Redundancy and the role of protein copy numbers in the cell polarization machinery of budding yeast

Journal Article (2020)
Author(s)

Fridtjof Brauns (University of California, Ludwig Maximilians University)

Leila M. Iñigo de la Cruz (TU Delft - Applied Sciences, Kavli institute of nanoscience Delft)

Werner K.G. Daalman (TU Delft - Applied Sciences, Kavli institute of nanoscience Delft)

Ilse de Bruin (Student TU Delft)

Jacob Halatek (Ludwig Maximilians University)

Liedewij Laan (Kavli institute of nanoscience Delft, TU Delft - Applied Sciences)

Erwin Frey (Max Planck School Matter to Life, Munich, Ludwig Maximilians University)

Research Group
BN/Liedewij Laan Lab
DOI related publication
https://doi.org/10.1038/s41467-023-42100-0 Final published version
More Info
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Publication Year
2020
Language
English
Research Group
BN/Liedewij Laan Lab
Bibliographical Note
DOI 10.1038/s41467-023-42928-6 author correction the author name Leila Iñigo de la Cruz was incorrectly written as Leila M. Iñigo de la Cruz. The original article has been corrected.
Journal title
Nature Communications
Issue number
1
Volume number
14
Article number
6504
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Abstract

How can a self-organized cellular function evolve, adapt to perturbations, and acquire new sub-functions? To make progress in answering these basic questions of evolutionary cell biology, we analyze, as a concrete example, the cell polarity machinery of Saccharomyces cerevisiae. This cellular module exhibits an intriguing resilience: it remains operational under genetic perturbations and recovers quickly and reproducibly from the deletion of one of its key components. Using a combination of modeling, conceptual theory, and experiments, we propose that multiple, redundant self-organization mechanisms coexist within the protein network underlying cell polarization and are responsible for the module’s resilience and adaptability. Based on our mechanistic understanding of polarity establishment, we hypothesize that scaffold proteins, by introducing new connections in the existing network, can increase the redundancy of mechanisms and thus increase the evolvability of other network components. Moreover, our work gives a perspective on how a complex, redundant cellular module might have evolved from a more rudimental ancestral form.