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Xu Y, Ghori N, Hussain S, Xu X, Su Z, Zhang D, Zhao L, Liu X, Chen MS, Bai G. Evaluating a worldwide wheat collection for resistance to Hessian fly biotype 'Great Plains'. FRONTIERS IN PLANT SCIENCE 2024; 15:1402218. [PMID: 38845847 PMCID: PMC11155297 DOI: 10.3389/fpls.2024.1402218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 05/03/2024] [Indexed: 06/09/2024]
Abstract
Hessian fly (HF), Mayetiola destructor, is a major insect pest that causes severe losses in grain yield and quality of wheat (Triticum aestivum). Growing resistant cultivars is the most cost-effective approach to minimize wheat yield losses caused by HF. In this study, 2,496 wheat accessions were screened for resistance to the HF biotype 'Great Plains' (GP) in the greenhouse experiments. To purify seeds from heterogeneous resistant accessions, we recovered single resistant plants from 331 accessions that had at least one resistant plant after HF infestation of a global collection of 1,595 accessions and confirmed 27 accessions with high resistance (HR), and 91 accessions with moderate resistance (MR) to the GP biotype using purified seeds. Screening of 203 U.S. winter wheat accessions in three experiments identified 63 HR and 28 MR accessions; and screening of three additional Asian panels identified 4 HR and 25 MR accessions. Together, this study identified 96 HR accessions and 144 MR accessions. Analysis of the geographic distribution of these HR and MR accessions revealed that these countries with HF as a major wheat pest usually showed higher frequencies of resistant accessions, with the highest frequency of HR (81.3%) and MR (30.6%) accessions identified from the U.S. In addition, phenotyping of 39 wheat accessions that carry known HF resistance genes showed that all the accessions except H1H2 remain effective against GP biotype. Some of these newly identified resistant accessions may contain new HF resistance genes and can be valuable sources for developing HF resistant wheat cultivars.
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Affiliation(s)
- Yunfeng Xu
- Department of Agronomy, Kansas State University, Manhattan, KS, United States
- Agricultural Genomics Institute at Shenzhen (AGIS), Chinese Academy of Agricultural Sciences (CAAS), Shenzhen, China
| | - Nida Ghori
- Department of Agronomy, Kansas State University, Manhattan, KS, United States
| | - Shabbir Hussain
- Department of Agronomy, Kansas State University, Manhattan, KS, United States
| | - Xiaoting Xu
- Department of Agronomy, Kansas State University, Manhattan, KS, United States
| | - Zhenqi Su
- Department of Agronomy, Kansas State University, Manhattan, KS, United States
| | - Dadong Zhang
- Department of Agronomy, Kansas State University, Manhattan, KS, United States
| | - Lanfei Zhao
- Department of Agronomy, Kansas State University, Manhattan, KS, United States
| | - Xuming Liu
- Hard Winter Wheat Genetics Research Unit, Agricultural Research Service, US Department of Agriculture (USDA-ARS), Manhattan, KS, United States
| | - Ming-Shun Chen
- Hard Winter Wheat Genetics Research Unit, Agricultural Research Service, US Department of Agriculture (USDA-ARS), Manhattan, KS, United States
| | - Guihua Bai
- Department of Agronomy, Kansas State University, Manhattan, KS, United States
- Hard Winter Wheat Genetics Research Unit, Agricultural Research Service, US Department of Agriculture (USDA-ARS), Manhattan, KS, United States
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Zakieh M, Alemu A, Henriksson T, Pareek N, Singh PK, Chawade A. Exploring GWAS and genomic prediction to improve Septoria tritici blotch resistance in wheat. Sci Rep 2023; 13:15651. [PMID: 37730954 PMCID: PMC10511425 DOI: 10.1038/s41598-023-42856-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 09/15/2023] [Indexed: 09/22/2023] Open
Abstract
Septoria tritici blotch (STB) is a destructive foliar diseases threatening wheat grain yield. Wheat breeding for STB disease resistance has been identified as the most sustainable and environment-friendly approach. In this work, a panel of 316 winter wheat breeding lines from a commercial breeding program were evaluated for STB resistance at the seedling stage under controlled conditions followed by genome-wide association study (GWAS) and genomic prediction (GP). The study revealed a significant genotypic variation for STB seedling resistance, while disease severity scores exhibited a normal frequency distribution. Moreover, we calculated a broad-sense heritability of 0.62 for the trait. Nine single- and multi-locus GWAS models identified 24 marker-trait associations grouped into 20 quantitative trait loci (QTLs) for STB seedling-stage resistance. The seven QTLs located on chromosomes 1B, 2A, 2B, 5B (two), 7A, and 7D are reported for the first time and could potentially be novel. The GP cross-validation analysis in the RR-BLUP model estimated the genomic-estimated breeding values (GEBVs) of STB resistance with a prediction accuracy of 0.49. Meanwhile, the GWAS assisted wRR-BLUP model improved the accuracy to 0.58. The identified QTLs can be used for marker-assisted backcrossing against STB in winter wheat. Moreover, the higher prediction accuracy recorded from the GWAS-assisted GP analysis implies its power to successfully select superior candidate lines based on their GEBVs for STB resistance.
