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AP Biology Lab Review
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Big Idea 1: Evolution
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Lab 1: Artificial Selection
Concepts: Natural selection = differential reproduction in a population Populations change over time evolution Natural Selection vs. Artificial Selection
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Lab 1: Artificial Selection
Description: Use Wisconsin Fast Plants to perform artificial selection Identify traits and variations in traits Cross-pollinate (top 10%) for selected trait Collect data for 2 generations (P and F1)
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Sample Histogram of a Population
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Lab 1: Artificial Selection
Analysis & Results: Calculate mean, median, standard deviation, range Are the 2 populations before and after selection (P and F1) actually different? Are the 2 sub-populations of F1 (hairy vs. non-hairy) different? Are the means statistically different? A T-test could be used to determine if 2 sets of data are statistically different from each other
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Lab 2: Mathematical Modeling: Hardy-Weinberg
Concepts: Evolution = change in frequency of alleles in a population from generation to generation Hardy-Weinberg Equilibrium Allele Frequencies (p + q = 1) Genotypic Frequencies (p2+2pq+q2 = 1) Conditions: large population random mating no mutations no natural selection no migration
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Lab 2: Mathematical Modeling: Hardy-Weinberg
Description: Generate mathematical models and computer simulations to see how a hypothetical gene pool changes from one generation to the next Use Microsoft Excel spreadsheet p = frequency of A allele q = frequency of B allele
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Lab 2: Mathematical Modeling: Hardy-Weinberg
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Lab 2: Mathematical Modeling: Hardy-Weinberg
Setting up Excel spreadsheet
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Lab 2: Mathematical Modeling: Hardy-Weinberg
Sample Results
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Lab 2: Mathematical Modeling: Hardy-Weinberg
Analysis & Results: Null model: in the absence of random events that affect populations, allele frequencies (p,q) should be the same from generation to generation (H-W equilibrium) Analyze genetic drift and the effect of selection on a given population Manipulate parameters in model: Population size, selection (fitness), mutation, migration, genetic drift
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Lab 2: Mathematical Modeling: Hardy-Weinberg
Real-life applications: Cystic fibrosis, polydactyly Heterozygote advantage (Sickle-Cell Anemia)
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Lab 3: Comparing DNA Sequences using BLAST Evolutionary Relationships
Concepts: Bioinformatics: combines statistics, math modeling, computer science to analyze biological data Genomes can be compared to detect genetic similarities and differences BLAST = Basic Local Alignment Search Tool Input gene sequence of interest Search genomic libraries for identical or similar sequences
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Lab 3: Comparing DNA Sequences using BLAST Evolutionary Relationships
Description: Use BLAST to compare several genes Use information to construct a cladogram (phylogenetic tree) Cladogram = visualization of evolutionary relatedness of species
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Lab 3: Comparing DNA Sequences using BLAST Evolutionary Relationships
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Use this data to construct a cladogram of the major plant groups
Lab 3: Comparing DNA Sequences using BLAST Evolutionary Relationships Use this data to construct a cladogram of the major plant groups
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Lab 3: Comparing DNA Sequences using BLAST Evolutionary Relationships
Fossil specimen in China DNA was extracted from preserved tissue Sequences from 4 genes were analyzed using BLAST
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Lab 3: Comparing DNA Sequences using BLAST Evolutionary Relationships
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Lab 3: Comparing DNA Sequences using BLAST Evolutionary Relationships
Analysis & Results: BLAST results: the higher the score, the closer the alignment The more similar the genes, the more recent their common ancestor located closer on the cladogram
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Lab 3: Comparing DNA Sequences using BLAST Evolutionary Relationships
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Big Idea 2: cellular processes: energy and communication
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Lab 4: Diffusion & Osmosis
Concepts: Selectively permeable membrane Diffusion (high low concentration) Osmosis (aquaporins) Water potential () = pressure potential (P) + solute potential (S) Solutions: Hypertonic hypotonic isotonic
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Lab 4: Diffusion & Osmosis
