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Dutta, S.

Publications and source records attributed to Dutta, S..

At least 109 records · Page 6Linked to original sources

High diversity of Proteobacteria amid the dominance of a few Aquificae species in the vent-water of a Trans-Himalayan sulfur-borax hot spring

Trans-Himalayan hot spring waters rich in boron, chlorine, sodium and sulfur (but poor in calcium and silicon) are known based on PCR-amplified 16S rRNA gene sequence data to harbor high diversities of infiltrating bacterial mesophiles. Yet, little is known about the community structure and functions, primary productivity, mutual interactions, and thermal adaptations of the microorganisms present in the steaming waters discharged by these geochemically peculiar spring systems. We revealed these aspects of a bacteria-dominated microbiome (microbial cell density [~]8.5 x 104 mL-1; live:dead cell ratio 1.7) thriving in the boiling (85{degrees}C) fluid vented by a sulfur-borax spring called Lotus Pond, situated at 4436 m above the mean sea-level, in the Puga valley of eastern Ladakh, on the Changthang plateau. Assembly, annotation, and population-binning of >15-GB metagenomic sequence illuminated the numeral predominance of Aquificae. While members of this phylum accounted for 80% of all 16S rRNA-encoding reads within the metagenomic dataset, 14% of such reads were attributed to Proteobacteria. Post assembly, only 25% of all protein-coding genes identified were attributable to Aquificae, whereas 41% was ascribed to Proteobacteria. Annotation of metagenomic reads encoding 16S rRNAs, and/or PCR-amplified 16S rRNA genes, identified 163 bacterial genera, out of which 66 had been detected in past investigations of Lotus Ponds vent-water via 16S amplicon sequencing. Among these 66, Fervidobacterium, Halomonas, Hydrogenobacter, Paracoccus, Sulfurihydrogenibium, Tepidimonas, Thermus and Thiofaba (or their close phylogenomic relatives) were presently detected as metagenome-assembled genomes (MAGs). Remarkably, the Hydrogenobacter related MAG alone accounted for [~]56% of the entire metagenome, even though only 15 out of the 66 genera consistently present in Lotus Ponds vent-water have strains growing in the laboratory at >45{degrees}C, reflecting the continued existence of the mesophiles in the ecosystem. Furthermore, the metagenome was replete with genes crucial for thermal adaptation in the context of Lotus Ponds geochemistry and topography. In terms of sequence similarity, a majority of those genes were attributable to phylogenetic relatives of mesophilic bacteria, while functionally they rendered functions such as encoding heat shock proteins, molecular chaperones, and chaperonin complexes; proteins controlling/modulating/inhibiting DNA gyrase; universal stress proteins; methionine sulfoxide reductases; fatty acid desaturases; different toxin-antitoxin systems; enzymes protecting against oxidative damage; proteins conferring flagellar structure/function, chemotaxis, cell adhesion/aggregation, biofilm formation, and quorum sensing. The Lotus Pond Aquificae not only dominated the microbiome numerically but also acted potentially as the main primary producers of the ecosystem, with chemolithotrophic sulfur oxidation (Sox) being the fundamental bioenergetic mechanism, and reductive tricarboxylic acid (rTCA) cycle the predominant carbon fixation pathway. The Lotus Pond metagenome contained several genes directly or indirectly related to virulence functions, biosynthesis of secondary metabolites including antibiotics, antibiotic resistance, and multi-drug efflux pumping. A large proportion of these genes being attributable to Aquificae, and Proteobacteria (very few were ascribed to Archaea), it could be worth exploring in the future whether antibiosis helped the Aquificae overcome niche overlap with other thermophiles (especially those belonging to Archaea), besides exacerbating the bioenergetic costs of thermal endurance for the mesophilic intruders of the ecosystem.

genomics↗

BrainProt(™) 3.0: Understanding Human Brain Diseases using comprehensively curated & Integrated OMICS datasets

