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Choudhary, S.

Publications and source records attributed to Choudhary, S..

At least 37 records · Page 2Linked to original sources

Conditional CAR T cells with specificity to oncofetal glycosaminoglycans in solid tumors

Glycosaminoglycans are often deprioritized as targets for synthetic immunotherapy due to the complexity of glyco-epitopes and limited options for obtaining specific subtype-binding. Solid tumors express proteoglycans that are modified with oncofetal chondroitin sulfate (CS), a modification normally restricted to the placenta. Here, we report the design and functionality of conditional chimeric antigen receptor (CAR) T cells with selectivity to oncofetal CS. Following expression in T cells, the CAR could be armed with recombinant VAR2CSA lectins (rVAR2) to target tumor cells expressing oncofetal CS. While un-armed CAR T cells remained inactive in the presence of target cells, VAR2-armed CAR T cells displayed robust activation and the ability to eliminate diverse tumor cell types in vitro. Cytotoxicity of the CAR T cells was proportional to the concentration of rVAR2 available to the CAR, offering a potential molecular handle to finetune CAR T cell activity. In vivo, armed CAR T cells rapidly targeted bladder tumors and increased survival of tumor-bearing mice. Thus, our work indicates that cancer-restricted glycosaminoglycans can be exploited as potential targets for CAR T cell therapy.

cancer biology↗

Enhancing affinity of neutralizing SARS-CoV-2 nanobody through facile structure-guided mutations in CDRs

The optimization of antibodies to attain the desired levels of affinity and specificity holds great promise for development of the next generation therapeutics. This study delves into the refinement and engineering of CDRs through in silico affinity maturation followed by binding validation using ITC and pseudovirus-based neutralization assays. Specifically, it focuses on engineering CDRs targeting the epitopes of RBD of the spike protein of SARS-CoV-2. A structure-guided virtual library of 112 single mutations in CDRs was generated and screened against RBD to select the potential affinity-enhancing mutations. Subsequent biophysical studies using ITC provided insights into binding affinity and key thermodynamic parameters. Consistent with in silico findings, seven single mutations resulted in enhanced affinity. The mutants were further tested for neutralization activity against SARS-CoV-2 pseudovirus. L106T, L106Q, S107R, and S107Q generated mutants were more effective in virus-neutralizing with IC50 values of [~]0.03 {micro}M, [~]0.13 {micro}M, [~]0.14 {micro}M, and [~]0.14 {micro}M, respectively as compared to the native nanobody (IC50 [~]0.77 {micro}M). Thus, in this study, the developed computational pipeline guided by structure-aided interface profiles and thermodynamic analysis holds promise for the streamlined development of antibody-based therapeutic interventions against emerging variants of SARS-CoV-2 and other infectious pathogens.

bioengineering↗

Evolved and plastic gene expression in adaptation to a novel niche

Gene expression, resulting from complex regulatory interactions, plays an important role in adaptation and speciation. While gene expression historically has been studied in the context of reproductive isolation in speciation research, a role for evolved differences in gene expression in adaptation to novel niches is increasingly appreciated. How gene expression evolves and enables divergent ecological adaptation, and how changes in gene expression relate to genomic architecture and genetic divergence are pressing questions in understanding the processes of adaptation and ecological speciation. Further, how plasticity in gene expression can both contribute to and be affected by the process of ecological adaptation is a crucial component in understanding gene expression evolution. To address these questions, we investigate the role of evolved and plastic gene expression differences in adaptation leveraging an established host plant shift in the peacock fly Tephritis conura. Using a cross-fostering design where larvae feed on either natal or alternate host plants, we uncover extensive evolved differences in gene expression between the ecotypes, strikingly in genes associated with processing of host plant chemicals. We find limited evidence for plasticity, with some indications of higher plasticity in the ancestral ecotype where the expression of three gene coexpression modules is altered when larvae are cross-fostered to the derived host plant. Interestingly, we find an enrichment of differentially expressed genes within a large, ecotype-specific inversion in the T. conura genome. This finding adds to evidence that inversions are important for enabling diversification in the face of gene flow and underscores that effects on gene expression may be key to understanding the role of inversions.

evolutionary biology↗

Tick bite-induced Alpha-Gal Syndrome and Immunologic Responses in an Alpha-Gal Deficient Murine Model

