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An Optimized Genotyping Workflow for Identifying Highly SCRaMbLEd Synthetic Yeasts.
Timon A Lindeboom1, María Del Carmen Sanchez Olmos1, Karina Schulz2
1Max Planck Institute for Terrestrial Microbiology, Karl-von-Frisch-Str. 10, 35043 Marburg, Germany.
ACS Synthetic Biology
|April 10, 2024
Summary
Synthetic yeast strains (Sc2.0) can generate genomic diversity using SCRaMbLE technology. New qPCR primers (loxTags) and a primer prediction tool (qTagGer) enable efficient genotyping of these diverse yeast populations.
Area of Science:
- Synthetic biology
- Genomics
- Molecular biology
Background:
- Synthetic yeast strains (Sc2.0) possess numerous recombination sites (loxPsym) enabling genome restructuring via SCRaMbLE.
- SCRaMbLE technology can generate highly diverse yeast populations from a single genotype.
Purpose of the Study:
- To develop an efficient workflow for selecting genetically diverse yeast candidates with rearranged synthetic chromosomes.
- To introduce loxTags, qPCR primers for genotyping loxPsym sites, and qTagGer, a primer prediction tool.
Main Methods:
- Developed loxTags, a set of qPCR primers for genotyping across loxPsym sites.
- Created qTagGer, a qPCR genotyping primer prediction tool to manage numerous amplicons.
- Utilized loxTag-based genotyping and long-read sequencing.
Main Results:
- loxTags can detect deletions, inversions, and translocations after SCRaMbLE.
- Light-inducible Cre recombinase (L-SCRaMbLE) efficiently generated diverse recombination events in Sc2.0 strains.
- Demonstrated successful application on synthetic chromosome III (linear and circular versions).
Conclusions:
- loxTags and qTagGer provide an efficient workflow for analyzing SCRaMbLE-induced genomic diversity in synthetic yeast.
- L-SCRaMbLE is effective in generating complex genomic rearrangements in Sc2.0 yeast strains.
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