QTL and QTL allele validation in apple Sujeet Verma, Cameron Peace, Jim Luby, Kate Evans, Susan Brown, Matt Clark, Cari Schmitz, Yingzhu Guan, Ben Orcheski,

Slides:



Advertisements
Similar presentations
AppleApple Variety Here is a collection of Apples I found at a Local Hawaii Market.
Advertisements

Data overload – Breeding decision-support software to the rescue! S. Jung, Taein Lee, Kate Evans, Cameron Peace, Gennaro Fazio, Sushan Ru, Amy F. Iezzoni,
LOCI IMPORTANT FOR APPLE FRUIT QUALITY
Comparing the importance of fruit traits to different stakeholders: preliminary socio- economics survey results Karina Gallardo, Washington State University.
QTL and QTL allele validation in peach Ksenija Gasic 25 July 2013 ASHS Palm Desert, CA.
Plant Research Intl, Netherlands
RosBREED Never Sleeps Integration & value of international partners Amy Iezzoni, Michigan State University Cameron Peace, Washington State University.
Plant Research Intl, Netherlands
Cameron Peace, Kate Evans, Nnadozie Oraguzie, Dorrie Main, Daniel Edge-Garza, Yingzhu Guan, Murali Bellamkonda, Sujeet Verma, Eric van de Weg, Jim McFerson,
Planning breeding programs for impact
Nahla Bassil, B. Gilmore, D. Main, C. Peace, T. Mockler, L. Wilhelm, E. van de Weg, T. Davis, D. Chagne, S. Gardiner, R. Crowhurst, I. Verde, B. Sosinski,
4 TH ANNUAL ADVISORY PANEL MEEETING 10 January 2013 San Diego, California.
OBJ. 1 TRAIT AND MARKET SEGMENT BREEDING TARGET ESTABLISHMENT Year 2 Deliverables, Challenges, Year 3 Goals.
RosBREED: Using DNA Markers as a Strategy to Assure Plant Identity Nahla Bassil, Cameron Peace, Umesh Rosyara, Jim Luby and Amy Iezzoni.
MARKER ASSISTED SELECTION Individuals carrying the trait of interest are selected based on a marker which is linked to the trait and not on the trait itself.
Potato Mapping / QTLs Amir Moarefi VCR
Frary et al. Advanced Backcross QTL analysis of a Lycopersicon esculentum x L. pennellii cross and identification of possible orthologs in the Solanaceae.
Cameron Peace, Washington State University
QTL and QTL allele validation in cherry Amy Iezzoni Cameron Peace, Audrey Sebolt, Nnadozie Oraguzie, Umesh Rosyara, Travis Stegmeir 25 July 2013 ASHS Palm.
Sook Jung, Taein Lee, Stephen Ficklin, Kate Evans, Cameron Peace and Dorrie Main.
Association Mapping as a Breeding Strategy
An Introduction to the application of Molecular Markers
Qualitative and Quantitative traits
Amy Iezzoni James Luby Chengyan Yue Doreen Main Gennaro Fazio Eric van de Weg Nahla Bassil Cholani Weebadde James McFerson Cameron Peace Dept Horticulture,
How to use GDR, the Genome Database for Rosaceae Sook Jung, Stephen Ficklin, Taein Lee, Chun-Huai Cheng, Anna Blenda, Jing Yu, Sushan Ru, Kate Evans, Cameron.
DISCOVERIES AND BREEDING DATABASES FOR THE FRUIT RESEARCH COMMUNITY 1 August 2012 ASHS, Miami, Florida.
GDR, the Genome Database for Rosaceae, in Chado and Tripal Sook Jung, Stephen Ficklin, Taein Lee, Chun-Huai Cheng, Anna Blenda, Sushan Ru, Ping Zheng,
OBJ. 4 MAB PIPELINE ESTABLISHMENT & IMPLEMENTATION Year 3 Deliverables, Challenges, Year 4 Goals.
Breeding cross-pollinated crops
GENOME SCANS New QTLs discovered PBA: crop-wide PBA: breeding program Breeding markers Screening services Marker priorities Crossing scheme Trial MASS.
MSU Apple Variety Evaluation Project Philip Schwallier, William Shane, Nikki Rothwell Over 130 new varieties/strains/experimental apple selections are.
Backcross Breeding.
QTL Mapping R. M. Sundaram.
MSU Amy Iezzoni (PD) Jim Hancock Dechun Wang Cholani Weebadde WSU Cameron Peace Dorrie Main Kate Evans Karina Gallardo Vicki McCracken Nnadozie Oraguzie.
Chapter 7: Molecular markers in breeding
From Natural Diversity to Better Cultivars 10 January 2013 San Diego, California.
