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Pandey, P.

Publications and source records attributed to Pandey, P..

At least 37 records · Page 2Linked to original sources

In bacterial membranes lipid II changes the stability of pores formed by the antimicrobial peptide nisin

Resistance to available antibiotics poses a growing challenge to modern medicine as this often disallows infections to be controlled. This problem can only be alleviated by developing new drugs. Nisin, a natural lantibiotic with broad antimicrobial activity, has shown promise as a potential candidate for combating antibiotic-resistant bacteria. However, nisin is poorly soluble and barely stable at physiological pH, which, despite attempts to address these issues through mutant design, has restricted its use as a antibacterial drug. Therefore, gaining a deeper understanding of the antimicrobial effectiveness, which relies in part on its ability to form pores, is crucial for finding innovative ways to manage infections caused by resistant bacteria. Using large-scale molecular dynamics simulations we find that the bacterial membrane specific lipid II increases the stability of pores formed by nisin, and that the interplay of nisin and lipid II reduces the overall integrity of bacterial membranes by changing local thickness and viscosity.

biophysics↗

Molecular Regulation of Invasive Protrusion Formation at the Mammalian Fusogenic Synapse

Invasive membrane protrusions play a central role in a variety of cellular processes. Unlike filopodia, invasive protrusions are mechanically stiff and propelled by branched actin polymerization. However, how branched actin filaments are organized to create finger-like invasive protrusions remains a longstanding question in cell biology. Here, by examining the mammalian fusogenic synapse, where invasive protrusions are generated to promote cell membrane juxtaposition and fusion, we have uncovered the mechanism underlying invasive protrusion formation. We show that two Arp2/3 nucleation promoting factors (NPFs), WAVE and N-WASP, exhibit distinct and complementary localization patterns in the protrusions. While WAVE is at the leading edge, N-WASP is recruited by its interacting protein, WIP, to the shaft of the protrusion. During protrusion growth, new branched actin filaments are polymerized at the periphery of the shaft and crosslinked to preexisting actin bundles by the "pioneer" actin-bundling protein dynamin. The thickened actin bundles are further stabilized by WIP, which functions as a WH2 domain-mediated actin-bundling protein. Disrupting any of these components results in defective protrusions and myoblast fusion in cultured cells and/or in mouse embryos. Thus, our study has revealed the intricate spatiotemporal coordination between two NPFs and two actin-bundling proteins in creating invasive protrusions and has general implications in understanding protrusion formation in many cellular processes beyond cell-cell fusion.

cell biology↗

Cardiomyocyte mechanical memory is regulated through the talin interactome and DLC1 dependent regulation of RhoA

Mechanical properties are cues for many biological processes in health or disease. Likewise, in the heart it is becoming clearer that mechanical signals are critically involved in the disease progression. Cardiomyocytes sense the mechanical properties of their environment at costameres through integrins and associated proteins, including the mechanosensitive protein talin as an integral component. Our previous work indicated different modes of talin tension, depending on the extracellular matrix stiffness. Here, we wanted to study how this leads to downstream mechanotransduction changes, further influencing the cardiomyocyte phenotype. Combining immunoprecipitations and Fluorescence Recovery after Photobleaching (FRAP) experiments, we identify that the talin interacting proteins DLC1, RIAM and paxillin each preferentially bind to talin at specific extracellular matrix stiffness and this interaction is preserved even in absence of tension. This demonstrates a mechanical memory, which we confirm further in vivo in mouse hearts. The mechanical memory is regulated through adhesion related kinase pathways. Optogenetic experiments using the LOVTRAP systems confirm direct competition between the individual proteins, which again is altered through phosphorylation. DLC1 regulates RhoA activity in a stiffness dependent way and both loss and overexpression of DLC1 results in myofibrillar disarray. Together the study demonstrates a mechanism of imprinting mechanical information into the talin-interactome to finetune RhoA activity, with impacts on cardiac health and disease.

