Roger Wise USDA-ARS / Iowa State University Genetical genomics of Puccinia graminis TTKS.

Slides:



Advertisements
Similar presentations
OAT RUST RESEARCH at the PLANT BREEDING INSTITUTE PROF. ROBERT F. PARK ADJ. ASSOC. PROF. COLIN WELLINGS DR. HAYDAR KARAOGLU DR. DAVINDER SINGH ADRIAN CABRAL.
Advertisements

Planning breeding programs for impact
Genetic Analysis of Genome-wide Variation in Human Gene Expression Morley M. et al. Nature 2004,430: Yen-Yi Ho.
Cameron Peace, Washington State University
Association Mapping as a Breeding Strategy
Qualitative and Quantitative traits
SHI Meng. Abstract The genetic basis of gene expression variation has long been studied with the aim to understand the landscape of regulatory variants,
Abstract BarleyBase ( is a USDA-funded public repository for plant microarray data. BarleyBase houses raw and normalized expression.
Whole genome association mapping of beta-glucan content ir barley Ieva Mežaka, Nils Rostoks Advances in Plant Biotechnology in Baltic Sea region1.
Chapter 7: Molecular markers in breeding
Natural Variation in Arabidopsis thaliana Light Response: Genomic Approaches Justin Borevitz Salk Institute naturalvariation.org.
Cosegregation of Phenotypes with Genotypes in OWB Abstract The purpose of this research is multifaceted. The first objective was to identify polymorphisms.
Introduction to Computational Biology Topics. Molecular Data Definition of data  DNA/RNA  Protein  Expression Basics of programming in Matlab  Vectors.
Genomic Methods for Cloning QTL Justin Borevitz University of Chicago naturalvariation.org.
Markers, mapping, and expression using arrays Justin Borevitz Salk Institute naturalvariation.org.
BIG DIFFERENCES BETWEEN GENOTYPES AND OVER TIME. Between 600 and 750 probes were differently expressed between infected and uninfected cattle. Principle.
Genomics tools to identify the molecular basis of complex traits Justin Borevitz Salk Institute naturalvariation.org.
Fibre properties that affect paper quality Strength –Microfibril length/thickness –Hydrogen bonding between microfibrils and other cell wall constituents.
Office hours Wednesday 3-4pm 304A Stanley Hall Review session 5pm Thursday, Dec. 11 GPB100.
EXtreme Array Mapping and Haplotype analysis 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.
A multi-state, multi-institution project, funded by USDA/CSREES dedicated to the genetic improvement of US wheat through research, education and extension.
3 rd UK Cereal Genetics and Genomics Workshop. Next generation Genomics challenges 3 rd UK Cereal Genetics and Genomics Workshop. Next generation Genomics.
Identification of obesity-associated intergenic long noncoding RNAs
Paola CASTAGNOLI Maria FOTI Microarrays. Applicazioni nella genomica funzionale e nel genotyping DIPARTIMENTO DI BIOTECNOLOGIE E BIOSCIENZE.
Resistance to Stem Rust Race TTKS Maps to the rpg5/Rpg5 Complex of Chromosome 7(5H) of Barley Brian Steffenson, Yue Jin, Robert Brueggeman and Andris Kleinhofs.
Identification of Elemental Processes Controlling Genetic Variation in Soybean Seed Composition José L. Rotundo, Silvia Cianzio & Mark Westgate Iowa State.
Epigenome 1. 2 Background: GWAS Genome-Wide Association Studies 3.
Natural Variation in Arabidopsis ecotypes. Using natural variation to understand diversity Correlation of phenotype with environment (selective pressure?)
PLEXdb Plant Expression database Ethalinda Cannon Iowa State University January 15th, 2007.
Amandine Bemmo 1,2, David Benovoy 2, Jacek Majewski 2 1 Universite de Montreal, 2 McGill university and Genome Quebec innovation centre Analyses of Affymetrix.
Abstract BarleyBase is a USDA-funded public repository for plant microarray data. BarleyBase houses raw and normalized expression data from the 22K Affymetrix.
