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Dalal, A.

Publications and source records attributed to Dalal, A..

At least 19 recordsLinked to original sources

spAlignDE unifies cross-sample and cross-modal spatial alignment with mismatch-aware differential expression

Comparative analysis of spatial omics requires aligning data across samples and modalities to a common coordinate system. Existing methods can be computationally intensive for large datasets, and cross-modal alignment is difficult when datasets lack comparable molecular features. In addition, residual alignment errors can cause locations assigned to the same coordinates to represent different biological regions, producing false differential expression signals. Here we propose spAlignDE, a computational method that integrates structure-guided spatial alignment with mismatch-aware local differential expression analysis. spAlignDE represents structures from spatial transcriptomics, spatial ATAC-seq, histology, and anatomical atlases as continuous fields and aligns them by shooting-based diffeomorphic registration without requiring shared molecular features. In cross-sample benchmarks against 12 methods, spAlignDE achieved the highest agreement in gene expression patterns and anatomical annotations. It also scaled to 20 MERFISH brain sections containing 1.45 million cells. For cross-modal tasks, spAlignDE accurately aligned spatial transcriptomics with histology, the Allen Mouse Brain Common Coordinate Framework, and spatial ATAC-seq. After alignment, spAlignDE estimates local expression contrasts on a shared grid and inflates their variances according to mismatch risk estimated from putatively stable genes and local observation density. The analysis can also adjust for cell-type composition. Simulations showed improved false discovery control without systematic loss of power. In real-data applications, spAlignDE localized age-associated changes in gene expression and T-cell distribution in the mouse brain and spatially restricted expression differences between normal and injured kidney sections.

bioinformatics↗

Compensation of the effects of temperature on a motor system in the crab, Cancer borealis

Rising ocean temperatures challenge ectothermic animals to maintain essential behaviors such as movement and feeding. We asked how a complete neuromuscular pathway preserves function when every component process responds differently to warming. In the pyloric system of the crab Cancer borealis, we simultaneously recorded motor nerve activity, muscle membrane potential, and contraction. Warming preserved rhythmic nerve activity and excitatory junctional potentials, but contraction declined and failed first. Fixed low-frequency stimulation, mimicking cold-temperature motor output, resulted in reduced contraction at warm temperatures, whereas higher-frequency stimulation, mimicking warm-temperature motor output, partially restored contraction. Warming hyperpolarized muscle fibers, moving them farther from contraction threshold, but also reduced input resistance, which together limited over-excitability. However, high-potassium stimulation revealed that the muscle contractile machinery remained functional. Thus, warming acts differently across levels, and overlapping compensatory mechanisms help preserve neuromuscular function across a wide range of temperatures. Significance statementCold-blooded animals that live in climates with significant seasonal changes in ambient temperature must have myriad mechanisms to function over a wide range of environmental conditions. We explore the effects of temperature at multiple levels of organization within the stomatogastric system of the crab, Cancer borealis. We find a series of compensatory mechanisms that cooperatively help maintain stable function despite the fact that the motor patterns, neuromuscular junctions and muscle functions are all differently temperature dependent.

neuroscience↗

BAG6 and RNF126 promote the degradation of cytosolic misfolded proteins that contain buried degron motifs

Missense mutations account for the majority of catalogued human disease-associated variants, and many are predicted to destabilize proteins and promote their degradation. To characterize the pathways responsible for recognizing and clearing such variants, we employed a two-pronged approach to identify both quality control components mediating turnover of misfolded proteins and the sequence elements within their substrates that drive this process. Using a panel of unstable cytosolic missense variants in proximity-labeling and RNAi-based experiments, we identified the BAG6-RNF126 pathway as contributing to the clearance of a subset of these substrates. Applying a tile-based approach to a model cytosolic protein, we uncovered strong potential degrons, including a C-terminal degron degraded in part in a BAG6- and RNF126-dependent manner. Modeling supports that this degron can be accommodated by BAG6. Together, our findings add to the growing body of evidence implicating the BAG6-RNF126 pathway as a key mediator of cytosolic protein quality control.

