| Abstract Detail
What can Next Generation Fungal Genome Sequencing do for you? Hittinger, Chris Todd [1]. Saccharomyces evolutionary genomics and beyond. Although the budding yeast Saccharomyces cerevisiae has illuminated key features of eukaryotic molecular biology and plays dominant roles in several fermentation industries, its close relatives have received comparatively little attention. Here we report on the population and phylogenomics of the genus Saccharomyces with an emphasis on the early diverging sister species S. eubayanus and S. uvarum. Both species are prevalent and have diverse, parapatric populations in Patagonia, South America. Rare Northern Hemisphere isolates have lower genetic diversity and gave rise to interspecies hybrids used in the fermentation of several beverages, including lager beers and some wines, ciders, and Belgian beers. The broader subphylum Saccharomycotina includes approximately 1,000 additional described species, and the Y1000+ Project is in the early stages of sequencing the genomes of every known species. These diverse yeasts harbor more genetic diversity than vertebrates, have evolved some traits repeatedly, and include lineages that have evolved rare traits, such as xylose fermentation, the accumulation of large quantities of fatty acids, and aerobic fermentation or Crabtree-Warburg Effect. This rich dataset will allow us to reconstruct half a billion years of yeast evolution and provide a scaffold for yeast evolutionary, biotechnological, ecological, metabolic, and genetics research. We report on early results and seek community input to maximize the impact of the project.
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Related Links:
http://hittinger.genetics.wisc.edu
1 - University of Wisconsin-Madison, Laboratory of Genetics, 425-G Henry Mall, 4102 Genetics/Biotechnology Center, Madison, WI, 53706, USA
Keywords:
genomics
Evolution
yeasts
Saccharomyces
Saccharomycotina.
Presentation Type: Symposium Presentation
Session: SY09
Location: Salon 3/The Shaw Conference Centre
Date: Tuesday, July 28th, 2015
Time: 11:15 AM
Number: SY09008
Abstract ID:876
Candidate for Awards:None |
