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Mukhopadhyay, A.

Publications and source records attributed to Mukhopadhyay, A..

At least 19 recordsLinked to original sources

Non-canonical alternate interactors of SARS CoV-2 Spike protein implicated in placental susceptibilty

Vertical transmission of SARS-CoV-2 is controversial. Owing to the low expression of ACE2 along with TMPRSS2 in placenta, role of secondary receptors becomes significant. In our study we predicted twelve interactors of spike protein expressed in placenta through interactome analysis followed by docking and molecular dynamic simulation. Three interactors of SARS-CoV-2 spike protein were found to be CD147, EGFR and LDLR. Expression at transcriptomic and translational level by real-time PCR and immunohistochemistry respectively was observed in placenta samples obtained from women with COVID exposure risk and compared to control. Elevated protein levels of CD147 (OR=14.667), ACE2 (OR=8.25) and LDLR (OR=1.9) was associated with higher exposure risk. However, the variation in mRNA expression was not statistically significant. Computational study showed that CD147/basigin, EGFR and LDLR stably interact with spike protein outside its primary receptor binding domain. In-vitro binding assay confirmed the physical interaction between spike protein and the placental receptors. In-silico site-directed mutagenesis further identified key potential binding hotspots of spike protein- Tyr28 and Trp64 for CD147, Phe643, Val642, Thr632 for LDLR and Leu8, Phe59, Phe32, Tyr28, Trp64, Trwp152, His245, and Val213 for EGFR. Finally, concluded that CD147, EGFR and LDLR might act as secondary non-canonical cofactors for SARS-CoV-2 spike protein in placenta, thereby increasing its susceptibility and tissue tropism. The study overall gives a better insight into potential placental suscpetibility providing targeted therapeutic opportunities.

microbiology↗

Characterization of Single Ribosomes and Virus Particles with Large-Diameter Perfringolysin O Nanopores

Existing biological nanopores are often too narrow to accommodate large proteins and biomolecular complexes in their native folded states, precluding the analysis of megadalton assemblies. Here, we report the self-assembly of the cholesterol-dependent cytolysin Perfringolysin O (PFO) into stable transmembrane nanopores composed of 46 {+/-} 9 monomers, with an inner pore diameter of 28.5 {+/-} 5.6 nm and a length of 9.8 nm. We demonstrate that despite the large size of the pore assembly, PFO pores exhibit a stable open-pore current with a high signal-to-noise ratio, making them suitable for resistive-pulse recordings. Moreover, PFO nanopores enable accurate, calibration-free, and label-free sizing of individual proteins, multi-protein complexes, and viral particles across a large molecular-weight range spanning 50 kDa to 3.4 MDa. The exceptionally large diameter of these pores enables, for the first time, resistive-pulse-based characterization of intact virus particles and ribosomes with a biological nanopore. Specifically, we determined the volume, shape, and diameter of complete capsids of recombinant adeno-associated virus serotype 2 (rAAV2) as well as capsid fragments. Finally, simultaneous analysis of molecular volume and shape resolved intact 70S ribosomes from their dissociated 30S and 50S subunits in a mixture. By extending biological nanopore sensing to single-particle characterization of large protein complexes well beyond the reach of existing pores, this approach introduces PFO nanopores as a versatile platform for label-free, single-particle analysis in solution.

biophysics↗

Implication of a rare variant in OPA1 in Cardiac Pathophysiology: From Cristae Remodelling to Contractile Dysfunction