molecular biology↗

Molecular basis of promiscuous chemokine-engagement by the Duffy antigen receptor

The Duffy blood group antigen, encoded by a seven transmembrane protein known as Duffy Antigen Receptor for Chemokines (DARC), or Atypical Chemokine Receptor 1 (ACKR1), serves as a key receptor for the malarial parasite, Plasmodium vivax, on erythrocytes. DARC exhibits remarkable functional divergence compared to prototypical chemokine receptors and other G protein-coupled receptors (GPCRs) as it does not engage canonical signal-transducers such as G-proteins, GPCR regulatory kinases (GRKs), and {beta}-arrestins. DARC is a highly promiscuous receptor interacting with several homeostatic and inflammatory C-C and C-X-C subtype chemokines, and similar to other chemokine receptors, these interactions are modulated by post-translational tyrosine sulfation in the N-terminus. A single nucleotide polymorphism in DARC leading to Gly42Asp substitution forms the basis for Fya vs. Fyb Duffy blood group antigen classification with differential impact on Plasmodium vivax infection and cancer progression. However, the molecular basis of promiscuous chemokine-binding by DARC and the modulation by receptor sulfation and Fya/Fyb allelic variation remains unclear. Here, we design a sortase-mediated chemical-ligation strategy to generate purified DARC with naturally-occurring tyrosine sulfation at the N-terminus, and determine high-resolution cryo-EM structures in complex with a C-C type chemokine, CCL7, and a C-X-C type chemokine, CXCL8. We observe that similar to CCL7, CXCL8 engages with DARC primarily through the N-terminus of the receptor, which is in stark contrast with the two-site binding mechanism displayed by other chemokine receptors. Interestingly, the E-L-R motif in CXCL8 engages a pseudo-R-D motif in DARC leading to superficial engagement unlike CXCR2, a prototypical chemokine receptor sharing the same agonist. Moreover, tyrosine sulfation and Fyb allelic variation leads to a repositioning of the receptor N-terminus on the core domain of CXCL8, resulting in distinct interaction network imparting greater binding affinity. Taken together, our study presents novel insights into promiscuous chemokine-binding to DARC, tyrosine sulfation-mediated fine-tuning of chemokine engagement, and a generalizable sortase-mediated chemical-ligation platform applicable to other chemokine receptors.

biochemistry↗

Repurposing ethacridine as a potent MMPL3 Inhibitor for the treatment of tuberculosis

Mycobacterium tuberculosis (Mtb), the pathogen responsible for tuberculosis, remains a major global health threat, particularly with the rise of multidrug-resistant and extensively drug-resistant strains. This has renewed interest in repurposing existing drugs and exploring new cellular targets. The mycobacterial cell envelope is a key barrier to antibiotics and an attractive site for therapeutic intervention. In this study, we identify the FDA-approved drug ethacridine as a strong inhibitor of MmpL3, an essential transporter required for exporting trehalose monomycolate and building the cell wall. Computational docking and molecular dynamics indicate that ethacridine engages the MmpL3 binding pocket at residues also targeted by SQ109. Ethacridine shows potent activity against drug-sensitive and resistant Mtb isolates, with an MIC of 1 g/mL, and remains effective against non-replicating bacteria and intracellular infection. Ethacridine-resistant mutants, overexpression strains, and a spheroplast TMM-flipping assay confirm MmpL3 as the target. The compound also disrupts the membrane potential, and flow-cytometry assays

microbiology↗

Molecular mechanism of naturally-encoded signaling-bias at the complement anaphylatoxin receptors

