CHAPTER 3 Basic Principles of Heredity (Lecture 2.1–2.5)

Mendel and Monohybrid Crosses (Lecture 2.1)

  • Learning objectives (end of lecture): explain how Gregor Mendel discovered principles of heredity, and predict progeny in simple crosses.

    • Identify factors that led to Mendel’s success.

    • Explain how the principle of segregation and dominance account for results from one-gene crosses.

    • Explain how chromosome separation in meiosis produces inheritance of alleles.

    • Predict progeny in genetic crosses using a Punnett square.

  • Chapter opener (p. 47): Blond hair in Solomon Islanders is recessive and has a different genetic basis from blond hair in Europeans, illustrating difference in genetic basis across populations.

  • Concepts interwoven throughout the chapter:

    • Mendel’s principles of segregation and independent assortment.

    • Probability.

    • The behavior of chromosomes. These concepts are interconnected views of the same phenomenon.

  • Mendel’s choice of subject and approach (Page 5–6):

    • Experimental subject: Pisum sativum (pea plant) – easy to grow, short generation time, many offspring (seeds), many pure-breeding varieties, chosen seven characters each with two contrasting forms.

    • Good experimental methodology and accurate records.

    • Interpreted results with mathematics; formulated and tested hypotheses.

    • Mendel’s success rooted in careful observations, quantitative analysis, and a scientific method approach.

  • The seven pea traits Mendel examined (Page 6):

    • Seed shape: Round vs Wrinkled

    • Seed color: Yellow vs Green

    • Seed coat color: Gray vs White

    • Flower position: Axial vs Terminal (along stem vs at tip of stem)

    • Stem length: Tall vs Short

    • Pod color: Yellow vs Green

    • Pod shape: Inflated vs Constricted

  • Genetic terminology (TABLE 3.1) – definitions:

    • Gene: An inherited factor (encoded in DNA) that helps determine a characteristic.

    • Allele: One of two or more alternative forms of a gene.

    • Locus: The specific place on a chromosome occupied by an allele.

    • Genotype: Set of alleles possessed by an individual.

    • Heterozygote: An organism with two different alleles at a locus.

    • Homozygote: An organism with two identical alleles at a locus.

    • Phenotype (trait): The appearance or manifestation of a characteristic.

    • Characteristic (or trait): An attribute or feature possessed by an organism.

  • Example genetics terminology: an individual can be heterozygous at the R-locus with genotype RrRr; other individuals could be RRRR or rrrr at that locus.

  • Multiple loci on a chromosome: definitions when considering more than one gene:

    • Homozygous at a locus: two identical alleles (e.g., BBBB).

    • Heterozygous at a locus: two different alleles (e.g., GgGg, AaAa).

    • Loci for characteristic 1 (e.g., G), characteristic 2 (A), etc.

  • Genetic model: genotype vs phenotype and environment:

    • Inheritance: An individual inherits only the alleles of the genotype.

    • Phenotype is determined by the genotype (interaction of alleles at a locus) plus environmental factors (enviro effects can be large or small depending on the trait).

    • Representation: P=G+EP = G + E

    • Mendel observed phenotypes to deduce genotypes and the rules of inheritance; not always a direct genotype–phenotype relationship.

  • Monohybrid crosses: revealing segregation and dominance (Lecture 2.1, 3.1):

    • Monohybrid cross: cross between two parents differing in a single characteristic (e.g., male round seeds × female wrinkled seeds). Pure-breeding lines are homozygous.

    • Reciprocal cross: opposite phenotypes in the parents (e.g., male wrinkled × female round).

    • Mendel’s scientific method in action.

  • Mendel’s question and approach (Pages 12–13):

    • Experimental strategy: cross peas with round and wrinkled seeds to determine whether progeny show one trait, both traits, or an intermediate trait.

    • Observed results led to the conclusion that parent plant traits do not blend but that both traits are inherited and can appear in later generations.

    • F1 plants show phenotype of one parent; F2 shows a 3:1 ratio (round:wrinkled) for the trait in question.

  • Mendel’s conclusions from monohybrid crosses (Page 14):

    • Conclusion 1: One character is encoded by two genetic factors (two alleles per gene).

    • Conclusion 2: The two alleles separate during gamete formation, one per gamete (segregation).

    • Conclusion 3: Concept of dominance and recessiveness.