Ten years of GDR Current Resources and Functionality S Jung, T Lee, S Ficklin, CH Cheng, P Zheng, A Blenda, S Ru, K Evans, C Peace, N Oraguzie, AG Abbott,
New Data and Functionality of GDR, the Genome Database for Rosaceae Sook Jung, Taein Lee, Stephen Ficklin, Chun-Huai Cheng, Ping Zheng, Anna Blenda, Sushan.
ANNUAL MEETING WITH OUR ADVISORY PANEL MEMBERS 12 January 2012 San Diego, California.
Update in GDR, The Genome Database for Rosaceae S Jung, T Lee, S Ficklin, CH Cheng, I Cho, P Zheng, K Evans, C Peace, N Oraguzie, A Abbott, D Layne, M.
GENOME SCANS New QTLs discovered Breeding markers Screening services Marker priorities Crossing scheme Trial MASS Socio-economics information DNA information.
Introduction to NRSP databases and other breeding databases.
Building Database Resources For Translational Research in Rosaceae Sook Jung, Taein Lee, Stephen Ficklin, Chun-Huai Cheng, Anna Blenda, Sushan Ru, Ping.
Modes of selection on quantitative traits. Directional selection The population responds to selection when the mean value changes in one direction Here,
TRAIT & MARKET SEGMENT BREEDING TARGET ESTABLISHMENT GENOME SCANS GDR, COMPARATIVE GENOMICS New QTLs discovered PBA: crop - wide Breeding markers Screening.
Application of molecular marker technologies on cereal crops improvement Shiaoman Chao USDA-ARS, Fargo, ND.
Introducing NRSP10 Database Infrastructure for Specialty Crops Computer Applications in Horticulture/Teaching Methods Workshop ASHS Annual Conference 2015.
PROJECT OVERVIEW. Outline  The RosBREED Project  The Need for RosBREED  Major Activities  RosBREED is Underway.
MSU Amy Iezzoni (PD) Jim Hancock Dechun Wang Cholani Weebadde WSU Cameron Peace Dorrie Main Kate Evans Karina Gallardo Raymond Jussaume Vicki McCracken.
Outline of Barley CAP Approach Breeding lines from 10 breeding programs are phenotyped (over 40 traits) in collaborative trials and individual breeder.
The New Zealand Institute for Plant & Food Research Limited Red Hot Genes in apple David Chagné Mapping and markers team, Palmerston North Lidia Lozano.
Experimental Design and Data Structure Supplement to Lecture 8 Fall
Genes in human populations n Population genetics: focus on allele frequencies (the “gene pool” = all the gametes in a big pot!) n Hardy-Weinberg calculations.
INTRODUCTION TO ASSOCIATION MAPPING
2007 Melvin Tooker Animal Improvement Programs Laboratory USDA Agricultural Research Service, Beltsville, MD, USA
Finding the Right Apple Variety Quick Links > MSU apple variety trials > Old and new apple strains > History & characteristics > Index to apple varieties.
Www. geocities.com/ResearchTriangle/Forum/4463/anigenetics.gif.
February 20, 2002 UD, Newark, DE SNPs, Haplotypes, Alleles.
Software and Databases for managing and selecting molecular markers General introduction Pathway approach for candidate gene identification and introduction.
What is a QTL? Quantitative trait locus (loci) Region of chromosome that contributes to variation in a quantitative trait Generally used to study “complex.
Topic XIII: Heredity: Mendelian Genetics Day 1: Lesson Objectives Explain the principles of segregation and independent assortment Identify and explain.
STT2073 Plant Breeding and Improvement. Quality vs Quantity Quality: Appearance of fruit/plant/seed – size, colour – flavour, taste, texture – shelflife.
Apple Genetics.
The is a Critical Resource for Developing and Refining Trait-Predictive DNA Tests Cameron Peace, Daniel Edge-Garza, Terry Rowland, Paul Sandefur.
Apple Genetics.
Quantitative traits Lecture 13 By Ms. Shumaila Azam
the Genome Database for Rosaceae: New Data and Functionality
Backcross Breeding.
Genome-wide Association Studies
Apple Genetics.
Presentation transcript:

QTL and QTL allele validation in apple Sujeet Verma, Cameron Peace, Jim Luby, Kate Evans, Susan Brown, Matt Clark, Cari Schmitz, Yingzhu Guan, Ben Orcheski, Umesh Rosyara, Nahla Bassil, Eric van de Weg 25 July 2013 ASHS Palm Desert, CA

 What to Target First?  QTL Validation: LG16Ma for acidity (and crispness and other traits)  QTL Allele Validation for LG16Ma (Ma-indel DNA test)  Other Jewels for Apple Outline of Presentation

What to Target First? - deciding which of the known QTLs is worth attempting to validate for breeding

Some Apple QTLs Known Previously (focusing on Mendelian Trait Loci and QTLs with candidate genes) Vf locus – scab resistance Firmness QTL – Md-Exp7 gene Md-PG1 gene for firmness Second major acidity locus 2MBAc “Apple flavor” locus Ma locus – “high” vs “medium” acidity, also major QTL for crispness, juiciness, consumer liking, others Md-MYB1 gene for red skin vs. non-red skin Md-MYB10 gene for red flesh Md-ACS1 gene for storability etc… Md-ACO1 gene for storability

Trait Values Breeder survey 2010 Producer survey Fall Winter 2012 Market Intermediary survey Fall Winter 2011 Household data analysis 2010; consumer survey 2012 What trait is my next breeding target? We like disease resistant apple trees! I like tasty strawberries! We like firm tart cherries that pit well! Processors RosBREED’s Socio-Economics Surveys

And the survey says... What Do People Really Want in Fruit of a New Apple Cultivar?

Some Apple QTLs Known Previously Vf locus – scab resistance Firmness QTL – Md-Exp7 gene Md-PG1 gene for firmness 2MBAc “Apple flavor” locus Ma locus – “high” vs “medium” acidity, also major QTL for crispness, juiciness, consumer liking, others Md-MYB1 gene for red skin vs non-red skin Md-MYB10 gene for red flesh Md-ACS1 gene for storability Md-ACO1 gene for storability Second major acidity locus

Some Apple QTLs Known Previously Ma locus – “high” vs “medium” acidity, also major QTL for crispness, juiciness, consumer liking, others

The Ma Locus Monogenic inheritance of apple acidity (Wellington 1924), designated as Ma locus (Visser & Verhaeg 1978) Detected as a QTL (~40% phen variance) in single F 1 populations (King et al. 2001, Leibhard et al. 2003), also QTL for crispness, juiciness, and others More recently, detected as a QTL for acidity via association mapping with SNPs (Kumar et al. 2012) = Malic acid transporter gene (Xu et al. 2012, Khan et al. 2013) Ma = Malic acid Ma locus – “high” vs “medium” acidity, also major QTL for crispness, juiciness, consumer liking, others

The Ma Locus Ma = Malic acid Ma locus – “high” vs “medium” acidity, also major QTL for crispness, juiciness, consumer liking, others Is this QTL, LG16Ma, detectable in U.S. breeding germplasm? Is it associated with other socio-economically valuable traits in addition to acidity? If so, how can breeders exploit it?

