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  • The Roc is a mythical giant bird of prey, first conceived during the Islamic Golden Age (~8th to 13th centuries CE), popularized in folk tales gathered in One Thousand One Nights. Rocs figured prominently in tales of Sinbad the Sailor. In this 1898 illustration by René Bull, the Roc is harassing two of Sinbad’s small fleet of ships. Illustration by René Bull is licensed under CC BY 2.0. (Source: https://en.wikipedia.org/wiki/Roc_(mythology)#mediaviewer/File:Rocweb.jpg)

    A first lesson in mathematical modeling for biologists: Rocs

    Learning Objectives
    • Systematically develop a functioning, discrete, single-species model of an exponentially-growing or -declining population.
    • Use the model to recommend appropriate action for population management.
    • Communicate model output and recommendations to non-expert audiences.
    • Generate a collaborative work product that most individuals could not generate on their own, given time and resource constraints.
  • Possible implementations of a short research module

    A Short Laboratory Module to Help Infuse Metacognition during an Introductory Course-based Research Experience

    Learning Objectives
    • Students will be able to evaluate the strengths and weaknesses of data.
    • Students will be able to employ prior knowledge in formulating a biological research question or hypothesis.
    • Students will be able to distinguish a research question from a testable hypothesis.
    • Students will recognize that the following are essential elements in experimental design: identifying gaps in prior knowledge, picking an appropriate approach (ex. experimental tools and controls) for testing a hypothesis, and reproducibility and repeatability.
    • Students will be able to identify appropriate experimental tools, approaches and controls to use in testing a hypothesis.
    • Students will be able to accurately explain why an experimental approach they have selected is a good choice for testing a particular hypothesis.
    • Students will be able to discuss whether experimental outcomes support or fail to support a particular hypothesis, and in the case of the latter, discuss possible reasons why.
  • 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
  • pClone Red Makes Research Look Easy

    Using Synthetic Biology and pClone Red for Authentic Research on Promoter Function: Genetics (analyzing mutant...

    Learning Objectives
    • Describe how cells can produce proteins at the right time and correct amount. 
    • Diagram a bacterial promoter with −35 and −10 elements and the transcription start site.
    • Describe how mutational analysis can be used to study promoter sequence requirements.
    • Develop a promoter mutation hypothesis and design an experiment to test it.
    • Successfully and safely manipulate DNA and Escherichia coli for ligation and transformation experiments. 
    • Design an experiment to verify a mutated promoter has been cloned into a destination vector. 
    • Design an experiment to measure the strength of a promoter. 
    • Analyze data showing reporter protein produced and use the data to assess promoter strength. 
    • Define type IIs restriction enzymes.
    • Distinguish between type II and type IIs restriction enzymes.
    • Explain how Golden Gate Assembly (GGA) works.
    • Measure the relative strength of a promoter compared to a standard promoter.  
  • Images of students participating in the SIDE activity

    Using a Sequential Interpretation of Data in Envelopes (SIDE) approach to identify a mystery TRP channel

    Learning Objectives
    • Students will be able to analyze data from multiple experimental methodologies to determine the identity of their "mystery" TRP channel.
    • Students will be able to interpret the results of individual experiments and from multiple experiments simultaneously to identify their "mystery" TRP channel.
    • Students will be able to evaluate the advantages and limitations of experimental methodologies presented in this lesson.
  • DNA barcoding research in first-year biology curriculum

    CURE-all: Large Scale Implementation of Authentic DNA Barcoding Research into First-Year Biology Curriculum

    Learning Objectives
    Students will be able to: Week 1-4: Fundamentals of Science and Biology
    • List the major processes involved in scientific discovery
    • List the different types of scientific studies and which types can establish causation
    • Design experiments with appropriate controls
    • Create and evaluate phylogenetic trees
    • Define taxonomy and phylogeny and explain their relationship to each other
    • Explain DNA sequence divergence and how it applies to evolutionary relationships and DNA barcoding
    Week 5-6: Ecology
    • Define and measure biodiversity and explain its importance
    • Catalog organisms using the morphospecies concept
    • Geographically map organisms using smartphones and an online mapping program
    • Calculate metrics of species diversity using spreadsheet software
    • Use spreadsheet software to quantify and graph biodiversity at forest edges vs. interiors
    • Write a formal lab report
    Week 7-11: Cellular and Molecular Biology
    • Extract, amplify, visualize and sequence DNA using standard molecular techniques (PCR, gel electrophoresis, Sanger sequencing)
    • Explain how DNA extraction, PCR, gel electrophoresis, and Sanger sequencing work at the molecular level
    Week 12-13: Bioinformatics
    • Trim and assemble raw DNA sequence data
    • Taxonomically identify DNA sequences isolated from unknown organisms using BLAST
    • Visualize sequence data relationships using sequence alignments and gene-based phylogenetic trees
    • Map and report data in a publicly available online database
    • Share data in a formal scientific poster
  • A tuco-tuco in South America (photo credit: Jeremy Hsu)

    Furry with a chance of evolution: Exploring genetic drift with tuco-tucos

    Learning Objectives
    • Students will be able to explain how genetic drift leads to allelic changes over generations.
    • Students will be able to demonstrate that sampling error can affect every generation, which can result in random changes in allelic frequency.
    • Students will be able to explore and evaluate the effect of population size on the strength of genetic drift.
    • Students will be able to analyze quantitative data associated with genetic drift.
  • Students preforming the leaky neuron activity.

    The Leaky Neuron: Understanding synaptic integration using an analogy involving leaky cups

    Learning Objectives
    Students will able to:
    • compare and contrast spatial and temporal summation in terms of the number of presynaptic events and the timing of these events
    • predict the relative contribution to reaching threshold and firing an action potential as a function of distance from the axon hillock
    • predict how the frequency of incoming presynaptic action potentials effects the success of temporal summation of resultant postsynaptic potentials
  • 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.