cell biology↗

A RabGAP-Rab GTPase pair regulates plant autophagy and immunity

Plants rely on autophagy and membrane trafficking to tolerate stress, combat infections, and maintain cellular homeostasis. However, the molecular interplay between autophagy and membrane trafficking is poorly understood. Using an AI-assisted approach, we identified Rab3GAP-like (Rab3GAPL) as an important membrane trafficking node that controls plant autophagy negatively. Rab3GAPL suppresses autophagy by binding to ATG8, the core autophagy adaptor, and deactivating Rab8a, a small GTPase essential for autophagosome formation and defense-related secretion. Rab3GAPL from Nicotiana benthamiana, but not its mutated form deficient in ATG8 binding, reduced autophagic flux in N. benthamiana and Arabidopsis. Furthermore, Rab3GAPL-knockout mutants of the liverwort Marchantia polymorpha exhibited enhanced autophagic flux under both normal and heat stress conditions, suggesting that Rab3GAPLs negative regulatory role in autophagy is conserved in land plants. Beyond autophagy regulation, Rab3GAPL modulates focal immunity against the oomycete pathogen Phytophthora infestans by preventing defense-related secretion. Altogether, our results suggest that Rab3GAPL acts as a molecular rheostat to coordinate autophagic flux and defense-related secretion by restraining Rab8a-mediated trafficking. This unprecedented interplay between a RabGAP-Rab pair and ATG8 sheds new light on the intricate membrane transport mechanisms underlying plant autophagy and immunity.

plant biology↗

sAMP-VGG16: Drude polarizable force-field assisted image-based deep neural network prediction model for short antimicrobial peptides

During the last three decades, antimicrobial peptides (AMPs) have emerged as a promising therapeutic alternative to antibiotics. The approaches for designing AMPs span from experimental trial-and-error methods to synthetic hybrid peptide libraries. To overcome the exceedingly expensive and time-consuming process of designing effective AMPs, many computational and machine-learning tools for AMP prediction have been recently developed. In general, to encode the peptide sequences, featurization in these rely on approaches based on (a) amino acid composition, (b) physicochemical properties, (c) sequence similarity, and (d) structural properties. In this work, we present an image-based deep neural network model to predict AMPs, where we are using feature encoding based on Drude polarizable force-field atom types, which can capture the peptide properties more efficiently compared to conventional feature vectors. The proposed prediction model identifies AMPs with promising accuracy and efficiency and can be used as a next-generation screening method for predicting new AMPs. The source code is publicly available at the Figshare server sAMP-VGG16.

biophysics↗

A familial natural short sleep mutation promotes healthy aging and extends lifespan in Drosophila

Sleep loss typically imposes negative effects on animal health. However, humans with a rare genetic mutation in the dec2 gene (dec2P384R) present an exception; these individuals sleep less without the usual effects associated with sleep deprivation. Thus, it has been suggested that the dec2P384R mutation activates compensatory mechanisms that allows these individuals to thrive with less sleep. To test this directly, we used a Drosophila model to study the effects of the dec2P384Rmutation on animal health. Expression of human dec2P384R in fly sleep neurons was sufficient to mimic the short sleep phenotype and, remarkably, dec2P384R mutants lived significantly longer with improved health despite sleeping less. The improved physiological effects were enabled, in part, by enhanced mitochondrial fitness and upregulation of multiple stress response pathways. Moreover, we provide evidence that upregulation of pro-health pathways also contributes to the short sleep phenotype, and this phenomenon may extend to other pro-longevity models.

