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Biology subjects

Mandal, S.

Publications and source records attributed to Mandal, S..

At least 37 records · Page 2Linked to original sources

AT vs. GC binding of protamine-template: A microscopic understanding through molecular dynamics and binding free energies

Protamine, an arginine-rich protein, compacts DNA more tightly than histones in somatic cells, yet its sequence-specific binding remains unclear. Using all-atom MD simulations with an arginine-rich short cationic peptide that mimics the protamine characteristics, we discovered distinct sequence preferences: the peptide binds preferentially to GC-rich sequences in the major groove and AT-rich sequences in the minor groove. Our structural analysis reveals that GC-rich binding induces significant DNA bending, narrowing the major groove and enhancing peptide interactions. In contrast, AT-rich minor grooves are more extended and electronegative, allowing better stereochemical fitting with planar and aromatic guanidinium side groups of arginine. However, thymines methyl group hinders major groove binding, favoring guanine. Thermodynamic free energy calculations, including MMGBSA, Jarzynskis Equality, and Umbrella Sampling, confirm stronger peptide affinity for AT-rich motifs in the minor groove and GC-rich motifs in the major groove. Overall, this study will contribute to enhancing our understanding of DNA condensation and compaction in sperm cells based on protamines sequence-specific interactions.

biophysics↗

A unifying model for microRNA-guided silencing of messenger RNAs

Silencing by the miRNA-guided RNA induced silencing complex (miRISC) is dependent on Ago2-chaperoned base pairing between the miRNA 5' seed (5'S) and a complementary sequence in the 3' untranslated region of an mRNA. Prevailing mechanistic understanding posits that initial 5'S pairing can further allow functional base pair expansion into the 3' non-seed (3'NS), while functionally distinct non-canonical pairing was reported between only the 3'NS and the mRNA coding sequence. We developed single-molecule kinetics through equilibrium Poisson sampling (SiMKEPS) to measure highly precise binding and dissociation rate constants of varying-length target sequences to 5'S and 3'NS in a paradigmatic miRISC isolated from human cells, revealing distinct stable states of miRISC with mutually exclusive 5'S and 3'NS pairing. Our data suggest conformational rearrangements of the Ago2-bound miRNA that regulate alternative 5'S-and 3'NS-driven target recognition. The resulting model reconciles previously disparate observations and deepens our acumen for successfully marshaling RNA silencing therapies. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=166 SRC="FIGDIR/small/643529v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@1e92bb5org.highwire.dtl.DTLVardef@1348249org.highwire.dtl.DTLVardef@559fdborg.highwire.dtl.DTLVardef@1721b74_HPS_FORMAT_FIGEXP M_FIG C_FIG In brief: In this study, Chatterjee et al. developed a technique to characterize and identify multiple conformations of the RNA-induced silencing complex (RISC) present in human cells. Two distinct pathways of target recognition through different RISC conformations reconcile previously observed divergent findings on the microRNA (miRNA) binding mechanism to messenger RNA (mRNA). HighlightsO_LISiMKEPS is developed to precisely measure binding and dissociation of miRISC:mRNA C_LIO_LISingle human miRISC molecules exhibit mutually exclusive seed and non-seed pairing C_LIO_LISiMKEPS unveils conformational changes of single miRNAs bound to Ago2 C_LIO_LIResulting model reconciles previously divergent findings, supporting RNAi therapies C_LI

biophysics↗

Chromato-kinetic fingerprinting enables multiomic digital counting of single disease biomarker molecules

