Biology subjects

Clark, B.

Publications and source records attributed to Clark, B..

At least 19 recordsLinked to original sources

bioRxiv2026

High-throughput serial two-photon tomography with BakingTray and BrainSaw

Volumetric imaging is increasingly important in fields such as neuroscience, where quantifying structure and mapping features are inherently three-dimensional problems. Block-face serial two-photon tomography (STPT) has emerged as a powerful approach for high-resolution, whole-organ volumetric imaging. STPT avoids complex sample preparation and balances image quality, speed, and scalability. However, STPT remains niche, in part because of the absence of flexible, general-purpose control software. Here we present BakingTray, an open-source software platform for STPT that extends ScanImage. BakingTrays modular framework accommodates diverse hardware configurations and allows users to build systems customised to their needs. Twelve such systems, which we call BrainSaws, have been constructed worldwide since 2016, with more under construction, and have so far contributed to 35 research papers. The three systems at the Sainsbury Wellcome Centre alone have acquired over 7,000 samples in a busy multi-user facility. We demonstrate the platform across its core neuroscience applications: electrode track localisation, brain-wide cell counting, and bulk projection mapping. Beyond these, we map the cell-type-specific synaptic output of inhibitory neurons in the ventral lateral geniculate nucleus and, with whole-mount staining, amyloid plaques brain-wide in a mouse model of Alzheimers disease. BakingTray is a mature platform for groups or facilities needing a customised volumetric imaging solution, whether built new or converted cheaply from an existing two-photon microscope.

neuroscience↗

bioRxiv2026

gVCF2CNV: a scalable pipeline for CNV detection from whole-genome sequencing data

Motivation: Copy-number variants (CNVs) contribute to human disease and population trait variation. CNV detection from large whole-genome sequencing cohorts remains computationally demanding, as most methods require BAM or CRAM files. Genomic VCF (gVCF) files are smaller, routinely generated by standard variant-calling workflows, and contain the read depth and allelic information needed for CNV detection. However, gVCF files are not directly compatible with established CNV callers that rely on Log R Ratio (LRR) and B Allele Frequency (BAF) signals. Results: We present gVCF2CNV, a Nextflow pipeline that converts gVCF files into Log R Ratio and B Allele Frequency signals compatible with established CNV callers. Applied to 12,509 individuals from the SPARK cohort, gVCF2CNV generated signals at an average of 2.7 million SNV positions per individual and completed signal extraction in 4 hours using 192 CPUs. CNV calling with PennCNV and QuantiSNP identified candidate CNVs across a broad size range, with trio-based Mendelian precision reaching approximately 80% or higher for deletions of at least 30 kb and duplications of at least 5 kb. Application to 414,824 individuals from the All of Us cohort was completed in 96 hours, demonstrating feasibility at biobank scale. These results show that gVCF files can serve as a scalable input for CNV detection in large WGS cohorts. Availability and Implementation: gVCF2CNV is available at https://github.com/JacquemontLab/gVCF2CNV, implemented as a Nextflow pipeline with Perl and Python components, supported on Linux. Contact: mame.seynabou.diop@umontreal.ca

bioinformatics↗

bioRxiv2026

Physical contact reveals a hidden layer of cortical architecture

Neurons interact at synapses, but they also communicate through physical contact and proximity, including diffusion, glia-mediated interactions, and ephaptic coupling. Standard connectomes map synapses, but cannot capture the full set of cell-cell contacts that can support these pathways. Here we extract contactomes from two large mouse visual cortex volumes at nanoscale resolution and quantify every cell-cell contact, the shared surface area of each contact, and the relationship between contact and synaptic connectivity. We find that contactomes are 5 - 10x denser than synaptic graphs, revealing that neurons physically contact a much larger set of potential neighbors than they synaptically connect to. We further find that most nearby potential neighbors are already in physical contact, indicating that local structural change would add few new candidate synaptic partners. Finally, we find that astrocytes form a single large syncytium-like network that spans the tissue and directly contacts nearly all neurons, and that glial processes lie within a micron or two of almost every synapse, indicating that synapses reside within a pervasive glia-shaped microenvironment. Together, these results show that physical contact forms a distinct layer of brain architecture that extends far beyond the synaptic connectome.

