Bacteria tolerant to organic solvents View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1998-08

AUTHORS

S. Isken, Jan A. M. de Bont

ABSTRACT

The toxic effects that organic solvents have on whole cells is an important drawback in the application of these solvents in environmental biotechnology and in the production of fine chemicals by whole-cell biotransformations. Hydrophobic organic solvents, such as toluene, are toxic for living organisms because they accumulate in and disrupt cell membranes. The toxicity of a compound correlates with the logarithm of its partition coefficient with octanol and water (log Pow). Substances with a log Pow value between 1 and 5 are, in general, toxic for whole cells. However, in recent years different bacterial strains have been isolated and characterized that can adapt to the presence of organic solvents. These strains grow in the presence of a second phase of solvents previously believed to be lethal. Different mechanisms contributing to the solvent tolerance of these strains have been found. Alterations in the composition of the cytoplasmic and outer membrane have been described. These adaptations suppress the effects of the solvents on the membrane stability or limit the rate of diffusion into the membrane. Furthermore, changes in the rate of the biosynthesis of the phospholipids were reported to accelerate repair processes. In addition to these adaptation mechanisms compensating the toxic effect of the organic solvents, mechanisms do exist that actively decrease the amount of the toxic solvent in the cells. An efflux system actively decreasing the amount of solvents in the cell has been described recently. We review here the current knowledge about exceptional strains that can grow in the presence of toxic solvents and the mechanisms responsible for their survival. More... »

PAGES

229-238

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s007920050065

DOI

http://dx.doi.org/10.1007/s007920050065

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1005862923

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/9783170


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