In toto light-sheet imaging allows the tracking of entire growing tissues with high spatial and temporal resolution for many hours. However, this technology requires a sample to be immobilised to ensure that the tissue of interest remains within the field of view throughout the image acquisition period. We have developed a method of mounting and image capture for long-term light-sheet imaging of a growing zebrafish tailbud from the 18 somite stage through to the end of somitogenesis. By tracking the global movement of the tailbud during image acquisition and feeding this back to the microscope stage, we are able to ensure that the growing tissue remains within the field of view throughout image acquisition. Here, we present three representative datasets of embryos in which all nuclei are labelled and tracked until the completion of somitogenesis.

The study of pattern formation has benefited from our ability to reverse-engineer gene regulatory network (GRN) structure from spatio-temporal quantitative gene expression data. Traditional approaches have focused on systems where the timescales of pattern formation and morphogenesis can be separated. Unfortunately, this is not the case in most animal patterning systems, where pattern formation and morphogenesis are co-occurring and tightly linked. To elucidate patterning mechanisms in such systems we need to adapt our GRN inference methodologies to include cell movements. In this work we fill this gap by integrating quantitative data from live and fixed embryos to approximate gene expression trajectories (AGETs) in single cells and use these to reverse-engineer GRNs. This framework generates candidate GRNs that recapitulate pattern at the tissue level, gene expression dynamics at the single cell level, recover known genetic interactions and recapitulate experimental perturbations while incorporating cell movements explicitly for the first time.

Establishment of the vertebrate body plan requires a combination of extra-embryonic signalling to establish morphogen gradients, and an underlying self-assembly mechanism that contributes to pattern regulation and robustness. Gastruloids are aggregates of mouse embryonic stem cells that break morphological symmetry and polarise Brachyury ( Bra ) expression in the absence of extra-embryonic signals. However, the mechanism by which symmetry breaking occurs is not yet known. During gastrulation and body axis elongation, retinoic acid (RA) and Cyp26a1 are polarised along the anteroposterior axis, and this is critical for balancing the decision of cells to self-renew or differentiate. We found that symmetry-breaking in gastruloids is coincident with the separation of Aldh1a2 and Cyp26a1 expression, and that feedback from Bra is critical for maintaining polarised Cyp26a1 gene expression in the gastruloid posterior region. Furthermore, we reveal a short temporal window where RA signalling can negatively influence both Bra and Cyp26a1 expression. These observations lead us to suggest a mechanism of how initial gastruloid patterning, subsequent elongation, and evolving network topologies can create defined boundaries of RA signalling that permits proper axial patterning and gastruloid growth.

The mechanisms underpinning the formation of patterned cellular landscapes has been the subject of extensive study as a fundamental problem of developmental biology. In most cases, attention has been given to situations in which cell movements are negligible, allowing researchers to focus on the cell-extrinsic signalling mechanisms, and intrinsic gene regulatory interactions that lead to pattern emergence at the tissue level. However, in many scenarios during development, cells rapidly change their neighbour relationships in order to drive tissue morphogenesis, while also undergoing patterning. To draw attention to the ubiquity of this problem and propose methodologies that will accommodate morphogenesis into the study of pattern formation, we review the current approaches to studying pattern formation in both static and motile cellular environments. We then consider how the cell movements themselves may contribute to the generation of pattern, rather than hinder it, with both a species specific and evolutionary viewpoint.

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.

Pattern formation in development has been principally studied in tissues that are not undergoing extensive cellular rearrangement. However, in most developmental contexts, gene expression domains emerge as cells re-arrange their spatial positions within the tissue, providing an additional, and seldom explored, level of complexity to the process of pattern formation in vivo. To investigate this issue, we addressed the regulation of TBox expression in the presomitic mesoderm (PSM) as this tissue develops in zebrafish embryos. Here, cells must differentiate in a manner that leads to well-defined spatial gene expression domains along the tissue while undergoing rapid movements to generate axial length. We find that in vivo, mesoderm progenitors undergo TBox differentiation over a broad range of time scales while in vitro their differentiation is simultaneous. By reverse-engineering a gene regulatory network (GRN) to recapitulate TBox gene expression, we were able to predict the populationlevel differentiation dynamics observed in culture, but not in vivo. In order to address this discrepancy in differentiation dynamics we developed a ‘Live Modelling’ framework that allowed us to simulate the GRN on 3D tracking

