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Evolution-guided optimization of biosynthetic pathways
Ist Teil von
Proceedings of the National Academy of Sciences - PNAS, 2014-12, Vol.111 (50), p.17803-17808
Ort / Verlag
United States: National Academy of Sciences
Erscheinungsjahr
2014
Quelle
MEDLINE
Beschreibungen/Notizen
Significance Microbes can be made to produce industrially valuable chemicals in high quantities by engineering their central metabolic pathways. This process may require evaluating billions of cells, each containing a unique pathway design, to identify the rare cells with high production phenotypes. We mutated targeted locations across the genome to modify several genes identified as key players. We used sensory proteins responsive to a number of target chemicals to couple the concentration of the target chemical in each cell to individual cell fitness. This coupling of chemical production to fitness allows us to harness evolution to progressively enrich superior pathway designs. Through iterations of genetic diversification and selection, we increased the production of naringenin and glucaric acid 36- and 22-fold, respectively.
Engineering biosynthetic pathways for chemical production requires extensive optimization of the host cellular metabolic machinery. Because it is challenging to specify a priori an optimal design, metabolic engineers often need to construct and evaluate a large number of variants of the pathway. We report a general strategy that combines targeted genome-wide mutagenesis to generate pathway variants with evolution to enrich for rare high producers. We convert the intracellular presence of the target chemical into a fitness advantage for the cell by using a sensor domain responsive to the chemical to control a reporter gene necessary for survival under selective conditions. Because artificial selection tends to amplify unproductive cheaters, we devised a negative selection scheme to eliminate cheaters while preserving library diversity. This scheme allows us to perform multiple rounds of evolution (addressing ∼10 ⁹ cells per round) with minimal carryover of cheaters after each round. Based on candidate genes identified by flux balance analysis, we used targeted genome-wide mutagenesis to vary the expression of pathway genes involved in the production of naringenin and glucaric acid. Through up to four rounds of evolution, we increased production of naringenin and glucaric acid by 36- and 22-fold, respectively. Naringenin production (61 mg/L) from glucose was more than double the previous highest titer reported. Whole-genome sequencing of evolved strains revealed additional untargeted mutations that likely benefit production, suggesting new routes for optimization.