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Kirana RP, Gaurav K, Arora S, Wiesenberger G, Doppler M, Michel S, Zimmerl S, Matic M, Eze CE, Kumar M, Topuz A, Lemmens M, Schuhmacher R, Adam G, Wulff BBH, Buerstmayr H, Steiner B. Identification of a UDP-glucosyltransferase conferring deoxynivalenol resistance in Aegilops tauschii and wheat. Plant Biotechnol J 2023; 21:109-121. [PMID: 36121345 PMCID: PMC9829400 DOI: 10.1111/pbi.13928] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 08/08/2022] [Accepted: 09/13/2022] [Indexed: 06/15/2023]
Abstract
Aegilops tauschii is the diploid progenitor of the wheat D subgenome and a valuable resource for wheat breeding, yet, genetic analysis of resistance against Fusarium head blight (FHB) and the major Fusarium mycotoxin deoxynivalenol (DON) is lacking. We treated a panel of 147 Ae. tauschii accessions with either Fusarium graminearum spores or DON solution and recorded the associated disease spread or toxin-induced bleaching. A k-mer-based association mapping pipeline dissected the genetic basis of resistance and identified candidate genes. After DON infiltration nine accessions revealed severe bleaching symptoms concomitant with lower conversion rates of DON into the non-toxic DON-3-O-glucoside. We identified the gene AET5Gv20385300 on chromosome 5D encoding a uridine diphosphate (UDP)-glucosyltransferase (UGT) as the causal variant and the mutant allele resulting in a truncated protein was only found in the nine susceptible accessions. This UGT is also polymorphic in hexaploid wheat and when expressed in Saccharomyces cerevisiae only the full-length gene conferred resistance against DON. Analysing the D subgenome helped to elucidate the genetic control of FHB resistance and identified a UGT involved in DON detoxification in Ae. tauschii and hexaploid wheat. This resistance mechanism is highly conserved since the UGT is orthologous to the barley UGT HvUGT13248 indicating descent from a common ancestor of wheat and barley.
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Affiliation(s)
- Rizky Pasthika Kirana
- Department of Agrobiotechnology (IFA‐Tulln), Institute of Biotechnology in Plant ProductionUniversity of Natural Resources and Life Sciences, ViennaTullnAustria
- Laboratory of Plant BreedingDepartment of Agronomy, Faculty of Agriculture, Universitas Gadjah MadaYogyakartaIndonesia
| | | | - Sanu Arora
- John Innes CentreNorwich Research ParkNorwichUK
| | - Gerlinde Wiesenberger
- Department of Applied Genetics and Cell Biology, Institute of Microbial GeneticsUniversity of Natural Resources and Life Sciences, ViennaTullnAustria
| | - Maria Doppler
- Department of Agrobiotechnology (IFA‐Tulln), Institute of Bioanalytics and Agro‐MetabolomicsUniversity of Natural Resources and Life Sciences, ViennaTullnAustria
- Core Facility Bioactive Molecules: Screening and AnalysisUniversity of Natural Resources and Life Sciences, ViennaTullnAustria
| | - Sebastian Michel
- Department of Agrobiotechnology (IFA‐Tulln), Institute of Biotechnology in Plant ProductionUniversity of Natural Resources and Life Sciences, ViennaTullnAustria
| | - Simone Zimmerl
- Department of Agrobiotechnology (IFA‐Tulln), Institute of Biotechnology in Plant ProductionUniversity of Natural Resources and Life Sciences, ViennaTullnAustria
| | - Magdalena Matic
- Department of Agrobiotechnology (IFA‐Tulln), Institute of Biotechnology in Plant ProductionUniversity of Natural Resources and Life Sciences, ViennaTullnAustria
- Faculty of Agrobiotechnical Sciences OsijekJosip Juraj Strossmayer University of OsijekOsijekCroatia
| | - Chinedu E. Eze
- Department of Agrobiotechnology (IFA‐Tulln), Institute of Biotechnology in Plant ProductionUniversity of Natural Resources and Life Sciences, ViennaTullnAustria
- Department of AgronomyMichael Okpara University of Agriculture UmudikeUmudikeNigeria
| | - Mukesh Kumar
- Department of Agrobiotechnology (IFA‐Tulln), Institute of Biotechnology in Plant ProductionUniversity of Natural Resources and Life Sciences, ViennaTullnAustria
