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Genotype-phenotype mapping with polyominos made from DNA origami tiles

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Dreher,  Yannik
Cellular Biophysics, Max Planck Institute for Medical Research, Max Planck Society;

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Fichtler,  Julius
Cellular Biophysics, Max Planck Institute for Medical Research, Max Planck Society;

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Karfusehr,  Christoph
Max Planck Institute for Medical Research, Max Planck Society;

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Jahnke,  Kevin
Cellular Biophysics, Max Planck Institute for Medical Research, Max Planck Society;

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Göpfrich,  Kerstin
Cellular Biophysics, Max Planck Institute for Medical Research, Max Planck Society;

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Citation

Dreher, Y., Fichtler, J., Karfusehr, C., Jahnke, K., Xin, Y., Keller, A., et al. (2022). Genotype-phenotype mapping with polyominos made from DNA origami tiles. Biophysical Journal, 121(24), 4840-4848. doi:10.1016/j.bpj.2022.09.006.


Cite as: https://hdl.handle.net/21.11116/0000-000B-314D-8
Abstract
The correlation between genetic information and characteristics of a living cell-its genotype and its phenotype-constitutes the basis of genetics. Here, we experimentally realize a primitive form of genotype-phenotype mapping with DNA origami. The DNA origami can polymerize into two-dimensional lattices (phenotype) via blunt-end stacking facilitated by edge staples at the seam of the planar DNA origami. There are 80 binding positions for edge staples, which allow us to translate an 80-bit long binary code (genotype) onto the DNA origami. The presence of an edge staple thus corresponds to a "1" and its absence to a "0." The interactions of our DNA-based system can be reproduced by a polyomino model. Polyomino growth simulations qualitatively reproduce our experimental results. We show that not only the absolute number of base stacks but also their sequence position determine the cluster size and correlation length of the orientation of single DNA origami within the cluster. Importantly, the mutation of a few bits can result in major morphology changes of the DNA origami cluster, while more often, major sequence changes have no impact. Our experimental realization of a correlation between binary information ("genotype") and cluster morphology ("phenotype") thus reproduces key properties of genotype-phenotype maps known from living systems.