Distribution of DArT, AFLP, and SSR markers in a genetic linkage map of a doubled-haploid hexaploid wheat population

Genome ◽  
2006 ◽  
Vol 49 (5) ◽  
pp. 545-555 ◽  
Author(s):  
Kassa Semagn ◽  
Åsmund Bjørnstad ◽  
Helge Skinnes ◽  
Anne Guri Marøy ◽  
Yalew Tarkegne ◽  
...  
Keyword(s):  
Ssr Markers ◽  
Segregation Distortion ◽  
Doubled Haploid ◽  
Genetic Linkage ◽  
Triticum Aestivum L ◽  
Wheat Breeding ◽  
Leaf Segment ◽  
Dart Markers ◽  
Head Blight ◽  
Diversity Arrays Technology

A genetic linkage mapping study was conducted in 93 doubled-haploid lines derived from a cross between Triticum aestivum L. em. Thell 'Arina' and a Norwegian spring wheat breeding line, NK93604, using diversity arrays technology (DArT), amplified fragment length polymorphism (AFLP), and simple sequence repeat (SSR) markers. The objective of this study was to understand the distribution, redundancy, and segregation distortion of DArT markers in comparison with AFLP and SSR markers. The map contains a total of 624 markers with 189 DArTs, 165 AFLPs and 270 SSRs, and spans 2595.5 cM. All 3 marker types showed significant (p < 0.01) segregation distortion, but it was higher for AFLPs (24.2%) and SSRs (22.6%) than for DArTs (13.8%). The overall segregation distortion was 20.4%. DArTs showed the highest frequency of clustering (27.0%) at < 0.5 cM intervals between consecutive markers, which is 3 and 15 times higher than SSRs (8.9%) and AFLPs (1.8%), respectively. This high proportion of clustering of DArT markers may be indicative of gene-rich regions and (or) the result of inclusion of redundant clones in the genomic representations, which was supported by the presence of very high correlation coefficients (r > 0.98) and multicollinearity among the clustered markers. The present study is the first to compare the utility of DArT with AFLP and SSR markers, and the present map has been successfully used to identify novel QTLs for resistance to Fusarium head blight and powdery mildew and for anther extrusion, leaf segment incubation, and latency.Key words: 'Arina', diversity arrays technology, double haploid, genetic map, marker clustering, microsatellite.

scholarly journals Fusarium ratings in Ontario winter wheat performance trial (OWWPT) using an index that combines Fusarium head blight symptoms and deoxynivalenol levels

2011 ◽  
Vol 47 (Special Issue) ◽  
pp. S115-S122 ◽  
Author(s):  
L. Tamburic-Ilincic ◽  
D. Falk ◽  
A. Schaafsma
Keyword(s):  
Winter Wheat ◽  
Fusarium Head Blight ◽  
Triticum Aestivum L ◽  
Wheat Breeding ◽  
Head Blight ◽  
Sources Of Resistance ◽  
Selection Decisions ◽  
Grain Yield And Quality ◽  
Moderately Resistant ◽  
Performance Trial

Fusarium head blight (FHB) is one of the most serious diseases of wheat (Triticum aestivum L.). FHB&nbsp;reduces grain yield and quality, and the fungus produces mycotoxins, such as deoxynivalenol (DON). The most practical way to control FHB is through the development of resistant cultivars. In addition to exotic sources of resistance (such as cultivars Sumai 3 and Frontana), native sources of resistance are commonly used in winter wheat breeding programs in North America. In 1996, 2000, and 2004 severe epidemics of FHB cost the winter wheat industry in Ontario, Canada combined over $200 million. All wheat grown in Ontario is entered in the Ontario Winter Wheat Performance Trial (OWWPT) and tested every year for Fusarium resistance and DON&nbsp;level in three inoculated FHB nurseries. The objective of this study is to explain how the index that accounts for FHB&nbsp;symptoms and DON level jointly was developed, and how stable the performance of the cultivars grouped to susceptibility classes has been over a number of years. The index is related to Fusarium susceptibility classes (moderately resistant &ndash; MR, moderately susceptible &ndash; MS, susceptible &ndash; S and highly susceptible &ndash; HS), robust, stable, open-ended (old cultivars out, new cultivars in) and useful to farmers in making cultivars selection decisions. This information is available to growers and industry through the website www.gocereals.ca.