    • Conclusion 4: Two alleles separate with equal probability into gametes (equal segregation).

    • These are Mendel’s laws of segregation and dominance.

  • Example: monohybrid cross (seed shape: round vs wrinkled):

    • Parental genotypes: RR × rr produce F1 = Rr; self-fertilization (Rr × Rr) yields F2 with phenotypes 3/4 Round : 1/4 Wrinkled and genotypes 1/4 RR : 1/2 Rr : 1/4 rr.

    • Interpretation: no blending; dominance; 3:1 phenotypic ratio; 1:2:1 genotypic ratio.

    • Punnett square illustration (P, F1, F2 generations) demonstrates 3:1 and 1:2:1 ratios.

  • Principles in context of meiosis and DNA (Pages 17–24):

    • Principle of segregation: two alleles for a locus segregate into gametes during meiosis (Anaphase I); gametes receive one allele each in equal proportions.

    • Dominance: the phenotype observed depends on the presence of a dominant allele in a heterozygote.

    • Role of DNA: chromosome is a linear DNA molecule; a gene is a DNA sequence on a chromosome that encodes a product (RNA or protein).

    • Alleles are alternative forms of a gene; different alleles encode different variants of the trait.

    • Molecular basis example: R locus encodes enzyme SBEI; R allele yields normal enzyme; r allele is a mutation resulting in a nonfunctional enzyme, leading to wrinkled phenotype due to disrupted starch and water balance in the seed.

    • Genotype-phenotype correlation: RR and Rr produce sufficient enzyme for normal phenotype; rr lacks functional enzyme leading to wrinkled seeds.

  • Relating crosses to meiosis (Page 23–24):

    • Chromosome theory of heredity: genes located on chromosomes; behavior of chromosomes during meiosis explains inheritance patterns.

    • Without crossing over, segregation follows predictable patterns; crossing over can complicate but still underlies independent assortment for distant loci.

  • Predicting outcomes with the Punnett square (Chapter 3, 2.5):

    • Punnett square as a tool to predict genotypic and phenotypic outcomes.

    • Example: tall (T) vs short (t). If crossing tall × short with heterozygotes (Tt × TT or Tt × Tt), use Punnett or probability rules to deduce ratios.

    • For the simple Aa × Aa cross, probability of AA: 1/4, Aa: 1/2, aa: 1/4; dominant phenotype probability is 3/4.

  • Worked examples and additional cross-pairs (Pages 26–28):

    • Foxes: silver coat color (recessive r) vs red (dominant R). Expected genotypic and phenotypic ratios in carrier red × silver and pure red × silver crosses demonstrate classic Mendelian ratios.

    • Rabbits: short hair (dominant H) vs long hair (recessive h). A cross between a short-haired female and a long-haired male produced 1 long-haired : 5 short-haired in observed results; consider genotype combinations and expected ratios; explain deviations.

    • Punnett square and branch diagram methods can be used to illustrate these crosses.

  • Summary of key formulas and ratios:

    • Mendelian phenotypic ratio for a monohybrid cross (dominant trait): 3:13:1 (dominant:recessive).

    • Mendelian genotypic ratio for a monohybrid cross (Aa × Aa): 1:2:11:2:1 (AA:Aa:aa).

    • Dihybrid phenotypic ratio for independent assortment: 9:3:3:19:3:3:1 (round yellow : round green : wrinkled yellow : wrinkled green).

    • Punnett square as a predictive tool; probability-based approaches can replace or complement Punnett squares for more complex crosses.

    • Probability basics: P=racn<em>exttimeseventoccursn</em>exttotaloutcomesP = rac{n<em>{ ext{times event occurs}}}{n</em>{ ext{total outcomes}}}, and product rules for independent events: P(extAandB)=P(A)imesP(B)P( ext{A and B}) = P(A) imes P(B); addition rule for mutually exclusive events: P(AextorB)=P(A)+P(B)P(A ext{ or } B) = P(A) + P(B).

    • Binomial expansion: (p+q)n=(n0)pnq0+(n1)pn1q1+(n2)pn2q2++(nn)p0qn(p+q)^n = \binom{n}{0} p^{n} q^{0} + \binom{n}{1} p^{n-1} q^{1} + \binom{n}{2} p^{n-2} q^{2} + \dots + \binom{n}{n} p^{0} q^{n}; for two outcomes, the common simplified form for five children: p5+5p4q+10p3q2+10p2q3+5pq4+q5p^5 + 5p^4 q + 10p^3 q^2 + 10p^2 q^3 + 5p q^4 + q^5 where p and q are the probabilities of the two outcomes.

