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Mukerji, M.

Publications and source records attributed to Mukerji, M..

At least 19 recordsLinked to original sources

Unravelling the plausible metal-dependent catalytic mechanism of Inositol monophosphatase ortholog from Pseudomonas aeruginosa through the lenses of macromolecular crystallography and enzyme kinetics

The inositol monophosphatase (IMPase) orthologue is pivotal for virulence, pathogenesis, and biofilm regulation, and is therefore considered a potential drug target in Pseudomonas aeruginosa and other bacterial pathogens. The mammalian IMPase orthologue is an established drug target for bipolar disorder. The precise catalytic mechanism in this class of enzymes remains obscure despite five to six decades of extensive efforts and detailed studies of substrate, transition-state analogue, and product-bound structures. Here, we have solved the crystal structures of the IMPase orthologue from Pseudomonas aeruginosa (PaIMPase), capturing pre- and post-catalytic snapshots of metal-substrate- and metal-product-mimic-bound states. Moreover, we solved the metal-substrate transition-state-analogue-bound crystal structure of the enzyme. Critical evaluation of these high-resolution crystal structures of PaIMPase complexed with substrate, transition-state analogue, and product mimic (myo-inositol and phosphate) supports three Mg2+-dependent catalytic mechanisms of PaIMPase. The structural snapshots indicate that, at the enzyme active site, a metal (Mg2+)-coordinating water molecule, activated by two bound Mg2+ ions and the active-site-proximal Threonine/Aspartate dyad, attacks the central phosphorus atom of the bound substrate, leading to formation of a trigonal bipyramidal transition state. Following that, the immediate breakdown of the P-O bond results in the formation of inositolate and phosphate ions. The second water molecule, activated by another Mg2+ dyad, facilitates the departure of myo-inositol and phosphate from the active site. The detailed mechanistic insights gained from this work may offer a foundation for the rational design of precise inhibitors against PaIMPase.

biophysics↗

Meditation as a Bioactive Intervention: Molecular and Neurophysiological Mechanisms Revealed by Connectivity Mapping

Meditation practices are often used as non-pharmacological adjunct therapy for managing stress and well-being benefits. We propose that beneath their non-pharmacological facade, meditation practices might operate via drug target modulation having profound neurophysiological effects. Firstly, we leverage the Connectivity Map (CMap) to investigate (a) the overlap between meditation-induced molecular signatures and established drug responses, and (b) the pathways and mechanisms contributing to meditation potential therapeutic effects. This was studied in a comprehensive temporal RNAseq dataset comprising premeditation, meditation, and follow-up stages from a clinical trial involving 106 participants practising inner engineering meditation. Meditation signatures overlapped with over 438 drugs, but predominantly with drugs targeting the neuroactive ligand receptor pathways, capable of modulating the brains excitation-inhibition (E/I) balance. Next, to bridge the meditation-induced molecular changes to measurable neurophysiological effects, we performed a comprehensive meta-analysis of drugs affecting E/I balance through the lens of non-invasive brain stimulation, i.e., transcranial magnetic stimulation (TMS-EMG and TMS-EEG). Using multiple correspondence analysis, we then clustered the CMap informed neuroactive drugs and their E/I effects on the same latent space. We found that meditations effects mimic drugs targeting the GABAergic, Glutametergic and other neuromodulatory system pathways. Our findings lead to a working model to objectively test neurophysiological changes resulting from meditation that can lead to evidence-based clinical applications. Overall, these findings support the view that meditation acts as a biologically active intervention capable of modulating molecular pathways and cortical excitability, rather than functioning solely as a psychological or contemplative practice.

systems biology↗

Suppressing the suppressor: Gallic acid induced asymmetric tetramerization of the pleotropic virulence factor SuhB from Pseudomonas aeruginosa abolishes its extragenic suppressor activities. A structure-based functional study

Pseudomonas aeruginosa SuhB (PaSuhB) is a member of the bacterial Inositol monophosphatase family proteins. Numerous scientific evidences suggest PaSuhB is the pleotropic regulator of different metabolic pathways involved in bacterial biofilm formation and virulence determination. In this study, we have solved the high-resolution crystal structures of PaSuhB in its apo and substrate (Inositol monophosphatase) bound forms. Moreover, we carried out 3D pharmacophore modelling of the bound substrate to identify gallic acid, a phyto-phenol, abundant in medicinal plants, as a novel PaSuhB inhibitor. The high-resolution crystal structure of gallic acid/PaSuhB binary complex leads to the identification of a novel allosteric ligand binding site of the protein. In vitro, gallic acid induces the cold-sensitive growth of P. aeruginosa and E. coli, the previously reported phenomenon observed in suhB deletion mutants and also inhibits the swimming motility of P. aeruginosa. The plausible anti-bacterial molecular mechanism of action of gallic acid is presented herein.