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Affiliation(s)
- Mustafa Zakieh
- Department of Plant Breeding, Swedish University of Agricultural Sciences, 23422, Lomma, Sweden
| | - Admas Alemu
- Department of Plant Breeding, Swedish University of Agricultural Sciences, 23422, Lomma, Sweden
| | | | - Nidhi Pareek
- Department of Microbiology, School of Life Sciences, Central University of Rajasthan, Bandarsindri, Kishangarh, Ajmer, Rajasthan, 305801, India
| | - Pawan K Singh
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - Aakash Chawade
- Department of Plant Breeding, Swedish University of Agricultural Sciences, 23422, Lomma, Sweden.
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Bagwell JW, Subedi M, Sapkota S, Lopez B, Ghimire B, Chen Z, Buntin GD, Bahri BA, Mergoum M. Quantitative Trait Locus Analysis of Hessian Fly Resistance in Soft Red Winter Wheat. Genes (Basel) 2023; 14:1812. [PMID: 37761952 PMCID: PMC10531203 DOI: 10.3390/genes14091812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 09/10/2023] [Accepted: 09/14/2023] [Indexed: 09/29/2023] Open
Abstract
The Hessian fly (HF) is an invasive insect that has caused millions of dollars in yield losses to southeastern US wheat farms. Genetic resistance is the most sustainable solution to control HF. However, emerging biotypes are quickly overcoming resistance genes in the southeast; therefore, identifying novel sources of resistance is critical. The resistant line "UGA 111729" and susceptible variety "AGS 2038" were crossbred to generate a population of 225 recombinant inbred lines. This population was phenotyped in the growth chamber (GC) during 2019 and 2021 and in field (F) trials in Georgia during the 2021-2022 growing seasons. Visual scoring was utilized in GC studies. The percentage of infested tillers and number of pupae/larvae per tiller, and infested tiller per sample were measured in studies from 2021 to 2022. Averaging across all traits, a major QTL on chromosome 3D explained 42.27% (GC) and 10.43% (F) phenotypic variance within 9.86 centimorgans (cM). SNP marker IWB65911 was associated with the quantitative trait locus (QTL) peak with logarithm of odds (LOD) values of 14.98 (F) and 62.22 (GC). IWB65911 colocalized with resistance gene H32. KASP marker validation verified that UGA 111729 and KS89WGRC06 express H32. IWB65911 may be used for marker-assisted selection.
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Affiliation(s)
- John W. Bagwell
- Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Griffin Campus, Griffin, GA 30223, USA; (J.W.B.); (M.S.); (B.G.); (B.A.B.)
| | - Madhav Subedi
- Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Griffin Campus, Griffin, GA 30223, USA; (J.W.B.); (M.S.); (B.G.); (B.A.B.)
| | - Suraj Sapkota
- Small Grains and Potato Germplasm Research Unit, United States Department of Agriculture Agricultural Research Service, Aberdeen, ID 83210, USA;
| | - Benjamin Lopez
- Department of Crop and Soil Sciences, University of Georgia, Griffin Campus, Griffin, GA 30223, USA; (B.L.); (Z.C.)
| | - Bikash Ghimire
- Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Griffin Campus, Griffin, GA 30223, USA; (J.W.B.); (M.S.); (B.G.); (B.A.B.)
