Open Access
Improving industrial yeast strains: exploiting natural and artificial diversity
Author(s) -
Steensels Jan,
Snoek Tim,
Meersman Esther,
Nicolino Martina Picca,
Voordeckers Karin,
Verstrepen Kevin J.
Publication year - 2014
Publication title -
fems microbiology reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.91
H-Index - 212
eISSN - 1574-6976
pISSN - 0168-6445
DOI - 10.1111/1574-6976.12073
Subject(s) - biology , yeast , microbiology and biotechnology , genetic diversity , selection (genetic algorithm) , saccharomyces cerevisiae , computational biology , adaptation (eye) , synthetic biology , yeast in winemaking , biochemical engineering , genome , genetics , gene , computer science , engineering , artificial intelligence , population , demography , neuroscience , sociology
Abstract Yeasts have been used for thousands of years to make fermented foods and beverages, such as beer, wine, sake, and bread. However, the choice for a particular yeast strain or species for a specific industrial application is often based on historical, rather than scientific grounds. Moreover, new biotechnological yeast applications, such as the production of second‐generation biofuels, confront yeast with environments and challenges that differ from those encountered in traditional food fermentations. Together, this implies that there are interesting opportunities to isolate or generate yeast variants that perform better than the currently used strains. Here, we discuss the different strategies of strain selection and improvement available for both conventional and nonconventional yeasts. Exploiting the existing natural diversity and using techniques such as mutagenesis, protoplast fusion, breeding, genome shuffling and directed evolution to generate artificial diversity, or the use of genetic modification strategies to alter traits in a more targeted way, have led to the selection of superior industrial yeasts. Furthermore, recent technological advances allowed the development of high‐throughput techniques, such as ‘global transcription machinery engineering’ ( gTME ), to induce genetic variation, providing a new source of yeast genetic diversity.