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  • 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.
  • 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
  • Grow the Gradient game board. A student moves game pieces on the game board as they learn how the loop of Henle creates a salt concentration gradient in the medulla.

    Grow the Gradient: An interactive countercurrent multiplier game

    Learning Objectives
    • Students will be able to simulate the movement of water and sodium at each region of the loop of Henle.
    • Students will be able to associate osmosis and active transport with movement of water/solutes at each region of the loop of Henle.
    • Students will be able to model how the descending and ascending limbs of the loop of Henle maintain a concentration gradient within the medulla.
    • Students will be able to predict the effects of altering normal water and salt movement out of the loop of Henle on the salt concentration of the medulla, urine concentration, and urine volume.
    Advanced Learning Objectives for Extensions
    • Students will be able to predict the impact of the length of the loop of Henle on the magnitude of the concentration gradient within the medulla.
    • Students will be able to predict the length of the loop of Henle in organisms from different habitats.
  • 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)
  • Genome view obtained from the integrated genome viewer: screenshot of Illumina 75bp single-end reads from two rockfishes Sebastes chrysomelas (top) and S. carnatus (bottom) aligned to a closely related reference genome (S. rubrivinctus).  Reads shown are within the coding region of a gene that was located in an island of genomic divergence between the two species.  The CT mutation within S. carnatus is predicted to cause an amino acid substitution from Lysine to Phenylalanine in a taste receptor gene.  This

    An Introduction to Eukaryotic Genome Analysis in Non-model Species for Undergraduates: A tutorial from the Genome...

    Learning Objectives
    At the end of the activity, students will be able to:
    • Explain the steps involved in genome assembly, annotation, and variant detection to other students and instructors.
    • Create meaningful visualizations of their data using the integrated genome viewer.
    • Use the Linux command line and web-based tools to answer research questions.
    • Produce annotated genomes and call variants from raw sequencing reads in non-model species.
  • 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.
  • Aldh1a2 expression in Stage 33 Xenopus laevis embryo: In this lab exercise, students visualize differential gene expression in Xenopus embryos using in situ hybridization.

    Differential Gene Expression during Xenopus laevis Development

    Learning Objectives
    Students will be able to:
    • identify different stages of Xenopus development
    • contrast the strengths and limitations of the Xenopus model organism
    • explain the process and purpose of in situ hybridization
    • compare gene expression patterns from different germ layers or organ domains
    • compare gene expression patterns from different developmental stages
  • Students using the Understanding Eukaryotic Genes curriculum to construct a gene model. Students are working as a pair to complete each Module using classroom computers.

    An undergraduate bioinformatics curriculum that teaches eukaryotic gene structure

    Learning Objectives
    Module 1
    • Demonstrate basic skills in using the UCSC Genome Browser to navigate to a genomic region and to control the display settings for different evidence tracks.
    • Explain the relationships among DNA, pre-mRNA, mRNA, and protein.
    Module 2
    • Describe how a primary transcript (pre-mRNA) can be synthesized using a DNA molecule as the template.
    • Explain the importance of the 5' and 3' regions of the gene for initiation and termination of transcription by RNA polymerase II.
    • Identify the beginning and the end of a transcript using the capabilities of the genome browser.
    Module 3
    • Explain how the primary transcript generated by RNA polymerase II is processed to become a mature mRNA, using the sequence signals identified in Module 2.
    • Use the genome browser to analyze the relationships among:
    • pre-mRNA
    • 5' capping
    • 3' polyadenylation
    • splicing
    • mRNA
    Module 4
    • Identify splice donor and acceptor sites that are best supported by RNA-Seq data and TopHat splice junction predictions.
    • Utilize the canonical splice donor and splice acceptor sequences to identify intron-exon boundaries.
    Module 5
    • Determine the codons for specific amino acids and identify reading frames by examining the Base Position track in the genome browser.
    • Assemble exons to maintain the open reading frame (ORF) for a given gene.
    • Define the phases of the splice donor and acceptor sites and describe how they impact the maintenance of the ORF.
    • Identify the start and stop codons of an assembled ORF.
    Module 6
    • Demonstrate how alternative splicing of a gene can lead to different mRNAs.
    • Show how alternative splicing can lead to the production of different polypeptides and result in drastic changes in phenotype.
  • 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.
  • Fully annotated mitochondrial genome of a lichenized fungal species (Cladonia subtenuis).  This represents a visual representation of the final project result of the lesson plan. Students will submit their annotation to NCBI (GenBank) and upon acceptance of their annotation, they typically add this publicly available resource into their resume.

    A CURE-based approach to teaching genomics using mitochondrial genomes

    Learning Objectives
    • Install the appropriate programs such as Putty and WinSCP.
    • Navigate NCBI's website including their different BLAST programs (e.g., blastn, tblastx, blastp and blastx)
    • Use command-line BLAST to identify mitochondrial contigs within a whole genome assembly
    • Filter the desired sequence (using grep) and move the assembled mitochondrial genome onto your own computer (using FTP or SCP)
    • Error-correct contigs (bwa mem, samtools tview), connect and circularize organellar contigs (extending from filtered reads)
    • Transform assembled sequences into annotated genomes
    • Orient to canonical start locations in the mitochondrial genome (cox1)
    • Identify the boundaries of all coding components of the mitochondrial genome using BLAST, including: Protein coding genes (BLASTx and tBLASTX), tRNAs (proprietary programs such as tRNAscan), rRNAs (BLASTn, Chlorobox), ORFs (NCBI's ORFFinder)
    • Deposit annotation onto genome repository (NCBI)
    • Update CV/resume to reflect bioinformatics skills learned in this lesson
  • 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.  
  • Structure of protein ADA2

