Literature DB >> 22807434

Teaching the fluctuation test in silico by using mutate: a program to distinguish between the adaptive and spontaneous mutation hypotheses.

Antonio Carvajal-Rodríguez1.   

Abstract

Mutate is a program developed for teaching purposes to impart a virtual laboratory class for undergraduate students of Genetics in Biology. The program emulates the so-called fluctuation test whose aim is to distinguish between spontaneous and adaptive mutation hypotheses in bacteria. The plan is to train students in certain key multidisciplinary aspects of current genetics such as sequence databases, DNA mutations, and hypothesis testing, while introducing the fluctuation test. This seminal experiment was originally performed studying Escherichia coli resistance to the infection by bacteriophage T1. The fluctuation test initiated the modern bacterial genetics that 25 years later ushered in the era of the recombinant DNA. Nowadays we know that some deletions in fhuA, the gene responsible for E. coli membrane receptor of T1, could cause the E. coli resistance to this phage. For the sake of simplicity, we will introduce the assumption that a single mutation generates the resistance to T1. During the practical, the students use the program to download some fhuA gene sequences, manually introduce some stop codon mutations, and design a fluctuation test to obtain data for distinguishing between preadaptative (spontaneous) and induced (adaptive) mutation hypotheses. The program can be launched from a browser or, if preferred, its executable file can be downloaded from http://webs.uvigo.es/acraaj/MutateWeb/Mutate.html. It requires the Java 5.0 (or higher) Runtime Environment (freely available at http://www.java.com).
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22807434     DOI: 10.1002/bmb.20615

Source DB:  PubMed          Journal:  Biochem Mol Biol Educ        ISSN: 1470-8175            Impact factor:   1.160


  1 in total

1.  Mutation Rate Simulation by Dice Roll: Practice with the Drake Equation.

Authors:  Pryce L Haddix; Clark A Danderson
Journal:  J Microbiol Biol Educ       Date:  2018-06-29
  1 in total

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