Early and personalized intervention in complex diseases requires robust molecular diagnostics, yet the simultaneous detection of diverse biomarkers--microRNAs (miRNAs), mutant DNAs, and proteins--remains challenging due to low abundance and preprocessing incompatibilities. We present Biomarker Single-molecule Chromato-kinetic multi-Omics Profiling and Enumeration (Bio-SCOPE), a next-generation, triple-modality, multiplexed detection platform that integrates both chromatic and kinetic fingerprinting for molecular profiling through digital encoding. Bio-SCOPE achieves femtomolar sensitivity, single-base mismatch specificity, and minimal matrix interference, enabling precise, parallel quantification of up to six biomarkers in a single sample with single-molecule resolution. We demonstrate its versatility in accurately detecting low-abundance miRNA signatures from human tissues, identifying upregulated miRNAs in the plasma of prostate cancer patients, and measuring elevated interleukin-6 (IL-6) and hsa-miR-21 levels in cytokine release syndrome patients. By seamlessly integrating multiomic biomarker panels on a unified, high-precision platform, Bio-SCOPE provides a transformative tool for molecular diagnostics and precision medicine.

biophysics↗

Design and synthesis of triazine-based hydrogel for combined targeted doxorubicin delivery and PI3Kinhibition

Melanoma, an aggressive skin cancer originating from melanocytes, presents substantial challenges due to its high metastatic potential and resistance to conventional therapies. Hydrogels, three-dimensional networks of hydrophilic polymers with high water-retention capacities, offer significant promise for controlled drug delivery applications. In this study, we report the synthesis and characterization of hydrogelators based on the triazine molecular scaffold, which self-assemble into fibrous networks conducive to hydrogel formation. Rheological analysis confirmed their hydrogelation properties, while microscopic techniques including FE-SEM and FEG-TEM provided insights into their morphological networks. The drug delivery capability of these hydrogelators was evaluated using doxorubicin, a widely employed anticancer agent, demonstrating enhanced biocompatibility and reduced side effects compared to free doxorubicin. Additionally, the hydrogelators exhibited inhibitory activity against phosphoinositide 3-kinase (PI3K), a key enzyme frequently mutated in cancer, and also involved in melanoma progression. The dual functionality of this delivery system - controlled drug release and PI3K inhibition - highlights the potential of triazine-based hydrogelators as innovative therapeutic platforms for melanoma treatment.

cancer biology↗

Potassium ferric oxalate nanoparticles prevent human blood clotting and thrombosis in a mouse model

Blood clot creates occlusion in the veins and arteries, which leads to pernicious effects. Here, the anticoagulation properties of potassium ferric oxalate nanoparticles (KFeOx-NPs) in human blood were demonstrated for blood clot management. The mechanism involves the chelation of calcium ions from the blood by the oxalate present in the KFeOx-NPs. Various commercial assays were used to determine the clotting time for the KFeOx-NPs and identified the hindrance in activating factor XII in the intrinsic pathway. We used animal models to show toxicity and biodistribution profiles and determined the safety and efficacy. Intravenously injected KFeOx-NPs increased clotting time and thrombosis prevention in a mouse model confirmed by ultrasound and the power Doppler images. Coating catheters with KFeOx-NPs prevents clot formation with reduced protein attachment when incubated with blood, enhancing blood flow properties. In biological applications, KFeOx-NPs may improve the long-term prevention of blood clot formation and enhance the efficiency of medical devices. TOC O_FIG O_LINKSMALLFIG WIDTH=188 HEIGHT=200 SRC="FIGDIR/small/621820v1_ufig1.gif" ALT="Figure 1"> View larger version (68K): org.highwire.dtl.DTLVardef@1292afeorg.highwire.dtl.DTLVardef@1c5ba81org.highwire.dtl.DTLVardef@576f23org.highwire.dtl.DTLVardef@4186e9_HPS_FORMAT_FIGEXP M_FIG C_FIG PVP-stabilized novel potassium ferric oxalate nanoparticles were synthesized for the application of blood clot management and thrombosis prevention.

pathology↗

Can we predict sleep health based on brain features? A large-scale machine learning study

