Abstract
Microbiology increasingly relies upon bioinformatics to understand complex microbial interactions. Nevertheless, biology undergraduates often lack the basic quantitative and computer-based skills required for bioinformatics analyses. To address these issues, the course module 'A Town on Fire! 16S rRNA Gene Amplicon Analysis of Microbial Communities Overlying the Centralia, PA Mine Fire' was developed for an undergraduate microbiology lecture course. In this module, microbiology students used Quantitative Insights into Microbial Ecology to perform taxonomic, phylogenetic and statistical analyses on bacterial communities from three hot mine fire-impacted surface soils using 16S rRNA gene amplicon sequences. Pre- and post-module assessment data for each of 2 years were compiled, and indirect assessment indicated that students' confidence regarding their ability to perform bioinformatics analyses, as well as their ability to interpret bioinformatics data both increased, as did their enthusiasm for bioinformatics. Direct assessment demonstrated that students' understanding of topics that they actually used in the module, such as the statistical analyses that underlie bioinformatics investigations and the ability to infer phylogenetic relationships, improved during the module, but that their underlying understanding of techniques that they did not directly perform, such as sequencing and library construction, did not.