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Printable Handouts
Navigable Slide Index
- Introduction
- Overview
- Genomics and the world’s most important crops
- Traditional breeding and limitations
- Domestication bottleneck (1)
- Traditional breeding
- Genomics-assisted breeding (1)
- Cost per raw megabase of DNA sequence
- Genomics-assisted breeding (2)
- Conducting a sequencing project
- Generating sequence data: sample preparation
- Generating sequence data: library preparation
- Reduced representation sequencing (1)
- Reduced representation sequencing (2)
- Multiple sequencing technology options (1)
- Multiple sequencing technology options (2)
- Generating sequence data: data processing
- Generating sequence data: post-processing
- Genotyping platforms
- Applications of the data
- Understanding genetic architecture
- A note on mapping the genome
- Using your markers to make a genetic map
- Finding the genes
- Experimental approaches - QTL mapping
- Genome-wide association mapping
- Multi-parent advanced generation inter-cross
- From QTL to candidate gene
- Alternative to MAS
- How else can genomic tools guide us?
- Domestication bottleneck (2)
- Leveraging wild diversity
- Synthesis
- Putting it all together
- The world’s most important crops - map density
- Free online resources
- Looking forward
- Keys to success for accelerated crop breeding
- Hot areas for the future of breeding
- Advancement of underutilized crops
- Improving global food security
- Summary
- Take home message
- Acknowledgements
Topics Covered
- Genomics and the world’s most important crops
- Traditional breeding and limitations
- Domestication bottleneck
- Genomics-assisted breeding
- Conducting a sequencing project
- Sample preparation
- Library preparation
- Reduced representation sequencing
- Multiple sequencing technology options
- Data processing
- Post-processing
- Genotyping platforms
- Applications of the data
- Understanding genetic architecture
- Mapping the genome
- QTL mapping
- Genome-wide association mapping
- From QTL to candidate gene
- Alternative to MAS
- Keys to success for accelerated crop breeding
- Hot areas for the future of breeding
- Advancement of underutilized crops
- Improving global food security
Links
Series:
Categories:
Talk Citation
Pearl, S. (2014, July 1). The impact of DNA sequencing technology on agriculture [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved December 21, 2024, from https://doi.org/10.69645/KWRV8022.Export Citation (RIS)
Publication History
Financial Disclosures
- Dr. Stephanie Pearl has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
A selection of talks on Methods
Transcript
Please wait while the transcript is being prepared...
0:00
Hi,
I'm Stephanie Pearl,
and I'm a researcher at
the University of Georgia.
Today, I will be giving you an
overview about some of the ways
recent advances in DNA
sequencing technology
has impacted agriculture.
You may notice that some of the
topics that I touch on today
are covered in much more detail
in some of the other lectures
within the agricultural genetics
section of the Henry Stewart talks.
0:26
So I will begin with an overview.
And I'll begin by giving an
introduction in which I first
talk about some of the
world's most important crops,
and introduce them in the
context of breeding and genomics.
And then I'll delve into a
little bit more information
on how one goes about
conducting a sequencing project.
And then, how does one actually
apply the sequencing data
to advancing breeding populations?
And then, I'll conclude with
some thoughts looking forward.
So to begin.
0:55
Pictured here is a list of 12
the world's most important crops.
And this is based on
total area harvested.
And I've listed their genome sizes.
So for example, if you look
at ground nut or peanut,
you could see that has a
genome 3 billion base pairs.
And I've also listed the ploidy
level, or the total number
of copies of chromosomes
in each of these species.
If you look at potato,
you can actually
see that different individuals have
variable ploidy levels, starting
from diploid all the
way up to hexaploid.
And I've also listed the
top production areas.
So there's quite a bit of
information listed on this slide.
So you may wish to pause for
a moment to take it all in.
Really, there are just a few
points that I wish to make here.
First of all, these are
the 12 most important crops
as of the year 2012.
And this ordering
has remain relatively
unchanged in the past 50 years.
Therefore, because of the
importance of these crops,
they have been the focus
of genomics analyses.
And so here, with the red stars
next to each one of the crops,
I've indicated which species
have genome sequence data.
So what about wheat, sugar
cane, sunflower, and peanut?
Why don't they have whole
genome sequence data yet?
Well, this is currently
a work in progress.
And as you look at the genome size
and ploidy level of these species,
you can see that compared
to the other ones,
they're a bit more
unwieldy to deal with.
So how is genomics data used to
advance and improve these crops?
Well, before I answer
that question, let's first
consider how traditional
breeding proceed.