Exam 5
Heredity
Diploid individual
- Each chromosome has a partner
- Homologous chromosomes
- Resemble each other in size, shape & hereditary information
- Each homolog is from a different parent
Independent assortment
- During Metaphase I
- Orientation of bivalents is random
During Metaphase II - Orientation of sister chromatids is random
Crossing over
- During Prophase I
- Synaptonemal complex forms
- Mixes the genes present in homologous chromosomes
- Results in new combinations not present in the chromosomes of the parental cells
Sexual reproduction
- New combination of alleles from each parent
- Promotes heterozygosity
- Advantages include
genetic diversity
Bet-hedging to novel environments
Multiple deleterious alleles can be bunched together and eliminated
Mendelian genetics
3 Principles
- Dominance
- Segregation
- Independent Assortment
Principle of Dominance
- Each individual has a unique genotype
- Genotype is made up of alleles
- Phenotypes determined by these alleles (and the environment)
- There is no guarantee that an allele will manifest
Heterozygosity - One of 2 genes (dominant allele) has a detectable effect on an organism's appearance
Principle of Segregation
- Alleles are segregated, separated, from one another during meiosis
- Each gamete contains only one allele for each gene
- Offspring inherit 2 alleles for a gene
One from each parent
Monohybrid cross
- Punnett square
- Visual representation of the offspring inheritance patterns
- Monohybrid is a cross between 2 homozygous parents with different alleles.
Principle of Independent Assortment
- Gene pairs that are not related (homologs) segregate independently
- Gene pairs that are not linked segregate independently
Dihybrid example
- Same as previous video
- For reference
- Parental
True breeding
Homozygous - F1
First filial generation
Heterozygotes
Extensions to Mendel’s Principles
Incomplete dominance
- Phenotype of heterozygote is intermediate between those of parent homozygotes
- Snapdragons
Red x white = pink
Multiple alleles
- Many populations have more than 2 alleles for a particular locus
- Punnett square theoretical crossing works similar
- Breeding experiments to determine dominance
Figuring out alleles is complex
Mutations
- Changes in the genetic makeup of an individual
Point mutation - Single nucleotide change
Chromosome mutation
Deletion - Segments of chromosome are lost
Duplication - Part of the chromosome has doubled
- Inversion
Piece rotates 180 - Translocation
Exchange of parts between 2 nonhomologous chromosomes
No crossing over
- Fail to mix alleles across homologs
- Chromosome inherited same as parent
- Only 2 gamete types possible rather than 4
Polygenic inheritance
- Multiple genes for one character
- Phenotype is cumulative result of combined effects of many genes
- Example abscisic acid
- Most traits
- Continuous variation
- Populations tend to have normal distribution
Epistasis
- One gene interacts with another
- May interfere or mask
Ex: digitalis petal color - One gene impacts red intensity
Pigment location
w throughout corolla
Linkage
- 4 haploid genotypes
- Not produced in equal numbers
Recombinants less abundant
Parentals more abundant
Pleiotropy
- Single gene with multiple effects on the phenotype
- Inheritance of a single gene which visibly influences several traits
Ex: awn of wheat
Wheat with awns have greater yield than those without awns
Linkage in Clarkia
Or maybe pleiotropy
- Selfer
- Small petals
- Flower early
- Seasonal droug
- Physiologically escape?