IntroductionAlpha-Gal Syndrome (AGS) is a delayed allergic reaction due to specific IgE antibodies targeting galactose--1,3-galactose (-gal), a carbohydrate found in red meat. This condition has gained significant attention globally due to its increasing prevalence, with more than 450,000 cases estimated in the United States alone. Previous research has established a connection between AGS and tick bites, which sensitize individuals to -gal antigens and elevate the levels of -gal specific IgE. However, the precise mechanism by which tick bites influence the hosts immune system and contribute to the development of AGS remains poorly understood. This study investigates various factors related to ticks and the host associated with the development of AGS following a tick bite, using mice with a targeted disruption of alpha-1,3-galactosyltransferase (AGKO) as a model organism. MethodsLone-star tick (Amblyomma americanum) and gulf-coast tick (Amblyomma maculatum) nymphs were used to sensitize AGKO mice, followed by pork meat challenge. Tick bite site biopsies from sensitized and non-sensitized mice were subjected to mRNA gene expression analysis to assess the host immune response. Antibody responses in sensitized mice were also determined. ResultsOur results showed a significant increase in the titer of total IgE, IgG1, and -gal IgG1 antibodies in the lone-star tick-sensitized AGKO mice compared to the gulf-coast tick-sensitized mice. Pork challenge in Am. americanum -sensitized mice led to a decline in body temperature after the meat challenge. Gene expression analysis revealed that Am. americanum bites direct mouse immunity toward Th2 and facilitate host sensitization to the -gal antigen, while Am. maculatum did not. ConclusionThis study supports the hypothesis that specific tick species may increase the risk of developing -gal-specific IgE and hypersensitivity reactions or AGS, thereby providing opportunities for future research on the mechanistic role of tick and host-related factors in AGS development.

immunology↗

In Silico Analysis of Drug Off-Target Effects on Diverse Isoforms of Cervical Cancer for Enhanced Therapeutic Strategies

Cervical cancer is a severe medical issue as 500,000 new cases of cervical cancer are identified in the world every year. The selection and analysis of the suitable gene target are the most crucial in the early phases of drug design. The emphasis at one protein while ignoring its several isoforms or splice variations may have unexpected therapeutic or harmful side effects. In this work, we provide a computational analysis of interactions between cervical cancer drugs and their targets that are influenced by alternative splicing. By using open-accessible databases, we targeted 45 FDA-approved cervical cancer drugs targeting various genes having more than two distinct protein-coding isoforms. Binding pocket interactions revealed that many drugs do not have possible targets at the isoform level. In terms of size, shape, electrostatic characteristics, and structural analysis have shown that various isoforms of the same gene with distinct ligand-binding pocket configurations. Our results emphasized the risks of ignoring possibly significant interactions at the isoform level by concentrating just on the canonical isoform and promoting consideration of the impacts of cervical cancer drugs on- and off-target at the isoform level to further research.

bioinformatics↗

Revealing and evaluation of antivirals targeting multiple druggable sites of RdRp complex in SARS-CoV-2

SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) complex consisting of nsp12, nsp7, and nsp8 as the key enzyme for viral genome replication and is a proven antiviral drug target. In this study, molecular interactions of nsp7 and nsp8 with nsp12 and the active site of nsp12 were coterminously targeted using in-silico screening of small molecule libraries to identify potential antivirals. Surface plasmon resonance (SPR) based assay using purified nsp7 and nsp8 proteins was developed, and the binding of identified molecules to targets was validated. The antiviral efficacy of identified small molecules was evaluated using cell-based assays, and potent antiviral effect with EC50 values of 0.56 M, 0.73 M, and 2.8 M was demonstrated by fangchinoline, cepharanthine, and sennoside B, respectively. Further in vivo, investigation using hACE2 mice is being conducted. This is the first study that targets multiple sites in the RdRp complex of SARS-CoV-2 using a structure-based molecular repurposing approach and suggests potential therapeutic options for emerging variants of SARS-CoV-2.

molecular biology↗

Unraveling antiviral efficacy of multifunctional immunomodulatory triterpenoids against SARS-COV-2 targeting virus-specific enzymes

