Table of contents
- 1. Introduction to Genetics51m
- 2. Mendel's Laws of Inheritance3h 37m
- 3. Extensions to Mendelian Inheritance2h 41m
- 4. Genetic Mapping and Linkage2h 28m
- 5. Genetics of Bacteria and Viruses1h 21m
- 6. Chromosomal Variation1h 48m
- 7. DNA and Chromosome Structure56m
- 8. DNA Replication1h 10m
- 9. Mitosis and Meiosis1h 34m
- 10. Transcription1h 0m
- 11. Translation58m
- 12. Gene Regulation in Prokaryotes1h 19m
- 13. Gene Regulation in Eukaryotes44m
- 14. Genetic Control of Development44m
- 15. Genomes and Genomics1h 50m
- 16. Transposable Elements47m
- 17. Mutation, Repair, and Recombination1h 6m
- 18. Molecular Genetic Tools19m
- 19. Cancer Genetics29m
- 20. Quantitative Genetics1h 26m
- 21. Population Genetics50m
- 22. Evolutionary Genetics29m
3. Extensions to Mendelian Inheritance
Chi Square Analysis
Problem 14
Textbook Question
An experienced goldfish breeder receives two unusual male goldfish. One is black rather than gold, and the other has a single tail fin rather than a split tail fin. The breeder crosses the black male to a female that is gold. All the F₁ are gold. She also crosses the single-finned male to a female with a split tail fin. All the F₁ have a split tail fin. She then crosses the black male to F₁ gold females and, separately, crosses the single-finned male to F₁ split-finned females. The results of the crosses are shown below.
Black male x F₁ gold female:
Gold 32
Black 34
Single-finned male x F₁ split-finned female:
Split fin 41
Single fin 39
Use chi-square analysis to test your hereditary hypothesis for each trait.
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1
<span>Step 1: Formulate a hypothesis for each trait. For the color trait, hypothesize that gold is dominant over black. For the tail fin trait, hypothesize that split fin is dominant over single fin.</span>
<span>Step 2: Determine the expected phenotypic ratios based on your hypotheses. For the color trait, expect a 1:1 ratio of gold to black in the offspring. For the tail fin trait, expect a 1:1 ratio of split fin to single fin in the offspring.</span>
<span>Step 3: Calculate the expected numbers of each phenotype based on the total number of observed offspring. For the color trait, calculate the expected number of gold and black offspring. For the tail fin trait, calculate the expected number of split fin and single fin offspring.</span>
<span>Step 4: Use the chi-square formula \( \chi^2 = \sum \frac{(O_i - E_i)^2}{E_i} \) to calculate the chi-square value for each trait, where \( O_i \) is the observed frequency and \( E_i \) is the expected frequency.</span>
<span>Step 5: Compare the calculated chi-square values to the critical value from the chi-square distribution table at the appropriate degrees of freedom (df = 1 for a 1:1 ratio) and significance level (commonly 0.05) to determine if the observed ratios significantly deviate from the expected ratios.</span>
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Mendelian Inheritance
Mendelian inheritance refers to the principles of heredity established by Gregor Mendel, which include the concepts of dominant and recessive traits. In this scenario, the gold color in goldfish is likely a dominant trait, while the black color is recessive. Understanding these principles is crucial for predicting the outcomes of genetic crosses and interpreting the results of the F₁ generation.
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Chi-Square Analysis
Chi-square analysis is a statistical method used to determine if there is a significant difference between observed and expected frequencies in genetic data. In this context, it helps assess whether the observed ratios of gold to black fish and split to single fin fish align with Mendelian expectations, thereby validating or refuting the breeder's hereditary hypotheses.
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Phenotypic Ratios
Phenotypic ratios represent the relative frequencies of different observable traits in the offspring resulting from genetic crosses. In this case, the ratios of gold to black and split to single fin fish provide insight into the inheritance patterns of the traits. Analyzing these ratios is essential for understanding the genetic basis of the traits and for applying chi-square analysis effectively.
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