cell biology↗

Eggplant's chlorogenic acid provides resistance against the tropical armyworm

Lepidopteran pests are the major crop devastators. Farmers have to resort to heavy synthetic pesticide application for their control. It increases the pesticide residue contamination on produce and causes health hazards. Synthetic pesticides also endanger beneficial insects and pollute the environment. Therefore, the use of safe and eco-friendly botanicals as biopesticides is rapidly increasing. Despite their high demand, only a few botanicals are commercially available. Consequently, biopesticide discovery research boomed in the last decade. Spodoptera litura Fabricius (armyworm) is a polyphagous multi-insecticide-resistant lepidopteran pest. It is a serious concern for several commercially important crops. In this study, we employed a chemical ecology approach to discover a biopesticide against it. As a biopesticide source, we explored secondary metabolite-rich Solanum melongena L. (eggplant), one of the armyworms hosts. We found that the armyworm larvae show differential occurrence on seven eggplant varieties; the Himalayan eggplant variety RC-RL-22 (RL22) showed no armyworm infestation. When reared in a no-choice condition on RL22, larval mortality was two-fold higher, and mass was three-fold lower than the varieties showing high infestation. We tested whether RL22s secondary metabolite(s) were associated with this hampered larval performance. Using LC-ESI-QTOF-based non-targeted metabolomics of eggplant varieties, we identified candidate metabolites. 5-O-caffeoylquinic acid (chlorogenic acid; CGA) showed a strong negative correlation (r= -0.88; p= 0.008) with the larval performance. CGA-spiked (average physiological concentration) artificial diet (CGA-AD)-fed larvae showed a three-fold mass reduction and two-fold mortality increase than the control artificial diet (AD)-fed larvae; pupation and eclosion also significantly reduced (1.3-fold and 1.4-fold, respectively) in the CGA-ingested larvae. We used a reverse genetics approach to assess the in planta insecticidal potential of CGA. When RL22s CGA biosynthesis gene hydroxycinnamoyl-CoA quinate transferase (SmHQT) was silenced using virus-induced gene silencing (VIGS), CGA levels decreased by three-fold. This CGA depletion rendered RL22 two-fold armyworm-susceptible than controls. Foliar CGA application restored RL22s armyworm resistance. Overall, this study showed that CGA exhibits larvicidal properties against the armyworm. It is also safe for beneficial organisms. CGA is a well-known dietary supplement and an antioxidant for humans. Thus, it is safe for human consumption. Together, high CGA-containing varieties can be used to reduce the armyworm infestation risk. CGA is a promising biopesticide candidate for the field trial phase against the lepidopteran pests, especially armyworm. If successful, it can be integrated into the pest control measures.

plant biology↗

Stress Combinations and their Interactions inPlants Database (SCIPDb): A one-stop resource for understanding combined stress responses in plants

We have developed Stress Combinations and their Interactions in Plants Database (SCIPDb; http://www.nipgr.ac.in/scipdb.php), a compendium and interactive platform offering information on both morpho-physio-biochemical (phenome) and molecular (transcriptome) responses of plants to different combinations of stresses. To delineate the effects of various stress combinations/categories on yield in major agricultural crops, global phenome data from 939 studies was analyzed and results showed that yield was affected to the greatest extent under the abiotic-abiotic stress category, followed by the biotic-biotic and abiotic-biotic stress categories. In the abiotic-abiotic stress category, drought-heat, heat-salinity, and ozone-UV are the major stress combinations causing high yield loss in barley, wheat, soybean, and quinoa crops. In the abiotic-biotic stress category, the salinity-weed stress combination causes highest yield loss in rice crop. In the biotic-biotic stress category, the nematode-fungus combination was most detrimental, causing considerable yield losses in potato, groundnut, and sugar beet crops. Transcriptome datasets from 36 studies hosted in SCIPDb identified novel genes. Thus far, these genes have not been known to play a role in combined stress. Integretome analysis under combined drought-heat stress pinpointed carbohydrate, amino acid, and energy metabolism pathways as the crucial metabolic, proteomic, and transcriptional components in plant tolerance to combined stress. These examples illustrate the application of SCIPDb in identifying novel genes and pathways involved in combined stress tolerance. Further, we showed the application of this database in identifying novel candidate genes and pathways for combined drought and pathogen stress tolerance in Arabidopsis and chickpea. To our knowledge, SCIPDb is the only publicly available platform that provides extensive information and paves the way for advancing mechanistic understanding of plant responses to combined stresses.

