Download A T C G - National Angus Conference

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Gel electrophoresis of nucleic acids wikipedia , lookup

Zinc finger nuclease wikipedia , lookup

DNA paternity testing wikipedia , lookup

Human genetic variation wikipedia , lookup

Tag SNP wikipedia , lookup

DNA damage theory of aging wikipedia , lookup

United Kingdom National DNA Database wikipedia , lookup

Molecular cloning wikipedia , lookup

Comparative genomic hybridization wikipedia , lookup

Nucleic acid analogue wikipedia , lookup

Nucleic acid double helix wikipedia , lookup

Cancer epigenetics wikipedia , lookup

SNP genotyping wikipedia , lookup

Vectors in gene therapy wikipedia , lookup

Polyploid wikipedia , lookup

Transposable element wikipedia , lookup

DNA supercoil wikipedia , lookup

Chromosome wikipedia , lookup

Quantitative trait locus wikipedia , lookup

Therapeutic gene modulation wikipedia , lookup

Public health genomics wikipedia , lookup

Mitochondrial DNA wikipedia , lookup

Gene wikipedia , lookup

DNA sequencing wikipedia , lookup

Frameshift mutation wikipedia , lookup

Mutagen wikipedia , lookup

Epigenomics wikipedia , lookup

Cre-Lox recombination wikipedia , lookup

NUMT wikipedia , lookup

Genetic engineering wikipedia , lookup

Deoxyribozyme wikipedia , lookup

Genome (book) wikipedia , lookup

RNA-Seq wikipedia , lookup

Extrachromosomal DNA wikipedia , lookup

Bisulfite sequencing wikipedia , lookup

Designer baby wikipedia , lookup

Pathogenomics wikipedia , lookup

Cell-free fetal DNA wikipedia , lookup

Oncogenomics wikipedia , lookup

Minimal genome wikipedia , lookup

Mutation wikipedia , lookup

Microsatellite wikipedia , lookup

Genealogical DNA test wikipedia , lookup

Point mutation wikipedia , lookup

Site-specific recombinase technology wikipedia , lookup

Metagenomics wikipedia , lookup

Microevolution wikipedia , lookup

Artificial gene synthesis wikipedia , lookup

No-SCAR (Scarless Cas9 Assisted Recombineering) Genome Editing wikipedia , lookup

Helitron (biology) wikipedia , lookup

Human genome wikipedia , lookup

Non-coding DNA wikipedia , lookup

History of genetic engineering wikipedia , lookup

Whole genome sequencing wikipedia , lookup

Genome editing wikipedia , lookup

Genomic library wikipedia , lookup

Human Genome Project wikipedia , lookup

Genome evolution wikipedia , lookup

Genomics wikipedia , lookup

Transcript
10/5/12 Megan Rolf
Tonya Amen

 
 
Mark McCully

Chromosomes
A
C
T
G
A
G
G
A
G
G
A
G
G
A
G
G
•  Chromosome
o  Each book consists of multiple sections
•  Genes
C
C
C
A
C
T
G
A
G
G
A
G
G
A
G
G
 
• Genes
• Not Genes
Chromosomes
• 29 pairs Autosomal
• 1 pair sex chromosomes (XX or XY)
• 1 set from each parent
Within your town’s phone book, from one year to another
there are a few additions, but most of the book is the same
o  Each time we go through a generation, there are mutations
introduced into the genome
We represent DNA like a long string of letters (ACTG)
Chromosomes
Microsatellite
A
o  Like Smith or Jones
o  Genetic defect testing
o  Coat Color
BB or Bb
DNA Markers
o  A mutation NEAR the causal mutation
o  Marker tests
Coding vs. Noncoding
Your phone book is different from my phone book
o  Long strings of repeats in the DNA
o  Genotype = Phenotype
o  SNP chips
• A, T, G, and C
o  The chromosomes in different families differ from each other
 
o  The mutation that causes the phenotype
o  Typically for performance traits
 
 
Causal Mutations
o  Genotype = Phenotype ?
DNA Bases
Genome
o  A stack of phone books is like a genome
 
ATGC
The Genome!
The genome is like a stack of phone books
We represent DNA like a long string of letters
(ACTG)
 
The image cannot be displayed.
Your computer may not have
enough memory to open the
image, or the image may have
been corrupted. Restart your
computer, and then open the
file again. If the red x still
appears, you may have to
delete the image and then
insert it again.
bb
o  Common on older parentage panels
C
T
G
A
G
G
A
G
G
A
G
G
A
G
G
C
C
C
A
C
T
G
A
G
G
A
G
G
A
G
G
1 10/5/12  
 
We represent DNA like a long string of letters (ACTG)
Chromosomes
SNPs
o  Single Nucleotide Polymorphism
o  Single Base Change in DNA
o  Like a typo in the phone book
o  Millions in the bovine genome
o  Now more commonly used for DNA tests
•  Easier to assay
•  Cheaper!
Rolf M
 
