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A database of microsatellite genotypes for Saccharomyces cerevisiae

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Abstract

A system for genotyping Saccharomyces cerevisiae is described based on a multiplex of ten microsatellite loci and the MAT locus. A database of genotypes has been developed for 246 yeast strains, including a large set of commercial wine yeasts, as well as 35 sequenced natural isolates currently being sequenced. The latter allow us, for the first time, to make direct comparisons of the relationship between DNA sequence data and microsatellite-based genotypes. The genotyping system provides a rapid and valuable system for strain identification as well as studying population genetics of S. cerevisiae.

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Acknowledgments

We are grateful to a large number of research colleagues from around the world who have supplied us with yeast strains for this work: Jose Luis Barba, Meredith Blackwell, Justin Fay, Justin Gerke, Paul Henschke, Andre Lachance, Gianni Liti, Philippe Marullo, Marcos Morais, Ksenija Lopandic, John McCusker, Shawn Mansfield, Rob Nout, Karen Rogers, Jose Paulo Sampaio, Rosane Schwan, Erin Smith, Jyoti Tamang, Renata Vadkertiova, Belen Suarez Valles and Michelle Walker. We are also grateful to New Zealand winemakers who either sent samples or allowed us to collect samples from their vineyards and wineries: Michael Brajkovich (Kumeu River), Andy Frost (Pernod-Ricard), Steve Voysey (Pernod-Ricard), John Kavanagh (Neudorf), Rod McDonald (Vidals) and Justin Faulconbridge (Corbans). Finally we would like to thank Greg Wilkin (Laffort), Bruce Kirk (Scios) and Jorst Klos (Anchor), who supplied us with commercial wine strains, and Bill Timberlake for comments on the manuscript. The Sauvignon Blanc project is funded by New Zealand Foundation of Research, Science and Technology (FRST contract UOAX0404) with the support of New Zealand Winegrowers.

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Correspondence to Richard C. Gardner.

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Richards, K.D., Goddard, M.R. & Gardner, R.C. A database of microsatellite genotypes for Saccharomyces cerevisiae . Antonie van Leeuwenhoek 96, 355–359 (2009). https://doi.org/10.1007/s10482-009-9346-3

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