BrainProt 3.0 is an integrative and simplified omics-based knowledge base of the human brain and its associated diseases. The current version of BrainProt includes six domains, which provide simplified, robust, and comprehensive data visualization to understand the human brain and its diseases/disorders based on proteomics, transcriptomics, public data curation, and integration strategies. Firstly, the HBDA (Human Brain Disease Atlas), index and navigator of BrainProt provides a resource table for 56 brain diseases. Secondly, Brain Disease Marker Curator (BDMC) and Brain Disease Drug Finder (BDDF) include a total of 20,202 diseases associated genes, more than 1,30,000 Chemical Target interactions, and around 2,145 Clinical Trial Information for more than 50 Brain Diseases. Thirdly, Brain Disease Transcriptome Map (BDTM) and Brain Disease Proteome Map (BDPM) integrate multi-omics data for 11 and 6 alarming brain diseases respectively. Currently, these two domains feature an expressional profile of 52 datasets, information of 1,868 samples, 3,657 DEPs, and 6,256 DEGs. Lastly, BrainProt also modifies and integrates the proteome and phosphoproteome data of the Inter-hemispheric Brain Proteome Map (IBPM). Overall, BrainProt is the first knowledgebase that connects different omics level information of brain diseases and provides a powerful scoring-based ranking platform to select and identify brain disease-associated markers, along with exploration of clinical trials, and drugs/chemical compounds to accelerate the identification of new disease markers and novel therapeutic strategies. The objectives of BrainProt are to support and follow the footsteps of the HBPP (Human Brain Proteome Project) by integrating different datasets to unravel the complexity of Human Brain and its associated diseases.

neuroscience↗

TBX2 driven switch from Androgen Receptor to Glucocorticoid Receptor signaling confers therapeutic resistance in Prostate Cancer

Recent studies have highlighted that androgen receptor (AR) signaling can be bypassed via activation of the glucocorticoid receptor (GR), and that this bypass drives enzalutamide resistance in advanced prostate cancer (PCa). However, the molecular mechanism(s) that drive the switch from AR to GR signaling remain unknown. We have previously reported that TBX2, a developmental T-box transcription factor (TF), is over-expressed in castrate resistant prostate cancer (CRPC) and that TBX2 drives the CRPC phenotype via cell-intrinsic and exosome-mediated paracrine modes. Our current study demonstrates that TBX2, a TF with known repressor and activator functions, may be the molecular switch that represses AR on one hand while activating GR expression on the other to drive CRPC. Mechanistically, our studies revealed a two-tiered mechanism of AR repression by TBX2 wherein TBX2 directly binds to the promoters of AR and GATA2, an AR coregulator, thereby resulting in the repression of AR as well as GATA2. Conversely, our results demonstrate that TBX2 mediates increased expression of GR via directly binding to the GR promoter, and through TBX2-GR functional protein-protein interaction. Our results demonstrate that the TBX2 driven switch from AR to GR signaling results in enzalutamide resistance since GR inhibition in the context of TBX2 over-expression attenuates enzalutamide resistance. Further, we present evidence that SP2509 based allosteric inhibition of Lysine Specific Demethylase 1 (LSD1), a protein that interacts with TBX2 as part of the Co-repressor of RE1-Silencing Transcription Factor (COREST) complex, is able to disrupt TBX2-GR interaction. Taken together, our study has identified TBX2 as the molecular switch that drives AR to GR signaling and thereby confers enzalutamide resistance in CRPC. Furthermore, our study provides key insights into a potential therapeutic strategy of targeting the AR to GR switch wherein SP2509-based allosteric inhibition of TBX2-LSD1 could be harnessed to target the TBX2-GR interaction, thereby resulting in the inhibition of enzalutamide resistance in CRPC.

cancer biology↗

Myocardial IGF2R is a critical mediator of inflammation and fibrosis after ischemia-reperfusion injury