biophysics↗

Beyond Temperature: Environmental Filtering and Functional Shifts in Desert Bird Communities Under Climate Change

Deserts present unique opportunities for understanding biodiversity under climate change, yet global-scale assessments remain rare. Birds serve as sensitive ecological indicators of ecosystem health and biodiversity dynamics. In this study, leveraging crowdsourced bird occurrence records (GBIF) and multi-decadal hydro-meteorological datasets (ERA5, GLEAM), and vegetation data (AVHRR), we show how environmental filtering and functional shifts in avian assemblages drive divergent spatial and temporal species richness patterns across ten major deserts. Noteworthy, responses to warming are distinct, wherein temperature alone cannot universally predict community dynamics. Climatic determinants such as precipitation, soil moisture, and NDVI shaped by greening and browning trends, play region-specific roles. Analyses reveal pronounced guild turnover, with notable declines in top avian predators and complex shifts in omnivores and aquatic predators, exposing ecosystem-level vulnerabilities and altered resilience. These findings underscore the need for a paradigm shift from one-dimensional models to integrative, trait-based approaches to conserve desert biodiversity and function under climate change.

ecology↗

Layers in the sand: The genetic imprint of migration, culture, and Indus craft in the Thar desert

The Thar Desert of northwest India, despite its harsh ecology, has sustained settlement of ancient crafts and pastoral communities. Their persistence provides a unique opportunity to study how migration, ecology, and culture have shaped genetic diversity. We analyzed genome-wide SNP data from 176 individuals across eight occupational communities along with global, Indian populations and diverse ancient genomes. Population history, ancestral migration, population structure, demography, admixture, and founder effects were elucidated using diverse population genetic statistical methods. The Thar groups occupy an intermediate position on the Indian north-south cline. Pastoralists and artisans (woodcarvers and Persian gold embossers) with West Eurasian lineages, while potters and performers align with southern clines. Uniparental data confirmed heterogeneous Indian lineages. Gene-culture was evident from the lactase persistence allele being higher in pastoralists but lower in gold-embossers despite shared ancestry. Noteworthy, the populations retain a high frequency of the SLC24A5 allele, associated with lighter skin pigmentation in Europeans, despite the desert environment. Demographic analyses indicate admixture of 60-80 GBP and strong founder effects in certain groups, particularly tie-and-dye and Persian migrant artisans [~]500-600 years ago. aDNA comparisons confirmed continuity with Indus-periphery and historical South Asian populations. The genetic landscape of the Thar is a palimpsest shaped by successive layers of settlement, migration, and cultural continuity. By establishing the first genomic baseline of Thars craft and pastoral communities, this study shows how ecology and endogamy with population history shape distinct genetic landscapes. These findings provide essential context for studying genetic risk, adaptation, and human resilience in extreme environments.

genomics↗

Adaptive Nesting Strategies of Dusky Crag Martins in desert ecoregions: Implications for Conservation and Bioinspired Innovations

Understanding the adaptive strategies of species in extreme environments is crucial for biodiversity conservation. This study is the first to explore the nesting behavior of the Dusky Crag Martin Ptyonoprogne concolor in the Thar Desert, Rajasthan. It examined the birds site selection, nesting frequency, and construction methods. Soil samples from nest sites and source locations were analyzed to identify structural and elemental properties. The bird adopts several strategies, such as aligning its nesting period with the monsoon, reusing nests, and utilizing both macro and micro-level additive construction techniques. Detailed analysis revealed a preference for cohesionless sand with low moisture and higher Soil Organic Carbon (SOC) content. The bird strategically alternates light and dark soil layers in its nest. Structural and elemental analyses using optical microscopy and Scanning Electron Microscopy (SEM), and X-ray Fluorescence (XRF), shows the light layers is rich in calcium oxide and fibrous material, and dark layers containing higher iron oxide and partially decomposed litter from Prosopis cineraria. The study concludes that alternating calcium-rich and iron-rich layers enhances energy efficiency, structural integrity, and pathogen resistance in nest construction. his behavior underscores the evolutionary adaptations of P. concolor to the extreme desert environment. These findings highlight the importance of conserving desert habitats and provide bio-inspired insights for sustainable building and agricultural practices in arid regions.

