Download Free Medical Population Genetics PowerPoint Presentation

Population Genetics PowerPoint Presentation

DOWNLOAD MEDICAL POWERPOINT PRESENTATION

About This Presentation

Description : Check out this medical titled "POPULATION GENETICS”.

This medical is about population genetics, the study of genetic variation and evolutionary processes within and among populations of organisms. It combines the principles of genetics and evolutionary biology to understand how the frequency and distribution of genetic variation within and among populations change over time.

Population genetics explores questions related to genetic diversity, mutation, migration, genetic drift, natural selection, and gene flow, among others. It seeks to explain how these factors affect the genetic composition of populations and how they contribute to the evolution of species.

Some of the key concepts in population genetics include Hardy-Weinberg equilibrium, which describes the conditions under which the frequencies of alleles and genotypes in a population will remain constant over time; genetic linkage, which refers to the tendency of certain genes to be inherited together because of their physical proximity on a chromosome; and genetic markers, which are variations in DNA sequences that can be used to track the inheritance of specific traits or diseases in families or populations.

Population genetics has applications in many fields, including medicine, agriculture, and conservation biology. It can be used to understand the genetic basis of diseases, to develop breeding strategies for crops and livestock, and to manage and conserve endangered species.

Tags : population genetics, genetic variation, evolutionary processes, Medical Genetics, Medical Genetics

Published on : Jun 01, 2023 | Views : 1075 | Downloads : 0

Shareable Url :

Embed Code :

Comment

Transcript

Slide 1-

POPULATION GENETICS: The study of the rules governing the maintenance and transmission of genetic variation in natural populations.
Slide 2-

DARWINIAN EVOLUTION BY NATURAL SELECTION Many more individuals are born than survive (COMPETITION). Individuals within species are variable (VARIATION). Some of these variations are passed on to offspring (HERITABILITY). Survival and reproduction are not random. There must be a correlation between fitness and phenotype.
Slide 3-

Gregor Mendel The “rediscovery” of Mendel’s genetic studies in 1902 by William Bateson completed the missing model for the inheritance of genetic factors. Mendel published his work in the Transactions of the Brunn Society of Natural History in 1866.
Slide 4-

Mendel’s Laws: Segregation Independent assortment
Slide 5-

SEXUAL REPRODUCTION CONTRIBUTES TO VARIATION Example – A Line Cross Experiment Consider 2 diploid individuals with 3 loci and 2 alleles, Parents: aabbcc x AABBCC F1 progeny: AaBbCc F2 progeny: AABBCC AABBCc AABBcc AABbCC AABbCc AABbcc AAbbCC AAbbCc AAbbcc AaBBCC AaBBCc AaBBcc AaBbCC AaBbCc AaBbcc AabbCC AabbCc Aabbcc aaBBCC aaBBCc aaBBcc aaBbCC aaBbCc aaBbcc aabbCC aabbCc aabbcc 27 COMBINIATIONS
Slide 6-

Mechanisms of Evolution: Mendelian Genetics in Populations Genetic variation is the raw material of evolutionary change: how do we measure it? What are the forces that cause genetic changes within populations? That is, what mechanisms cause evolutionary change?
Slide 7-

Population Genetics Evolution can be defined as a change in gene frequencies through time. Population genetics tracks the fate, across generations, of Mendelian genes in populations. Population genetics is concerned with whether a particular allele or genotype will become more or less common over time, and WHY.
Slide 8-

A few things to keep in mind as we take an excursion into population genetic theory: “Make things as simple as possible, but no simpler.” ---Einstein “All models are wrong, some are useful.” ---Box “No theory should fit all the facts because some of the facts are wrong.” ---Bohr “Before I came here I was confused about this subject. Having listened to your lecture I am still confused. But on a higher level.” ---Fermi
Slide 9-

Assumptions: 1) Diploid, autosomal locus with 2 alleles: A and a 2) Simple life cycle: PARENTS GAMETES ZYGOTES (DIPLIOD) (HAPLOID) (DIPLOID) These parents produce a large gamete pool (Gene Pool) containing alleles A and a. a A A a a A A a A a a a A A a a A a A A a a A A a a a a A a a A A A a A
Slide 10-

Gamete (allele) Frequencies: Freq(A) = p Freq(a) = q p + q = 1 Genotype Frequencies of 3 Possible Zygotes: AA Aa aa Freq (AA) = pA x pA = pA2 Freq (Aa) = (pA x qa) + (qa x pA) = 2pAqa Freq (aa) = qa x qa = qa2 p2 + 2pq + q2 = 1
Slide 11-

General Rule for Estimating Allele Frequencies from Genotype Frequencies: Genotypes: AA Aa aa Frequency: p2 2pq q2 Frequency of the A allele: p = p2 + ½ (2pq) Frequency of the a allele: q = q2 + ½ (2pq)
Slide 12-

