Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Simultaneous in vivo enzyme and host engineering through laboratory evolution

ABSTRACT: Two genetic selection systems that couple metabolite hydroxylation or methylation of small molecules to growth of Escherichia coli are presented in this study. One system targets pterin-dependent hydroxylation (tBPt) while another focuses on S-adenosylmethionine-dependent methylation (SAM). Using adaptive laboratory evolution with growth selection, these two systems are demonstrated to not only achieve in vivo directed evolution of enzymes involved in human hormone biosynthesis but also reveal non-intuitive host factors that elude existing synthetic biology approaches. Raw sequencing data for the relevant strains generated in this study are presented here.

INSTRUMENT(S): Illumina MiSeq, NextSeq 500, Illumina HiSeq 2000

ORGANISM(S): Escherichia coli BW25113

SUBMITTER: Emre Ozdemir

PROVIDER: E-MTAB-6779 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:One of the central goals of evolutionary biology is to explain and predict the molecular basis of adaptive evolution. We studied the evolution of genetic networks in Saccharomyces cerevisiae (budding yeast) populations propagated for more than 200 generations in different nitrogen-limiting conditions. We find that rapid adaptive evolution in nitrogen-poor environments is dominated by the de novo generation and selection of copy number variants (CNVs), a large fraction of which contain genes encoding specific nitrogen transporters including PUT4, DUR3 and DAL4. The large fitness increases associated with these alleles limits the genetic heterogeneity of adapting populations even in environments with multiple nitrogen sources. Complete identification of acquired point mutations, in individual lineages and entire populations, identified heterogeneity at the level of genetic loci but common themes at the level of functional modules, including genes controlling phosphatidylinositol-3-phosphate metabolism and vacuole biogenesis. Adaptive strategies shared with other nutrient-limited environments point to selection of genetic variation in the TORC1 and Ras/PKA signaling pathways as a general mechanism underlying improved growth in nutrient-limited environments. Within a single population we observed the repeated independent selection of a multi-locus genotype, comprised of the functionally related genes GAT1, MEP2 and LST4. By studying the fitness of individual alleles, and their combination, as well as the evolutionary history of the evolving population, we find that the order in which these mutations are acquired is constrained by epistasis. The identification of repeatedly selected variation at functionally related loci that interact epistatically suggests that gene network polymorphisms (GNPs) may be a frequent outcome of adaptive evolution. Our results provide insight into the mechanistic basis by which cells adapt to nutrient-limited environments and suggest that knowledge of the selective environment and the regulatory mechanisms important for growth and survival in that environment greatly increases the predictability of adaptive evolution. DNA from each evolved clone or population is hybridized vs DNA from the ancestral strain

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Simultaneous in vivo enzyme and host engineering through laboratory evolution

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