Abstract Optic Atrophy 1 (OPA1), an important inner mitochondrial membrane GTPase, regulates mitochondrial fusion, maintains cristae structure, calcium buffering, cellular bioenergetics, preserves mtDNA and controls apoptosis. Here we examined the role of OPA1 variants in DCM using whole-exome sequencing (WES) of 5 familial and 10 sporadic DCM cases. A rare de novo OPA1 variant, c.563C>T (p.Pro188Leu), was identified in a DCM patient, which is absent in 100 healthy controls as well as in the 1000 Genomes, IndiGenomes and GenomeAsia 100k databases while it showed very low MAF (0.000069) in GnomAD. Structural modelling predicted the variant to be highly deleterious and revealed marked conformational distortion of the mutant protein (RMSD = 3.5 Angstrom). Molecular docking further demonstrated enhanced accessibility of mutant OPA1 to mitochondrial protease OMA1, suggesting increased OPA1 proteolytic processing and a consequent increase in mitochondrial fragmentation. Functional analysis in stable H9C2 cardiomyoblast cells, demonstrated significantly reduced OPA1 protein expression, extensive mitochondrial fragmentation in mutant-OPA1 expressing cells. The mutant protein caused significant reduction in mitochondrial membrane potential, ATP generation, and oxygen consumption rate (OCR), together with elevated cytosolic Calcium and reactive oxygen species (ROS) levels. qRT-PCR analysis further revealed depletion in mtDNA copy number and increased in expression of intrinsic apoptotic markers Caspase3, 9 and Bax/Bcl-2 ratio. The above findings collectively highlighted the significant impact of the OPA1 mutation on mitochondrial dynamics and cellular health, suggesting a significant correlation with the pathogenesis of DCM. Collectively, these findings suggest that OPA1-mediated mitochondrial dysfunction represents a potential therapeutic avenue for the management of DCM.

genetics↗

Adaptive laboratory evolution rewires Pseudomonas putida for resource-efficient acetate assimilation

Acetate is an attractive renewable two-carbon substrate for microbial biotechnology, but its toxicity limits growth and carbon-use efficiency at process-relevant concentrations. Here, we used adaptive laboratory evolution to improve acetate tolerance in a genome-reduced strain of Pseudomonas putida and combined whole-genome sequencing, reverse engineering, transcriptomics, proteomics, and 13C-acetate fluxomics to resolve the underlying adaptation mechanisms. Evolution under increasing acetate concentrations selected recurrent mutations in gacA and fabB, which encode a global response regulator and a fatty acid biosynthesis enzyme, respectively. Reverse engineering of these mutations recovered most of the evolved phenotype, including shorter lag phase and substantially higher biomass yield from acetate. Multi-omic analyses showed repression of type VI secretion systems, carbohydrate storage functions, fatty acid metabolism, and oxidative stress-associated proteins, indicating resource reallocation away from costly stress and non-essential programs. Fluxomics further revealed reduced EDEMP cycling and increased glyoxylate shunt flux, consistent with improved acetate-carbon retention in biomass. These results establish acetate tolerance in P. putida as a resource-efficiency phenotype and identify gacA and fabB as actionable targets for acetate-based bioproduction.

synthetic biology↗

Lupeol, a bioactive compound of tamarind, functions as a potent inhibitor of hepatitis C virus (HCV) entry through disruption of the E2-CD81 interaction.

Hepatitis C virus (HCV) infection remains a major global health challenge despite the success of direct-acting antivirals (DAAs), which are limited by high cost, restricted accessibility, and the emergence of resistant strains. Natural products, particularly phytochemicals, represent a promising reservoir of antiviral agents with diverse mechanisms of action and favorable safety profiles. In this study, we combined wet-lab experimentation with computational approaches to identify plant-derived molecules capable of inhibiting HCV entry. Guided by ethnobotanical evidence, methanolic leaf extracts of Psidium guajava L., Plumeria alba L., Syzygium cumini L., and Tamarindus indica L. were prepared and evaluated for cytotoxicity in Huh7 hepatoma cells. Entry inhibition was assessed using EGFP-labelled HCV pseudoparticles (HCVpp) by qRT-PCR and confocal microscopy. Among the tested plants, Tamarindus indica extract significantly reduced KGFP expression (p < 0.05), confirmed by {Delta}{Delta}Cq analysis and impaired membrane fusion events, while Psidium guajava and Plumeria alba impaired intracellular trafficking without blocking initial attachment. Syzygium cumini showed no inhibitory effect under the tested conditions. Complementary in silico analyses included homology modelling, molecular docking, ADME/toxicity profiling, and molecular dynamics simulations of HCV E2-ligand complexes. Literature mining identified 39 candidate compounds, among which lupeol exhibited stable binding interactions with HCV E2 and favorable pharmacokinetic properties. Critically, in vitro binding assays confirmed that lupeol disrupted the E2-CD81 interaction, reducing bound E2-EGFP to 6% compared to controls. This was supported by HCV-pseudoparticle entry assays confirming inhibition of entry. Together, these findings establish Tamarindus indica and lupeol as potent HCV entry inhibitors.

