Biology subjects

Parthasarathy, R.

Publications and source records attributed to Parthasarathy, R..

At least 19 recordsLinked to original sources

bioRxiv2026

Social modulation of activity and orientation fosters complex interactions in young zebrafish

Zebrafish are an important model organism for investigating collective behavior and neuropsychiatric disorders due to attributes such as fast development, high genetic homology with humans and a rich behavioral repertoire. Social behavior in zebrafish emerges as early as twelve days post-fertilization, building toward diverse, coordinated, and complex adult interactions. Most studies on social phenotypes, including in zebrafish, have focused on adult animals and assess isolated traits such as aggression, boldness, or social memory, leaving the critical period of early development when sociality emerges and the mechanisms underlying social behavior establishment largely unexplored. We present here a behavior analysis pipeline that identifies features describing general locomotion and social behavior based on simple geometric criteria. We apply this analysis to pairs of freely interacting two-week-old zebrafish and characterize nascent social preference. We find that young zebrafish favor a specific range of inter-fish distances, creating a social space characterized by specific modulation of locomotion features. Through quantitative analysis and modeling, we show that this proximity behavior is largely established through a turning bias toward counterparts and a socially induced suppression of the variance in turning angles over broader ranges of inter-fish distances. Furthermore, we describe how proximity fosters engagement by young zebrafish in transient, complex short-range physical interactions that include various forms of inter-fish contacts, reminiscent of patterns described in adult animals. Our approach has broad applications for understanding the ontogeny of sociality and collective behaviors and describing subtle phenotypes associated with various human disorders.

animal behavior and cognition↗

bioRxiv2026

Imaging the impact of rotifer consumption on bacterial behaviors in the zebrafish gut

The gut microbiota influence many aspects of their hosts health and physiology including the digestion of food, and food intake in turn influences the composition of the gut microbiome. However, the ways in which food can alter the behavior of intestinal bacteria remain largely unknown, due in large part to the difficulty of assessing behavior in situ. Larval zebrafish provide a model for addressing this gap because of their optical transparency and their ability to be prepared germ-free and then associated with specific microbial species. Using light sheet fluorescence microscopy to visualize bacteria inside the intestines of live zebrafish larvae, we examine the properties of two commensal strains with markedly different physical characteristics. One is a zebrafish-commensal Enterobacter species that forms large aggregates in unfed larvae, and the other is a pathobiont Vibrio species that is motile and planktonic. Following host consumption of rotifers, a common food, Enterobacter clusters disintegrate into motile individuals. Vibrio remains planktonic in fed larvae but decreases the activity of its Type VI Secretion System, leading to a strong decrease in damage to host tissue. Our results reveal that feeding can have major impacts on bacterial behavior that should be considered in models of normal gut microbiome dynamics as well as pathogenesis.

microbiology↗

bioRxiv2025

Characterizing trajectories of innate immune cells in larval zebrafish

It is well established from in vitro studies of immune cells that stimulation by a wide range of potential signals leads to motility and morphology changes. How these physical behaviors manifest inside a living animal remains unclear due to limitations of conventional imaging and analysis approaches. Here, we establish a quantitative framework for imaging and tracking neutrophil and macrophage dynamics in larval zebrafish, spanning a large fraction of the animal for multi-hour timescales with few-minute temporal resolution. We focus especially on the gut, examining innate immune responses to different preparations of the intestinal microbiome. Using light sheet fluorescence microscopy and trajectory analysis of hundreds of individual cells, we characterize speeds, directional persistence measures, and cellular morphology to reveal distinct population behaviors. Individual immune cells exhibit stable motility phenotypes, favoring predominantly motile or non-motile states rather than frequent transitions between them. Gut architecture constrains migration patterns as demonstrated by preferential anterior-posterior movement and a high probability of cells remaining in the vicinity of the gut throughout the imaging duration. Macrophages display significantly reduced sphericity during motile periods compared to non-motile periods, providing a morphological signature that may enable inference of dynamic behavior from static snapshots. Surprisingly, migration patterns remain consistent across diverse microbial conditions - germ-free, conventionally reared, and colonized by two strains of a zebrafish-native Vibrio species - indicating that tissue structure exerts a stronger influence than bacterial stimuli on immune surveillance dynamics. Previously observed tissue damage by the wild-type Vibrio strain, and the resulting recruitment of immune cells towards the damage site, provided the only microbe-specific cellular behavior. These findings reveal innate immune surveillance as a stereotyped process whose characteristics reflect both cellular decision-making and larger-scale anatomical structure.