Multiplexed PCR to screen for a major QTL carrying fusarium head blight resistance in Sumai-3 wheat

2006 ◽  
Vol 86 (3) ◽  
pp. 711-716 ◽  
Author(s):  
M. A. Matus-Cádiz ◽  
C. J. Pozniak ◽  
G. R. Hughes ◽  
P. Hucl
Keyword(s):  
Fusarium Head Blight ◽  
Fusarium Head Blight Resistance ◽  
Triticum Aestivum L ◽  
Wheat Breeding ◽  
Head Blight ◽  
Breeding Lines ◽  
Multiplexed Pcr ◽  
Trait Locus ◽  
Advanced Generation ◽  
Sumai 3

After the initial identification of microsatellites linked to economically important traits of interest, the additional investment to simplify the screening procedure for more routine use is of interest to plant breeders. The objective was to simplify an acrylamide gel based marker-assisted selection (MAS) method to facilitate high-through put screening for Qfhs.ndsu-3BS, a major quantitative trait locus carrying fusarium head blight (FHB) resistance in Sumai-3 wheat (Triticum aestivum L.). Method simplifications included incorporating the use of (1) 96-well DNA extractions, (2) multiplexed PCR reactions using microsatellite primers gwm493 and gwm533, and (3) agarose gels. Our modified FHB-MAS method was verified by screening six resistant (Sumai-3, ND2710, McVey, BacUp, HY644, and Alsen) and 52 susceptible parents and subsequently used to screen 5567 common wheat breeding lines developed from Sumai-3 derivatives. This simple and rapid method allows for the screening of 1000 lines per week, which can be used to skew segregating populations towards more resistant types and thereby advance primarily early and advanced generation lines that carry at least the major FHB QTL. Key words: PCR, Fusarium, microsatellites, gwm493, gwm533, Triticum

Resistance-related metabolites in wheat against Fusarium graminearum and the virulence factor deoxynivalenol (DON)

Botany ◽  
2008 ◽  
Vol 86 (10) ◽  
pp. 1168-1179 ◽  
Author(s):  
V. Paranidharan ◽  
Y. Abu-Nada ◽  
H. Hamzehzarghani ◽  
A. C. Kushalappa ◽  
O. Mamer ◽  
...  
Keyword(s):  
Plant Defense ◽  
Fusarium Graminearum ◽  
Virulence Factor ◽  
Triticum Aestivum L ◽  
Wheat Breeding ◽  
Gas Chromatography Mass Spectrometry ◽  
Signal Molecules ◽  
Head Blight ◽  
Breeding Lines ◽  
Antimicrobial Metabolites

Inoculation with the virulence factor deoxynivalenol (DON) can induce disease symptoms in wheat ( Triticum aestivum L.) spikelets, even though it is not needed for the initial invasion by Fusarium graminearum Schwabe, thus the mechanism of plant defense against both the pathogen and DON, was investigated. Wheat cultivars that are resistant (‘Sumai3’) or susceptible (‘Roblin’) to fusarium head blight (FHB) were inoculated with F. graminearum, DON, or water. Inoculated spikelets were harvested 48 h after inoculation, the metabolites were extracted in methanol–water and chloroform, then derivatized and analyzed by gas chromatography – mass spectrometry. The metabolite peaks were deconvoluted and identified by manually matching the mass spectra with those in the NIST and GMD libraries. The peaks were aligned, and abundances were measured. A total of 117 metabolites were tentatively identified, including several antimicrobial metabolites and signal molecules or their precursors. Out of these 117 metabolites, 15 and 18 were identified as possible resistance-related (RR) metabolites, following F. graminearum (RRIF) and DON (RRID) inoculations, respectively, with 4 metabolites common to both. Canonical discriminant analysis of marginally significant metabolites (105) identified those with constitutive and induced resistance functions. The metabolites with high canonical loading to the canonical vectors were used to explain these functions. The putative roles of these RR metabolites in plant defense, their metabolic pathways, and their potential application for screening of wheat breeding lines for resistance to FHB are discussed.

scholarly journals Diversity arrays technology (DArT) markers in apple for genetic linkage maps

