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

Spontaneous mutation, or random genetic change during normal organism function, and random mutagenesis are widely employed by biologists to investigate cell function. The mutation rate of any genetic locus is commonly defined as the probability of mutation μ = M/N. That is, the number of mutations i...

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Autores principales: Pryce L. Haddix, Clark A. Danderson
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Lenguaje:EN
Publicado: American Society for Microbiology 2018
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spelling oai:doaj.org-article:35086a080cbf426fbc99b4bae4cb9e692021-11-15T15:04:11ZMutation Rate Simulation by Dice Roll: Practice with the Drake Equation10.1128/jmbe.v19i2.15491935-78851935-7877https://doaj.org/article/35086a080cbf426fbc99b4bae4cb9e692018-01-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/jmbe.v19i2.1549https://doaj.org/toc/1935-7877https://doaj.org/toc/1935-7885Spontaneous mutation, or random genetic change during normal organism function, and random mutagenesis are widely employed by biologists to investigate cell function. The mutation rate of any genetic locus is commonly defined as the probability of mutation μ = M/N. That is, the number of mutations is assumed to be equal to the number of mutant organisms M following N cell division events to produce a population size of N + 1 cells. Measuring the rate of mutant organism production is technically cumbersome due to the need to quantify both mutant and total cell numbers from multiple independent cultures; such measurements are often not feasible for the undergraduate biology laboratory. We present here a simple classroom probability exercise that simulates the production of mutant organisms and measures mutation rate using the Drake equation. This exercise and data analysis may be completed in one hour’s time and without microbial cultivation.Pryce L. HaddixClark A. DandersonAmerican Society for MicrobiologyarticleSpecial aspects of educationLC8-6691Biology (General)QH301-705.5ENJournal of Microbiology & Biology Education, Vol 19, Iss 2 (2018)
institution DOAJ
collection DOAJ
language EN
topic Special aspects of education
LC8-6691
Biology (General)
QH301-705.5
spellingShingle Special aspects of education
LC8-6691
Biology (General)
QH301-705.5
Pryce L. Haddix
Clark A. Danderson
Mutation Rate Simulation by Dice Roll: Practice with the Drake Equation
description Spontaneous mutation, or random genetic change during normal organism function, and random mutagenesis are widely employed by biologists to investigate cell function. The mutation rate of any genetic locus is commonly defined as the probability of mutation μ = M/N. That is, the number of mutations is assumed to be equal to the number of mutant organisms M following N cell division events to produce a population size of N + 1 cells. Measuring the rate of mutant organism production is technically cumbersome due to the need to quantify both mutant and total cell numbers from multiple independent cultures; such measurements are often not feasible for the undergraduate biology laboratory. We present here a simple classroom probability exercise that simulates the production of mutant organisms and measures mutation rate using the Drake equation. This exercise and data analysis may be completed in one hour’s time and without microbial cultivation.
format article
author Pryce L. Haddix
Clark A. Danderson
author_facet Pryce L. Haddix
Clark A. Danderson
author_sort Pryce L. Haddix
title Mutation Rate Simulation by Dice Roll: Practice with the Drake Equation
title_short Mutation Rate Simulation by Dice Roll: Practice with the Drake Equation
title_full Mutation Rate Simulation by Dice Roll: Practice with the Drake Equation
title_fullStr Mutation Rate Simulation by Dice Roll: Practice with the Drake Equation
title_full_unstemmed Mutation Rate Simulation by Dice Roll: Practice with the Drake Equation
title_sort mutation rate simulation by dice roll: practice with the drake equation
publisher American Society for Microbiology
publishDate 2018
url https://doaj.org/article/35086a080cbf426fbc99b4bae4cb9e69
work_keys_str_mv AT prycelhaddix mutationratesimulationbydicerollpracticewiththedrakeequation
AT clarkadanderson mutationratesimulationbydicerollpracticewiththedrakeequation
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