neuroscience↗

bioRxiv2026

MCNV2 (Mendelian CNV Validation): Mendelian Precision for CNV quality assessment

SummaryDetection of copy number variations from genomic sequencing and array data is prone to high false-positive rates. Distinguishing true variation from false positives remains challenging as quality metrics depend on technologies used, the quality of the data, and the calling algorithm. Mendelian inheritance in parent-offspring trios offers a powerful method to detect false positives, yet no tool exists to systematically compute, explore, optimize, and interpret the precision of CNV calls accordingly. Here we present Mendelian CNV Validation (MCNV2), an R package implementing Mendelian Precision (MP), as a reproducible metric for standardized CNV quality assessment. MCNV2 provides a command-line interface for pipeline integration and an interactive Shiny application for real-time exploration of MP across CNV types, size categories, and quality metrics. Availability and ImplementationMCNV2 is available at https://github.com/JacquemontLab/MCNV2-Mendelian-CNV-Validation. Contactmame.seynabou.diop@umontreal.ca Supplementary InformationSupplementary information are available at https://mcnv2-mendelian-cnv-validation.readthedocs.io/en/latest/

genetics↗

bioRxiv2025

Fast and slow learning mediated by distinct climbing fiber signals

Learning on both fast and slow timescales is required to enable us to adapt to a dynamic environment. Whether the mechanisms mediating fast and slow learning are implemented by the same, or different, circuit elements remains an important open question. Learning involving the cerebellum is known to be driven primarily by instructive climbing fiber inputs to Purkinje cells, but the dynamics of climbing fibers across learning on fast and slow timescales are not known. It is unclear if climbing fibers encode the same or different instructive signals at different stages of learning, and whether learning-related changes in climbing fiber encoding properties across timescales are driven by the same or distinct mechanisms. We addressed this problem using longitudinal 2-photon calcium imaging of climbing fiber activity across multiple cerebellar lobules as mice learned to execute a visuomotor integration task - slow learning - and then rapidly adapted to a new sensorimotor coupling - fast learning. Instructive signals are spatially segregated in trained mice: Lobule V preferentially encodes movement predictively, while Lobule simplex preferentially receives reward-related feedback. Moreover, the encoding of sensorimotor and reward-related instructive signals is dynamic on both slow and fast timescales: movement-related activity emerges over the course of training, while reward-related activity progressively diminishes as mice become experts but re-emerges specifically in Lobule simplex when rewards become scarce. Finally, while the same climbing fiber inputs can change on both timescales, the magnitude and spatial organization of slow changes are not related to fast changes. Thus, climbing fiber input can carry distinct instructive signals on different timescales - a multiplexing of teaching signals that may underlie the cerebellums capacity to both acquire and refine motor behaviour.

neuroscience↗

bioRxiv2025

The long noncoding RNA Peanut (Gm11454) promotes neurogenesis and rod photoreceptor differentiation during postnatal retinal development.

Long noncoding RNAs (lncRNAs) display pervasive expression and function in the developing nervous system. Temporal profiling of gene expression in the retina has demonstrated differential expression of lncRNAs throughout development; however, determinations of lncRNA function during retinal development remain limited. In this study, we identify numerous lncRNAs with dynamic temporal expression and characterize the function of the lncRNA Gm11454, which we have named Peanut. Using overexpression of Peanut in mice retinas, we determine that Peanut promotes rod photoreceptor fate and neurogenesis of retinal progenitor cells (RPCs) via inhibition of Notch signaling and by regulating expression of neighboring gene Tox2. A novel Peanut knockout mouse model demonstrates that Peanut is required for proper visual function and photoreceptor gene expression. Finally, we determined that Peanut is necessary for proper cell cycle progression and neurogenesis. Our results characterize the function of a novel lncRNA as a regulator of RPC neurogenesis and differentiation and support the importance of lncRNAs in the developing retina.

developmental biology↗

bioRxiv2025

Spatial Partitioning of Core Glycolysis Enables Tissue-Specific Metabolic Programs In Vivo

