Tissue Organization: When cells get in the flow

New imaging approaches question a long-standing model for how the eyes of fruit flies acquire their geometric patterning.
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  1. Giovanna M Collu
  2. Marek Mlodzik  Is a corresponding author
  1. Department of Cell, Developmental and Regenerative Biology, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, United States

Take a close look at the skin of a bird or a mammal, and you will observe an impressively regular pattern of hair follicles or feathers interspersed with epidermal skin cells (Ho et al., 2019; Sick et al., 2006; Stark et al., 2007). A strikingly similar organization exists in the eyes of the developing fruit fly Drosophila, with clusters of photoreceptor neurons regularly distributed amongst epithelial support cells. Each cluster will go on to form one facet in the compound adult eye (Heberlein and Treisman, 2000).

Several theoretical models have been proposed to explain how such intricate spacing patterns emerge. The ‘reaction-diffusion model’ suggested by Alan Turing, for example, postulates that cells developing as a feather bud secrete an inhibitor around themselves to stop equivalent structures from forming too closely (Turing, 1997; Figure 1A). Now, in eLife, Kevin Gallagher, Madhav Mani and Richard Carthew – who are all based at Northwestern University – report on new observations that challenge this view, proposing an alternative mechanism that relies on complex cell movements during development (Gallagher et al., 2022).

A new model for how the fly eye acquires its patterning during development.

(A) In birds and mammals, the epidermis features a geometric patterning, with feathers or hair follicles having regular spacing between them. According to the reaction-diffusion model, this …

During the fruit fly’s larval stages, the cells that will form adult structures develop in isolated sacs called imaginal discs. During metamorphosis, the larval tissue is degraded and the discs expand and fuse to create adult structures (Figure 1B). This process is difficult to visualize as it happens inside the developing insect. Traditional approaches involve dissecting and fixing the tissue, which can only provide ‘snapshots’ at specific time points. As a response, Gallagher et al. set up a new system that allowed them to image cellular behavior ‘live’ in developing larvae, achieving high spatial and temporal resolution. To do this, they isolated discs from genetically modified flies that express fluorescent cell adhesion proteins, and cultured these structures ex vivo; this allowed the team to track cell outlines in developing larvae, and to follow their movement over time.

Gallagher et al. applied their technique to the eye disc, whose development is controlled by a wave of signals – the morphogenetic furrow – spreading over the disc from one end to the other. The cells constrict as the furrow passes over them, but it was assumed that they remained stationary through this process. Specific cell fates, and therefore the final patterning of the eye, were thought to emerge from the signaling molecules and events associated with the furrow (Heberlein and Treisman, 2000).

Yet, the results from Gallagher et al. contradict that long-standing assumption, showing instead that cells in the eye disc are very dynamic. As individual cells rearrange themselves with respect to their neighbors, they move away from any potential diffusing signal they may have been exposed to initially; this means that the Turing’s reaction-diffusion model cannot sufficiently explain how the final geometric pattern emerges in the eye. Instead, these individual motions create an overall, strikingly cohesive ‘flow’, which pushes cells towards the morphogenetic furrow.

Gallagher et al. then analyzed the cell flow mathematically and calculated how quickly cells moved depending on their position relative to the furrow. This revealed that cells undergo periodic phases of fast and slow movement, with these oscillations correlating with the precise spacing of photoreceptor clusters. Cells in defined areas behind and in front of the furrow respectively dilate or constrict, generating forces that create the periodic cell flow: the dilation pushes the cells to move away while the constriction serves as a ‘sink’ that draws the cells towards it. This means that cells flow into the spaces between photoreceptor clusters, ensuring that these are regularly spaced out (Figure 1C).

Next, Gallagher et al. examined the role of Scabrous, a protein secreted during development that affects the geometric spacing of photoreceptor clusters in unknown ways (Baker et al., 1990; Mlodzik et al., 1990). In mutant tissue lacking Scabrous, cell dilation decreases; cell flow becomes disrupted, leading to irregular spacing and tissue organization. How Scabrous regulates the dilation and flow of cells remains unclear, but the observation confirms how important organized cell flow is for tissue patterning to emerge.

As cell flow becomes one of the mechanisms known to regulate precise tissue organization, many exciting questions emerge: how is this process controlled genetically? Do signaling molecules from the morphogenetic furrow regulate cell dilation and constriction, as well as cell identity and inhibitor production? Or does cell flow regulate gene expression directly within the furrow? The new imaging approach by Gallagher et al. will help to address these questions, allowing researchers to track how signaling and cell flow cooperate to organize the eye tissue pattern.

A few recent studies focusing on the later stages of eye development in Drosophila, as well as other tissues, also highlight that cells need to move together and relative to each other (known as tissue fluidity) for an organism to develop (Founounou et al., 2021; Aigouy et al., 2010; Mongera et al., 2018). These findings are ushering in a new phase of research in organogenesis and developmental biology, allowing alternative models to emerge based on tissue fluidity, cell flow, and tissue organization.

References

  1. Book
    1. Heberlein U
    2. Treisman JE
    (2000) Early Retinal Development in Drosophila
    In: Elizabeth Fini M, editors. Vertebrate Eye Development. Springer. pp. 37–50.
    https://doi.org/10.1007/978-3-540-46826-4
    1. Turing MA
    (1997) The chemical basis of morphogenesis
    Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 237:37–72.
    https://doi.org/10.1098/rstb.1952.0012

Article and author information

Author details

  1. Giovanna M Collu

    Giovanna M Collu is the Department of Cell, Developmental and Regenerative Biology, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, United States

    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-7437-4000
  2. Marek Mlodzik

    Marek Mlodzik is the Department of Cell, Developmental and Regenerative Biology, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, United States

    For correspondence
    marek.mlodzik@mssm.edu
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-0628-3465

Acknowledgements

The authors acknowledge funding from the NIH/NIGMS (R35 GM127103).

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© 2022, Collu and Mlodzik

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

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