Probability as a Tool in Genetics (Lecture 2.2)

  • Probability (P) in genetics:

    • Definition: P expresses the likelihood of an event; P=racextnumberoftimeseventoccursextnumberofallpossibleoutcomesP = rac{ ext{number of times event occurs}}{ ext{number of all possible outcomes}}

    • Examples: card draws, dice rolls, etc. (e.g., for an Ace in a deck: rac452=rac113rac{4}{52} = rac{1}{13}).

    • Use in genetics: predicting offspring outcomes using rules (multiplication, addition), and conditional probability.

  • The multiplication rule (independent events):

    • If two events occur together, multiply their probabilities: e.g., rolling a die twice and getting a 4 then a 6: P(4extthen6)=rac16imesrac16=rac136P(4 ext{ then } 6) = rac{1}{6} imes rac{1}{6} = rac{1}{36}

    • In genetics, applying the multiplication rule to independent loci (e.g., two unlinked genes) to predict joint genotype/phenotype probabilities.

  • The addition rule (mutually exclusive events):

    • If only one of two mutually exclusive outcomes occurs (e.g., rolling a 3 or a 4): P(3extor4)=P(3)+P(4)=rac16+rac16=rac13P(3 ext{ or } 4) = P(3) + P(4) = rac{1}{6} + rac{1}{6} = rac{1}{3}

  • Using probability rules in genetics (beyond Punnett squares):

    • For Aa × Aa, probability of AA is rac14rac{1}{4}; probability dominant phenotype (AA or Aa or aA) is rac34rac{3}{4}.

    • For more complex crosses or multi-locus problems, binomial expansion is often faster than drawing large Punnett squares.

  • Conditional probability in genetics (Lecture 2.2):

    • Example: Tt × Tt (tall plants). Among tall progeny, what fraction are heterozygous (Tt)?

    • Cross: tall phenotypes include TT and Tt; genotype distribution for all offspring is TT:Tt:tt=frac14:frac12:frac14TT: Tt: tt = frac{1}{4} : frac{1}{2} : frac{1}{4}, but conditional on tall phenotype (T_), the distribution among tall plants is racTTTT+Tt:racTtTT+Tt=rac13:rac23rac{TT}{TT+Tt} : rac{Tt}{TT+Tt} = rac{1}{3} : rac{2}{3}, i.e. extP(extheterozygousexttall)=rac23ext{P}( ext{heterozygous} \big| ext{tall}) = rac{2}{3}.

  • The binomial expansion and probability in genetics (Lecture 2.2):

    • When there are multiple births (e.g., children) with two outcomes (disease vs normal), and each event is independent with probabilities p and q (p + q = 1), the binomial expansion applies.

    • Coefficients come from Pascal’s triangle; for n = 5, coefficients are 1, 5, 10, 10, 5, 1.

    • Example: Aa × Aa → 3:1 phenotypic ratio; 5-child example: probability of exactly s occurrences of an outcome is given by the term
      (ns)psqns\binom{n}{s} p^{s} q^{n-s}

    • The general formula for any specific combination (order not specified) is:
      P=racn!s!t!psqtP = rac{n!}{s! \, t!} p^{s} q^{t} where s + t = n.

  • Worked problem examples (Lecture 2.2):

    • Five children, two possible outcomes (sickle cell anemia vs normal): for exactly 3 affected (sickle), probability is (53)(1/4)3(3/4)2=10(1/4)3(3/4)2=0.088.\binom{5}{3} (1/4)^3 (3/4)^2 = 10 (1/4)^3 (3/4)^2 = 0.088.

    • If order matters, or multiple combinations are considered, use the product rule and/or binomial expansion to sum probabilities.

  • Practical exercise prompts and common checks:

    • Practice with binomial coefficients from Pascal’s triangle (Table 3.3) to determine coefficients for (p + q)^n expansions.

    • Understand when to apply multiplication vs addition rules in genetic crosses.

Testcrosses, Nomenclature, and Dihybrid Crosses (Lecture 2.3)

  • Testcross definition and purpose:

    • Cross an individual with an unknown genotype to a homozygous recessive tester (tt) to reveal genotype.

