High Resolution Patterns of Variation in the Arabidopsis Genome Justin Borevitz University of Chicago naturalvariation.org.

Slides:



Advertisements
Similar presentations
Genetic Analysis of Genome-wide Variation in Human Gene Expression Morley M. et al. Nature 2004,430: Yen-Yi Ho.
Advertisements

Potato Mapping / QTLs Amir Moarefi VCR
Single Nucleotide Polymorphism And Association Studies Stat 115 Dec 12, 2006.
Genetics of Adaptation: Arabidopsis thaliana as an ecological model Justin Borevitz Ecology & Evolution University of Chicago naturalvariation.org.
A Genomic Survey of Polymorphism and Linkage Disequilibrium Imran Mohiuddin Magnus Nordborg, Ph.D. University of Southern California.
Genomic Approaches to the Genetics of Adaptation Justin Borevitz Ecology & Evolution University of Chicago
Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. CHAPTER 18 LECTURE SLIDES.
Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago
Genomics of Natural Variation in Arabidopsis thaliana Justin Borevitz Salk Institute naturalvariation.org.
Natural Variation in Arabidopsis thaliana Light Response: Genomic Approaches Justin Borevitz Salk Institute naturalvariation.org.
MicroArray Evolution: expression to mapping and back again Justin Borevitz Salk Institute naturalvariation.org.
High Resolution Patterns of Variation in the Arabidopsis Genome Justin Borevitz University of Chicago naturalvariation.org.
Light response QTL in Arabidopsis thaliana: LIGHT1 cloning Justin Borevitz Ecology & Evolution University of Chicago naturalvariation.org.
Microarrays for mapping and expression analysis: Toward the genetic determinants of light response adaptation in Arabidopsis and Aquilegia Justin Borevitz.
Ecological Genomics Underlying Plant Evolution Deer mouse burrowBirds/insects in a cotton woodFresh water and marine invasives Aquilegia, Arabidopsis,
Genomic Methods for Cloning QTL Justin Borevitz University of Chicago naturalvariation.org.
Composite/ LegumeCotton wood, OakArabidopsis lyrata Miriam grass Aquilegia, Arabidopsis, Mimulus? Indiana Dunes National Lakeshore Justin Borevitz Ecology.
Markers, mapping, and expression using arrays Justin Borevitz Salk Institute naturalvariation.org.
Arrays as tools for Natural Variation studies: Mapping, Haplotyping, and gene expression Justin Borevitz University of Chicago naturalvariation.org`
Genetics and Genomics of Light Response adaptation in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago
Toward the genetic basis of adaptation using arrays Justin Borevitz Ecology & Evolution University of Chicago
Identification and Genotyping of Single Feature Polymorphisms in Complex Genomes Justin Borevitz University of Chicago naturalvariation.org.
Natural Variation in Light Response using Whole Genome Tiling Arrays Justin Borevitz Ecology & Evolution University of Chicago
EcoSystems Biology EcoSystems Biology
Toward the genetic basis of adaptation using arrays Justin Borevitz Ecology & Evolution University of Chicago
Toward the Ecological Genomics Underlying Plant Adaptation Deer mouse burrowBirds/insects in a cotton woodFresh water and marine invasives Aquilegia, Arabidopsis,
Genomics tools to identify the molecular basis of complex traits Justin Borevitz Salk Institute naturalvariation.org.
Genetics and Genomics of Light Response adaptation in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago
Global dissection of cis and trans regulatory variations in Arabidopsis thaliana Xu Zhang Borevitz Lab.
Toward the genetic basis of adaptation: Arrays/Association Mapping Justin Borevitz Ecology & Evolution University of Chicago
High Density Oligo Arrays for Single Feature Polymorphism Genotyping and Mapping Justin Borevitz Ecology & Evolution University of Chicago
QTL mapping using Single Feature Polymorphisms Justin Borevitz Salk Institute naturalvariation.org.
Haplotype mapping with Single Feature Polymorphisms in Arabidopsis Justin Borevitz Ecology & Evolution University of Chicago
High Resolution Patterns of Variation in the Arabidopsis Genome Justin Borevitz Ecology & Evolution University of Chicago naturalvariation.org.
EXtreme Array Mapping and Haplotype analysis Using Arrays Justin Borevitz Salk Institute naturalvariation.org.