microbiology↗

Hyperbolic Brain Modelling and Neurocognitive Decline Analysis for Disease Detection

Mapping hierarchical brain networks within traditional Euclidean space causes significant structural distortion, undermining neuroimaging diagnostic frameworks. While hyperbolic models like the Poincare ball preserve these nested topologies, they demand heavy computational overhead due to intricate Mobius operations and curved geodesics. This paper introduces a highly efficient non-Euclidean framework for analyzing neurocognitive decline utilizing the Beltrami-Klein ball model. By projecting hyperbolic geodesics as Euclidean straight lines, this approach converts complex distance calculations into simple dot products, radically reducing processing demands. We validated our methodology against state-of-the-art Poincare and Lorentz baselines using datasets for Schizophrenia, Parkinsons Disease, and Alzheimers Disease. The Klein-based framework demonstrates superior performance, delivering both higher diagnostic precision and accelerated processing velocities across all three neurocognitive disorders.

neuroscience↗

Mapping Genome-wide Transcription Factor Binding Sites in two Rhodanobacter strains Isolated from Extreme Environments

Identification of target genes for bacterial transcription factors (TFs) provide a deeper understanding of bacterial response to environmental conditions. We focused on two Rhodanobacter sp. isolates from the subsurface of the U.S. Department of Energy Oak Ridge Reservation (ORR), an environment characterized by high-concentration mixed-waste contamination plumes. Bacterial strains in this subsurface ecosystem experience changing and complex environmental conditions, including variable nutrient and oxygen availability, fluctuating pH, nitrate and metals. We examined 91 DNA-binding TFs from 17 TF families in two Rhodanobacter strains, R. denitrificans FW104-10B01 and R. thiooxydans FW510-R12, using both DNA affinity purification sequencing (DAP-seq) and comparative genomics. Target genes regulated by 31 TFs were identified. Despite being isolated from different wells, the two strains shared a highly similar core regulatory network, with orthologous TFs regulating nearly identical sets of genes. These conserved networks governed essential survival functions, including nutrient uptake (e.g., phosphate), carbohydrate metabolism, motility, and stress responses to heavy metals and oxidative environment. TF-binding sequence motifs were also inferred for each of the 31 TFs. Key results include the elucidation of a global regulator Clp which regulates a large number of genes, particularly those involved in biofilm formation and motility. Functional validation through RT-qPCR confirmed that Clp activates the expression of genes critical for type IV pilin structure and flagellar regulation. Our work highlights the advantages of synergistically employing DAP-seq and comparative genomics, which enabled us to corroborate findings and obtain a larger view of the regulatory landscape of these non-model denitrifying bacteria.

microbiology↗

Functional Genomics Reveals TNT Bioremediation Strategies in Pantoea sp. MT58 and Pseudomonas putida KT2440

2,4,6-Trinitrotoluene (TNT) is a recalcitrant and pervasive environmental pollutant. Although different environmental microbes have demonstrated their ability to degrade or transform TNT, the underlying genetic basis and cellular machinery remain unclear. In this study, we investigated bacterial strategies in response to TNT exposure in Pantoea sp. MT58 and P. putida KT2440 using proteomics and random barcode transposon-site sequencing (RB-TnSeq). Pantoea sp. MT58 was found to utilize TNT as a sole nitrogen source, whereas P. putida KT2440 exhibited only stress tolerance without assimilation. Pantoea sp. MT58 encodes multiple putative nitroreductases that were upregulated, yet deletion of these genes did not affect growth on TNT, revealing pathway redundancy. Furthermore, fitness profiling provided no evidence for genes involved in the canonical Meisenheimer-complex pathway associated with nitrite release. Instead, the data are most consistent with a sequential nitro-group reduction route in which nitrogen is ultimately recovered as ammonium, with nitrogen routed through the GS-GOGAT pathway with purine and urea pools as the candidate buffering architecture for TNT mineralization. Conversely, P. putida KT2440 relied on Ttg/RND efflux pumps and toluene tolerance proteins for survival without nitrogen assimilation from TNT. This work distinguishes routes for productive nitrogen assimilation from those involved in nitroaromatic tolerance, expanding the mechanistic understanding of anthropogenic compound metabolism to inform future bioremediation efforts.