The conceptual framework of biased signaling has revolutionized our understanding of GPCR signaling and regulatory paradigms, and greatly impacted the efforts focused on the discovery of GPCR-targeted therapeutics. However, the mechanistic basis of biased signaling remains primarily defined based on synthetic ligands and receptor mutants with relatively limited progress in understanding naturally-encoded signaling-bias. Here, we present fundamental molecular and structural insights into naturally-encoded signaling-bias at the complement anaphylatoxin C5a receptors namely, C5aR1 and C5aR2. We first discover that C5a-d-Arg, the naturally-occurring version of C5a lacking the terminal arginine, exhibits robust G-protein signaling-bias at C5aR1, characterised by attenuated {beta}arr recruitment. This signaling-bias manifests in both cytokine release from primary human immune cells, and in vivo, during neutrophil mobilization. We combine the cryo-EM structures of C5a/C5a-d-Arg-C5aR1 complexes with MD simulation, site-directed mutagenesis, and cellular experiments to elucidate that the G-protein-bias exhibited by C5a-d-Arg results from a distinct orientation of TM7 and helix 8 in C5aR1 leading to inefficient GRK recruitment and receptor phosphorylation. Next, we determine the first cryo-EM structures of C5aR2, a naturally-encoded {beta}-arrestin-biased receptor, in an apo state, complexed with the natural agonists C5a and C5a-d-Arg, and three peptide agonists including a first-in-class, newly discovered C5aR2-selective agonist, R8Y. These structural snapshots reveal key differences between the binding of C5a and C5a- d-Arg to C5aR1 and C5aR2, and provide a molecular basis of functional specialization at these two receptors. Moreover, the structural insights also allow us to decipher the molecular basis of naturally-encoded signaling-bias at C5aR2 originating from a shallower cytoplasmic interface with hydrophobic interior pocket that is not permissive to efficient G-protein-coupling and activation. Finally, we also engineer and characterize loss-of-function and gain-of-function variants of C5aR1 and C5aR2, which in turn corroborate and validate the structural observations presented here. Collectively, our findings offer crucial insights into previously lacking molecular mechanisms of the naturally-encoded signaling-bias at GPCRs, which have broad implications not only for the general framework of biased-signaling, but also for novel therapeutic design.

biochemistry↗

Atypical activation and molecular glue-like dimerization mechanism of an intrinsically-biased chemokine receptor

CXCR7, also known as atypical chemokine receptor 3 (ACKR3), is a naturally-biased, {beta}-arrestin-coupled seven transmembrane receptor (7TMR) that lacks productive coupling with heterotrimeric G-proteins. Despite a critical involvement in cancer metastasis, cardiovascular pathophysiology, and inflammatory disorders, the molecular basis of non-canonical activation and functional divergence of CXCR7 remains elusive. Here, we present a complete landscape of CXCR7 activation using a series of cryo-EM structures, and discover an atypical activation mechanism that is distinct from prototypical GPCRs. CXCR7 is maintained in a basal conformation by a unique tripartite ionic-lock involving TM5-TM6, in contrast to a broadly conserved TM3-TM6 ionic-lock in GPCRs, which is disrupted upon receptor activation. Importantly, activation of CXCR7 results in a constricted pocket and distinct surface topology on the intracellular side compared to prototypical GPCRs. Serendipitously, we capture novel dimeric arrangements of CXCR7 with an inter-protomer stitching by a native phospholipid serving as a molecular glue, and identify previously unanticipated extrahelical allosteric sites on the receptor. Surprisingly, in an intermediate state structure of CXCR7, the second extracellular loop (ECL2) displays a self-blocking conformation, in stark contrast to ECL2-mediated self-activating mechanism reported recently for some orphan GPCRs. Finally, we unequivocally establish CXCR7 as an atypical opioid receptor via a large peptide library screening and structure elucidation in complex with distinct opioid peptides imparting full receptor activation. In summary, our study elucidates an atypical mechanism of CXCR7 activation, and establishes it as an alternative, non-canonical opioid receptor target with potential for novel pain therapeutics.

biochemistry↗

Genetic Determinants of Heart Failure Susceptibility and Response in the Collaborative Cross Mouse Population