- Department of Plant Pathology, University of Georgia, Griffin Campus, Griffin, GA 30223, USA
| | - Zhenbang Chen
- Department of Crop and Soil Sciences, University of Georgia, Griffin Campus, Griffin, GA 30223, USA; (B.L.); (Z.C.)
| | - G. David Buntin
- Department of Entomology, University of Georgia, Griffin Campus, Griffin, GA 30223, USA;
| | - Bochra A. Bahri
- Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Griffin Campus, Griffin, GA 30223, USA; (J.W.B.); (M.S.); (B.G.); (B.A.B.)
- Department of Plant Pathology, University of Georgia, Griffin Campus, Griffin, GA 30223, USA
| | - Mohamed Mergoum
- Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Griffin Campus, Griffin, GA 30223, USA; (J.W.B.); (M.S.); (B.G.); (B.A.B.)
- Department of Crop and Soil Sciences, University of Georgia, Griffin Campus, Griffin, GA 30223, USA; (B.L.); (Z.C.)
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Shahinnia F, Geyer M, Schürmann F, Rudolphi S, Holzapfel J, Kempf H, Stadlmeier M, Löschenberger F, Morales L, Buerstmayr H, Sánchez JIY, Akdemir D, Mohler V, Lillemo M, Hartl L. Genome-wide association study and genomic prediction of resistance to stripe rust in current Central and Northern European winter wheat germplasm. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:3583-3595. [PMID: 36018343 PMCID: PMC9519682 DOI: 10.1007/s00122-022-04202-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 08/17/2022] [Indexed: 05/03/2023]
Abstract
We found two loci on chromosomes 2BS and 6AL that significantly contribute to stripe rust resistance in current European winter wheat germplasm. Stripe or yellow rust, caused by the fungus Puccinia striiformis Westend f. sp. tritici, is one of the most destructive wheat diseases. Sustainable management of wheat stripe rust can be achieved through the deployment of rust resistant cultivars. To detect effective resistance loci for use in breeding programs, an association mapping panel of 230 winter wheat cultivars and breeding lines from Northern and Central Europe was employed. Genotyping with the Illumina® iSelect® 25 K Infinium® single nucleotide polymorphism (SNP) genotyping array yielded 8812 polymorphic markers. Structure analysis revealed two subpopulations with 92 Austrian breeding lines and cultivars, which were separated from the other 138 genotypes from Germany, Norway, Sweden, Denmark, Poland, and Switzerland. Genome-wide association study for adult plant stripe rust resistance identified 12 SNP markers on six wheat chromosomes which showed consistent effects over several testing environments. Among these, two marker loci on chromosomes 2BS (RAC875_c1226_652) and 6AL (Tdurum_contig29607_413) were highly predictive in three independent validation populations of 1065, 1001, and 175 breeding lines. Lines with the resistant haplotype at both loci were nearly free of stipe rust symptoms. By using mixed linear models with those markers as fixed effects, we could increase predictive ability in the three populations by 0.13-0.46 compared to a standard genomic best linear unbiased prediction approach. The obtained results facilitate an efficient selection for stripe rust resistance against the current pathogen population in the Northern and Central European winter wheat gene pool.
