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1 March 2018 Modeling the Emergence of Antibiotic Resistance in Bacterial Populations
Michelle A. Williams, Patricia J. Friedrichsen, Troy D. Sadler, Pamela J. B. Brown
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Abstract

Since antibiotics have become routinely used to treat infections, antibiotic resistance is now an emerging concern for public health. To understand how bacteria become resistant to antibiotics, many students draw from the common misconception that bacteria gain resistance upon antibiotic exposure. We have designed models and a corresponding lab that explores how a population of bacteria can evolve antibiotic resistance, with emphasis on dispelling common misconceptions surrounding the mechanism of antibiotic resistance. Using an antibiotic disk diffusion assay, students compare the antibiotic resistance level of a harmless E. coli strain of bacteria over time. Then, students compare their lab data to the models, which together illustrate the roles that initial genetic variation and random mutation play in the evolution of antibiotic resistance. In this guided investigation, basic microbiology concepts and techniques are made accessible to students in a high school classroom. The models developed here are in line with the practices of the Next Generation Science Standards (NGSS). The models, together with the lab, are used to guide students through the process of argumentation using a claim, evidence, and reasoning (CER) format to explain the evolutionary mechanisms of antibiotic resistance.

© 2018 National Association of Biology Teachers. All rights reserved. Please direct all requests for permission to photocopy or reproduce article content through the University of California Press's Reprints and Permissions web page, www.ucpress.edu/journals.php?p=reprints.
Michelle A. Williams, Patricia J. Friedrichsen, Troy D. Sadler, and Pamela J. B. Brown "Modeling the Emergence of Antibiotic Resistance in Bacterial Populations," The American Biology Teacher 80(3), 214-220, (1 March 2018). https://doi.org/10.1525/abt.2018.80.3.214
Published: 1 March 2018
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