Outline of Barley CAP Approach Breeding lines from 10 breeding programs are phenotyped (over 40 traits) in collaborative trials and individual breeder.
Finish up array applications Move on to proteomics Protein microarrays.
APPLICATION OF MOLECULAR MARKERS FOR CHARACTERIZATION OF LATVIAN CROP PLANTS Nils Rostoks University of Latvia Vienošanās Nr. 2009/0218/1DP/ /09/APIA/VIAA/099.
Isle Royale, Michigan Grey Wolves and Genetic Drift Conservation Genetics of the Endangered Isle Royale Gray Wolf Wayne et al Conservation Biology,
Regulation of gene expression in the mammalian eye and its relevance to eye disease Todd Scheetz et al. Presented by John MC Ma.
Jing Yu 1, Sook Jung 1, Chun-Huai Cheng 1, Stephen Ficklin 1, Taein Lee 1, Ping Zheng 1, Don Jones 2, Richard Percy 3, Dorrie Main 1 1. Washington State.
Intro to Microarray Analysis Courtesy of Professor Dan Nettleton Iowa State University (with some edits)
Experimental Design and Data Structure Supplement to Lecture 8 Fall
Quantitative Genetics. Continuous phenotypic variation within populations- not discrete characters Phenotypic variation due to both genetic and environmental.
Quantitative Genetics
MEME homework: probability of finding GAGTCA at a given position in the yeast genome, based on a background model of A = 0.3, T = 0.3, G = 0.2, C = 0.2.
Affymetrix 2.0 miRNA arrays on lung tissue RNA n=3-4 mice/strain 92 differentially expressed miRNAs 38 miRNAs both differentially and highly expressed.
Data Mining at PLEXdb : Plant and Plant Pathogen Gene Expression Database.
Abstract: The development of wheat and barley microarrays for gene expression analyses have opened the ability to identify genes whose expression patterns.
ANALYSIS OF GENE EXPRESSION DATA. Gene expression data is a high-throughput data type (like DNA and protein sequences) that requires bioinformatic pattern.
1 Before considering selection, it’s important to characterize how gene expression varies within and between species. What evolutionary forces act on gene.
Biases in RNA-Seq data. Transcript length bias Two transcripts of length 50 and 100 have the same abundance in a control sample. The expression of both.
No reference available
1 Paper Outline Specific Aim Background & Significance Research Description Potential Pitfalls and Alternate Approaches Class Paper: 5-7 pages (with figures)
A Quantitative Overview to Gene Expression Profiling in Animal Genetics Armidale Animal Breeding Summer Course, UNE, Feb Final Remarks Genetical.
13 October 2004Statistics: Yandell © Inferring Genetic Architecture of Complex Biological Processes Brian S. Yandell 12, Christina Kendziorski 13,
1 Latin Square Experimental Designs 2/5/2009 Copyright © 2009 Dan Nettleton.
Cosegregation of CAPS with Disease Phenotypes in Barley Abstract This project was designed to identify cleaved amplified polymorphic sequence (CAPS) markers.
Fusarium-Induced Shoot Elongation Correlates with Seedling Lodging Rate and Root Reduction Natural Variation in Fusarium-Induced Morphological Changes.
EQTLs.
Identification of Pathogen Defense Genes in Cereal Plants
Microarray Technology and Applications
Mapping Quantitative Trait Loci
Linking Genetic Variation to Important Phenotypes
Latin Square Experimental Designs
Anther culture for doubled haploid (DH) production
In these studies, expression levels are viewed as quantitative traits, and gene expression phenotypes are mapped to particular genomic loci by combining.
Linkage analysis and genetic mapping
How can we use science and technology to solve world food crisis. M
Split-Plot Experimental Designs
Split-Plot Experimental Designs
Expression profile of long noncoding rnas in osteoarthritis patients
Attenuated salicylic-acid-induced defense response in bt4 mutants.
Presentation transcript:

Roger Wise USDA-ARS / Iowa State University Genetical genomics of Puccinia graminis TTKS response: A systems biology approach to rapid development of durable resistance for barley and wheat Genetical genomics of Puccinia graminis TTKS response: A systems biology approach to rapid development of durable resistance for barley and wheat

Gene Expression and QTLs The treatment of transcript accumulation as a Quantitative Trait is called eQTL mapping. Loci that regulate expression of genes or networks can be: -cis-acting QTL -trans-acting QTL

Requirements Experimental population that harbors genetic variation for resistance to the pathogenExperimental population that harbors genetic variation for resistance to the pathogen [QSM DH (Q21861 x SM89010)] [QSM DH (Q21861 x SM89010)] Global gene expression profiling platformGlobal gene expression profiling platform (Affymetrix Barley1 GeneChip) (Affymetrix Barley1 GeneChip) High-throughput genotyping platformHigh-throughput genotyping platform (QSM SFPs detected by Barley1 GeneChip) (QSM SFPs detected by Barley1 GeneChip) Database (BarleyBase/PLEXdb)Database (BarleyBase/PLEXdb)

Scoring of TTKS on QSM DH mapping population 0; ; Brian Steffenson

Barley1 GeneChip 22,840 Probe Sets (22,792 + controls) Close et al. 2004, Pl Physiology 134:

Single feature Polymorphisms (Steptoe and Morex) Raw Data: Steptoe Morex Robbie Waugh 22,000 Genes X 11 Oligos X 25nt = 6,325,000 bases [ >4,000 SFPs ]

Contig3660_at Expression Level Polymorphism Matt Moscou

Experimental Design Each flat contains up to 98 cones of (6) seedlings randomly arranged among reps and inoc & mock- inoc (Harvested 24 hours after inoculation). RNA from each cone of seedlings is hybridized to its own Barley1 GeneChip. Diversity Set (12 lines) Red Trays- Inoculated Blue Trays- Mock-inoculated Dew Chamber [79 DH lines + parents] x 2 inoc. treatments x 2 reps = 340 randomized samples QSM DH population (79 lines) 12 diversity lines x 2 inoc. treatments x 6 reps [= 144 randomized samples]

Data Analysis Identify subset of genes that show differential expression between TTKS-inoculated and mock- inoculated leaves. Identify subset of genes that show differential expression between TTKS-inoculated and mock- inoculated leaves. Map the eQTL that regulate the expression of these genes. Map the eQTL that regulate the expression of these genes. Identify regulators by hierarchical analyses. Identify regulators by hierarchical analyses. A locus that regulates one or more significant disease resistance networks is an obvious target for immediate use in breeding. A locus that regulates one or more significant disease resistance networks is an obvious target for immediate use in breeding.

Expectations ,000-8,000 SFP gene markers positioned on the barley population segregating for TTKS resistance; enables QTL mapping of TTKS resistance Marker-delineated positions of the eQTL that regulate networks of disease response genes; breeders can incorporate into their germplasm Elucidation of gene expression networks responsive to TTKS infection; provides biochemical targets for further analysis Genes that possess transcriptional activation elements that allow them to respond more aggressively to TTKS infection; provides key regulators for disease response.

What do we do with all that data? (65 Mb/chip = > 30 GigaBytes)

1000 Barley1 Hybs Uploaded

USDA-ARS/ISU Rico Caldo Matt Moscou Greg Fuerst Nick Lauter Jose Rodriguez Yan Meng Pingsha Hu Liu Xi Dennis Halterman Karin Werner Brent Kronmiller BarleyBase/PLEXdb Julie Dickerson Ethy Cannon Sudhansu Dash Lu Hong Lishuang Shen Dan Nettleton USDA-ARS/UMN Yue Jin Sam Gale Les Szabo Univ. of Minnesota Brian Steffenson Stephanie Dahl Knowledge For Tomorrow’s Solutions