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Lab 4: Diffusion & Osmosis
Description: Surface area and cell size vs. rate of diffusion Cell modeling: dialysis tubing + various solutions (distilled water, sucrose, salt, glucose, protein) Identify concentrations of sucrose solution and solute concentration of potato cores Observe osmosis in onion cells (effect of salt water)
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Lab 4: Diffusion & Osmosis
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Potato Cores in Different Concentrations of Sucrose
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Lab 4: Diffusion & Osmosis
Conclusions Water moves from high water potential ( ) (hypotonic=low solute) to low water potential () (hypertonic=high solute) Solute concentration & size of molecule affect movement across selectively permeable membrane
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Lab 5: Photosynthesis Concepts: Photosynthesis
6H2O + 6CO2 + Light C6H12O6 + 6O2 Ways to measure the rate of photosynthesis: Production of oxygen (O2) Consumption of carbon dioxide (CO2)
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Lab 5: Photosynthesis Description:
Paper chromatography to identify pigments Floating disk technique Leaf disks float in water Gases can be drawn from out from leaf using syringe leaf sinks Photosynthesis O2 produced bubbles form on leaf leaf disk rises Measure rate of photosynthesis by O2 production Factors tested: types of plants, light intensity, colors of leaves, pH of solutions
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Plant Pigments & Chromatography
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Floating Disk Technique
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Lab 5: Photosynthesis Concepts: photosynthesis Photosystems II, I
H2O split, ATP, NADPH chlorophylls & other plant pigments chlorophyll a chlorophyll b xanthophylls carotenoids experimental design control vs. experimental
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Lab 6: Cellular Respiration
Concepts: Respiration Measure rate of respiration by: O2 consumption CO2 production
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Lab 6: Cellular Respiration
Description: Use respirometer Measure rate of respiration (O2 consumption) in various seeds Factors tested: Non-germinating seeds Germinating seeds Effect of temperature Surface area of seeds Types of seeds Plants vs. animals
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Lab 6: Cellular Respiration
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Lab 6: Cellular Respiration
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Lab 6: Cellular Respiration
Conclusions: temp = respiration germination = respiration Animal respiration > plant respiration surface area = respiration Calculate Rate
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Lab 6: Cellular Respiration
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Big Idea 3: genetics and information transfer
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Lab 7: Mitosis & Meiosis Concepts: Cell Cycle (G1 S G2 M)
Control of cell cycle (checkpoints) Cyclins & cyclin-dependent kinases (CDKs) Mitosis vs. Meiosis Crossing over genetic diversity
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Lab 7: Mitosis & Meiosis
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Lab 7: Mitosis & Meiosis
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Lab 7: Mitosis & Meiosis Description:
Model mitosis & meiosis (pipecleaners, beads) How environment affects mitosis of plant roots Lectin - proteins secreted by fungus Root stimulating powder Count # cells in interphase, mitosis Observe karyotypes (cancer, mutations) Meiosis & crossing over in Sordaria (fungus)
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Lab 7: Mitosis & Meiosis
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Lab 7: Mitosis & Meiosis
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Abnormal karyotype = Cancer
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Meiosis: Crossing over in Prophase I
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Lab 7: Mitosis & Meiosis Observed crossing over in fungus (Sordaria)
Arrangement of ascospores
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distance from centromere
Sordaria Analysis % crossover total crossover total offspring = distance from centromere % crossover 2 =
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Lab 8: Bacterial Transformation
Concepts: Transformation: uptake of foreign DNA from surroundings Plasmid = small ring of DNA with a few genes Replicates separately from bacteria DNA Can carry genes for antibiotic resistance Genetic engineering: recombinant DNA = pGLO plasmid
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Lab 8: Bacterial Transformation
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Lab 8: Bacterial Transformation
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Lab 8: Bacterial Transformation
Conclusions: Foreign DNA inserted using vector (plasmid) Ampicillin = Selecting agent No transformation = no growth on amp+ plate Regulate genes by transcription factors (araC protein)
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Lab 9: Restriction Enzyme Analysis of DNA