QTL Validation - confirming the LG16Ma QTL really exists in apple breeding germplasm

Germplasm from 3 major U.S. breeding programs -total n = 960 -all pedigree-linked -multiple families & ancestors -chosen to represent alleles of 57 important breeding parents Fruit quality standardized phenotyping for 3 years (at harvest and after 10 & 20 wks storage) Genome scanning with 8K SNP array and a nearby SSR QTL Validation Dataset WAMNNY

QTL Validation Analysis Use Pedigree-Based Analysis software

QTL Validation Results at harvest after 10 wks storage after 20 wks storage Expected LG16Ma locus position etc. Validated position of LG16Ma for acidity! Evidence for bitter pit QTL there too Some, but less, evidence for crispness/juiciness malic acid transporter gene

QTL Validation Results LG16Ma for acidity consistent over: - storage durations - years - families - breeding programs (second acidity QTL on LG8 also consistent) Results shown for the FlexQTL™ analysis of WSU RosBREED data

QTL Validation Results So, the QTL is there, but... o What functional alleles are present in breeding germplasm? o What are the effects and value of those alleles? (alone or in combination with others) o What is their occurence? - frequencies - sources (founders, important parents) And besides with genome-scan SNPs, can all this be captured with a simple DNA test?

QTL Allele Validation - detecting and valuing LG16Ma alleles in apple breeding germplasm

Functional Alleles Present With SNP and SSR haplotyping: o 11 alleles in Washington State Univ. apple breeding program germplasm o 15 more in Univ. Minnesota and Cornell Univ. breeding germplasm Are these all functionally unique?

Effects of Functional Alleles Ma1 Ma2 Ma3 Ma4 Ma5 ma1 ma2 ma3 ma4 ma5 Titratable Acidity (TA, mEq/L) above the season average of 0.70 (2011 at harvest, WSU seedlings, n=214) xx1 For acidity, can simplify to two types: “Ma” (high acid) and “ma” (low acid) High-acid alleles Low-acid alleles

Effects of Functional Alleles Crispness rating (1-5) above season average of 2.90 (2011 at harvest, WSU seedlings, n=214) Bitter pit incidence rating (1-5) below season average of 1.50 Ma1 Ma2 Ma3 Ma4 Ma5ma1 ma2 ma3 ma4 ma5xx1 (As in other graphs, high here is good) But various effects on other traits...

Values of Functional Alleles So, each of the 11 alleles can be +ve or -ve for effect on acidity, crispness, bitter pit incid. - often trade-offs Which ones are most desirable? Overall value of each allele can be determined as socio-economic value of its relative effect on each trait

(Example of Socio-Economics Results – Market Intermediary $ Values) TraitThresholdValue* * Willingness-to-pay of market intermediaries per lb of a 42 lb box Shelf life Crispness Flavor Appearance Firmness Size $0.134 $0.129 $0.128 $0.123 $0.009 $ week not  very 3% defects 14 lb 100-count weak/mild  full/intense

Values of Functional Alleles Using $ values from RosBREED’s survey results of market intermediaries... Ma1 Ma2 Ma3 Ma4 Ma5 xx1 ma1 ma2 ma3 ma4 ma5 Bitter pit incidence Crispness Acidity Most valuable allele because of valuable contribution to all 3 traits In contrast, these only valuable for bitter pit (low incidence) High-acid alleles tend to be most valuable overall Total socio- economic value of allele

Values of Functional Alleles Strategy: recombination to get even more valuable alleles (assuming three different genes) Ma1 Ma2 Ma3 Ma4 Ma5 xx1 ma1 ma2 ma3 ma4 ma5 Bitter pit incidence Crispness Acidity Total socio- economic value of allele Can we combine best of each into a single allele?

