4.6 Article

High density genetic mapping of Fusarium head blight resistance QTL in tetraploid wheat

Journal

PLOS ONE
Volume 13, Issue 10, Pages -

Publisher

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0204362

Keywords

-

Funding

  1. Agriculture and Agri-Food Canada
  2. Agriculture Development Fund (ADF) of the Government of Saskatchewan
  3. Canadian Wheat Improvement Flaghip Program, as part of the National Research Council of Canada's

Ask authors/readers for more resources

Breeding for Fusarium head blight (FHB) resistance in durum wheat is complicated by the quantitative trait expression and narrow genetic diversity of available resources. High-density mapping of the FHB resistance quantitative trait loci (QTL), evaluation of their co-localization with plant height and maturity QTL and the interaction among the identified QTL are the objectives of this study. Two doubled haploid (DH) populations, one developed from crosses between Triticum turgidum ssp. durum lines DT707 and DT696 and the other between T. turgidum ssp. durum cv. Strongfield and T. turgidum ssp. carthlicum cv. Blackbird were genotyped using the 90K Infinium iSelect chip and evaluated phenotypically at multiple field FHB nurseries over years. A moderate broad-sense heritability indicated a genotype-by-environment interaction for the expression of FHB resistance in both populations. Resistance QTL were identified for the DT707 x DT696 population on chromosomes 1B, 2B, 5A (two loci) and 7A and for the Strongfield x Blackbird population on chromosomes 1A, 2A, 2B, 3A, 6A, 6B and 7B with the QTL on chromosome 1 A and those on chromosome 5A being more consistently expressed over environments. FHB resistance co-located with plant height and maturity QTL on chromosome 5A and with a maturity QTL on chromosome 7A for the DT707 x DT696 population. Resistance also co-located with plant height QTL on chromosomes 2A and 3A and with maturity QTL on chromosomes 1A and 7B for the Strongfield x Blackbird population. Additive x additive interactions were identified, for example between the two FHB resistance QTL on chromosome 5A for the DT707 x DT696 population and the FHB resistance QTL on chromosomes 1A and 7B for the Strongfield x Blackbird population. Application of the Single Nucleotide Polymorphic (SNP) markers associated with FHB resistance QTL identified in this study will accelerate combining genes from the two populations.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Multidisciplinary Sciences

Mapping quantitative trait loci associated with leaf rust resistance in five spring wheat populations using single nucleotide polymorphism markers

Firdissa E. Bokore, Ron E. Knox, Richard D. Cuthbert, Curtis J. Pozniak, Brent D. McCallum, Amidou N'Diaye, Ron M. DePauw, Heather L. Campbell, Catherine Munro, Arti Singh, Colin W. Hiebert, Curt A. McCartney, Andrew G. Sharpe, Asheesh K. Singh, Dean Spaner, D. B. Fowler, Yuefeng Ruan, Samia Berraies, Brad Meyer

PLOS ONE (2020)

Article Agronomy

Genetic analyses of native Fusarium head blight resistance in two spring wheat populations identifies QTL near the B1, Ppd-D1, Rht-1, Vrn-1, Fhb1, Fhb2, and Fhb5 loci

Dinushika Thambugala, Anita L. Brule-Babel, Barbara A. Blackwell, George Fedak, Adam J. Foster, Dan MacEachern, Jeannie Gilbert, Maria Antonia Henriquez, Richard A. Martin, Brent D. McCallum, Dean Spaner, Muhammad Iqbal, Curtis J. Pozniak, Amidou N'Diaye, Curt A. McCartney

THEORETICAL AND APPLIED GENETICS (2020)