ecology↗

AyurPhenoClusters define common molecular roots for rare diseases and uncover ciliary dysfunctions in syndromic conditions

The heterogeneity of underlying causes and the variability of symptoms across Multiple organs in rare diseases present significant challenges when approached from an organ-centric perspective. Ayurveda, however, takes a multisystem perspective, assessing diseases through kinetic (Vata:V ), metabolic (Pitta:P ), and structural (Kapha:K ) dimensions, each with distinct phenotypic and molecular correlates. This study explores rare diseases from a systems perspective by integrating Ayurveda and unifying terminologies from both disciplines using Human Phenotype Ontology (HPO). Experts categorized 10,610 HPO terms into Ayurvedic phenotypic groups (V/P/K ) and applied the Expectation Maximization (EM) algorithm to cluster 12,678 diseases. This yielded six distinct clusters, termed AyurPhenoClusters, with 2,814 diseases uniquely classified and enriched for V/P/K phenotypes. Functional annotation of these, highlighted key biological processes: (i) embryogenesis and skeletal morphogenesis, (ii) endocrine and ciliary functions, (iii) DNA damage response and cell cycle regulation, (iv) inflammation and immune response, (v) immune function, hemopoiesis, and telomere aging, and (vi) small molecule metabolism and transport. Notably, the K predominant cluster had the highest ciliary gene enrichment (43%), followed by the V predominant cluster (16%), suggesting potential ciliopathies in V cluster. This systems-based approach enhances the understanding of rare diseases by bridging Ayurveda with modern medicine, for improved diagnostics and therapeutics

genetics↗

Avian Atlas: Unveiling the Diversity Divide in Desert Realms between Tropics

Understanding diversity gradients across global deserts remains a significant challenge. The unique characteristics of deserts complicate conservation efforts for these biomes, which are highly affected by climate change. Here, we conduct a comprehensive study of ecological traits to determine the behavior and uniqueness of avian communities in ten major tropical deserts, using crowd-sourced avian diversity data from GBIF.org as a key analytical tool. Our results reveal significant variations in bird diversity among tropical deserts, with heightened diversity in deserts near the Tropic of Cancer (TCan) compared to those near the Tropic of Capricorn (TCap). The analysis of ecological traits indicates that, unlike TCap deserts, TCan deserts have a higher prevalence of migratory species. This is facilitated by a broader niche breadth among sedentary bird species, which reduces niche competition and allows the influx of migratory invertivores. This study is the first to identify a differential avian diversity gradient within tropical deserts, demonstrating that avian species richness in deserts is more closely linked to tropical locations than to realm classifications. Recognizing the vulnerability of TCap deserts and the diverse trophic roles played by avian species, our analysis underscores the need for targeted conservation strategies. Protecting the unique avian diversity in TCan deserts and mitigating extinction risks in TCap deserts are essential steps to ensure the resilience and sustainability of these critical ecosystems.

ecology↗

Wastelands or Preferred-lands? Indicators for redefining Desert conservation

Desert ecosystems though crucial in shaping global climate, are often perceived to have limited function and are frequently designated as wastelands due to low biotic diversity and abundance. We explore the functional properties of desert through assessment of spatio-temporal variations of avian species richness and insect abundance of the relatively understudied Thar in Rajasthan. The study was conducted across four contrasting ecoregions (Western Thar (WT), Eastern Thar (ET), Transitional Zone (TZ), and Cultivated Zone (CZ) spanning 33 counties of Rajasthan. Monthly avian diversity were obtained from crowdsourced eBird data. Insect diversity and abundance accross the ecoregions were curated from the annual surveys of ZSI, India. The leads were corroborated with five years feeding behaviour observational data recorded from a representative site spanning 852 acres. There was a significant seasonal differences in bird species richness between the ecoregions with the most pronounced variations between summer and winter and CZ exhibiting the highest spatial variability followed by WT. WT also recorded the highest insect diversity and abundance, especially the orders Orthoptera, Hymenoptera, Coleoptera, Lepidotera and Diptera. The correlation matrix between bird and insect abundance and Kernel Density Estimation (KDE) plot indicated the relation between diverse dietary preferences and migratory patterns. These observations challenge the conventional notion that resource-limited environments harbour lesser biodiversity especially in arid environments. The dominance of insectivory among winter migrants aligns with the higher density of resident arthropods and emphasizes the pivotal role of insects as a food source during the migratory period. The adaptability of resident species to varied food sources, particularly arthropods, provides a means to strategically navigate during resource constraints. This study thus provides a unique framework to (a) redefine the functional importance of desert using migratory birds as prominent ecological indicators. (b) include an ecological criteria during policy formulation for biodiversity conservation. It also emphasizes reevaluation of deserts during designation of wastelands especially in the unique WT eco-regions when evolving developmental as well as ecological restoration strategies.