Ischemia-reperfusion (I/R) injury is a common occurrence in various surgical procedures used to treat heart diseases. However, the role of insulin-like growth factor 2 receptor (IGF2R) during the process of myocardial I/R remains unclear. Therefore, this study aims to investigate the expression, distribution, and functionality of IGF2R in various I/R-associated models (such as reoxygenation, revascularization, and heart transplant). Loss-of-function studies (including myocardial conditional knockout and CRISPR interference) were performed to clarify the role of IGF2R in I/R injuries. Following hypoxia, IGF2R expression increased, but this effect was reversed upon restoration of oxygen levels. Loss of myocardial IGF2R was found to enhance the cardiac contractile functions, and reduced cell infiltration or cardiac fibrosis of I/R mouse models compared to the genotype control. CRISPR-inhibition of IGF2R decreased cell apoptotic death under hypoxia. RNA sequencing analysis indicated that myocardial IGF2R played a critical role in regulating the inflammatory response, innate immune response, and apoptotic process following I/R. Integrated analysis of the mRNA profiling, pulldown assays, and mass spectrometry identified granulocyte-specific factors as potential targets of myocardial IGF2R in the injured heart. In conclusion, myocardial IGF2R emerges as a promising therapeutic target to ameliorate inflammation or fibrosis following I/R injuries.

cell biology↗

Self-organized intracellular twisters

Life in complex systems, such as cities and organisms, comes to a standstill when global coordination of mass, energy, and information flows is disrupted. Global coordination is no less important in single cells, especially in large oocytes and newly formed embryos, which commonly use fast fluid flows for dynamic reorganization of their cytoplasm. Here, we combine theory, computing, and imaging to investigate such flows in the Drosophila oocyte, where streaming has been proposed to spontaneously arise from hydrodynamic interactions among cortically anchored microtubules loaded with cargo-carrying molecular motors. We use a fast, accurate, and scalable numerical approach to investigate fluid-structure interactions of 1000s of flexible fibers and demonstrate the robust emergence and evolution of cell-spanning vortices, or twisters. Dominated by a rigid body rotation and secondary toroidal components, these flows are likely involved in rapid mixing and transport of ooplasmic components.

biophysics↗

Role of GD2 and its biosynthetic enzyme GD3 synthase in prostate cancer tumorigenesis

While better management of loco-regional prostate cancer (PC) has greatly improved survival, advanced PC remains a major cause of cancer deaths. Identification of novel targetable pathways that contribute to tumor progression in PC could open new therapeutic options. The di-ganglioside GD2 is a target of FDA-approved antibody therapies in neuroblastoma, but the role of GD2 in PC is unexplored. Here, we show that GD2 is expressed in a small subpopulation of PC cells in a subset of patients and a higher proportion of metastatic tumors. Variable levels of cell surface GD2 expression were seen on many PC cell lines, and the expression was highly upregulated by experimental induction of lineage progression or enzalutamide resistance in CRPC cell models. GD2high cell fraction was enriched upon growth of PC cells as tumorspheres and GD2high fraction was enriched in tumorsphere-forming ability. CRISPR-Cas9 knockout (KO) of the rate-limiting GD2 biosynthetic enzyme GD3 Synthase (GD3S) in GD2high CRPC cell models markedly impaired the in vitro oncogenic traits and growth as bone-implanted xenograft tumors and reduced the cancer stem cell (CSC) and epithelial-mesenchymal transition (EMT) marker expression. Our results support the potential role of GD3S and its product GD2 in promoting PC tumorigenesis by maintaining cancer stem cells and suggest the potential for GD2 targeting in advanced PC.

cancer biology↗

Recognition determinants of broad and potent HIV-1 neutralization by an affinity matured antibody from a pediatric elite-neutralizer

The structural and characteristic features of HIV-1 broadly neutralizing antibodies (bnAbs) from chronically infected pediatric donors are currently unknown. Herein, we characterized a heavy chain matured HIV-1 bnAb 44m, identified from a pediatric elite-neutralizer. Interestingly, in comparison to its wild-type AIIMS-P01 bnAb, 44m exhibited moderately higher level of somatic hypermutations of 15.2%. The 44m neutralized 79% of HIV-1 heterologous viruses (n=58) tested, with a geometric mean IC50 titer of 0.36 {micro}g/ml. The cryo-EM structure of 44m Fab in complex with fully-cleaved glycosylated native-like BG505.SOSIP.664.T332N gp140 envelope trimer at 4.4[A] resolution revealed that 44m targets the V3-glycan N332-supersite and GDIR motif to neutralize HIV-1 with improved potency and breadth, plausibly attributed by a matured heavy chain as compared to that of wild-type AIIMS-P01. This study further improves our understanding on pediatric HIV-1 bnAbs and structural basis of broad HIV-1 neutralization by 44m may be useful blueprint for vaccine design in future.