A fundamental question in developmental biology is how the early embryo establishes the spatial coordinate system that is later important for the organization of the embryonic body plan. Although we know a lot about the signaling and gene-regulatory networks required for this process, much less is understood about how these can operate to pattern tissues in the context of the extensive cell movements that drive gastrulation. In zebrafish, germ layer specification depends on the inheritance of maternal mRNAs [1-3], cortical rotation to generate a dorsal pole of beta-catenin activity [4-8], and the release of Nodal signals from the yolk syncytial layer (YSL) [9-12]. To determine whether germ layer specification is robust to altered cell-to-cell positioning, we separated embryonic cells from the yolk and allowed them to develop as spherical aggregates. These aggregates break symmetry autonomously to form elongated structures with an anterior-posterior pattern. Both forced reaggregation and endogenous cell mixing reveals how robust early axis specification is to spatial disruption of maternal pre-patterning. During these movements, a pole of Nodal signaling emerges that is required for explant elongation via the planar cell polarity (PCP) pathway. Blocking of PCP-dependent elongation disrupts the shaping of opposing poles of BMP and Wnt/TCF activity and the anterior-posterior patterning of neural tissue. These results lead us to suggest that embryo elongation plays a causal role in timing the exposure of cells to changes in BMP and Wnt signal activity during zebrafish gastrulation.

A fundamental question in developmental biology is how the early embryo breaks initial symmetry to establish the spatial coordinate system later important for the organisation of the embryonic body plan. In zebrafish, this is thought to depend on the inheritance of maternal mRNAs [[1][1]–[3][2]], cortical rotation to generate a dorsal pole of beta-catenin activity [[4][3]–[8][4]] and the release of Nodal signals from the yolk syncytial layer (YSL) [[9][5]–[12][6]]. Recent work aggregating mouse embryonic stem cells has shown that symmetry breaking can occur in the absence of extra-embryonic tissue [[19][7],[20][8]]. To test whether this is also true in zebrafish, we separated embryonic cells from the yolk and allowed them to develop as aggregates. These aggregates break symmetry autonomously to form elongated structures with an anterior-posterior pattern. Extensive cell mixing shows that any pre-existing asymmetry is lost prior to the breaking morphological symmetry, revealing that the maternal pre-pattern is not strictly required for early embryo patterning. Following early signalling events after isolation of embryonic cells reveals that a pole of Nodal activity precedes and is required for elongation. The blocking of PCP-dependent convergence and extension movements disrupts the establishment of opposing poles of BMP and Wnt/TCF activity and the patterning of anterior-posterior neural tissue. These results lead us to suggest that convergence and extension plays a causal role in the establishment of morphogen gradients and pattern formation during zebrafish gastrulation. [1]: #ref-1 [2]: #ref-3 [3]: #ref-4 [4]: #ref-8 [5]: #ref-9 [6]: #ref-12 [7]: #ref-19 [8]: #ref-20

Light-sheet imaging data associated with Development (2018) 145 , [dev166728][1] (doi: [10.1242/dev.166728][2]) are now available in the Image Data Repository with an explanatory Data Note hosted by Wellcome Open Research.The corrected Data availability section is shown below and both the online

During gastrulation, embryonic cells become specified into distinct germ layers. In mouse, this continues throughout somitogenesis from a population of bipotent stem cells called neuromesodermal progenitors (NMps). However, the degree of self-renewal associated with NMps in the fast-developing zebrafish embryo is unclear. Using a genetic clone-tracing method, we labelled early embryonic progenitors and found a strong clonal similarity between spinal cord and mesoderm tissues. We followed individual cell lineages using light-sheet imaging, revealing a common neuromesodermal lineage contribution to a subset of spinal cord tissue across the anterior-posterior body axis. An initial population subdivides at mid-gastrula stages and is directly allocated to neural and mesodermal compartments during gastrulation. A second population in the tailbud undergoes delayed allocation to contribute to the neural and mesodermal compartment only at late somitogenesis. Cell tracking and retrospective cell fate assignment at late somitogenesis stages reveal these cells to be a collection of mono-fated progenitors. Our results suggest that NMps are a conserved population of bipotential progenitors, the lineage of which varies in a species-specific manner due to vastly different rates of differentiation and growth.

Summary Much of humanity relies on rice ( Oryza sativa ) as a food source, but cultivation is water intensive and the crop is vulnerable to drought and high temperatures. Under climate change, periods of reduced water availability and high temperature are expected to become more frequent, leading to detrimental effects on rice yields. We engineered the high‐yielding rice cultivar ‘ IR 64’ to produce fewer stomata by manipulating the level of a developmental signal. We overexpressed the rice epidermal patterning factor Os EPF 1 , creating plants with substantially reduced stomatal density and correspondingly low stomatal conductance. Low stomatal density rice lines were more able to conserve water, using c . 60% of the normal amount between weeks 4 and 5 post germination. When grown at elevated atmospheric CO 2 , rice plants with low stomatal density were able to maintain their stomatal conductance and survive drought and high temperature (40°C) for longer than control plants. Low stomatal density rice gave equivalent or even improved yields, despite a reduced rate of photosynthesis in some conditions. Rice plants with fewer stomata are drought tolerant and more conservative in their water use, and they should perform better in the future when climate change is expected to threaten food security.