Literature DB >> 22150948

Genetic mapping of quantitative phenotypic traits in Saccharomyces cerevisiae.

Steve Swinnen1, Johan M Thevelein, Elke Nevoigt.   

Abstract

Saccharomyces cerevisiae has become a favorite production organism in industrial biotechnology presenting new challenges to yeast engineers in terms of introducing advantageous traits such as stress tolerances. Exploring subspecies diversity of S. cerevisiae has identified strains that bear industrially relevant phenotypic traits. Provided that the genetic basis of such phenotypic traits can be identified inverse engineering allows the targeted modification of production strains. Most phenotypic traits of interest in S. cerevisiae strains are quantitative, meaning that they are controlled by multiple genetic loci referred to as quantitative trait loci (QTL). A straightforward approach to identify the genetic basis of quantitative traits is QTL mapping which aims at the allocation of the genetic determinants to regions in the genome. The application of high-density oligonucleotide arrays and whole-genome re-sequencing to detect genetic variations between strains has facilitated the detection of large numbers of molecular markers thus allowing high-resolution QTL mapping over the entire genome. This review focuses on the basic principle and state of the art of QTL mapping in S. cerevisiae. Furthermore we discuss several approaches developed during the last decade that allow down-scaling of the regions identified by QTL mapping to the gene level. We also emphasize the particular challenges of QTL mapping in nonlaboratory strains of S. cerevisiae.
© 2011 Federation of European Microbiological Societies. Published by Blackwell Publishing Ltd. All rights reserved.

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Year:  2012        PMID: 22150948     DOI: 10.1111/j.1567-1364.2011.00777.x

Source DB:  PubMed          Journal:  FEMS Yeast Res        ISSN: 1567-1356            Impact factor:   2.796


  28 in total

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Authors:  Peng Geng; Liang Zhang; Gui Yang Shi
Journal:  World J Microbiol Biotechnol       Date:  2017-04-12       Impact factor: 3.312

2.  Auxotrophic Mutations Reduce Tolerance of Saccharomyces cerevisiae to Very High Levels of Ethanol Stress.

Authors:  Steve Swinnen; Annelies Goovaerts; Kristien Schaerlaekens; Françoise Dumortier; Pieter Verdyck; Kris Souvereyns; Griet Van Zeebroeck; María R Foulquié-Moreno; Johan M Thevelein
Journal:  Eukaryot Cell       Date:  2015-06-26

3.  Identification of novel causative genes determining the complex trait of high ethanol tolerance in yeast using pooled-segregant whole-genome sequence analysis.

Authors:  Steve Swinnen; Kristien Schaerlaekens; Thiago Pais; Jürgen Claesen; Georg Hubmann; Yudi Yang; Mekonnen Demeke; María R Foulquié-Moreno; Annelies Goovaerts; Kris Souvereyns; Lieven Clement; Françoise Dumortier; Johan M Thevelein
Journal:  Genome Res       Date:  2012-03-07       Impact factor: 9.043

4.  Evolutionary engineering of a glycerol-3-phosphate dehydrogenase-negative, acetate-reducing Saccharomyces cerevisiae strain enables anaerobic growth at high glucose concentrations.

Authors:  Víctor Guadalupe-Medina; Benjamin Metz; Bart Oud; Charlotte M van Der Graaf; Robert Mans; Jack T Pronk; Antonius J A van Maris
Journal:  Microb Biotechnol       Date:  2013-09-04       Impact factor: 5.813

5.  Genomic sequence diversity and population structure of Saccharomyces cerevisiae assessed by RAD-seq.

Authors:  Gareth A Cromie; Katie E Hyma; Catherine L Ludlow; Cecilia Garmendia-Torres; Teresa L Gilbert; Patrick May; Angela A Huang; Aimée M Dudley; Justin C Fay
Journal:  G3 (Bethesda)       Date:  2013-12-09       Impact factor: 3.154

6.  Comparative polygenic analysis of maximal ethanol accumulation capacity and tolerance to high ethanol levels of cell proliferation in yeast.

Authors:  Thiago M Pais; María R Foulquié-Moreno; Georg Hubmann; Jorge Duitama; Steve Swinnen; Annelies Goovaerts; Yudi Yang; Françoise Dumortier; Johan M Thevelein
Journal:  PLoS Genet       Date:  2013-06-06       Impact factor: 5.917

7.  Genotyping 1000 yeast strains by next-generation sequencing.

Authors:  Stefan Wilkening; Manu M Tekkedil; Gen Lin; Emilie S Fritsch; Wu Wei; Julien Gagneur; David W Lazinski; Andrew Camilli; Lars M Steinmetz
Journal:  BMC Genomics       Date:  2013-02-09       Impact factor: 3.969

8.  Identification of multiple interacting alleles conferring low glycerol and high ethanol yield in Saccharomyces cerevisiae ethanolic fermentation.

Authors:  Georg Hubmann; Lotte Mathé; Maria R Foulquié-Moreno; Jorge Duitama; Elke Nevoigt; Johan M Thevelein
Journal:  Biotechnol Biofuels       Date:  2013-06-11       Impact factor: 6.040

9.  QTL analysis of high thermotolerance with superior and downgraded parental yeast strains reveals new minor QTLs and converges on novel causative alleles involved in RNA processing.

Authors:  Yudi Yang; Maria R Foulquié-Moreno; Lieven Clement; Eva Erdei; An Tanghe; Kristien Schaerlaekens; Françoise Dumortier; Johan M Thevelein
Journal:  PLoS Genet       Date:  2013-08-15       Impact factor: 5.917

10.  An evaluation of high-throughput approaches to QTL mapping in Saccharomyces cerevisiae.

Authors:  Stefan Wilkening; Gen Lin; Emilie S Fritsch; Manu M Tekkedil; Simon Anders; Raquel Kuehn; Michelle Nguyen; Raeka S Aiyar; Michael Proctor; Nikita A Sakhanenko; David J Galas; Julien Gagneur; Adam Deutschbauer; Lars M Steinmetz
Journal:  Genetics       Date:  2013-12-27       Impact factor: 4.562

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