Journal article
Overcoming genetic heterogeneity in industrial fermentations
Engineering the synthesis of massive amounts of therapeutics, enzymes or commodity chemicals can select for subpopulations of nonproducer cells, owing to metabolic burden and product toxicity. Deep DNA sequencing can be used to detect undesirable genetic heterogeneity in producer populations and diagnose associated genetic error modes.
Hotspots of genetic heterogeneity can pinpoint mechanisms that underlie load problems and product toxicity. Understanding genetic heterogeneity will inform metabolic engineering and synthetic biology strategies to minimize the emergence of nonproducer mutants in scaled-up fermentations and maximize product quality and yield.
Language: | English |
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Publisher: | Nature Publishing Group US |
Year: | 2019 |
Pages: | 869-876 |
Journal subtitle: | Science and Business of Biotechnology |
ISSN: | 15461696 and 10870156 |
Types: | Journal article |
DOI: | 10.1038/s41587-019-0171-6 |
ORCIDs: | Rugbjerg, Peter and Sommer, Morten Otto Alexander |