Literature DB >> 17537182

Single QTL mapping and nucleotide-level resolution of a physiologic trait in wine Saccharomyces cerevisiae strains.

Philippe Marullo1, Michel Aigle, Marina Bely, Isabelle Masneuf-Pomarède, Pascal Durrens, Denis Dubourdieu, Gaël Yvert.   

Abstract

Natural Saccharomyces cerevisiae yeast strains exhibit very large genotypic and phenotypic diversity. However, the link between phenotype variation and genetic determinism is still difficult to identify, especially in wild populations. Using genome hybridization on DNA microarrays, it is now possible to identify single-feature polymorphisms among divergent yeast strains. This tool offers the possibility of applying quantitative genetics to wild yeast strains. In this instance, we studied the genetic basis for variations in acetic acid production using progeny derived from two strains from grape must isolates. The trait was quantified during alcoholic fermentation of the two strains and 108 segregants derived from their crossing. A genetic map of 2212 markers was generated using oligonucleotide microarrays, and a major quantitative trait locus (QTL) was mapped with high significance. Further investigations showed that this QTL was due to a nonsynonymous single-nucleotide polymorphism that targeted the catalytic core of asparaginase type I (ASP1) and abolished its activity. This QTL was only effective when asparagine was used as a major nitrogen source. Our results link nitrogen assimilation and CO(2) production rate to acetic acid production, as well as, on a broader scale, illustrating the specific problem of quantitative genetics when working with nonlaboratory microorganisms.

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Year:  2007        PMID: 17537182     DOI: 10.1111/j.1567-1364.2007.00252.x

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


  49 in total

1.  Sequential elimination of major-effect contributors identifies additional quantitative trait loci conditioning high-temperature growth in yeast.

Authors:  Himanshu Sinha; Lior David; Renata C Pascon; Sandra Clauder-Münster; Sujatha Krishnakumar; Michelle Nguyen; Getao Shi; Jed Dean; Ronald W Davis; Peter J Oefner; John H McCusker; Lars M Steinmetz
Journal:  Genetics       Date:  2008-09-09       Impact factor: 4.562

2.  Combining bulk segregation analysis and microarrays for mapping of the pH trait in melon.

Authors:  Amir Sherman; Ravit Eshed; Rotem Harel-Beja; Galil Tzuri; Vitaly Portnoy; Shahar Cohen; Mor Rubinstein; Arthur A Schaffer; Joseph Burger; Nurit Katzir; Ron Ophir
Journal:  Theor Appl Genet       Date:  2012-10-16       Impact factor: 5.699

3.  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

4.  QTL mapping: an innovative method for investigating the genetic determinism of yeast-bacteria interactions in wine.

Authors:  Louise Bartle; Emilien Peltier; Joanna F Sundstrom; Krista Sumby; James G Mitchell; Vladimir Jiranek; Philippe Marullo
Journal:  Appl Microbiol Biotechnol       Date:  2021-06-09       Impact factor: 4.813

5.  Sequential use of nitrogen compounds by Saccharomyces cerevisiae during wine fermentation: a model based on kinetic and regulation characteristics of nitrogen permeases.

Authors:  Lucie Crépin; Thibault Nidelet; Isabelle Sanchez; Sylvie Dequin; Carole Camarasa
Journal:  Appl Environ Microbiol       Date:  2012-09-14       Impact factor: 4.792

6.  A Gondwanan imprint on global diversity and domestication of wine and cider yeast Saccharomyces uvarum.

Authors:  Pedro Almeida; Carla Gonçalves; Sara Teixeira; Diego Libkind; Martin Bontrager; Isabelle Masneuf-Pomarède; Warren Albertin; Pascal Durrens; David James Sherman; Philippe Marullo; Chris Todd Hittinger; Paula Gonçalves; José Paulo Sampaio
Journal:  Nat Commun       Date:  2014-06-02       Impact factor: 14.919

7.  Genetic interactions between transcription factors cause natural variation in yeast.

Authors:  Justin Gerke; Kim Lorenz; Barak Cohen
Journal:  Science       Date:  2009-01-23       Impact factor: 47.728

8.  Natural genetic variation in yeast longevity.

Authors:  Stefan W Stumpferl; Sue E Brand; James C Jiang; Boguslawa Korona; Anurag Tiwari; Jianliang Dai; Jae-Gu Seo; S Michal Jazwinski
Journal:  Genome Res       Date:  2012-09-05       Impact factor: 9.043

Review 9.  Flavour-active wine yeasts.

Authors:  Antonio G Cordente; Christopher D Curtin; Cristian Varela; Isak S Pretorius
Journal:  Appl Microbiol Biotechnol       Date:  2012-09-01       Impact factor: 4.813

Review 10.  Advances in quantitative trait analysis in yeast.

Authors:  Gianni Liti; Edward J Louis
Journal:  PLoS Genet       Date:  2012-08-16       Impact factor: 5.917

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