Literature DB >> 19457175

Microsatellite analysis of genetic diversity among clinical and nonclinical Saccharomyces cerevisiae isolates suggests heterozygote advantage in clinical environments.

Ludo A H Muller1, John H McCusker.   

Abstract

The genetic structure of a global sample of 170 clinical and nonclinical Saccharomyces cerevisiae isolates was analysed using 12 microsatellite markers. High levels of genetic diversity were revealed both among the clinical and among the nonclinical S. cerevisiae isolates without significant differentiation between these two groups of isolates, rendering a single origin of pathogenic isolates unlikely. This suggests that S. cerevisiae is a true opportunistic pathogen, with a diversity of unrelated genetic backgrounds able to cause infections in humans, and that the ability of S. cerevisiae isolates to cause infections is likely due to a combination of their phenotypic plasticity and the immune system status of the exposed individuals. As was previously reported for bread, beer and wine strains and for environmental S. cerevisiae isolates, the microsatellite genotypes indicated ploidy level variation, from possibly haploid up to tetraploid, among clinical S. cerevisiae isolates. However, rather than haploid, sporulation proficiency and spore viability data indicated that most S. cerevisiae isolates that were mono-allelic at all examined microsatellite loci were likely homothallic and self-diploidized. Interestingly, the proportion of heterozygous clinical isolates was found to be significantly higher than the proportion of heterozygous nonclinical isolates, suggesting a selective advantage of heterozygous S. cerevisiae yeasts in clinical environments.

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Year:  2009        PMID: 19457175      PMCID: PMC2768266          DOI: 10.1111/j.1365-294X.2009.04234.x

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  37 in total

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2.  On the origins of wine yeast.

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Journal:  Methods Enzymol       Date:  1991       Impact factor: 1.600

4.  Epidemiological investigation of vaginal Saccharomyces cerevisiae isolates by a genotypic method.

Authors:  M J McCullough; K V Clemons; C Farina; J H McCusker; D A Stevens
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5.  Selection of hypervariable microsatellite loci for the characterization of Saccharomyces cerevisiae strains.

Authors:  Jean-Luc Legras; Olivier Ruh; Didier Merdinoglu; Francis Karst
Journal:  Int J Food Microbiol       Date:  2005-06-25       Impact factor: 5.277

6.  Typing of Saccharomyces cerevisiae clinical strains by using microsatellite sequence polymorphism.

Authors:  J Y Malgoire; S Bertout; F Renaud; J M Bastide; M Mallié
Journal:  J Clin Microbiol       Date:  2005-03       Impact factor: 5.948

7.  Using principle component analysis to compare genetic diversity across polyploidy levels within plant complexes: an example from British Restharrows (Ononis spinosa and Ononis repens).

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8.  Globally panmictic population structure in the opportunistic fungal pathogen Aspergillus sydowii.

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Journal:  Mol Ecol       Date:  2008-09       Impact factor: 6.185

9.  Genome renewal: a new phenomenon revealed from a genetic study of 43 strains of Saccharomyces cerevisiae derived from natural fermentation of grape musts.

Authors:  R K Mortimer; P Romano; G Suzzi; M Polsinelli
Journal:  Yeast       Date:  1994-12       Impact factor: 3.239

10.  The yeast spore wall enables spores to survive passage through the digestive tract of Drosophila.

Authors:  Alison E Coluccio; Rachael K Rodriguez; Maurice J Kernan; Aaron M Neiman
Journal:  PLoS One       Date:  2008-08-06       Impact factor: 3.240

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  21 in total

1.  Known mutator alleles do not markedly increase mutation rate in clinical Saccharomyces cerevisiae strains.

Authors:  Daniel A Skelly; Paul M Magwene; Brianna Meeks; Helen A Murphy
Journal:  Proc Biol Sci       Date:  2017-04-12       Impact factor: 5.349

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Authors:  L A H Muller; J E Lucas; D R Georgianna; J H McCusker
Journal:  Mol Ecol       Date:  2011-08-31       Impact factor: 6.185

Review 3.  Polyploidy in fungi: evolution after whole-genome duplication.

Authors:  Warren Albertin; Philippe Marullo
Journal:  Proc Biol Sci       Date:  2012-04-04       Impact factor: 5.349

4.  Outcrossing, mitotic recombination, and life-history trade-offs shape genome evolution in Saccharomyces cerevisiae.

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Journal:  Proc Natl Acad Sci U S A       Date:  2011-01-18       Impact factor: 11.205

Review 5.  Baker's Yeast Clinical Isolates Provide a Model for How Pathogenic Yeasts Adapt to Stress.

Authors:  Vandana Raghavan; Charles F Aquadro; Eric Alani
Journal:  Trends Genet       Date:  2019-09-13       Impact factor: 11.639

Review 6.  Revisiting Mortimer's Genome Renewal Hypothesis: heterozygosity, homothallism, and the potential for adaptation in yeast.

Authors:  Paul M Magwene
Journal:  Adv Exp Med Biol       Date:  2014       Impact factor: 2.622

7.  Polygenic cis-regulatory adaptation in the evolution of yeast pathogenicity.

Authors:  Hunter B Fraser; Sasha Levy; Arun Chavan; Hiral B Shah; J Christian Perez; Yiqi Zhou; Mark L Siegal; Himanshu Sinha
Journal:  Genome Res       Date:  2012-05-29       Impact factor: 9.043

8.  Biogeographical characterization of Saccharomyces cerevisiae wine yeast by molecular methods.

Authors:  Rosanna Tofalo; Giorgia Perpetuini; Maria Schirone; Giuseppe Fasoli; Irene Aguzzi; Aldo Corsetti; Giovanna Suzzi
Journal:  Front Microbiol       Date:  2013-06-24       Impact factor: 5.640

9.  Phenotypic landscape of Saccharomyces cerevisiae during wine fermentation: evidence for origin-dependent metabolic traits.

Authors:  Carole Camarasa; Isabelle Sanchez; Pascale Brial; Frédéric Bigey; Sylvie Dequin
Journal:  PLoS One       Date:  2011-09-16       Impact factor: 3.240

10.  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

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