- Department of Genetics & Plant BreedingCCS Haryana Agricultural UniversityHisar (Haryana)India
| | - Ajla Topuz
- Department of Agrobiotechnology (IFA‐Tulln), Institute of Biotechnology in Plant ProductionUniversity of Natural Resources and Life Sciences, ViennaTullnAustria
| | - Marc Lemmens
- Department of Agrobiotechnology (IFA‐Tulln), Institute of Biotechnology in Plant ProductionUniversity of Natural Resources and Life Sciences, ViennaTullnAustria
| | - Rainer Schuhmacher
- Department of Agrobiotechnology (IFA‐Tulln), Institute of Bioanalytics and Agro‐MetabolomicsUniversity of Natural Resources and Life Sciences, ViennaTullnAustria
| | - Gerhard Adam
- Department of Applied Genetics and Cell Biology, Institute of Microbial GeneticsUniversity of Natural Resources and Life Sciences, ViennaTullnAustria
| | - Brande B. H. Wulff
- John Innes CentreNorwich Research ParkNorwichUK
- Center for Desert Agriculture, Biological and Environmental Science and Engineering Division (BESE)King Abdullah University of Science and Technology (KAUST)ThuwalSaudi Arabia
| | - Hermann Buerstmayr
- Department of Agrobiotechnology (IFA‐Tulln), Institute of Biotechnology in Plant ProductionUniversity of Natural Resources and Life Sciences, ViennaTullnAustria
| | - Barbara Steiner
- Department of Agrobiotechnology (IFA‐Tulln), Institute of Biotechnology in Plant ProductionUniversity of Natural Resources and Life Sciences, ViennaTullnAustria
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Akohoue F, Koch S, Plieske J, Miedaner T. Separation of the effects of two reduced height (Rht) genes and genomic background to select for less Fusarium head blight of short-strawed winter wheat (Triticum aestivum L.) varieties. Theor Appl Genet 2022; 135:4303-4326. [PMID: 36152062 PMCID: PMC9734223 DOI: 10.1007/s00122-022-04219-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 09/08/2022] [Indexed: 06/16/2023]
Abstract
FHB resistance shared pleiotropic loci with plant height and anther retention. Genomic prediction allows to select for genomic background reducing FHB susceptibility in the presence of the dwarfing allele Rht-D1b. With the high interest for semi-dwarf cultivars in wheat, finding locally adapted resistance sources against Fusarium head blight (FHB) and FHB-neutral reduced height (Rht) genes is of utmost relevance. In this study, 401 genotypes of European origin without/with dwarfing alleles of Rht-D1 and/or Rht24 were analysed across five environments on FHB severity and the morphological traits such as plant height (PH), anther retention (AR), number of spikelets per ear, ear length and ear density. Data were analysed by combined correlation and path analyses, association mapping and coupling single- and multi-trait genome-wide association studies (ST-GWAS and MT-GWAS, respectively) and genomic prediction (GP). All FHB data were corrected for flowering date or heading stage. High genotypic correlation (rg = 0.74) and direct path effect (0.57) were detected between FHB severity and anther retention (AR). Moderate correlation (rg = - 0.55) was found between FHB severity and plant height (PH) with a high indirect path via AR (- 0.31). Indirect selection for FHB resistance should concentrate on AR and PH. ST-GWAS identified 25 quantitative trait loci (QTL) for FHB severity, PH and AR, while MT-GWAS detected six QTL across chromosomes 2A, 4D, 5A, 6B and 7B conveying pleiotropic effects on the traits. Rht-D1b was associated with high AR and FHB susceptibility. Our study identified a promising positively acting pleiotropic QTL on chromosome 7B which can be utilized to improve FHB resistance while reducing PH and AR. Rht-D1b genotypes having a high resistance genomic background exhibited lower FHB severity and AR. The use of GP for estimating the genomic background was more effective than selection of GWAS-detected markers. We demonstrated that GP has a great potential and should be exploited by selecting for semi-dwarf winter wheat genotypes with higher FHB resistance due to their genomic background.
