Strategy 1 Go for the Max in good years (N=5) Strategy 2 Make fewer larger babies, to increase survival in bad years Mean number of surviving offspring Arith. Geometric mean good yr bad yr good yr bad yr mean 5 2 5 2 3.50 3.16 Strategy 1 4 3 4 3 3.50 3.46
POPULATION GENETICS SIMULATIONS By F. Frey and C. Lively, Indiana University How to get the program Go to http:/evolution.gs.washington.edu/popgen/popg.html (This is correct for 2008. Use a browser other than Safari). Download the appropriate version of t
Local Mate Competition (LMC). Here we are interested in the question: how does the number of mates affect the proportion of resources that should be allocated by a hermaphrodite to male and females function in order to maximize individual fitness?
Lecture 22 L567
L567. The ecology of speciation Speciation. The mystery of mysteries. Questions 1. Can we explain speciation with microevolutionary forces (mutation, selection, drift), or must we appeal to "macroevolutionary forces" like species selection
Lecture 16 L567
L567. For next time read Zeh&Zeh on website. Sexual Selection II Darwin laid out two kinds of sexual selection (i.e., variation among individuals in mating success). 1. Intrasexual selection due to malemale combat (We won't cover this) And
L567. Lecture 13.
Last time. Evolutionary stability of sexual reproduction (i.e., when is a sexual population stable to invasion and replacement by an asexual clone?) A. the cost of producing males (the "cost of sex" Maynard Smith 1978) Aside 1: effect of
L567. Lecture 12.
Evolutionary stability of sex and recombination. 1. Motivation. Sex and recombination are anomalies for theory, and, from a pedagological point of view, these anomalies "capture" many of the ideas we have been studying (e.g.: mutation se
L567 lecture 6
Evolutionary Game Theory But first, a Quiz. 1. What is the heritability for two legs in our class? 2. What do you think would be the general effect of strong selection on additive genetic variance? 3. Will natural selection always increase
Lecture 5. L567: Additive genetic variance
R = 2
= , 2 =
= , ), = , )
= , =
Note the difference between S, the selection differential, and
wi zi the selection gradient.
Clearly the response to sel
L567 lecture 3
L567 lecture 3: Mutation-selection balance. The breeder's equation Population Genetics revisited. Last week we derived
( 11 + 12 )
Now, we want to solve for the change in p, delta p (note: we drop the
subscripts for pt to give just
L567 Lecture 2
L567 Lecture 2. A brief history of population genetics (from Provine's book), and basic theoretical population genetics. Intuitive understanding of e = mc2, or R = h2S? Intuitive understanding of R = h2S requires unpacking h2, which require
Trait selection in flowering plants: how does sexual selection contribute?
Lynda F. Delph1,* and Tia-Lynn Ashmany
*Department of Biology, 1001 East Third Street, Indiana University, Bloomington, IN 47405 USA; yDepartment of Biological Sciences, Univer
This file shows the mean payoff as a function of the frequency of hawks. the red square shows the equilibrium freq of hawks. Note that if we start with a population of all doves (q=0), selection will drive mean fitness down V 1 Cost 1.5 qhat 0.667 p 1 0.9
the Board promulgates a policy which it thinks is in the best interests of the country, should approval be obtained from the Executive Branch before such a policy is announced? Some Board members object to the constraints of this sort of administrative di
ai =. ares =. astar =. R =. Wi =. Cd =. Noffspring =.
Variables are defined as in class, except that Noffspring is the number of offspring produced by each females. As you will see, this is a constant, and drops out of the solution. This is Fisher's sex a
q p a d
0.4 0.6 2 1
alpha(b) 1.08 alpha(B) 0.72
equal to: q*(a) +p*d mean phen equal to p*(a) + q*d mean phen weighted squared dev 0.452 0.007 1.327
To run the program, change the values for p, a, and d.
freqNum B pheno freq phen*freq BBp^2 2 2 0.360 0.72
Here we are interested in there trade-off between the size and number of offspring. We want to know the size of offspring that maximizes individual fitness.
DEFINING THE VARIABLES. q = fraction of resouces allocated to each offspring. qmin = the fraction