immunology↗

Cryo-EM reveals the mechanism of DNA compaction by Mycobacterium smegmatis Dps2

DNA-binding protein under starvation (Dps), is a miniature ferritin complex which plays a vital role in protecting bacterial DNA during starvation for maintaining the integrity of bacteria from hostile conditions. Mycobacterium smegmatis is one such bacteria that express MsDps2, which binds DNA to protect it under oxidative and nutritional stress conditions. Several approaches, including cryo-electron tomography (Cryo-ET), were implemented to identify the structure of the Dps protein that is bound to DNA. However, none of the structures of the Dps-DNA complex was resolved to high resolution to be able to identify the DNA binding residues. In this study, we implemented various biochemical and biophysical studies to characterize the DNA protein interactions of Dps protein. We employed single-particle cryo-EM-based structural analysis of MsDps2-DNA and identify that the region close to N-terminal confers the DNA binding property. Based on cryo-EM data, we performed mutations of several arginine residues proximal to DNA binding region, which dramatically reduced the MsDps2-DNA interaction. In addition, we demonstrated the proposed model for DNA compaction during lattice formation. We also pinpointed arginine residues, which are responsible for DNA binding in lattice arrangement of MsDps2. We performed single-molecule imaging experiments of MsDps2-DNA interactions that corroborate well with our structural studies.

biophysics↗

Conditional, tissue-specific CRISPR/Cas9 vector system in zebrafish reveal the role of neuropilin-1b in heart regeneration

CRISPR/Cas9 technology-mediated genome editing has significantly improved the targeted inactivation of genes in vitro and in vivo in many organisms. In this study, we have reported a novel CRISPR-based vector system for conditional tissue-specific gene ablation in zebrafish. Specifically, the cardiac-specific cardiac myosins light chain 2 (cmlc2) promoter drives Cas9 expression to silence the neuropilin-1(nrp1) gene in cardiomyocytes in a heat-shock inducible manner. This vector system establishes a unique tool to regulate the gene knockout in both the developmental and adult stages and hence, widens the possibility of loss-of-function studies in zebrafish at different stages of development and adulthood. Using this approach, we investigated the role of neuropilin isoforms nrp1a and nrp1b in response to cardiac injury and regeneration in adult zebrafish hearts. We observed that both the isoforms (nrp1a and nrp1b) are upregulated after the cryoinjury. Interestingly, the nrp1b-knockout significantly altered heart regeneration and impaired cardiac function in the adult zebrafish, demonstrated by reduced heart rate (ECG), ejection fractions, and fractional shortening. In addition, we show that the knockdown of nrp1b but not nrp1a induces activation of the cardiac remodeling genes in response to cryoinjury. To our knowledge, this is the first study where we have reported a heat shock-mediated conditional knockdown of nrp1a and nrp1b isoforms using CRISPR/Cas9 technology in the cardiomyocyte in zebrafish, and furthermore have identified a crucial role for nrp1b isoform in zebrafish cardiac remodeling and eventually heart function in response to injury.

molecular biology↗

High resolution cryo-EM structures of two potently SARS-CoV-2 neutralizing monoclonal antibodies of same donor origin that vary in neutralizing Omicron variants

While vaccines have by large been found to effective against the evolving SARS-CoV-2 variants, the profound and rapid effectivity of monoclonal antibodies (mAbs) in significantly reducing hospitalization to severe disease outcomes have also been demonstrated. In the present study, by high resolution cryo-electron microscopy (cryo-EM), we examined the structural insights of two trimeric spike (S) protein bound mAbs isolated from an Indian convalescent individual infected with ancestral SARS-CoV-2 which we recently reported to potently neutralize SARS-CoV-2 from its ancestral form through highly virulent Delta form however different in their ability to neutralize Omicron variants. Our findings showed binding and conformational heterogeneities of both the mAbs (THSC20.HVTR04 and THSC20.HVTR26) bound to S trimer in its apo and hACE-2 bound forms. Additionally, cryo-EM resolved structure assisted modeling highlighted key residues associated with the ability of these two mAbs to neutralize Omicron variants. Our findings highlighted key interacting features modulating antigen-antibody interacting that can further aid in structure guided antibody engineering to enhance their breadth and potency. HighlightsO_LITwo potent human mAbs obtained from a single donor differ binding to Omicron spikes C_LIO_LIPattern of binding and conformation of these mAbs bound to full length spike differs C_LIO_LIAntibody binding alters the conformational states of S trimer in its apo and hACE-2 bound forms. C_LIO_LICryo-EM structure guided modeling highlighted correlates of interacting residues associated with resistance and sensitivity of BA.1, BA.2, BA.4/BA.5 resistance and sensitivity against these mAbs. C_LI

