Literature DB >> 35799910

A Modified Fluctuation Assay with a CAN1 Reporter in Yeast.

Pengyao Jiang1, Anja R Ollodart1,2, Maitreya J Dunham1.   

Abstract

Understanding the generation of mutations is fundamental to understanding evolution and genetic disease; however, the rarity of such events makes experimentally identifying them difficult. Mutation accumulation (MA) methods have been widely used. MA lines require serial bottlenecks to fix de novo mutations, followed by whole-genome sequencing. While powerful, this method is not suitable for exploring mutation variation among different genotypes due to its poor scalability with cost and labor. Alternatively, fluctuation assays estimate mutation rate in microorganisms by utilizing a reporter gene, in which Loss-of-function (LOF) mutations can be selected for using drugs toxic to cells containing the WT allele. Traditional fluctuation assays can estimate mutation rates but not their base change compositions. Here, we describe a new protocol that adapts traditional fluctuation assay using CAN1 reporter gene in Saccharomyces cerevisiae , followed by pooled sequencing methods, to identify both the rate and spectra of mutations in different strain backgrounds.
Copyright © The Authors; exclusive licensee Bio-protocol LLC.

Entities:  

Keywords:  CAN1 ; Fluctuation assay ; Mutation rate ; Mutation spectrum ; Saccharomyces cerevisiae

Year:  2022        PMID: 35799910      PMCID: PMC9243513          DOI: 10.21769/BioProtoc.4435

Source DB:  PubMed          Journal:  Bio Protoc        ISSN: 2331-8325


  8 in total

1.  Precise estimates of mutation rate and spectrum in yeast.

Authors:  Yuan O Zhu; Mark L Siegal; David W Hall; Dmitri A Petrov
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-20       Impact factor: 11.205

2.  Measuring Mutation Rates Using the Luria-Delbrück Fluctuation Assay.

Authors:  Gregory I Lang
Journal:  Methods Mol Biol       Date:  2018

3.  A ten-minute DNA preparation from yeast efficiently releases autonomous plasmids for transformation of Escherichia coli.

Authors:  C S Hoffman; F Winston
Journal:  Gene       Date:  1987       Impact factor: 3.688

4.  Estimating the per-base-pair mutation rate in the yeast Saccharomyces cerevisiae.

Authors:  Gregory I Lang; Andrew W Murray
Journal:  Genetics       Date:  2008-01       Impact factor: 4.562

5.  A genome-wide view of the spectrum of spontaneous mutations in yeast.

Authors:  Michael Lynch; Way Sung; Krystalynne Morris; Nicole Coffey; Christian R Landry; Erik B Dopman; W Joseph Dickinson; Kazufusa Okamoto; Shilpa Kulkarni; Daniel L Hartl; W Kelley Thomas
Journal:  Proc Natl Acad Sci U S A       Date:  2008-06-26       Impact factor: 11.205

6.  The genome-wide rate and spectrum of spontaneous mutations differ between haploid and diploid yeast.

Authors:  Nathaniel P Sharp; Linnea Sandell; Christopher G James; Sarah P Otto
Journal:  Proc Natl Acad Sci U S A       Date:  2018-05-14       Impact factor: 11.205

7.  rSalvador: An R Package for the Fluctuation Experiment.

Authors:  Qi Zheng
Journal:  G3 (Bethesda)       Date:  2017-12-04       Impact factor: 3.154

8.  A modified fluctuation assay reveals a natural mutator phenotype that drives mutation spectrum variation within Saccharomyces cerevisiae.

Authors:  Pengyao Jiang; Anja R Ollodart; Vidha Sudhesh; Alan J Herr; Maitreya J Dunham; Kelley Harris
Journal:  Elife       Date:  2021-09-15       Impact factor: 8.140

  8 in total

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