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  • Plant ecology students surveying vegetation at Red Hills, CA, spring 2012.  From left to right are G.L, F.D, A.M., and R.P.  Photo used with permission from all students.

    Out of Your Seat and on Your Feet! An adaptable course-based research project in plant ecology for advanced students

    Learning Objectives
    Students will:
    • Articulate testable hypotheses. (Lab 8, final presentation/paper, in-class exercises)
    • Analyze data to determine the level of support for articulated hypotheses. (Labs 4-7, final presentation/paper)
    • Identify multiple species of plants in the field quickly and accurately. (Labs 2-3, field trip)
    • Measure environmental variables and sample vegetation in the field. (Labs 2-3, field trip)
    • Analyze soil samples using a variety of low-tech lab techniques. (Open labs after field trip)
    • Use multiple statistical techniques to analyze data for patterns. (Labs 4-8, final presentation/paper)
    • Interpret statistical analyses to distinguish between strong and weak interactions in a biological system. (Labs 4-7, final presentation/paper)
    • Develop and present a conference-style presentation in a public forum. (Lab 8, final presentation/paper)
    • Write a publication-ready research paper communicating findings and displaying data. (Lab 8, final presentation/paper)
  • Students at Century College use gel electrophoresis to analyze PCR samples in order to detect a group of ampicillin-resistance genes.

    Antibiotic Resistance Genes Detection in Environmental Samples

    Learning Objectives
    After completing this laboratory series, students will be able to:
    • apply the scientific method in formulating a hypothesis, designing a controlled experiment using appropriate molecular biology techniques, and analyzing experimental results;
    • conduct a molecular biology experiment and explain the principles behind methodologies, such as accurate use of micropipettes, PCR (polymerase chain reaction), and gel electrophoresis;
    • determine the presence of antibiotic-resistance genes in environmental samples by analyzing PCR products using gel electrophoresis;
    • explain mechanisms of microbial antibiotic resistance;
    • contribute data to the Antibiotic Resistance Genes Network;
    • define and apply key concepts of antibiotic resistance and gene identification via PCR fragment size.
  • Example image of dividing cells obtained from the Allen Institute for Cell Science 3D Cell Viewer.

    A virtual laboratory on cell division using a publicly-available image database

    Learning Objectives
    • Students will name and describe the salient features and cellular tasks for each stage of cell division.
    • Students will predict the relative durations of the stages of cell division using prior knowledge and facts from assigned readings.
    • Students will describe the relationship between duration of each stage of cell division and the frequency of cells present in each stage of cell division counted in a random sample of images of pluripotent stem cells.
    • Students will identify the stages of cell division present in research-quality images of human pluripotent stem cells in various stages of cell division.
    • Students will quantify, analyze and summarize data on the prevalence of cells at different stages of cell division in randomly sampled cell populations.
    • Students will use data to reflect on and revise predictions.
  • A A student assists Colorado Parks & Wildlife employees spawning greenback cutthroat trout at the Leadville National Fish Hatchery; B greenback cutthroat trout adults in a hatchery raceway; C tissue samples collected by students to be used for genetic analysis (images taken by S. Love Stowell)

    Cutthroat trout in Colorado: A case study connecting evolution and conservation

    Learning Objectives
    Students will be able to:
    • interpret figures such as maps, phylogenies, STRUCTURE plots, and networks for species delimitation
    • identify sources of uncertainty and disagreement in real data sets
    • propose research to address or remedy uncertainty
    • construct an evidence-based argument for the management of a rare taxon
  • Human karyotype

    Homologous chromosomes? Exploring human sex chromosomes, sex determination and sex reversal using bioinformatics...

    Learning Objectives
    Students successfully completing this lesson will:
    • Practice navigating an online bioinformatics resource and identify evidence relevant to solving investigation questions
    • Contrast the array of genes expected on homologous autosomal chromosomes pairs with the array of genes expected on sex chromosome pairs
    • Use bioinformatics evidence to defend the definition of homologous chromosomes
    • Define chromosomal sex and defend the definition using experimental data
    • Investigate the genetic basis of human chromosomal sex determination
    • Identify at least two genetic mutations can lead to sex reversal
  • Strawberries

    The Case of the Missing Strawberries: RFLP analysis

    Learning Objectives
    Students will be able to:
    • Describe the relationship of cells, chromosomes, and DNA.
    • Isolate DNA from strawberries.
    • Digest DNA with restriction enzymes.
    • Perform gel electrophoresis.
    • Design an experiment to compare DNAs by RFLP analysis.
    • Predict results of RFLP analysis.
    • Interpret results of RFLP analysis.
    • Use appropriate safety procedures in the lab.
  • Peterson MP, Rosvall KA, Choi J-H, Ziegenfus C, Tang H, Colbourne JK, et al. (2013) Testosterone Affects Neural Gene Expression Differently in Male and Female Juncos: A Role for Hormones in Mediating Sexual Dimorphism and Conflict. PLoS ONE 8(4): e61784. doi:10.1371/journal.pone.0061784

    Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching

    Learning Objectives
    • From raw RNAseq data, run a basic analysis culminating in a list of differentially expressed genes.
    • Explain and evaluate statistical tests in RNAseq data. Specifically, given the output of a particular test, students should be able to interpret and explain the result.
    • Use the Linux command line to complete specified objectives in an RNAseq workflow.
    • Generate meaningful visualizations of results from new data in R.
    • (In addition, each chapter of this lesson plan contains more specific learning objectives, such as “Students will demonstrate their ability to map reads to a reference.”)
  • Using phylogenetics to make inferences about historical biogeographic patterns of evolution.

    Building Trees: Introducing evolutionary concepts by exploring Crassulaceae phylogeny and biogeography

    Learning Objectives
    Students will be able to:
    • Estimate phylogenetic trees using diverse data types and phylogenetic models.
    • Correctly make inferences about evolutionary history and relatedness from the tree diagrams obtained.
    • Use selected computer programs for phylogenetic analysis.
    • Use bootstrapping to assess the statistical support for a phylogeny.
    • Use phylogenetic data to construct, compare, and evaluate the role of geologic processes in shaping the historical and current geographic distributions of a group of organisms.