» Articles » PMID: 36738854

Laboratory Evolution Reveals General and Specific Tolerance Mechanisms for Commodity Chemicals

Abstract

Although strain tolerance to high product concentrations is a barrier to the economically viable biomanufacturing of industrial chemicals, chemical tolerance mechanisms are often unknown. To reveal tolerance mechanisms, an automated platform was utilized to evolve Escherichia coli to grow optimally in the presence of 11 industrial chemicals (1,2-propanediol, 2,3-butanediol, glutarate, adipate, putrescine, hexamethylenediamine, butanol, isobutyrate, coumarate, octanoate, hexanoate), reaching tolerance at concentrations 60%-400% higher than initial toxic levels. Sequencing genomes of 223 isolates from 89 populations, reverse engineering, and cross-compound tolerance profiling were employed to uncover tolerance mechanisms. We show that: 1) cells are tolerized via frequent mutation of membrane transporters or cell wall-associated proteins (e.g., ProV, KgtP, SapB, NagA, NagC, MreB), transcription and translation machineries (e.g., RpoA, RpoB, RpoC, RpsA, RpsG, NusA, Rho), stress signaling proteins (e.g., RelA, SspA, SpoT, YobF), and for certain chemicals, regulators and enzymes in metabolism (e.g., MetJ, NadR, GudD, PurT); 2) osmotic stress plays a significant role in tolerance when chemical concentrations exceed a general threshold and mutated genes frequently overlap with those enabling chemical tolerance in membrane transporters and cell wall-associated proteins; 3) tolerization to a specific chemical generally improves tolerance to structurally similar compounds whereas a tradeoff can occur on dissimilar chemicals, and 4) using pre-tolerized starting isolates can hugely enhance the subsequent production of chemicals when a production pathway is inserted in many, but not all, evolved tolerized host strains, underpinning the need for evolving multiple parallel populations. Taken as a whole, this study provides a comprehensive genotype-phenotype map based on identified mutations and growth phenotypes for 223 chemical tolerant isolates.

Citing Articles

Modeling for understanding and engineering metabolism.

Nielsen J, Petranovic D QRB Discov. 2025; 6:e11.

PMID: 40070847 PMC: 11894412. DOI: 10.1017/qrd.2025.1.


Escherichia coli growing under antimicrobial gallium nitrate stress reveals new processes of tolerance and toxicity.

Salazar-Aleman D, Turner R Sci Rep. 2025; 15(1):1389.

PMID: 39789098 PMC: 11718255. DOI: 10.1038/s41598-025-85772-y.


Genome reduction improves octanoic acid production in scale down bioreactors.

Cordell W, Avolio G, Takors R, Pfleger B Microb Biotechnol. 2024; 17(11):e70034.

PMID: 39506351 PMC: 11540873. DOI: 10.1111/1751-7915.70034.


Efficient Broad-Spectrum Cyanophage Function Module Mining.

Guo Y, Dong X, Li H, Lin W, Cao L, Li D Microorganisms. 2024; 12(8).

PMID: 39203420 PMC: 11356776. DOI: 10.3390/microorganisms12081578.


Meta-analysis Driven Strain Design for Mitigating Oxidative Stresses Important in Biomanufacturing.

Phaneuf P, Kim S, Rychel K, Rode C, Beulig F, Palsson B ACS Synth Biol. 2024; 13(7):2045-2059.

PMID: 38934464 PMC: 11264330. DOI: 10.1021/acssynbio.3c00572.