期刊
BIOTECHNOLOGY FOR BIOFUELS
卷 8, 期 -, 页码 -出版社
BMC
DOI: 10.1186/s13068-015-0241-z
关键词
Evolutionary engineering; Genome shuffling; Reverse engineering; Complex trait; Tolerance; Yeast
资金
- NSERC [GHGPJ322381]
- NSERC Bioconversion Network [NETGP350246-07]
- AAFC Agricultural Bioproducts Innovation Program [ABTP_000159]
- BioFuelNet
- Canada Research Chair
- Le Fonds Quebecois de la Recherche sur la Nature et les Technologies
Background: Identifying the genetic basis of complex microbial phenotypes is currently a major barrier to our understanding of multigenic traits and our ability to rationally design biocatalysts with highly specific attributes for the biotechnology industry. Here, we demonstrate that strain evolution by meiotic recombination-based genome shuffling coupled with deep sequencing can be used to deconstruct complex phenotypes and explore the nature of multigenic traits, while providing concrete targets for strain development. Results: We determined genomic variations found within Saccharomyces cerevisiae previously evolved in our laboratory by genome shuffling for tolerance to spent sulphite liquor. The representation of these variations was backtracked through parental mutant pools and cross-referenced with RNA-seq gene expression analysis to elucidate the importance of single mutations and key biological processes that play a role in our trait of interest. Our findings pinpoint novel genes and biological determinants of lignocellulosic hydrolysate inhibitor tolerance in yeast. These include the following: protein homeostasis constituents, including Ubp7p and Art5p, related to ubiquitin-mediated proteolysis; stress response transcriptional repressor, Nrg1p; and NADPH-dependent glutamate dehydrogenase, Gdh1p. Reverse engineering a prominent mutation in ubiquitin-specific protease gene UBP7 in a laboratory S. cerevisiae strain effectively increased spent sulphite liquor tolerance. Conclusions: This study advances understanding of yeast tolerance mechanisms to inhibitory substrates and biocatalyst design for a biomass-to-biofuel/biochemical industry, while providing insights into the process of mutation accumulation that occurs during genome shuffling.
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