The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may be over, but its variants continue to emerge, and patients with mild symptoms having long COVID is still under investigation. SARS-CoV-2 infection leading to elevated cytokine levels and suppressed immune responses set off cytokine storm, fatal systemic inflammation, tissue damage, and multi-organ failure. Thus, drug molecules targeting the SARS-CoV-2 virus-specific proteins or capable of suppressing the host inflammatory responses to viral infection would provide an effective antiviral therapy against emerging variants of concern. Evolutionarily conserved papain-like protease (PLpro) and main protease (Mpro) play an indispensable role in the virus life cycle and immune evasion. Direct-acting antivirals targeting both these viral proteases represent an attractive antiviral strategy that is also expected to reduce viral inflammation. The present study has evaluated the antiviral and anti-inflammatory potential of natural triterpenoids: azadirachtin, withanolide_A, and isoginkgetin. These molecules inhibit the Mpro and PLpro proteolytic activities with half-maximal inhibitory concentrations (IC50) values ranging from 1.42 to 32.7 {micro}M. Isothermal titration calorimetry (ITC) analysis validated the binding of these compounds to Mpro and PLpro. As expected, the two compounds, withanolide_A and azadirachtin, exhibit potent anti-SARS-CoV-2 activity in cell-based assays, with half- maximum effective concentration (EC50) values of 21.73 {micro}M and 31.19 {micro}M, respectively. The anti-inflammatory role of azadirachtin and withanolide_A when assessed using HEK293T cells were found to significantly reduce the levels of CXCL10, TNF, IL6, and IL8 cytokines, which are elevated in severe cases of COVID-19. Interestingly, azadirachtin and withanolide_A were also found to rescue the decreased type-I interferon response (IFN-1). The results of this study clearly highlight the role of triterpenoids as effective antiviral molecules that target SARS-CoV-2 specific enzymes and also host immune pathways involved in virus mediated inflammation.

molecular biology↗

Characterization of the pearl millet cultivation environments in India: status and perspectives enabled by expanded data analytics and digital tools

The cultivation of pearl millet in India is experiencing important transformations due to changes in weather, socio-economic trends, and technological progress. In this scope, we propose a new characterization of the pearl millet production environment in India using the latest available data and methodology. For that, we constructed a database incorporating data on various aspects of pearl millet cultivation at the district level from 1998 to 2017. We complemented this analysis using extensive pearl millet agri-system simulations to evaluate crop models abilities to reconstruct and analyse the system at an unprecedented scale. We also proposed a new method to infer system parameters from crop model data. Our results show important differences compared to the characterization currently used. The East part of the pearl millet tract (East Rajasthan, Haryana, Uttar Pradesh, and Madhya Pradesh) emerges as the only region where pearl millet cultivation has grown with potential surplus that is likely exported. Important reductions of pearl millet cultivated area in Gujarat, Maharashtra and Karnataka are potentially due to economy-driven transition to other more pro table crops like cotton, maize, or castor bean. The data used also point toward a constant increase of the rain during the growing season which could have major consequences on the future of this crop, with potential positive effects like extra yield but also negative like extra pressure due to more intense and erratic rainfall or transition to more pro table crops requiring more water. Despite difficulties to predict pearl millet yield in rapidly changing environments, the tested crop models reflected reasonably well the pearl millet production system, thus, setting the base for effective system design in future climatic scenarios. Our data and results have been gathered in an open-source interactive online application.

plant biology↗

Rab7 dependent regulation of goblet cell protein CLCA1 modulates gastrointestinal homeostasis

Inflammation in ulcerative colitis is typically restricted to the mucosal layer of distal gut. Disrupted mucus barrier coupled with microbial dysbiosis has been reported to occur prior to the onset of inflammation. Here, we show the involvement of vesicular trafficking protein Rab7 in regulating the colonic mucus system. We identified a lowered Rab7 expression in goblet cells of colon during human and murine colitis. In vivo Rab7 knocked down mice (Rab7KD) displayed a compromised mucus layer, increased microbial permeability and depleted gut microbiota with enhanced susceptibility to dextran sodium-sulfate induced colitis. These abnormalities emerged owing to altered mucus composition, as revealed by mucus proteomics, with increased expression of mucin protease Chloride channel accessory 1 (CLCA1). Mechanistically, Rab7 maintained optimal CLCA1 levels by controlling its lysosomal degradation, a process that was dysregulated during colitis. Overall, our work establishes a role for Rab7 dependent control of CLCA1 secretion required for maintaining mucosal homeostasis.

cell biology↗

CPA-Perturb-seq: Multiplexed single-cell characterization of alternative polyadenylation regulators