BackgroundsSeveral correlational or group comparison evidence highlighted robust associations between sleep health and macro-scale brain organization. However, inter-individual variability is critical in such interplay. Therefore, in this study, we aimed to investigate the role of brain imaging features in predicting diverse sleep health-related characteristics at the individual subject level using the Machine Learning (ML) approach. MethodsA sample of 28,088 participants from the UK Biobank was employed to calculate 4677 structural and functional neuroimaging markers. Then, we employed them to predict self-reported insomnia symptoms, sleep duration, easiness of getting up in the morning, chronotype, daily nap, daytime sleepiness, and snoring. To assess the predictability of brain features, we built seven different linear and nonlinear ML models for each sleep health-related characteristic. ResultsWe performed extensive ML analyses that involved more than 19 years of compute time. We observed relatively low performance in predicting all sleep health-related characteristics from brain images (e.g., balanced accuracy ranging between 0.50-0.59). Across all models, the best performance achieved was 0.59, using a linear ML model to predict the ease of getting up in the morning. In fact, a similar performance was achieved with models trained solely on age and sex, indicating that these demographic factors might be the ones driving the predictions. ConclusionsThe low capability of multimodal neuroimaging markers in predicting sleep health-related characteristics, even under extensive ML optimization in a large population sample, suggests a complex relationship between sleep health and brain organization.

neuroscience↗

Human pulmonary neuroendocrine cells respond to House dust mite extract with PAR-1 dependent release of CGRP

BackgroundPulmonary neuroendocrine cells (PNEC) are rare airway epithelial cells that have recently gained attention as potential amplifiers of allergic asthma. However, studying PNEC function in humans has been challenging due to a lack of cell isolation methods and little is known about human PNEC function in response to asthma relevant stimuli. Here we developed and characterized an in vitro human PNEC model and investigated the neuroendocrine response to extracts of the common aeroallergen house dust-mite. (HDM). MethodsPNEC enriched cultures were generated from human induced pluripotent stem cells (iPNEC) and primary bronchial epithelial cells (ePNEC). Characterized PNEC cultures were exposed to HDM extract, a volatile chemical odorant (Bergamot oil), or the bacterial membrane component, lipopolysaccharide (LPS) and neuroendocrine gene expression and neuropeptide release determined. ResultsBoth iPNEC and ePNEC models demonstrated similar baseline neuroendocrine characteristics and a stimuli specific modulation of gene expression. Most notably, exposure to HDM but not Bergamot oil or LPS, lead to dose dependent induction of the CGRP encoding gene, CALCB, and corresponding release of the neuropeptide. HDM induced CALCB expression and CGRP release could be inhibited by a protease activated receptor 1 (PAR1) antagonist or protease inhibitors and was mimicked by a PAR1 agonist. ConclusionsWe have characterized a novel model of PNEC enriched human airway epithelium and utilized this model to demonstrate a previously unrecognized role for human PNEC in mediating a direct neuroendocrine response to aeroallergen exposure and highlighting CGRP production by these cells as a potential therapeutic target in allergic asthma.

cell biology↗

Distance between miRNA responsive elements selectively enhances target specificity with reduced cellular toxicity by miRNA-mediated synergism

