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Biology subjects

Brown, A. E. X.

Publications and source records attributed to Brown, A. E. X..

13 recordsLinked to original sources

A Neuronally Active Bacterial Siderophore Manipulates Host Behavior and Longevity

Aging populations face a growing burden of neurodegenerative disease and behavioral decline. The microbiota is increasingly implicated in host physiology, highlighting an urgent need to understand how gut microbes modulate brain function and late life health. Here, we develop a high-throughput microbe-host screening platform to systematically dissect how bacterial genes shape organismal behavior. Using the Escherichia coli Keio library of 3,985 distinct non-essential single-gene deletion mutants in combination with Caenorhabditis elegans, we quantitatively profiled 768 behavioral features per bacterial clone and uncovered a coherent module of bacterial genes involved in iron homeostasis that robustly reprogrammed host behavior. Bacterial omics analyses revealed that alterations in iron homeostasis amplify siderophore production in a TCA cycle-dependent manner, and loss of enterobactin biosynthesis abolished the bacteria-induced changes in worm movement. Transcriptional, molecular and functional studies demonstrated that bacterial enterobactin activates host neuromuscular responses to shape both lifespan and healthspan in a manner dependent on the mitochondrial unfolded protein response. Thermal proteome profiling identified mitochondrial glutaryl-CoA dehydrogenase and the electron-transfer flavoproteins A and B as enterobactin-binding targets that control mitochondrial function. Finally, genetic manipulation of neuronal mitochondrial and cytosolic reactive oxygen species via superoxide dismutase and catalase revealed that redox state modulates enterobactin-driven changes in movement and lifespan through the secretin-family GPCR neuropeptide receptor PDFR-1. Together, these findings establish microbial enterobactin as a non-canonical neurotransmitter regulating neuronal mitochondrial function, behavior and aging, defining a gut bacteria-brain axis with broad implications for maintaining late-life health.

animal behavior and cognition↗

The C. elegans gustatory receptor homolog LITE-1 is a chemoreceptor required for diacetyl avoidance

The nematode C. elegans does not have eyes but can respond to aversive UV and blue light stimulation and even distinguish colours. The gustatory receptor homolog LITE-1 was identified in forward genetic screens for worms that failed to respond to blue light stimulation. When LITE-1 is expressed in body-wall muscles, it causes contraction in response to blue light suggesting that LITE-1 is both necessary and sufficient for blue light response. Here we show that in addition to light avoidance, LITE-1 is also required for worms avoidance of high concentrations of diacetyl, an odorant that is attractive at low concentrations. Like blue light, diacetyl causes muscle contraction in transgenic worms engineered to express LITE-1 in body-wall muscles. These data are consistent with a direct chemoreceptor function for LITE-1 which would make it a multimodal sensor of aversive stimuli.

neuroscience↗

Screening conditions and constructs for attempted genetic transformation of C. elegans by Agrobacterium

Manipulating gene expression within a model organism is important for reverse genetic experimentation, and while techniques to generate transgenic C. elegans are available, they are optimised for creating individual lines. The ability to create libraries of genetically modified animals using C. elegans as a model would make new types of experiments possible and would speed up studies of animal physiology. Here, we describe a range of constructs designed to establish a high-throughput method of C. elegans transformation mediated by gene transfer from Agrobacterium. We demonstrate that C. elegans are able to survive on Agrobacterium as a sole food source, and screen conditions for Agrobacterium-mediated transformation in this organism. While we do not achieve routine gene transfer from Agrobacterium to C. elegans, we suggest that this technique has potential following further optimization. The success of the approach would enable rapid and high-throughput transformation of C. elegans, providing an improvement on currently available methods. Here we provide details of optimization conditions tested, and a useful resource of T-binary constructs for use by the scientific community.

bioengineering↗

High-throughput behavioural phenotyping of 25 C. elegans disease models including patient-specific mutations

Genetic diagnosis is fast and cheap, challenging our capacity to evaluate the functional impact of novel disease-causing variants or identify potential therapeutics. Model organisms including C. elegans present the possibility of systematically modelling genetic diseases, yet robust, high-throughput methods have been lacking. Here we show that automated multi-dimensional behaviour tracking can detect phenotypes in 25 new C. elegans disease models spanning homozygous loss-of-function alleles and patient-specific single-amino-acid substitutions. We find that homozygous loss-of-function (LoF) mutants across diverse genetic pathways (including BORC, FLCN, and FNIP-2) exhibit strong, readily detectable abnormalities in posture, locomotion, and stimulus responses compared to wild-type animals. An smc-3 mutant strain--modelled by introducing a patient-identified missense change--causes developmental anomalies and distinct behavioural profiles even though complete loss of SMC-3 is lethal. In contrast, patient-derived missense mutations in another essential gene, tnpo-2, did not show a strong phenotype initially but it could be "sensitized" chemically (e.g., with aldicarb), potentially facilitating future drug screens. Our findings show that scalable behavioural phenotyping can capture a wide range of mutant effects--from strong to subtle--in patient-avatar worm lines. We anticipate that this standardized approach will enable systematic drug repurposing for rare genetic disorders as new disease variants are discovered.

