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UID:1064@biotech.technion.ac.il
DTSTART;TZID=Asia/Jerusalem:20211124T160000
DTEND;TZID=Asia/Jerusalem:20220202T164952
DTSTAMP:20220512T124718Z
URL:https://biotech.technion.ac.il/events/qtls-allelic-substitution-in-sac
 charomyces-cerevisiae-and-its-effect-on-ethanol-tolerance-2/
SUMMARY:QTLs allelic substitution in Saccharomyces cerevisiae\, and its Eff
 ect on ethanol tolerance
DESCRIPTION:Bioethanol is a renewable and clean energy source\, highly valu
 able especially nowadays with climate change being at high awareness. Prod
 uced by the yeast S. cerevisiae\, bioethanol is the main product of a carb
 on source fermentation. As the accumulated ethanol is toxic to the cells\,
  high ethanol tolerance is a primary demand for industrial bioethanol yeas
 t strains. Ethanol tolerance is a polygenic trait that has been previously
  mapped in our lab using a specific di-allelic strain platform. To expand 
 this knowledge\, we aimed at testing the effect of a larger allele panel a
 t each of the main QTLs mapped on ethanol tolerance. Although S. cerevisia
 e is an extensively studied and an easily manipulated organism\, almost no
  genetic engineering has been attempted on bioethanol yeast for the purpos
 e of enhancing ethanol productivity. Here we present the attempt to use th
 e Cas-9 protein\, as a genome engineering tool for allele replacement\, in
  two strains of yeast (a common laboratory strain and own-developed strain
  oriented for bioethanol production). Unfortunately\, attempts to replace 
 existing alleles in these strains by different ones using Cas-9 have faile
 d to produce results. Therefore\, a different methodology was used to asse
 ss the contribution of additional alleles to ethanol tolerance\, based on 
 genetic segregation of alleles in the F1 generation of a self-hybridized s
 train. We measured the growth ability under ethanol stress of 192 offsprin
 g and correlated them with segregating SNPs representing nine high influen
 ce QTLs. This represents the first step towards genomic based breeding to 
 improve ethanol resistance and production.
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DTSTART:20211031T010000
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