Reusable Learning Objects in Microbial Diversity
1. Introduction to Microbial Diversity - Part I:
The basics of microbial diversity and the evolutionary diversification of life
Overview: This podcast contains a brief overview of the diversity of microbes and introduces some key terms needed to understand the more advanced podcasts Part II and III that go into more detail about the molecular techniques used to analyze microbial diversity in communities.
Learning Objective: By the end of this podcast a student should be familiar with the basic approaches of studying the diversity of microorganisms
Level: High School or College Undergraduate
Download: Powerpoint Presentation
2. Introduction to Microbial Diversity - Part II:
Using phylogenetic markers for microbial diversity analyses
Overview: This podcast contains an overview of some of the many molecular techniques a scientist can use to examine the species and functional gene complexity of microbial communities. There is a special emphasis on techniques associated with analyzing the 16S/18S rRNA gene of microbes.
Learning Objective: By the end of this podcast a student should be familiar with the basic molecular and sequencing approaches of studying the diversity of microorganisms.
Level: Advanced High School or College Undergraduate
Download: Powerpoint Presentation
3. Introduction to microbial Diversity - Part III:
Analysis of a 16S rRNA gene diversity dataset using the web-based Ribosomal Database Project’s pyrosequencing pipeline.
Overview: This video provides a practical demonstration on how to work with 16S rRNA pyrosequencing datasets using the RDP pipeline discussed in Part II. In this video Jennifer Mobberley of the University of Florida guides you through the critical steps to analyze and assess the diversity of a hypothetical microbial community.
Learning Objective: By the end of this video exercise a student will have had hands on experience using the RDP pyrosequencing pipeline to evaluate and analyze a 16S rRNA gene data set.
Require Materials: In addition to this video you will need to download the practice data set and quality files associated with this exercise.
Level: College Undergraduate
Download: Data Files
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