Engineering genetic codes to control the evolution of so-encoded biological systems
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 |
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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 |
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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 |
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Genre | Text |
Bibliographic information
Statement of responsibility | Jonathan Elias Calles. |
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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).
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