microbiology↗

Simultaneous optimization of lignocellulosic sugar catabolism via systematic laboratory evolution in dynamic conditions

Efficient co-utilization of hexose and pentose sugars from lignocellulose is essential for microbial production of bio-based chemicals, yet engineered non-native catabolic pathways can be suboptimal and evolutionarily unstable in complex resource environments. We used a Pseudomonas putida strain, previously engineered to catabolize xylose and arabinose to examine how resource abundance, temporal availability, and sub-culturing criteria shape evolutionary outcomes. Using an automated adaptive laboratory evolution (ALE) platform, we evolved the strain under static conditions with single selection pressures and dynamic regimes that imposed selection pressures on multiple sugars. These environments drove divergence between catabolic specialists and generalists. While selection regimes with weak or absent selection for xylose frequently resulted in loss of xylose catabolism, evolution under carbon-limited, mixed-sugar environments promoted stable retention and coordinated optimization of multiple catabolic pathways, increasing total sugar consumption in mixed-sugar conditions. Genomic, proteomic, and biochemical analyses showed that evolutionary stability was determined by pathway-specific fitness costs, leading to either pathway loss or cost-reducing refinement, depending on selection strength. An isolated generalist clone also exhibited improved indigoidine production from mixed sugars when compared to the parental strain. Together, these findings link resource dynamics to fitness landscapes that determine catabolic specialization, generalization, evolutionary trade-offs, and applicability to bioconversion.

bioengineering↗

RB-TnSeq analysis reveals alcohol and salt tolerance systems in a plant root colonizer Paraburkholderia graminis OAS925

The role of microbial strains in regulating natural stresses and their impact on plant health is well-established. However, the role of microbial tolerance mechanisms in plant response to unnatural or anthropogenic stresses is less understood. Examination of these interactions impact our deeper understanding of plant-microbe interactions and our ability to enhance beneficial functions. In this study we use the model plant Brachypodium distachyon and its prominent root colonizer Paraburkholderia graminis OAS925 to investigate mechanisms of tolerance to alcohol and salt stress. We examined the ability of OAS925 to reduce root growth inhibition during exposure to short chain alcohols and salt. We also examined the tolerance mechanism for OAS925 towards these stresses using RB-TnSeq fitness assays. The most prominent tolerance systems in OAS925 are genes specifically involved in membrane transport (such as the Mla operon), efflux systems (e.g., RND efflux systems), signaling and regulation (PrtR/PrtI, NtrY/NtrX, and EnvZ/OmpR), and oxidative stress response (GshB). Our findings provide a model where bacterial membrane integrity, active solvent efflux, and stress signaling are crucial not only for bacterial survival but also for maintaining the root colonization and biofilm formation that confer protection to the host plant.

microbiology↗

DAF-16/FOXO maintains genome integrity following genotoxic stress

Preserving genomic integrity is crucial for the accurate transmission of genetic information across generations, as well as for preventing precocious ageing. The DNA Damage Response (DDR) safeguards the genome from genotoxic stress through a coordinated system of sensors, relay proteins, and repair mechanisms. Since DNA repair is an energy-intensive activity, the process is tightly regulated and coordinated with various metabolic pathways. The nutrient-sensing insulin/IGF signalling (IIS) pathway has been extensively studied for its role in ageing and lifespan regulation in C. elegans through its downstream FOXO transcription factor DAF-16. However, there is limited understanding of its involvement in maintaining genomic integrity through the regulation of the DDR. In this study, we demonstrate the role of DAF-16/FOXO in preserving genome integrity by activating the expression of DDR repair genes in C. elegans. Activated DAF-16/FOXO directly binds to the promoter of DDR genes under conditions of low IIS, ensuring that their expression is maintained at a higher level, which is crucial for prompt DNA damage repair. Interestingly, we find that DAF-16 functions both cell autonomously as well as non-autonomously to support DNA integrity. We also determine that the DAF-16(d/f) isoform, but not the DAF-16(a) isoform, is essential for maintaining germline genome integrity. Furthermore, DAF-16 activation enhances the DDR primarily through the canonical DDR components and, to a lesser extent, via apoptosis-mediated clearance of damaged cells. Overall, our study highlights a new role for DAF-16/FOXO in the DDR and the preservation of genome integrity.