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Affiliation(s)
- Félicien Akohoue
- State Plant Breeding Institute, University of Hohenheim, Stuttgart, Germany
| | - Silvia Koch
- State Plant Breeding Institute, University of Hohenheim, Stuttgart, Germany
| | - Jörg Plieske
- SGS INSTITUT FRESENIUS GmbH, TraitGenetics Section, Am Schwabeplan 1b, 06466, Seeland OT Gatersleben, Germany
| | - Thomas Miedaner
- State Plant Breeding Institute, University of Hohenheim, Stuttgart, Germany.
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3
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Ghimire B, Mergoum M, Martinez-Espinoza AD, Sapkota S, Pradhan S, Babar MA, Bai G, Dong Y, Buck JW. Genetics of Fusarium head blight resistance in soft red winter wheat using a genome-wide association study. Plant Genome 2022; 15:e20222. [PMID: 35633121 DOI: 10.1002/tpg2.20222] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 04/10/2022] [Indexed: 06/15/2023]
Abstract
Host resistance is an effective and sustainable approach to manage the negative impact of Fusarium head blight (FHB) on wheat (Triticum aestivum L.) grain yield and quality. The objective of this study was to characterize the phenotypic responses and identify quantitative trait loci (QTL) conditioning different FHB resistance types using a panel of 236 elite soft red winter wheat (SRWW) lines in a genome-wide association study (GWAS). The panel was phenotyped for five FHB and three morphological traits under two field and two greenhouse environments in 2018-2019 and 2019-2020. We identified 160 significant marker-trait associations (MTAs) for FHB traits and 11 MTAs for plant height. Eleven QTL showed major effects and explained >10% phenotypic variation (PV) for FHB resistance. Among these major loci, three QTL were stable and five QTL exhibited a pleiotropic effect. The QTL QFhb-3BL, QFhb-5AS, QFhb-5BL, QFhb-7AS.1, QFhb-7AS.2, and QFhb-7BS are presumed to be novel. Pyramiding multiple resistance alleles from all the major-effect QTL resulted in a significant reduction in FHB incidence, severity, index, deoxynivalenol (DON), and Fusarium-damaged kernel (FDK) by 17, 43, 45, 55, and 25%, respectively. Further validation of these QTL could potentially facilitate successful introgression of these resistance loci in new cultivars for improved FHB resistance in breeding programs.
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Affiliation(s)
- Bikash Ghimire
- Dep. of Plant Pathology, Univ. of Georgia, Griffin Campus, Griffin, GA, 30223, USA
| | - Mohamed Mergoum
- Institute of Plant Breeding, Genetics, and Genomics, Univ. of Georgia, Griffin Campus, Griffin, GA, 30223, USA
- Dep. of Crop and Soil Sciences, Univ. of Georgia, Griffin Campus, Griffin, GA, 30223, USA
| | | | - Suraj Sapkota
- USDA-ARS, Crop Genetics and Breeding Research Unit, Tifton, GA, 31794, USA
| | - Sumit Pradhan
- Dep. of Agronomy, Univ. of Florida, Gainesville, FL, 32611, USA
| | - Md Ali Babar
- Dep. of Agronomy, Univ. of Florida, Gainesville, FL, 32611, USA
| | - Guihua Bai
- USDA-ARS, Hard Winter Wheat Genetics Research Unit, Manhattan, KS, 66506, USA
| | - Yanhong Dong
- Dep. of Plant Pathology, Univ. of Minnesota, St. Paul, MN, 55108, USA
| | - James W Buck
- Dep. of Plant Pathology, Univ. of Georgia, Griffin Campus, Griffin, GA, 30223, USA
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Alemu A, Brantestam AK, Chawade A. Unraveling the Genetic Basis of Key Agronomic Traits of Wrinkled Vining Pea ( Pisum sativum L.) for Sustainable Production. Front Plant Sci 2022; 13:844450. [PMID: 35360298 PMCID: PMC8964273 DOI: 10.3389/fpls.2022.844450] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 02/14/2022] [Indexed: 06/14/2023]
Abstract