Sample Calculation: Allele Frequencies Assume N = 200 indiv. in each of two populations 1 & 2 Pop 1 : 90 AA 40 Aa 70 aa Pop 2 : 45 AA 130 Aa 25 aa In Pop 1 : p = p2 + ½ (2pq) = 90/200 + ½ (40/200) = 0.45 + 0.10 = 0.55 q = q2 + ½ (2pq) = 70/200 + ½ (40/200) = 0.35 + 0.10 = 0.45 In Pop 2 : p = p2 + ½ (2pq) = 45/200 + ½ (130/200) = 0.225 + 0.325 = 0.55 q = q2 + ½ (2pq) = 25/200 + ½ (130/200) = 0.125 + 0.325 = 0.45
Slide 13-

Main Points: p + q = 1 (more generally, the sum of the allele frequencies equals one) p2 + 2pq +q2 = 1 (more generally, the sum of the genotype frequencies equals one) Two populations with markedly different genotype frequencies can have the same allele frequencies
Slide 14-

The Hardy-Castle-Weinberg Law A single generation of random mating establishes H-W equilibrium genotype frequencies, and neither these frequencies nor the gene frequencies will change in subsequent generations. Hardy
Slide 15-

H-W ASSUMPTIONS: Mating is random (with respect to the locus). The population is infinitely large. (no sampling error – Random Genetic Drift) Genes are not added from outside the population (no gene flow or migration). Genes do not change from one allelic state to another (no mutation). All individuals have equal probabilities of survival and reproduction (no selection).
Slide 16-

IMPLICATIONS OF THE H-W PRINCIPLE: A random mating population with no external forces acting on it will reach the equilibrium H-W frequencies in a single generation, and these frequencies remain constant there after. Any perturbation of the gene frequencies leads to a new equilibrium after random mating. The amount of heterozygosity is maximized when the gene frequencies are intermediate. 2pq has a maximum value of 0.5 when p = q = 0.5
Slide 17-

GENOTYPE VERSUS GENE FREQUENCIES
Slide 18-

FOUR PRIMARY USES OF THE H-W PRINCIPLE: Enables us to compute genotype frequencies from generation to generation, even with selection. Serves as a null model in tests for natural selection, nonrandom mating, etc., by comparing observed to expected genotype frequencies. Forensic analysis. Expected heterozygosity provides a useful means of summarizing the molecular genetic diversity in natural populations.
Slide 19-

Allele Frequencies: p1 = p11 + ½ p12 = 0.918 + ½ (0.079) = 0.958 p2 = 1 – p1 = 0.041 Genotype frequencies for Wing-color Polymorphism in a Natural Population of the Moth Panaxia dominula (Fisher & Ford, 1947)
Slide 20-

EVOLUTIONARY THOUGHT AFTER DARWIN By the 1870s, most scientists accepted the historical reality of evolution (and this has been true ever since). It would be at least 60 years after the publication of The Origin of Species before natural selection would come to be widely accepted. People wanted life itself to be purposeful and creative, and consequently did not find natural selection appealing. Neo-Lamarckism -- inheritance of acquired characteristics. Orthogenesis -- variation that arises is directed toward a goal. Mutationism -- discrete variations are all that matter.
Slide 21-

MUTATIONISM AND THE IMPACT OF MENDEL Gregor Mendel’s research was published in 1866, but was not noticed until 1900. NOTE: Darwin knew nothing about the mechanism of inheritance when he conceived of natural selection. MUTATIONIST THEORIES (based on Mendel’s work): Emphasized the importance of DISCRETE VARIATION T. H. Morgan -- the founder of Drosophila genetics. R. Goldschmidt -- theory of “hopeful monsters”. Mendelian genetics disproved Lamarckian and blending inheritance theories. However, the emphasis on discrete variation caused a rift between mutation and natural selection that was initially damaging to the field.
Slide 22-

THE MODERN SYNTHESIS OF EVOLUTIONARY BIOLOGY The rift between genetics and natural selection was resolved in the 1930s and 1940s. This synthesis was forged from the contributions of geneticists, systematists, and paleontologists.
Slide 23-

Sir R. A. Fisher 1890-1962 The Genetical Theory of Natural Selection 1930 Fisher united Mendelian population genetics with the inheritance of continuous traits. "The Correlation between Relatives on the Supposition of Mendelian Inheritance" Philosophical Transactions of the Royal Society of Edinburgh in 1918, (volume 52, pages 399–433).
Slide 24-

J. B. S. Haldane 1892-1964 The Causes of Evolution 1932 Developed the mathematical theory of gene frequency change under selection (and many other interesting applications).
Slide 25-

Sewall Wright On his 90th birthday 1889-1988 Developed the mathematical framework for understanding the genetic consequences of migration, effective population size, population subdivision, and conceived of the concept of adaptive landscapes.
Slide 26-