biophysics↗

Structures of FtsZ from a cell-wall less bacterium Spiroplasma provide a mechanism for kinetic polarity

FtsZ, the tubulin homolog essential for bacterial cell division, assembles as Z-ring at the division site, and directs peptidoglycan synthesis by treadmilling. To obtain insights into fundamental features of FtsZ assembly dynamics independent of peptidoglycan synthesis, we characterized the FtsZ from the cell wall-less bacteria, Spiroplasma melliferum (SmFtsZ). SmFtsZ was found to be a slower GTPase and has higher critical concentration (CC) for polymerization compared to Escherichia coli FtsZ (EcFtsZ). In FtsZs, a conformational switch from R (close)- to T (open)- state favors polymerization. In FtsZs, a conformational switch from R (close)- to T (open)- state favors polymerization. We identified a residue, Phe224, located at the cleft between N-terminal domain (NTD) and C-terminal domain (CTD) of SmFtsZ, which is crucial for R- to T-state transition. The mutation F224M in SmFtsZ cleft resulted in higher GTPase activity and lower CC, whereas the corresponding M225F in EcFtsZ resulted in cell division defects in E. coli. Our results demonstrate that relative rotation of the domains is a rate-limiting step of polymerization. Our structural analysis of interdomain interactions suggests that R- to T-state transition likely follows addition of a GTP-bound monomer to the filament through interaction of the preformed NTD. Hence, the addition of monomers to the NTD-exposed end of filament is slower in comparison to the C-terminal domain end, thus supporting the phenomenon of kinetic polarity in a single protofilament assembly.

biochemistry↗

Using Machine Learning Enabled Phenotyping To Characterize Nodulation In Three Early Vegetative Stages In Soybean

The symbiotic relationship between soybean [Glycine max L. (Merr.)] roots and bacteria (Bradyrhizobium japonicum) lead to the development of nodules, important legume root structures where atmospheric nitrogen (N2) is fixed into bio-available ammonia (NH3) for plant growth and development. With the recent development of the Soybean Nodule Acquisition Pipeline (SNAP), nodules can more easily be quantified and evaluated for genetic diversity and growth patterns across unique soybean root system architectures. We explored six diverse soybean genotypes across three field year combinations in three early vegetative stages of development and report the unique relationships between soybean nodules in the taproot and non-taproot growth zones of diverse root system architectures of these genotypes. We found unique growth patterns in the nodules of taproots showing genotypic differences in how nodules grew in count, size, and total nodule area per genotype compared to non-taproot nodules. We propose that nodulation should be defined as a function of both nodule count and individual nodule area resulting in a total nodule area per root or growth regions of the root. We also report on the relationships between the nodules and total nitrogen in the seed at maturity, finding a strong correlation between the taproot nodules and final seed nitrogen at maturity. The applications of these findings could lead to an enhanced understanding of the plant-Bradyrhizobium relationship, and exploring these relationships could lead to leveraging greater nitrogen use efficiency and nodulation carbon to nitrogen production efficiency across the soybean germplasm. Core IdeasO_LIThe growth and development of soybean nodules on the taproot and non-taproots have unique growth and development patterns. C_LIO_LIIn general, taproot nodules increase in area, while non-taproot nodules increase in count and area. C_LIO_LINodulation should be defined by the total nodule area as a function of both nodule count and individual nodule size. C_LIO_LIGenotypes adjust their nodulation through either increasing nodule count or nodule size to increase the total nodule area per root between each growth stage. C_LIO_LIThere is a strong correlation between early growth stage taproot nodules and final seed nitrogen content. C_LI

plant biology↗

Distinct Activation Mechanisms Regulate Subtype Selectivity of Cannabinoid Receptors