 
A
C
T
G
A
A
A
G
G
G
A
G
C
T
T
G
A
C
T
G
A
A
A
G
T
G
A
G
C
T
T
G
Genes assort independently into gametes
o  Can’t test directly
 
combinations
o  Recombination
o  Track inheritance
 
GT
GG
AC
TT
GT
GC
AC
2003- Human Genome
Structure of
Sequencing Project Completed
DNA Discovered
December 2003
Bovine Genome Sequencing
Project Commenced
1990- Human Genome
Sequencing Project Commenced
October 2004
1st Bovine Genome
Draft Sequence Complete
2008-50K Chip
Available
2010-GE EPDs
Genes assort independently into gametes
o  Every mating can produce 1,152,921,504,606,846,976 genetically distinct full siblings!!!
o  DNA markers can help us figure out what was inherited by each animal
 
Mid 2000s
o  First DNA marker test for a production trait
o  GeneStar Quality Grade
o  4 markers by 2007
Mid 2000s-First Commercialized
DNA Marker Test for
production trait (QG)
 
2008
 
2011
 
2013
o  50K SNP Chip
o  770K SNP Chip
2011-770K Chip Available
1970sNCE implemented
EPDs
Independent
assortment
o  Many possible
o  Every mating can produce 1,152,921,504,606,846,976 genetically distinct full siblings!!!
o  DNA markers can help us figure out what was inherited by each animal
AT
Not the Causal
Mutation
(unfortunately)
2013 and Beyond:
Routine sequencing for
high-use genetics?
o  Genome sequencing-includes all possible DNA markers!
o  Exome Sequencing
o  Gene Expression (RNA)
1950
1960
1970
1980
1990
2000
2010
o  Rumen Microbes (Microbiome)
2020
 
Prices are Dropping as amount of data and adoption (volume) increases!!!
2 10/5/12 Now: Genomic Selection
Thousands of Markers
  SNP Markers
 
 
o  Cheap(er)
Then: Marker Assisted Selection
  A few markers
  Large effects
 
More Options!
 
Picture from msu.edu
 
Parentage
Simple Traits:
 
Complex Traits:
 
 
o  Genetic Defect testing
 
Maintaining current prediction accuracy will
require constant phenotype collection and
retraining with more genotypes
Adding more markers on a larger chip will
most likely show diminishing returns
o  50K to 770K ~3-5% increase in prediction
o  Genomic data into NCE (for some panels)
accuracy (Kachman)
o  Targeted panels
•  Strategies for improvement?
•  GeneMax (not in NCE) + Others
o  Still markers, not causal mutations
o  Small Chips
o  Only a subset of all the mutations in the genome
•  9K
 
o  Large panels
Whole Genome Sequencing
o  All mutations at one time (could be millions!)
•  50K
o  Not just what is on the chip
o  Includes causal and rare mutations
 
 
o  Find regions (chip) vs. Find Causal Mutations
Sequencing was key to developing all of these tools!
1990-2003: Human Genome Sequencing
Project
(sequencing)
Cost of Sequencing Genomes
3,000
project/budget.shtml)
o  More than $3 Billion by some estimates!
 
2003-2005: Bovine Genome Sequencing
Project
o  ~2 years (to get 6x draft assembly)
o  $53 million (http://www.genome.gov/12512874)
o  Still working to improve assembly and gene
annotations
 
Current Cost for 1 Genome: ~$10,000
 
Rumored cost for 1 Genome: ~$1,000
o 
Approximate Cost of Sequencing (in millions)
o  13 years
o  ~$437 Million (http://www.ornl.gov/sci/techresources/Human_Genome/ 2,500
 
2,000
How much information are we
talking about?
o  3,200 bases/sheet of paper
o  1 copy of each chromosome
1,500
•  3 billion base pairs
o  4.6 pallets of paper
1,000
o  Each cell has 2 copies of each
chromosome
500
Data only, no assembly
0
o 
Data only, no assembly
1990
2003
2007
2011
2013+
Year
http://www.bio-itworld.com/2010/09/28/1Kgenome.html
3 10/5/12  
Limited more by data
storage requirements
and computing power for
analysis than by data
generation
 
o  Are all included in the genome sequence
•  Develop better marker panels in the future
o  No need for additional DNA testing
 
Genetic evaluation
o  Information can be used in genetic evaluation
o  Like putting together a
puzzle with millions of
small pieces and no
picture to tell you what it
looks like
o  Need to use computer to
predict where genes are
o  Identify mutations
Causal mutations
o  Can also be used to augment DNA testing information for relatives
•  Fill in the gaps (imputation)
 
Fertility
 
Data repository
o  Address early embryonic mortality by combo sequencing and DNA chips
o  Each carrying ~8 recessive lethal mutations
o  If issues do arise, already have the tools needed to solve the problem
quickly
Dr. Megan M. Rolf
201h Animal Science Building
Stillwater, OK 74078
(405)744-9292
[email protected]
4