Evolutionary Medicine

CONTENTS OF CURRICULUM UNIT 24.05.06

  1. Unit Guide
  1. Introduction
  2. Background Information
  3. Fundamental Concepts
  4. Target Audience
  5. Rationale
  6. Unit Objectives
  7. Teaching Strategies
  8. Teaching Implementation
  9. Classroom Activities
  10. Assessments
  11. Appendix
  12. References

Using Algebra to Explore Population Genetics in Lactose Tolerance

Jose Ulises Reveles Ramirez

Published September 2024

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Appendix

Implementing District Standards Based on Virginia Standards of Learning (SOLs)

The unit "Using Algebra to Explore Population Genetics in Lactose Tolerance" aligns with the following Virginia Standards of Learning (SOLs) for Algebra II. These standards emphasize applying algebraic concepts and techniques in solving real-world problems, which is central to this unit.

AII.1

Students will demonstrate proficiency in simplifying algebraic expressions and solving equations related to genetic data. This aligns with the algebraic manipulation required for understanding allele frequency and mutation rate equations.

Add, subtract, multiply, divide, and simplify rational algebraic expressions.

Unit Application: Students will manipulate algebraic expressions when working with allele frequency calculations and selection coefficients.

AII.4

Students will solve systems of equations to determine the impact of selection coefficients on allele frequencies, enhancing their skills in solving real-world algebraic problems.

The student will solve systems of linear equations algebraically and graphically.

Unit Application: Use linear equations to model the frequency of alleles over generations and solve these equations to predict genetic trait distributions.

AII.6

By graphing allele frequency changes over time, students will better understand the behavior of linear and exponential functions.

The student will recognize functions' general shape and behavior, including polynomial, rational, exponential, and logarithmic.

Unit Application: Analyze and graph functions representing genetic data, such as the exponential growth of allele frequencies.

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