Bio 200 lecture 1

Instructor Background and Community Vision
  • Academic & Research Context: Biology Department at UW. Integrates engineering and biology across plants, yeast, and human cells to understand cellular signaling, improve health, and increase food access.

  • Personal Background & Anecdotes: Raised in Portland, OR; met lifelong friends at age 1616\,years old in middle school. Favorite botanical example: Mountain laurel (Kalmia latifolia), whose stamens snap under physical tension to hurl pollen at insects. Closed buds resemble Japanese Kompeito candy.

  • Art & Science Intersections: Collaborations across dance and painting; lab artist-in-residence created Transcription Translation. Enjoys visual misdirection (e.g., hamburger cakes).

Course Design, Pedagogical Philosophy, and Policies
  • Assignment & Curriculum Intent: Scaffolding design builds foundational skills for scientific careers rather than busywork; requires active engagement.

  • Ethical Considerations & AI Policy: Open dialogue regarding digital tools and AI, starting from a baseline of mutual good intent.

  • Core Pedagogical Principle: The person performing the intellectual work acquires the learning.

  • Course Logistics: Weekly Thursday discussions, Piazza, weekly study guides (with YSBAT objectives and vocabulary), and Friday Demonstrations of Knowledge (DOK) exams.

  • Scheduled Unbiased Group Call System: Groups of 44\,students are called on a predictable schedule (~33\,times/quarter) to share group discussion points, confusion, or connections without individual high-stakes questioning.

Conceptual Themes and Scientific Frameworks
  • Scale in Space and Time: Emphasizes small physical scales (molecules to interacting cells) and rapid temporal scales (biochemical/cellular reactions).

  • National Biology Education Core Concepts:

    1. Evolution: Differential survival/reproduction shifting gene frequencies.

    2. Structure and Function: Biological properties dictated by physical and chemical architecture.

    3. Information Flow, Exchange, and Storage: Transmission of genetic instructions.

    4. Pathways and Transformations of Energy and Matter: Metabolic pathways governing energy capture.

    5. Systems: Complex networks giving rise to emergent properties.

Core Toolkit: Three Ways of Thinking
  • Model Building and Abstraction: Creating visual diagrams to distill biological phenomena.

  • Network Thinking (Cause and Effect / Genetic Logic): Predicting systemic outcomes when components are increased, decreased, or knocked out.

  • Structure and Function Thinking: Deducing macro-level biological function from atomic/molecular properties.

  • Pedagogical Reframing: Pedagogy shifts static memorized facts into active ways of knowing, doing, and being.

Genotype, Phenotype, Environment, and Fitness Schema
  • Central Dogma & Evolutionary Schema:

    • Genotype×Environment→Phenotype\text{Genotype} \times \text{Environment} \rightarrow \text{Phenotype}

    • Phenotype×Environment→Fitness\text{Phenotype} \times \text{Environment} \rightarrow \text{Fitness}

  • Core Definitions:

    • Genotype: Underlying DNA sequence / collection of alleles.

    • Phenotype: Observable physical, physiological, or behavioral attributes.

    • Environment: Sum of surroundings and conditions.

    • Fitness: Relative ability to survive and reproduce; allele persistence over time.

    • Allele: Specific sequence variants of a gene.

    • Mutation / Variation: Permanent changes in DNA sequence.

  • Schema Demonstration:

    • Environmental Variation: Identical genotypes (100%100\% identical DNA) in light vs. dark environments yield distinct phenotypes.

    • Genetic Variation: Distinct genotypes in identical controlled environments yield distinct phenotypes.

Case Study: Molecular and Evolutionary Basis of Mouse Coat Color
  • Experimental Overview: Research by Hopi Hoekstra comparing light-colored beach mice (Peromyscus polionotus leucocephalus) and dark mainland mice.

  • Dual Biological Perspectives:

    • Biochemical / Molecular: Point mutations in coat-color genes alter protein structure/expression, reducing melanin production.

    • Evolutionary / Ecological: Natural selection favors light coats for visual camouflage against predators, driving higher fitness and allele persistence.