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Quantitative Genetics of Natural Variation: some questions Do most adaptations involve the fixation of major genes? micromutationist view: adaptations arise by allelic substitution of slight effect at many (innumerable) loci, and no single substitution constitutes a major portion of an adaptation (Darwin, Fisher) macromutationist views: 1. single “systemic” mutations produce complex adaptations in essentially perfect form (Goldschmidt) 2. adaptation often involves one or a few alleles having large effects • Of 8 studies, only 3 consistent with changes involving > 5 loci (Orr and Coyne 1992) Quantitative Genetics of Natural Variation: some questions • How many loci contribute to naturally occurring phenotypic variation, and what are the magnitudes of their effects? • What sorts of genes —and changes in these genes—are responsible for trait variation within populations (e.g., transcription factors, structural genes, metabolic genes) • Do the same genes that contribute to variation within species also contribute to variation between species? • What genes underlie evolutionary novelties? • What are the genetic bases for evolutionary novelties? • How do pleiotropic effects of genes evolve? Answers require a mechanistic approach towards identifying the relevant loci and how genetic differences are translated into phenotypic differences Quantitative traits depend on multiple underlying loci one locus + environment one locus four loci + environment two loci + environment many loci + environment Phenotypic Value and Population Means P=G+E Phenotypic value = Genotypic value + Environmental Deviation genotype genotypic value A2A2 –a Genotype A1A1 A1A2 A2A2 0 Freq p2 2pq q2 Value +a d -a A1A2 A1A1 d +a Freq x Val p2a 2pqd -q2a Sum = Pop Mean = a(p-q) + 2dpq Timing of Metamorphosis The majority of organisms on planet earth have complex life cycles Predictable Larval Habitat Hatching Metamorphosis Predictable Ephemeral Pond Time Thyroid Hormone Receptors as Candidate Genes for Variation in Metamorphic Timing Hypothalamus TRH Pituitary TSH Thyroid TH An extreme difference in metamorphic timing Target cells T4 deiodionation T3 TRs transcription Thyroid Hormone Receptors : A Hypothetical Example Thyroid Hormone Receptor Alpha Genotype Timing of Metamorphosis (Days) A1A1 A1A2 A2A2 200 160 150 d -15 a -25 25 0 Homozygote Midpoint (175) -a Genotype A1A1 A1A2 A2A2 Freq p2 2pq q2 Value 25 -15 -25 Freq x Val p2(25) 2pq(-15) -q2(25) Sum = Pop Mean = 25(p-q) + 2(-15)pq (adds time) (reduces time) p = f(A1) q = f(A2) A1A1 A1A2 A2A2 0.0 1.0 0 0 -25 0.3 0.7 2.25 -6.3 -12.25 -16.3 (158.7) 0.5 0.5 6.25 -7.5 -6.25 -7.5 (167.5) 0.7 0.3 12.25 -6.3 -2.25 3.7 (178.7) 1.0 0.0 25 0 0 Mean -25 (150) 25 (200) Let’s Consider a Second Locus Thyroid Hormone Receptor Alpha Genotype Timing of Metamorphosis (Days) A1A1 200 0 A1A2 A2A2 160 150 Thyroid Hormone Receptor Beta Genotype Timing of Metamorphosis (Days) A1A1 A1A2 A2A2 200 a 0 140 -a -30 30 Homozygote Midpoint (170) Genotype A1A1 A1A2 A2A2 Freq p2 2pq q2 Value 30 0 -30 Freq x Val p2(30) 2pq(0) -q2(30) Sum = Pop Mean = 30(p-q) + 2(0)pq (adds time) (reduces time) P = f(A1) Q = f(A2) A1A1 A1A2 A2A2 0.0 1.0 0 0 -30 -30 (140) 0.3 0.7 2.7 0 -14.7 -12 (158) 0.5 0.5 0 0 0 0.7 0.3 14.7 0 -2.7 12 (182) 1.0 0.0 30 0 0 30 (200) Mean 0 (170) Consider the joint effect of both TH Loci Total Range = 2Sa=110 Tha A1A1 Thb A1A1 Timing of Metamorphosis (Days) Tha A2A2 Thb A2A2 227.5 a 0 55 55 Average Homozygote Midpoint (172.5) Overall Mean = S a(p-q) + S 2dpq 117.5 -a Genotypic value is not transferred from parent to offspring; genes are. Need a value that reflects the genes that an individual carries and passes on to it’s offspring Breeding Value Empirically: An individual’s value based on the mean deviation of its progeny from the population mean. Theoretically: An individual’s value based on the sum of the average effects of the alleles/genes it carries. Average Effect of an Allele Type of gamete Values and Freq of gametes A1A1 A1 A1A2 A2A2 a d -a p q A2 p Mean value of genotypes pa + qd q -qa + pd Population mean -a(p-q) + 2dpq Average effect of gene q[a+d(q-p)] -a(p-q) + 2dpq -p[a+d(q-p)] average effect of An: an = mean deviation from the population mean of individuals that received An from one parent, if the other parent’s allele chosen randomly a1 = pa + qd - [ a (p – q) + 2dpq ] . population mean f (A1) f (A2) a1 = q [ a + d (q – p)] a2 = –p [ a + d (q – p)] Average Effects Frequency q (A2 orTHa2) 0.0 0.3 0.5 0.7 1.0 a: THa1 0 9.3 12.5 13.3 10 a2: THa2 -40 -21.7 -12.5 -5.7 0 d = -15; a = 25 Theoretically: An individual’s value based on the sum of the average effects of the alleles/genes it carries. Genotype Breeding Value A1A1 2a1 A1A2 a1 + a2 A2A2 2a2 Breeding Values - THa example A2 or Tha2 Pop Mean A1A1 A1A2 A2A2 q = 1.0 150 20 10 0 q = 0.7 158.7 26.6 7.6 -11.4 q = 0.5 167.5 25 0 -25 q = 0.3 178.7 18.6 -12.4 q = 0.0 200 0 -40 -43.4 -80 Sum of average effects across loci A1A1 A1A2 A2A2 2a1 a1 + a2 2a2 = + Breeding Value (A) B1B1 B1B2 B2B2 2a1 a1 + a2 2a2 (breeding values) (breeding values) G=A+D Genotypic Value = Additive effects of genes + Dominance deviation End Here: Continue Next Monday Partitioning the phenotypic value genotypic value of individual G=A+D two-locus: breeding value breeding value dominance deviation G = G1 + G2 + I12 interaction P = A1 + D1 + A2 + D2 + I12 genotypic value P=G Pop Mean genotypic value d=3/4a, q = 1/4 deviations from population mean phenotypic value of individual Environmental effects on phenotypes One locus, two alleles P=A+D One locus, two alleles + environmental variation P=A+D+E environmental deviation Amount of genetic variation in a population depends on # of genotypes, genotypic value, and gene frequencies. More variation 0.75 Less variation 0.75 p = 0.5 p = 0.9 0.50 0.50 0.25 0.25 9 A1A1 10 A1A2 Mean 11 A2A2 9 10 11 A1A1 A1A2 A2A2 Mean Components of phenotypic variation a = d = 0.07 P=A+D+I+E V Variance partitioning: VP = VG + VE . VP = VA + VD + VI + VE total phenotypic variance additive genetic variance dominance genetic variance interaction (epistatic) genetic variance f (A1) environmental variance • Phenotypic variation can be decomposed into additive genetic and other variation • Relative contributions of different sources depend on allele frequencies