Genetic variation and lived experiences shape how our hearts respond to chronic stress. The specific genetic mechanisms which underly cardiac remodeling, however, are still unclear, due in part to the challenge of accounting for environmental effects in human population studies. To overcome this challenge, we used the Collaborative Cross (CC) mouse population to investigate heritable susceptibility to cardiovascular stress by chronic {beta}-adrenergic receptor stimulation. Across 8 founder and 63 CC lines, we measured cardiac structure and function, organ weights, cell and tissue morphology, and left ventricular gene expression. Genome-wide scans detected 49 genome-wide significant loci, collapsing to 20 unique intervals (nine significant for multiple traits and eleven trait-specific), averaging 12.83 Mb in size. To identify high-confidence candidate genes from these loci, we augmented our trait mapping with associations between loci and gene expression, isoproterenol-dependent transcriptional changes, coding variants drawn from sequencing data, tractability in our in vitro rat cardiomyocyte model, and previously reported protein functions and mouse or human phenotypes. This approach recovered both known regulators, such as Hey2, and new candidates. Functional tests in in vitro models highlight three candidate genes that modulate hypertrophic growth: Abcb10, Mrps5 and Lmod3. Abcb10 knockdown increased cell size at baseline and further with isoproterenol, consistent with loss of a mitochondrial stress-buffering role. Mrps5 knockdown blunted stress-induced hypertrophy. Paradoxical upregulation of Lmod3 after siRNA transfection (validated at the protein level) also attenuated hypertrophy, consistent with reinforcement of actin-assembly control under catecholamine stress. Together, these results reveal heritable pathways of {beta}-adrenergic remodeling in mice and provide an interpretable, translational, and stepwise framework to prioritize candidate genes within broad loci for mechanistic studies of heart failure.

genomics↗

Global Analyses of Genomic and Epigenomic Influences on Gene Expression Reveals Serpina3n as a Major Regulator of Cardiac Gene Expression in Response to Catecholamine Challenge During Heart Failure

Heart failure arises from maladaptive remodeling driven by genetic and epigenetic networks. Using a systems genetics framework, we mapped how DNA variants and CpG methylation shape cardiac transcriptomes during beta adrenergic stress in the Hybrid Mouse Diversity Panel, a cohort of over 100 fully inbred mouse strains. Expression QTLs (eQTLs), methylation QTLs (mQTLs) and methylation-driven eQTLs (emQTLs) were generated from over 13k expressed genes and 200k hypervariable CpGs in left ventricles. We discovered hundreds of regulatory "hotspots" that control large portions of the genome, including several that regulate over 10% of the transcriptome and/or methylome. Approximately 16% of these hotspots overlapped with prior GWAS or EWAS signals. We focus on a hotspot on chromosome 12 and identify the serpine peptidase inhibitor Serpina3n, as the most likely driver gene in this hotspot. Experimental knockdown of Serpina3n in neonatal rat ventricular cardiomyocytes blunted hypertrophy induced by a variety of hypertrophic signals, while altering predicted target expression and modulating the activity of Nppa and Nppb. Together, these findings position Serpina3n as a major regulator of stress-responsive cardiac gene programs, highlighting how integration of genetic and epigenetic signals can pinpoint key drivers of heart failure. Key HighlightsO_LICross-omics hotspot analysis: We identified 286 eQTL, mQTL, and emQTL hotspots in the Hybrid Mouse Diversity Panel, including several hotspots that regulate over 10% of the cardiac transcriptome. C_LIO_LIIntegration with prior GWAS/EWAS: [~]16% of hotspots overlapped with previously reported heart failure hotspots, strengthening their biological relevance. C_LIO_LIDiscovery of Serpina3n as heart failure regulator: A hotspot on chromosome 12 linked to Serpina3n controlled 4-6% of all gene expression and CpG methylation changes in response to isoproterenol. C_LIO_LIFunctional validation: siRNA knockdown of Serpina3n in cardiomyocytes significantly blunted hypertrophy induced by isoproterenol, angiotensin II, and phenylephrine. C_LIO_LIPathway insights: Genes regulated by the Serpina3n hotspot were enriched for mitochondrial function, dilated cardiomyopathy, and hypertrophic signaling pathways, highlighting a mechanistic link to heart failure progression. C_LI

genetics↗

A connectomic resource for neural cataloguing and circuit dissection of the larval zebrafish brain