Most mammalian genes have multiple polyA sites, representing a substantial source of transcript diversity that is governed by the cleavage and polyadenylation (CPA) regulatory machinery. To better understand how these proteins govern polyA site choice we introduce CPA-Perturb-seq, a multiplexed perturbation screen dataset of 42 known CPA regulators with a 3 scRNA-seq readout that enables transcriptome-wide inference of polyA site usage. We develop a statistical framework to specifically identify perturbation-dependent changes in intronic and tandem polyadenylation, and discover modules of co-regulated polyA sites exhibiting distinct functional properties. By training a multi-task deep neural network (APARENT-Perturb) on our dataset, we delineate a cis-regulatory code that predicts responsiveness to perturbation and reveals interactions between distinct regulatory complexes. Finally, we leverage our framework to re-analyze published scRNA-seq datasets, identifying new regulators that affect the relative abundance of alternatively polyadenylated transcripts, and characterizing extensive cellular heterogeneity in 3 UTR length amongst antibody-producing cells. Our work highlights the potential for multiplexed single-cell perturbation screens to further our understanding of post-transcriptional regulation in vitro and in vivo.

genomics↗

Crystal structure and activity profiling of deubiquitinating inhibitors-bound to SARS-CoV-2 papain like protease revealed new allosteric sites for antiviral therapies

SARS-CoV-2 papain-like protease (PLpro) is a key antiviral target as it plays a dual role in viral replication and in modulation of innate immune responses by deubiquitinating or deISGylating host proteins. Thus, therapeutic targeting of PLpro serves as a two-pronged approach to abate SARS-CoV-2. Interestingly, PLpro shares structural and functional similarities with the cellular deubiquitinating enzymes (DUBs) and in this study this fact has been exploited to identify DUBs inhibitors that target the Ubiquitin/ISG15 binding site and the known catalytic substrate binding pocket of PLpro. Among these identified compounds, flupenthixol, lithocholic acid, teneligliptin, and linagliptin markedly inhibited the proteolytic activity of purified PLpro and demonstrated potent antiviral efficacies against SARS-CoV-2 infection in a dose dependent manner. Treatment with lithocholic acid and linagliptin suppressed the expression levels of inflammatory mediators, thereby, restoring immune responses. Crystal structures of SARS-CoV-2 PLpro in complex with linagliptin and with lithocholic acid determined in this study, revealed insights into the inhibition mechanism with unique interactions within the Ubiquitin/ISG15 binding site (S2 site; Phe69, His73, Asn128, His175) and the substrate binding cleft. Additionally, oral and intraperitoneal treatments with linagliptin increased survival, reduced lung viral load, and ameliorated histopathological damage in mouse-adapted model of SARS-CoV-2 infection. The study for the first time demonstrates a two-pronged strategy using DUB inhibitors that target the proteolytic activity of PLpro and simultaneously reinstates the hosts immune response against SARS-CoV-2.

molecular biology↗

Discovery of anti-SARS-CoV-2 molecules using structure-assisted repurposing approach targeting N-protein

The N-terminal (NTD) and the C-terminal (CTD) domains comprises the structure of the SARS-CoV-2 Nucleocapsid (N) protein. Crystal structure of the SARS-CoV-2 N protein determined by Kang et al, 2020, reveals the N-terminal RNA binding domain as a unique drug binding site. The present study targets this unique pocket with identified antivirals using structure-based drug repurposing approach. The high-affinity binding of potential molecules was characterised thermodynamically using Isothermal titration calorimetry. The selected molecules showed an inhibitory RNA binding potential between 8.8 M and 15.7 M IC50 when evaluated with a fluorescent-based assay. Furthermore, in an in vitro cell-based antiviral assay, these ten antiviral molecules demonstrated high effectiveness in halting SARS-CoV-2 replication. Telmisartan and BMS-189453, the two highly potent antivirals, have [~]0.98M and 1.02 M EC50 values with the selective index of >102, and >98, respectively. For the first time, this study presents drug molecules specifically targeting the NTD of SARS-CoV-2, offering essential insights for the development of therapeutic interventions against this virus, which is still a potential global threat to public health.

molecular biology↗

Dictionary learning for integrative, multimodal, and scalable single-cell analysis