Concepts: Restriction Enzymes Cut DNA at specific locations Gel Electrophoresis DNA is negatively charged Smaller fragments travel faster
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Lab 9: Restriction Enzyme Analysis of DNA
Description
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Lab 9: Restriction Enzyme Analysis of DNA
Determine DNA fragment sizes
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Lab 9: Restriction Enzyme Analysis of DNA
Conclusions: Restriction enzymes cut at specific locations (restriction sites) DNA is negatively charged Smaller DNA fragments travel faster than larger fragments Relative size of DNA fragments can be determined by distance travelled Use standard curve to calculate size
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Big Idea 4: interactions
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Lab 10: Energy Dynamics Concepts: Biomass = mass of dry weight
Energy from sunlight drives photosynthesis (store E in organic compounds) Gross Productivity (GPP) = energy captured But some energy is used for respiration (R) Net primary productivity (NPP) = GPP – R Energy flows! (but matter cycles) Producers consumers Biomass = mass of dry weight
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Lab 10: Energy Dynamics Pyramid of Energy Pyramid of Biomass
Pyramid of Numbers
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Lab 10: Energy Dynamics Description:
Brassica (cabbage) cabbage white butterfly larvae (caterpillars)
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Lab 10: Energy Dynamics Measuring Biomass: Cabbage mass lost
Caterpillar mass gained Caterpillar frass (poop) dry mass
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Lab 10: Energy Dynamics Conclusions:
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Lab 10: Energy Dynamics Conclusions:
Energy is lost (respiration, waste) Conservation of Mass Input = Output
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Lab 11: Transpiration Concepts: Transpiration Xylem Water potential
Cohesion-tension hypothesis Stomata & Guard cells Leaf surface area & # stomata vs. rate of transpiration
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Lab 11: Transpiration
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Lab 11: Transpiration Description:
Determine relationship between leaf surface area, # stomata, rate of transpiration Nail polish stomatal peels Effects of environmental factors on rate of transpiration Temperature, humidity, air flow (wind), light intensity
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Analysis of Stomata
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Rates of Transpiration
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Lab 11: Transpiration Conclusions: transpiration: wind, light
transpiration: humidity Density of stomata vs. transpiration Leaf surface area vs. transpiration
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Lab 12: Animal Behavior Concepts: Experimental design
IV, DV, control, constants Control vs. Experimental Hypothesis innate vs. learned behavior choice chambers temperature humidity light intensity salinity other factors
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Lab 12: Animal Behavior Description:
Investigate relationship between environmental factors vs. behavior Betta fish agonistic behavior Drosophila (fruit fly) behavior Pillbug kinesis
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Lab 12: Animal Behavior
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Lab 12: Animal Behavior Hypothesis Development
Poor: I think pillbugs will move toward the wet side of a choice chamber. Better: If pillbugs are randomly placed on two sides of a wet/dry choice chamber and allowed to move about freely for 10 minutes, then more pillbugs will be found on the wet side because they prefer moist environments.
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Lab 12: Animal Behavior Experimental Design sample size
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Lab 12: Animal Behavior Data Analysis: Chi-Square Test
Null hypothesis: there is no difference between the conditions Degrees of Freedom = n-1 At p=0.05, if X2 < critical value accept null hypothesis (any differences between observed and expected due to CHANCE)
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Lab 13: Enzyme Activity Concepts: Enzyme Substrate product
Structure (active site, allosteric site) Lower activation energy Substrate product Proteins denature (structure/binding site changes)
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Lab 13: Enzyme Activity Description:
Determine which factors affecting rate of enzyme reaction H2O2 H2O + O2 Measure rate of O2 production catalase
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Turnip peroxidase Color change (O2 produced)
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Calculate Rate of Reaction
Lab 13: Enzyme Activity Conclusions: Enzyme reaction rate affected by: pH (acids, bases) Temperature Substrate concentration Enzyme concentration Calculate Rate of Reaction
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Any Questions??
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