Literature DB >> 22714405

Parallel genetic changes and nonparallel gene-environment interactions characterize the evolution of drug resistance in yeast.

Aleeza C Gerstein1, Dara S Lo, Sarah P Otto.   

Abstract

Beneficial mutations are required for adaptation to novel environments, yet the range of mutational pathways that are available to a population has been poorly characterized, particularly in eukaryotes. We assessed the genetic changes of the first mutations acquired during adaptation to a novel environment (exposure to the fungicide, nystatin) in 35 haploid lines of Saccharomyces cerevisiae. Through whole-genome resequencing we found that the genomic scope for adaptation was narrow; all adapted lines acquired a mutation in one of four late-acting genes in the ergosterol biosynthesis pathway, with very few other mutations found. Lines that acquired different ergosterol mutations in the same gene exhibited very similar tolerance to nystatin. All lines were found to have a cost relative to wild type in an unstressful environment; the level of this cost was also strongly correlated with the ergosterol gene bearing the mutation. Interestingly, we uncovered both positive and negative effects on tolerance to other harsh environments for mutations in the different ergosterol genes, indicating that these beneficial mutations have effects that differ in sign among environmental challenges. These results demonstrate that although the genomic target was narrow, different adaptive mutations can lead populations down different evolutionary pathways, with respect to their ability to tolerate (or succumb to) other environmental challenges.

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Year:  2012        PMID: 22714405      PMCID: PMC3430539          DOI: 10.1534/genetics.112.142620

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  52 in total

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3.  Drug susceptibilities of yeast cells are affected by membrane lipid composition.

Authors:  Kasturi Mukhopadhyay; Avmeet Kohli; Rajendra Prasad
Journal:  Antimicrob Agents Chemother       Date:  2002-12       Impact factor: 5.191

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5.  Evolvability of an RNA virus is determined by its mutational neighbourhood.

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6.  Evolutionary paths to antibiotic resistance under dynamically sustained drug selection.

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7.  Parallel changes in gene expression after 20,000 generations of evolution in Escherichiacoli.

Authors:  Tim F Cooper; Daniel E Rozen; Richard E Lenski
Journal:  Proc Natl Acad Sci U S A       Date:  2003-01-21       Impact factor: 11.205

8.  Functional profiling of the Saccharomyces cerevisiae genome.

Authors:  Guri Giaever; Angela M Chu; Li Ni; Carla Connelly; Linda Riles; Steeve Véronneau; Sally Dow; Ankuta Lucau-Danila; Keith Anderson; Bruno André; Adam P Arkin; Anna Astromoff; Mohamed El-Bakkoury; Rhonda Bangham; Rocio Benito; Sophie Brachat; Stefano Campanaro; Matt Curtiss; Karen Davis; Adam Deutschbauer; Karl-Dieter Entian; Patrick Flaherty; Francoise Foury; David J Garfinkel; Mark Gerstein; Deanna Gotte; Ulrich Güldener; Johannes H Hegemann; Svenja Hempel; Zelek Herman; Daniel F Jaramillo; Diane E Kelly; Steven L Kelly; Peter Kötter; Darlene LaBonte; David C Lamb; Ning Lan; Hong Liang; Hong Liao; Lucy Liu; Chuanyun Luo; Marc Lussier; Rong Mao; Patrice Menard; Siew Loon Ooi; Jose L Revuelta; Christopher J Roberts; Matthias Rose; Petra Ross-Macdonald; Bart Scherens; Greg Schimmack; Brenda Shafer; Daniel D Shoemaker; Sharon Sookhai-Mahadeo; Reginald K Storms; Jeffrey N Strathern; Giorgio Valle; Marleen Voet; Guido Volckaert; Ching-yun Wang; Teresa R Ward; Julie Wilhelmy; Elizabeth A Winzeler; Yonghong Yang; Grace Yen; Elaine Youngman; Kexin Yu; Howard Bussey; Jef D Boeke; Michael Snyder; Peter Philippsen; Ronald W Davis; Mark Johnston
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Review 9.  Microbial laboratory evolution in the era of genome-scale science.

Authors:  Tom M Conrad; Nathan E Lewis; Bernhard Ø Palsson
Journal:  Mol Syst Biol       Date:  2011-07-05       Impact factor: 11.429

10.  Cryptic fitness advantage: diploids invade haploid populations despite lacking any apparent advantage as measured by standard fitness assays.

Authors:  Aleeza C Gerstein; Sarah P Otto
Journal:  PLoS One       Date:  2011-12-09       Impact factor: 3.240

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  28 in total

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Journal:  Proc Biol Sci       Date:  2016-10-26       Impact factor: 5.349

2.  Mutational effects depend on ploidy level: all else is not equal.

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Journal:  Biol Lett       Date:  2012-10-10       Impact factor: 3.703

3.  Genetic Paths to Evolutionary Rescue and the Distribution of Fitness Effects Along Them.

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4.  Evolutionary convergence in experimental Pseudomonas populations.

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5.  Too much of a good thing: the unique and repeated paths toward copper adaptation.

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Journal:  Genetics       Date:  2014-12-17       Impact factor: 4.562

6.  Asymmetrical dose responses shape the evolutionary trade-off between antifungal resistance and nutrient use.

Authors:  Philippe C Després; Angel F Cisneros; Emilie M M Alexander; Ria Sonigara; Cynthia Gagné-Thivierge; Alexandre K Dubé; Christian R Landry
Journal:  Nat Ecol Evol       Date:  2022-09-01       Impact factor: 19.100

7.  Heterozygote Advantage Is a Common Outcome of Adaptation in Saccharomyces cerevisiae.

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Journal:  Genetics       Date:  2016-05-18       Impact factor: 4.562

8.  A new insight into arable weed adaptive evolution: mutations endowing herbicide resistance also affect germination dynamics and seedling emergence.

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Review 9.  The enduring utility of continuous culturing in experimental evolution.

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10.  Crowded growth leads to the spontaneous evolution of semistable coexistence in laboratory yeast populations.

Authors:  Evgeni M Frenkel; Michael J McDonald; J David Van Dyken; Katya Kosheleva; Gregory I Lang; Michael M Desai
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