- Outcrosser
Large petals
Flower late
Seasonal droug
Polyploidy
- Having more than two copies (2n) of a chromosome
- Autopolyploid
Failed meiosis
Self fertilization - Allopolyploid
Meiotic error
Mismatch during mating
Second mating creates matched pairs
Polyploid example
- Wheat
- Result of sequential hybrid doubling and quadrupling
- Original ancestral species had 14 chromosomes
- Durum wheat
Polyploid example
- Strawberry
- Chemically induced
- Prevent microtubule formation
Required for meiosis to occur properly
Evolutionary significance
- Polyploid mask deleterious recessive alleles
- Relax selection pressure
Accumulate mutations that eventually result in beneficial trait - 2 groups of ancient duplications
- Common ancestor of seed plants
Hardy-Weinberg equation
Gene pool
- All of the alleles of every gene in a population make up the gene pool
- A population is a group of individuals of the same species that occupy the same region and can interbreed with each other
Gene Pool: Allele & Genotype Relative frequencies
- Allele frequency
- Number of copies of an allele in a population divided by the total number of alleles for that gene in a population
- Genotype frequency
- Number of individuals with a particular genotype in a population divided by the total number of individuals in a population
Allele Relative Frequency
- Number of copies of an allele in a population
- Divided by
- The total number of all alleles for that gene in a population
Genotype Relative Frequency
- Number of individuals with a particular genotype in a population
- Divided by
- The total number of all individuals in a population
Hardy-Weinberg equation
predicts an equilibrium-unchanging allele and genotype frequencies from generation to generation-if certain conditions exist in a population
- No new mutations
- No genetic drift. The population is so large allele frequencies do not change due to random sampling effects
No migration - No natural selection
- Random mating
Actual Allele Relative frequencies
- 45 red flowered, homozygous plants
- 25 red flowered, heterozygous plants
- 23 white flowered plants
- 45 RR
- 25 Rr
- 23 rr
Actual Genotypic frequencies
Phenotypes
- 45 red flowered, homozygous plants
- 25 red flowered, heterozygous plants
- 23 white flowered plants
Genotypes - 45 RR
- 25 Rr
- 23 rr
Frequencies in populations add up to 1
- Consider a dimorphic population (2 alleles) such as our red and white flowers with alleles R & r
- All alleles in the population add up to 100% or 1
- All genotypes in the population add up to 100% or 1
- Red & White flower examples
Allele frequencies
r = 0.38, R = 0.62;
0.38 + 0.62 = 1
Genotypic frequencies
rr = 0.25, RR = 0.48, Rr = 0.27;
0.25 + 0.48 + 0.27 = 1
HW vs Punnett
- Genotypic frequency:
RR= 0.38
Rr= 0.24+0.24= 0.48
rr= 0.14 - The frequency of gametes carrying a particular allele is equal to the allele frequency for a population in Hardy-Weinberg equilibrium.
HW equations
The frequency of the dominant allele is represented by p
The frequency of the recessive allele is represented by q
Thus p+q=1
Therefore (p+q)2=1squared
And p2+2pq+q2=1
The Assumptions of HW
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Microevolution
- Changes in a population’s gene pool from generation to generation
- Factors
Mutation
Natural selection
Genetic drift
Migration
Mutation
- Change in one of the nucleic acids
- Some are apparent in phenotype
- Source of all new alleles
- Must be in gametes to be inherited
Polymorphism
- Dimorphic
- 2 phenotypes
- Dominant-recessive systems
- Polymorph = many phenotypes in a population
Example: Aquilegia
Color variation
Genetic drift
- Random loss of alleles
- Acts most strongly in small populations relative to large
- Bottleneck effect
- Large population diminished suddenly
Nonrandom mating
- Plants “choose” their mates
Pollinator vectors - Some of the individuals reproduce more than others
Nonrandom Mating: Sexual Selection
- Male-male competition
- Excess of pollen grains
- Pollen tubes can interfere with one another
Female choice - Barriers on stigma surface preventing germination
Migration, Gene flow
- Movement of alleles into and out of a population
-Immigration - Into
Emigration - Out of
Can be impeded by
The environment
Life history
Adaptive radiation
- Bottleneck from long distance dispersal
- Followed by adaptive radiation
- Example: Hawaiian lobeliads
Natural selection
- One allele selectively advantageous
- In this example, 2 (triangle) has more vigorous offspring
- Over time, individuals with the 2 genotype are able to reproduce more and grow in numbers
- The overall vigor of the population grows
Artificial selection
- Selection by humans
- Increased frequency of desired trait
- Crop breeders for thousands of years
- Example Brassica
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Patterns of natural selection
Natural Selection or Not?