ecology↗

Biotic Assessment of Crowdsourced Data Defines Four Ecoregions in Thar: A Novel Approach for Citizen Engagement in Conservation

Distinct ecosystems have representative biota that can allow delineation of ecoregions. Despite being one of the most populated desert ecosystems in the world with extreme climatic conditions, Thar has been classified as a single ecoregion by WWF. The present study aimed to test this on the basis of biotic assessment using a citizen science-based crowdsourced data from ebird (492 species of birds through 50,000 checklists of 4000 birders). Unsupervised clustering (k=4) and mathematical validation using cosine similarity revealed the presence of four distinct ecoregionsEastern Thar (ET), Western Thar (WT), Transitional Zone (TZ) and Cultivated Zone (CZ) in Thar. Most strikingly, these ecoregions when overlaid on geographical regions of Thar show that the CZ ecoregion was split between three distant and distinct geographic regions. Further spatial diversity estimates show CZ had the least diversity (273) and highest {beta} diversity (1.8) indicating the least similarity between the districts that comprised this ecoregion. The results suggest CZ as an evolving ecoregion or a consequence of habitat fragmentation due to anthropogenic effects. The presence of least number of exclusive species in CZ (0.2%) and TZ (0.8%) including the near-threatened species like Laticilla burnesii (Rufous-vented grass babbler) and Pelecanus philippensis (Spot-billed pelican) and an endangered species Athene blewitti (Forest Owlet) highlights the need for restoration of these threatened biota and ecoregions. This study for the first time proposes crowd-sourced bird data as an important biota-based tool to understand (a) established ecoregions in an ecosystem, (b) anthropogenic effects of agri-farmlands and (c) relation between geographic regions and biota.

ecology↗

Whole exome-sequencing of vitiligo lesions indicate lower burden of somatic variations: implications in risk for non-melanoma skin cancers

Mapping of somatic variations has enabled understanding the progression of clonal variations from healthy skin to cutaneous malignancies. Highlighting, the adaptive nature of pigmentation, germline mutations in albinism amplify skin cancer susceptibility. However, lower incidence of non-melanoma skin cancer among subjects with acquired depigmenting skin disorder vitiligo is enigmatic and a matter of longstanding debate. To address this, we performed high-coverage exome sequencing of matched non-lesional and lesional vitiligo skin along with whole blood to account for germline variations. Our analysis suggests lower burden of somatic cancer-associated variations in exposed depigmented lesional skin compared to the non-lesional skin. A detailed investigation of vitiligo skin transcriptome reveals elevation of DNA repair and cell-proliferation pathways. Validation by comet-assay for DNA damage and cell cycle analysis of epidermal cells suggest undamaged DNA in vitiligo lesions that could be attributed to higher proliferation-coupled repair. Endorsing this, UV-signature variations are not prominent, instead SBS5 associated with endogenous mutational processes is conspicuous in both the vitiligo tissues. Our systematic pilot study indicates lower somatic mutation burden in vitiligo skin and supports the earlier demographic observation on lower risk of non-melanoma skin cancer in vitiligo subjects, providing an opportunity to learn strategies for cancer prevention from vitiligo. Brief SummaryVitiligo skin harbors decreased somatic variation burden in cancer-associated genes and a concomitant augmentation in DNA repair response, explaining the lower incidence of cutaneous malignancies.

genomics↗

Population History and Genome Wide Association Studies of Birth Weight in a Native High Altitude Ladakhi Population

Pathological low birth weight due to fetal growth restriction (FGR)is an important predictor of adverse obstetric and neonatal outcomes. It is more common amongst native lowlanders when gestating in the hypoxic environment of high altitude, whilst populations who have resided at high altitude for many generations are relatively protected. Genetic study of pregnant populations at high altitude permits exploration of the role of hypoxic in FGR pathogenesis, and perhaps of FGR pathogenesis more broadly. We studied the umbilical cord blood DNA of 316 neonates born to pregnant women managed at the Sonam Norboo Memorial Hospital, Ladakh (altitude 3540m) between February 2017-January 2019. Principal component, admixture and genome wide association studies (GWAS) were applied to dense single nucleotide polymorphism (SNP) genetic data, to explore ancestry and genetic predictors of low birth weight. Our findings support Tibetan ancestry in the Ladakhi population, with subsequent admixture with neighboring Indo-Aryan populations. Fetal growth protection was evident in Ladakhi neonates. Although no variants achieved genome wide significance, we observed nominal association of seven variants across genes (ZBTB38, ZFP36L2, HMGA2, CDKAL1, PLCG1) previously associated with birthweight.