plant biology↗

Discovery, Synthesis, and Optimization of 1,2,4-Triazolyl Pyridines Targeting Mycobacterium tuberculosis

Tuberculosis (TB) results in 1.5 million deaths every year. The rise in multi-drug resistant TB underscores the urgent need to develop new antibacterials, particularly those with new chemical entities and/or novel mechanisms of action that can be used in combination therapy with existing drugs to prevent the rapid emergence of resistance. Herein, we report the discovery and synthesis of a new series of compounds containing a 3-thio-1,2,4-triazole moiety that show inhibition of Mycobacterium tuberculosis (Mtb) growth and survival. Structure-activity relationship studies led us to identify potent analogs displaying nanomolar inhibitor activity, specifically against Mtb. These potent analogs exhibit a promising ADME/pharmacokinetic profile and no cytotoxicity in mammalian cells at over 100 times the effective dose in Mtb. Our preliminary investigations into the mechanism of action suggest this series is not engaging promiscuous targets and, thereby, could be acting on a novel target. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=79 SRC="FIGDIR/small/516356v1_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@1fd7a78org.highwire.dtl.DTLVardef@738c7dorg.highwire.dtl.DTLVardef@c7957org.highwire.dtl.DTLVardef@f26ae3_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

E2 ubiquitin conjugase Bendless is essential for PINK1-Park activity to regulate Mitofusin under mitochondrial stress

Cells under mitochondrial stress often co-opt mechanisms to maintain energy homeostasis, mitochondrial quality control and cell survival. A mechanistic understanding of such responses is crucial for further insight into mitochondrial biology and diseases. Through an unbiased genetic screen in Drosophila, we identify that mutations in lrpprc2, a homolog of the human LRPPRC gene that is linked to the French-Canadian Leigh syndrome, results in PINK1-Park activation. While the PINK1-Park pathway is well known to induce mitophagy, we show that in the case of lrpprc2 mutants, PINK1-Park regulates mitochondrial dynamics by inducing degradation of the mitochondrial fusion protein Mitofusin/Marf. We also discover that Bendless, a K63-linked E2 conjugase, is a regulator of Marf, as loss of bendless results in increased Marf levels. We show that Bendless is required for PINK1 stability, and subsequently for PINK1-Park mediated Marf degradation under physiological conditions, and in response to mitochondrial stress as seen in lrpprc2. Additionally, we show that loss of Bendless in lrpprc2 mutant eye results in photoreceptor degeneration, indicating a neuroprotective role for Bendless-PINK1-Park mediated Marf degradation. Based on our observations, we propose that certain forms of mitochondrial stress activate Bendless-PINK1-Park to limit mitochondrial fusion, which is a cell-protective response.

genetics↗

Anticancer drug doxorubicin spontaneously reacts with GTP and dGTP

Here we reported a spontaneous reaction between anticancer drug doxorubicin and GTP or dGTP. Incubation of doxorubicin with GTP or dGTP at 37 {degrees}C or above yields a covalent product: the doxorubicin-GTP or -dGTP conjugate where a covalent bond is formed between the C14 position of doxorubicin and the 2-amino group of guanine. Density functional theory calculations show the feasibility of this spontaneous reaction. Fluorescence imaging studies demonstrate that the doxorubicin-GTP and -dGTP conjugates cannot enter nuclei although they rapidly accumulate in human SK-OV-3 and NCI/ADR-RES cells. Consequently, the doxorubicin-GTP and -dGTP conjugates are less cytotoxic than doxorubicin. We also demonstrate that doxorubicin binds to ATP, GTP, and other nucleotides with a dissociation constant (Kd) in the sub-millimolar range. Since human cells contain millimolar levels of ATP and GTP, these results suggest that doxorubicin may target ATP and GTP, energy molecules that support essential processes in living organisms.