cell biology↗

Identification and functional characterization of LDB3 gene variants in DCM patients from Indian Population

The LIM domain-binding protein 3 (LDB3), also known as Z-band alternatively spliced protein (ZASP), is a key component of the Z-disc, essential for maintaining sarcomeric integrity and transmitting contractile force in cardiomyocytes. Genetic variants in LDB3 have been implicated in cardiomyopathies, including dilated cardiomyopathy (DCM). In this study, we have screened 100 idiopathic DCM cases along with controls by Sanger sequencing and identified nine non-synonymous (p.S184I, p.D193N, p.K204R, p.R229C, p.P295T, p.Q402P, p.F465I, p.F496L, p.P606S), seven synonymous (p.T91=, p.A152=, p.D168=, p.S182=, p.A279=, p.S347=, p.A358=), and seven intronic (c.322-50G>C, c.548+53A>C, c.718+47G>C, c.718+81G>A, c.755+11G>A, c.755+86G>A, c.*30C>G) variants, among which six (p.S184I, p.D193N, p.P295T, p.F465I, p.F496L, p.P606S) missense variants were novel. In-vitro studies demonstrated that p.K204R increased LDB3 expression whereas p.S184I, p.F465I, p.F496L, p.P606S reduced LDB3 expression. Immunostainning revealed cytoplasmic aggregation of the p.K204R-LDB3 protein. The variant p.R229C also over-expressed the mutant protein. In case of variant, p.P295T, Z-disc was severely disrupted indicating impaired Z-disc integrity. Furthermore, synonymous variants showed altered mRNA folding, stability, and codon usage bias, potentially affecting translation efficiency. In-silico analyses predicted p.F465I, p.F496L, p.P606S, and p.S184I variants to be deleterious, significantly altering protein structure. Structural modeling using AlphaFold2 showed high RMSD values, suggesting conformational destabilization. Collectively, these findings highlight LDB3 as a hypermutable candidate gene for DCM in our cohort that may contribute to DCM pathogenesis by perturbing protein structure, expression, and cellular localization, underscoring the critical role of LDB3 in cardiac muscle function and disease.

genetics↗

Engineered lignin composition in Brachypodium distachyon modulates the root-associated microbiome

Lignin is a key component of the plant cell wall and a barrier to microbial interaction and biomass digestibility. While lignin biosynthesis has been engineered in grasses to reduce recalcitrance for agroindustrial applications, the consequences for root-associated microbial communities remain poorly understood. Here, we show in the model grass species Brachypodium distachyon that genetic modification of lignin biosynthetic genes, particularly caffeic acid O-methyltransferase (COMT), alters root lignin syringyl/guaiacyl (S/G) ratios, root exudate composition, and significantly reshapes the rhizosphere microbiome. Using a synthetic microbial community (SYNCOM) in controlled fabricated ecosystem (EcoFAB) environments, we observed a distinct reduction in Burkholderia colonization and enrichment of Rhodococcus in COMT mutant lines. LC-MS/MS profiling of root exudates revealed increased p-coumaric acid, caffeic acid and hydroxycinnamic acid amides in these lines, potentially linked to both metabolic remodeling and plant stress responses. These findings demonstrate that altering lignin composition can have profound, genotype-specific impacts on rhizosphere microbiome assembly, with implications for plant-microbe interactions, nutrient cycling, and biomass conversion strategies in bioenergy crops.

