%0 Journal Article %1 Portnoy2011Adaptive %A Portnoy, Vasiliy A. %A Bezdan, Daniela %A Zengler, Karsten %D 2011 %J Current Opinion in Biotechnology %K adaptation evolution metabolic-engineering %N 4 %P 590--594 %R 10.1016/j.copbio.2011.03.007 %T Adaptive laboratory evolution—harnessing the power of biology for metabolic engineering %U http://dx.doi.org/10.1016/j.copbio.2011.03.007 %V 22 %X Adaptive laboratory evolution (ALE) strategies allow for the metabolic engineering of microorganisms by combining genetic variation with the selection of beneficial mutations in an unbiased fashion. These ALE strategies have been proven highly effective in the optimization of production strains. In contrast to rational engineering strategies and directed modification of specific enzymes, ALE has the advantage of letting nonintuitive beneficial mutations occur in many different genes and regulatory regions in parallel. So far, the majority of applications of ALE in metabolic engineering have used well-characterized platform organisms such as Saccharomyces cerevisiae and Escherichia coli; however, applications for other microorganisms are on the rise. This review will focus on current applications of ALE as a tool for metabolic engineering and discuss advancements and achievements that have been made in this field. ► Adaptive laboratory evolution (ALE) as a tool for metabolic engineering. ► Latent pathway activation by ALE. ► ALE has successfully been used to optimize the phenotype of a microorganism. ► Adaptation to changing environments by ALE.

@article{Portnoy2011Adaptive, abstract = {Adaptive laboratory evolution ({ALE}) strategies allow for the metabolic engineering of microorganisms by combining genetic variation with the selection of beneficial mutations in an unbiased fashion. These {ALE} strategies have been proven highly effective in the optimization of production strains. In contrast to rational engineering strategies and directed modification of specific enzymes, {ALE} has the advantage of letting nonintuitive beneficial mutations occur in many different genes and regulatory regions in parallel. So far, the majority of applications of {ALE} in metabolic engineering have used well-characterized platform organisms such as Saccharomyces cerevisiae and Escherichia coli; however, applications for other microorganisms are on the rise. This review will focus on current applications of {ALE} as a tool for metabolic engineering and discuss advancements and achievements that have been made in this field. ► Adaptive laboratory evolution ({ALE}) as a tool for metabolic engineering. ► Latent pathway activation by {ALE}. ► {ALE} has successfully been used to optimize the phenotype of a microorganism. ► Adaptation to changing environments by {ALE}.}, added-at = {2018-12-02T16:09:07.000+0100}, author = {Portnoy, Vasiliy A. and Bezdan, Daniela and Zengler, Karsten}, biburl = {https://www.bibsonomy.org/bibtex/278d750df5c9fa901fc76549451105efa/karthikraman}, citeulike-article-id = {9195656}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.copbio.2011.03.007}, doi = {10.1016/j.copbio.2011.03.007}, interhash = {0a995084e8b0a659c7117d7162618e22}, intrahash = {78d750df5c9fa901fc76549451105efa}, issn = {09581669}, journal = {Current Opinion in Biotechnology}, keywords = {adaptation evolution metabolic-engineering}, month = aug, number = 4, pages = {590--594}, posted-at = {2011-04-29 09:31:29}, priority = {2}, timestamp = {2018-12-02T16:09:07.000+0100}, title = {Adaptive laboratory evolution—harnessing the power of biology for metabolic engineering}, url = {http://dx.doi.org/10.1016/j.copbio.2011.03.007}, volume = 22, year = 2011 }