1 | <p>Introductory bioinformatics exercises often walk students through the use of computational tools, but often provide little understanding of what a computational tool does "under the hood." A solid understanding of how a bioinformatics computational algorithm functions, including its limitations, is key for interpreting the output in a biologically relevant context. This introductory bioinformatics exercise integrates an introduction to web-based sequence alignment algorithms with models to facilitate student reflection and appreciation for how computational tools provide similarity output data. The exercise concludes with a set of inquiry-based questions in which students may apply computational tools to solve a real biological problem.</p>
| 1 | <p>Ebola virus is one of the most devastating human pathogens. It first emerged in 1976 in Zaire (Democratic Republic of the Congo, DRC) and Sudan. It has been responsible for sporadic outbreaks since that time. In most cases, the outbreaks are self-limiting and small in scope. The usual pattern for an outbreak is infection of a small number of individuals followed by infection of family members and health care workers. After the initial outbreak, high mortality and isolated geography leads to a diminishing number of infections until the outbreak ends. Mortality varies between 40% and 95%, making Ebola one of the most deadly infectious diseases in humans. In addition to high mortality, the disease course is devastating. Ebola Virus Disease (EVD) begins with fever, headache, muscle pain, diarrhea and vomiting then progresses to hemorrhagic fever. During hemorrhagic fever, there is major damage to liver, kidney, and gastrointestinal tract in addition to severe bleeding. Fatalities usually occur as a result of multiple organ failure or shock due to lack of fluids. </p>
|
---|
7 | <p>Kleinschmit, A., Brink, B., Roof, S., Goller, C., and Robertson, S.D. 2019. Sequence Similarity: An inquiry based and “under the hood” approach for incorporating molecular sequence alignment in introductory undergraduate biology courses. CourseSource. <a href="https://doi.org/10.24918/cs.2019.5">https://doi.org/10.24918/cs.2019.5</a></p> | 7 | <p>As part of our investigation of Ebola virus, we will use bioinformatics analysis to explore the Ebola strain(s) responsible for the most recent outbreak in Democratic Republic of Congo (DRC). </p>
|
---|
| | 8 |
|
---|
| | 9 | <p>Exercises 1-3 of the Sequence Similarity resource, streamlined in this adaptation provide the bioinformatics concepts and tools that enable students to explore phylogenetic relationships among the known Ebola virus strains. This exploration enables students to test the hypothesis that the current Ebola outbreak in DRC is caused by an known Ebola strain rather than a new strain. </p>
|
---|
| | 10 |
|
---|
| | 11 | <p><strong>Kleinschmit Resource Learning Goals (all apply)</strong></p>
|
---|
| | 12 |
|
---|
| | 13 | <ul>
|
---|
| | 14 | <li>Define similarity in a non-biological and biological sense.</li>
|
---|
| | 15 | <li>Quantify the similarity between two sequences.</li>
|
---|
| | 16 | <li>Explain how a substitution matrix is used to quantify similarity.</li>
|
---|
| | 17 | <li>Calculate amino acid similarity scores using various matrices.</li>
|
---|
| | 18 | <li>Explain how similarity is used to perform a BLAST search.</li>
|
---|
| | 19 | <li>Explain the BLAST search algorithm.</li>
|
---|
| | 20 | <li>Evaluate the results of a BLAST search.</li>
|
---|
| | 21 | <li>Create a dissimilarly matrix and multiple sequence alignment.</li>
|
---|
| | 22 | <li>Create a phylogram based on similarity of amino acid sequences.</li>
|
---|
| | 23 | <li>Distinguish between a rooted and unrooted phylogenetic tree.</li>
|
---|
| | 24 | </ul>
|
---|
| | 25 |
|
---|
| | 26 | <p> </p>
|
---|
| | 27 |
|
---|
| | 28 | <p><strong>Tapprich Ebola Inquiry Exercise Adaptation Learning Goals </strong></p>
|
---|
| | 29 |
|
---|
| | 30 | <ul>
|
---|
| | 31 | <li>Apply bioinformatics skills to conduct inquiry of Ebola virus phylogenetic relationships</li>
|
---|
| | 32 | <li>Analyze phylogenetic tree of Ebola strains to guide vaccine development</li>
|
---|
| | 33 | <li>Develop new research questions and hypotheses for the exploration of Ebola virus</li>
|
---|
| | 34 | </ul> |
---|