Biology subjects

Jayaraman, V.

Publications and source records attributed to Jayaraman, V..

30 records · Page 2Linked to original sources

bioRxiv2022

Revisiting the burden borne by fumarase: enzymatic hydration of an olefin

Fumarate hydratase (FH) is a remarkable catalyst that decreases the free energy of the catalyzed reaction by 30 kcal mol-1, much larger than most exceptional enzymes with extraordinary catalytic rates. Two classes of FH are observed in nature: class-I and class-II, that have different folds, yet catalyze the same reversible hydration/dehydration reaction of the dicarboxylic acids fumarate/malate, with equal efficiencies. Using class-I FH from the hyperthermophilic archaeon Methanocaldococcus jannaschii (Mj) as a model along with comparative analysis with the only other available class-I FH structure from Leishmania major (Lm), we provide insights into the molecular mechanism of catalysis in this class of enzymes. The structure of MjFH apo-protein has been determined, revealing that large inter-subunit rearrangements occur across apo- and the holo-protein forms, with a largely preorganized active site for substrate binding. Site-directed mutagenesis of active site residues, kinetic analysis and computational studies including DFT and natural population analysis, together show that residues interacting with the carboxylate group of the substrate play a pivotal role in catalysis. Our study establishes that an electrostatic network at the active site of class-I FH, polarizes the substrate fumarate through interactions with its carboxylate groups, thereby permitting an easier addition of a water molecule across the olefinic bond. We propose a mechanism of catalysis in FH that occurs through transition state stabilization involving the distortion of the electronic structure of the substrate olefinic bond mediated by the charge polarization of the bound substrate at the enzyme active site. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=133 SRC="FIGDIR/small/506457v1_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@f2f7feorg.highwire.dtl.DTLVardef@1774e6aorg.highwire.dtl.DTLVardef@1bd180eorg.highwire.dtl.DTLVardef@1764941_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2022

Accurate angular integration with only a handful of neurons

To flexibly navigate, many animals rely on internal spatial representations that persist when the animal is standing still in darkness, and update accurately by integrating the animals movements in the absence of localizing sensory cues. Theories of mammalian head direction cells have proposed that these dynamics can be realized in a special class of networks that maintain a localized bump of activity via structured recurrent connectivity, and that shift this bump of activity via angular velocity input. Although there are many different variants of these so-called ring attractor networks, they all rely on large numbers of neurons to generate representations that persist in the absence of input and accurately integrate angular velocity input. Surprisingly, in the fly, Drosophila melanogaster, a head direction representation is maintained by a much smaller number of neurons whose dynamics and connectivity resemble those of a ring attractor network. These findings challenge our understanding of ring attractors and their putative implementation in neural circuits. Here, we analyzed failures of angular velocity integration that emerge in small attractor networks with only a few computational units. Motivated by the peak performance of the fly head direction system in darkness, we mathematically derived conditions under which small networks, even with as few as 4 neurons, achieve the performance of much larger networks. The resulting description reveals that by appropriately tuning the network connectivity, the network can maintain persistent representations over the continuum of head directions, and it can accurately integrate angular velocity inputs. We then analytically determined how performance degrades as the connectivity deviates from this optimally-tuned setting, and we find a trade-off between network size and the tuning precision needed to achieve persistence and accurate integration. This work shows how even small networks can accurately track an animals movements to guide navigation, and it informs our understanding of the functional capabilities of discrete systems more broadly.

neuroscience↗

bioRxiv2022

Maintaining a stable head direction representation in naturalistic visual environments

Many animals rely on a representation of head direction for flexible, goal-directed navigation. In insects, a compass-like head direction representation is maintained in a conserved brain region called the central complex. This head direction representation is updated by self-motion information and by tethering to sensory cues in the surroundings through a plasticity mechanism. However, under natural settings, some of these sensory cues may temporarily disappear--for example, when clouds hide the sun--and prominent landmarks at different distances from the insect may move across the animals field of view during translation, creating potential conflicts for a neural compass. We used two-photon calcium imaging in head-fixed Drosophila behaving in virtual reality to monitor the flys compass during navigation in immersive naturalistic environments with approachable local landmarks. We found that the flys compass remains stable even in these settings by tethering to available global cues, likely preserving the animals ability to perform compass-driven behaviors such as maintaining a constant heading.

neuroscience↗

bioRxiv2021

Flexible control of behavioral variability mediated by an internal representation of head direction

