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Lecture 22

# Lecture 22- Quantitative Genetics

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University of Toronto St. George

Human Biology

HMB265H1

Christian Campbell

Winter

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Thursday, March 26, 2009
- Mendel Gets Normal, an introduction to quantitative genetics. Today
were going to talk about how Mendel gets normal and by normal he isnt
talking about going weird to normal but a normal distribution. So what
this lecture serves then is an introduction to quantitative genetics.
- Before we get started on that, lets take a step back, taking stock of
where weve been so far with regards to our understanding of genetics. He
will lead us from the beginning and considering where we just finished up
in Lecture # 21 so going right to the beginning then weve seen this in
each lecture right now. Mendel explained patterns of inheritance on the
basis of what he saw happen with discrete traits, how they were passed on
from a parental generation to a F1 generation eventually to a F2
generation according to discrete ratios. We saw that the way Mendel
considered his traits couldnt be all that simple. For example, the law of
independent segregation, that is, the way in which 2 traits segregated
within an individual couldnt be as simple as Mendel described because of
course, genes are linked up on chromosomes and we saw with Thomas
Hunt Morgan in his lab took advantage of that fact to begin to assemble
effectively the roadmap or maps to understand how genes were linked
together on chromosomes. Where we finished on last lecture was what
one of Thomas Hunt Morgans students, Alfred S, did to understand that
linkage relationship from one gene to the next.
- Just going back to last lecture, recall he started off by doing these 2
point test crosses, that is, looking at pairwise combinations of genes,
hybrid individuals & he took this one step further to look at these
trihybrid crosses 3 point test crosses to establish linkage relationships b/w
3 or more genes simultaneously. Doing this of course in Drosophila
melanogaster & he did that simply by making crosses b/w females that
were trihybrid individuals F1 individuals & crossing them with tester
males b/c recall recombination only takes place to an appreciable extent in
females & simply by counting the offspring & their phenotypes, looking
at then the parental types, the single recombinants & the double
recombinant individuals. On the basis of that info & how we use that to
calculate recombination frequencies, he was able to establish genetic
maps like the one we constructed in the last lecture. We walked through
that in the last lecture & the steps we went through are precisely what we
must go through as we construct genetic linkage maps for both your
tutorial and for the exam.
- That is where we finished off & what he talked about was how we could
use the same method iteratively (over & over) to construct maps of the
way in which traits were linked together on chromosomes & more
specifically we should say linkage groups for any given organisms & he
finished with the tomato.
- There is an important point here with regards to the tomato & that is
were still talking about segregation of discrete traits just like what
Mendel was looking at, that is, traits that show some kind of qualitative
mode of inheritance, either you have the trait or you dont. That is how
these maps were assembled but of course we know in the real world that
is not the way in which variation looks, particularly as we look around the
room. We know that the world looks more like the pictures he shows at
the beginning of every lecture.
- Now were finally going to get at trying to understand how we observe
more quantitative variation, not qualitative but quantitative variation in
www.notesolution.com traits, that is where the variation in traits is more continuous, that it is
more difficult to see distinctions b/w discrete forms of the trait and that is
what he wants to consider today.
- Today he wants to address the following. Phenotypic variation as we just
saw doesnt always appear discrete, that is qualitative, but rather
continuous or quantitative. Can genetics explain this kind of variation and
if it can, what are the tools that we use to describe it and how can we look
at the patterns of inheritance for such traits?
- This is what well lookat today. Today were going to consider very
simply, an intro to quantitative variation & quantitative genetics which we
will continue in the next 2 lectures so well take a look at continuous
variation, additive inheritance & the most important equation in genetics,
P=G+E.
- Here is the question he said he would address or at least begin to address
in this particular lecture. Can genetics explain quantitative variation?
- We know that many traits appear quantitative in nature, he just showed
us examples of tomatoes but of course, we know that this is also true for
humans.
- Here he is sh owin g chan ges in bo d ysiz e, heig ht an d shape, bo d y
weight, body mass index and so on.
- We know that we can see continuo us variation in such traits and we
know that such traits frequently show a so-called normal distribution, that
is a distribution that shows a stereotypical bell-shaped distribution about a
mean where the mean of the population is where the frequency of the
individuals is highest, and out at the tails of the distribution obviously the
frequency of those individuals is the lowest.
- The question is, can Mendelian genetics explain this, and can such traits
have a genetic basis?
- We know that there is a certain problem we must consider. When we see
these traits, we know they cannot just be a product of genetics alone. We
know there must be influence of environment on such traits so here were
just looking at body size. We know the factors we see around the outside
together with genetics will determine the trait.
- Thin gs that are re al ly comin g to lig ht as of re nt ly are thin gs like
bacteria, microbes we have in our gut will determine if we will have a
svelte physique or less svelte. Food abundance, amount of exercise, type
of food eaten, whether we were exposed to specific pathogens, we know
all these factors will act upon genetic material and work together to give
rise to that phenotype.
- So quest io n again, can simple Men del ian genet ics ex plain this? Can
such traits have a genetic basis? Can we actually track traits where we
know that there is contribution of environment to the trait? Can we
actually figure out where the genetic basis of that trait is? That is what he
wants to address today.
- The way he wants to get at it, to see if we can actually dissect such
complex traits is by taking a step back & looking at what weve
understood right from the beginning of these series of lectures & that is
taking a look back at first principles & what we know so far about the
inheritance of traits.
www.notesolution.com- What we started at the beginning of his lectures is this: simple Punnett
square looking at a simple segregation and reuniting of course of alleles at
one locus.
- So youve seen this before. We know that with simple dominance mode
of inheritance that if we cross monohybrid individuals, that is, 2
heterozygotes together with each other, what were going to see is the
stereotypical 1:2:1 stereotypic genotype ratio and the 3:1 phenotypic ratio,
that is, what we see presence or absence of the trait.
- If we were to take a look at that as a frequency distribution graph, here is
what we would see. If we took a look at the trait measure, what we would
find is that in the absence or presence of the trait and the frequency, we
would have one individual who does not have the trait for every 3
individuals that have the trait so there we go.
- Of course what is underpinning that distribution and that is an important
point, what is underpinning that distribution is on the left hand side, the
genotype of the homozygous recessive individual and on the other
column, the individuals that have the 3 within this distribution, we have a
mixture of homozygous dominant and heterozygotes. That is going to be
very important for something we will take a look at next lecture so put a
star beside it and say see Lecture 23.
- What he wants to hig hl ig ht rig ht now is if we take a lo o kat this
distribution, we woul

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