genetics↗

Anti-SARS-CoV-2 potential of Cissampelos pareira L. identified by Connectivity map-based analysis and in vitro studies

BackgroundViral infections have a history of abrupt and severe eruptions through the years in the form of pandemics. And yet, definitive therapies or preventive measures are not present. PurposeHerbal medicines have been a source of various antiviral compounds. An accelerated repurposing potential of antiviral herbs can provide usable drugs and identify druggable targets. In this study, we dissect the anti-coronavirus activity of Cissampelos pareira L (Cipa). using an integrative approach. MethodsWe analysed the signature similarities between predicted antiviral agents and Cipa using the connectivity map (https://clue.io/). Next, we tested the anti-SARS-COV-2 activity of Cipa in vitro. A three-way comparative analysis of Cipa transcriptome, COVID-19 BALF transcriptome and CMAP signatures of small compounds was also performed. ResultsSeveral predicted antivirals showed a high positive connectivity score with Cipa such as apcidin, emetine, homoharringtonine etc. We also observed 98% inhibition of SARS-COV-2 replication in infected Vero cell cultures with the whole extract. Some of its prominent pure constituents e.g pareirarine, cissamine, magnoflorine exhibited 40-80% inhibition. Comparison of genes between BALF and Cipa showed an enrichment of biological processes like transcription regulation and response to lipids, to be downregulated in Cipa while being upregulated in COVID-19. CMAP also showed that Triciribine, torin-1 and VU-0365114-2 had positive connectivity with BALF 1 and 2, and negative connectivity with Cipa.

systems biology↗

Traditional use of Cissampelos pareira L. for hormone disorder and fever provides molecular links of ESR1 modulation to viral inhibition

Bioactive fractions or compounds obtained from medicinal plants have been used for the treatment of multiple diseases. This effect could be due to common pathways underlying these conditions that are targeted by such medicines. In this study, we explored the molecular basis of action of one such herbal formulation Cissampelos pareira, used for the treatment of female hormone disorders and fever. Genome-wide expression studies on MCF7 cell lines treated with Cipa extract were carried out using Affymetrix arrays. Transcriptome analysis revealed a downregulation of signatures of estrogen response governed by estrogen receptor (ER). Molecular docking analysis identified 38 constituent molecules in Cipa that potentially bind ({Delta}G< -7.5) with ER at the same site as estrogen. Cipa transcriptome signatures show high positive connectivity (https://clue.io/) scores with protein translation inhibitors such as emetine (score: 99.61) and knockdown signatures of genes linked to the antiviral response such as ribosomal protein RPL7 (score: 99.92), which is also an ER coactivator. Cipa exhibits antiviral activity in dengue infected MCF7 cells that is decreased upon ESR1 (estrogen receptor 1) gene knockdown. This approach reveals a novel pathway involving ESR1-RPL7 axis that could be a potential target in dengue viral infection.

genomics↗

A rigorous framework for detecting SARS-CoV-2 spike protein mutational ensemble from genomic and structural features

The recent release of SARS-CoV-2 genomic data from several countries has provided clues into the potential antigenic drift of the coronavirus population. In particular, the genomic instability observed in the spike protein necessitates immediate action and further exploration in the context of viralhost interactions. By temporally tracking 527,988 SARS-CoV-2 genomes, we identified invariant and hypervariable regions within the spike protein. We evaluated combination of mutations from SARS-CoV-2 lineages and found that maximum number of lineage-defining mutations were present in the N-terminal domain (NTD). Based on mutant 3D-structural models of known Variants of Concern (VOCs), we found that structural properties such as accessibility, secondary structural type, and intra-protein interactions at local mutation sites are greatly altered. Further, we observed significant differences between intra-protein networks of wild-type and Delta mutant, with the latter showing dense intra-protein contacts. Extensive molecular dynamics simulations of D614G mutant spike structure with hACE2 further revealed dynamic features with 47.7% of mutations mapping on flexible regions of spike protein. Thus, we propose that significant changes within spike protein structure have occurred that may impact SARS-CoV-2 pathogenesis, and repositioning of vaccine candidates is required to contain the spread of COVID-19 pathogen.