    • Example: tall phenotype plant: genotype could be TT or Tt. Cross TT × tt yields all Tt; Tt × tt yields 1/2 Tt : 1/2 tt.

  • Allele nomenclature and naming rules (Lecture 2.3, Section 3.4):

    • A gene is on the same locus on homologous chromosomes, but different alleles exist.

    • Use the same letter for alleles and distinguish alleles by case, superscripts, subscripts, or a combination.

    • Dominant allele is uppercase; recessive allele is lowercase (A vs a).

    • Wild type allele can be marked with a plus superscript (e.g., A+), while mutant/rare allele is without plus.

    • Superscripts and subscripts help distinguish multiple alleles (e.g., Lfr1, Lfr2).

    • Slash notation can distinguish two alleles in a genotype (El+/ElR or +/ElR).

    • For multi-locus genotypes, spaces separate loci (e.g., El+/ElR G/g).

  • Simple genetic-crossover ratios (TABLE 3.5 and 3.6):

    • Phenotypic ratios for a single locus with dominance:

    • 3:1 (Aa × Aa; 3/4 A_ : 1/4 aa)

    • Genotypic ratios for Aa × Aa:

    • 1:2:1 (AA : Aa : aa)

    • Genotypic/phenotypic outcomes depend on parental genotypes and dominance relationships.

  • The complexity of genetic traits (Lecture 2.3, Page 59):

    • Not all traits follow simple Mendelian inheritance.

    • Genetic variation at multiple loci can produce the same phenotype.

    • Alleles at multiple loci can combine their effects to influence a trait.

    • Environmental factors can influence trait expression (multifactorial inheritance).

  • Dihybrid cross and independent assortment (Chapter 3.3):

    • Dihybrid cross: two parents differ at two loci (e.g., seed shape and color): Round, Yellow (RRYY) × Wrinkled, Green (rryy).

    • F1: all Round, Yellow (RrYy).

    • F2: expected phenotypic ratio for independently assorted loci: 9:3:3:19:3:3:1 (Round Yellow : Round Green : Wrinkled Yellow : Wrinkled Green).

    • Summary steps: P generation (RRYY × rryy) → gametes (RY) → F1 (RrYy) → self-fertilization → F2 genotypic/phenotypic outcomes.

  • Independent assortment and meiosis:

    • Independent assortment applies to loci on different chromosomes (or far apart on the same chromosome).

    • Genes on the same chromosome do not assort independently unless crossing over occurs between them (see later). The rule still holds for unlinked genes.

  • Branch diagrams and dihybrid test crosses (Lecture 2.4):

    • Use branch diagrams to work crosses with two or more genes, predicting genotype and phenotype ratios.

    • Use probability to predict progeny for crosses with more than two loci.

    • Testcrosses are valuable for resolving genotype information in multi-locus scenarios.

  • Dihybrid testcross (example): RrYy × rryy cross using branch diagram:

    • First characteristic (R locus): Rr × rr yields 1/2 Rr and 1/2 rr.

    • Second characteristic (Y locus): YY × yy yields 1/2 Yy and 1/2 yy, etc.

    • Combined expectations give 1/4 for each of the four phenotypic classes in a dihybrid testcross when both loci segregate independently.

  • Using probability with multiple loci (Lecture 2.4):

    • When more than two loci are involved, it is efficient to multiply independent single-locus probabilities or to use branch diagrams to combine probabilities.

    • Example: Aa Bb cc Dd Ee × Aa Bb Cc dd Ee: probability of aa bb cc dd ee = P(aa) × P(bb) × P(cc) × P(dd) × P(ee).

  • Worked cucumber example (Lecture 2.4): three genes on different chromosomes: dull vs glossy (D/d), orange vs cream (R/r), bitter vs nonbitter (B/b).

    • Parental genotypes: DD RR BB × dd rr bb → F1: DdRrBb (all phenotypes intermediate).

    • F1 × F1 intercross yields 9:3:3:1 dihybrid-type outcomes for three loci under independent assortment when all loci assort independently; note deviations can occur with linkage or epistasis.

Chi-Square Goodness-of-Fit Test (Lecture 2.5)

  • Objective:

    • Use the chi-square goodness-of-fit test to determine whether deviations between observed and expected progeny numbers can be attributed to chance.

  • Why observed ratios may deviate from expected:

    • Random fluctuations, sampling error, small sample sizes increase deviation likelihood.

