Engineering genetic codes to control the evolution of so-encoded biological systems

Placeholder Show Content

Abstract/Contents

Abstract
All life on Earth reads DNA into proteins using the same genetic code or a close variant. But what if it didn't? Here, I introduce a theory of genetic codes and their effect on the evolution of so-encoded genetic systems. I propose a class of genetic codes that penalize mutations by introducing "null codons" that cannot be readily translated and cause the ribosome to stall. I show that these "fail-safe" codes, in theory, slow the evolution of so-encoded organisms. They are "intrinsically" biocontained, being outcompeted by native species upon release or escape. I show experimentally that we can build decoders capable of reading differently-encoded DNA using defined in vitro translation systems with code-specific synthetic tRNAs. Finally, I learned design principles for encoding DNA in different genetic codes by recoding the φX174 bacteriophage genome. I propose concrete steps to further advance fail-safe code engineering, specifically to routinize the building of defined synthetic biological systems up to whole living cells.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2023; ©2023
Publication date 2023; 2023
Issuance monographic
Language English

Creators/Contributors

Author Calles, Jonathan Elias
Degree supervisor Endy, Andrew D
Thesis advisor Endy, Andrew D
Thesis advisor Brophy, Jennifer
Thesis advisor Covert, Markus
Degree committee member Brophy, Jennifer
Degree committee member Covert, Markus
Associated with Stanford University, School of Engineering
Associated with Stanford University, Department of Bioengineering

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Jonathan Elias Calles.
Note Submitted to the Department of Bioengineering.
Thesis Thesis Ph.D. Stanford University 2023.
Location https://purl.stanford.edu/gk649bs9723

Access conditions

Copyright
© 2023 by Jonathan Elias Calles
License
This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).

Also listed in

Loading usage metrics...