Anchoring goals to spatial representations enables flexible navigation in both animals and artificial agents. However, using this strategy can be challenging in novel environments, when both spatial and goal representations must be acquired quickly and simultaneously. Here, we propose a framework for how Drosophila use their internal representation of head direction to build a goal heading representation upon selective thermal reinforcement. We show that flies in a well-established operant visual learning paradigm use stochastically generated fixations and directed saccades to express heading preferences, and that compass neurons, which represent flies head direction, are required to modify these preferences based on reinforcement. We describe how flies ability to quickly map their surroundings and adapt their behavior to the rules of their environment may rest on a behavioral policy whose parameters are flexible but whose form and dependence on head direction and goal representations are genetically encoded in the modular structure of their circuits. Using a symmetric visual setting, which predictably alters the dynamics of the head direction system, enabled us to describe how interactions between the evolving representations of head direction and goal impact behavior. We show how a policy tethered to these two internal representations can facilitate rapid learning of new goal headings, drive more exploitative behavior about stronger goal headings, and ensure that separate learning processes involved in mapping the environment and forming goals within that environment remain consistent with one another. Many of the mechanisms we outline may be broadly relevant for rapidly adaptive behavior driven by internal representations.

neuroscience↗

bioRxiv2021

A counter-enzyme complex regulates glutamate metabolism in Bacillus subtilis

Multi-enzyme assemblies composed of metabolic enzymes catalyzing sequential reactions are being increasingly studied. Here, we report the discovery of a 1.6 megadalton multi-enzyme complex from Bacillus subtilis composed of two enzymes catalyzing opposite rather than sequential reactions ("counter-enzymes"): glutamate synthase (GltAB), and glutamate dehydrogenase (GudB), that make and break glutamate, respectively. In vivo and in vitro studies show that the primary role of complex formation is to inhibit GudBs activity as this enzyme is constitutively expressed including in glutamate-limiting conditions. Using cryo-electron microscopy, we elucidated the structure of the complex and the basis of GudBs inhibition. Finally, we show that this complex that exhibits unusual oscillatory progress curves is a necessity for planktonic growth in glutamate-limiting conditions, but is also essential for biofilm growth in glutamate-rich media, suggesting a regulatory role at fluctuating glutamate concentrations.

biochemistry↗

bioRxiv2020

A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selection

Flexible behaviors over long timescales are thought to engage recurrent neural networks in deep brain regions, which are experimentally challenging to study. In insects, recurrent circuit dynamics in a brain region called the central complex (CX) enable directed locomotion, sleep, and context- and experience-dependent spatial navigation. We describe the first complete electron-microscopy-based connectome of the Drosophila CX, including all its neurons and circuits at synaptic resolution. We identified new CX neuron types, novel sensory and motor pathways, and network motifs that likely enable the CX to extract the flys head-direction, maintain it with attractor dynamics, and combine it with other sensorimotor information to perform vector-based navigational computations. We also identified numerous pathways that may facilitate the selection of CX-driven behavioral patterns by context and internal state. The CX connectome provides a comprehensive blueprint necessary for a detailed understanding of network dynamics underlying sleep, flexible navigation, and state-dependent action selection.

neuroscience↗

bioRxiv2020

Single-molecule FRET monitors CLC transporter conformation and subunit independence

"CLC" transporters catalyze the exchange of chloride ions for protons across cellular membranes. As secondary active transporters, CLCs must alternately allow ion access to and from the extracellular and intracellular sides of the membrane, adopting outward-facing and inward-facing conformational states. Here, we use single-molecule Forster resonance energy transfer (smFRET) to monitor the conformational state of CLC-ec1, an E. coli homolog for which high-resolution structures of occluded and outward-facing states are known. Since each subunit within the CLC homodimer contains its own transport pathways for chloride and protons, we developed a labeling strategy to follow conformational change within a subunit, without crosstalk from the second subunit of the dimer. Using this strategy, we evaluated smFRET efficiencies for labels positioned on the extracellular side of the protein, to monitor the status of the outer permeation pathway. When [H+] is increased to enrich the outward-facing state, the smFRET efficiencies for this pair decrease. In a triple-mutant CLC-ec1 that mimics the protonated state of the protein and is known to favor the outward-facing conformation, the lower smFRET efficiency is observed at both low and high [H+]. These results confirm that the smFRET assay is following the transition to the outward-facing state and demonstrate the feasibility of using smFRET to monitor the relatively small (~1 [A]) motions involved in CLC transporter conformational change. Using the smFRET assay, we show that the conformation of the partner subunit does not influence the conformation of the subunit being monitored by smFRET, thus providing evidence for the independence of the two subunits in the transport process. SUMMARYCheng, Krishnamoorti et al. use single-molecule Forster energy resonance transfer measurements to monitor the conformation of a CLC transporter and to show that the conformational state is not influenced by the neighboring subunit.

biophysics↗

bioRxiv2020

A fast genetically encoded fluorescent sensor for faithful in vivo acetylcholine detection in mice, fish, worms and flies