Tissues exhibit metabolic heterogeneity that tailors conserved pathways to distinct physiological demands, yet how this heterogeneity is achieved in vivo remains poorly understood. Here, we use Caenorhabditis elegans to investigate tissue-specific requirements for glucose-6-phosphate isomerase (GPI-1), a conserved reversible enzyme that links glycolysis and the pentose phosphate pathway (PPP). Tissue-specific metabolic-network modeling predicted differential glycolytic and PPP flux potential across adult tissues and identified tissue-specific biases in GPI-1 reaction directionality. Genetic disruption of gpi-1 produced germline defects consistent with impaired PPP-associated anabolic metabolism and somatic defects consistent with impaired glycolysis, indicating that GPI-1 supports distinct metabolic functions across tissues. We further discovered that two GPI-1 isoforms are differentially expressed and localized: GPI-1A is broadly expressed and cytosolic, whereas GPI-1B is enriched in the germline and localizes to endoplasmic reticulum-associated compartments. Isoform-specific perturbations revealed distinct requirements for GPI-1A and GPI-1B in somatic glycolysis and reproductive physiology. These findings implicate isoform-specific subcellular localization as a possible contributor to the partition of the functions of a conserved reversible enzyme, enabling tissue-specific anabolic and catabolic metabolism in vivo.

cell biology↗

bioRxiv2025

PBDE flame retardant exposure causes neurobehavioral and transcriptional effects in first-generation but not second-generation offspring fish

Environmental pollutants can have lasting effects that extend beyond the exposure period, potentially impacting multiple generations. Despite the widespread presence of polybrominated diphenyl ether (PBDE) flame retardants in the environment including oceans globally, there is limited understanding of their potential for multigenerational toxicity. We investigated whether exposures to 2,2,4,4,5-pentaBDE (BDE-99), a predominant PBDE congener, can induce neurobehavioral and molecular effects across two generations using the marine vertebrate model fish Fundulus heteroclitus (Atlantic killifish). To assess how exposure route influences outcomes, we conducted two complementary experiments: in the progenitor exposure experiment, adult fish were exposed to BDE-99 through diet, leading to maternal transfer into F1 eggs, while in the direct embryonic exposure experiment, embryos were exposed to BDE-99 via waterborne exposure, achieving comparable embryonic doses. Both exposure routes resulted in altered photomotor responses in F1 larvae, but additional effects differed by exposure route. In the progenitor exposure, maternally exposed F1 juvenile fish exhibited reduced anxiety-like behavior and changes in brain gene expression, while in the direct embryonic exposure, F0 fish showed no detectable effects within their generation but caused behavioral alterations in F1 descendants. The lack of effects in direct F0 individuals suggests that neurobehavioral effects observed in maternally exposed F1 fish were not solely due to BDE-99 transfer but were influenced by additional maternal factors. In the progenitor exposure, neither behavioral nor gene expression effects persisted in the F2 generation. We conclude that maternal influences play a key role in shaping multigenerational effects of BDE-99 exposure, as indicated by the strong effects observed in maternally exposed F1 fish but not in F2 descendants, as well as the differences between maternally exposed fish and those exposed to comparable doses of BDE-99 alone.

pharmacology and toxicology↗

bioRxiv2025

Three-dimensional fossils of a Cretaceous collared carpet shark (Parascylliidae, Orectolobiformes) shed light on skeletal evolution in galeomorphs

A rich fossil record of teeth shows that many living shark families origins lie deep in the Mesozoic. Skeletal fossils of the sharks to whom these teeth belonged are far rarer and when they are preserved are often flattened, hindering understanding of the evolutionary radiation of living shark groups. Here we use computed tomography to describe two articulated Upper Cretaceous shark skeletons from the Chalk of the UK preserving three- dimensional neurocrania, visceral cartilages, pectoral skeletons and vertebrae. These fossils display skeletal anatomies characteristic of the Parascylliidae, a family of Orectolobiformes now endemic to Australia and the Indo Pacific. However, they differ in having a more heavily mineralised braincase and a tri-basal pectoral fin endoskeleton, while their teeth can be attributed to a new species of the problematic taxon Pararhincodon. Phylogenetic analysis of these new fossils confirms that Pararhincodon is a stem-group parascylliid, providing insight into the evolution of parascylliids distinctive anatomy during the late Mesozoic-Cenozoic shift in orectolobiform biodiversity from the Northern Atlantic to the Indo Pacific. Meanwhile both Pararhincodon and extant parascylliids have a distinctive vertebral morphology previously described only in Carcharhiniformes, contributing a skeletal perspective to the picture emerging from macroevolutionary analyses of coastal, small-bodied origins for galeomorphs.