We present a correlated light and electron microscopy (CLEM) dataset from a 7-day-old larval zebrafish, integrating confocal imaging of genetically labeled excitatory (vglut2a) and inhibitory (gad1b) neurons with nanometer-resolution serial section EM. The dataset spans the brain and anterior spinal cord, capturing >180,000 segmented soma, >40,000 molecularly annotated neurons, and 30 million synapses, most of which were classified as excitatory, inhibitory, or modulatory. To characterize the directional flow of activity across the brain, we leverage the synaptic and cell body annotations to compute region-wise input and output drive indices at single cell resolution. We illustrate the datasets utility by dissecting and validating circuits in three distinct systems: water flow direction encoding in the lateral line, recurrent excitation and contralateral inhibition in a hindbrain motion integrator, and functionally relevant targeted long-range projections from a tegmental excitatory nucleus, demonstrating that this resource enables rigorous hypothesis testing as well as exploratory-driven circuit analysis. The dataset is integrated into an open-access platform optimized to facilitate community reconstruction and discovery efforts throughout the larval zebrafish brain.

neuroscience↗

Molecular fingerprints of a convergent mechanism orchestrating diverse ligand recognition and species-specific pharmacology at the complement anaphylatoxin receptors

Complement anaphylatoxin receptors (C3aR and C5aR1) are prototypical G protein-coupled receptors (GPCRs) playing crucial physiological roles in innate immunity by combating pathogenic infections and orchestrating inflammatory responses. They continue to be important therapeutic targets for multiple disorders including autoimmune diseases, acute and chronic inflammation, and allergy-related conditions. Recent structural coverage has provided important insights into their activation and signaling, however, confounding observations in the literature related to ligand efficacy and functional responses, especially in different model systems, present a major challenge for drug discovery efforts. Here, we systematically and comprehensively profile a broad set of natural and synthetic ligands at C3aR and C5aR1 and discover a previously unanticipated level of functional specialization in terms of species-specific pharmacology and receptor activation. Taking a lead from this, we determine seventeen cryo-EM structures of different ligand-receptor-G-protein complexes and uncover distinct orientation of agonists between the human and mouse receptors despite an overlapping positioning in the orthosteric binding pocket. Combined with extensive mutagenesis and functional assays, these structural snapshots allow us to decode and validate a convergent molecular mechanism involving a "Five-Point-Switch" in these receptors that orchestrates the recognition and efficacy of diverse agonists. We also identify species-specific differences at the level of phosphorylation patterns encoded in the carboxyl-terminus of these receptors and directly visualize their impact on {beta}arr binding and activation using cryo-EM structures. Interestingly, we observe that {beta}arrs engage with the mouse C5aR1 using a variation of previously discovered P-X-P-P phosphorylation motif via a "Sliding-Mechanism" and also exhibit distinct oligomeric state for the human vs. mouse receptors. Taken together, this study elucidates functional specialization at the complement anaphylatoxin receptors and underlying molecular mechanisms, offering a previously lacking framework with direct and immediate implications for the development of novel therapeutics.

biochemistry↗

Mapping DNA Methylation to Cardiac Pathologies Induced by Beta-Adrenergic Stimulation in a Large Panel of Mice