Despite the emergence of miRNAs as promising therapeutic tools in cancer management, most clinical trials have not been successful due to their cytotoxic effects. Here, we have investigated the factors regulating the effect of miRNA-mimic pairs in enhancing target gene specificity while reducing cellular toxicity. Synergistic reductions by the miRNA-mimic pairs were observed for the 3-UTRs of common target genes with miRNA-responsive elements (MREs) preferentially located at a distance of 200-800bp. Deletion of either of the miRNA seed sequences resulted in a loss of synergism. Furthermore, we performed small RNA-sequencing to identify significantly downregulated miRNAs in Oral cancer. Consequently, we transfected let-7c-5p and miR-125b-5p miRNA mimics either alone or in combination at half-dose concentrations and determined the expression levels of their common and unique target genes in oral cancer cells. Significant reductions in target gene expression were observed for genes containing MREs for both miRNA mimics within the preferential distance. Proteomic data revealed that the let-7c-5p and miR-125b-5p miRNA-mimic pairs synergistically reduced the expression of their common target genes, hexokinase 2 (HK2) and branched-chain amino acid transaminase 1 (BCAT1), in cancer cells. However, unique target genes did not exhibit any significant alterations in their protein levels. The effect of HK2 and BCAT1 downregulation was also reflected in the metabolomic profiling of cancer cells, specifically affecting glycolysis and the BCAA degradation pathways. As a result of the metabolic impairment caused by the synergistic effect of miRNA mimic pairs, oral cancer cells showed a significant reduction in proliferation, migration, and spheroid formation compared to cells treated with either single miRNA. The synergistic effect of these miRNA mimics was lost in normal keratinocytes, possibly due to low expression levels of the target oncogenes, suggesting a cancer cell-specific effect of this mechanism.

cancer biology↗

Carbon nanoparticle exposure strengthens water-relation parameters by stimulating abscisic acid pathway and aquaporins genes in rice

Mechanism of action and molecular basis of positive growth effects including yield increase due to carbon nanoparticle (CNP) treatment in rice plants is dissected here. CNP at 500 -750 {micro}g/mL were found to be the optimum dosages showing best seedling growth. CNP treatment resulted increase in stomata size, gaseous exchange and water use efficiency along with decrease in stomata frequency, relative humidity, internal CO2 concentration. CNP treatment exerted cold tolerance in seedlings and water stress tolerance in reproductive stage. CNP-coupled with water uptake was found to be endocytosis mediated, although CNP uptake was not affected by endocytosis inhibitor application in roots. Genomic analysis resulted major involvement of ABA pathway and stomata size and frequency genes in Arabidopsis and rice. Elevated endogenous ABA in rice seedlings and flag leaves along with increased expression of ABA biosynthetic genes in Arabidopsis and rice AtNCED3, AtNCED6, OsNCED1 confirmed increased ABA synthesis. Negative regulators of ABA pathway, OsSNRK2 down-regulation and up-regulation of stomagen (OsEPFL9) reconfirmed ABAs involvement. CNP treatment resulted water stress tolerance by maintaining lower stomatal conductance, transpiration rate and higher relative water content. Increased ABA (OsSNRK1, OsSNRK2) and aquaporin (OsPIP2-5) genes expressions could explain the better water stress tolerance in rice plants treated with CNP. Altogether, due to thermomorphogenesis, down-regulation of Phytochrome B resulted altered the ABA pathway and stomatal distribution with size. These changes resulted improved water relation parameters and WUE showing improvement in yield. Detailed mechanism of action of CNP in abiotic stress tolerance can be exploited in in nano-agriculture.

plant biology↗

Carbonized Tetracycline: a new class of nanomaterial with tuneable antioxidant, reduced cytotoxicity, immunomodulatory, and osteogenic properties

Tetracycline (TET), a broad-spectrum antibiotic, also possesses different non-antibiotic activities such as inhibition of metalloproteinase (MMP), anti-inflammatory, antioxidant, high bone affinity, etc. However, the comparatively low efficacy of these non-antibiotic properties along with adverse effects such as hyperpigmentation, phototoxicity, long-term skeletal retention, etc. have not helped their broad utilization similar to their use as an antibiotic. In a unique attempt to improve the non-antibiotic properties while reducing the adverse effects, we converted the TET to nano-carbons through partial carbonization. After sorting out two water-dispersible C-TETs (C-TETHT - hydrothermal and C-TETHP - hot plate) based on their improved antioxidant activity, they have been characterized through a host of analytical techniques that showed distinct differences in morphology, size, shape, and surface functionality. Excitingly, the C-TETHT and C-TETHP have shown differential biological activity in a dosage and time-dependent manner in terms of cytotoxicity, immunomodulation, and osteogenic activity that was found to be associated with their carbonized parameters. Overall, the carbonized nano-drugs, C-TETHT and C-TETHP have presented substantial early promises on their non-antibiotic properties that could be further explored to develop into some effective therapeutics.

