Quantitative characters III: response to selection in nature

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Quantitative characters III: response to selection in nature Selection occurs whenever there is a nonrandom relationship between phenotypes (performances) and fitnesses. But evolution occurs only when there is heritable (additive) variation for the phenotypes. The rate of evolutionary change depends on the strength of selection and the amount of additive genetic variation. For directional selection, there are two equivalent ways to represent this relationship: R = h 2 S (response = heritability x selection differential) x = V A β (change = additive variance x selection gradient) Biol 3410, 23 February 2009 Some quantitative traits have been observed to evolve very rapidly. For example: beak and body sizes of Geospiza fortis on Isla Daphne Major Beak size and body size increase dramatically in response to the drought of 1977, but both then decrease slowly. Adaptation to a tradeoff: Larger beaks and bodies are favored when most seeds are large and hard; smaller beaks and bodies are favored when most seeds are small and soft. 1

S and β quantify the strength of selection S (the selection differential) is the difference between the mean phenotype of the reproductively successful parents and the whole population (of potential parents). Β (the selection gradient) is the slope of the regression describing the relationship between fitness (y) and values of the phenotype (x), when mean fitness is normalized to 1. This geometric interpretation of heritability shows why R = h 2 S (h 2 = R/S) Selected parents and their offspring Unselected parents and their offspring R = response to selection S = selection differential And h 2 = V A /V P, so R = (V A /V P )S. So you see, the evolutionary response to selection is proportional to the additive genetic variance! Squeak! 2

The selection gradient is more general It accommodates messy, continuous relationships between phenotypes and fitnesses. And it allows us to predict what will happen when two or more quantitative traits are correlated with each other owing to genetic or developmental constraints. An application: bumblebees select on flower size in alpine skypilots Candace Galen noticed that alpine skypilots (Polemonium viscosum) growing at high (tundra) elevations on Pennsylvania Mountain in the Colorado Rockies have flowers that are 12% larger than those growing at lower (timberline) elevations. At timberline, skypilots are pollinated by a variety of insects including flies, small solitary bees, and bumblebees. But higher in the tundra, the only pollinators are bumblebees. Plants with larger flowers attract more bumblebees, and flowers that attract more bees set more seeds. Did the tundra populations evolve larger flowers because bumblebees (their only pollinators) prefer large flowers? Galen first estimated the heritability of flower size ( corolla flare ). Then she caged a large number of plants with bumblebees, allowed them to set seeds, germinated the seeds, and then planted the seedlings at random locations in their natural habitat. Six years later she counted the survivors. 3

The heritability of corolla flare was h 2 = 0.5. V A = h 2 V P = 0.5*5.66 = 2.83 The selection gradient was β = 0.13 (average relative fitness increased 13% per millimeter of corolla flare). Predicted response: x = V A β = 2.83*0.13 = 0.37 mm/generation This is 2.6% per generation. Thus a 12% increase could evolve in just 5 generations! Three modes of selection on a quantitative trait: before and after 4

Stabilizing selection on a gall-making fly Females insert eggs into goldenrod stems, larvae make a protective gall. Smaller galls are more vulnerable to attack by a parasitoid wasp. Larger galls are more attractive to birds that break them open and eat the larvae. Intermediate-sized galls are fittest, and they are also most common. Not too large, not too small, but just right! Disruptive selection in the black-bellied seedcracker Members of this African finch species have small or large beaks, but very few have beaks of intermediate size. Birds of each beak type specialize on different kinds of seeds. Juveniles are more variable (and less dimorphic) than adults. Thomas Bates Smith followed more than 2000 young birds and found that those with intermediate beaks died at much higher rates than those with distinctively small or large beaks. 5

The relationships among genotypes often differ among environments Clausen, Keck & Heisey grew the same genotypes of Achillea at different elevations in California. Plant height was highly variable and heritable in each environment, and all genotypes were shorter at high elevation (Mather). However, some plants that were relatively tall in one environment were relatively short in the other. Thus the genetic variance depends on the population s environment! And the environmental variance depends on the population s genes! This situation-dependence of the variance components is called genotype by environment (G x E) interaction. Plants from low and high elevations respond oppositely to change! Grown at low altitude 30.9 7.2 Grown at high altitude 19.9 28.3 6

Genetic variation can be created and destroyed by the environment! The norm of reaction is a graph describing how a given genotype responds to different states of the environment. A Two hypothetical genotypes that produce different phenotypes at different temperatures, but always with the same difference between them. No GxE interaction. B Real norms of reaction for bristle number in 10 Drosophila genotypes raised at different temperatures. Much GxE. C Distributions of bristle number expected for a population containing two of these genotypes, when raised at low to middling temperatures. Considerable additive genetic variation and high heritability of bristle number. D The same population raised at a higher average temperature, where the norms of reaction cross. No additive genetic variation and no heritability! A B From DJ Futuyma, Evolutionary Biology, 3 rd edition (Sinauer, 1998) C D Upshot: the heritability of a trait can be defined only for a given population (gene pool) in a given environment. In C, K & H s experiment with Achillea, height was highly heritable within each environment. But height in each environment was a poor predictor of height in the others, in two ways: (1) Relative heights differed between the environments, and (2) All genotypes grew taller at Stanford. Differences within populations were largely determined by genes, but with different outcomes in each environment. And the large average difference between populations was entirely non-genetic! 7

How fast do quantitative traits evolve (today) in nature? Hendry and Kinnison (1999) reviewed 54 rates of phenotypic evolution that had been estimated in 20 different studies of fish, birds, mammals, lizards and bugs. They converted all of the estimated rates of phenotypic change to units of phenotypic standard deviations per generation (called haldanes because J.B.S. Haldane appears to have been the first person to suggest this standardization). The median rate of evolution was 0.03 haldanes (3% of a s.d. per generation). At that rate the mean would move 3 standard deviations in only 100 generations! J.B.S. Haldane Number of estimates And there were some extremely fast rates, such as those for Darwin s finches (*). However, none of these were sustained for more than a few generations. *** * ** Rate of evolution, in haldanes (s/g) How fast do they evolve over evolutionary time? A different scale of measurement is used in most paleontological studies. Darwins = proportional trait-value change in units of e per million years [log(x 1 ) log(x 2 )]/Tmyr Kinnison & Hendry (2001) reviewed current microevolutionary rates for over 2000 traits from 47 studies of 30 species. The median rate, in darwins, was 1150 (3-4 orders of magnitude greater than long-term rates of evolution as seen in the fossil record). In haldanes, the median rate was 0.005 (somewhat smaller than in their 1999 review). Still, the upshot is that quantitative traits evolve remarkably rapidly (in the short term), but the direction of evolution reverses course so often that little change occurs (on average) over the long term. 8