Paper Writing Services is called an explanatory model, where you explain a natural phenomenon works through an evidence-based explanation (or story). Your evidence, in ts

Abstract
working, and Time 2 is much later when the same drug is now no longer working – HIV is resistant to the drug. à then make clear why the next part of the comes next…. Write a short paragraph that summarizes how resistance to anti-HIV drugs can occur in a population of HIV viruses through natural selection of

Biology 100 – Winter 2021 NAME: _____________________________ ghline College Scientists use explanatory models in order to be able to connect a series of ideas to explain how a natural phenomenon might work. Their explanation includes the available evidence and existing scientific knowledge up to that time. A model can then be tested and revised, if necessary, as new information is gained. In ts model you will concentrate on of how HIV drug resistance happens. A story flows from a beginning, a middle, and an end. Ts story will be mostly a picture book story supported by words when necessary to help explain your point. The objective of ts exercise is to help you to learn how populations of organisms change in response to their environment by natural selection. Ts type of story is called an explanatory model, where you explain a natural phenomenon works through an evidence-based explanation (or story). Your evidence, in ts instance, is the information from your observations, measurements, and reliable resources from class, your labs, and your text. OK, so let’s get started! Here is a checklist of the following terms and concepts that you should include in your story of how antibiotics might work. à then make clear why the next part of the story comes next…. q reverse transcriptase q integrase q protease q à then make clear why the next part of the story comes next…. q competitive inbition q noncompetitive inbition q à then make clear why the next part of the comes next…. q single base pair mutation o silent o missense o nonsense q insertions and deletions o reading frame q à then make clear why the next part of the comes next…. à then make clear why the next part of the comes next…. à then make clear why the next part of the comes next…. à then make clear why the next part of the comes next…. Make a key to clearly label each type of virus. Time 0 is the population of HIV viruses BEFORE drug is taken, Time 1 is when the drug is working, and Time 2 is much later when the same drug is now no longer working – HIV is resistant to the drug. à then make clear why the next part of the comes next…. Write a short paragraph that summarizes how resistance to anti-HIV drugs can occur in a population of HIV viruses through natural selection of a drug-resistant variation. Ts paragraph serves as a summary (backed up by evidence!) of your entire model. q Make sure you include all of the following five key concepts in your explanation. o Population o Pre-existing genetic variation (random) o Environmental pressure/selection/ selected (not random) o Heritable traits/ inheritance/ inherited o Adaptation/ adapted q Also make sure to include a detailed description of how other viruses (like SARS-CoV-2 or influenza) change over time from your SimBio lab. Level of Evidence-Based Explanation: Level of Evidence-Based Explanation rubric: · your textbook sources, the SimBio lab, and any other outside sources that you used ·

Sample references
  • (‘Hamin, E. M., and N. Gurran. 2009. Urban form and climate change: Balancing adaptation and mitigation in the U.S. and Australia. Habitat International 33(3):238-245.’,)
  • (‘Cayan, D., M. Tyree, M. Dettinger, H. Hidalgo, T. Das, E. Maurer, P. Bromirski, N. Graham, and R. Flick. 2009. Climate Change Scenarios and Sea Level … (12 characters truncated) … tes for the California 2008 Climate Change Scenarios Assessment. PIER Research Report CEC-500-2009-014. Sacramento, CA: California Energy Commission.’,)
  • (‘Vogt WP. Dictionary of Statistics & Methodology: A Nontechnical Guide for the Social Sciences. SAGE; 2005.’,)
  • (‘Johansen, Soren, and Katarina Juselius. 1990. Maximum Likelihood Estimation and Inference on Cointegration—With Applications tothe Demand for Money. Oxford Bulletin of Economics and Statistics 52: 169–210. [CrossRef]’,)

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