Estimating the allelic variation and exploring the genetic basis of quantitatively inherited complex traits are the two foremost breeding scenarios for sustainable crop production. The current study utilized 188 wrinkled vining pea genotypes comprising historical varieties and breeding lines to evaluate the existing genetic diversity and to detect molecular markers associated with traits relevant to vining pea production, such as wrinkled vining pea yield (YTM100), plant height (PH), earliness (ERL), adult plant resistance to downy mildew (DM), pod length (PDL), numbers of pods per plant (PDP), number of peas per pod (PPD), and percent of small wrinkled vining peas (PSP). Marker-trait associations (MTAs) were conducted using 6902 quality single nucleotide polymorphism (SNP) markers generated from the diversity arrays technology sequencing (DArTseq) and Genotyping-by-sequencing (GBS) sequencing methods. The best linear unbiased prediction (BLUP) values were estimated from the two-decades-long (1999-2020) unbalanced phenotypic data sets recorded from two private breeding programs, the Findus and the Birds eye, now owned by Nomad Foods. Analysis of variance revealed a highly significant variation between genotypes and genotype-by-environment interactions for the ten traits. The genetic diversity and population structure analyses estimated an intermediate level of genetic variation with two optimal sub-groups within the current panel. A total of 48 significant (P < 0.0001) MTAs were identified for eight different traits, including five for wrinkled vining pea yield on chr2LG1, chr4LG4, chr7LG7, and scaffolds (two), and six for adult plant resistance to downy mildew on chr1LG6, chr3LG5 (two), chr6LG2, and chr7LG7 (two). We reported several novel MTAs for different crucial traits with agronomic importance in wrinkled vining pea production for the first time, and these candidate markers could be easily validated and integrated into the active breeding programs for marker-assisted selection.
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Affiliation(s)
- Admas Alemu
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Alnarp, Sweden
| | | | - Aakash Chawade
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Alnarp, Sweden
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Gaire R, de Arruda MP, Mohammadi M, Brown-Guedira G, Kolb FL, Rutkoski J. Multi-trait genomic selection can increase selection accuracy for deoxynivalenol accumulation resulting from fusarium head blight in wheat. Plant Genome 2022; 15:e20188. [PMID: 35043582 DOI: 10.1002/tpg2.20188] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 11/18/2021] [Indexed: 06/14/2023]
Abstract
Multi-trait genomic prediction (MTGP) can improve selection accuracy for economically valuable 'primary' traits by incorporating data on correlated secondary traits. Resistance to Fusarium head blight (FHB), a fungal disease of wheat (Triticum aestivum L.) and barley (Hordeum vulgare L.), is evaluated using four genetically correlated traits: incidence (INC), severity (SEV), Fusarium damaged kernels (FDK), and deoxynivalenol content (DON). Both FDK and DON are primary traits; DON evaluation is expensive and usually requires several months for wheat breeders to get results from service laboratories performing the evaluations. We evaluated MTGP for DON using three soft red winter wheat breeding datasets: two diversity panels from the University of Illinois (IL) and Purdue University (PU) and a dataset consisting of 2019-2020 University of Illinois breeding cohorts. For DON, relative to single-trait (ST) genomic prediction, MTGP including phenotypic data for secondary traits on both validation and training sets, resulted in 23.4 and 10.6% higher predictive abilities in IL and PU panels, respectively. The MTGP models were advantageous only when secondary traits were included in both training and validation sets. In addition, MTGP models were more accurate than ST models only when FDK was included, and once FDK was included in the model, adding additional traits hardly improved accuracy. Evaluation of MTGP models across testing cohorts indicated that MTGP could increase accuracy by more than twofold in the early stages. Overall, we show that MTGP can increase selection accuracy for resistance to DON accumulation in wheat provided FDK is evaluated on the selection candidates.
