You are here
Search found 9 items
- (-) Remove Introductory Biology filter Introductory Biology
- (-) Remove Create a diagram, drawing, figure, etc. filter Create a diagram, drawing, figure, etc.
- (-) Remove Predicting outcomes filter Predicting outcomes
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.
CURE-all: Large Scale Implementation of Authentic DNA Barcoding Research into First-Year Biology CurriculumLearning ObjectivesStudents 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
- 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
- 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
- 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
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.
A Close-Up Look at PCRLearning ObjectivesAt the end of this lesson students will be able to...
- Describe the role of a primer in PCR
- Predict sequence and length of PCR product based on primer sequences
- Recognize that primers are incorporated into the final PCR products and explain why
- Identify covalent and hydrogen bonds formed and broken during PCR
- Predict the structure of PCR products after each cycle of the reaction
- Explain why amplification proceeds exponentially
Sequence Similarity: An inquiry based and "under the hood" approach for incorporating molecular sequence...Learning ObjectivesAt the end of this lesson, students will be able to:
- Define similarity in a non-biological and biological sense when provided with two strings of letters.
- Quantify the similarity between two gene/protein sequences.
- Explain how a substitution matrix is used to quantify similarity.
- Calculate amino acid similarity scores using a scoring matrix.
- Demonstrate how to access genomic data (e.g., from NCBI nucleotide and protein databases).
- Demonstrate how to use bioinformatics tools to analyze genomic data (e.g., BLASTP), explain a simplified BLAST search algorithm including how similarity is used to perform a BLAST search, and how to evaluate the results of a BLAST search.
- Create a nearest-neighbor distance matrix.
- Create a multiple sequence alignment using a nearest-neighbor distance matrix and a phylogram based on similarity of amino acid sequences.
- Use appropriate bioinformatics sequence alignment tools to investigate a biological question.
Meiosis: A Play in Three Acts, Starring DNA SequenceLearning Objectives
- Students will be able to identify sister chromatids and homologous chromosomes at different stages of meiosis.
- Students will be able to identify haploid and diploid cells, whether or not the chromosomes are replicated.
- Students will be able to explain why homologous chromosomes must pair during meiosis.
- Students will be able to relate DNA sequence similarity to chromosomal structures.
- Students will be able to identify crossing over as the key to proper pairing of homologous chromosomes during meiosis.
- Students will be able to predict the outcomes of meiosis for a particular individual or cell.
Evaluating the Quick Fix: Weight Loss Drugs and Cellular RespirationLearning Objectives
- Students will be able to explain how the energy from sugars is transformed into ATP via cellular respiration.
- Students will be able to predict an outcome if there is a perturbation in the cellular respiration pathway.
- Students will be able to state and evaluate a hypothesis.
- Students will be able to interpret data from a graph, and use that data to make inferences about the action of a drug.