genomics↗

Baseline cell proliferation rates and response to UV differ in Lymphoblastoid Cell Lines derived from healthy individuals of extreme constitution types

Differences in human phenotypes and susceptibility to complex diseases are an outcome of genetic and environmental interactions. This is evident in diseases that progress through a common set of intermediate patho-endophenotypes. Precision medicine aims to delineate the molecular players for individualized and early interventions. Functional studies in Lymphoblastoid Cell Line (LCL) model of phenotypically well characterized healthy individuals can help deconvolute and validate these molecular mechanisms. We developed LCLs from eight healthy individuals belonging to three extreme constitution types, deep phenotyped on the basis of Ayurveda. LCLs were characterized by karyotyping and immunophenotyping. Growth characteristics and response to UV was studied in these LCLs. We observed significant differences in cell proliferation rates between the contrasting groups such that one type (Kapha) proliferates significantly slower than the other two (Vata, Pitta). In response to UV, one fast growing group (Vata) shows higher cell death but recovers its numbers due to inherent higher rates of proliferation. The baseline differences in cell proliferation are key to understanding the survival of cells in UV stress. Variability in baseline cellular phenotypes not only explains the cellular basis of different constitutions types but can also help set priors during designing an individualized therapy with DNA damaging agents. This is the first study of its kind that shows variability of intermediate patho-phenotypes amongst healthy individuals that have implications in precision medicine.

cell biology↗

HLA-SPREAD: A comprehensive resource for HLA associated diseases, drug reactions and SNPs across populations

Extreme complexity in the Human Leukocyte Antigens (HLA) system and its nomenclature makes it difficult to interpret and integrate relevant information for HLA associations with diseases, Adverse Drug Reactions (ADR) and Transplantation. PubMed search displays [~]144,000 studies on HLA reported from multiple diseases in diverse locations. Currently, IPD-IMGT/HLA database houses data on 28,320 HLA alleles. We developed an automated pipeline with a unified graphical user interface HLA-SPREAD that provides a structured information on SNPs, Populations, REsources, ADRs and Diseases information. Information on HLA was extracted from [~]24 million PubMed abstracts extracted using Natural Language Processing (NLP). Python scripts were used to mine and curate information on diseases, filter false positives and categorize to 24 tree hierarchical groups and named Entity Recognition (NER) algorithms followed by semantic analysis to infer HLA association(s). This resource from 112 countries and 32 ethnic groups provides interesting insights on: markers associated with allelic/haplotypic association in autoimmune, cancer, viral and skin diseases, transplantation outcome and ADRs for hypersensitivity. Summary information on clinically relevant biomarkers related to HLA disease associations with mapped susceptible/risk alleles are readily retrievable from HLASPREAD. The resource is available at URL http://hla-spread.igib.res.in/. This resource is first of its kind that can help uncover novel patterns in HLA gene-disease associations.

bioinformatics↗

Intra-host variability in global SARS-CoV-2 genomes as signatures of RNA editing: implications in viral and host response outcomes

During the course of the COVID-19 pandemic, large-scale genome sequencing of SARS-CoV-2 has been useful in tracking its spread and in identifying Variants Of Concern (VOC). Besides, viral and host factors could contribute to variability within a host that can be captured in next-generation sequencing reads as intra-host Single Nucleotide Variations (iSNVs). Analysing 1, 347 samples collected till June 2020, we recorded 18, 146 iSNV sites throughout the SARS-CoV-2 genome. Both, mutations in RdRp as well as APOBEC and ADAR mediated RNA editing seem to contribute to the differential prevalence of iSNVs in hosts. Noteworthy, 41% of all unique iSNVs were reported as SNVs by 30th September 2020 in samples submitted to GISAID, which increased to [~]80% by 30th June 2021. Following this, analysis of another set of 1, 798 samples sequenced in India between November 2020 and May 2021 revealed that majority of the Delta (B.1.617.2) and Kappa (B.1.617.1) variations appeared as iSNVs before getting fixed in the population. We also observe hyper-editing events at functionally critical residues in Spike protein that could alter the antigenicity and may contribute to immune escape. Thus, tracking and functional annotation of iSNVs in ongoing genome surveillance programs could be important for early identification of potential variants of concern and actionable interventions. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=177 SRC="FIGDIR/small/417519v3_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@12b6ac2org.highwire.dtl.DTLVardef@16df897org.highwire.dtl.DTLVardef@dbbec2org.highwire.dtl.DTLVardef@c8de14_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