Article Genetics & Heredity

Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry

Mariaelisa Graff, Anne E. Justice, Kristin L. Young, Eirini Marouli, Xinruo Zhang, Rebecca S. Fine, Elise Lim, Victoria Buchanan, Kristin Rand, Mary F. Feitosa, Mary K. Wojczynski, Lisa R. Yanek, Yaming Shao, Rebecca Rohde, Adebowale A. Adeyemo, Melinda C. Aldrich, Matthew A. Allison, Christine B. Ambrosone, Stefan Ambs, Christopher Amos, Donna K. Arnett, Larry Atwood, Elisa Bandera, Traci Bartz, Diane M. Becker, Sonja Berndt, Leslie Bernstein, Lawrence F. Bielak, William J. Blot, Erwin P. Bottinger, Donald W. Bowden, Jonathan P. Bradfield, Jennifer A. Brody, Ulrich Broeckel, Gregory Burke, Brian E. Cade, Qiuyin Cai, Neil Caporaso, Chris Carlson, John Carpten, Graham Casey, Stephen J. Chanock, Guanjie Chen, Minhui Chen, Yii-Der Chen, Wei-Min Chen, Alessandra Chesi, Charleston W. K. Chiang, Lisa Chu, Gerry A. Coetzee, David Conti, Richard S. Cooper, Mary Cushman, Ellen Demerath, Sandra L. Deming, Latchezar Dimitrov, Jingzhong Ding, W. Ryan Diver, Qing Duan, Michele K. Evans, Adeyinka G. Falusi, Jessica D. Faul, Myriam Fornage, Caroline Fox, Barry Freedman, Melissa Garcia, Elizabeth M. Gillanders, Phyllis Goodman, Omri Gottesman, Struan F. A. Grant, Xiuqing Guo, Hakon Hakonarson, Talin Haritunians, Tamara B. Harris, Curtis C. Harris, Brian E. Henderson, Anselm Hennis, Dena G. Hernandez, Joel N. Hirschhorn, Lorna Haughton McNeill, Timothy D. Howard, Barbara Howard, Ann W. Hsing, Yu-Han H. Hsu, Jennifer J. Hu, Chad D. Huff, Dezheng Huo, Sue A. Ingles, Marguerite R. Irvin, Esther M. John, Karen C. Johnson, Joanne M. Jordan, Edmond K. Kabagambe, Sun J. Kang, Sharon L. Kardia, Brendan J. Keating, Rick A. Kittles, Eric A. Klein, Suzanne Kolb, Laurence N. Kolonel, Charles Kooperberg, Lewis Kuller, Abdullah Kutlar, Leslie Lange, Carl D. Langefeld, Loic Le Marchand, Hampton Leonard, Guillaume Lettre, Albert M. Levin, Yun Li, Jin Li, Yongmei Liu, Youfang Liu, Simin Liu, Kurt Lohman, Vaneet Lotay, Yingchang Lu, William Maixner, JoAnn E. Manson, Barbara McKnight, Yan Meng, Keri L. Monda, Kris Monroe, Jason H. Moore, Thomas H. Mosley, Poorva Mudgal, Adam B. Murphy, Rajiv Nadukuru, Mike A. Nalls, Katherine L. Nathanson, Uma Nayak, Amidou N'Diaye, Barbara Nemesure, Christine Neslund-Dudas, Marian L. Neuhouser, Sarah Nyante, Heather Ochs-Balcom, Temidayo O. Ogundiran, Adesola Ogunniyi, Oladosu Ojengbede, Hayrettin Okut, Olufunmilayo Olopade, Andrew Olshan, Badri Padhukasahasram, Julie Palmer, Cameron D. Palmer, Nicholette D. Palmer, George Papanicolaou, Sanjay R. Patel, Curtis A. Pettaway, Patricia A. Peyser, Michael F. Press, D. C. Rao, Laura J. Rasmussen-Torvik, Susan Redline, Alex P. Reiner, Suhn K. Rhie, Jorge L. Rodriguez-Gil, Charles N. Rotimi, Jerome Rotter, Edward A. Ruiz-Narvaez, Benjamin A. Rybicki, Babatunde Salako, Michele M. Sale, Maureen Sanderson, Eric Schadt, Pamela J. Schreiner, Claudia Schurmann, Ann G. Schwartz, Daniel A. Shriner, Lisa B. Signorello, Andrew B. Singleton, David S. Siscovick, Jennifer A. Smith, Shad Smith, Elizabeth Speliotes, Margaret Spitz, Janet L. Stanford, Victoria L. Stevens, Alex Stram, Sara S. Strom, Lara Sucheston, Yan Sun, Salman M. Tajuddin, Herman Taylor, Kira Taylor, Bamidele O. Tayo, Michael J. Thun, Margaret A. Tucker, Dhananjay Vaidya, David J. Van den Berg, Sailaja Vedantam, Mara Vitolins, Zhaoming Wang, Erin B. Ware, Sylvia Wassertheil-Smoller, David R. Weir, John K. Wiencke, Scott M. Williams, L. Keoki Williams, James G. Wilson, John S. Witte, Margaret Wrensch, Xifeng Wu, Jie Yao, Neil Zakai, Krista Zanetti, Babette S. Zemel, Wei Zhao, Jing Hua Zhao, Wei Zheng, Degui Zhi, Jie Zhou, Xiaofeng Zhu, Regina G. Ziegler, Joe Zmuda, Alan B. Zonderman, Bruce M. Psaty, Ingrid B. Borecki, L. Adrienne Cupples, Ching-Ti Liu, Christopher A. Haiman, Ruth Loos, Maggie C. Y. Ng, Kari E. North

Summary: The study identified new height-related loci in African ancestry individuals and revealed additional signals by combining African and European GWAS data, improving the fine-mapping of potential causal variants shared between populations of African and European ancestry.