plant biology↗

RICTOR regulates an interspecies crosstalk that influences longevity through a novel methionine cycle-mitophagy axis

Adaptive modulation of physiological traits in response to environmental variability, particularly dietary fluctuations, is essential for organismal fitness. Such adaptability is governed by complex gene-diet interactions, yet the molecular circuits integrating microbe-derived metabolites with host metabolic and stress response pathways remain less explored. Here, we identify the conserved mechanistic target of rapamycin complex 2 (mTORC2) component, RICTOR, as a critical regulator of dietary plasticity in Caenorhabditis elegans, specifically in response to bacterially derived vitamin B12 (B12). Loss of rict-1, the C. elegans ortholog of RICTOR, confers enhanced osmotic stress tolerance and longevity on B12-rich bacterial diets. These phenotypic adaptations require two B12-dependent enzymes: methionine synthase (METR-1), functioning in the folate-methionine cycle (Met-C), and methylmalonyl-CoA mutase (MMCM-1), a mitochondrial enzyme essential for propionate catabolism. The latter catalyzes the formation of succinyl-CoA, subsequently converted to succinate via the tricarboxylic acid (TCA) cycle. Elevated succinate levels were found to induce mitochondrial fragmentation, thereby activating mitophagy, an autophagic process indispensable for the increased stress resilience and longevity observed in the rict-1 mutants. Crucially, this Met-C-mitophagy axis is modulated by microbial inputs, with B12 and methionine acting as proximal dietary signals. Our findings delineate a mechanistic framework through which RICTOR restrains host sensitivity to microbial-derived metabolites, thus maintaining mitochondrial homeostasis and regulating lifespan. This work reveals a pivotal role for RICTOR in insulating host physiology from environmental nutrient-driven perturbations by modulating organellar quality control pathways.

cell biology↗

Differences in GenBank and RefSeq annotations may affect genomics data interpretation for Pseudomonas putida KT2440

Annotations of genomic features are cornerstone data that support routine workflows in conventional omics analyses in Pseudomonas putida KT2440 and other organisms. The GenBank and the RefSeq versions of the annotated KT2440 genome are two popular resources widely cited in the literature; yet, they originate from distinct prediction pipelines and possess potentially different biological information that is often overlooked. In this study, we systematically compared the features present in these resources and found that approximately 16% of the total of KT2440 ORFs show differences in their predicted genomic positions across GenBank and RefSeq, despite sharing equivalent locus tag codes. Furthermore, we show that these discrepancies can affect the results of high-throughput analyses by processing a collection of RNAseq expression datasets utilizing both annotations. Our findings provide a comprehensive overview of the current state of available resources for genomics research in P. putida KT2440 and highlight a rarely addressed yet widespread potential pitfall in the literature on this organism, with possible implications for other prokaryotes. ImportanceGenome annotation databases often rely on different statistical models for their function predictions and inherently carry biases propagated into studies using them. This work provides a quantitative assessment of two popular annotation resources for the model bacterium P. putida KT2440 and their influence on data interpretation. As large-scale omics datasets are commonly used to inform experimental decisions, our results aim to promote awareness of the caveats associated with these computational resources and foster reproducibility and transparency in P. putida research.

bioinformatics↗

Novel origin of replication for environmentally isolated Pantoea strain enables expression of heterologous proteins, pathways and products