cancer biology↗

Regulation of Cardiomyocyte Adhesion and Mechanosignalling Through Distinct Nanoscale Behaviour of Integrin Ligands Mimicking Healthy or Fibrotic ECM

The stiffness of the cardiovascular environment changes during ageing and in disease and contributes to disease incidence and progression. Changing collagen expression and crosslinking regulate the rigidity of the cardiac ECM. Additionally, basal lamina glycoproteins, especially laminin and fibronectin regulate cardiomyocyte adhesion formation, mechanics and mechano-signalling. Laminin is abundant in the healthy heart, but fibronectin is increasingly expressed in the fibrotic heart. ECM receptors are co-regulated with the changing ECM. Due to differences in integrin dynamics, clustering, and downstream adhesion formation this is expected to ultimately influence cardiomyocyte mechanosignalling; however details remain elusive. Here we sought to investigate how different cardiomyocyte ligand/integrin combinations are affecting adhesion formation, traction forces and mechanosignalling, using a combination of uniformly coated surfaces with defined stiffness, PDMS nanopillars, micropatterning and specifically designed bionanoarrays for precise ligand presentation. Thereby we find that neonatal rat cardiomyocytes (which express both laminin and fibronectin binding integrins) adhesion nanoscale organisation, signalling and traction force generation are strongly dependent on the integrin/ligand combination. Together our data indicates that the presence of fibronectin in combination with the enhanced stiffness in fibrotic areas will strongly impact on the cardiomyocyte behaviour and influence disease progression.

cell biology↗

Simultaneous therapeutic targeting of inflammation and virus ameliorates influenza pneumonia and protects from morbidity and mortality

Pneumonia is a severe complication caused by inflammation of the lungs following infection with seasonal and pandemic strains of influenza A virus (IAV) that can result in lung pathology, respiratory failure and death. There is currently no treatment available for severe disease and pneumonia caused by IAV. Antivirals are available, but they are far from satisfactory if treatment is not initiated within 48 hours of symptoms onset. Influenza complications and mortality are often associated with high viral load and excessive lung inflammatory cytokine response. Therefore, we simultaneously targeted IAV with the antiviral drug oseltamivir and inflammation with the anti-inflammatory drug etanercept, targeting TNF after the onset of clinical signs to treat IAV pneumonia effectively. The combined treatment effectively reduced lung viral load, lung pathology, morbidity and mortality during respiratory IAV infection in mice, contemporaneous with significant downregulation of the inflammatory cytokines TNF, IL-1{beta}, IL-6, IL-12p40, chemokines CCL2, CCL5 and CXCL10 and dampened STAT3 activation. Consequently, combined therapy with oseltamivir and a STAT3 inhibitor also effectively reduced clinical disease and lung pathology. Combined treatment using either of the anti-inflammatory drugs and oseltamivir dampened an overlapping set of cytokines. Thus, combined therapy targeting a specific cytokine or cytokine signaling pathway plus an antiviral drug provides an effective treatment strategy for ameliorating IAV pneumonia. Effective treatment of IAV pneumonia required multiple doses of etanercept and a high dose of oseltamivir. This approach might apply to the treatment of pneumonia caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Significance StatementAntivirals against influenza A virus (IAV) are ineffective in treating pneumonia if administered 48 h after onset of disease symptoms. The host inflammatory response and tissue damage caused by IAV are responsible for lung pathology. We reasoned that targeting both virus and inflammation would be more effective in reducing lung pathology and pneumonia, morbidity and mortality. The simultaneous treatment with an anti-inflammatory drug targeting TNF or STAT3, combined with the anti-IAV antiviral drug, oseltamivir, significantly improved clinical disease, reduced lung viral load and pathology, and protected mice from severe pneumonia. The combined treatment suppressed multiple pro-inflammatory cytokines and cytokine signaling pathways. Thus, after the onset of disease symptoms, both virus and inflammation must be targeted to treat IAV pneumonia effectively.