AMERICAN JOURNAL OF HUMAN GENETICS (2021)

Article Plant Sciences

Physical Mapping of QTL in Four Spring Wheat Populations under Conventional and Organic Management Systems. I. Earliness

Kassa Semagn, Muhammad Iqbal, Hua Chen, Enid Perez-Lara, Darcy H. Bemister, Rongrong Xiang, Jun Zou, Muhammad Asif, Atif Kamran, Amidou N'Diaye, Harpinder Randhawa, Curtis Pozniak, Dean Spaner

Summary: In this study, QTL associated with heading, flowering, and maturity time in four hard red spring wheat populations were mapped and characterized using the IWGSC RefSeq v2.0 physical map. A total of 44 QTL were identified, with 15 QTL common to both conventional and organic management systems, while the rest were specific to either system. Some QTL contain known genes that regulate important agronomic traits in wheat, providing a basis for further cloning and characterization.

PLANTS-BASEL (2021)

Article Plant Sciences

Mapping stem rust resistance loci effective in Kenya in Canadian spring wheat (Triticum aestivum L.) lines 'AAC Prevail' and 'BW961'

Firdissa E. Bokore, Richard D. Cuthbert, Colin W. Hiebert, Tom G. Fetch, Curtis J. Pozniak, Amidou N'Diaye, Yuefeng Ruan, Brad Meyer, Ron E. Knox

Summary: This study identified stable major and minor QTL associated with field stem rust resistance in 'AAC Prevail' and 'BW961MODIFIER LETTER PRIME', providing breeders with new information and markers to utilize these sources of stem rust resistance.

CANADIAN JOURNAL OF PLANT PATHOLOGY (2021)

Article Agronomy

Physical mapping of QTL associated with agronomic and end-use quality traits in spring wheat under conventional and organic management systems

Kassa Semagn, Muhammad Iqbal, Hua Chen, Enid Perez-Lara, Darcy H. Bemister, Rongrong Xiang, Jun Zou, Muhammad Asif, Atif Kamran, Amidou N'Diaye, Harpinder Randhawa, Brian L. Beres, Curtis Pozniak, Dean Spaner

Summary: This study identified 152 QTL and 22 QTL hotspots associated with nine agronomic and end-use quality traits in spring wheat populations. Two QTL with major effects were consistently detected in all environments, providing a strong foundation for further characterization and possibly cloning. The physical positions of these QTL offer valuable information for marker development and comparison across independent studies.

THEORETICAL AND APPLIED GENETICS (2021)

Article Agronomy

Genome-based prediction of agronomic traits in spring wheat under conventional and organic management systems

Kassa Semagn, Muhammad Iqbal, Jose Crossa, Diego Jarquin, Reka Howard, Hua Chen, Darcy H. Bemister, Brian L. Beres, Harpinder Randhawa, Amidou N'Diaye, Curtis Pozniak, Dean Spaner

Summary: This study utilized phenotype data from three spring wheat populations to assess prediction accuracies under organic and conventional management systems for seven traits. Results showed that phenotype data collected under organic management effectively predicted performance under conventional management, and vice versa, with high prediction accuracies observed.

THEORETICAL AND APPLIED GENETICS (2022)

Article Multidisciplinary Sciences

Genetic diversity and selective sweeps in historical and modern Canadian spring wheat cultivars using the 90K SNP array

Kassa Semagn, Muhammad Iqbal, Nikolaos Alachiotis, Amidou N'Diaye, Curtis Pozniak, Dean Spaner

Summary: A study using a large number of markers assessed the genetic diversity of historical and modern Canadian spring wheat varieties, revealing a high proportion of allelic redundancy and a lack of clear structure or differentiation. Different wheat classes and predicted groups exhibit diverse levels of genetic divergence, with cultivars registered from 1970 to 1980 having the highest diversity indices and those registered from 2011 to 2018 having the lowest.

SCIENTIFIC REPORTS (2021)

Article Plant Sciences

A Combination of Leaf Rust Resistance Genes, Including Lr34 and Lr46, Is the Key to the Durable Resistance of the Canadian Wheat Cultivar, Carberry

Firdissa E. Bokore, Ron E. Knox, Colin W. Hiebert, Richard D. Cuthbert, Ron M. DePauw, Brad Meyer, Amidou N'Diaye, Curtis J. Pozniak, Brent D. McCallum

Summary: Carberry is a widely grown spring wheat cultivar in Canada with high level of leaf rust resistance. The genetic basis of Carberry's resistance includes multiple genes, such as Lr46 and Lr34. Despite the evolution of virulence in the pathogen population towards other resistance genes, Carberry's resistance remains effective.