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Affiliation(s)
- Fahimeh Shahinnia
- Bavarian State Research Center for Agriculture, Institute for Crop Science and Plant Breeding, 85354, Freising, Germany.
| | - Manuel Geyer
- Bavarian State Research Center for Agriculture, Institute for Crop Science and Plant Breeding, 85354, Freising, Germany
| | | | - Sabine Rudolphi
- SECOBRA Saatzucht GmbH, Lagesche Str. 250, 32657, Lemgo, Germany
| | - Josef Holzapfel
- SECOBRA Saatzucht GmbH, Feldkirchen 3, 85368, Moosburg, Germany
| | - Hubert Kempf
- SECOBRA Saatzucht GmbH, Feldkirchen 3, 85368, Moosburg, Germany
| | | | | | - Laura Morales
- Department of Agrobiotechnology, Institute of Biotechnology in Plant Production, University of Natural Resources and Life Sciences Vienna, Konrad-Lorenz-Straße 20, 3430, Tulln an der Donau, Austria
| | - Hermann Buerstmayr
- Department of Agrobiotechnology, Institute of Biotechnology in Plant Production, University of Natural Resources and Life Sciences Vienna, Konrad-Lorenz-Straße 20, 3430, Tulln an der Donau, Austria
| | - Julio Isidro Y Sánchez
- Centro de Biotecnologia y Genómica de Plantas, Instituto Nacional de Investigación y Tecnologia Agraria y Alimentaria, Universidad Politécnica de Madrid, Campus de Montegancedo, Madrid, Spain
| | - Deniz Akdemir
- Center for International Blood and Marrow Transplant Research (CIBMTR), National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
| | - Volker Mohler
- Bavarian State Research Center for Agriculture, Institute for Crop Science and Plant Breeding, 85354, Freising, Germany
| | - Morten Lillemo
- Department of Plant Sciences, Norwegian University of Life Sciences, P.O. Box 5003, 1432, Ås, Norway
| | - Lorenz Hartl
- Bavarian State Research Center for Agriculture, Institute for Crop Science and Plant Breeding, 85354, Freising, Germany.
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Prather S, Schneider T, Gaham Godoy J, Odubiyi S, Bosque-Perez NA, Rashed A, Rynearson S, Pumphrey MO. Reliable DNA Markers for a Previously Unidentified, Yet Broadly Deployed Hessian Fly Resistance Gene on Chromosome 6B in Pacific Northwest Spring Wheat Varieties. FRONTIERS IN PLANT SCIENCE 2022; 13:779096. [PMID: 35769296 PMCID: PMC9234662 DOI: 10.3389/fpls.2022.779096] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 05/19/2022] [Indexed: 06/15/2023]
Abstract
Hessian fly [Mayetiola destructor (Say)] is a major pest of wheat (Triticum aestivum L.) throughout the United States and in several other countries. A highly effective and economically feasible way to control Hessian fly is with resistant cultivars. To date, over 37 Hessian fly resistance genes have been discovered and their approximate locations mapped. Resistance breeding is still limited, though, by the genes' effectiveness against predominant Hessian fly biotypes in a given production area, genetic markers that are developed for low-throughput marker systems, poorly adapted donor germplasm, and/or the inadequacy of closely linked DNA markers to track effective resistance genes in diverse genetic backgrounds. The purposes of this study were to determine the location of the Hessian fly resistance gene in the cultivar "Kelse" (PI 653842) and to develop and validate Kompetitive Allele Specific PCR (KASP) markers for the resistance locus. A mapping population was genotyped and screened for Hessian fly resistance. The resulting linkage map created from 2,089 Single Nucleotide Polymorphism SNP markers placed the resistance locus on the chromosome 6B short arm, near where H34 has been reported. Three flanking SNPs near the resistance locus were converted to KASP assays which were then validated by fine-mapping and testing a large panel of breeding lines from hard and soft wheat germplasm adapted to the Pacific Northwest. The KASP markers presented here are tightly linked to the resistance locus and can be used for marker-assisted selection by breeders working on Hessian fly resistance and allow confirmation of this Hessian fly resistance gene in diverse germplasm.
