2024 ASM Conference for Undergraduate Educators

DNA from microbial communities can be sequenced and assembled to learn about the microbes potentially present in unique environments. Powerful computational tools, along with more accessible sequencing technologies, have made metagenome-assembled genome (MAG) analysis possible in course-based settings. However, the computational methods and assumptions surrounding MAGs and their use for understanding the microbes in biomes are often complex and intimidating to new users. The BIT 477/577 Metagenomics course enrolls undergraduate and graduate students in a half-semester lab experience. We hypothesized that collaborative annotation of specific bioinformatics research articles paired with student application of tools using guided case studies with the powerful KBase bioinformatics portal would improve learning key MAG concepts. Pre- and post-quizzes and student confidence with bioinformatics tools were used to assess students, and annotations were quantified and analyzed qualitatively. Data has been collected over several semesters using consistent assessments, reading assignments, and KBase narratives. Gains were found for specific MAG analysis concepts and data interpretation. However, misconceptions continue, and confidence in bioinformatics approaches varies. Additional exploration of qualitative data may suggest concepts to reinforce and resources to support learners. Combining KBase, social annotation, guided case studies, and assessments successfully promotes student understanding of MAGs and the assumptions associated with their creation and use.