Here we design and optimize a genetically encoded fluorescent indicator, iAChSnFR, for the ubiquitous neurotransmitter acetylcholine, based on a bacterial periplasmic binding protein. iAChSnFR shows large fluorescence changes, rapid rise and decay kinetics, and insensitivity to most cholinergic drugs. iAChSnFR revealed large transients in a variety of slice and in vivo preparations in mouse, fish, fly and worm. iAChSnFR will be useful for the study of acetylcholine in all animals.

neuroscience↗

bioRxiv2019

The neuroanatomical ultrastructure and function of a biological ring attractor

Neural representations of head direction have been discovered in many species. A large body of theoretical work has proposed that the dynamics associated with these representations is generated, maintained, and updated by recurrent network structures called ring attractors. We performed electron microscopy-based circuit reconstruction and RNA profiling of identified cell types in the heading direction system of Drosophila melanogaster to directly determine the underlying neural network. We identified network motifs that have been hypothesized to maintain the heading representation in darkness, update it when the animal turns, and tether it to visual cues. Functional studies provided additional support for the proposed roles of individual circuit elements. We also discovered recurrent connections between neuronal arbors with mixed pre- and post-synaptic specializations. Overall, our results confirm that the Drosophila heading direction network contains the core components of a ring attractor while also revealing unpredicted structural features that might enhance the networks computational power.

neuroscience↗

bioRxiv2018

On the adaptive behavior of head-fixed flies navigating in two-dimensional, visual virtual reality

A navigating animals sensory experience is shaped not just by its surroundings, but by its movements within them, which in turn are influenced by its past experiences. Studying the intertwined roles of sensation, experience and directed action in navigation has been made easier by the development of virtual reality (VR) environments for head-fixed animals, which allow for quantitative measurements of behavior in well-controlled sensory conditions. VR has long featured in studies of Drosophila melanogaster, but these experiments have typically relied on one-dimensional (1D) VR, effectively allowing the fly to change only its heading in a visual scene, and not its position. Here we explore how flies navigate in a two-dimensional (2D) visual VR environment that more closely resembles their experience during free behavior. We show that flies interaction with landmarks in 2D environments cannot be automatically derived from their behavior in simpler 1D environments. Using a novel paradigm, we then demonstrate that flies in 2D VR adapt their behavior in a visual environment in response to optogenetically delivered appetitive and aversive stimuli. Much like free-walking flies after encounters with food, head-fixed flies respond to optogenetic activation of sugar-sensing neurons by initiating a local search behavior. Finally, by pairing optogenetic activation of heat-sensing cells to the flies presence near visual landmarks of specific shapes, we elicit selective learned avoidance of landmarks associated with aversive \"virtual heat\". These head-fixed paradigms set the stage for an interrogation of fly brain circuitry underlying flexible navigation in complex visual environments.

animal behavior and cognition↗

bioRxiv2018

High-performance GFP-based calcium indicators for imaging activity in neuronal populations and microcompartments

Calcium imaging with genetically encoded calcium indicators (GECIs) is routinely used to measure neural activity in intact nervous systems. GECIs are frequently used in one of two different modes: to track activity in large populations of neuronal cell bodies, or to follow dynamics in subcellular compartments such as axons, dendrites and individual synaptic compartments. Despite major advances, calcium imaging is still limited by the biophysical properties of existing GECIs, including affinity, signal-to-noise ratio, rise and decay kinetics, and dynamic range. Using structure-guided mutagenesis and neuron-based screening, we optimized the green fluorescent protein-based GECI GCaMP6 for different modes of in vivo imaging. The jGCaMP7 sensors provide improved detection of individual spikes (jGCaMP7s,f), imaging in neurites and neuropil (jGCaMP7b), and tracking large populations of neurons using 2-photon (jGCaMP7s,f) or wide-field (jGCaMP7c) imaging.

neuroscience↗

bioRxiv2017

Biochemical characterization and essentiality of Plasmodium fumarate hydratase

Plasmodium falciparum (Pf), the causative agent of malaria has an iron-sulfur cluster-containing class I fumarate hydratase (FH) that catalyzes the interconversion of fumarate to malate, a well-known reaction in the tricarboxylic acid cycle. In humans, the same reaction is catalyzed by class II FH that has no sequence or structural homology with the class I enzyme. Fumarate, generated in large quantities in the parasite as a byproduct of AMP synthesis is converted to malate by the action of FH, and subsequently used in the generation of the key metabolites oxaloacetate, aspartate and pyruvate. Here we report on the kinetic characterization of purified recombinant PfFH, functional complementation of fh deficiency in Escherichia coli and mitochondrial localization in the parasite. The substrate analog, mercaptosuccinic acid was found to be a potent inhibitor of PfFH with a Ki value in the nanomolar range. Knockout of the fh gene was not possible in P. berghei when drug-selection of the transfectants was performed in BALB/c mice while the gene was amenable to knockout when C57BL/6 mice were used as host, thereby indicating mouse-strain dependent essentiality of the fh gene to the parasite.

biochemistry↗