Cannabinoid receptors (CB1 and CB2) are important drug targets for inflammation, obesity, and other central nervous system disorders. However, due to sequence and structural similarities of the ligand binding pockets of these receptors, most of the ligands lack subtype selectivity and cause off-target side effects. CB2 selective agonists can potentially treat pain and inflammation without the psychoactive effects of CB1 agonism. We hypothesize that the subtype selectivity of designed selective ligands can be explained by ligand binding to the conformationally distinct states between CB1 and CB2. To find these conformationally distinct states, we perform [~] 700s of unbiased simulations to study the activation mechanism of both the receptors in absence of ligands. The simulation datasets of two receptors were analyzed using Markov state models to identify similarities and distinctions of the major conformational changes associated with activation and allosteric communication between them. Specifically, toggle switch residue movement and its effect on receptor activation differ greatly between CB1 and CB2. Upon further analysis, we discretize the conformational ensembles of both receptors into metastable states using the neural network-based VAMPnets. Structural and dynamic comparisons of these metastable states allow us to decipher a coarse-grained view of protein activation by revealing sequential conversion between these states. Specifically, we observe the difference in the binding pocket volume of different metastable states of CB1, whereas there are minimal changes observed in the CB2. Docking analysis reveals that differential binding pocket volume leads to distinct binding poses and docking affinities of CB2 selective agonists in CB1. Only a few of the intermediate metastable states of CB1 shows high affinity towards CB2 selective agonists. On the other hand, all the CB2 metastable states show a similar affinity for CB2 selective agonists, explaining these ligands overall higher affinity towards CB2. Overall, this computational study mechanistically explains the subtype selectivity of CB2 selective ligands by deciphering the activation mechanism of cannabinoid receptors.

biophysics↗

Cryo-EM-based structural insights into supramolecular assemblies of γ-Hemolysin from Staphylococcus aureus reveal the pore formation mechanism.

{gamma}-hemolysin ({gamma}-HL) is a hemolytic and leukotoxic bicomponent {beta}-pore-forming toxin ({beta}-PFT), a potent virulence factor from Staphylococcus aureus Newman strain. In this study, we performed single particle cryo-EM of {gamma}-HL in a lipid environment. We observed clustering and square lattice packing of octameric HlgAB pores upon membrane bilayer, and an octahedral superassembly of octameric pore complexes, that we resolved at resolution 3.5 [A]. Our atomic model further demonstrated the key residues involved in hydrophobic zipping between the rim domains of adjacent octameric pore complexes, thus providing first evidence of additional structural stability in PFTs upon membrane lysis. We also observed lipid densities at the octahedral and octameric interfaces, providing critical insights into the lipid-binding residues involved for both HlgA and HlgB components. Furthermore, the hitherto elusive N-terminal region of HlgA has also been resolved in our cryo-EM map and an overall mechanism of pore formation for bicomponent {beta}-PFTs is proposed.

biophysics↗

Cryo-EM reveals the membrane binding phenomenon of EspB, a virulence factor of the Mycobacterial Type VII secretion system

Mycobacterium tuberculosis utilizes sophisticated machinery called the type VII secretion system to translocate virulence factors across its complex lipid membrane. ESX-1 is one of the essential and well-studied secretion systems which transport various virulence factors, including EspB. EspB, a ~36 kDa secreted substrate, has been implicated to play vital role in protecting the bacteria from hostile environment within the host cell phagosome. It is also involved in bacterial pathogenesis and has been shown to bind phospholipids. Recently, two cryo-EM structures of EspB full-length and the secreted isoforms were resolved. Despite the availability of multiple high-resolution structures of EspB, the physiological relevance and mechanism of virulence of this secreted substrate remains poorly characterized. In this current work, we implemented cryo-EM-based structural studies, including various functional assays, TEM imaging, and biophysical approach to demonstrate the interaction of EspB with lipids and bio-membrane. Our findings also indicated that EspB may play a crucial role in binding to and rupturing host mitochondrial membrane. Through cryo-EM studies we were able to show the possible membrane-binding region of EspB. Our study sheds light on host-pathogen interactions and bacterial pathogenesis mediated by EspB.