Mapping single-cell sequencing profiles to comprehensive reference datasets represents a powerful alternative to unsupervised analysis. Reference datasets, however, are predominantly constructed from single-cell RNA-seq data, and cannot be used to annotate datasets that do not measure gene expression. Here we introduce bridge integration, a method to harmonize singlecell datasets across modalities by leveraging a multi-omic dataset as a molecular bridge. Each cell in the multi-omic dataset comprises an element in a dictionary, which can be used to reconstruct unimodal datasets and transform them into a shared space. We demonstrate that our procedure can accurately harmonize transcriptomic data with independent single cell measurements of chromatin accessibility, histone modifications, DNA methylation, and protein levels. Moreover, we demonstrate how dictionary learning can be combined with sketching techniques to substantially improve computational scalability, and harmonize 8.6 million human immune cell profiles from sequencing and mass cytometry experiments. Our approach aims to broaden the utility of single-cell reference datasets and facilitate comparisons across diverse molecular modalities. AvailabilityInstallation instructions, documentations, and vignettes are available at http://www.satijalab.org/seurat

genomics↗

Selective estrogen receptor modulators limit alphavirus infection by targeting the viral capping enzyme nsP1

Alphaviruses cause animal or human diseases that are characterized by febrile illness, debilitating arthralgia, or encephalitis. Selective estrogen receptor modulators (SERMs), a class of FDA-approved drugs, have been shown to possess antiviral activities against multiple viruses, including Hepatitis C virus, Ebola virus, dengue virus, and vesicular stomatitis virus. Here, we evaluated three SERM compounds, namely 4-hydroxytamoxifen, tamoxifen, and clomifene, for plausible antiviral properties against two medically important alphaviruses, chikungunya virus (CHIKV) and Sindbis virus (SINV). In cell culture settings, these SERMs displayed potent activity against CHIKV and SINV at non-toxic concentrations with EC50 values ranging between 400 nM and 3.9 M. Further studies indicated that these compounds inhibit a post-entry step of the alphavirus life cycle, while enzymatic assays involving purified recombinant proteins confirmed that these SERMs target the enzymatic activity of non-structural protein 1 (nsP1), the capping enzyme of alphaviruses. Finally, tamoxifen treatment restrained CHIKV growth in the infected mice and diminished musculoskeletal pathologies. Combining biochemical, cell culture-based studies, and in vivo analyses, we strongly argue that SERM compounds, or their derivatives, may provide for attractive therapeutic options against alphaviruses.

immunology↗

Comparison and evaluation of statistical error models for scRNA-seq

Heterogeneity in single-cell RNA-seq (scRNA-seq) data is driven by multiple sources, including biological variation in cellular state as well as technical variation introduced during experimental processing. Deconvolving these effects is a key challenge for preprocessing workflows. Recent work has demonstrated the importance and utility of count models for scRNA-seq analysis, but there is a lack of consensus on which statistical distributions and parameter settings are appropriate. Here, we analyze 58 scRNA-seq datasets that span a wide range of technologies, systems, and sequencing depths in order to evaluate the performance of different error models. We find that while a Poisson error model appears appropriate for sparse datasets, we observe clear evidence of overdispersion for genes with sufficient sequencing depth in all biological systems, necessitating the use of a negative binomial model. Moreover, we find that the degree of overdispersion varies widely across datasets, systems, and gene abundances, and argues for a data-driven approach for parameter estimation. Based on these analyses, we provide a set of recommendations for modeling variation in scRNA-seq data, particularly when using generalized linear models or likelihood-based approaches for preprocessing and downstream analysis.

genomics↗

BNT162b vaccines are immunogenic and protect non-human primates against SARS-CoV-2

A safe and effective vaccine against COVID-19 is urgently needed in quantities sufficient to immunise large populations. We report the preclinical development of two BNT162b vaccine candidates, which contain lipid-nanoparticle (LNP) formulated nucleoside-modified mRNA encoding SARS-CoV-2 spike glycoprotein-derived immunogens. BNT162b1 encodes a soluble, secreted, trimerised receptor-binding domain (RBD-foldon). BNT162b2 encodes the full-length transmembrane spike glycoprotein, locked in its prefusion conformation (P2 S). The flexibly tethered RBDs of the RBD-foldon bind ACE2 with high avidity. Approximately 20% of the P 2S trimers are in the two-RBD down, one-RBD up state. In mice, one intramuscular dose of either candidate elicits a dose-dependent antibody response with high virus-entry inhibition titres and strong TH1 CD4+ and IFN{gamma}+ CD8+ T-cell responses. Prime/boost vaccination of rhesus macaques with BNT162b candidates elicits SARS-CoV-2 neutralising geometric mean titres 8.2 to 18.2 times that of a SARS-CoV-2 convalescent human serum panel. The vaccine candidates protect macaques from SARS-CoV-2 challenge, with BNT162b2 protecting the lower respiratory tract from the presence of viral RNA and with no evidence of disease enhancement. Both candidates are being evaluated in phase 1 trials in Germany and the United States. BNT162b2 is being evaluated in an ongoing global, pivotal Phase 2/3 trial (NCT04380701, NCT04368728).