biophysics↗

bioRxiv2024

UV-irradiated rotifers for the maintenance of gnotobiotic zebrafish larvae

Host-associated microbial communities profoundly impact the health of humans and other animals. Zebrafish have proven to be a useful model for uncovering mechanisms of host-microbe interactions, but the difficulty of maintaining germ-free or gnotobiotic zebrafish beyond one week post-fertilization has limited their utility. To address this, we have developed a simple protocol using ultraviolet (UV) irradiation of rotifers, a common and nutrient-rich prey species for larval zebrafish, to reduce the bacterial load associated with the rotifers by several orders of magnitude while maintaining their motility and viability. We find that though feeding with UV-treated rotifers does not preserve the sterility of germ-free fish, it enables the maintenance of pre-existing bacterial communities. Normal feeding, in striking contrast, leads to the near total depletion of these prior populations. We measure the abundance of single- and three-species consortia of zebrafish-commensal bacteria inoculated into initially germ-free larvae in a series of experiments extending to 8 days of feeding, or 13 days post-fertilization. We find, in fish fed UV-treated rotifers, persistence of bacterial populations on timescales of days, together with strong species-specific variation. In addition, re-inoculation of differently labeled strains of the same zebrafish-commensal species alongside feeding leads to colonization by the new bacteria without displacement of earlier microbes. Our method will facilitate the use of gnotobiotic zebrafish for investigations of phenomena that emerge later in animal development and for studies that probe microbiome composition fluctuations and stability over extended timescales.

microbiology↗

bioRxiv2024

Bacterial Modulation of Intestinal Motility through Macrophage Redistribution

Intestinal microbes, whether resident or transient, influence the physiology of their hosts, altering both the chemical and the physical characteristics of the gut. An example of the latter is the human pathogen Vibrio choleraes ability to induce strong mechanical contractions, discovered in zebrafish. The underlying mechanism has remained unknown, but the phenomenon requires the actin crosslinking domain (ACD) of Vibrios Type VI Secretion System (T6SS), a multicomponent protein syringe that pierces adjacent cells and delivers toxins. By using a zebrafish-native Vibrio and imaging-based assays of host intestinal mechanics and immune responses, we find that macrophages mediate the connection between the T6SS ACD and intestinal activity: ACD-dependent tissue damage activates macrophages and recruits them from their unperturbed positions near enteric neurons lining the midgut, spurring strong gut contractions resembling those resulting from genetic depletion of macrophages. In addition to illuminating host-directed actions of the widespread T6SS protein apparatus, our findings highlight how localized bacteria-induced injury can reshape neuro-immune cellular dynamics to impact whole-organ physiology.

microbiology↗

bioRxiv2022

A mucin-regulated adhesin determines the intestinal biogeography and inflammatory character of a bacterial symbiont.

In a healthy gut, microbes are often aggregated with host mucus, yet the molecular basis for this organization and its impact on intestinal health are unclear. Mucus is a viscous physical barrier separating resident microbes from epithelia, but also provides glycan cues that regulate microbial behaviors. Using experimental evolution, we discovered a mucin-sensing pathway in an Aeromonas symbiont of zebrafish, Aer01. In response to the mucin-associated glycan N-acetylglucosamine, a sensor kinase regulates expression of a mucin-binding adhesin we named MbpA. When MbpA is disrupted, Aer01 colonizes to normal levels, but is largely planktonic and elicits increased intestinal inflammation, traits which are reversed by increasing cell surface MpbA. MbpA-like adhesins are common in human-associated bacteria and expression of an Akkermansia muciniphila MbpA-like adhesin in MbpA-deficient Aer01 restored lumenal aggregation and reversed its pro-inflammatory character. Our work demonstrates how resident bacteria use mucin glycans to modulate behaviors congruent with host health.