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Affiliation(s)
- Rupesh Gaire
- Crop Sciences, Univ. of Illinois at Urbana-Champaign, 1102 S. Goodwin Avenue, Urbana, IL, 61801, USA
| | | | - Mohsen Mohammadi
- Agronomy Dep., Purdue Univ., 915 W State St, West Lafayette, IN, 47907, USA
| | - Gina Brown-Guedira
- USDA-ARS Plant Science Research & Crop and Soil Sciences, North Carolina State University, Williams Hall 4114A, Raleigh, NC, 27695, USA
| | - Frederic L Kolb
- Crop Sciences, Univ. of Illinois at Urbana-Champaign, 1102 S. Goodwin Avenue, Urbana, IL, 61801, USA
| | - Jessica Rutkoski
- Crop Sciences, Univ. of Illinois at Urbana-Champaign, 1102 S. Goodwin Avenue, Urbana, IL, 61801, USA
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Poudel B, Mullins J, Puri KD, Leng Y, Karmacharya A, Liu Y, Hegstad J, Li X, Zhong S. Molecular Mapping of Quantitative Trait Loci for Fusarium Head Blight Resistance in the Brazilian Spring Wheat Cultivar "Surpresa". Front Plant Sci 2022; 12:778472. [PMID: 35140729 PMCID: PMC8818699 DOI: 10.3389/fpls.2021.778472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 12/06/2021] [Indexed: 06/14/2023]
Abstract
Fusarium head blight (FHB) is a devastating disease in wheat. The use of resistant germplasm from diverse sources can significantly improve resistance to the disease. "Surpresa" is a Brazilian spring wheat cultivar with moderate FHB resistance, different from currently used sources. In this study, we aimed to identify and map the genetic loci for FHB resistance in Surpresa. A mapping population consisting of 187 recombinant inbred lines (RILs) was developed from a cross between Surpresa and a susceptible spring wheat cultivar, "Wheaton." The population was evaluated for FHB by the point-inoculation method in three greenhouse experiments and four field trials between 2016 and 2018. Mean disease severity for Surpresa and Wheaton was 41.2 and 84.9% across the 3 years of experiments, ranging from 30.3 to 59.1% and 74.3 to 91.4%, respectively. The mean FHB severity of the NILs was 57%, with an overall range from 7 to 100%, suggesting transgressive segregation in the population. The population was genotyped using a two-enzyme genotyping-by-sequencing approach, and a genetic map was constructed with 5,431 single nucleotide polymorphism (SNP) markers. Four QTL for type II resistance were detected on chromosomes 3A, 5A, 6A, and 7A, explaining 10.4-14.4% of the total phenotypic variation. The largest effect QTL was mapped on chromosome 7A and explained 14.4% of the phenotypic variation; however, it co-localized with a QTL governing the days to anthesis trait. A QTL for mycotoxin accumulation was also detected on chromosome 1B, explaining 18.8% of the total phenotypic variation. The QTL for FHB resistance identified in the study may diversify the FHB resistance gene pool and increase overall resistance to the disease in wheat.
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Affiliation(s)
- Bikash Poudel
- Department of Plant Pathology, North Dakota State University, Fargo, ND, United States
| | - Joseph Mullins
- Department of Plant Pathology, North Dakota State University, Fargo, ND, United States
| | - Krishna D. Puri
- Department of Plant Pathology, North Dakota State University, Fargo, ND, United States
| | - Yueqiang Leng
- Department of Plant Pathology, North Dakota State University, Fargo, ND, United States
| | - Anil Karmacharya
- Department of Plant Pathology, North Dakota State University, Fargo, ND, United States
| | - Yuan Liu
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States
| | - Justin Hegstad
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States
| | - Xuehui Li
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States
| | - Shaobin Zhong
- Department of Plant Pathology, North Dakota State University, Fargo, ND, 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. Mol Breed 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] [What about the content of this article? (0)] [Affiliation(s)] [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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Mesterhazy A. Updating the Breeding Philosophy of Wheat to Fusarium Head Blight (FHB): Resistance Components, QTL Identification, and Phenotyping-A Review. Plants (Basel) 2020; 9:E1702. [PMID: 33287353 DOI: 10.3390/plants9121702] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 11/29/2020] [Accepted: 11/30/2020] [Indexed: 01/09/2023]
Abstract
Fusarium head blight has posed continuous risks to wheat production worldwide due to its effects on yield, and the fungus provides additional risks with production of toxins. Plant resistance is thought to be the most powerful method. The host plant resistance is complex, Types I–V were reported. From the time of spraying inoculation (Type I), all resistance types can be identified and used to determine the total resistance. Type II resistance (at point inoculation) describes the spread of head blight from the ovary to the other parts of the head. Therefore, it cannot solve the resistance problem alone. Type II QTL (quantitative trait locus) Fhb1 on 3BS from Sumai 3 descendant CM82036 secures about the same resistance level as Type I QTL does on 5AS and 5ASc in terms of visual symptoms, FDK (Fusarium damaged kernel), and deoxynivalenol response. Recently, increasing evidence supports the association of deoxynivalenol (DON) content and low kernel infection with FHB (Fusarium head blight) resistance (Types III and IV), as QTL for individual resistance types has been identified. In plant breeding practice, the role of visual selection remains vital, but the higher correlations for FDK/DON make it possible to select low-DON genotypes via FDK value. For phenotyping, the use of more independent inocula (isolates or mixtures) makes resistance evaluation more reliable. The large heterogeneity of the mapping populations is a serious source of underestimating genetic effects. Therefore, the increasing of homogeneity is a necessity. As no wheat varieties exist with full resistance to FHB, crops must be supported by proper agronomy and fungicide use.