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Affiliation(s)
- Samuel Prather
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, United States
| | - Tavin Schneider
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, United States
| | - Jayfred Gaham Godoy
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, United States
- InterGrain Pty Ltd., Food Production, Bibra Lake, WA, Australia
| | - Steven Odubiyi
- Department of Entomology, Plant Pathology and Nematology, University of Idaho, Moscow, ID, United States
| | - Nilsa A. Bosque-Perez
- Department of Entomology, Plant Pathology and Nematology, University of Idaho, Moscow, ID, United States
| | - Arash Rashed
- Department of Entomology, Plant Pathology and Nematology, University of Idaho, Moscow, ID, United States
| | - Sheri Rynearson
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, United States
| | - Michael O. Pumphrey
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, United States
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Saini DK, Chopra Y, Singh J, Sandhu KS, Kumar A, Bazzer S, Srivastava P. Comprehensive evaluation of mapping complex traits in wheat using genome-wide association studies. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2022; 42:1. [PMID: 37309486 PMCID: PMC10248672 DOI: 10.1007/s11032-021-01272-7] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 12/10/2021] [Indexed: 06/14/2023]
Abstract
Genome-wide association studies (GWAS) are effectively applied to detect the marker trait associations (MTAs) using whole genome-wide variants for complex quantitative traits in different crop species. GWAS has been applied in wheat for different quality, biotic and abiotic stresses, and agronomic and yield-related traits. Predictions for marker-trait associations are controlled with the development of better statistical models taking population structure and familial relatedness into account. In this review, we have provided a detailed overview of the importance of association mapping, population design, high-throughput genotyping and phenotyping platforms, advancements in statistical models and multiple threshold comparisons, and recent GWA studies conducted in wheat. The information about MTAs utilized for gene characterization and adopted in breeding programs is also provided. In the literature that we surveyed, as many as 86,122 wheat lines have been studied under various GWA studies reporting 46,940 loci. However, further utilization of these is largely limited. The future breakthroughs in area of genomic selection, multi-omics-based approaches, machine, and deep learning models in wheat breeding after exploring the complex genetic structure with the GWAS are also discussed. This is a most comprehensive study of a large number of reports on wheat GWAS and gives a comparison and timeline of technological developments in this area. This will be useful to new researchers or groups who wish to invest in GWAS.
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Affiliation(s)
- Dinesh K. Saini
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141004 India
| | - Yuvraj Chopra
- College of Agriculture, Punjab Agricultural University, Ludhiana, 141004 India
| | - Jagmohan Singh
- Division of Plant Pathology, Indian Agricultural Research Institute, New Delhi, 110012 India
| | - Karansher S. Sandhu
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99163 USA
| | - Anand Kumar
- Department of Genetics and Plant Breeding, Chandra Shekhar Azad University of Agriculture and Technology, Kanpur, 202002 India
| | - Sumandeep Bazzer
- Division of Plant Sciences, University of Missouri, Columbia, MO 65211 USA
| | - Puja Srivastava
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141004 India
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Mayetiola destructor (Diptera: Cecidmyiidae) host preference and survival on small grains with respect to leaf reflectance and phytohormone concentrations. Sci Rep 2021; 11:4761. [PMID: 33637802 PMCID: PMC7910616 DOI: 10.1038/s41598-021-84212-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Accepted: 02/05/2021] [Indexed: 11/08/2022] Open
Abstract
The Hessian fly Mayetiola destructor (Diptera: Cecidmyiidae) is a major pest of wheat, globally. We conducted a series of laboratory choice and no-choice assays to quantify Hessian fly host preference for barley (cv. Champion), oat (cv. Cayuse), susceptible (cv. Alturas), and resistant (cv. Hollis) wheat. In addition, larval survivorship and adult emergence were compared among the evaluated host plants. We then examined whether insect preference for a host can be explained by differences in plant spectral reflectance. Further, larval survivorship and adult emergence were compared among host plants in relation to phytohormone concentrations. Hessian flies laid more eggs on wheat compared to either oat or barley. Spectral reflectance measurements of leaves were similar between susceptible and resistant wheat cultivars but different from those of barley and oat. Our results suggested that higher reflectance in the near-infrared range and lower reflectance in the visible range may be used by females for host selection. Hessian fly larvae were unable to develop into the pupal stage on resistant wheat and oat. No significant difference in larval survivorship was detected between the susceptible wheat and barley. However, adult emergence was significantly higher on barley than the susceptible wheat. Phytohormonal evaluations revealed that salicylic acid (SA) may be an important contributor to plant defense response to larval feeding as relatively higher concentrations of SA were present in oat and resistant wheat. While resistance in the resistant wheat is achieved only through antibiosis, both antibiosis and antixenosis were in effect rendering oat as a non-host for Hessian flies.