microbiology↗

bioRxiv2022

Disaggregation as an interaction mechanism among intestinal bacteria

The gut microbiome contains hundreds of interacting species that together influence host health and development. The mechanisms by which intestinal microbes can interact, however, remain poorly mapped and are often modeled as spatially unstructured competitions for chemical resources. Recent imaging studies examining the zebrafish gut have shown that patterns of aggregation are central to bacterial population dynamics. In this study, we focus on bacterial species of genera Aeromonas and Enterobacter. Two zebrafish gut derived isolates, Aeromonas ZOR0001 (AE) and Enterobacter ZOR0014 (EN), when mono-associated with the host, are highly aggregated and located primarily in the intestinal midgut. An Aeromonas isolate derived from the commensal strain, Aeromonas-MB4 (AE-MB4), differs from the parental strain in that it is composed mostly of planktonic cells localized to the anterior gut. When challenged by AE-MB4, clusters of EN rapidly fragment into non-motile, slow-growing, dispersed individual cells with overall abundance two orders of magnitude lower than the mono-association value. In the presence of a certain set of additional gut bacterial species, these effects on EN are dampened. In particular, if AE-MB4 invades an already established multi-species community, EN persists in the form of large aggregates. These observations reveal an unanticipated competition mechanism based on manipulation of bacterial spatial organization, namely dissolution of aggregates, and provide evidence that multi-species communities may facilitate stable intestinal co-existence. SignificanceThe diverse microbial communities inhabiting vertebrate intestines influence many aspects of their hosts health and development. The rules governing community assembly and even the types of interactions that are possible among gut microbes remain poorly understood, however, with the role of spatial aggregation in interspecies dynamics being especially unclear. To address this, we performed live imaging studies of the larval zebrafish gut, focusing on two spatially distinct bacterial species that exhibit strong competition, discovering that the latter can induce a striking, rapid disintegration of aggregates of the former. This competition is attenuated in the presence of a particular set of additional bacterial species. Our findings reveal an unanticipated interaction mechanism and highlight that diverse communities may stabilize the gut microbiome.

microbiology↗

bioRxiv2022

A microbiota membrane disrupter disseminates to the pancreas and increases β-cell mass

Microbiome dysbiosis is a feature of diabetes, but how microbial products influence insulin production is poorly understood. Here we report the mechanism of BefA, a microbiome-derived protein that increases proliferation of insulin-producing {beta}-cells during pancreatic development in gnotobiotic zebrafish and mice. BefA disseminates systemically via multiple anatomic routes to act directly on pancreatic islets. We report the structure of BefA, containing a lipid-binding SYLF domain, and demonstrate that it permeabilizes synthetic liposomes and bacterial membranes. A BefA mutant impaired in membrane disruption fails to expand {beta}-cells whereas the pore-forming host defense protein, Reg3, stimulates {beta}-cell proliferation. Our work demonstrates that membrane permeabilization by microbiome-derived and host defense proteins is necessary and sufficient for {beta}-cell expansion during pancreas development, thereby connecting microbiome composition with diabetes risk.

molecular biology↗

bioRxiv2021

Assessing the use of ellipsoidal microparticles for determining lipid membrane viscosity