Frequencies of Functional Alleles

ma2 ma3 ma4 ma5 ma - other Ma1 Ma2 Ma3 Ma4 Ma5 xx1 ma1 Ma - other Shown for parent pool (58 cultivars and selections) of WSU apple breeding program

Sources of Functional Alleles Shown for parent pool (58 cultivars and selections) of WSU apple breeding program Ma1 Ma2 Ma3 Ma4 Ma5 xx1 ma1 ma2 ma3 ma4 ma5 Ma - other ma - other Parents ( founder sources ) (Red Delicious, Golden Delicious) Arlet, Aurora, Arlet, Cameo, Enterprise, Fuji, Gala, Splendour, WA 2 (Granny Smith) (Lady Williams) Cripps Pink (Rome Beauty) WA5 (NJ90) WA7 (Duchess of Oldenburg) Honeycrisp Arlet, Cameo, Cripps Pink, Splendour (Golden Delicious) Honeycrisp (Frostbite) Enterprise (McIntosh) Braeburn (Lady Williams, Granny Smith) Aurora, Gala, Sansa, WA 2 (Red Delicious)

Simple Locus-Specific DNA Test All previous effects, values, frequencies were defined by 8K-array SNP haplotypes Converted to a simple PCR marker – “Ma-indel” – captured most information Can now use in high-throughput MAB Already used to screen many parents and >10,000 seedlings (WSU & UMN) in spring 2013

Ma-indel DNA Test: a “Jewel in the Apple Genome”

Other Jewels for Apple

Other Apple Jewels Available Now

The LG8A Locus LG16Ma : additivity LG8A : partial dominance Together : some epistasis  Best to consider together 7 Med- High 9 Very High 6 High Relative acidity level 8 High 5 Med- High 1 Very Low 3 Low 2 Med. 4 Med at-harvest TA All WSU populations 9 = 0.94 ± = 0.67 ± = 0.67 ± = 0.53 ± = 0.43 ±0.09 Cat TA ±sd – as big as LG16Ma for acidity

The Bp13 Locus – combines well with Bp16 (Ma) Homozygous “high” for both loci Homozygous “high” for Bp16 (Ma) Homozygous “high” for Bp13 Not homozygous for either locus

Cover amount over apple skin surface Allele & Genotype frequencies in 192 U.S. cvsrf Rf rfrf RfRf Rfrf probability The Rf locus – skin color amount, type, hue

Both genes - additive Md-ACS1 & Md-ACO1 - the ethylene synthesis genes Change in firmness (Newtons, M2 of Mohr Digi-Test) from harvest to 20 weeks storage plus 1 week at room temperature some softening more softening ACS:FF FF FF FN FN FN ACO:NN FN FF NN FN FF FF FN NN ACS1ACO1 allele frequencies in U.S. cultivars No N/N N/N U.S. cultivars found F=favorable N=non-favorable ACS1 ACO1

Md-ACS1 & Md-ACO1

Md-ACS1 & Md-ACO1

Apple Jewels = QTLs & Their Alleles Validated, with DNA Tests Developed...and Used in MAB

Acknowledgements This project is supported by the Specialty Crop Research Initiative of USDA’s National Institute of Food and Agriculture

MSU Amy Iezzoni (PD) Jim Hancock Dechun Wang Cholani Weebadde WSU Cameron Peace Dorrie Main Kate Evans Karina Gallardo Vicki McCracken Nnadozie Oraguzie Former WSU Raymond Jussaume Mykel Taylor Cornell Susan Brown Kenong Xu Clemson Ksenija Gasic Gregory Reighard Texas A&M Dave Byrne Univ. of CA-Davis Tom Gradziel Carlos Crisosto Univ. of New Hamp. Tom Davis Univ. of Minnesota Jim Luby Chengyan Yue Oregon State Univ. Alexandra Stone Plant Research Intl, Netherlands Eric van de Weg Marco Bink USDA-ARS Nahla Bassil Gennaro Fazio Chad Finn Univ. of Arkansas John Clark