1. What is Population Genetics?  About microevolution (evolution within species)  The study of the change of allele frequencies, genotype frequencies, and phenotype frequencies

2. Factors causing genotype frequency changes or evolutionary principles Selection = variation in fitness; heritable Mutation = change in DNA of genes Migration = movement of genes across populations –Vectors = Pollen, Spores Recombination = exchange of gene segments Non-random Mating = mating between neighbors rather than by chance Random Genetic Drift = if populations are small enough, by chance, sampling will result in a different allele frequency from one generation to the next.

4. Pathogen Population Genetics must constantly adapt to changing environmental conditions to survive –High genetic diversity = easily adapted –Low genetic diversity = difficult to adapt to changing environmental conditions – important for determining evolutionary potential of a pathogen If we are to control a disease, must target a population rather than individual Exhibit a diverse array of reproductive strategies that impact population biology

5. Molecular Markers DNA & PROTEINS –mtDNA = often used in systematics; in general, no recombination = uniparental inheritance –cpDNA = often used in systematics; in general, no recombination = uniparental inheritance –Microsatellites = tandem repeats; genotyping & population structure –Allozymes = variations of proteins; population structure –RAPDs = short segments of arbitrary sequences; genotyping –RFLPs = variants in DNA exposed by cutting with restriction enzymes; genotyping, population structure –AFLPs = after digest with restriction enzymes, a subset of DNA fragments are selected for PCR amplification; genotyping

6. Analytical Techniques –Hardy-Weinberg Equilibrium p 2 + 2pq + q 2 = 1 Departures from non-random mating –F-Statistics measures of genetic differentiation in populations –Genetic Distances – degree of similarity between OTUs Nei’s Reynolds Jaccards Cavalli-Sforza –Tree Algorithms – visualization of similarity UPGMA Neighbor Joining

7. Levels of Analyses  Individual identifying parents & offspring– very important in zoological circles – identify patterns of mating between individuals (polyandry, etc.)  In fungi, it is important to identify the "individual" -- determining clonal individuals from unique individuals that resulted from a single mating event.

8. Armillaria gallica “Humongous Fungus” rhizomorphs

10. Levels of Analyses cont… Families – looking at relatedness within colonies (ants, bees, etc.) Population – level of variation within a population. –Dispersal = indirectly estimate by calculating migration –Conservation & Management = looking for founder effects (little allelic variation), bottlenecks (reduction in population size leads to little allelic variation) Species – variation among species = what are the relationship between species. Family, Order, ETC. = higher level phylogenies

11. Founder Effects Establishment of a population by a few individuals can profoundly affect genetic variation –Consequences of Founder effects Fewer alleles Fixed alleles Modified allele frequencies compared to source pop –Perhaps due to “new environment”

14. Potato Blight Phytophthora infestans great Irish famine of 1845-1849 –1,000,000 died Origin of P. infestans –Mexico = highest genetic diversity; likely origin –Ireland = decreased genetic diversity due to founder effect –Decreased genetic differentiation in other regions Europe, North America

15. Hardy Weinberg Equilibrium and F-Stats In general, requires co-dominant marker system Codominant = expression of heterozygote phenotypes that differ from either homozygote phenotype. AA, Aa, aa

16. Codominant Molecular Tools –Allozymes = different versions of proteins. One of the major first tools for analyzing population structure Advantages: Inexpensive Easily Obtained Disadvantages: Coding regions = violate assumptions of analytical techniques Invariable in many fungi = inadequate for looking at variation –Microsatellites = repetitive sequences in the DNA (e.g. AC) 12 Very popular for analyzing population structure Forensic applications Advantages: Hypervariable Genotyping Population Structure Disadvantages: High cost of Development

19. Dominant Marker

20. Allele Frequencies Allele frequencies (gene frequencies) = proportion of all alleles in an all individuals in the group in question which are a particular type Allele frequencies:  p + q = 1 Expected genotype frequencies:  p 2 + 2pq + q 2

21. Hardy-Weinberg Equilibrium Null Model = population is in HW Equilibrium –Useful –Often predicts genotype frequencies well

22. if only random mating occurs, then allele frequencies remain unchanged over time. After one generation of random-mating, genotype frequencies are given by AAAaaa p 2 2pqq 2 p = freq (A) q = freq (a) Hardy-Weinberg Theorem

23. The possible range for an allele frequency or genotype frequency therefore lies between ( 0 – 1) with 0 meaning complete absence of that allele or genotype from the population (no individual in the population carries that allele or genotype) 1 means complete fixation of the allele or genotype (fixation means that every individual in the population is homozygous for the allele -- i.e., has the same genotype at that locus). Expected Genotype Frequencies

24. 1) diploid organism 2) sexual reproduction 3) generations are non-overlapping 4) mating occurs at random 5) large population size 6) migration = 0 7) mutation = 0 8) no selection on genes ASSUMPTIONS