paleontology↗

bioRxiv2024

Epidermal Growth Factor Receptor Regulates Beclin-1 in Hyperoxia

While delivery of supplemental oxygen is a life-saving therapy, exposure to high levels of oxygen, called hyperoxia, is associated with increased mortality in the intensive care unit (ICU). Hyperoxia leads to oxidant-mediated acute lung injury (ALI) and pulmonary cell death, called hyperoxic acute lung injury (HALI). Elucidation of molecular mechanisms in HALI could identify therapeutic targets in ALI. In the current study, we examined in vivo effects of HALI on Beclin-1 (BCN1), a molecule that regulates autophagy and cell death. Effects of HALI on BCN1 and autophagy markers were examined in wildtype mice. Analysis of BCN1 and autophagy was completed via Western blot, RT-qPCR, and immunohistochemistry. In wildtype mice, HALI led to increased BCN1 in the lung and in the alveolar epithelium. HALI resulted in significant alterations in markers of autophagy in the lung, including reduced microtubule-associated protein 1B-light chain (LC3B)-II/-I ratios, suggesting reduced autophagic flux. HALI caused increased LDH release in human alveolar type-II cells derived from induced pluripotent stem cells (AT2siPSC), as well as reduced LC3B-II/-I ratios. We previously showed that inhibition of the tyrosine kinase receptor epidermal growth factor receptor (EGFR) is protective in HALI. EGFRWa5/+ mice, which have genetically reduced EGFR activity and improved survival in HALI, showed increased total BCN1, reduced phosphorylated-(p-)/total BCN1 ratios, and decreased LC3B-II/-I ratios in the lung in HALI compared with wildtype. Administration of wortmannin, a phosphatidylinositol-3 kinase (PI3K) inhibitor which decreases BCN1-mediated autophagy, led to increased mortality in HALI in wildtype mice. These data support that regulation of BCN1 and autophagy by EGFR is a protective mechanism in HALI, a pathway which warrants further study for its therapeutic potential. KEY MESSAGESHALI is associated with increased mortality in the ICU and causes alveolar epithelial cell death, but the role of BCN1 in HALI is not well defined. This study shows that BCN1, a molecule involved in autophagy and cell death, is regulated by EGFR in HALI in vivo. These results are significant because regulation by BCN1 and autophagy by EGFR is a novel pathway in HALI with therapeutic potential that warrants further study.

cell biology↗

bioRxiv2023

An Integrated Platform for in vivo Electrophysiology in Spatial Cognition Experiments

Spatial cognition research requires behavioral paradigms that can distinguish between different navigational elements, such as allocentric (map-like) navigation and egocentric (e.g., body centered) navigation. To fill this need, we developed a flexible experimental platform that can be quickly modified without the need for significant changes to software and hardware. In this paper, we present this inexpensive and flexible behavioral platform paired with software which we are making freely available. Our behavioral platform serves as the foundation for a range of experiments, and though developed for assessing spatial cognition, it also has applications in the non-spatial domain of behavioral testing. There are two components of the software platform, Maze and Stim Trigger. Both programs can work in conjunction with electrophysiology acquisition systems, allowing for precise time stamping of neural events with behavior. The Maze program includes functionality for automatic reward delivery based on user defined zones. Stim Trigger permits control of brain stimulation via any equipment that can be paired with an Arduino board. We seek to share our software and leverage the potential by expanding functionality in the future to meet the needs of a larger community of researchers. Significance StatementThis paper presents an innovative and cost-effective behavioral platform designed to distinguish between different navigational elements, addressing the crucial need for better spatial cognition research paradigms. The platforms flexibility allows for quick modifications without major software or hardware changes. Additionally, the freely available software, comprising Maze and Stim Trigger components, enables precise time stamping of neural events with behavior, while facilitating automatic reward delivery and brain stimulation control. Beyond spatial cognition assessment, the platforms adaptability extends to non-spatial behavioral testing. By openly sharing this software, the authors aim to foster collaboration and encourage future developments, promoting its application to a broader community of researchers. This platform represents a significant advancement in spatial cognition research and behavioral experimentation methods.

animal behavior and cognition↗

bioRxiv2023

Developmental plasticity and variability in the formation of egg-spots, a pigmentation ornament in the cichlid Astatotilapia calliptera