The viscosity of lipid membranes sets the timescales of membrane-associated flows and therefore influences the dynamics of a wide range of cellular processes. Techniques to measure membrane viscosity remain sparse, however, and reported measurements to date, even of similar systems, give viscosity values that span orders of magnitude. To address this, we improve a method based on measuring both the rotational and translational diffusion of membrane-anchored microparticles and apply this approach and one based on tracking the motion of phase-separated lipid domains to the same system of phase-separated giant vesicles. We find good agreement between the two methods, with inferred viscosities within a factor of two of each other. Our technique uses ellipsoidal microparticles, and we show that the extraction of physically meaningful viscosity values from their motion requires consideration of their anisotropic shape. The validation of our method on phase-separated membranes makes possible its application to other systems, which we demonstrate by measuring the viscosity of bilayers composed of lipids with different chain lengths ranging from 14 to 20 carbon atoms, revealing a very weak dependence of two-dimensional viscosity on lipid size. The experimental and analysis methods described here should be generally applicable to a variety of membrane systems, both reconstituted and cellular. Statement of SignificanceThe lipid bilayers that underlie cellular membranes are two-dimensional fluids whose viscosity sets timescales of flow. Lipid membrane viscosity remains poorly quantified, with a paucity of methods and considerable disagreement between values reported using different techniques. We describe a method based on measuring the Brownian diffusion of ellipsoidal microparticles which we apply to phase-separated membranes alongside a previously established method for determining membrane viscosity, finding good agreement between the two techniques. We further examine homogenous membranes composed of lipids with different chain lengths, not amenable to phase-separationbased methods, revealing a very weak dependence of viscosity on lipid size. Our approach should be applicable to a wide range of membrane systems, both in vitro and in living cells.

biophysics↗

bioRxiv2021

Gut bacterial aggregates as living gels

The spatial organization of gut microbiota influences both microbial abundances and host-microbe interactions, but the underlying rules relating bacterial dynamics to large-scale structure remain unclear. To this end we studied experimentally and theoretically the formation of three-dimensional bacterial clusters, a key parameter controlling susceptibility to intestinal transport and access to the epithelium. Inspired by models of structure formation in soft materials, we sought to understand how the distribution of gut bacterial cluster sizes emerges from bacterial-scale kinetics. Analyzing imaging-derived data on cluster sizes for eight different bacterial strains in the larval zebrafish gut, we find a common family of size distributions that decay approximately as power laws with exponents close to -2, becoming shallower for large clusters in a strain-dependent manner. We show that this type of distribution arises naturally from a Yule-Simons-type process in which bacteria grow within clusters and can escape from them, coupled to an aggregation process that tends to condense the system toward a single massive cluster, reminiscent of gel formation. Together, these results point to the existence of general, biophysical principles governing the spatial organization of the gut microbiome that may be useful for inferring fast-timescale dynamics that are experimentally inaccessible.

microbiology↗

bioRxiv2020

Quantifying multi-species microbial interactions in the larval zebrafish gut

The microbial communities resident in animal intestines are composed of multiple species that together play important roles in host development, health and disease. Due to the complexity of these communities and the difficulty of characterizing them in situ, the determinants of microbial composition remain largely unknown. Further, it is unclear for many multi-species consortia whether their species-level makeup can be predicted based on an understanding of pairwise species interactions, or whether higher-order interactions are needed to explain emergent compositions. To address this, we examine commensal intestinal microbes in larval zebrafish, initially raised germ-free to allow introduction of controlled combinations of bacterial species. Using a dissection and plating assay, we demonstrate the construction of communities of one to five bacterial species and show that the outcomes from the two-species competitions fail to predict species abundances in more complex communities. With multiple species present, inter-bacterial interactions become weaker and more cooperative, suggesting that higher-order interactions in the vertebrate gut may stabilize complex communities.

microbiology↗

bioRxiv2019

Swimming motility and chemotaxis control the spatial organization, persistence, and inflammatory activity of a model intestinal pathobiont

Understanding the processes that spatially restrict resident gut bacteria and the mechanisms by which disease-causing pathobionts escape this control will open new avenues for microbiome-based therapies. Using live imaging and genetically engineered bacteria, we discovered that flagella-based swimming motility and chemotaxis enable a model Vibrio pathobiont to govern its own spatial organization within the larval zebrafish gut and to persist in the face of the disruptive forces of intestinal flow. Bacterial mutants lacking motility traits became aggregated and lumenally confined, making them susceptible to periodic expulsion from the host. Consequently, non-motile and non-chemotactic mutants experienced large fluctuations in absolute abundance and impaired interbacterial competition. Further, we found that motile bacterial cells induce expression of the proinflammatory cytokine TNF in gut-associated macrophages and the liver. Using inducible genetic switches, we demonstrate that swimming motility can be manipulated in situ to modulate the spatial organization, persistence, and inflammatory activity of gut bacteria.

