Inheritance, Genes, and Chromosomes Flashcards
Particulate inheritance
Particulate inheritance - hereditary determinants are distinct units (particles), that remain intact when gametes fuse
Blending inheritance
Blending inheritance - hereditary determinants blend in the zygote. Like inks of different colors, once mixed they can no longer be separated
Difference between dominant and recessive alleles
Dominant alleles are expressed; recessive alleles may be mutated and no longer expressed, or encode non-functional
Mendel’s law of inheritance
1st law: the law of segregation - the 2 copies of a gene separate during gamete formation; each gamete receives only 1 copy
2nd law: independent assortment - copies of different genes assort independently. It’s understood in the context of meiosis. Chromosomes segregate independently during formation of gametes, and so do any 2 genes located on separate chromosome pairs
Punnett square
shows you all possible combinations of gametes
What are pedigrees and why are they important?
Human geneticists rely on pedigrees: family trees that show the occurrence of phenotypes in several generations of related individuals. Pedigrees can be used to determine whether a rare allele is dominant or recessive
Incomplete dominance and codominance
Incomplete dominance - alleles are neither dominant nor recessive
Codominance - alleles produce phenotypes that are both present in the heterozygote
Pleiotropy
Pleiotropic - 1 allele has multiple phenotypic effects
What makes an allele pleiotropic?
A gene is pleiotropic if it affects more than one phenotypic trait
Epistasis
phenotypic expression of one gene is influenced by another gene
What factors affect phenotypes?
Light, temperature, nutrition, etc. can affect expression of the genotype
Qualitative vs. quantitative
Qualitative data is descriptive information about characteristics that are difficult to define or measure or cannot be expressed numerically. Quantitative data is numerical information that can be measured or counted.
Examples of qualitative data
feelings and emotions
texture
flavor
color
Examples of quantitative data
height
weight
number of objects
volume
temperature
pressure
price
speed
percentages