Vertebrate pigmentation patterns are highly diverse, yet we have a limited understanding of how evolutionary changes to genetic, cellular, and developmental mechanisms generate variation. To address this, we examine the formation of a sexually-selected male ornament exhibiting inter- and intra-specific variation, the egg-spot pattern, consisting of circular yellow-orange markings on the male anal fins of haplochromine cichlid fishes. We focus on Astatotilapia calliptera, the ancestor-type species of the Malawi cichlid adaptive radiation of over 850 species. We identify a key role for iridophores in initialising egg-spot aggregations composed of iridophore-xanthophore associations. Despite adult sexual dimorphism, aggregations initially form in both males and females, with development only diverging between the sexes at later stages. Unexpectedly, we found that the timing of egg-spot initialisation is plastic. The earlier individuals establish their own territory the earlier the aggregations form, with iridophores being the cell type that responds to social conditions. Furthermore, we observe apparent competitive interactions between adjacent egg-spot aggregations, which strongly suggests that egg-spot patterning results mostly from cell-autonomous cellular interactions. Together, these results demonstrate that A. calliptera egg-spot development is an exciting model for investigating pigment pattern formation at the cellular level in a system with developmental plasticity, sexual dimorphism, and intra-specific variation. As A. calliptera represents the ancestral bauplan for egg-spots, these findings provide a baseline for informed comparisons across the incredibly diverse Malawi cichlid radiation.

developmental biology↗

bioRxiv2022

Recurrent loss of an immunity gene that protects Drosophila against a major natural parasite

Polymorphisms in immunity genes can have large effects on susceptibility to infection. To understand the origins of this variation, we investigated the genetic basis of resistance to the parasitoid wasp Leptopilina boulardi in Drosophila melanogaster. A cis-regulatory polymorphism in the gene Lectin-24A abolishes expression after infection, strongly reducing survival. Other null mutations have arisen repeatedly in this gene, with additional loss-of-expression and premature stop codons segregating in nature. The frequency of these alleles varies greatly, and in some populations natural selection has driven them near to fixation. We conclude that there is a pleiotropic cost to Lectin-24A expression, and in some populations this outweighs the benefit of resistance, resulting in natural selection causing the repeated loss of this important immune defense. Significance StatementGenetic differences between individuals can have a large effect on susceptibility to infectious disease. We have identified a gene called Lectin-24A that is important in the immune response that protects fruit flies against one of their main natural enemies--parasitic wasps. However, in nature many flies carry mutated copies of this gene that are no longer functional. We found that the high frequency of these loss-of-function mutations can only be explained if they have a selective advantage in some populations. Therefore, we can conclude that this immune defiance is costly, and genetic variation in susceptibility is maintained because in some locations susceptible flies are fitter than resistant flies.

evolutionary biology↗

bioRxiv2022

oca2 targeting using CRISPR/Cas9 in the Malawi cichlid Astatotilapia calliptera

Identifying genetic loci underlying trait variation provides insights into the mechanisms of diversification, but demonstrating causality and characterising the role of genetic loci requires testing candidate gene function, often in non-model species. Here we establish CRISPR/Cas9 editing in Astatotilapia calliptera, a generalist cichlid of the remarkably diverse Lake Malawi radiation. By targeting the gene oca2 required for melanin synthesis in other vertebrate species, we show efficient editing and germline transmission. Gene edits include indels in the coding region, likely a result of non-homologous end joining, and a large deletion in the 3' UTR due to homology-directed repair. We find that oca2 knock-out A. calliptera lack melanin, which may be useful for developmental imaging in embryos and studying colour pattern formation in adults. As A. calliptera resembles the presumed generalist ancestor of the Lake Malawi cichlids radiation, establishing genome editing in this species will facilitate investigating speciation, adaptation and trait diversification in this textbook radiation.

developmental biology↗

bioRxiv2021

The active zone protein Clarinet regulates ATG-9 trafficking at synapses and presynaptic autophagy

