Microsatellite marker‐based assessment of the biodiversity of native bioethanol yeast strains

• Published in: Yeast (Chichester, England) Vol. 30; no. 8; pp. 307 - 317
• Main Authors: Antonangelo, Ana Teresa B. F., Alonso, Diego P., Ribolla, Paulo E. M., Colombi, Débora
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 01.08.2013
• Subjects: Biodiversity; biofuel; Brazil; Ethanol - metabolism; Fermentation; Genetic Variation; indigenous Saccharomyces strains; microsatellite; Microsatellite Repeats; Molecular Sequence Data; Phylogeny; Saccharomyces cerevisiae; Saccharomyces cerevisiae - classification; Saccharomyces cerevisiae - genetics; Saccharomyces cerevisiae - isolation & purification; Saccharomyces cerevisiae - metabolism; Saccharum - metabolism; Saccharum - microbiology; Brazil; microsatellite; indigenous Saccharomyces strains; biofuel
• ISSN: 0749-503X; 1097-0061
• DOI: 10.1002/yea.2964

Although many Brazilian sugar mills initiate the fermentation process by inoculating selected commercial Saccharomyces cerevisiae strains, the unsterile conditions of the industrial sugar cane ethanol fermentation process permit the constant entry of native yeast strains. Certain of those native strains are better adapted and tend to predominate over the initial strain, which may cause problems during fermentation. In the industrial fermentation process, yeast cells are often exposed to stressful environmental conditions, including prolonged cell recycling, ethanol toxicity and osmotic, oxidative or temperature stress. Little is known about these S. cerevisiae strains, although recent studies have demonstrated that heterogeneous genome architecture is exhibited by some selected well‐adapted Brazilian indigenous yeast strains that display high performance in bioethanol fermentation. In this study, 11 microsatellite markers were used to assess the genetic diversity and population structure of the native autochthonous S. cerevisiae strains in various Brazilian sugar mills. The resulting multilocus data were used to build a similarity‐based phenetic tree and to perform a Bayesian population structure analysis. The tree revealed the presence of great genetic diversity among the strains, which were arranged according to the place of origin and the collection year. The population structure analysis revealed genotypic differences among populations; in certain populations, these genotypic differences are combined to yield notably genotypically diverse individuals. The high yeast diversity observed among native S. cerevisiae strains provides new insights on the use of autochthonous high‐fitness strains with industrial characteristics as starter cultures at bioethanol plants. Copyright © 2013 John Wiley & Sons, Ltd.