Outcomes of the “MODERN SYNTHESIS” Populations contain genetic variation that arises by random mutation. Populations evolve by changes in gene frequency. Gene frequencies change through random genetic drift, gene flow, and natural selection. Most adaptive variants have small effects on the phenotype so changes are typically gradual. Diversification comes about through speciation.
Slide 27-

Phenotypic Evolution: Process + +/ — — —
Slide 28-

MEASURING GENETIC VARIATION IN NATURAL POPULATIONS TWO COMMONLY USED MEASURES TO QUANTIFY GENETIC VARIATION ARE: P – the proportion of polymorphic loci (those that have 2 or more alleles) H – the average heterozygosity = proportion of loci at which a randomly chosen individual is heterozygous.
Slide 29-

Gel electrophoresis:
Slide 30-

AN ALLOZYME GEL
Slide 31-

SS FS FF SS FS FS FF FF FS SS Monomorphic locus: all individuals fixed for same allele Polymorphic locus: 2 alleles Frequency of F allele, p = 10 / 20 = 0.5 Frequency of S allele, q = 10 / 20 = 0.5 H = 4 /10 = 0.4 * * * *
Slide 32-

ALLOZYME VARIATION IN MAJOR TAXA In F. J. Ayala (ed.) 1976. Molecular Evolution. Sinauer Assoc.
Slide 33-

ALLOZYME VARIATION WITHIN MAJOR TAXA
Slide 34-

ALLOZYME VARIATION AMONG Drosophlia spp. In F. J. Ayala (ed.) 1976. Molecular Evolution. Sinauer Assoc.
Slide 35-

3 MICROSATELLITE LOCI, SHOWING HIGH LEVELS OF POLYMORPHISM WITHIN A POPULATION.
Slide 36-

SEQUENCE DATA The definitive source of information regarding genetic variation. Usually obtained by PCR and direct sequencing of a particular gene of interest. Sequence-level variation can also be assessed using restriction enzymes (RFLPs). More on sequences when we get to “molecular evolution”.
Slide 37-

THE EXTENSION OF H-W TO LOCI WITH MANY ALLELES Regardless of the number of alleles per locus, the H-W principle still applies as long as the organisms are diploid. Assume that you have a locus with n alleles (A1, A2, … , An), and the allele frequencies are given by p1, p2, p3, … , pn. The expected frequency of any homozygote is just the square of the allele frequency. F (A1A1) = p12, F (A6A6) = p62, etc. The expected frequency of any heterozygote is 2 times the product of the respective allele frequencies. F (A1A3) = 2p1p3, F (A3A5) = 2p3p5, etc. Expected heterozygosity is 1 – Σ(pi2).
Slide 38-

With the recognition… that the… genome is replete with DNA sequence polymorphisms such as RFLP’s, it was only a small leap to imagine that DNA could, in principle, provide the ultimate identifier. E. S. Lander, 1991 DNA analysis will be to the end of the 20th century what fingerprinting was to the 19th. Melson, 1990 DNA POLYMORPHISM AS A TOOL FOR FORENSICS???
Slide 39-

APPLICATIONS OF H-W TO FORENSICS Example: Defendant Genotype Tissue Sample From Crime Scene A14A27 A14A27 Question: What is the probability of this match being a false positive??? In other words what is the probability that this match occurred simply by chance?
Slide 40-

PROBABILITY OF A FALSE POSITIVE Frequency of A14 in population = p14 Frequency of A27 in population = p27 Expected fraction of random individuals in the population with the same genotype as the defendant = 2 p14 p27 PRODUCT RULE: With multiple loci, the probability of a false positive is simply equal to the product of the locus-specific probabilities. As this probability becomes small, we become more confident that the match is real.
Slide 41-

Highly repetitive blocks of DNA ( ) found through out the genome. DNA is cut with restriction enzymes ( ), labeled with 32P and run through a gel to reveal a characteristic banding pattern INDIVIDUAL A B C VNTR Loci:
Slide 42-

FROM: Balazs et al. 1989. Am. J. Hum. Genet. 44:182-190. Balazs et al. 1992. Genetics 131:191-198 Genetic diversity of VNTR Loci in Human Populations Average heterozygosity of 6 VNTR loci in ethnic groups: Caucasian 0.89 Chinese 0.84 Cambodian 0.80 Melanesian 0.76 Australian aborigine 0.77 American Blacks Caucasians Hispanics
Slide 43-

Some Definitions: Population: A freely interbreeding group of individuals. Gene Pool: The sum total of genetic information present in a population at any given point in time. Phenotype: A morphological, physiological, biochemical, or behavioral characteristic of an individual organism. Genotype: The genetic constitution of an individual organism. Locus: A site on a chromosome, or the gene that occupies the site. Gene: A nucleic acid sequence that encodes a product with a distinct function in the organism. Allele: A particular form of a gene. Gene (Allele) Frequency: The relative proportion of a particular allele at a single locus in a population (a number between 0 and 1). Genotype Frequency: The relative proportion of a particular genotype in a population (a number between 0 and 1).