bioengineering↗

Modelling termites tunnelling and decision-making behaviors

Termites digging and construction behavior plays an important role in understanding termites foraging and nesting strategies. Termites build galleries when they tunnel that building behavior is different from ants. Therefore, termite tunnelling behavior such as tunnelling networks (tunnel growth and branching), and direction-changing when generating new branches and encountering obstacles require more research. Measurement of termites tunnel growth in the experimental arena is often conducted manually by comparing photo sequences. Here, we observe the tunnelling behaviors of the small-sized desert subterranean termite (Heterotermes aureus) and the larger arid land subterranean termite (Reticulitermes tibialis) and develop a mathematical model to describe termites tunnelling behavior in the arena. The model can estimate the possible tunnel length with respect to termite body length over a certain time based on three data inputs. Another advantage of this model is that it takes only a few seconds to show results. The results of the model are verified numerically. A behavioral model based on a decision tree is also developed to investigate termites direction-changing mechanisms in tunnelling when generating branches and encountering obstacles. Thus, this study demonstrates methods to characterize and model termites tunnelling mechanism and direction-changing behavior, which might be applicable to other insects behavior and algorithm mimicking digging and tunneling behavior of ants.

evolutionary biology↗

WASP facilitates tumor mechanosensitivity in T lymphocytes

Cytotoxic T lymphocytes (CTLs) carry out immunosurveillance by scanning target cells of diverse physical properties for the presence of antigens. While the recognition of cognate antigen by the T cell receptor is the primary signal for CTL activation, it has become increasingly clear that the mechanical stiffness of target cells plays an important role in antigen-triggered T cell responses. However, the molecular machinery within CTLs that transduces the mechanical information of tumor cells remains unclear. We find that CTLs mechanosensitive ability requires the activity of the actin-organizing protein Wiskott-Aldrich Syndrome Protein (WASP). WASP activation is modulated by the mechanical properties of antigen-presenting contexts across a wide range of target cell stiffnesses and activated WASP then mediates mechanosensitive activation of early TCR signaling markers in the CTL. Our results provide a molecular link between antigen mechanosensing and CTL immune response and suggest that CTL-intrinsic cytoskeletal organizing principles enable the processing of mechanical information from diverse target cells.

immunology↗

Multi-modal transcriptomic analysis unravels enrichment of hybrid epithelial/mesenchymal state and enhanced phenotypic heterogeneity in basal breast cancer

Intra-tumoral phenotypic heterogeneity promotes tumor relapse and therapeutic resistance and remains an unsolved clinical challenge. It manifests along multiple phenotypic axes and decoding the interconnections among these different axes is crucial to understand its molecular origins and to develop novel therapeutic strategies to control it. Here, we use multi-modal transcriptomic data analysis - bulk, single-cell and spatial transcriptomics - from breast cancer cell lines and primary tumor samples, to identify associations between epithelial-mesenchymal transition (EMT) and luminal-basal plasticity - two key processes that enable heterogeneity. We show that luminal breast cancer strongly associates with an epithelial cell state, but basal breast cancer is associated with hybrid epithelial/mesenchymal phenotype(s) and higher phenotypic heterogeneity. These patterns were inherent in methylation profiles, suggesting an epigenetic crosstalk between EMT and lineage plasticity in breast cancer. Mathematical modelling of core underlying gene regulatory networks representative of the crosstalk between the luminal-basal and epithelial-mesenchymal axes recapitulate and thus elucidate mechanistic underpinnings of the observed associations from transcriptomic data. Our systems-based approach integrating multi-modal data analysis with mechanism-based modeling offers a predictive framework to characterize intra-tumor heterogeneity and to identify possible interventions to restrict it.