In neurons, autophagy is temporally and spatially regulated to occur near presynaptic sites. How trafficking of autophagy proteins is regulated to support synaptic autophagy is not well understood. From forward genetic screens, we identify a role for the long isoform of the active zone protein Clarinet (CLA-1L) in regulating trafficking of autophagy protein ATG-9 at synapses, and presynaptic autophagy. ATG-9 is a transmembrane protein that undergoes activity-dependent exo-endocytosis at synapses, and mutations in CLA-1L result in abnormal accumulation of ATG-9 into clathrin-rich endocytic intermediates. CLA-1L extends from the active zone to the periactive zone, and genetically interacts with periactive zone proteins required for clathrin-dependent endocytosis. We find that CLA-1L is specifically required for sorting of ATG-9 at synapses, likely via endosome-mediated endocytosis, and for activity-dependent presynaptic autophagy. Our findings provide mechanistic insights into how active zone proteins regulate key steps of ATG-9 exo-endocytosis, a process that could couple the activity state of the neuron and autophagy. HighlightsO_LI* The long isoform of the active zone protein Clarinet (CLA-1L) regulates ATG-9 trafficking at synapses C_LIO_LI* CLA-1L extends from the active zone to the periactive zone and cooperates with the periactive zone endocytic proteins EHS-1/EPS15 and ITSN-1/ intersectin 1 in ATG-9 trafficking during exo-endocytosis C_LIO_LI* Mutations in CLA-1L, or in clathrin-associated adaptor molecules, result in abnormal accumulation of ATG-9 into clathrin-rich endocytic intermediates C_LIO_LI* CLA-1L mutants which affect ATG-9 trafficking are also defective in activity-dependent presynaptic autophagy C_LI

neuroscience↗

bioRxiv2021

Gene regulatory networks controlling temporal patterning, neurogenesis and cell fate specification in the mammalian retina.

Gene regulatory networks (GRNs), consisting of transcription factors and their target cis- regulatory sequences, control neurogenesis and cell fate specification in the developing central nervous system, but their organization is poorly characterized. In this study, we performed integrated single-cell RNA- and scATAC-seq analysis in both mouse and human retina to profile dynamic changes in gene expression, chromatin accessibility and transcription factor footprinting during retinal neurogenesis. We identified multiple interconnected, evolutionarily-conserved GRNs consisting of cell type-specific transcription factors that both activate expression of genes within their own network and often inhibit expression of genes in other networks. These GRNs control state transitions within primary retinal progenitors that underlie temporal patterning, regulate the transition from primary to neurogenic progenitors, and drive specification of each major retinal cell type. We confirmed the prediction of this analysis that the NFI transcription factors Nfia, Nfib, and Nfix selectively activate expression of genes that promote late-stage temporal identity in primary retinal progenitors. We also used GRNs to identify additional transcription factors that promote (Insm1/2) and inhibit (Tbx3, Tcf7l1/2) rod photoreceptor specification in postnatal retina. This study provides an inventory of cis- and trans-acting factors that control retinal development, identifies transcription factors that control the temporal identity of retinal progenitors and cell fate specification, and will potentially guide cell-based therapies aimed at replacing retinal neurons lost due to disease.

neuroscience↗

bioRxiv2021

Exploration-based learning of a step to step controller predicts locomotor adaptation

Humans adapt their locomotion seamlessly in response to changes in the body or the environment. We do not understand how such adaptation improves performance measures like energy consumption or symmetry while avoiding falling. Here, we model locomotor adaptation as interactions between a stabilizing controller that reacts quickly to perturbations and a reinforcement learner that gradually improves the controllers performance through local exploration and memory. This model predicts time-varying adaptation in many settings: walking on a split-belt treadmill (i.e. with both feet at different speeds), with asymmetric leg weights, or using exoskeletons -- capturing learning and generalization phenomena in ten prior experiments and two model-guided experiments conducted here. The performance measure of energy minimization with a minor cost for asymmetry captures a broad range of phenomena and can act alongside other mechanisms such as reducing sensory prediction error. Such a model-based understanding of adaptation can guide rehabilitation and wearable robot control.

neuroscience↗

bioRxiv2021

Morphogenetic coupling leads to pattern emergence in the pre somitic mesoderm

As tissues elongate, cell rearrangement alters positional information in manner that must be accounted for to generate gene expression pattern. How this is achieved during paraxial mesoderm elongation is unknown. By reverse-engineering gene regulatory networks that predict single cell expression trajectories across the tissue, we find a network capable of recapitulating the full range of dynamic differentiation profiles observed both in vivo and in vitro. Simulating gene expression profiles on in toto cell tracking data sets reveal that temporal exposure to Wnt and FGF is generated by cell movement. The absence of reversal in gene expression towards a more premature gene expression state predicts the generation of aberrant tbx6 expression in the posterior progenitor zone that we then confirm by quantitative single cell imaging. Taken together, these results demonstrate cell rearrangement tunes the dynamics of mesoderm progenitor differentiation to generate pattern emergence as a function of temporal Wnt and FGF exposure.

developmental biology↗