Abstract
Background: The minimal gene set for life has often been theorised, with at least ten produced for Mycoplasma genitalium (M. genitalium). Due to the difficulty of using M. genitalium in the lab, combined with its long replication time of 12 - 15 hours, none of these theoretical minimal genomes have been tested, even with modern techniques. The publication of the M. genitalium whole-cell model provided the first opportunity to test them, simulating the genome edits in-silico.
Results: We simulated eight minimal gene sets from the literature, finding that they produced in-silico cells that did not divide. Using knowledge from previous research, we reintroduced specific essential and low essential genes in-silico; this enabled the cells to divide.
Conclusions: This reinforces the need to identify species-specific low essential genes and their interactions. Any genome designs created using the currently incomplete and fragmented gene essentiality information, will very likely require in-vivo reintroductions to correct issues and produce dividing cells.
Results: We simulated eight minimal gene sets from the literature, finding that they produced in-silico cells that did not divide. Using knowledge from previous research, we reintroduced specific essential and low essential genes in-silico; this enabled the cells to divide.
Conclusions: This reinforces the need to identify species-specific low essential genes and their interactions. Any genome designs created using the currently incomplete and fragmented gene essentiality information, will very likely require in-vivo reintroductions to correct issues and produce dividing cells.
Original language | English |
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Journal | Genome Biology |
Publication status | Submitted - 10 Sep 2020 |
Structured keywords
- Bristol BioDesign Institute
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Student Theses
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Minimal Genome Design and Engineering: Algorithms and whole-cell Models
Author: Rees-Garbutt, J. P., 26 Nov 2020Supervisor: Marucci, L. (Supervisor) & Grierson, C. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
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