microbiology↗

bioRxiv2019

Low-dose antibiotics can collapse gut bacterial populations via a gelation transition

Antibiotics can profoundly alter the intestinal microbiome even at the sublethal concentrations often encountered through environmental contamination. The mechanisms by which low-dose antibiotics induce large yet highly variable changes in gut communities have remained elusive. We therefore investigated the impact of antibiotics on intestinal bacteria using larval zebrafish, whose experimental tractability enables high-resolution in vivo examination of response dynamics. Live imaging revealed that sublethal doses of the common antibiotic ciprofloxacin lead to severe drops in bacterial abundance, coincident with changes in spatial organization that increase susceptibility to intestinal expulsion. Strikingly, our data can be mapped onto a physical model of living gels that links bacterial aggregation and expulsion to nonequilibrium abundance dynamics, providing a framework for predicting the impact of antibiotics on the intestinal microbiome.

microbiology↗

bioRxiv2018

Bacterial cohesion predicts spatial distribution in the larval zebrafish intestine

Are there general biophysical relationships governing the spatial organization of the gut microbiome? Despite growing realization that spatial structure is important for population stability, inter-bacterial competition, and host functions, it is unclear in any animal gut whether such structure is subject to predictive, unifying rules, or if it results from contextual, species-specific behaviors. To explore this, we used light sheet fluorescence microscopy to conduct a high-resolution comparative study of bacterial distribution patterns throughout the entire intestinal volume of live, larval zebrafish. Fluorescently tagged strains of seven bacterial symbionts, representing six different species native to zebrafish, were each separately mono-associated with animals that had been raised initially germ-free. The strains showed large differences in both cohesion--the degree to which they auto-aggregate--and spatial distribution. We uncovered a striking correlation between each strains mean position and its cohesion, whether quantified as the fraction of cells existing as planktonic individuals, the average aggregate size, or the total number of aggregates. Moreover, these correlations held within species as well; aggregates of different sizes localized as predicted from the pan-species observations. Together, our findings indicate that bacteria within the zebrafish intestine are subject to generic processes that organize populations by their cohesive properties. The likely drivers of this relationship, peristaltic fluid flow, tubular anatomy, and bacterial growth and aggregation kinetics, are common throughout animals. We therefore suggest that the framework introduced here, of biophysical links between bacterial cohesion and spatial organization, should be useful for directing explorations in other host-microbe systems, formulating detailed models that can quantitatively map onto experimental data, and developing new tools that manipulate cohesion to engineer microbiome function.

microbiology↗

bioRxiv2018

Automated High-Throughput Light-Sheet Fluorescence Microscopy of Larval Zebrafish

AO_SCPCAPBSTRACTC_SCPCAPLight sheet fluorescence microscopy enables fast, minimally phototoxic, three-dimensional imaging of live specimens, but is currently limited by low throughput and tedious sample preparation. Here, we describe an automated high-throughput light sheet fluorescence microscope in which specimens are positioned by and imaged within a fluidic system integrated with the sheet excitation and detection optics. We demonstrate the ability of the instrument to rapidly examine live specimens with minimal manual intervention by imaging fluorescent neutrophils over a nearly 0.3 mm3 volume in dozens of larval zebrafish. In addition to revealing considerable inter-individual variability in neutrophil number, known previously from labor-intensive methods, three-dimensional imaging allows assessment of the correlation between the bulk measure of total cellular fluorescence and the spatially resolved measure of actual neutrophil number per animal. We suggest that our simple experimental design should considerably expand the scope and impact of light sheet imaging in the life sciences.

bioengineering↗

bioRxiv2018

Performance of convolutional neural networks for identification of bacteria in 3D microscopy datasets

