Richard Feynman, one of the most respected physicists of the twentieth century, said "What I cannot create, I do not understand". Not surprisingly, many physicists and mathematicians have observed fundamental biological processes with the aim of precisely identifying the minimum ingredients that could generate them. One such example are the patterns of nature observed by Alan Turing. The brilliant English mathematician demonstrated in 1952 that it was possible to explain how a completely homogeneous tissue could be used to create a complex embryo, and he did so using one of the simplest, most elegant mathematical models ever written. One of the results of such models is that the symmetry shown by a cell or a tissue can "break" under a set of conditions. However, Turing was not able to test his ideas, and it took over 70 years before a breakthrough in biology technique was able to evaluate them decisively. Can Turing's dream be made a reality through Feynman's proposal? Genetic engineering has proved it can.
Now, a research team from the Institute of Evolutionary Biology (IBE), a joint centre of UPF and the Spanish National Research Council (CSIC), has developed a new type of model and its implementation using synthetic biology can reproduce the symmetry breakage observed in embryos with the minimum amount of ingredients possible.
The research team has managed to implement via synthetic biology (by introducing parts of genes of other species into the E. coli bacteria) a mechanism to generate spatial patterns observed in more complex animals, such as Drosophila melanogaster (fruit fly) or humans. In the study, the team observed that the strains of modified E. coli, which normally grow in (symmetrical) circular patterns, do as in the shape of a flower with petals at regular intervals, just as Turing had predicted.
"We wanted to build symmetry breaking that is never seen in colonies of E. coli, but is seen in patterns of animals, and then to discover which are the essential ingredients needed to generate these patterns", says Salva Duran-Nebreda, who conducted this research for his doctorate in the Complex Systems laboratory and is currently a postdoctoral researcher at the IBE Evolution of Technology laboratory.
Bacteria E. coli forming patterns induced by the new synthetic system. Credit: Jordi Pla /ACS.
Using the new synthetic platform, the research team was able to identify the parameters that modulate the emergence of spatial patterns in E. coli . "We have seen that by modulating three ingredients we can induce symmetry breaking. In essence, we have altered cell division, adhesion between cells and long-distance communication capacity (quorum sensing), that is to say, perceive when there is a collective decision", Duran-Nebreda comments.
The observations made in the E. coli model could be applied to more complex animal models or to insect colony design principles. "In the same way that organoids or miniature organs can help us develop therapies without having to resort to animal models, this synthetic system paves the way to understanding as universal a phenomenon as embryonic development in a far simpler in vitro system", says Ricard Sol, ICREA researcher with the Complex Systems group at the IBE, and head of the research.
The model developed in this study, the first of its kind, could be key to understanding some embryonic development events. "We must think of this synthetic system as a platform for learning to design different fundamental biological mechanisms that generate structures, such as the step from a zygote to the formation of a complete organism. Moreover, such knowledge on the frontier between mechanical and biological processes, could be very useful for understanding developmental disorders", Duran-Nebreda concludes.
Reference: Duran-Nebreda S, Pla J, Vidiella B, Piero J, Conde-Pueyo N, Sol R. Synthetic Lateral Inhibition in Periodic Pattern Forming Microbial Colonies. ACS Synth Biol. 2021. doi:10.1021/acssynbio.0c00318.
This article has been republished from the following materials. Note: material may have been edited for length and content. For further information, please contact the cited source.
Recommendation and review posted by G. Smith