BUDDING TECHNOLOGIES
AND BUDDING YEAST
2012 HHMI Summer Workshop for High School
Science Teachers
The Genomics of S.cerevisiae
GOALS
Introduction to the
Genomics of Yeast
Sequencing Technologies and how they are evolving
Introduction to Systems
Biology and modern Yeast
Genetics
Genetics and Genomics
GENETICS is the science of genes, heredity and variation.
Genetic studies typically focus on a single gene.
Experiments typically involve mutation of the model organism, then looking to figure out what went wrong.
GENOMICS is a discipline of systems biology that focuses on the genome.
Genomic studies typically study all genes at once
Basic Yeast Statistics
16 chromosomes
Genomic Organization &
Nomenclature
16 Chromosomes.
Range from 230kbp –
1.5Mbp
Basic Yeast Statistics
16 chromosomes
13.1 Mbp of sequence
E.coli:
4.6 Mbp
Yeast:
13.1 Mbp
Drosophila:
122 Mbp
Zebrafish:
1.2 Gbp
Human:
3.3 Gbp
Basic Yeast Statistics
16 chromosomes
13.1 Mbp of sequence
6,183 open reading frames
73% of the genome codes for genes
E.coli:
4,377
Yeast:
6,183
Drosophila:
17,000
Zebrafish:
15,800
Human:
23,000
Basic Yeast Statistics
16 chromosomes
13.1 Mbp of sequence
Left arm Crick Strand
Y A L 014 C
6,183 open reading frames
Chromosome I 14 th gene from
73% of the genome codes for genes the centromere
Genes are named by position.
Where to learn more:
Saccharomyces Genome Database
Where to learn more: Browser
Saccharomyces Genome Database
Yeast as a Model System
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Yeast share most basic systems with human.
Polymerases
Nucleosomes
Translation
Splicing
Stress response
DNA damage response
Cell Cycle
Mitotic mechanisms
Meiosis
More about Yeast
About75% of yeast genes have something known about them.
More about Yeast
About75% of yeast genes have known functions.
Many genes serve to regulate other genes.
More about Yeast
About75% of yeast genes have known functions.
Many genes serve to regulate other genes.
About 1/3 of proteins are in the nucleus.
GOALS
Introduction to the
Genomics of Yeast
Sequencing Technologies and how they are evolving
Introduction to Systems
Biology and modern Yeast
Genetics
Sequencing the First Eukaryote
• 600 Scientists
• >100 labs
• World wide effort
Sanger Sequencing
Sanger Sequencing
So… How do you sequence a Genome?
Walking
So… How do you sequence a Genome?
Walking
So… How do you sequence a Genome?
Walking
Types of vectors
Type plasmid cosmid fosmid
BAC
YAC
Host
E.Coli
E.Coli / phage
E.Coli – F’ element
E.coli
Yeast
Amount of DNA
1-20 kb
37-52 kb
40 kb 1/cell
150-350 kb
100 – 3,000 kb
So… How do you sequence a Genome?
Walking
Shotgunning
Randomly fragment
~1-2kb
Completely sequence
Reassemble
So… How do you sequence a Genome?
Walking
Shotgunning
Mixed Approach
Prescaffolding markers
Large vectors
So… How do you sequence a Genome?
Walking
Shotgunning
Mixed Approach
Prescaffolding
Shotgunning the fragments markers
Large vectors
Small plasmids
Yeast to Human….
A new revolution
454
Solexa
ABI
How NGS works
Fundamentally different from Sanger
Detect each base individually, then extend
Watch as polymerase moves along the chain
Each molecule is read multiple times
How NGS works
Illumina Sequencing uses “Sequencing by
Synthesis
Adaptors added to
DNA to make them bind the flowcell.
In situ, the DNA is amplified into a cluster
How NGS works
Primer then binds to the sequence.
Bases are flowed over the cluster and nucleotides are read.
How NGS works
Primer then binds to the sequence.
Bases are flowed over the cluster and nucleotides are read.
Billions of reads are happening at once.
A new revolution
Sequencing costs are plummeting.
A new revolution
Sequencing costs are plummeting.
Cut in half every year.
A new revolution
Sequencing costs are plummeting.
Cut in half every year.
Yields are sky rocketing.
Applications gDNA mRNA miRNA
IP
Re-Sequencing
De Novo Sequencing
SNP Discovery
Transcript Discovery
Expression Analysis miRNA Analysis
Allelic Expression
ChIP-Seq
Nuclear run-on
Copy Number Variation
… and more
Applications: Genetics
Mutation in alk in 224A/+
R>H D>N homozygous
GOALS
Introduction to the
Genomics of Yeast
Sequencing Technologies and how they are evolving
Introduction to Systems
Biology and modern Yeast
Genetics
Systems Biology
Most molecular biology has been carried out with a reductionist point of view
Look at one gene or one protein or a class of genes
Systems Biology attempts to look at organisms holistically
“OMICS” (genomics, proteomics, metabolomics, transcriptomics, etc.)
Systems Biology: Beginnings
First whole genome experiments were done with microarrays.
Surface of the microarray is spotted with DNA reflecting every gene in the genome
Total RNA is hybridized to the surface
Amount of material can be measured by intensity
Forward Genetics v Reverse Genetics
Forward genetics is the classical method for doing screens.
1) Find a phenotype.
2) Find out why it happens.
Reverse genetics mutates a gene, then sees what it does.
This defined genetic alteration makes it amenable to systems biology approaches.
Functional Screen: Two-Hybrid
Screen genome wide for protein interaction partners.
A “prey” library requires every protein to be fused to a transcription activation domain.
Screen with a bait protein that binds to the DNA.
Functional Screen: Two-Hybrid
Screen genome wide for protein interaction partners.
A “prey” library requires every protein to be fused to a transcription activation domain.
Screen with a bait protein that binds to the DNA.
Create large networks.
The Modern Yeast Toolkit
Two-Hybrid
Knockout library
GFP Fusion library
Overexpression library
High Copy
Low Copy
GST fusion library
Screening GFP Libraries
GFP Library
STRESS
Cntl
-factor HU MMS
FIX and STAIN
IMAGE
Quantify changes in intensity and location
Protein: RNR4
Control
-factor HU
Data from Samson Lab
Knockout Library and “BARseq”
Knock out strains have unique molecular barcodes that act as finger prints.
By pooling all the strains together, frequency of each strain can be determined by the frequency of the barcode in NGS experiments
Knockout Library and “BARseq”
ALL STRAINS
Experiments can be done by looking at the variations in frequency of the pool after changing the environment of the library.
RICH MEDIA MINIMAL MINIMAL + AAs
SEQUENCE AND LOOK FOR
CHANGES IN FREQUENCY
The Future – Synthetic Biology
Key limitations of current toolset
Have to create each strain separately.
Finite number of mutations being created.
The Future – Synthetic Biology
Assembly of chromosomes in vitro.
Can add any mutation anywhere by replacing a segment and reintroducing.
Can create designer chromosomes with complex and unusual traits
Do not require “carrier markers”
Craig Venter, 2010
The End
Introduction to the
Genomics of Yeast
Sequencing Technologies and how they are evolving
Introduction to Systems
Biology and modern Yeast
Genetics