Population Genetics. Hardy-Weinberg Equilibrium Determination a)A b)B c)both A and B d)neither A nor B Which of these populations are in Hardy- Weinberg.

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Presentation transcript:

Population Genetics

Hardy-Weinberg Equilibrium Determination a)A b)B c)both A and B d)neither A nor B Which of these populations are in Hardy- Weinberg equilibrium?

Question 6 – Chap. 23 Researchers examining a particular gene in a fruit fly population discovered that the gene can have either of two slightly different sequences, designated A1 and A2. Further tests showed that 70% of the gametes produced in the population contained the A1 sequence. If the population is at Hardy-Weinberg equilibrium, what proportion of flies carries both A1 and A2? A 0.7B 0.49 C 0.21 D 0.42E 0.09

Question from an earlier edition of Campbell At a locus with a dominant and recessive allele in Hardy-Weinberg equilibrium, 16% of the individuals are homozygous for the recessive allele. What is the frequency of the dominant allele in the population? A 0.84 B 0.36 C 0.6 D 0.4E 0.48

Hardy-Weinberg Equilibrium Hardy-Weinberg Equilibrium is based on: 1. A very large population where all genotypes are equally viable 2. Random mating (panmixia) 3. No mutations 4. No gene flow (dispersal of individuals and their genes) 5. No natural selection

Evolutionary Change Evolution is a generation to generation change in a population’s frequencies of alleles – change in proportions of alleles in the gene pool is evolution at its smallest scale and is often referred to as microevolution The two main causes of microevolution are genetic drift and natural selection

Natural Selection

Genetic Drift Random changes in gene frequency in a population – this can lead to losses in genetic diversity – the population becomes more homozygous this is most important in small populations

Genetic Drift Generation 1 p (frequency of C R ) = 0.7 q (frequency of C W ) = 0.3 CRCRCRCR CRCRCRCR CRCWCRCW CWCWCWCW CRCRCRCR CRCWCRCW CRCRCRCR CRCWCRCW CRCRCRCR CRCWCRCW

Genetic Drift 5 plants leave off- spring Generation 1 p (frequency of C R ) = 0.7 q (frequency of C W ) = 0.3 CRCRCRCR CRCRCRCR CRCWCRCW CWCWCWCW CRCRCRCR CRCWCRCW CRCRCRCR CRCWCRCW CRCRCRCR CRCWCRCW CRCRCRCR CWCWCWCW CRCWCRCW CRCRCRCR CWCWCWCW CRCWCRCW CWCWCWCW CRCRCRCR CRCWCRCW CRCWCRCW Generation 2 p = 0.5 q = 0.5

Genetic Drift 5 plants leave off- spring Generation 1 p (frequency of C R ) = 0.7 q (frequency of C W ) = 0.3 CRCRCRCR CRCRCRCR CRCWCRCW CWCWCWCW CRCRCRCR CRCWCRCW CRCRCRCR CRCWCRCW CRCRCRCR CRCWCRCW CRCRCRCR CWCWCWCW CRCWCRCW CRCRCRCR CWCWCWCW CRCWCRCW CWCWCWCW CRCRCRCR CRCWCRCW CRCWCRCW Generation 2 p = 0.5 q = plants leave off- spring CRCRCRCR CRCRCRCR CRCRCRCR CRCRCRCR CRCRCRCR CRCRCRCR CRCRCRCR CRCRCRCR CRCRCRCR CRCRCRCR Generation 3 p = 1.0 q = 0.0

Population Bottleneck

Original population

Original population Bottlenecking event

Original population Bottlenecking event Surviving population

Northern Elephant Seal

Northern Elephant Seal Population

Pre-bottleneck (Illinois, 1820) Post-bottleneck (Illinois, 1993) Greater prairie chicken Range of greater prairie chicken (a) Location Population size Number of alleles per locus Percentage of eggs hatched 93 < ,000–25,000 <50 750,000 75,000– 200,000 Nebraska, 1998 (no bottleneck) (b) Kansas, 1998 (no bottleneck) Illinois 1930–1960s 1993

Pre-bottleneck (Illinois, 1820) Post-bottleneck (Illinois, 1993) Greater prairie chicken Range of greater prairie chicken (a)

Location Population size Number of alleles per locus Percentage of eggs hatched 93 < ,000–25,000 <50 750,000 75,000– 200,000 Nebraska, 1998 (no bottleneck) (b) Kansas, 1998 (no bottleneck) Illinois 1930–1960s 1993

Founder effect – founder population and three possible new populations

Mal de Meleda – founder effect

Serial Founder Effect Serial founder effects have occurred when populations migrate over long distances. Such long distance migrations typically involve relatively rapid movements followed by periods of settlement. The populations in each migration carry only a subset of the genetic diversity carried from previous migrations. As a result, genetic differentiation tends to increase with geographic distance.

Movement of mitochondrial genes out of Africa

‘Wisteria vine’ model of human genetic diversity

Gene Flow Gene flow is the movement of alleles in and out of a population Gene flow occurs because gametes or fertile individuals move from one population to another and take their genes with them

Gene flow

Gene Flow in Conifers

Population in which the surviving females eventually bred Central Eastern Survival rate (%) Females born in central population Females born in eastern population Parus major Central population NORTH SEA Eastern population Vlieland, the Netherlands 2 km

Non-Random Mating Hardy-Weinberg assumes random mating – if mating is not random then the population may change in the short term – the most common form of non-random mating is in-breeding – the mating of closely related individuals In fact inbreeding is very common – many mammals probably mate with first or second cousins in the wild; many plants self-pollinate – the ultimate form of inbreeding Inbreeding tends to produce homozygous populations

Inbreeding and White Squirrels

Mutations Mutations are the ultimate source of new genetic variations – a new mutation that is transmitted in gametes immediately changes the gene pool of a population by inserting a new allele into the gene pool