ArticleApplied and environmental microbiology2012
Recovery of phenotypes obtained by adaptive evolution through inverse metabolic engineering.
Article in Applied and environmental microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Coupling High-Throughput and Targeted Screening for Identification of Nonobvious Metabolic Engineering Targets.ACS synthetic biology · 2024Article
- Microbial adaptive evolution.Journal of industrial microbiology & biotechnology · 2022Review
- High-throughput functional variant screens via in vivo production of single-stranded DNA.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Pentose Metabolism in Saccharomyces cerevisiae: The Need to Engineer Global Regulatory Systems.Biotechnology journal · 2019Review
- Nutrient sensing and signaling in the yeast Saccharomyces cerevisiae.FEMS microbiology reviews · 2014Review
- Identification of multiple interacting alleles conferring low glycerol and high ethanol yield in Saccharomyces cerevisiae ethanolic fermentation.Biotechnology for biofuels · 2013Article
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2 authors.
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Abstract
In a previous study, system level analysis of adaptively evolved yeast mutants showing improved galactose utilization revealed relevant mutations. The governing mutations were suggested to be in the Ras/PKA signaling pathway and ergosterol metabolism. Here, site-directed mutants having one of the mutations RAS2(Lys77), RAS2(Tyr112), and ERG5(Pro370) were constructed and evaluated. The mutants were also combined with overexpression of PGM2, earlier proved as a beneficial target for galactose utilization. The constructed strains were analyzed for their gross phenotype, transcriptome and targeted metabolites, and the results were compared to those obtained from reference strains and the evolved strains. The RAS2(Lys77) mutation resulted in the highest specific galactose uptake rate among all of the strains with an increased maximum specific growth rate on galactose. The RAS2(Tyr112) mutation also improved the specific galactose uptake rate and also resulted in many transcriptional changes, including ergosterol metabolism. The ERG5(Pro370) mutation only showed a small improvement, but when it was combined with PGM2 overexpression, the phenotype was almost the same as that of the evolved mutants. Combination of the RAS2 mutations with PGM2 overexpression also led to a complete recovery of the adaptive phenotype in galactose utilization. Recovery of the gross phenotype by the reconstructed mutants was achieved with much fewer changes in the genome and transcriptome than for the evolved mutants. Our study demonstrates how the identification of specific mutations by systems biology can direct new metabolic engineering strategies for improving galactose utilization by yeast.
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