systems biology↗

Drug-bacterial membrane interactions: A Tale of two force fields

Tuberculosis (TB), caused by Mycobacterium tuberculosis (M.tb), a gram-positive bacteria, is known to infect and kill millions of people worldwide, specifically in poor and developing countries. M.tb has unique characteristics in terms of the presence of an extraordinarily thick cell wall structure, mainly composed of mycolic acid (MA) and arabinogalactan (AG). Between these components, mycolic acid is of particular interest because it exhibits extremely low permeability for most of the drug molecules, thus helping M.tb to survive against medical treatment. Hence, it is extremely useful to study the interactions between drug molecules and mycolic acids in order to better design potential TB medicine. On that premise, the present work aims to computationally model mycolic acid monolayer and probe its permeability against some first-line TB drugs, namely ethambutol, ethionamide, and isoniazid. It is a known fact that such modelling strongly depends on the interaction parameters used. The current study addresses this issue by employing two widely used force fields-GROMOS 54A7-ATB (hereafter GROMOS) united atom force fields and CHARMM36 (hereafter CHARMM) all-atom force fields to collate the drug-mycolic acid interplay. Our findings indicate that both force fields provide consistent results in terms of the mode of drug-monolayer interactions but significantly differ for the monolayer permeability. Mycolic acid monolayer generally exhibited a higher free energy barrier of crossing using CHARMM FF, while GROMOS parameters provide better stability of drug molecules on the monolayer surface, which can be attributed to the greater electrostatic potential at the monolayer-water interface. Both the force field parameters predicted the highest resistance against ethambutol, the most soluble molecule. However, significant differences can be recorded for the other two molecules with the change in the interaction parameter set. In summary, our study provides insight into the dependency of in silico modelling of membranes on force field parameters together with the guidelines to investigate the drug-membrane interactions consisting of non-standard lipids/fatty acids.

biophysics↗

DNA Tetrahedral Nanocages as a Promising Nanocarrier for Dopamine Delivery in Neurological Disorders

Dopamine is a neurotransmitter in the central nervous system that is essential for many bodily and mental processes, and a lack of it can cause Parkinsons disease. DNA tetrahedral (TD) nanocages are promising in bio-nanotechnology, especially as a nanocarrier. TD is highly programmable, biocompatible, and capable of cell differentiation and proliferation. It also has tissue and blood-brain barrier permeability, making it a powerful tool that could overcome potential barriers in treating neurological disorders. In this study, we used DNA-TD as a carrier for Dopamine to cells and zebrafish embryos. We investigated the mechanism of complexation between TD and dopamine hydrochloride using gel electrophoresis, fluorescence and circular dichroism (CD) spectroscopy, atomic force microscopy (AFM), and molecular dynamic (MD) simulation tools. Further, we demonstrate these Dopamine-loaded DNA tetrahedral nanostructures cellular uptake and differentiation ability in SH-SY5Y neuroblastoma cells. Furthermore, we extended the study to zebrafish embryos as a model organism to examine survival and uptake. The research provides valuable insights into the complexation mechanism and cellular uptake of dopamine-loaded DNA tetrahedral nanostructures, paving the way for further advancements in nanomedicine for Parkinsons disease and other neurological disorders.

bioengineering↗

Genetic and transcriptomic analysis of hyphal constriction based on a novel assay method in the rice blast fungus