animal behavior and cognition↗

Rebalancing the motor circuit restores movement in a Caenorhabditis elegans model for TDP-43-toxicity

Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia are caused by the abnormal accumulation of TAR DNA-binding protein 43 (TDP-43) in the cytoplasm of neurons. How TDP-43 accumulation leads to disease symptoms is not well-characterized. Here, we use a C. elegans model for TDP-43-induced toxicity to identify the biological mechanisms that lead to disease-related phenotypes. By applying deep behavioral phenotyping, we established a phenotypic fingerprint of TDP-43 worms. This fingerprint was compared to that of 294 C. elegans mutants, in which genes were mutated that are important for nervous system and muscle functioning. By using a computational clustering approach, we found that the release of acetylcholine and GABA was the primary defect in TDP-43 worms. We then functionally dissected the neuromuscular circuit to show that GABA transmission was more severely diminished compared to acetylcholine. Whereas the loss of GABA transmission was caused by a profound loss of GABA synapses, acetylcholine neurons appeared to be functionally silenced. Enhancing functional output of repressed acetylcholine neurons at the level of G-protein coupled receptors or through optogenetic stimulation restored neurotransmission, but inefficiently rescued locomotion. Surprisingly, rebalancing the excitatory and inhibitory input by simultaneous stimulation of GABA and acetylcholine input into muscles not only synergized the effects of boosting individual neurotransmitter systems, but instantaneously improved movement. Our results suggest that interventions accounting for the altered connectome may be more efficient in restoring motor function than those solely focusing on diseased neuron populations.

cell biology↗

A C. elegans model of C9orf72-associated ALS/FTD uncovers a conserved role for eIF2D in RAN translation

A hexanucleotide repeat expansion GGGGCC in the noncoding region of C9orf72 is the most common cause of inherited amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Potentially toxic dipeptide repeats (DPRs) are synthesized from the GGGGCC sequence via repeat associated non-AUG (RAN) translation. We developed C. elegans models that express, either ubiquitously or exclusively in neurons, a transgene with 75 GGGGCC repeats flanked by intronic C9orf72 sequence. The worms generate DPRs (poly-glycine-alanine [poly-GA], poly-glycine-proline [poly-GP]) and display neurodegeneration, locomotor and lifespan defects. Mutation of a non-canonical translation-initiating codon (CUG) upstream of the repeats blocked poly-GA production and ameliorated disease, suggesting poly-GA is pathogenic. Importantly, eukaryotic translation initiation factor 2D (eif-2D/eIF2D) was necessary for RAN translation. Genetic removal of eif-2D increased lifespan in both C. elegans models. In vitro findings in human cells demonstrated a conserved role for eif-2D/eIF2D in RAN translation that could be exploited for ALS and FTD therapy.

neuroscience↗

Establishment and maintenance of motor neuron identity via temporal modularity in terminal selector function

Terminal selectors are transcription factors (TFs) that establish during development and maintain throughout life post-mitotic neuronal identity. We previously showed that UNC-3/Ebf, the terminal selector of C. elegans cholinergic motor neurons (MNs), acts indirectly to prevent alternative neuronal identities (Feng et al., 2020). Here, we globally identify the direct targets of UNC-3. Unexpectedly, we find that the suite of UNC-3 targets in MNs is modified across different life stages, revealing "temporal modularity" in terminal selector function. In all larval and adult stages examined, UNC-3 is required for continuous expression of various protein classes (e.g., receptors, transporters) critical for MN function. However, only in late larvae and adults, UNC-3 is required to maintain expression of MN-specific TFs. Minimal disruption of UNC-3s temporal modularity via genome engineering affects locomotion. Another C. elegans terminal selector (UNC-30/Pitx) also exhibits temporal modularity, supporting the potential generality of this mechanism for the control of neuronal identity.

developmental biology↗

Systemic muscle wasting and coordinated tumour response drive tumourigenesis

Cancer cells demand excess nutrients to support their proliferation, but how tumours exploit extracellular amino acids during systemic metabolic pertubations remain incompletely understood. Here we use a Drosophila model of obesity-enhanced tumourigenesis to uncover a systemic host-tumour nutrient circuit that supports tumour growth. We demonstrate coordinate induction of systemic cachexia-like muscle wasting with tumour-autonomous SLC36-family amino acid transporter expression as a proline-scavenging programme to drive tumourigenesis. This coordinated induction of cachexia and SLC36-transporters pertains to human kidney cancer and associates with significantly worse survival outcomes. We identify Indole-3-propionic acid as an optimal amino acid derivative to rationally target the proline-dependency of tumour growth. Combining insights from whole-animal Drosophila models and human cancer database analysis provides a powerful approach towards the identification and therapeutic exploitation of the amino acid vulnerabilities of tumourigenesis in the context of perturbed systemic metabolic network.