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Zhang W, Boyle K, Brûlé-Babel AL, Fedak G, Gao P, Robleh Djama Z, Polley B, Cuthbert RD, Randhawa HS, Jiang F, Eudes F, Fobert PR. Genetic Characterization of Multiple Components Contributing to Fusarium Head Blight Resistance of FL62R1, a Canadian Bread Wheat Developed Using Systemic Breeding. Front Plant Sci 2020; 11:580833. [PMID: 33193525 PMCID: PMC7649146 DOI: 10.3389/fpls.2020.580833] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 09/16/2020] [Indexed: 05/07/2023]
Abstract
Fusarium head blight (FHB) is a devastating fungal disease of small-grain cereals that results in severe yield and quality losses. FHB resistance is controlled by resistance components including incidence, field severity, visual rating index, Fusarium damaged kernels (FDKs), and the accumulation of the mycotoxin deoxynivalenol (DON). Resistance conferred by each of these components is partial and must be combined to achieve resistance sufficient to protect wheat from yield losses. In this study, two biparental mapping populations were analyzed in Canadian FHB nurseries and quantitative trait loci (QTL) mapped for the traits listed above. Nine genomic loci, on 2AS, 2BS, 3BS, 4AS, 4AL, 4BS, 5AS, 5AL, and 5BL, were enriched for the majority of the QTL controlling FHB resistance. The previously validated FHB resistance QTL on 3BS and 5AS affected resistance to severity, FDK, and DON in these populations. The remaining seven genomic loci colocalize with flowering time and/or plant height QTL. The QTL on 4B was a major contributor to all field resistance traits and plant height in the field. QTL on 4AL showed contrasting effects for FHB resistance between Eastern and Western Canada, indicating a local adapted resistance to FHB. In addition, we also found that the 2AS QTL contributed a major effect for DON, and the 2BS for FDK, while the 5AL conferred mainly effect for both FDK/DON. Results presented here provide insight into the genetic architecture underlying these resistant components and insight into how FHB resistance in wheat is controlled by a complex network of interactions between genes controlling flowering time, plant height, local adaption, and FHB resistance components.
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Affiliation(s)
- Wentao Zhang
- Aquatic and Crop Resources Development, National Research Council of Canada, Saskatoon, SK, Canada
| | - Kerry Boyle
- Aquatic and Crop Resources Development, National Research Council of Canada, Saskatoon, SK, Canada
| | | | - George Fedak
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
| | - Peng Gao
- Aquatic and Crop Resources Development, National Research Council of Canada, Saskatoon, SK, Canada
| | - Zeinab Robleh Djama
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
- Aquatic and Crop Resources Development, National Research Council of Canada, Ottawa, ON, Canada
| | - Brittany Polley
- Aquatic and Crop Resources Development, National Research Council of Canada, Saskatoon, SK, Canada
| | - Richard D. Cuthbert
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Harpinder S. Randhawa
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB, Canada
| | - Fengying Jiang
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB, Canada
| | - François Eudes
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB, Canada
| | - Pierre R. Fobert
- Aquatic and Crop Resources Development, National Research Council of Canada, Saskatoon, SK, Canada
- Aquatic and Crop Resources Development, National Research Council of Canada, Ottawa, ON, Canada
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Liu Y, Ma Y, Salsman E, Manthey FA, Elias EM, Li X, Yan C. An enrichment method for mapping ambiguous reads to the reference genome for NGS analysis. J Bioinform Comput Biol 2020; 17:1940012. [PMID: 32019414 DOI: 10.1142/s0219720019400122] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Mapping short reads to a reference genome is an essential step in many next-generation sequencing (NGS) analyses. In plants with large genomes, a large fraction of the reads can align to multiple locations of the genome with equally good alignment scores. How to map these ambiguous reads to the genome is a challenging problem with big impacts on the downstream analysis. Traditionally, the default method is to assign an ambiguous read randomly to one of the many potential locations. In this study, we explore two alternative methods that are based on the hypothesis that the possibility of an ambiguous read being generated by a location is proportional to the total number of reads produced by that location: (1) the enrichment method that assigns an ambiguous read to the location that has produced the most reads among all the potential locations, (2) the probability method that assigns an ambiguous read to a location based on a probability proportional to the number of reads the location produces. We systematically compared the performance of the proposed methods with that of the default random method. Our results showed that the enrichment method produced better results than the default random method and the probability method in the discovery of single nucleotide polymorphisms (SNPs). Not only did it produce more SNP markers, but it also produced SNP markers with better quality, which was demonstrated using multiple mainstay genomic analyses, including genome-wide association studies (GWAS), minor allele distribution, population structure, and genomic prediction.