BackgroundHeart failure (HF) is a leading cause of morbidity and mortality worldwide, with over 18 million deaths annually. Despite extensive research, genetic and environmental factors contributing to HF remain complex and poorly understood. Recent studies suggest that epigenetic modifications, such as DNA methylation, may play a crucial role in regulating HF-associated phenotypes. In this study, we leverage the Hybrid Mouse Diversity Panel (HMDP), a cohort of over 100 inbred mouse strains, to investigate the role of DNA methylation in HF progression. ObjectiveWe aim to identify epigenetic modifications associated with HF by integrating DNA methylation data with gene expression and phenotypic traits. Using isoproterenol (ISO)-induced cardiac hypertrophy and failure in HMDP mice, we explore the relationship between methylation patterns and HF susceptibility. MethodsWe performed reduced representational bisulfite sequencing (RRBS) to capture DNA methylation at single-nucleotide resolution in the left ventricles of 90 HMDP mouse strains under both control and ISO-treated conditions. We identified differentially methylated regions (DMRs) and performed an epigenome-wide association study (EWAS) using the MACAU algorithm. We identified likely candidate genes within each locus through integration of our results with previously reported sequence variation, gene expression, and HF-related phenotypes. In vitro approaches were employed to validate key findings, including gene knockdown experiments in neonatal rat ventricular myocytes (NRVMs). We also examined the effects of preventing DNA methyltransferase activity on HF progression. ResultsOur EWAS identified 56 CpG loci significantly associated with HF phenotypes, including 18 loci where baseline DNA methylation predicted post-ISO HF progression. Key candidate genes, such as Prkag2, Anks1, and Mospd3, were identified based on their epigenetic regulation and association with HF traits. In vitro follow-up on a number of genes confirmed that knockdown of Anks1 and Mospd3 in NRVMs resulted in significant alterations in cell size and blunting of ISO-induced hypertrophy, demonstrating their functional relevance in HF pathology. Furthermore, treatment with the DNA methyltransferase inhibitor RG108 in ISO-treated BTBRT mice significantly reduced cardiac hypertrophy and preserved ejection fraction compared to mice only treated with ISO, highlighting the therapeutic potential of targeting DNA methylation in HF. Differential expression analysis revealed that RG108 treatment restored the expression of several methylation-sensitive genes, further supporting the role of epigenetic regulation in HF. ConclusionOur study demonstrates a clear interplay between DNA methylation, gene expression, and HF-associated phenotypes. We identified several novel epigenetic loci and candidate genes that contribute to HF progression, offering new insights into the molecular mechanisms of HF. These findings underscore the importance of epigenetic regulation in cardiac disease and suggest potential therapeutic strategies for modifying HF outcomes through targeting DNA methylation.

genomics↗

A cell and transcriptome atlas of the human arterial vasculature

Contiguous arterial segments show different propensities for different vascular pathologies, yet mechanisms explaining these fundamental differences remain unknown. We sought to build a transcriptomic, cellular, and spatial atlas of human arterial cells across multiple different arterial segments to understand these underlying differences. Analysis of multiple isogenic arterial segments from healthy donors reveals a significant stereotyped pattern of cell type-specific segmental heterogeneity in healthy arteries. Combining single cell analysis with spatial transcriptomic data reveals cellular heterogeneity not captured by commonly used cell-type marker genes. Determinants of arterial transcriptomic identities are predominantly encoded in fibroblasts and smooth muscle cells (SMC), and their differentially expressed genes are particularly enriched for different vascular disease-associated genetic risk- loci and risk-genes. Adventitial fibroblast-specific heterogeneity in gene expression coincides with a disproportionally large number of vascular disease genetic signals, suggesting a previously unrecognized role for this cell type in disease risk. Adult arterial cells from different segments cluster not by anatomical proximity, but by embryonic origin. Global regulon analysis of disease related segment-specific gene expression program in fibroblast and SMC enriches for binding sites of transcription factors that are developmental master regulators whose expression persists into adulthood, suggesting an important functional role of the same developmental master regulators in adult gene expression and disease. Lastly, non-coding transcriptomes across arterial cells contain extensive variation in lncRNAs expressed in cell type- and segment-specific patterns, rivaling heterogeneity in protein coding transcriptomes. Differentially expressed LncRNA demonstrate enrichment for non-coding genetic signals for vascular diseases, suggesting a potential global role of segmental specific LncRNAs in regulating inherited human vascular disease risk.

cell biology↗

Identification of nuclear pore proteins at plasmodesmata

Plasmodesmata (PD) mediate intercellular exchange of small molecules, RNAs and proteins between plant cells with an apparent exclusion limit for passive non-specific transport, and transport of specific cargo mediated by mediators. PD and nuclear pore complexes (NPC) are nanometer sized micropores with strikingly similar properties. Cargo translocation through NPC is mediated by phase separating FG-nucleoporins (FG-NUP). Here, bioinformatics, proteomics and fluorescence imaging identified FG-NUPs at PD. Transient expression of GFP fusions at low and intermediate expression levels supported dual localization of 12 NUPs to NPC and PD. Structured illumination microscopy detected the transmembrane anchor NUP CPR5 close to orifices of PD. cpr5 mutants showed reduced intercellular short-root (SHR) transport. However, transport defects cannot be excluded due to indirect effects in the mutants. Identification of FG-NUPs at PD is consistent with the recruitment of NUPs to form a PD pore gating complex consistent with phase separation domains as diffusion barriers at PD. Further analyses will be required to determine whether NUPs are bona fide PD components, or accumulate at PD in certain conditions, or may serve intermediate NPC storage.

