2011, our comprehensive analysis of all known IDV genomes suggests that the earliest ancestors of IDV likely to have evolved towards the end of the 20^th century and D/OK lineage appears to have emerged in 2005. We confirmed a significantly higher substitution rate in IDV than in Influenza C virus, which is consistent with their global distribution and multi-host tropism. We identified multiple sub-populations within the D/OK lineage, highlighting extensive diversification and dissemination. Other findings are evidence for potential reassortment among IDV strains in the USA and transboundary circulation of IDV in Europe with introductions into Danish cattle, some of which potentially originated from France. IDV, an emerging virus with a higher rate of evolution and uncontrolled circulation, could facilitate its adaptation to humans. Our findings underscore the importance of targeted surveillance for IDV in humans and at-risk animal populations.

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.

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.

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.