FRONTIERS IN PLANT SCIENCE (2022)

Article Agronomy

Genome-wide association mapping of agronomic traits and grain characteristics in spring wheat under conventional and organic management systems

Kassa Semagn, Muhammad Iqbal, Amidou N'Diaye, Curtis J. Pozniak, Izabela Ciechanowska, Steliana-Paula Barbu, Dean Spaner

Summary: This study used a panel of 192 spring wheat cultivars widely used in western Canada to explore allelic variation and effects of known genes, and identified genomic regions associated with agronomic traits using the IWGSC RefSeq v2.0 map.

CROP SCIENCE (2022)

Article Agronomy

Main effect and epistatic QTL affecting spike shattering and association with plant height revealed in two spring wheat (Triticum aestivum L.) populations

Firdissa E. Bokore, Richard D. Cuthbert, Ron E. Knox, Heather L. Campbell, Brad Meyer, Amidou N'Diaye, Curtis J. Pozniak, Ron DePauw

Summary: This study identified QTL associated with shattering resistance in wheat and analyzed the epistatic interactions between QTL. The results showed that QTL on chromosome arms 4BS and 5AL were associated with reduced shattering. These findings are important for understanding the inheritance of shattering resistance and developing wheat cultivars with shattering resistance.

THEORETICAL AND APPLIED GENETICS (2022)

Article Genetics & Heredity

Genomic Predictions for Common Bunt, FHB, Stripe Rust, Leaf Rust, and Leaf Spotting Resistance in Spring Wheat

Kassa Semagn, Muhammad Iqbal, Diego Jarquin, Jose Crossa, Reka Howard, Izabela Ciechanowska, Maria Antonia Henriquez, Harpinder Randhawa, Reem Aboukhaddour, Brent D. McCallum, Anita L. Brule-Babel, Alireza Navabi, Amidou N'Diaye, Curtis Pozniak, Dean Spaner

Summary: This study investigated the application of genomic selection in major diseases of spring wheat and compared the impact of different models on prediction accuracies. The results showed that the M3 model, which incorporated GE interactions, outperformed the M2 model in reducing residual variance and improving prediction accuracies.

GENES (2022)

Review Agronomy

Breeding oat for resistance to the crown rust pathogen Puccinia coronata f. sp. avenae: achievements and prospects

R. F. Park, W. H. P. Boshoff, A. L. Cabral, J. Chong, J. A. Martinelli, M. S. McMullen, J. W. Mitchell Fetch, E. Paczos-Grzeda, E. Prats, J. Roake, S. Sowa, L. Ziems, D. Singh

Summary: Crown rust, caused by Puccinia coronata f. sp. avenae (Pca), is a significant obstacle to oat production worldwide. Understanding the allelic relationships and chromosomal locations of resistance genes in oat is still limited. The high variability of Pca necessitates strategies to control the disease considering a large and diverse pathogen population. Pyramiding multiple resistance genes could enhance resistance levels.

THEORETICAL AND APPLIED GENETICS (2022)

Article Plant Sciences

The coordinated regulation of early meiotic stages is dominated by non-coding RNAs and stage-specific transcription in wheat

Yunfei Jiang, Amidou N'Diaye, Chu Shin Koh, Teagen D. Quilichini, Arun S. K. Shunmugam, Morgan W. Kirzinger, David Konkin, Yasmina Bekkaoui, Ehsan Sari, Asher Pasha, Eddi Esteban, Nicholas J. Provart, James D. Higgins, Kevin Rozwadowski, Andrew G. Sharpe, Curtis J. Pozniak, Sateesh Kagale

Summary: By conducting a detailed transcriptome analysis in wheat, novel mechanisms of meiotic transcriptional regulation and meiosis-specific transcripts were revealed. These findings are important for improving recombination rates and genetic variation in crop plants, as well as for answering unresolved questions about meiosis. The study also provides a valuable resource of knowledge for those aiming to directly modulate meiosis in order to improve crop plants.

PLANT JOURNAL (2023)

Article Agronomy

Genomic prediction of agronomic traits in wheat using different models and cross-validation designs

Teketel A. Haile, Sean Walkowiak, Amidou N'Diaye, John M. Clarke, Pierre J. Hucl, Richard D. Cuthbert, Ron E. Knox, Curtis J. Pozniak

Summary: Genomic predictions within populations show moderate to high accuracies, while across-population genomic predictions in wheat with small population size should be approached with caution. BayesB model performs well in the presence of few QTL, and cross-validation design has a significant impact on prediction accuracy.

THEORETICAL AND APPLIED GENETICS (2021)

No Data Available