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Updated: Sep 12, 2025

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The yEvo Mutation Browser: Enhancing student understanding of experimental evolution and genomics through interactive

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Experimental evolution in classrooms using yeast (yEvo) helps students study genetic adaptation. A new web tool, the yEvo Mutation Browser, simplifies analyzing yeast genome sequencing data for better understanding of evolution.

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Area of Science:

  • Genetics and Evolutionary Biology
  • Bioinformatics and Computational Biology
  • Science Education

Background:

  • Experimental evolution allows studying genotype-phenotype relationships under controlled selective pressures.
  • The yEvo program uses baker's yeast (Saccharomyces cerevisiae) in high school classrooms to teach molecular genetics and evolution.
  • Analyzing whole-genome sequencing data from evolved yeast presents challenges for students in identifying significant mutations.

Purpose of the Study:

  • To develop an intuitive web tool, the yEvo Mutation Browser, for visualizing and contextualizing genome sequencing data.
  • To assist students and researchers in interpreting genetic changes resulting from experimental evolution.
  • To provide a platform for comparing experimental evolution datasets with existing yEvo data.

Main Methods:

  • The yEvo Mutation Browser was developed using R Shiny.
  • The tool features an interactive chromosome map, mutation type categorization graphs, and a gene viewer.
  • It allows users to upload and compare their own datasets with yEvo data collected since 2018.

Main Results:

  • The yEvo Mutation Browser effectively visualizes mutated genes and their locations.
  • It categorizes mutation types and aids in identifying phenotypically relevant mutations.
  • The tool facilitates the comparison of diverse experimental evolution datasets.

Conclusions:

  • The yEvo Mutation Browser streamlines the interpretation of genetic adaptation data from experimental evolution.
  • It enhances student understanding of how organisms adapt to environmental stress through genetic changes.
  • The tool has potential applications for other model organisms in research and education.