Genomic Systems underlying the genetics of adaptation in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago
SNP/Tiling arrays for very high density marker based breeding and QTL candidate gene identification Justin Borevitz Ecology & Evolution University of Chicago.
Mechanisms of Sustainable re Development: Lessons from Plants Justin Borevitz Ecology & Evolution University of Chicago
Towards the Arabidopsis Haplotype Map using Arrays Justin Borevitz Salk Institute naturalvariation.org.
Studies of Genome Wide Molecular Variation in Arabidopsis thaliana using Arrays Justin Borevitz Salk Institute naturalvariation.org.
Toward the genetic basis of adaptation: Arrays/Association Mapping Justin Borevitz Ecology & Evolution University of Chicago
Whole genome transcriptome variation in Arabidopsis thaliana Xu Zhang Borevitz Lab Whole genome transcriptome variation in Arabidopsis thaliana Xu Zhang.
Tiling arrays for genetic, epigentic, and environmental variation in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago
Array Genotyping to Dissect Quantitative Trait Loci in Arabidopsis thaliana Justin Borevitz Ecology and Evolution University of Chicago naturalvariation.org.
Paola CASTAGNOLI Maria FOTI Microarrays. Applicazioni nella genomica funzionale e nel genotyping DIPARTIMENTO DI BIOTECNOLOGIE E BIOSCIENZE.
Introduction Basic Genetic Mechanisms Eukaryotic Gene Regulation The Human Genome Project Test 1 Genome I - Genes Genome II – Repetitive DNA Genome III.
Natural Variation in Arabidopsis ecotypes. Using natural variation to understand diversity Correlation of phenotype with environment (selective pressure?)
The Genome is Organized in Chromatin. Nucleosome Breathing, Opening, and Gaping.
The Center for Medical Genomics facilitates cutting-edge research with state-of-the-art genomic technologies for studying gene expression and genetics,
Fig Chapter 12: Genomics. Genomics: the study of whole-genome structure, organization, and function Structural genomics: the physical genome; whole.
“Recent next generation sequencing results” MACHADO LAB.
Biology 101 DNA: elegant simplicity A molecule consisting of two strands that wrap around each other to form a “twisted ladder” shape, with the.
Microarrays and Their Uses Brad Windle, Ph.D
Chapter 21 Eukaryotic Genome Sequences
Experimental Design and Data Structure Supplement to Lecture 8 Fall
Ecological and Evolutionary Systems biology: Conceptual and molecular tools for analysis Justin Borevitz Ecology & Evolution University of Chicago
Toward the genetic basis of adaptation using arrays Justin Borevitz Ecology & Evolution University of Chicago
Chapter 5 The Content of the Genome 5.1 Introduction genome – The complete set of sequences in the genetic material of an organism. –It includes the.
Recombination breakpoints Family Inheritance Me vs. my brother My dad (my Y)Mom’s dad (uncle’s Y) Human ancestry Disease risk Genomics: Regions  mechanisms.
Microarray analysis Quantitation of Gene Expression Expression Data to Networks BIO520 BioinformaticsJim Lund Reading: Ch 16.
Transcriptome What is it - genome wide transcript abundance How do you obtain it - Arrays + MPSS What do you do with it when you have it - ?
Affymetrix User’s Group Meeting Boston, MA May 2005 Keynote Topics: 1. Human genome annotations: emergence of non-coding transcripts -tiling arrays: study.
Different microarray applications Rita Holdhus Introduction to microarrays September 2010 microarray.no Aim of lecture: To get some basic knowledge about.
Accelerating positional cloning in mice using ancestral haplotype patterns Mark Daly Whitehead Institute for Biomedical Research.
A multi-strain, high-resolution mouse haplotype map reveals three distinctive genetic signatures Laboratory of Population Genetics.
ChipViewer is coded to visualize and analyze the tiling chip data.
Peter John M.Phil, PhD Atta-ur-Rahman School of Applied Biosciences (ASAB) National University of Sciences & Technology (NUST)
Today… Review a few items from last class
One SNP at a Time: Moving beyond GWAS in Psoriasis
Volume 126, Issue 6, Pages (September 2006)
Presentation transcript:

High Resolution Patterns of Variation in the Arabidopsis Genome Justin Borevitz University of Chicago naturalvariation.org

Talk Outline Natural Variation in Light Response Single Feature Polymorphisms (SFPs) –Potential deletions Haplotype analysis Patterns in gene Families New Arrays Aquilegia Natural Variation in Light Response Single Feature Polymorphisms (SFPs) –Potential deletions Haplotype analysis Patterns in gene Families New Arrays Aquilegia

Light Affects the Entire Plant Life Cycle Light response variation can be seen under constant conditions in the lab Natural Variation under selection? Test in field

What is Array Genotyping? Affymetrix expression GeneChips contain 202,806 unique 25bp oligo nucleotides. 11 features per probset for genes New array’s have even more Genomic DNA is randomly labeled with biotin, product ~50bp. 3 independent biological replicates compared to the reference strain Col GeneChip

Potential Deletions

>500 potential deletions 45 confirmed by Ler sequence 23 (of 114) transposons Disease Resistance (R) gene clusters Single R gene deletions Genes involved in Secondary metabolism Unknown genes

Array Haplotyping What about Diversity/selection across the genome? A genome wide estimate of population genetics parameters, θ w, π, Tajima’D, ρ LD decay, Haplotype block size Deep population structure? Col, Lz, Bur, Ler, Bay, Shah, Cvi, Kas, C24, Est, Kin, Mt, Nd, Sorbo, Van, Ws2 Fl-1, Ita-0, Mr-0, St-0, Sah-0

Pairwise Correlation between and within replicates

Array Haplotyping Inbred lines Low effective recombination due to partial selfing Extensive LD blocks ColLerCviKasBayShahLzNd Chromosome1 ~500kb

Distribution of T-stats null (permutation) actual Not ColColNANA duplications 32,427 Calls 208,729 12,250 SFPs

Sequence confirmation of SFPs

SFPs for reverse genetics 14 Accessions 30,950 SFPs`

Chromosome Wide Diversity

Diversity 50kb windows

Tajima’s D like 50kb windows RPS4 unknown

R genes vs bHLH Theta W RPS4

Rgenes vs bHLH Tajimas’ D RPS4

R genes vs bHLH

Review Single Feature Polymorphisms (SFPs) can be used to Potential deletions (candidate genes) Identify recombination breakpoints eXtreme Array Mapping Haplotyping Diversity/Selection Association Mapping

RNADNA Universal Whole Genome Array Transcriptome Atlas Expression levels Tissues specificity Transcriptome Atlas Expression levels Tissues specificity Gene Discovery Gene model correction Non-coding/ micro-RNA Antisense transcription Gene Discovery Gene model correction Non-coding/ micro-RNA Antisense transcription Alternative Splicing Comparative Genome Hybridization (CGH) Insertion/Deletions Comparative Genome Hybridization (CGH) Insertion/Deletions Methylation Chromatin Immunoprecipitation ChIP chip Chromatin Immunoprecipitation ChIP chip Polymorphism SFPs Discovery/Genotyping Polymorphism SFPs Discovery/Genotyping ~35 bp tile,non-repetitive regions, “good” binding oligos,evenly spaced

SNP SFP MMMMMM MMMMMM Chromosome (bp) conservation SNP ORFa start AAAAA Transcriptome Atlas ORFb deletion Improved Genome Annotation

Aquilegia (Columbines) Recent adaptive radiation, 350Mb genome

NSF Genome Complexity 35,000 ESTs 5’ and 3’ 350 arrays, RNA and genotyping –High density SFP Genetic Map Physical Map (BAC tiling path) –Physical assignment of ESTs QTL for pollinator preference –and abiotic stress –QTL fine mapping/ LD mapping Develop transformation techniques Scott Hodges (UCSB) Elena Kramer (Harvard) Magnus Nordborg (USC) Justin Borevitz (U Chicago) Jeff Tompkins (Clemson)

Future work with Natural Variation VanC advanced intercross RIL population Backcross collections

NaturalVariation.org Salk Jon Werner Sarah Liljegren Huaming Chen Joanne Chory Detlef Weigel Joseph Ecker UC San Diego Charles Berry Scripps Sam Hazen Elizabeth Winzeler Salk Jon Werner Sarah Liljegren Huaming Chen Joanne Chory Detlef Weigel Joseph Ecker UC San Diego Charles Berry Scripps Sam Hazen Elizabeth Winzeler University of Chicago Xu Zhang Evadne Smith Syngenta Hur-Song Chang Tong Zhu UC Davis Julin Maloof University of Guelph, Canada Dave Wolyn Sainsbury Laboratory Jonathan Jones University of Chicago Xu Zhang Evadne Smith Syngenta Hur-Song Chang Tong Zhu UC Davis Julin Maloof University of Guelph, Canada Dave Wolyn Sainsbury Laboratory Jonathan Jones