    Understanding Protein Domains: A Modular Approach

    Learning Objectives
    • Students will be able to compare protein sequences and identify conserved regions and putative domains.
    • Students will be able to obtain, examine, and compare structural models of protein domains.
    • Students will be able to interpret data on protein interactions (in vitro pull-down and in vitro and in vivo functional assays)
    • Students will be able to propose experiments to test protein interactions.
  • Hydrozoan polyps on a hermit-crab shell (photo by Tiffany Galush)

    A new approach to course-based research using a hermit crab-hydrozoan symbiosis

    Learning Objectives
    Students will be able to:
    • define different types of symbiotic interactions, with specific examples.
    • summarize and critically evaluate contemporary primary literature relevant to ecological symbioses, in particular that between hermit crabs and Hydractinia spp.
    • articulate a question, based on observations of a natural phenomenon (in this example, the hermit crab-Hydractinia interaction).
    • articulate a testable hypothesis, based on their own observations and read of the literature.
    • design appropriate experimental or observational studies to address their hypotheses.
    • collect and interpret data in light of their hypotheses.
    • problem-solve and troubleshoot issues that arise during their experiment.
    • communicate scientific results, both orally and in written form.
  • Modeling the Research Process: Authentic human physiology research in a large non-majors course

    Learning Objectives
    Students will be able to:
    • Read current scientific literature
    • Formulate testable hypotheses
    • Design an experimental procedure to test their hypothesis
    • Make scientific observations
    • Analyze and interpret data
    • Communicate results visually and orally
  • Pipets - photo by Magnus Manske

    Learning to Pipet Correctly by Pipetting Incorrectly?

    Learning Objectives
    • Students will be able to use analytical balances and micropipettes.
    • Students will be able to calculate averages and standard deviations.
    • Students will be able to use t-tests to compare two independent samples.
    • Students will be able to justify accepting or rejecting a null hypothesis based on an interpretation of p-values.
    • Students will learn to use spreadsheet software such as Microsoft Excel and/or Google Sheets
    • Students will be able to explain how pipetting incorrectly leads to errors.
  • Using Undergraduate Molecular Biology Labs to Discover Targets of miRNAs in Humans

    Learning Objectives
    • Use biological databases to generate and compare lists of predicted miR targets, and obtain the mRNA sequence of their selected candidate gene
    • Use bioinformatics tools to design and optimize primer sets for qPCR
  • 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
  • Adult female Daphnia dentifera. Daphnia spp. make a great study system due to their transparent body and their ease of upkeep in a lab.

    Dynamic Daphnia: An inquiry-based research experience in ecology that teaches the scientific process to first-year...

    Learning Objectives
    Students will be able to:
    • Construct written predictions about 1 factor experiments.
    • Interpret simple (2 variables) figures.
    • Construct simple (2 variables) figures from data.
    • Design simple 1 factor experiments with appropriate controls.
    • Demonstrate proper use of standard laboratory items, including a two-stop pipette, stereomicroscope, and laboratory notebook.
    • Calculate means and standard deviations.
    • Given some scaffolding (instructions), select the correct statistical test for a data set, be able to run a t-test, ANOVA, chi-squared test, and linear regression in Microsoft Excel, and be able to correctly interpret their results.
    • Construct and present a scientific poster.
  • pClone Red Makes Research Look Easy

    Using Synthetic Biology and pClone Red for Authentic Research on Promoter Function: Introductory Biology (identifying...

    Learning Objectives
    • Describe how cells can produce proteins at the right time and correct amount.
    • Diagram how a repressor works to reduce transcription.
    • Diagram how an activator works to increase transcription.
    • Identify a new promoter from literature and design a method to clone it and test its function.
    • Successfully and safely manipulate DNA and Escherichia coli for ligation and transformation experiments.
    • Design an experiment to verify a new 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.
  • A three-dimensional model of methionine is superimposed on a phase contrast micrograph of Saccharomyces cerevisiae from a log phase culture.

    Follow the Sulfur: Using Yeast Mutants to Study a Metabolic Pathway

    Learning Objectives
    At the end of this lesson, students will be able to:
    • use spot plating techniques to compare the growth of yeast strains on solid culture media.
    • predict the ability of specific met deletion strains to grow on media containing various sulfur sources.
    • predict how mutations in specific genes will affect the concentrations of metabolites in the pathways involved in methionine biosynthesis.
  • Using the Cell Engineer/Detective Approach to Explore Cell Structure and Function

    Learning Objectives
    Students will be able to:
    • Identify the major cell organelles
    • List the major functions of the organelles
    • Predict how changes in organelle/cell structure could alter cellular function
    • Explain how overall cellular function is dependent upon organelles/cell structure
    • Relate cell structure to everyday contexts
  • Using QIIME to Interpret Environmental Microbial Communities in an Upper Level Metagenomics Course

    Learning Objectives
    Students will be able to:
    • list and perform the steps of sequence processing and taxonomic inference.
    • interpret microbial community diversity from metagenomic sequence datasets.
    • compare microbial diversity within and between samples or treatments.