microbiology↗

Single-Cell Transcriptome Analysis Identifies Novel Biomarkers Involved in Major Liver Cancer Subtypes

Liver cancers including hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) are leading cause of death worldwide. Single-cell transcriptomics studies have vast potential in advancing our understanding of cancers by defining the cellular composition of different solid tumor types. We peformed an integrated analysis using single-cell RNA sequencing (scRNA-seq) data from cancerous and healthy liver tissues in order to identify the molecular progression and intercellular heterogeneity across cell types in the liver cancer. Moreover, we performed a subtype specific analyses, separately for HCC and ICC, to identify any molecular drivers uniquely associated with these liver cancers. The scRNA-seq dataset comprising 5 healthy controls and 19 liver cancer patients were collected from Human Cell Atlas and Gene Expression Omnibus (GEO), respectively. Our analyses confirmed upregulation of four previously known malignant cell marker genes, namely, EPCAM, KRT19, KRT7 and S100P in the cancerous liver cells. Of these, KRT7 gene has been reported to be associated with ovarian cancer in the past studies. Noteworthy, four marker genes specific to the G1/S (MCM5 and PCNA) and G2/M phases (HMGB2 and CKS2) of the cell cycle were upregulated in the cancerous liver cells. This indicates that these four marker genes are actively dividing in these two phases in cancerous cells as compared to normal liver cells. Our differential expression analysis identified 2 upregulated genes (ATF3 and S100A11) and 2 downregulated genes (FCN3 and FGB) in the liver cancer. Our subtype based differential expression analysis identified 4 genes (HSPA6, LMNA, ATP1B1 and DCXR) specific to HCC and 3 genes (HSPB1, APOC3 and APOA1) specific to ICC. CD4+ T-cell, Hepatocyte, neutrophil, mesenchymal cells and liver bud hepatic cells are the predominant cell-types in liver cells. Our scRNA-seq study revealed the mesenchymal cells as potential malignant cell types in liver cancers. Our work suggests future research on developing liver cancer subtypes therapies could target these cell types and associated molecular markers.

genomics↗

An investigation into the spatiotemporal patterns of the Nymphalid butterfly Vagrans egista sinha (Kollar, )

Vagrans egista sinha (Kollar, [1844]), the Himalayan Vagrant is a subspecies of Nymphalid (Brush-footed) butterflies spread across Asia, whose western limit is in the north-west India. Observations of this subspecies have considerably increased over the past half-a-decade, with a spike in new sightings to the west of their previously known range. This has been considered as a range extension. The current study reports new records of this species from Bilaspur District, Himachal Pradesh, India (which are the first records for the district), through systematic and opportunistic sampling. This raises the question of whether the purported range extension towards the west could instead be a range shift or vagrancy, and whether there is any shift in elevational ranges in the populations across their known range. Questions pertaining to spatial differences in elevational ranges and seasonal variation, across their range, also piqued our curiosity. Using data from academic sources (such as published literature and museum collections), supplemented by data from public participation in scientific research and personal observations, these research questions are addressed. The accuracy of results when using citizen science data is also explored using the same dataset, focused on the impact of method of extraction of coordinates, and elevation derived from it under different scenarios. It was discovered that there has not been a range shift (either longitudinal or latitudinal) and observations dont suggest vagrancy but a case of range extension. Other results indicated that there was no climb of population to higher elevations, no spatial differences in elevational ranges in the populations, or seasonal variation in activities across their range. It was also discovered that the method of data collection by, and extraction from, citizen science databases, can influence the accuracy of the results. Some problems involved in collecting data are discussed, and remedial solutions are suggested.

ecology↗

B.1.617.3 SARS CoV-2 spike E156G/Δ157-158 mutations contribute to reduced neutralization sensitivity and increased infectivity