An ability of fungi to undergo hyphal constriction is important for fungal ecology and diseases. In the rice blast fungus, Magnaporthe oryzae, hyphal constriction is required to traverse host cell junctions through pit fields. However, little is known about genetic underpinnings of hyphal constriction, except the requirement of a mitogen-activated protein kinase, Pmk1. Here we demonstrate that a simple in vitro assay based on nitrocellulose membrane allows investigation of the genetic basis for hyphal constriction. Using the assay, we found that the constriction limit of M. oryzae hypha lies between 0.22 and 0.3 m, and that a histone modification might be involved in hyphal constriction. RNA-seq experiments combining our assay and {Delta}pmk1 showed that hyphal constriction relies on transcriptional changes of genes implicated primarily in membrane and cell wall-related cellular processes in Pmk1-dependent and/or Pmk1-independent manner. Furthermore, our assays with diverse fungal species suggest correlation between hyphal constriction and fungal lifestyles. Our study reveals that hyphal constriction can be induced without host-derived cues and provides molecular and evolutionary insights into a fundamental process to infection of host plant.

microbiology↗

PD-L1 activity is associated with partial EMT and metabolic reprogramming in carcinomas

Immune evasion and metabolic reprogramming are hallmarks of cancer progression often associated with a poor prognosis and frequently present significant challenge for cancer therapies. Recent studies have emphasized on the dynamic interaction between immunosuppression and the dysregulation of energy metabolism in modulating the tumor microenvironment to promote cancer aggressiveness. However, a pan-cancer association among these two hallmarks, and a potent common driver for them - Epithelial-Mesenchymal Transition (EMT) - remains to be done. Here, our meta-analysis across 184 publicly available transcriptomic datasets as well as The Cancer Genome Atlas (TCGA) data reveals that an enhanced PD-L1 activity signature along with other immune checkpoint markers correlate positively with a partial EMT and elevated glycolysis signature but a reduced OXPHOS signature in many carcinomas. These trends were also recapitulated in single-cell RNA-seq time-course EMT induction data across cell lines. Furthermore, across multiple cancer types, concurrent enrichment of glycolysis and PD-L1 results in worse outcomes in terms of overall survival as compared to enrichment for only PD-L1 activity or expression. Our results highlight potential functional synergy among these interconnected axes of cellular plasticity in enabling metastasis and/or multi-drug resistance in cancer.

cancer biology↗

Specialized metabolism by trichome-preferentially-expressed Rubisco and fatty acid synthase components

Acylsugars, specialized metabolites with defense activities, are secreted by trichomes of many solanaceous plants. Several acylsugar metabolic genes (AMGs) remain unknown. We previously reported multiple candidate AMGs. Here, using multiple approaches, we characterized additional AMGs. First, we identified differentially expressed genes between high- and low-acylsugar-producing F2 plants derived from a cross between Solanum lycopersicum and S. pennellii, which produce acylsugars [~]1% and [~]20% of leaf dry weight, respectively. Expression levels of many known and candidate AMGs positively correlated with acylsugar amounts in F2 individuals. Next, we identified lycopersicum-pennellii putative orthologs with higher nonsynonymous to synonymous substitutions. These analyses identified four candidate genes, three of which showed enriched expression in stem trichomes compared to underlying tissues (shaved stems). Virus-induced gene silencing confirmed two candidates, Sopen05g009610 [beta-ketoacyl-(acyl-carrier-protein) reductase; fatty acid synthase component] and Sopen07g006810 (Rubisco small subunit), as AMGs. Phylogenetic analysis indicated that Sopen05g009610 is distinct from specialized metabolic cytosolic reductases, but closely related to two capsaicinoid biosynthetic reductases, suggesting evolutionary relationship between acylsugar and capsaicinoid biosynthesis. Additionally, data mining revealed that orthologs of Sopen05g009610 are preferentially expressed in trichomes of several acylsugar-producing solanaceous species. Similarly, orthologs of Sopen07g006810 were identified as trichome-preferentially-expressed members, which form a phylogenetic clade distinct from those of mesophyll-expressed "regular" Rubisco small subunits. Furthermore, {delta}13C analyses indicated recycling of metabolic CO2 into acylsugars by Sopen07g006810 and shed light on how trichomes support high levels of specialized metabolite production. These findings have implications for genetic manipulation of trichome specialized metabolism in solanaceous crops, including tomato, potato, and tobacco.

plant biology↗