immunology↗

A small molecule that binds an RNA repeat expansion stimulates its decay via the exosome complex

We describe the design of a small molecule that binds the structure of a r(CUG) repeat expansion [r(CUG)exp] and reverses molecular defects in two diseases mediated by the RNA - myotonic dystrophy type 1 (DM1) and Fuchs endothelial corneal dystrophy (FECD). Thus, a single structure-specific ligand has potential therapeutic benefit for multiple diseases, in contrast to oligonucleotide-based modalities that are customized for each disease by nature of targeting the gene that harbors the repeat. Indeed, the small molecule binds the target with nanomolar affinity and >100-fold specificity vs. many other RNAs and DNA. Interestingly, the compounds downstream effects are different in the two diseases, owing to the location of the repeat expansion. In DM1, r(CUG)exp is harbored in the 3 untranslated region (UTR) of and mRNA, and the compound has no effect on the RNAs abundance. In FECD, however, r(CUG)exp is located in an intron, and the small molecule, by binding the repeat expansion, facilitates excision of the intron, which is then degraded by the exosome complex exonuclease, hRRP6. Thus, structure-specific, RNA-targeting small molecules can act disease-specifically to affect biology, either by disabling its gain-of-function mechanism (DM1) or by stimulating quality control pathways to rid a disease-affected cell of a toxic RNA (FECD). Significance statementMany different diseases are caused by toxic structured RNAs. Herein, we designed a lead small molecule that binds a toxic structure and rescues disease biology. We show that a structure-specific small molecule can improve disease-associated defects in two diseases that share the common toxic RNA structure. In one disease, the toxic structure is harbored in an intron and causes its retention. The compound facilitates processing of a retained intron, enabling the disease-affected cell to remove the toxic RNA.

cell biology↗

Presence of polyadenylated 3' tail in RNA of Pepper mild mottle virus allows the Oligo(dT)18 in Priming cDNA Synthesis of its genomic RNA template

The PCR amplification of majority of the ssRNA of both genomic and non-genomic mRNA is accomplished by RT-PCR. The mRNA is subjected to cDNA synthesis using reverse transcriptase and either Oligo(dT)18, or random or gene specific reverse primers based priming strategies. The choice of primer largely depends on the nature of 3 prime terminus of mRNA and length of cDNA synthesized. In general, oligo(dT)18 is the preferred choice for mRNAs having poly(A) tail at 3 prime terminus. In general, tobamoviruses lack any poly(A) tail at their 3 prime untranslated region (UTR) which forms a tRNA like structure and upstream pseudoknot domain except tow viruses viz., Hibiscus latent Fort Pierce virus (HLFPV) and Hibiscus latent Singapore virus (HLSV) which accommodate internal poly(A) sequences of 46 and 87 nucleotides long, respectively in their 3 prime UTR. However, determination of full nucleotide sequence of Pepper mild mottle virus (PMMoV) using an oligo(dT)18 primed cDNA as template indicated the libertinism of oligo(dT)18 in priming cDNA synthesis of RNA template which are known to lack poly(A) tail. at the end or internally at its 3 prime end. Moreover, coat protein (CP) gene of PMMoV and bean common mosaic virus (BCMV) (Potyvirus with a poly(A) tract at its 3 prime end) was amplified using cDNA primed with random primer as well as oligo(dT)18 was successfully amplified but with significant variation in the intensity of the amplification band in case of PMMoV but not in BCMV. This clearly indicated the presence of PMMoV mRNA with polyadenylated 3 prime tail in total RNA isolated from PMMoV infected capsicum leaves with abundance of non-polyadenylated PMMoV genomic RNA (gRNA). Hence, we hypothesize that the generation of polyadenylated RNA population during the infection cycle of PMMoV in pepper may be possible reason for libertinism of oligo(dT)18 in priming cDNA synthesis of RNA template isolated from PMMoV infected leaves followed by amplification of entire PMMoV genome through RT-PCR. This is first study indicating the presence of polyadenylated or polyadenylated rich regions in PMMoV gRNA acquired during the infection cycle in pepper.

pathology↗