- Death does not mean natural selection has occurred
- Differential survival
- Survival due to phenotypes that are heritable
Phenotype coded by genotype
Natural selection related to molecular genetics
- Within a population there is allelic variation arising from various factors such as mutations causing differences in DNA sequences
- Distinct alleles may encode proteins of differing functions
- Over the course of many generations, allele frequencies of many different genes may change through natural selection
- This significantly alters the characteristics of a species
Communities
Population demography
Population size over time
- Population size (N)
- Exponential growth
- J-shaped curve
- Unlimited resources
- Logistic growth
- S-shaped curve
- Typical of a population that
Reaching carrying capacity
Overshoot K
Result in die off
Growth models
- r = intrinsic growth rate
- N = population size
- K = carrying capacity
- dN/dt = population change over time
- Exponential growth
- dN over dt equals r times N
- Logistic growth
dN over dt equals r times N times the quantity one minus N divided by K
Model details for population growth
Exponential growth
dN/dt = rN
Logistic growth
dN/dt =
rN(1-N/K)
r- vs K- selected species
- r-selected
- Grow exponentially
- Disturbed areas
- Weedy
- Annuals
- Little investment in defense
- Many, small fruits
- K-selected
- Fluctuate around carrying capacity
- Fairly stable habitats
Perennials
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Life History
Age distribution
- x = age
- Nx= number of individuals alive at age x
- Sx= proportion of individuals of age x that survive to age x+1;
Nx+1/Nx - lx= proportion of individuals that survive from birth (age 0) to age
Life table practice, R0
- Calculate the net reproductive rate (R0)
- Calculated by taking the sum of the offspring/individual column.
- Represents the expected number of offspring an individual will produce over its lifetime in the population.
Life table practice, G
- Calculate the mean generation time (G)
- Calculated by taking the sum of the Age-weighted fecundity column and then dividing by the net reproductive rate
- Represents average time between two consecutive generations in the lineage of a cohort
- The average age between parent and offspring
Life table practice, r
- Calculate the intrinsic growth rate (r)
- Calculated by taking the natural log of the net reproductive rate divided by the mean generation time.
Survivorship curves and age structure
- How long did individuals survive
- Visual representation of survivorship
- Type I, typical of K-selected species
Poa annua survivorship curve
- Survivorship curves are plotted logarithmically
- Take survivorship (lx) and multiply by 1000
- Take the log10 of this value
- Plot against age to produce a figure
Species interactions w/in a community
Community
- a group of actually or potentially interacting species living in the same location.
- bound together by a shared environment and a network of influence each species has on the other.
- factors affecting interactions include
Biotic interactions between species
- Range of interactions
- Beneficial interactions +
- Negative interaction -
- Facilitation (+/+)
- Negative interaction -
- Facilitation (+/+)
- Commensalism (0/+)
Benefits one, neutral to the other - Amensalism (0/-)
Negative to one & neutral to other- Competition (-/-)
- Both are negatively impacted
-Predation (+/-)
Herbivory
Predator-prey interactions
- Predator
- P
- Negative impact on prey
- Positively impacted by prey
- Prey
- N
- Positive impact on predator
- Negatively impacted by predator
Growth models
- r = intrinsic growth rate
- N = population size
- K = carrying capacity
- dN/dt = population change over time
- Exponential growth
- Logistic growth
Predator-prey cycling
- At low prey and predator population sizes, prey increase exponentially
- As more food for predators is available, predator survival and reproductive success increases, resulting in predator population growth following that of their prey
- As predator populations increase, prey death rate exceeds birth rate, resulting in prey decline
- As prey number declines, there is not enough food to sustain a high predator population and thus predator death rate exceeds that of birth rate
Lotka-Volterra models
- dN/dt = rN-aNP
- dN/dt=rate of change with time of the prey population
- r=intrinsic rate of increase for prey
- N=number of prey individuals
- a=predator’s per capita attack rate
- Number of prey eaten per predator per unit time
dP/dt = faNP-qP - dP/dt= rate of change with time of predator population
- f=constant, indicating predator’s efficiency at converting the prey it has eaten into new predators
- q=predator’s per capita mortality rate
LV Practice
- Prey population change
- The number of prey N = 1200,
rate of capture or the predation constant a = 0.004, - Intrinsic growth rate, r = 0.7 = and
- Number of predators, P = 130?
dN/dt = rN-aNP - Predator population change
N = 1200,
a = 0.004, - f = 0.025 predator birth constant,
- q = 0.12 predator death constant
and P = 130 number of predators