2011 ◽  
Vol 29 (3) ◽  
pp. 645-660 ◽  
Author(s):  
Henk J. Schouten ◽  
W. Eric van de Weg ◽  
Jason Carling ◽  
Sabaz Ali Khan ◽  
Steven J. McKay ◽  
...  
Keyword(s):  
Genetic Linkage ◽  
Dart Markers ◽  
Linkage Maps ◽  
Diversity Arrays Technology ◽  
Genetic Linkage Maps

Segregation of glutenins in wheat × maize-derived doubled haploid wheat populations

1998 ◽  
Vol 49 (8) ◽  
pp. 1253 ◽  
Author(s):  
Stephen J. Kammholz ◽  
Raechelle A. Grams ◽  
Phillip M. Banks ◽  
Mark W. Sutherland
Keyword(s):  
Doubled Haploid ◽  
Triticum Aestivum L ◽  
Segregation Ratio ◽  
Wheat Breeding ◽  
Chi Square ◽  
Mendelian Segregation ◽  
Allele Distribution ◽  
Australian Wheat ◽  
Group 1 Chromosomes ◽  
Chi Square Analysis

The segregation of both high and low molecular weight glutenin subunits across 7 F1 wheat (Triticum aestivum L.) × maize (Zea mays L.) derived doubled haploid populations was examined. The F1 wheats used in each population were produced from parents of interest to Australian wheat breeding programs. The parents varied by up to 5 glutenin subunit loci. Examination of subunits individually within each population using a chi-square analysis revealed that all but 2 of the 26 pairs of alleles analysed fitted the expected 1 : 1 segregation ratio. Glutenin profiles were examined for each cross individually and all but one (Sonalika/Hartog) fitted the expected Mendelian segregation pattern. The analysis of allele distribution of the 6 glutenin loci across all 7 crosses showed all falling well within expected segregation ratios. Closer examination of parental lines and populations revealed irregularities which conflict with original assumptions and provide a valid explanation for the few segregation distortions observed. It is concluded that wheat × maize-derived doubled haploid populations represent a unbiased assortment of parental gametes on both arms of Group 1 chromosomes.

scholarly journals Expression Patterns of miR398, miR167, and miR159 in the Interaction between Bread Wheat (Triticum aestivum L.) and Pathogenic Fusarium culmorum and Beneficial Trichoderma Fungi

Pathogens ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1461
Author(s):  
Sylwia Salamon ◽  
Julia Żok ◽  
Karolina Gromadzka ◽  
Lidia Błaszczyk
Keyword(s):  
Triticum Aestivum ◽  
Bread Wheat ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Fusarium Culmorum ◽  
Triticum Aestivum L ◽  
Digital Pcr ◽  
Wheat Breeding ◽  
Head Blight

Bread wheat (Triticum aestivum L.) is an agronomically significant cereal cultivated worldwide. Wheat breeding is limited by numerous abiotic and biotic stresses. One of the most deleterious factors is biotic stress provoked by the Fusarium culmorum fungus. This pathogen is a causative agent of Fusarium root rot and Fusarium head blight. Beneficial fungi Trichoderma atroviride and T. cremeum are strong antagonists of mycotoxigenic Fusarium spp. These fungi promote plant growth and enhance their tolerance of negative environmental conditions. The aim of the study was to determine and compare the spatial (in above- and underground organs) and temporal (early: 6 and 22 hpi; and late: 5 and 7 dpi reactions) expression profiles of three mature miRNAs (miR398, miR167, and miR159) in wheat plants inoculated with two strains of F. culmorum (KF846 and EW49). Moreover, the spatial expression patterns in wheat response between plants inoculated with beneficial T. atroviride (AN35) and T. cremeum (AN392) were assessed. Understanding the sophisticated role of miRNAs in wheat–fungal interactions may initiate a discussion concerning the use of this knowledge to protect wheat plants from the harmful effects of fungal pathogens. With the use of droplet digital PCR (ddPCR), the absolute quantification of the selected miRNAs in the tested material was carried out. The differential accumulation of miR398, miR167, and miR159 in the studied groups was observed. The abundance of all analyzed miRNAs in the roots demonstrated an increase in the early and reduction in late wheat response to F. culmorum inoculation, suggesting the role of these particles in the initial wheat reaction to the studied fungal pathogen. The diverse expression patterns of the studied miRNAs between Trichoderma–inoculated or F. culmorum–inoculated plants and control wheat, as well as between Trichoderma–inoculated and F. culmorum–inoculated plants, were noticed, indicating the need for further analysis.