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Riaz A, KockAppelgren P, Hehir JG, Kang J, Meade F, Cockram J, Milbourne D, Spink J, Mullins E, Byrne S. Genetic Analysis Using a Multi-Parent Wheat Population Identifies Novel Sources of Septoria Tritici Blotch Resistance. Genes (Basel) 2020; 11:E887. [PMID: 32759792 PMCID: PMC7465482 DOI: 10.3390/genes11080887] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 07/31/2020] [Accepted: 07/31/2020] [Indexed: 12/12/2022] Open
Abstract
Zymoseptoria tritici is the causative fungal pathogen of septoria tritici blotch (STB) disease of wheat (Triticum aestivum L.) that continuously threatens wheat crops in Ireland and throughout Europe. Under favorable conditions, STB can cause up to 50% yield losses if left untreated. STB is commonly controlled with fungicides; however, a combination of Z. tritici populations developing fungicide resistance and increased restrictions on fungicide use in the EU has led to farmers relying on fewer active substances. Consequently, this serves to drive the emergence of Z. tritici resistance against the remaining chemistries. In response, the use of resistant wheat varieties provides a more sustainable disease management strategy. However, the number of varieties offering an adequate level of resistance against STB is limited. Therefore, new sources of resistance or improved stacking of existing resistance loci are needed to develop varieties with superior agronomic performance. Here, we identified quantitative trait loci (QTL) for STB resistance in the eight-founder "NIAB Elite MAGIC" winter wheat population. The population was screened for STB response in the field under natural infection for three seasons from 2016 to 2018. Twenty-five QTL associated with STB resistance were identified in total. QTL either co-located with previously reported QTL or represent new loci underpinning STB resistance. The genomic regions identified and the linked genetic markers serve as useful resources for STB resistance breeding, supporting rapid selection of favorable alleles for the breeding of new wheat cultivars with improved STB resistance.
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Affiliation(s)
- Adnan Riaz
- Teagasc, Crop Science Department, Oak Park, R93 XE12 Carlow, Ireland; (A.R.); (P.K.); (J.G.H.); (J.K.); (F.M.); (D.M.); (J.S.); (E.M.)
| | - Petra KockAppelgren
- Teagasc, Crop Science Department, Oak Park, R93 XE12 Carlow, Ireland; (A.R.); (P.K.); (J.G.H.); (J.K.); (F.M.); (D.M.); (J.S.); (E.M.)
| | - James Gerard Hehir
- Teagasc, Crop Science Department, Oak Park, R93 XE12 Carlow, Ireland; (A.R.); (P.K.); (J.G.H.); (J.K.); (F.M.); (D.M.); (J.S.); (E.M.)
| | - Jie Kang
- Teagasc, Crop Science Department, Oak Park, R93 XE12 Carlow, Ireland; (A.R.); (P.K.); (J.G.H.); (J.K.); (F.M.); (D.M.); (J.S.); (E.M.)
- AgResearch, Invermay Agricultural Centre, Private Bag, Mosgiel 50034, New Zealand
- Department of Mathematics and Statistics, University of Otago, Dunedin 9016, New Zealand
| | - Fergus Meade
- Teagasc, Crop Science Department, Oak Park, R93 XE12 Carlow, Ireland; (A.R.); (P.K.); (J.G.H.); (J.K.); (F.M.); (D.M.); (J.S.); (E.M.)
| | - James Cockram
- The John Bingham Laboratory, NIAB, Cambridge CB3 0LE, UK;
| | - Dan Milbourne
- Teagasc, Crop Science Department, Oak Park, R93 XE12 Carlow, Ireland; (A.R.); (P.K.); (J.G.H.); (J.K.); (F.M.); (D.M.); (J.S.); (E.M.)