cancer biology↗

Measuring C. elegans spatial foraging and food intake using bioluminescent bacteria

For most animals, feeding includes two behaviours: foraging to find a food patch and food intake once a patch is found. The nematode Caenorhabditis elegans is a useful model for studying the genetics of both behaviours. However, most methods of measuring feeding in worms quantify either foraging behaviour or food intake but not both. Imaging the depletion of fluorescently labelled bacteria provides information on both the distribution and amount of consumption, but even after patch exhaustion a prominent background signal remains, which complicates quantification. Here, we used a bioluminescent Escherichia coli strain to quantify C. elegans feeding. With light emission tightly coupled to active metabolism, only living bacteria are capable of bioluminescence so the signal is lost upon ingestion. We quantified the loss of bioluminescence using N2 reference worms and eat-2 mutants, and found a nearly 100-fold increase in signal-to-background ratio and lower background compared to loss of fluorescence. We also quantified feeding using aggregating npr-1 mutant worms. We found that groups of npr-1 mutants first clear bacteria from each other before foraging collectively for more food; similarly, during high density swarming, only worms at the migrating front are in contact with bacteria. These results demonstrate the usefulness of bioluminescent bacteria for quantifying feeding and suggest a hygiene hypothesis for the function of C. elegans aggregation and swarming.

animal behavior and cognition↗

Comparison of solitary and collective foraging strategies of Caenorhabditis elegans in patchy food distributions

Collective foraging has been shown to benefit organisms in environments where food is patchily distributed, but whether this is true in the case where organisms do not rely on long-range communications to coordinate their collective behaviour has been understudied. To address this question, we use the tractable laboratory model organism Caenorhabditis elegans, where a social strain (npr-1 mutant) and a solitary strain (N2) are available for direct comparison of foraging strategies. We first developed an on-lattice minimal model for comparing collective and solitary foraging strategies, finding that social agents benefit from feeding faster and more efficiently simply due to group formation. Our laboratory foraging experiments with npr-1 and N2 worm populations, however, show an advantage for solitary N2 in all food distribution environments that we tested. We incorporated additional strain-specific behavioural parameters of npr-1 and N2 worms into our model and computationally identified N2s higher feeding rate to be the key factor underlying its advantage, without which it is possible to recapitulate the advantage of collective foraging in patchy environments. Our work highlights the theoretical advantage of collective foraging due to group formation alone without long-range interactions, and the valuable role of modelling to guide experiments.

animal behavior and cognition↗

A terminal selector prevents a Hox transcriptional switch to safeguard motor neuron identity throughout life

Nervous system function critically relies on continuous expression of neuron type-specific terminal identity features, such as neurotransmitter receptors, ion channels and neuropeptides. How individual neuron types select such features during development and maintain them throughout life is poorly understood. Here, we report an unconventional mechanism that enables cholinergic motor neurons (MNs) in the C. elegans ventral nerve cord to select and maintain their distinct terminal identity features. The conserved terminal selector UNC-3 (Collier/Ebf) UNC-3 is continuously required not only to promote cholinergic MN features, but also to prevent expression of \"unwanted\" terminal identity features normally reserved for other neuron types. Mechanistically, this dual function is achieved by the ability of UNC-3 to prevent a switch in the transcriptional targets of the Hox protein LIN-39 (Scr/Dfd/Hox4-5). The strategy of a terminal selector preventing a Hox transcriptional switch may constitute a general principle for safeguarding neuronal terminal identity features throughout life.

developmental biology↗

Identification of C elegans strains using a fully convolutional neural network on behavioural dynamics

The nematode C. elegans is a promising model organism to understand the genetic basis of behaviour due to its anatomical simplicity. In this work, we present a deep learning model capable of discerning genetically diverse strains based only on their recorded spontaneous activity, and explore how its performance changes as different embeddings are used as input. The model outperforms hand-crafted features on strain classification when trained directly on time series of worm postures.

animal behavior and cognition↗

Recurrent Neural Networks with Interpretable Cells Predict and Classify Worm Behaviour

An important goal in behaviour analytics is to connect disease state or genome variation with observable differences in behaviour. Despite advances in sensor technology and imaging, informative behaviour quantification remains challenging. The nematode worm C. elegans provides a unique opportunity to test analysis approaches because of its small size, compact nervous system, and the availability of large databases of videos of freely behaving animals with known genetic differences. Despite its relative simplicity, there are still no reports of generative models that can capture essential differences between even well-described mutant strains. Here we show that a multilayer recurrent neural network (RNN) can produce diverse behaviours that are difficult to distinguish from real worms behaviour and that some of the artificial neurons in the RNN are interpretable and correlate with observable features such as body curvature, speed, and reversals. Although the RNN is not trained to perform classification, we find that artificial neuron responses provide features that perform well in worm strain classification.

animal behavior and cognition↗