scholarly journals Optimizing Training Population Size and Content to Improve Prediction Accuracy of FHB-Related Traits in Wheat

Agronomy ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 543
Author(s):  
Emmanuel Adeyemo ◽  
Prabin Bajgain ◽  
Emily Conley ◽  
Ahmad Sallam ◽  
James Anderson
Keyword(s):  
Genomic Selection ◽  
Predictive Ability ◽  
Triticum Aestivum L ◽  
Wheat Breeding ◽  
Stratified Sampling ◽  
Head Blight ◽  
Training Population ◽  
Large Size ◽  
Fhb Resistance ◽  
The Impact

Genomic selection combines phenotypic and molecular marker data from a training population to predict the genotypic values of untested lines. It can improve breeding efficiency as large pools of untested lines can be evaluated for selection. Training population (TP) composition is one of the most important factors affecting the accuracy of genomic prediction. The University of Minnesota wheat breeding program implements genomic selection at the F5 stage for Fusarium head blight (FHB) resistance. This study used field data for FHB resistance in wheat (Triticum aestivum L.) to investigate the use of small-size TPs designed with and without stratified sampling for three FHB traits in three different F5 populations (TP17, TP18, and TP19). We also compared the accuracies of these two TP design methods with the accuracy obtained from a large size TP. Lastly, we evaluated the impact on trait predictions when the parents of F5 lines were included in the TP. We found that the small size TP selected randomly, without stratification, had the lowest predictive ability across the three F5 populations and across the three traits. This trend was statistically significant (p = 0.05) for all three traits in TP17 and two traits in TP18. Designing a small-size TP by stratified sampling led to a higher accuracy than a large-size TP in most traits across TP18 and TP19; this is because stratified sampling allowed the selection of a small set of closely related lines. We also observed that the addition of parental lines to the TP and evaluating the TP in two replications led to an increase in predictive abilities in most cases.

Genetic Contribution of Introduced Varieties to Wheat Breeding in China Evaluated Using SSR Markers

2009 ◽  
Vol 35 (5) ◽  
pp. 778-785 ◽  
Author(s):  
Xiao-Jun LI ◽  
Xin XU ◽  
Wei-Hua LIU ◽  
Xiu-Quan LI ◽  
Xin-Ming YANG ◽  
...  
Keyword(s):  
Ssr Markers ◽  
Wheat Breeding ◽  
Genetic Contribution

scholarly journals Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nicole Pretini ◽  
Leonardo S. Vanzetti ◽  
Ignacio I. Terrile ◽  
Guillermo Donaire ◽  
Fernanda G. González
Keyword(s):  
Doubled Haploid ◽  
Marker Assisted Selection ◽  
Triticum Aestivum L ◽  
Physiological Model ◽  
Yield Potential ◽  
Breeding Programs ◽  
Per Se ◽  
Genomic Regions ◽  
Fertility Traits ◽  
Selection Of

Abstract Background In breeding programs, the selection of cultivars with the highest yield potential consisted in the selection of the yield per se, which resulted in cultivars with higher grains per spike (GN) and occasionally increased grain weight (GW) (main numerical components of the yield). In this study, quantitative trait loci (QTL) for GW, GN and spike fertility traits related to GN determination were mapped using two doubled haploid (DH) populations (Baguette Premium 11 × BioINTA 2002 and Baguette 19 × BioINTA 2002). Results In total 305 QTL were identified for 14 traits, out of which 12 QTL were identified in more than three environments and explained more than 10% of the phenotypic variation in at least one environment. Eight hotspot regions were detected on chromosomes 1A, 2B, 3A, 5A, 5B, 7A and 7B in which at least two major and stable QTL sheared confidence intervals. QTL on two of these regions (R5A.1 and R5A.2) have previously been described, but the other six regions are novel. Conclusions Based on the pleiotropic analysis within a robust physiological model we conclude that two hotspot genomic regions (R5A.1 and R5A.2) together with the QGW.perg-6B are of high relevance to be used in marker assisted selection in order to improve the spike yield potential. All the QTL identified for the spike related traits are the first step to search for their candidate genes, which will allow their better manipulation in the future.

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