ZB

Linkage and Mapping: Introduction and Recombination Frequency

  • Administrative Announcements

    • The professor will review their schedule on Friday to potentially add more office hours for next week.

    • Approximately 50 students are currently not on the schedule, indicating a class size of about 100 students who may need appointments.

    • In addition to exam review hours, content review hours will also be posted.

    • An announcement will be made when new appointment slots become available.

  • Introduction to Chapter 5: Linkage and Mapping

    • This chapter introduces concepts (linkage and mapping) that are likely entirely new to most students, unless they have a prior background in genetics.

    • The professor will proceed slowly and encourages students to ask questions for clarity.

    • Key topics for today's lecture include:

      • Defining linkage.

      • Linkage notation.

      • Calculating recombination frequencies.

      • The terms "coupling" and "repulsion."

      • An introduction to two- and three-point crossings (though most detail will be in subsequent lectures).

  • Review of Independent Assortment (Foundation for Linkage)

    • P Generation Example: Starts with homozygous parents for two different traits (e.g., purple flower color (dominant) and long pollen shape (dominant), crossed with red flower color (recessive) and brown pollen shape (recessive)).

    • F1 Generation: All offspring are heterozygous for both traits (e.g., PpLl).

    • F2 Generation (Interbreeding F1 Heterozygotes):

      • If genes assort independently (as learned previously), the expected phenotypic ratio in the F2 generation is 9:3:3:1.n * Numerical Example: If 160 F2 progeny were counted, the expected numbers according to the 9:3:3:1 ratio would be 90:30:30:10.

    • Observed Deviations: Early geneticists, like Gregor Mendel, observed cases where actual F2 progeny ratios (e.g., 84, 21, 21, 55) significantly deviated from the expected 9:3:3:1 ratio.

      • Running a Chi-square test on such data would likely fail (e.g., with a p-value of 0.05), indicating that the observed deviation is