  • The chi-square test basics:

    • Formula: χ2=(O<em>iE</em>i)2E<em>i\chi^2 = \sum \frac{(O<em>i - E</em>i)^2}{E<em>i} where Oi are observed counts and E_i are expected counts for each category.

    • Degrees of freedom: df=ext(numberofclasses)1.df = ext{(number of classes)} - 1.

    • Compare the calculated chi-square value to a chi-square distribution table to obtain a probability (P-value).

    • If P > 0.05, differences are not considered statistically significant (fail to reject H0); if P < 0.05, there is a significant difference beyond chance.

  • Example and interpretation (cockroaches):

    • Cross Yy × yy (brown dominant to yellow). Expected 20 brown, 20 yellow out of 40 offspring (ratio 1:1).

    • Observed data: various distributions; compute chi-square to determine if observed deviation could occur by chance.

    • If x^2 calculation yields P > 0.05, no significant difference; if P ≤ 0.05, significant deviation.

  • Worked Mendelian dihybrid chi-square example (Lecture 2.5):

    • Data: 315 round yellow, 108 round green, 101 wrinkled yellow, 32 wrinkled green in F2 of a dihybrid cross.

    • Test whether this fits the expected 9:3:3:1 ratio using
      χ2=(O<em>iE</em>i)2Ei\chi^2 = \sum \frac{(O<em>i - E</em>i)^2}{E_i}

    • Degrees of freedom: df=41=3df = 4 - 1 = 3 (four phenotypic classes).

    • Compare to critical values (Table 3.7) to determine P-value and significance.

  • Practical notes:

    • When multiple classes are involved, it is common to group rare classes to maintain validity of the chi-square test.

    • If the calculated P-value is less than 0.05, conclude a significant deviation exists.

  • End-of-unit study guidance:

    • Revise using the textbook and lectures; utilize Achieve resources and problem sets; complete Achieve assignments; prepare for tutorials; seek help if needed.

Connections and Real-World Relevance

  • The chromosome theory of inheritance explains Mendelian patterns via behavior of chromosomes during meiosis.

  • The concept of alleles and their molecular basis shows how DNA sequence variation leads to phenotypic variation (e.g., SBEI enzyme in peas and the R/r alleles affecting seed shape).

  • Simple Mendelian patterns provide foundations for understanding more complex inheritance, including multifactorial traits and gene interactions.

  • Probability and statistics (binomial expansion, Pascal’s triangle, chi-square) are essential tools for predicting and testing genetic hypotheses in populations.

Key Takeaways (quick reference)

  • Mendel’s laws: segregation (first law) and independent assortment (second law) explain how alleles separate and how different loci assort.

  • Dominance and recessiveness describe how certain alleles mask others in heterozygotes.

  • Genotype vs phenotype: not always a direct genotype–phenotype mapping; environment can influence phenotype.

  • Punnett squares predict offspring ratios; probability rules provide a powerful alternative method, especially for multi-locus crosses.

  • Dihybrid crosses reveal independent assortment; phenotypic ratio 9:3:3:1 when two loci assort independently.

  • Testcrosses help determine unknown genotypes by crossing with homozygous recessives.

  • Nomenclature and notation for alleles follow consistent rules to distinguish multiple alleles across loci.

  • Chi-square test is used to assess whether observed deviations from expected Mendelian ratios can be attributed to chance; df = (# classes) - 1.

Worked Problems and Practice Themes (highlights)

  • Predicting offspring with single-locus crosses: 3:1 phenotypic, 1:2:1 genotypic.

  • Multi-locus crosses: 9:3:3:1 dihybrid ratio; 1/2 and 1/4 probabilities for various gamete outcomes.

  • Conditional probability can refine predictions when conditioning on a phenotype (e.g., tall plants that are heterozygous).

  • Binomial expansion is a powerful tool for calculating probabilities in families with many children or multiple independent events.

Notes on the Study Unit Structure

  • Lectures covered: 2.1 Mendel and monohybrid crosses; 2.2 Probability as a tool in genetics; 2.3 Testcross, dihybrid crosses; 2.4 Branch diagrams; 2.5 Chi-square test.

  • Each lecture built a scaffold from basic Mendelian genetics to probability methods and statistical testing, culminating in methods to analyze complex crosses and assess data against Mendelian expectations.