SARS CoV-2 variants raise significant concerns due to their ability to cause vaccine breakthrough infections. Here, we sequence-characterized the spike gene, isolated from a breakthrough infection, that corresponded to B.1.617.3 lineage. Delineating the functional impact of spike mutations using reporter pseudoviruses (PV) revealed that N-terminal domain (NTD)-specific E156G/{Delta}157-158 contributed to increased infectivity and reduced sensitivity to ChAdOx1 nCoV-19 vaccine (Covishield)-elicited neutralizing antibodies. A six-nucleotide deletion (467-472) in the spike coding region introduced this change in the NTD. We confirmed the presence of E156G/{Delta}157-158 in the RT-PCR-positive cases concurrently screened, in addition to other circulating spike (S1) mutations like T19R, T95I, L452R, E484Q, and D614G. Notably, E156G/{Delta}157-158 was present in more than 85% of the sequences reported from the USA, UK, and India in August 2021. The spike PV bearing combination of E156G/{Delta}157-158 and L452R further promoted infectivity and conferred immune evasion. Additionally, increased cell-to-cell fusion was observed when spike harbored E156G/{Delta}157-158, L452R, and E484Q, suggesting a combinatorial effect of these mutations. Notwithstanding, the plasma from a recovered individual robustly inhibited mutant spike PV, indicating the increased breadth of neutralization post-recovery. Our data highlights the importance of spike NTD-specific changes in determining infectivity and immune escape of variants.

microbiology↗

CaProDH2-mediated modulation of proline metabolism confers tolerance to Ascochyta in chickpea under drought

Drought and leaf blight caused by the fungus Ascochyta rabiei often co-occur in chickpea (Cicer arietinum)-producing areas. While the responses of chickpea to either drought or A. rabiei infection have been extensively studied, their combined effect on plant defense mechanisms is unknown. Fine modulation of stress-induced signaling pathways under combined stress is an important stress adaptation mechanism that warrants a better understanding. Here we show that drought facilitates resistance against A. rabiei infection in chickpea. The analysis of proline levels and gene expression profiling of its biosynthetic pathway under combined drought and A. rabiei infection revealed the gene encoding proline dehydrogenase (CaProDH2) as a strong candidate conferring resistance to A. rabiei infection. Transcript levels of CaProDH2, pyrroline-5-carboxylate (P5C) quantification, and measurement of mitochondrial reactive oxygen species (ROS) production showed that fine modulation of the proline-P5C cycle determines the observed resistance. In addition, CaProDH2-silenced plants lost basal resistance to A. rabiei infection induced by drought, while overexpression of the gene conferred higher resistance to the fungus. We suggest that the drought-induced accumulation of proline in the cytosol helps maintain cell turgor and raises mitochondrial P5C contents by a CaProDH2-mediated step, which results in ROS production that boosts plant defense responses and confers resistance to A. rabiei infection. Our findings indicate that manipulating the proline-P5C pathway may be a possible strategy for improving stress tolerance in plants suffering from combined drought and A. rabiei infection.

plant biology↗

MetaMutationalSigs: Comparison of mutational signature refitting results made easy

SummaryThe analysis of mutational signatures is becoming increasingly common in cancer genetics, with emerging implications in cancer evolution, classification, treatment decision and prognosis. Recently, several packages have been developed for mutational signature analysis, with each using different methodology and yielding significantly different results. Because of the nontrivial differences in tools refitting results, researchers may desire to survey and compare the available tools, in order to objectively evaluate the results for their specific research question, such as which mutational signatures are prevalent in different cancer types. There is a need for a software that can aggregate results from different refitting packages and present them in a user-friendly way to facilitate effective comparison of mutational signatures. Availability and implementationMetaMutationalSigs is implemented using R and python and is available for installation using Docker and available at: https://github.com/EESI/MetaMutationalSigs ContactGail Rosen (glr26@drexel.edu). Supplementary informationMore information about the package including test data and results are available at https://github.com/EESI/MetaMutationalSigs

bioinformatics↗