Fig. S1 The non-metric multi-dimensional scaling of 24 double haploid (DH) lines (colored in grey) in the background of 225 DH lines (colored in blue)

Slides:



Advertisements
Similar presentations
A quantitative trait locus not associated with cognitive ability in children: a failure to replicate Hill, L. et al.
Advertisements

Planning breeding programs for impact
Frary et al. Advanced Backcross QTL analysis of a Lycopersicon esculentum x L. pennellii cross and identification of possible orthologs in the Solanaceae.
Resistance to powdery mildew in wheat germplasm with different resistance sources L. M. Miranda, J. P. Murphy, D. S. Marshall and S.Leath NC STATE UNIVERSITY.
Association Mapping as a Breeding Strategy
Identification of markers linked to Selenium tolerance genes
An Introduction to the application of Molecular Markers
Qualitative and Quantitative traits
Pepper Mapping & Major Genes Mapping of chlorophyll retainer (cl) mutation in pepper The Pun1 gene for pungency QTL mapping for fruit size and shape.
Crop water deficits and winter wheat plant height: Integration of field experiments and modeling. G.S. McMaster 1, G.W. Buchleiter 1, M. Moragues 2, S.D.
Phenotypic Structure of Grain Size and Shape Variation in M5 mutant lines of spring wheat Kenzhebayeva Saule, Kazakh National University named after al-Farabi,
Chapter 9: Genetic linkage and maps in breeding applications
QTL Mapping R. M. Sundaram.
A Look into the Process of Marker Development Matt Robinson.
The role of parallel genetic changes in domestication: Fruit size in the plant family Solanaceae Matt Robinson.
Identification of Elemental Processes Controlling Genetic Variation in Soybean Seed Composition José L. Rotundo, Silvia Cianzio & Mark Westgate Iowa State.
Figure S2. Genetic maps and QTL locations for ‘Beihong’ (BH, maternal parent) × and ‘E.S ’ (ES, paternal parent). Markers are listed to the right.
Natural Variation in Arabidopsis ecotypes. Using natural variation to understand diversity Correlation of phenotype with environment (selective pressure?)
Multifactorial Traits
Genetic Mapping Oregon Wolfe Barley Map (Szucs et al., The Plant Genome 2, )
Title: Genetic analysis of Soil-borne cereal mosaic virus response in durum wheat: Evidence for the role of the major QTL QSbm.ubo-2BS and of minor QTLs.
Announcements: Proposal resubmission deadline 4/23 (Thursday).
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.
Complex Traits Most neurobehavioral traits are complex Multifactorial
Quantitative Genetics
QTL Associated with Maize Kernel Traits among Illinois High Oil × B73 Backcross-Derived Lines By J.J. Wassom, J.C. Wong, and T.R. Rocheford University.
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.
Supplementary material Article title: Chromosomal locations of a gene underlying heat-accelerated brown spot formation and its suppressor genes in rice.
PT Sampoerna Agro Tbk Sampoerna Strategic Square North Tower, 28th Floor Jl. Jend. Sudirman Kav. 45 Jakarta, Indonesia,12930 Development of Marker Assisted.
MOLECULAR MAPPING OF LEAF CUTICULAR WAXES IN WHEAT S. MONDAL, R.E. MASON, F. BEECHER AND D.B.HAYS TEXAS A& M UNIVERSITY, DEPT. OF SOIL & CROP SCIENCES,
CASE7——RAD-seq for Grape genetic map construction
Pedagogical Objectives Bioinformatics/Neuroinformatics Unit Review of genetics Review/introduction of statistical analyses and concepts Introduce QTL.
Fig. S1 Figure S1. Multiple alignment of the selected OSC sequences from Barbarea vulgaris and Arabidopsis thaliana, using the software Muscle; this alignment.