Three-dimensional microscopy is increasingly prevalent in biology due to the development of techniques such as multiphoton, spinning disk confocal, and light sheet fluorescence microscopies. These methods enable unprecedented studies of life at the microscale, but bring with them larger and more complex datasets. New image processing techniques are therefore called for to analyze the resulting images in an accurate and efficient manner. Convolutional neural networks are becoming the standard for classification of objects within images due to their accuracy and generalizability compared to traditional techniques. Their application to data derived from 3D imaging, however, is relatively new and has mostly been in areas of magnetic resonance imaging and computer tomography. It remains unclear, for images of discrete cells in variable backgrounds as are commonly encountered in fluorescence microscopy, whether convolutional neural networks provide sufficient performance to warrant their adoption, especially given the challenges of human comprehension of their classification criteria and their requirements of large training datasets. We therefore applied a 3D convolutional neural network to distinguish bacteria and non-bacterial objects in 3D light sheet fluorescence microscopy images of larval zebrafish intestines. We find that the neural network is as accurate as human experts, outperforms random forest and support vector machine classifiers, and generalizes well to a different bacterial species through the use of transfer learning. We also discuss network design considerations, and describe the dependence of accuracy on dataset size and data augmentation. We provide source code, labeled data, and descriptions of our analysis pipeline to facilitate adoption of convolutional neural network analysis for three-dimensional microscopy data.\n\nAuthor summaryThe abundance of complex, three dimensional image datasets in biology calls for new image processing techniques that are both accurate and fast. Deep learning techniques, in particular convolutional neural networks, have achieved unprecedented accuracies and speeds across a large variety of image classification tasks. However, it is unclear whether or not their use is warranted in noisy, heterogeneous 3D microscopy datasets, especially considering their requirements of large, labeled datasets and their lack of comprehensible features. To asses this, we provide a case study, applying convolutional neural networks as well as feature-based methods to light sheet fluorescence microscopy datasets of bacteria in the intestines of larval zebrafish. We find that the neural network is as accurate as human experts, outperforms the feature-based methods, and generalizes well to a different bacterial species through the use of transfer learning.

microbiology↗

bioRxiv2017

The Vibrio cholerae Type VI Secretion System Can Modulate Host Intestinal Mechanics to Displace Commensal Gut Bacteria

Host-associated microbiota help defend against bacterial pathogens; the mechanisms that pathogens possess to overcome this defense, however, remain largely unknown. We developed a zebrafish model and used live imaging to directly study how the human pathogen Vibrio cholerae invades the intestine. The gut microbiota of fish mono-colonized by commensal strain Aeromonas veronii was displaced by V. cholerae expressing its Type VI Secretion System (T6SS), a syringe-like apparatus that deploys effector proteins into target cells. Surprisingly, displacement was independent of T6SS-mediated killing of Aeromonas, driven instead by T6SS-induced enhancement of zebrafish intestinal movements that led to expulsion of the resident commensal by the host. Deleting an actin crosslinking domain from the T6SS apparatus returned intestinal motility to normal and thwarted expulsion, without weakening V. cholerae's ability to kill Aeromonas in vitro. Our finding that bacteria can manipulate host physiology to influence inter-microbial competition has implications for both pathogenesis and microbiome engineering.

microbiology↗

bioRxiv2017

Modernized tools for streamlined genetic manipulation of wild and diverse symbiotic bacteria

The capacity to associate symbiotic bacteria with vital aspects of plant and animal biology is outpacing our understanding of the mechanisms shaping these interactions. A major barrier to mechanistic studies is the paucity of tools for genetically manipulating wild and diverse bacterial isolates. Solving this problem is crucial to elucidating the cellular and molecular rules that govern symbiotic relationships and ultimately harnessing them for agricultural and biomedical applications. Therefore, we constructed a series of vectors that expedite genetic knock-in and knock-out procedures across a range of bacterial lineages. This was accomplished by developing strategies for domestication-free bacterial conjugation, designing plasmids with customizable features, and streamlining allelic exchange using visual markers of homologous recombination. These tools enabled a comparative study based on live imaging of diverse bacterial symbionts native to the zebrafish intestine, with which we discovered heterogeneous colonization patterns and a striking correlation between bacterial population biogeography and cellular behavior.

genetics↗