cell biology↗

A missense mutation in the gene encoding the Mg-chelatase subunit I leads to a viable pale green line with phenotypic features of potential interest for barley breeding programs

The pale green trait, i.e. reduced chlorophyll content, has been shown to increase the efficiency of photosynthesis and biomass accumulation when photosynthetic microorganisms and tobacco plants are cultivated at high densities. Thus, the hus1 barley mutant is defective in photosystem antenna biogenesis, and exhibits a 50% reduction in leaf chlorophyll content. Nevertheless, its agronomical performance under standard field conditions is comparable to that of the wild-type. This supports the notion that crops can decrease their investment in antenna proteins and chlorophyll biosynthesis without detrimental effects on productivity. Here, we assess the effects of reducing leaf chlorophyll content in barley by altering the chlorophyll biosynthesis pathway (CBP). To this end, we have isolated and characterised the pale green barley mutant xan-h.chli-1, which carries a missense mutation in the Xan-h gene for subunit I of Mg-chelatase (HvCHLI), the first enzyme in the CBP. Intriguingly, xan-h.chli-1 is the only known viable homozygous mutant at the Xan-h locus in barley. The Arg298Lys amino-acid substitution in the ATP-binding cleft causes a slight decrease in HvCHLI protein abundance, and a marked reduction in Mg-chelatase activity. Under controlled growth conditions, mutant plants display reduced accumulation of antenna and photosystem core subunits, together with reduced photosystem II yield relative to wild type under moderate illumination, and consistently higher than wild-type levels at high light intensities. Moreover, the reduced content of leaf chlorophyll is associated with a stable reduction in daily transpiration rate, and slight decreases in total biomass accumulation and water-use efficiency. These traits are reminiscent of phenotypic features of wild barley accessions and landraces that thrive under arid climatic conditions. Overall, our findings make the xan-h.chli-1 allelic variant of potential interest for tailoring barley, and other crop plants, for growth in harsh environments.

plant biology↗

A genetically-encoded nanobody sensor reveals conformational diversity in beta-arrestins orchestrated by distinct seven transmembrane receptors

Agonist-induced interaction of G protein-coupled receptors (GPCRs) with {beta}-arrestins ({beta}arrs) is a critical mechanism that regulates the spatio-temporal pattern of receptor localization and downstream signaling. While the underlying mechanism governing GPCR-{beta}arr interaction is primarily conserved and involves receptor activation and phosphorylation, there are several examples of receptor-specific fine-tuning of {beta}arr-mediated functional outcomes. Considering the key contribution of conformational plasticity of {beta}arrs in driving receptor-specific functional responses, it is important to develop and characterize novel sensors capable of reporting distinct {beta}arr conformations in cellular context. Here, we design an intrabody version of a {beta}arr-recognizing nanobody (nanobody32), referred to as intrabody32 (Ib32), in NanoLuc enzyme complementation assay format, and measure its ability to recognize {beta}arr1 and 2 in live cells upon activation of a broad set of GPCRs. We discover that Ib32 robustly recognizes activated {beta}arr1 and 2 in the plasma membrane as well as in the endosomes, and effectively mirrors {beta}arr recruitment profile upon stimulation of GPCRs. We also design an Ib32 sensor for single-photon polarization microscopy with a change in linear dichroism as readout and demonstrate its utility for monitoring {beta}arr activation upon stimulation of angiotensin receptor by its natural and biased agonists. Interestingly, when used side-by-side with a previously described sensor of {beta}arr1 conformation known as Ib30, Ib32 uncovers distinct conformational signatures imparted on {beta}arrs by different GPCRs, which is further corroborated using an orthogonal limited proteolysis assay. Taken together, our study presents Ib32 as a novel sensor to monitor {beta}arr activation and leverages it to uncover conformational diversity encoded in the GPCR-{beta}arr system with direct implications for improving the current understanding of GPCR signaling and regulatory paradigms.

