More on the mechanisms of natural selection and genetic drift.

In lesson one, you were introduced to two major mechanisms of evolution or biological change over time. We will spend this week looking at how to study these mechanisms.

One of the classic studies on natural selection is that concerning a phenomena known as industrial melanism. This work is summarized in the Scientific America paper linked here.

You should after reading the paper be able to state Kettlewell's hypothesis. You should also be list the different ways he tested his hypothesis. Because of all the evidence supporting his hypothesis, this has remained the classic study of natural selection working to bring about change in a natural setting. . Please answer question one.

Two methods he used deserve special attention. The first is a method know as mark-recapture, that has become one of the main "experimental" approaches used in ecology. The second or correlative analysis is undoubtedly the most used method in ecological and evolutionary studies. You need to be familiar with its strengths and limitations.

1. Kettlewell's work was the first that used mark-recapture. Mark-recapture, first used to test the effectiveness of natural selection, is now of the most common “experimental” methods used in ecological research.   It is important that you understand this method.  

Follow the instructions below, filling out the table as you go along. .

Calculate the relative fitnesses for typical and melanistic moths in Dorset, England, if the number of moths released was 406 melanistic and 393 typical or non-melanistic moth. They recaptured 19 of the melanistic moth marked and 54 of the typical or non-melanistic.

It is considered an experimental approach because there are expected and observed categories just as in a laboratory experiment. The null hypothesis is that both groups should be in this case recaptured in the ratios released. This is because the null hypothesis is that no agent is working differently on the two groups.

So to get started, assume you released the moths in the following numbers, of 799 moths released, 406 were melanistic and 393 were non-melanistic.

Released ratios = 0.51 melanistic, 0.49 typical.

They recaptured 73 moths. So next determine what are the expected numbers, given the assumption that no forces were working differently on both groups. Fill out the rest of the table to get relative fitnesses. You should reject the null hypothesis. Would it surprise you that Dorset is considered a rural farm area?

 

  Melanistic 0.51 Non- melanistic 0.49
Expected (recaptures out of 73)
37

36

Observed 19 54
Observed over expected 19/37 or .51 54/36 or 1.5

Reduce fitness to one (divide all values by larger number)

 

0.33
1

Please answer question two.

2. Kettlewell also used correlation. Many studies in evolutionary medicine will rely on correlative as opposed to experimental evidence to test hypotheses. 

The experiment has long been accepted as a way to gather evidence for or against an hypothesis.   Yet often it is impossible to conduct the appropriate experiments to examine major evolutionary questions. Making more observations has always been a legitimate way of testing scientific hypotheses.

Example: Every time the sun sets in the west and rises in the east I am more convinced that it will continue to do so. (reason for the sun rising----http://www.universetoday.com/18117/why-does-the-sun-rise-in-the-east-and-set-in-the-west/)

Correlations are trends, collections of observations, measured by the tightness of fit between two variables.  Statistics is often used to determine how closely data points fit to a straight line drawn between them (linear regression).

3

Three relationships with the same slope, but different amounts of “scatter” around an imagined best fit line.

reg

Lately non-experimental science has been dubbed discovery science. This seems a humble name for methods that have given use major theories in biology such as "the cell theory" and "the grand synthesis or evolutionary theory".

In another classic example of the use of correlation, Dr. Snow, now recognized as the father of epidemiology, used observations and correlations to determine the cause of cholera.

An observation based on interviews and city medical records.

"The most terrible outbreak of cholera, which ever occurred in this kingdom, is probably that which took place in Broad Street, Golden Square, and the adjoining streets, a few weeks ago. Within two hundred and fifty yards of the spot where Cambridge Street joins Broad Street, there were upwards of five hundred fatal attacks of cholera in ten days. The mortality in this limited area probably equals any that was ever caused in this country, even by the plague: and it was much more sudden, as the greater number of cases terminated in a few hours.

The mortality would undoubtedly have been much greater had it not been for the flight of the population. Persons in furnished lodgings left first, then other lodgers went away, leaving their furniture to be sent for when they could meet with a place to put it in."

A correlative map put together by Snow.

map

 

Read the following passage from Snow's work.   Why did Snow feel it important to investigate individuals in the area of the outbreak that did not get cholera?

  There are certain circumstances bearing on the subject of this outbreak of cholera which require to be mentioned.  The Workhouse in Poland Street is more than three-fourths surrounded by houses in which deaths from cholera occurred, yet out of five hundred and thirty-five inmates only five died of cholera. . . . The workhouse has a pump-well on the premises, in addition to the supply from the Grand Junction Water Works, and the inmates never sent to Broad Street for water. If the mortality in the workhouse had been equal to that in the streets immediately surrounding it on three sides, upwards of one hundred persons would have died. “

“  There is a Brewery in Broad Street, near to the pump, and on perceiving that no brewer's men were registered as having died of cholera, I called on Mr. Huggins, the proprietor. He informed me that there were above seventy workmen employed in the brewery, and that none of them had suffered from cholera--at least in a severe form--only two having been indisposed, and that not seriously, at the time the disease prevailed. “

 “ The men are allowed a certain quantity of malt liquor, and Mr. Huggins believes they do not drink water at all; and he is quite certain that the work-men never obtained water from the pump in the street. There is a deep well in the brewery, in addition to the New River water. “

Try question 3.

 

More on natural selection.

Examine the examples on this web site.  Briefly be able to explain why the examples are good examples of natural selection directing the changes observed.

http://evolution.berkeley.edu/evolibrary/article/microexamples_01 Answer question 4.

 

Genetic drift is being accepted as a potent force in evolution. To learn more about genetic drift examine the examples on these two websites.

http://evolution.berkeley.edu/evolibrary/article/samplingerror_01 and

http://evolution.berkeley.edu/evolibrary/article/bottlenecks_01 Answer question 5.

 

Work with this simulation on genetic drift to get a feel for randomness. We'll construct a class poll to see what is the smallest and largest number of trials before genes are fixed.

 http://pages.ucsd.edu/~dkjordan/resources/clarifications/MitochondrialEve.html

and

http://www.cals.ncsu.edu/gn/ex/mit-eve.html Answer question 6.

Often simulations are done on a population level. Below are graphs that simulate genetic drift under the gene frequencies and numbers (N= population size) indicated.  On the y axis is found the frequency for p or one of the alleles. By convention, these types of graphs follow a two allele locus. If your know p or the frequency of one allele, you also know the frequency of that other allele, by convention known as q.

Can you explain the differences among graphs below?   In all the graphs below, genetic drift is being simulated. There are difference in the starting frequency of p and the number of individuals in the population.

one

two

three

Answer question 7.

 

Current examples of genetic drift as a potent force in nature.

http://evolution.berkeley.edu/evolibrary/news/101201_panthers

http://evolution.berkeley.edu/evolibrary/news/080901_dftd

http://evolution.berkeley.edu/evolibrary/news/070701_cheetah Answer question 8.

 

Selection or drift: How do you judge?

For larger populations look for evidence of correlation between environmental change and phenotypic change.  If not there, look for conditions favorable for potent genetic drift, such as small population sizes. Answer question 9.