Plasmids isolated or characterized from environmental samples serve as a resource that can be used to develop genetic tools for characterizing recently isolated or less-studied microbes. In this report, we leveraged sequences from a previously characterized groundwater plasmidome and developed a screen to identify novel plasmid origins. Putative origin sequences were used to construct a barcoded plasmid library, which contained both known and newly predicted origins. This library was tested against a panel of representative bacterial strains and led to the identification of 3 novel origins that putatively replicate in gram-negative bacteria not previously associated with these origin sequences. We empirically validated one of the newly identified origins, 6911, to be functional in both the model bacterial strain, Escherichia coli BW25113, as well as in Pantoea sp. MT58, a fast growing and metal tolerant, environmentally important bacterium from the widespread Pantoea genus. We confirmed that a plasmid bearing origin 6911 as the sole origin could replicate and had a copy number of 9 ({+/-} 2) in Pantoea sp. MT58. We successfully used a plasmid based on the new origin to express the reporter protein GFP, and two non-native metabolite pathways for the natural product, indigoidine and the terpenoid compound, isoprenol. By pairing functional novel origins of replication to non-model organisms this pipeline can expand the tool kit for genetic manipulations of both model and less-studied bacteria. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=56 SRC="FIGDIR/small/653210v1_ufig1.gif" ALT="Figure 1"> View larger version (16K): org.highwire.dtl.DTLVardef@45689corg.highwire.dtl.DTLVardef@d6daeeorg.highwire.dtl.DTLVardef@1bf4d06org.highwire.dtl.DTLVardef@59ccfd_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOAbstract figure.C_FLOATNO We developed a host-origin pair identification pipeline by constructing a plasmid library containing both literature-sourced and computationally predicted origins of replication. By conjugating this library into non-model microbes, we identified functional origins in diverse bacteria, and could leverage these findings to develop genetically tractable hosts for microbial engineering. C_FIG

microbiology↗

Predictive genome-wide CRISPR-mediated gene downregulation for enhanced bioproduction

CRISPR interference (CRISPRi) has emerged as a valuable tool for redirecting metabolic flux to enhance bioproduction. However, conventional approaches for identifying target genes for CRISPRi-mediated downregulation have largely relied on heuristic methods and trial and error, which are labor-intensive and time-consuming. Additionally, the ability to achieve multigene knockdowns is limited by the constraints of molecular cloning techniques required for building multiplexed CRISPRi systems. In this study, we describe two novel methodologies FluxRETAP (Flux-REaction TArget Prioritization, a Genome-Scale Modeling Technique) and VAMMPIRE (a Versatile Assembly Method for MultiPlexing CRISPRi-mediated downREgulation). FluxRETAP accurately identified gene targets whose knockdown led to substantial increase of isoprenol titers, outperforming traditional heuristic selection. The use of VAMMPIRE enabled accurate and position-independent assembly of CRISPRi constructs containing up to five sgRNA arrays. The integration of FluxRETAP and VAMMPIRE has the potential to advance metabolic engineering by rapidly identifying CRISPRi-mediated knockdowns and knockdown combinations that enhance bioproduction titers, with potential applicability to other microbial systems.

synthetic biology↗

In vitro and in vivo synergy of Vancomycin and β-lactams against drug-resistant Mycobacterium tuberculosis and Non-tuberculous mycobacteria

The unabated increase in antimicrobial resistance has underlined the importance of identifying novel drug combinations which eliminate infections more potently and likely reduce the emergence of resistance. In this context, we have identified Vancomycin and many {beta}-lactams as being potently active against drug-resistant Mycobacterium tuberculosis and non-tuberculous mycobacteria including M. abscessus, emerging as pathogens of concern owing to their inherent drug resistance profile. In this study, we have identified combinations of Vancomycin, a glycopeptide and {beta}-lactams, especially Ceftriaxone, Ceftazidime and Meropenem, in the presence or absence of Sulbactam, a {beta}- lactamase inhibitor, as possessing potent antimicrobial activity against several drug-resistant mycobacterial strains. The combination of Vancomycin and {beta}-lactams exhibited potent bactericidal activity and reduced the bacterial load better than either drug alone. The molecular basis of synergy was mediated by increase in permeability of mycobacterial cell as demonstrated by ethidium bromide assay. In the murine model of mycobacterial infection, synergistic combination of Vancomycin and {beta}-lactams outperformed clinically utilized drugs including Isoniazid, Rifampicin and Ethambutol against M. tuberculosis and Amikacin, Clarithromycin against M. abscessus. The combinations caused a significant reduction in bacterial load in various organs in M. tuberculosis and M. abscessus infected mice. Thus, the synergistic combination of Vancomycin and {beta}-lactams could potentially be utilized for treatment of recalcitrant mycobacterial infection especially those caused due to drug-resistant pathogens.

microbiology↗