biochemistry↗

Whole-Plant Physiological Identification and Quantification of Disease Progression

Visual estimates of plant symptoms are traditionally used to quantify disease severity. Yet, the methodologies used to assess these phenotypes are often subjective and do not allow tracking of disease progression from very early stages. Here, we hypothesized that quantitative analysis of whole-plant physiological vital functions can be used to objectively determine plant health, providing a more sensitive way to detect disease. We studied the tomato wilt that is caused by Fusarium oxysporum f. sp. lycopersici. Physiological performance of infected and non-infected tomato plants was compared using a whole-plant pot-based lysimeter functional-phenotyping system in a semi-environmentally controlled greenhouse. Water-balance traits of the plants were measured continuously and simultaneously in a quantitative manner. Infected plants exhibited early reductions in transpiration and biomass gain, which preceded visual disease symptoms. These changes in transpiration proved to be effective quantitative indicators for assessing both plant susceptibility to infection and virulence of the fungus. Physiological changes linked to fungal outgrowth and toxin release contributed to reduced hydraulic conductance during initial infection stages. The functional-phenotyping method objectively captures early-stage disease progression, advancing plant disease research and management. This approach emphasizes the potential of quantitative whole-plant physiological analysis over traditional visual estimates for understanding and detecting plant diseases.

plant biology↗

Molecular basis of ligand promiscuity, structural mimicry, and atypical dimerization in the chemokine receptors

Selectivity of natural agonists for their cognate receptors is one of the hallmarks of the members of GPCR family, and it is crucial for the specificity of downstream signal-transduction. However, this selectivity often breaks down in the chemokine receptor subfamily, wherein a high degree of promiscuity is observed with one receptor recognizing multiple chemokines and one chemokine binding to multiple receptors. The molecular determinants of such a striking promiscuity for natural ligands in the chemokine-chemokine receptor system remain mostly elusive and represent an important knowledge gap in our current understanding. Here, we carry out a comprehensive transducer-coupling analysis, testing all known C-X-C chemokines on every C-X-C type chemokine receptor, to generate a global fingerprint of the selectivity and promiscuity encoded within this system. Taking lead from our finding, we determined cryo-EM structures of the most promiscuous receptor, CXCR2, in complex with every interacting chemokine, and deciphered the conserved molecular signatures and distinct binding modalities. While most chemokines position themselves on the receptor as a dimer, CXCL6 exhibits a monomeric binding pose induced by a previously unanticipated reorientation of its carboxyl-terminal -helix, leading to disruption of the dimer interface. Surprisingly, one of the chemokines, CXCL5, induces a ligand-swapped dimer of CXCR2, the first of its kind observed in class A GPCRs, wherein each protomer of the ligand engages its own receptor without any discernible receptor-receptor interface. These unique observations provide a possible structural mechanism for inherent functional specialization encoded in chemokines despite their convergence to a common receptor. Furthermore, we also determined cryo-EM structures of CXCR3 in complex with G-protein-biased and {beta}-arrestin-biased small molecule agonists that elucidate distinct allosteric modulations in the receptor driving their divergent transducer-coupling bias. Guided by structural analysis and experimental validation, we discover that in contrast to previously held notion, small molecule agonists of CXCR3 display robust agonism at CXCR7, an intrinsically biased, {beta}-arrestin-coupled receptor, making them first-in-class dual agonists for chemokine receptors with exclusive {beta}arr-bias at CXCR7. Taken together, our study provides molecular insights into ligand promiscuity and signaling bias at the chemokine receptors, and also demonstrates a proof of principle that naturally encoded structural mimicry can be recapitulated using synthetic pharmacophores with potential implications for developing novel therapeutics.

biochemistry↗