Chapter 22 - Quantitative genetics: Traits with a continuous distribution of phenotypes are called continuous traits (e.g., height, weight, growth rate,
Aegilops speltoides Ph1 suppressors Practical utility for wheat
Mobilization of Stem Reserves in Diploid, Tetraploid, and Hexaploid Wheat B. Ehdaie, G.A. Alloush and J.G. Waines Department of Botany and Plant Sciences,
High resolution QTL mapping in genotypically selected samples from experimental crosses Selective mapping (Fig. 1) is an experimental design strategy for.
Genetics of Gene Expression BIOS Statistics for Systems Biology Spring 2008.
Association Mapping in European Winter Wheat
Genetic mapping and QTL analysis - JoinMap and QTLNetwork -
Active Lecture PowerPoint ® Presentation for Essentials of Genetics Seventh Edition Klug, Cummings, Spencer, Palladino Copyright © 2010 Pearson Education,
Fig. 1 Location of QTLs for yield and the yield components ears per plant (E), grains per ear (G), and TGW (T) on chromosome 7A from 27 (site×year×treatment)
Remobilization of the carbohydrates across parts of the wheat internode to the grain yield during the grain filling of dry land in China XP DENG1, W.
Supplemental Figure 1 A) B) C)
WSC remobilization to grain under drought in wheat
Exam #3 W 12/5 at 7-8:30pm in ETC for the 9am class and ECJ 1
Mapping Quantitative Trait Loci
Genome-wide Association Studies
Cholesterol Gallstone Susceptibility Loci: A Mouse Map, Candidate Gene Evaluation, and Guide to Human LITH Genes  Malcolm A. Lyons, Henning Wittenburg 
Homework #4 is due 12/4/07 (only if needed)
Brief description of results on genomic selection of CIMMYT maize in Africa (Yoseph Beyene et al.) Several populations each with 200 F2 x tester individuals.
EpiQTL mapping of glucosinolate mean and CV
Michael Cullen, Stephen P
cpDNAs with large deletions accumulate in cptk1 mutants.
Volume 7, Issue 4, Pages (April 2001)
Volume 3, Issue 2, Pages (March 2010)
Linkage analysis and genetic mapping
A major QTL for Cd grain uptake detected in the D041735 × Divide durum wheat population across two locations (Langdon and Prosper, ND, indicated with the.
Size Polymorphisms in the Human Ultrahigh Sulfur Hair Keratin-Associated Protein 4, KAP4, Gene Family  Naoyuki Kariya, Yutaka Shimomura, Masaaki Ito 
Schematic diagrams of genomic structure, the strategy for genomic cDNA cloning, and molecular characterization of unique features of three emergent U.S.
Heat map of additive effects for PCs QTL
Yaoyu Chen, Jarod Rollins, Beverly Paigen, Xiaosong Wang 
Genome-wide analysis of hepatic fibrosis in inbred mice identifies the susceptibility locus Hfib1 on chromosome 15  Sonja Hillebrandt, Claudia Goos, Siegfried.
An AT-Rich Sequence in Human Common Fragile Site FRA16D Causes Fork Stalling and Chromosome Breakage in S. cerevisiae  Haihua Zhang, Catherine H. Freudenreich 
Flowering-time QTL in crosses of Lz-0 with Ler and Col.
Genetic dissection of the effect of chromosomes 2 and 3 on progeny number from D. virilis–D. americana crosses. Genetic dissection of the effect of chromosomes.
Fig. 4 Sequence divergence based on RAD sequences in five scaffolds containing genital QTL candidate genes between parapatric species with diverged genital.
Fine mapping of SRT1. Fine mapping of SRT1. To fine map the SRT1 locus, we compared the sequencing data and developed a set of InDel markers in the 5 Mb.
Volume 9, Issue 2, Pages (February 2002)
Presentation transcript:

Fig. S1 The non-metric multi-dimensional scaling of 24 double haploid (DH) lines (colored in grey) in the background of 225 DH lines (colored in blue) of wheat Triticum aestivum varieties, Westonia and Kauz, based on 195 simple sequence repeat (SSR) markers and two Rht1-B1 and Rht2-D1 gene markers (2011). Points that are close together represent samples that are genetically similar, while points that are far apart are genetically divergent. In 2012, 21 DH lines were repeated. *W, Westonia; K, Kauz. Supporting Information Figs S1–S10 & Table S1

Fig. S2 Volumetric soil water content (v/v, %) at 10, 30 and 50 cm depth, respectively, in drought experiments at Merredin field station in 2011 and The average of the days after anthesis of all lines is presented. Closed circles, irrigated conditions; open circles, drought conditions. The vertical bars represent SE. Values with the same letter are statistically not different at P = 0.05.

Fig. S3 The average reduction in core phenotypes. Grain weight per main spike (GW), thousand grain weight (TGW) and seed number per main spike (KN) are shown in pooled selected double haploid (DH) lines and their parental lines (wheat Triticum aestivum varieties, Westonia and Kauz) under irrigated (closed bars) and drought (open bars) conditions at Merredin field station in 2011 and The vertical bars represent SE. Values with the different letter are significantly different at P = 0.05.

Fig. S4 The accumulation and degradation of stem WSC components in wheat Triticum aestivum variety, Kauz under drought and irrigated conditions from d post anthesis (DPA). KD1-3, Kauz in three replicates under drought; KI1-3,Kauz in three replicates under well-watered conditions. 1, -4 DPA; 2, 3 DPA; 3, 11 DPA; 4, 17 DPA; 5, 25 DPA; 6, 31 DPA; 7, 41 DPA.

Fig. S5 The patterns of stem (sheath included) sucrose (a) and glucose (b) concentrations in wheat Triticum aestivum varieties, Westonia and Kauz under irrigated and drought conditions. The vertical bars represent SE. Values with the same letter are statistically not different at P = (a) (b)

Fig. S6 The correlation of stem (sheath included) bifurcose concentration and 1-FEH enzyme activities between 0-35 DPA (a) and 6-kestose concentrations and 6-FEH activities between DPA (b) in wheat Triticum aestivum varieties, Westonia (circles) and Kauz (diamonds), respectively, under irrigated and drought conditions. (a) (b)

Fig. S7 The fragments of 1-FEH w3 were amplified from wheat Triticum aestivum varieties, Westonia and Kauz with an upstream primer pair (FEH2F/FEHw3R, a), a downstream primer pair (FEHw3F/FEH2151R, b), and a 3’terminal primer pair (FEH4690F/6BPR, c). Nulli-tetra lines (N6AT6D, N6BT6A, N6DT6B) from wheat T. aestivum varieties, Chinese Spring were used for confirming the fragment location. Chinese Spring was used as a positive control and ck as a negative control. M, standard marker.

Fig. S8 The promoter region amplification of 1-FEH w3. (a) 1-FEH genes isolated from bread wheat chromosomes 6A, 6B and 6D (Zhang et al., 2008). The primers used are indicated by arrows ( see also Table S1). (b) Amplification of the promoter region of 1-FEH w1 (6A) from wheat Triticum aestivum variety, Chinese Spring (CS) and nulli (N)-tetra (T) stocks of Chinese Spring (N6AT6D, N6BT6A, N6DT6B). Absence of amplification in N6AT6D indicates that the primer pair was specific for 1-FEH w1 on the 6A chromosomes. (c) Amplification of the promoter region of 1-FEH w3 on 6B using wheat Triticum aestivum L. varieties, Westonia and Kauz and (d) on the nulli-tetra lines of N6AT6D, N6BT6A and N6DT6B. The results indicate that the amplified fragment originates from chromosome 6B. ck, negative control; M, standard marker.

Fig. S9 The QTL location of height, thousand grain weight (TGW) and peduncle proportion detected on 6B in the genetic linkage map of the 225 DH population of wheat Triticum aestivum varieties, Westonia/Kauz. Mapped markers are indicated on the right and their corresponding genetic distances (cM) are indicated on the left. Quantitative trait loci (QTL) confidence interval with an F-value over the threshold is by vertical bar.

Fig. S10 Evolution of stem (sheath included) 6-kestose concentrations (a) and 6-FEH activities (b) in wheat Triticum aestivum varieties, Westonia and Kauz under irrigated and drought conditions. The vertical bars represent SE. Values with the same letter are statistically not different at P = 0.05.

References Zhang J, Huang S, Fosu-Nyarko J, Dell B, McNeil M, Waters I, Moolhuijzen P, Conocono E, Appels R The genome structure of the 1-FEH genes in wheat (Triticum aestivum L.): new markers to track stem carbohydrates and grain filling QTLs in breeding. Molecular Breeding 22(3):