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Affiliation(s)
- Yuan Liu
- Department of Computer Science, North Dakota State University, Fargo, North Dakota 58102, USA
| | - Yongchao Ma
- Department of Computer Science, North Dakota State University, Fargo, North Dakota 58102, USA
| | - Evan Salsman
- Department of Plant Sciences, North Dakota State University, Fargo, North Dakota 58102, USA
| | - Frank A Manthey
- Department of Plant Sciences, North Dakota State University, Fargo, North Dakota 58102, USA
| | - Elias M Elias
- Department of Plant Sciences, North Dakota State University, Fargo, North Dakota 58102, USA
| | - Xuehui Li
- Department of Plant Sciences, North Dakota State University, Fargo, North Dakota 58102, USA
| | - Changhui Yan
- Department of Computer Science, North Dakota State University, Fargo, North Dakota 58102, USA
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Mesterhazy A, Gyorgy A, Varga M, Toth B. Methodical Considerations and Resistance Evaluation against F. graminearum and F. culmorum Head Blight in Wheat. The Influence of Mixture of Isolates on Aggressiveness and Resistance Expression. Microorganisms 2020; 8:microorganisms8071036. [PMID: 32668673 PMCID: PMC7409127 DOI: 10.3390/microorganisms8071036] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 07/07/2020] [Accepted: 07/08/2020] [Indexed: 01/10/2023] Open
Abstract
In resistance tests to Fusarium head blight (FHB), the mixing of inocula before inoculation is normal, but no information about the background of mixing was given. Therefore, four experiments (2013–2015) were made with four independent isolates, their all-possible (11) mixtures and a control. Four cultivars with differing FHB resistance were used. Disease index (DI), Fusarium damaged kernels (FDK) and deoxynivalenol (DON) were evaluated. The isolates used were not stable in aggressiveness. Their mixtures did not also give a stable aggressiveness; it depended on the composition of mix. The three traits diverged in their responses. After the mixing, the aggressiveness was always less than that of the most pathogenic component was. However, in most cases it was significantly higher than the arithmetical mean of the participating isolates. A mixture was not better than a single isolate was. The prediction of the aggressiveness level is problematic even if the aggressiveness of the components was tested. Resistance expression is different in the mixing variants and in the three traits tested. Of them, DON is the most sensitive. More reliable resistance and toxin data can be received when instead of one more independent isolates are used. This is important when highly correct data are needed (genetic research or cultivar registration).
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Affiliation(s)
- Akos Mesterhazy
- Cereal Research Non-Profit Ltd., 6726 Szeged, Hungary; (M.V.); (B.T.)
- Correspondence:
| | - Andrea Gyorgy
- NAIK Department of Field Crops Research, 6726 Szeged, Hungary;
| | - Monika Varga
- Cereal Research Non-Profit Ltd., 6726 Szeged, Hungary; (M.V.); (B.T.)
| | - Beata Toth
- Cereal Research Non-Profit Ltd., 6726 Szeged, Hungary; (M.V.); (B.T.)
- NAIK Department of Field Crops Research, 6726 Szeged, Hungary;
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Mellers G, Aguilera JG, Bird N, Variani Bonato AL, Bonow S, Caierão E, Consoli L, Santana FM, Simmonds J, Steed A, Montan Torres GA, Uauy C, