Exam Format and Study Strategy
Exam format: 40 multiple choice questions (2 points each) = 80 points; 2 short answer questions (10 points each) = 20 points; total = 100 points.
Multiple choice questions are designed to test understanding, description, application, analysis, and evaluation (not just memorization). This aligns with Bloom's taxonomy levels (lower levels: understand, describe; higher levels: apply, analyze, evaluate).
Online practice exam available; good for getting the question style. Also, quiz one will mimic that style.
Use AI tools to generate practice questions at Bloom's taxonomy levels of analyze, apply, evaluate by uploading lecture slides or PowerPoints and prompting for questions at those levels.
Review strategy: focus on the SLO (Student Learning Outcome) sheet for Exam 1. Highlight bullet points under analyze/evaluate first, then review understanding/description points. Every exam question is tied to an SLO bullet point.
If a question is unclear during the exam, ask the professor for clarification.
General approach to practice: practice with scenarios (e.g., widow bird, chevrons) to apply natural selection criteria, experimental design terms, and data interpretation.
Core Concepts: Nucleic Acids (Primary and Secondary Structure focus)
Nucleotide structure has three components:
Phosphate group
Five-carbon sugar
Nitrogenous base
DNA vs RNA (differences to know):
Sugar: deoxyribose (DNA) vs ribose (RNA)
Bases: DNA uses thymine (T), RNA uses uracil (U); both use adenine (A), cytosine (C), guanine (G)
RNA is typically single-stranded and folds into secondary structures; DNA is typically double-stranded and forms a stable double helix
Bond types in nucleic acids:
Phosphodiester bonds connect nucleotides in both DNA and RNA
Base pairing is via hydrogen bonds: A pairs with T (DNA) or A with U (RNA); C pairs with G in both
Primary structure
DNA: sequence of nucleotides (the order of bases)
RNA: sequence of nucleotides (the order of bases)
Primary structure is linked by phosphodiester bonds; in proteins it’s peptide bonds (not directly here, but noted for contrast)
Secondary structure differences
DNA: always forms a double-stranded alpha helix; stabilized mainly by hydrogen bonds between base pairs (A–T and C–G) and base-stacking
RNA: typically single-stranded, folds into stem-loop structures; hydrogen bonds (A–U, C–G) and some hydrophobic interactions guide folding
Tertiary structure considerations
DNA: tertiary structure includes histone association and higher-order packaging; DNA-histone interactions contribute to chromatin structure
RNA: tertiary structure involves folding of the single strand into complex 3D shapes; hydrogen bonds and hydrophobic interactions are involved
Relationship to the central dogma (DNA to RNA to Protein)
What happens if you change the primary sequence?
DNA: secondary/tertiary structure remains relatively consistent (double helix, histone association) regardless of minor base changes; sequence variation does not dramatically alter the overall double-helix structure
RNA and proteins: changes in primary sequence can alter secondary and tertiary structures, altering function (e.g., RNA folding, ribozymes; proteins like hemoglobin can have altered folding with single amino acid changes)
Core Concepts: DNA, RNA, and Protein Structures (Comparative table-style highlights)
Primary structure (definition of each):
DNA: nucleotide sequence; backbone via phosphodiester bonds
RNA: nucleotide sequence; backbone via phosphodiester bonds
Protein: amino acid sequence; backbone via peptide bonds
Secondary structure (typical forms):
DNA: double helix; hydrogen bonds between A–T and C–G
RNA: single-stranded with stem-loop structures; hydrogen bonds within the strand (A–U, C–G)
Protein: alpha helix or beta sheet; hydrogen bonds between amino and carboxyl groups within the same polypeptide
Tertiary structure (driving forces and examples):
DNA: histones and chromatin packaging; tertiary/quaternary organization over larger scales
RNA: folding into complex 3D shapes with hydrogen bonding and hydrophobic interactions
Protein: interactions among R groups (polar, nonpolar, acidic, basic); hydrogen bonds, ionic bonds, hydrophobic interactions, covalent disulfide bonds
How changes in primary structure affect higher levels:
DNA: changes in base sequence do not typically disrupt the ability to maintain double-stranded helix and packaging; still forms canonical structures (context-dependent)
RNA: changes can alter secondary/tertiary structure due to altered folding patterns
Protein: changes in primary sequence can alter folding and function across secondary, tertiary, and quaternary structures (ex: sickle-cell mutation in o
The primary structure of DNA and RNA is the nucleotide sequence linked by phosphodiester bonds, while proteins have an amino acid sequence linked by peptide bonds. Secondary structures differ: DNA forms a double helix with A–T and C–G hydrogen bonds, RNA forms stem-loops with A–U and C–G hydrogen bonds, and proteins form alpha helices or beta sheets through backbone hydrogen bonding. Tertiary structure in DNA involves histone packaging into chromatin, RNA folds into complex 3D shapes via hydrogen bonding and hydrophobic interactions, and proteins fold through R-group interactions (hydrogen, ionic, hydrophobic, disulfide). Changes in DNA sequence usually preserve overall helix structure, while changes in RNA or protein sequence can significantly alter folding and function, as seen in mutations like sickle-cell hemoglobin.
Core Concepts: Evolution and Natural Selection (Short Answer framework)
Three criteria for evolution by natural selection
Variation in traits
Within any population, individuals are not all identical. Some may be taller, faster, more resistant to disease, or better camouflaged.
This variation is important because if everyone were exactly the same, there would be nothing for natural selection to act on.
Heritability of traits
Traits must be passed from parents to offspring through genes.
If a trait gives an advantage but is not heritable (for example, a scar you got in life), it won’t matter for evolution because it won’t be passed to the next generation.
Differential fitness (reproductive success)
Individuals with traits that give them an advantage (like better camouflage, faster speed, or resistance to disease) are more likely to survive and reproduce.
Over time, the traits that improve survival and reproduction become more common in the population, while less useful traits may disappear.
Example framework: sickle cell trait and malaria
Variation: presence of sickle cell allele in population; heterozygotes show a mix
Heritability: allele is passed to offspring
Fitness effects: in malaria-endemic regions, heterozygotes have protection against malaria; in low-malaria regions, sickle cell can reduce fitness due to disease risk
Widow bird example and the Chevron demonstration (relation to natural selection criteria)
Bright red chevrons often correlate with increased mating success (fitness)
Variation in color is heritable to some extent
Different environmental contexts can change the fitness payoff
Random mutations as the source of variation
Mutations are random, not caused by disease; they create variants that selection can act on
In malaria-endemic regions, malaria pressure can favors alleles that confer protection (e.g., sickle cell trait)
Evolution by natural selection requires three conditions: variation, heritability, and differential fitness. Variation means individuals in a population differ in traits such as color, speed, or disease resistance. Heritability means these traits can be passed from parents to offspring through genes. Differential fitness means that some individuals in a population leave more offspring than others because of their traits. This is essentially what people mean when they say “survival of the fittest” — the “fittest” individuals are those with traits that give them a reproductive advantage, so those traits become more common over time0. For example, the sickle cell allele provides malaria resistance in heterozygotes, giving them higher fitness in malaria regions, while widow birds with longer tails or birds with brighter chevrons attract more mates. Mutations create the variation that selection acts on, and the environment determines whether traits are beneficial or harmful.
Core Concepts: Experimental Design and Data Interpretation (MCQs and graphs)
Common components tested in MCQs
Hypothesis, predictions, variables (independent, dependent), controls, confounding variables
Ability to interpret data charts and determine whether data support the hypothesis
Example scenario structure (widow bird-type graph)
X-axis: treatments (e.g., untreated, enhanced chevron, dulled chevron, paint control)
Y-axis: mating success or related metric (dependent variable)
Control for painting, and an additional control to account for the painting itself
Important terminology
Independent variable: the treatment or manipulation
Dependent variable: the measured outcome (e.g., mating success)
Confounding variable: any uncontrolled factor that could influence the outcome
Control group: baseline for comparison
Phylogenetic tree interpretation (practice with trees)
Root/base represents the common ancestor of all listed organisms
Branch points (nodes) represent common ancestors of the groups to the right of the node
Most Recent Common Ancestor (MRCA) concepts and relative relatedness (e.g., birds and mayflies vs. fish) 8
Core Concepts: Bond Types, Polarity,Water, and Thermodynamics
Bonding types to distinguish
Ionic bonds: transfer of electrons between atoms
Covalent bonds: sharing electrons; can be non polar (equal sharing) or polar (unequal sharing)
Hydrogen bonds: interactions between polar molecules (often involving O, N) that contribute to secondary and tertiary structure
Polarity and electronegativity
Polar bonds typically involve electronegative atoms (O, N) bonded to C or H
Nonpolar bonds occur when electrons are shared between similar electronegativities (e.g., C–C, C–H)
Water properties (examples often tested)
Water is polar; good solvent for polar and charged molecules
High surface tension, high heat capacity
Ice is less dense than liquid water, leading to ice floating; this has life-implications in aquatic environments
pH and acids/bases
Lower pH means higher hydrogen ion concentration; more acidic
Higher pH means lower hydrogen ion concentration; more basic
Thermodynamics and chemical evolution (brief recapitulation)
Spontaneous reactions tend to be exothermic with a tendency toward higher entropy and lower potential energy
Non-spontaneous reactions (or those requiring energy input) tend to be endothermic with higher potential energy and lower entropy
Miller–Urey type experiments illustrate plausible formation of complex organic molecules from inorganic precursors under energy input
Functional groups and organic molecules (overview)
Key polar functional groups: hydroxyl (-OH), carboxyl (-COOH), phosphate (-PO4^3-), amino (-NH2)
These groups define the properties and reactivity of carbohydrates, nucleic acids, and proteins
Conversion into biological relevance
Carbon backbones with functional groups define classes of molecules (carbohydrates, nucleic acids, proteins)
Knowledge of functional groups helps to identify polarity and bonding tendencies in molecules
Core Concepts: Carbohydrates
General roles of carbohydrates
Energy storage and supply (e.g., starch, glycogen)
Structural support (cell walls in plants like cellulose)
Cell identity (surface carbohydrates contributing to recognition)
Monomer types and bonding
Monosaccharides: simplest sugars; classification by number of carbons (trioses, pentoses, hexoses)
Condensation polymerization forms glycosidic bonds between sugar monomers
Bond types: glycosidic bonds link sugars in carbohydrates
Structural differences and functional implications
Beta-1,4 glycosidic bonds (as in cellulose): linear, forms strong hydrogen-bonded fibers for structural support; not easily digested by humans
Alpha-1,4 glycosidic bonds (as in starch and glycogen): branching and energy storage; more accessible to enzymes for quick energy release
Branching: often involves alpha-1,6 linkages, contributing to compact energy storage polymers
Blood-type identity and cell surface recognition
Blood type A, B, AB, O is determined by different carbohydrate structures on red blood cell surfaces; reflects cell identity functions
Core Concepts: Proteins
Amino acid basics
Each amino acid has an amino group, a central carbon (alpha carbon), a carboxyl group, and a distinctive R group
R groups vary and classify amino acids as polar, nonpolar, acidic, or basic
Protein structure hierarchy
Primary structure: amino acid sequence
Secondary structure: alpha helices and beta sheets formed by hydrogen bonds between the backbone amide group and carbonyl group within the same polypeptide
Tertiary structure: three-dimensional folding driven by interactions among R groups (polar, nonpolar, charged)
Quaternary structure: assembly of multiple polypeptide chains
Bonding and interactions in proteins
Hydrogen bonds (backbone) govern secondary structure
Ionic bonds, hydrogen bonds, hydrophobic interactions, and sometimes covalent disulfide bonds stabilize tertiary and quaternary structures
Relationship between primary sequence and structure/function
A single amino acid change can alter folding and function, affecting secondary, tertiary, and quaternary structures (e.g., sickle cell impact on hemoglobin)
Proteins are versatile catalysts because their amino acid sequences allow diverse 3D shapes to bind specific substrates
Functional perspective
Many cellular reactions are catalyzed by proteins, increasing reaction rates and specificity
Nucleic Acids: Polymerization and Bonding (Polymerization and Bonding Overview)
Polymerization and condensation reactions
Polymerization involves condensation reactions that release a small molecule (usually water) as monomers join
General form: Monomer1 + Monomer2 → Polymer + H2O
Bond terminology by macromolecule
Nucleic acids: phosphodiester bonds connect nucleotides
Proteins: peptide bonds connect amino acids
Carbohydrates: glycosidic bonds connect sugar units
Central Dogma and Evolutionary Context (Integrated Concepts)
Central dogma recap
Variation and evolution relationships to the exam content
Variation arises via random mutations; selection acts on variation with respect to fitness in a given environment
Treatments of evolution scenarios (e.g., sickle cell, malaria) illustrate how geography and disease pressures shape allele frequencies over time
Quick Tips for the Exam (From the Review)
Always tie answers back to the SLO sheet bullet points; if a topic isn’t on the SLO sheet, it’s less likely to appear on the exam
Be comfortable with the three criteria of natural selection: variation, heritability, fitness effect
Be able to interpret and analyze data from graphs and experimental scenarios; know how to identify independent vs dependent variables, controls, and confounding variables
Know definitions and distinctions between bonding types and polymerization processes
Practice with phylogenetic trees: root, branch points, and MRCA concepts
For carbohydrates, memorize beta vs alpha linkages and their impact on function (cellulose vs starch)
For nucleic acids, memorize the key structural differences between DNA and RNA, and the base-pairing rules
For proteins, remember the role of R groups in folding and the types of bonds that contribute to structure
Useful Equations and Key Formulas (LaTeX) D
Exam score calculation (as shown above):
Central dogma flow:
Base pairing rules:
DNA:
RNA:
Condensation/polymerization (general):
Bond types (names, not numbers): phosphodiester, glycosidic, peptide, hydrogen, ionic/covalent distinctions.
Quick Reference Checklist (Study Guide Style)
[ ] Nucleic acids: nucleotide components, DNA vs RNA differences, phosphodiester bonds, base pairing, stem-loop vs double helix
[ ] Proteins: amino acid structure, R-group categories, secondary/tertiary structure, effect of mutations, catalytic roles
[ ] Carbohydrates: monosaccharides, glycosidic bonds, beta vs alpha linkages, cellulose vs starch, blood group identities
[ ] Evolution: variation, heritability, fitness; sickle cell/malaria example; random mutations; how primary sequence changes can affect structure
[ ] Bonding and water: polar vs nonpolar, hydrogen bonds, properties of water, pH concepts
[ ] Central dogma and phylogeny: flow of information, interpreting phylogenetic trees
[ ] Experimental design: independent/dependent variables, controls, confounding variables, data interpretation