Metabolic EngineeringMicrobiologyPeer-reviewed journal article
Evolution guided tolerance engineering of Pseudomonas putida KT2440 for production of the sustainable aviation fuel precursor isoprenol
Hyun Gyu LimiD, Aparajitha SrinivasaniD, Russel Navarro Menchavez, Ian Sofian YunusiD, Myung Hyun NohiD, Megan White, Yan CheniD, Jennifer W. GiniD, Bernhard Ørn PalssoniD, Taek Soon LeeiD, Christopher J. PetzoldiD, Thomas EngiD, Aindrila MukhopadhyayiD, Adam M. FeistiD
Abstract
Isoprenol (3-methyl-3-buten-1-ol) is a sustainable aviation fuel precursor and commodity chemical which can be microbially synthesized from renewable carbon streams. Its production has been demonstrated in Pseudomonas putida KT2440 but its titers, rates, and yields have yet to reach commercially viable levels, potentially due to its inherent toxicity. We hypothesized that utilization of Tolerization Adaptive Laboratory Evolution (TALE) would generate P. putida hosts more tolerant to isoprenol and suitable for enhanced production phenotypes. Here, we performed a comprehensive TALE campaign using three strains, the wild-type and two strains lacking subsets of known isoprenol catabolism and transport functions in quadruplicate independently evolved lineages. Several evolved clones from each starting strain displayed robust growth (up to 0.2 h-1) at 8 g/L of isoprenol, where starting strains could not grow. Whole genome resequencing of the 12 independent strain lineages identified convergent mutations. Reverse engineering four commonly mutated regions individually (gnuR, ttgB-PP_1394, PP_3024-PP_5558, PP_1695) each resulted in a partial recovery of the tolerance phenotypes observed in the evolved strains. Additionally, a proteomics-guided deletion of the master motility regulator, fleQ, in an evolved clone alleviated the tolerance vs. production trade-off, restoring isoprenol titers and consumption to levels observed in the starting strains. Collectively, this work demonstrated that an integrated strategy of laboratory evolution and rational engineering was effective to develop robust biofuel production hosts with minimized product toxicity.
- organism: bacteria (other)
- assay: proteomics
- research focus: drug response / drug discovery
- approach: experimental assay
- Citations
- 13
- FWCI
- 3.89
- Field percentile
- top 5%
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