Journal of Microbiology and Biology Education · 2015 · 12 citations · 4 references
Life SciencesBioinformaticsBiologyBiology EducationMetagenomicsScience InstructionEnvironmental MetagenomicsFunctional MetagenomicsMetagenomic AnalysisMicrobial Community ProfilingMicrobiology Instruction16S Rrna Gene PhylogenyAntibiotic Resistance ProfilingAntibiotic Resistance ScreeningFunctional Genomics ScreensLearning Gains MeasurementMicrobial MetagenomicsStudent Performance AnalysisStudent Performance Assessment
Four laboratory modules were designed for introductory biology students to explore the field of metagenomics. Students collected microbes from environmental samples, extracted the DNA, and amplified 16S rRNA gene sequences using polymerase chain reaction (PCR). Students designed functional metagenomics screens to determine and compare antibiotic resistance profiles among the samples. Bioinformatics tools were used to generate and interpret phylogenetic trees and identify homologous genes. A pretest and posttest were used to assess learning gains, and the results indicated that these modules increased student performance by an average of 22%. Here we describe ways to engage students in metagenomics-related research and provide readers with ideas for how they can start developing metagenomics exercises for their own classrooms.
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Fundamentals of Microbial Community Resistance and Resilience
Ashley Shade, Hannes Peter, Steven Allison et al. · Frontiers in Microbiology · 2012 · 1.7K citations · Full text
Life Sciences, Ecology, Microbiology +14
Win-Stay-Lose-Learn Promotes Cooperation in the Spatial Prisoner's Dilemma Game
Yongkui Liu, Xiaojie Chen, Long Wang et al. · PLoS ONE · 2012 · 526 citations · Full text
Social Sciences, Evolutionary Biology, Behavioral Economics +13