| | - John Spink
- Teagasc, Crop Science Department, Oak Park, R93 XE12 Carlow, Ireland; (A.R.); (P.K.); (J.G.H.); (J.K.); (F.M.); (D.M.); (J.S.); (E.M.)
| | - Ewen Mullins
- Teagasc, Crop Science Department, Oak Park, R93 XE12 Carlow, Ireland; (A.R.); (P.K.); (J.G.H.); (J.K.); (F.M.); (D.M.); (J.S.); (E.M.)
| | - Stephen Byrne
- Teagasc, Crop Science Department, Oak Park, R93 XE12 Carlow, Ireland; (A.R.); (P.K.); (J.G.H.); (J.K.); (F.M.); (D.M.); (J.S.); (E.M.)
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9
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Zhao L, Abdelsalam NR, Xu Y, Chen MS, Feng Y, Kong L, Bai G. Identification of two novel Hessian fly resistance genes H35 and H36 in a hard winter wheat line SD06165. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:2343-2353. [PMID: 32436021 DOI: 10.1007/s00122-020-03602-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 05/01/2020] [Indexed: 05/19/2023]
Abstract
Two new Hessian fly resistance QTLs (H35 and H36) and tightly linked SNP markers were identified in a US hard winter wheat SD06165. Hessian fly (HF), Mayetiola destructor (Say), is one of the most destructive pests in wheat (Triticum aestivum L.) worldwide. Growing resistant cultivars is the most effective approach to minimize Hessian fly damage. To identify new quantitative trait loci (QTLs) for HF resistance, a recombinant inbred line population was developed by crossing HF resistant wheat line SD06165 to a susceptible line OK05312. The population was genotyped with 1709 single-nucleotide polymorphisms (SNPs) generated from genotyping-by-sequencing and phenotyped for HF resistance in greenhouses. Two novel QTLs for HF resistance were identified from SD06165. The major QTL, designated as H35, was closely linked to SNP marker SDOKSNP7679 on chromosome 3BS that explained 23.8% and 36.0% of the phenotypic variations; the minor QTL, designated as H36, was flanked by SNP markers SDOKSNP1618 and SDOKSNP8089 on chromosome 7AS and explained 8.5% and 13.1% of the phenotypic variation in the two experiments. Significant interaction was detected between the two QTLs. Seventeen SNPs that tightly link to H35 and eight SNPs that tightly link to H36 were converted to kompetitive allele specific polymerase chain reaction markers for selecting these QTLs in breeding programs.
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Affiliation(s)
- Lanfei Zhao
- State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agriculture University, Taian, 271018, Shandong, China
- Department of Agronomy, Kansas State University, 2004 Throckmorton Hall, Manhattan, KS, 66506, USA
| | - Nader Ragab Abdelsalam
- Department of Agronomy, Kansas State University, 2004 Throckmorton Hall, Manhattan, KS, 66506, USA
- Agricultural Botany Department, Faculty of Agriculture, Saba Basha, Alexandria University, Alexandria, 21531, Egypt
| | - Yunfeng Xu
- Department of Agronomy, Kansas State University, 2004 Throckmorton Hall, Manhattan, KS, 66506, USA
| | - Ming-Shun Chen
- Hard Winter Wheat Genetics Research Unit, USDA, 4008 Throckmorton Hall, Manhattan, KS, 66506, USA
| | - Yi Feng
- Department of Agronomy, Kansas State University, 2004 Throckmorton Hall, Manhattan, KS, 66506, USA
- College of Agronomy, Northwest A&F University, Yangling, 712100, China
| | - Lingrang Kong
- State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agriculture University, Taian, 271018, Shandong, China
| | - Guihua Bai
- Department of Agronomy, Kansas State University, 2004 Throckmorton Hall, Manhattan, KS, 66506, USA.
- Hard Winter Wheat Genetics Research Unit, USDA, 4008 Throckmorton Hall, Manhattan, KS, 66506, USA.
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