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Printable Handouts
Navigable Slide Index
- Introduction
- Traits can be difficult to measure directly
- Genetic markers are easier to measure directly
- Evolution of genetic markers
- Discrete traits resulting from single genes
- Marker searches using pooling strategies
- Small influences of environment can be dealt with
- More complex traits require different strategies
- Quantitative trait locus (QTL) mapping
- Ninety years of QTL mapping
- Locating QTLs within a ‘likelihood interval’
- Cost of linkage drag vs. cost of time and work
- Mapping QTLs to small genomic regions
- QTL mapping extrapolation to other populations
- Association genetics complements QTL mapping
- Conventional 3-generation linkage mapping
- Association mapping
- Genetic association example
- False positive (relatedness)
- Significant association
- Massively parallel sequencing
- QTL mapping vs. association mapping
- Identifying intersections: QTL & association data
- Comparative approaches may explain QTLs
- Comparisons span ever-greater distances
- Marker assisted selection in agriculture: summary
- Cycling of gametes in vitro – the next revolution?
Topics Covered
- Measuring traits & genetic markers directly
- Evolution of genetic markers
- Discrete traits resulting from single genes
- Marker searches using pooling strategies
- Small influences of environment vs. dealing with complex traits
- Quantitative trait locus (QTL) mapping
- Association genetics complements QTL mapping
- Conventional 3-generation linkage mapping
- False positive (relatedness) vs. Significant association
- Massively parallel sequencing
- Cycling of gametes in vitro
Talk Citation
Paterson, A.H. (2013, December 1). Marker assisted selection in agriculture [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved November 21, 2024, from https://doi.org/10.69645/XIGK7852.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Andrew H. Paterson has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
A selection of talks on Genetics & Epigenetics
Transcript
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0:00
My
name is Andrew Patterson.
I'm a professor at the University
of Georgia in the United States.
And my subject is to address marker
assisted selection in agriculture.
0:13
Perhaps the single most important
reason that marker assistant
selection has become important
is because it's frequently
very challenging to be able
look at a plant or animal
and assess its genotype
based on the way it looks,
based on its phenotype.
This is an example
from peanut, which
is the plant that's growing here.
Based on some work done by two of
my former professional colleagues,
Charles Simpson,
who's squatting down,
and James Starr, who's
sort of kneeling,
taller, they're standing
in a row of peanut that's
highly resistant to
the Root-Knot Nematode
that these two gentlemen have bred.
And next to it is a strain
that's highly susceptible.
In fact, it's near isogenic
to the line that they've bred.
This is a particularly challenging
phenotype to determine, first
of all because the organism
that's attacking the plant
lives underground,
lives in the roots.
You can't see it.
You can only see what's
happening above ground.
You can eventually see what's
happening above ground,
but by that time it's
killed the plant.
So in order to actually see
the phenotype developing,
one has to dig up the roots
and count the nematode eggs
on the roots, keeping in mind that
the nematode itself is microscopic
and the eggs are even smaller.
There might be hundreds of eggs or
even thousands of eggs on the roots
of one plant, so one
could imagine that this
would get sort of tedious.
Furthermore, in order to accurately
assess a large number of plants
for their phenotype,
one has to be sure
that one has a uniform infestation.
By, in this case,
the nematode, or it
could be some other
pest or pathogen,
or it could be an abiotic
stress like drought resistance.
One has to make sure they have the
proper environment to actually see
the phenotype develop.
In some years, nature might
dish out the proper environment.
In other years, nature might not.
And finally, once one has the
proper conditions to actually see
the phenotype, one has to be
able to visualize the data
and digitize the data in some
sort of quantitative manner.
Those things can all
be very challenging,
particularly for a trait like
this where most of the action
is underground.