25. Locus Sample123 13,42,21,1 24,42,21,2 34,41,2 44,42,21,1 54,41,21,1 61,41,21,1 72,42,21,1 84,42,21,1 92,41,21,1 101,42,32,2 112,42,2 122,32,2 134,41,21,1 141,42,31,2 154,41,2 161,41,1

26. Locus 1 Allele 1 = 4/32 = 0.125 Allele 2 = 4/32 = 0.125 Allele 3 = 2/32 = 0.0625 Allele 4 = 22/32 = 0.6875 Allele frequencies = 0.125 + 0.125 + 0.00625 + 0.6875 = 1 Locus 2 Allele 1 = 8/32 = 0.2500 Allele 2 = 22/32 = 0.6875 Allele 3 = 2/32 = 0.0625 Locus 3 Allele 1 = 10/32 = 0.3125 Allele 2 = 22/32 = 0.6875

27. EXPOBS(OBS-EXP) 2 /EXP LOCUS 11,1(0.1250) 2 0.01560.00000.0156 1,2(0.125*0.125)*20.03130.00000.0313 1,3(0.125*0.0625)*20.01570.00000.0157 1,4(0.125*0.6875)*20.17180.25000.0356 2,2(0.125) 2 0.01560.00000.0156 2,3(0.125*0.0625)*20.01560.06250.1410 2,4(0.125*0.6875)*20.17190.18750.0014 3,3(0.0625) 2 0.00390.00000.0039 3,4(0.0625*0.6875)*20.08590.06250.0064 4,4(0.6875) 2 0.47270.43750.0026

28. EXPOBS(OBS-EXP) 2 /EXP LOCUS 21,1(0.2500) 2 0.0625 0.0000 1,2(0.2500*0.6875)*20.34380.37500.0028 1,3(0.2500*0.0625)*20.03130.00000.0313 2,2(0.6875) 2 0.47270.43750.0026 2,3(0.6875*0.0625)*20.08590.12500.0178 3,3(0.0625) 2 0.00380.00000.0038 LOCUS 31,1(0.3125) 2 0.09770.56252.2112 1,2(0.3125*0.6875)*20.42970.25000.0752 2,2(0.6875) 2 0.47260.18750.1720 CHI-SQUARED TEST = 2.7858 P0.999984

29. If the only force acting on the population is random mating, allele frequencies remain unchanged and genotypic frequencies are constant. Mendelian genetics implies that genetic variability can persist indefinitely, unless other evolutionary forces act to remove it IMPORTANCE OF HW THEOREM

30. Departures from HW Equilibrium Check Gene Diversity = Heterozygosity –If high gene diversity = different genetic sources due to high levels of migration Inbreeding - mating system “leaky” or breaks down allowing mating between siblings Asexual reproduction = check for clones –Risk of over emphasizing particular individuals Restricted dispersal = local differentiation leads to non-random mating

31. F Stats F IS = (H S – H I )/(H E ) F ST = (H T – H S )/(H T ) F IT = (H T – H I )/(H T )

32. Pop1Pop2Pop3 Sample size 20 AA1050 Aa4108 aa6512

33. Pop1Pop2Pop3 Freq p(20 + 1/2*8)/40 = 0.60 (10+1/2*20)/40 =.50 (0+1/2*16)/40 = 0.20 q(12 + 1/2*8)/40 = 0.40 (10+1/2*20)/40 =.50 (24+1/2*16)/40 = 0.80

34. Calculate H OBS – Pop1: 4/20 = 0.20 – Pop2: 10/20 = 0.50 – Pop3: 8/20 = 0.40 Calculate H EXP (2pq) – Pop1: 2*0.60*0.40 = 0.48 – Pop2: 2*0.50*0.50 = 0.50 – Pop3: 2*0.20*0.80 = 0.32 Calculate F = (H EXP – H OBS ) / H EXP Pop1 = (0.48 – 0.20)/(0.48) = 0.583 Pop2 = (0.50 – 0.50)/(0.50) = 0.000 Pop3 = (0.32 – 0.40)/(0.32) = -0.250 Local Inbreeding Coefficient

35. PopHsHs HIHI pqHTHT F IS F ST F IT 10.480.200.600.40 20.50 30.320.400.200.80 Mean0.430.370.430.570.49-0.140.120.24

36. Number of Migrants F ST = (1/(4 N em + 1)) –N e = effective number of migrants –N em < N m

37. Forest Diseases Chestnut blight = Cryphonectria parasitica –Native to Japan & China Blight on chestnut (Castanea spp.) –Castanea dentata extremely susceptible Introduced in NA in early 1900’s (not deliberate) from Japan Second introduction = deliberate introduction of the fungus from China – is this the same sp.?

38. Cryphonectria parasitica Using genetic similarities –Identified probable source population for US introduction as Japan rather than China –China & Japan are not closely related Longer history of independent evolution –Two clonal populations = no sexual reproduction Likely founded by clones –Deviations from HW equilibrium Unrelated genotypes in populations suggests restricted migration Genetic drift main force in evolution