biophysics↗

Prioritizing landscapes to reconcile biodiversity conservation, ecosystem services, and human well-being in India

Biodiversity conservation and human well-being are tightly interlinked; yet mismatches in the scale at which both priorities are planned and implemented have exacerbated biodiversity loss, erosion of ecosystem services, and declining human quality of life. India houses the second largest human population on the planet, while <5% of the countrys land area is effectively protected for conservation. This warrants landscape-level conservation planning through a judicious mix of land-sharing and land-sparing approaches, and co-production of ecosystem services. Through a multi-faceted assessment, we prioritize spatial extents of land parcels that, in the face of anthropogenic threats, can safeguard conservation landscapes across Indias biogeographic zones. We find that only a fraction (~15%) of such priority areas identified here are encompassed under Indias extant PA network, and several landscapes of high importance were omitted in all previous global-scale assessments. We then examined the spatial congruence of priority areas with administrative units earmarked for economic development by the Indian government, and propose management-zoning through state-driven and participatory approaches. Our spatially explicit insights can help meet the twin goals of biodiversity conservation and sustainable development in India and other countries across the Global South.

ecology↗

Probabilistic axon targeting dynamics lead to individualized brain wiring

Developmental variation in brain-wiring contributes to behavioural individuality1,2. However, how and when individualized wiring diagrams emerge and become stable during development remains largely unknown. Here, we explored axon targeting dynamics in individual brains using live-imaging of a developing Drosophila visual circuit and discovered that targeting choice is an algorithmic multi-step growth process with variable outcomes. Using optogenetics, we found that temporally restricted Notch lateral-inhibition defines a subset of neurons with a probabilistic potential to innervate distal targets. Next, axons from NotchOFF neurons amplify into long actin-rich multi-fibre structures necessary for distal growth. A subset of these NotchOFF neurons create distal targeting axons by stabilizing microtubule growth in one of their actin fibres. Amplified axons without tubulin-stabilized fibres retract, resulting in the stochastic selection of a different number of distal targeting axons in each brain. Pharmacological microtubule destabilization suffices to inhibit this targeting. We observed a similar axonal amplification-stabilization process in the developing chick spinal cord, suggesting a conserved mechanism. Finally, early microtubule patterns predict the adult brain-wiring of an individual in a target-independent manner prior to synapse formation3,4. Thus, we show that a temporal succession of genetically encoded stochastic processes explains the emergence of individual wiring variation. One-Sentence SummaryThe temporal succession of stochastic developmental processes explains the emergence of individual wiring variation.

neuroscience↗

Predicting scale-dependent chromatin polymer properties from systematic coarse-graining

Simulating chromatin is crucial for predicting genome organization and dynamics. Even though coarse-grained bead-spring polymer models are commonly used to describe chromatin, the relevant bead dimensions, elastic properties, and the nature of inter-bead potentials are unknown. Using publicly available nucleosome-resolution contact probability (Micro-C) data, we systematically coarse-grain chromatin and predict quantities essential for polymer representation of chromatin. We compute size distributions of chromatin beads for different coarse-graining scales, quantify fluctuations and distributions of bond lengths between neighboring regions, and derive effective spring constant values. Unlike the prevalent notion, our findings argue that coarse-grained chromatin beads must be considered as soft particles that can overlap, and we derive an effective inter-bead soft potential and quantify an overlap parameter. We also compute angle distributions between neighboring bonds giving insights into intrinsic folding and local bendability of chromatin. While the nucleosome-linker DNA bond angle naturally emerges from our work, we show that there are two populations of local structural states. The bead sizes, bond lengths, and bond angles show different mean behavior at Topologically Associating Domain (TAD) boundaries and TAD interiors. We integrate our findings into a coarse-grained polymer model and provide quantitative estimates of all model parameters, which can serve as a foundational basis for all future coarse-grained chromatin simulations.

biophysics↗