Synchronization in Embryonic Development
Study reveals how cells synchronize during development, impacting tissue formation.
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Synchronization is a key concept that appears in many different areas of science, including biology. One of the most fascinating examples of synchronization occurs during the development of vertebrate embryos. In this process, groups of cells in the mesoderm, which is one of the layers formed during embryo development, start to coordinate their activities. These cells behave in a rhythmic manner that affects how they grow and organize into structures like the backbone.
The Segmentation Clock
A specific aspect of this synchronization is the segmentation clock, which is a system that helps form Somites. Somites are the building blocks for structures like vertebrae, muscles, and skin. The segmentation clock operates through a molecular mechanism where cells repeatedly turn on and off certain genes in a rhythmic way. Over the years, research has shown that several signaling pathways and proteins are crucial for this process.
One of the key pathways involved is called the Notch Signaling Pathway. This pathway has been found to operate in many different species, including chickens, mice, zebrafish, and snakes. The activity of the Notch pathway helps cells communicate with each other, allowing them to stay in sync. This is done through a feedback mechanism involving proteins known as the Hes family. These proteins help regulate when genes are turned on or off, maintaining the rhythmic behavior of the cells.
Questions About Synchronization
While scientists have made significant progress in understanding the details of how these molecular Oscillators work, there are still some basic questions that remain unanswered. For instance, how do the cells know what their neighbors are doing? Do they speed up or slow down based on the activity of nearby cells? Additionally, is the communication between cells equal, or does it differ depending on the situation?
To investigate these questions, researchers aimed to find out the rules of synchronization between two oscillators that have similar but slightly different behaviors. They used a theoretical model called the Kuramoto model, which is popular in studying synchronization. According to this model, two oscillators adjust their phases through a type of connection that can either help align them or create a difference between them.
Experimental Approach
To test their ideas, researchers designed an experiment using a method called the Randomization Assay For Low input (RAFL). In this setup, they took cells from two different embryos and mixed them together while keeping track of their original phases. This made it possible to see how the mixed cells behaved over time and how their rhythms changed.
The researchers monitored the oscillations in real time and compared the behaviors of the mixed cell group to the unmixed groups. This allowed them to investigate the effects of synchronization in a controlled way.
Findings on Synchronization Dynamics
Through their experiments, the researchers found some interesting patterns. In many cases, when they mixed cells from different embryos, one group of cells would dominate and pull the other group into synchronization with its rhythm. This outcome was surprising because it suggested that there is an imbalance in how synchronization occurs. The “winning” group of cells would maintain its rhythm, while the “losing” group adjusted its activity to match the winner.
This so-called “winner-takes-it-all” synchronization was not expected based on the Kuramoto model, which predicted a different outcome where both oscillators would average their phases. In cases where the oscillators were almost in opposite phases, the losing group would shift its phase dramatically to align with the winning group.
Theoretical Modeling of Coupling Rules
To better understand this unusual form of synchronization, the researchers turned to mathematical modeling. They created a simplified model that captured the behavior of the oscillators in the mixed group. This new model, called the Rectified Kuramoto (ReKu) model, was designed to account for the asymmetry observed in the experiments.
In this model, the response of the oscillators to each other was not uniform. Instead, it favored one oscillator over the other, based on their initial phases. The model allowed for the possibility that one oscillator could remain unchanged while the other adapted to its rhythm. This double asymmetry in the coupling rules helped explain the dominance seen in the experimental data.
Investigating Other Models
While the ReKu model fit the experimental observations well, the researchers also looked at other coupling models to see if they could explain the results. One alternative was the Kuramoto-Sakaguchi (KS) model, which introduces a phase shift in the coupling. However, this model did not account for the behavior seen in the experiments, especially for phase shifts close to opposite phases.
Another alternative was the pulsed-coupling model, where an oscillator sends strong signals only at certain phases. While this could lead to synchronization, it required very strong coupling to achieve results similar to those in the experiments. So, the researchers concluded that the double asymmetry in the ReKu model was essential for explaining the synchronization dynamics observed.
Linking Results to Biological Context
These findings have broader implications for understanding how synchronization works in living systems. In living embryos, as cells develop, their rhythmic behaviors can change over time. This leads to patterns that can affect how structures like the spine and muscles form.
Interestingly, while the experiments showed that cells could adjust their rhythms to synchronize, this might not necessarily mean the same thing happens in vivo (in a living organism). The processes in real embryos might involve more complex interactions, where the spatial organization of cells affects how they synchronize.
Overall, the research highlights the importance of studying these synchronization mechanisms in embryos. It provides insights into cellular communication and how individual behaviors can lead to coordinated actions in groups of cells, which is essential for proper development. Understanding these mechanisms may also open new avenues for exploring how similar processes occur in other biological systems outside of embryonic development.
Title: Nonreciprocal synchronization in embryonic oscillator ensembles
Abstract: Synchronization of coupled oscillators is a universal phenomenon encountered across different scales and contexts e.g., chemical wave patterns, superconductors and the unison applause we witness in concert halls. The existence of common underlying coupling rules define universality classes, revealing a fundamental sameness between seemingly distinct systems. Identifying rules of synchronization in any particular setting is hence of paramount relevance. Here, we address the coupling rules within an embryonic oscillator ensemble linked to vertebrate embryo body axis segmentation. In vertebrates, the periodic segmentation of the body axis involves synchronized signaling oscillations in cells within the presomitic mesoderm (PSM), from which somites, the pre-vertebrae, form. At the molecular level, it is known that intact Notch-signaling and cell-to-cell contact is required for synchronization between PSM cells. However, an understanding of the coupling rules is still lacking. To identify these, we develop a novel experimental assay that enables direct quantification of synchronization dynamics within mixtures of oscillating cell ensembles, for which the initial input frequency and phase distribution are known. Our results reveal a "winner-takes-it-all" synchronization outcome i.e., the emerging collective rhythm matches one of the input rhythms. Using a combination of theory and experimental validation, we develop a new coupling model, the "Rectified Kuramoto" (ReKu) model, characterized by a phase-dependent, non-reciprocal interaction in the coupling of oscillatory cells. Such non-reciprocal synchronization rules reveal fundamental similarities between embryonic oscillators and a class of collective behaviours seen in neurons and fireflies, where higher level computations are performed and linked to non-reciprocal synchronization.
Authors: Alexander Aulehla, C. Ho, L. Jutras-Dube, M. Zhao, G. Mönke, I. Z. Kiss, P. Francois
Last Update: 2024-01-31 00:00:00
Language: English
Source URL: https://www.biorxiv.org/content/10.1101/2024.01.29.577856
Source PDF: https://www.biorxiv.org/content/10.1101/2024.01.29.577856.full.pdf
Licence: https://creativecommons.org/licenses/by/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
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