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A flexible, multi-week approach to plant biology - How will plants respond to higher levels of CO2?Learning ObjectivesStudents will be able to:
- Apply findings from each week's lesson to make predictions and informed hypotheses about the next week's lesson.
- Keep a detailed laboratory notebook.
- Write and peer-edit the sections of a scientific paper, and collaboratively write an entire lab report in the form of a scientific research paper.
- Search for, find, and read scientific research papers.
- Work together as a team to conduct experiments.
- Connect findings and ideas from each week's lesson to get a broader understanding of how plants will respond to higher levels of CO2 (e.g., stomatal density, photosynthetic/respiratory rates, foliar protein concentrations, growth, and resource allocation).
The Case of the Missing Strawberries: RFLP analysisLearning ObjectivesStudents 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.
Cutthroat trout in Colorado: A case study connecting evolution and conservationLearning ObjectivesStudents 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
A new approach to course-based research using a hermit crab-hydrozoan symbiosisLearning ObjectivesStudents 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.
An Introduction to Eukaryotic Genome Analysis in Non-model Species for Undergraduates: A tutorial from the Genome...Learning ObjectivesAt 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 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.
Building Trees: Introducing evolutionary concepts by exploring Crassulaceae phylogeny and biogeographyLearning ObjectivesStudents 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.
The Leaky Neuron: Understanding synaptic integration using an analogy involving leaky cupsLearning ObjectivesStudents 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
Investigating Cell Signaling with Gene Expression DatasetsLearning ObjectivesStudents will be able to:
- Explain the hierarchical organization of signal transduction pathways.
- Explain the role of enzymes in signal propagation and amplification.
- Recognize the centrality of signaling pathways in cellular processes, such as metabolism, cell division, or cell motility.
- Rationalize the etiologic basis of disease in terms of deranged signaling pathways.
- Use software to analyze and interpret gene expression data.
- Use an appropriate statistical method for hypotheses testing.
- Produce reports that are written in scientific style.
Antibiotic Resistance Genes Detection in Environmental SamplesLearning ObjectivesAfter 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.
Dynamic Daphnia: An inquiry-based research experience in ecology that teaches the scientific process to first-year...Learning ObjectivesStudents 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.
Out of Your Seat and on Your Feet! An adaptable course-based research project in plant ecology for advanced studentsLearning ObjectivesStudents 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)
Tackling "Big Data" with Biology Undergrads: A Simple RNA-seq Data Analysis Tutorial Using GalaxyLearning Objectives
- Students will locate and download high-throughput sequence data and genome annotation files from publically available data repositories.
- Students will use Galaxy to create an automated computational workflow that performs sequence quality assessment, trimming, and mapping of RNA-seq data.
- Students will analyze and interpret the outputs of RNA-seq analysis programs.
- Students will identify a group of genes that is differentially expressed between treatment and control samples, and interpret the biological significance of this list of differentially expressed genes.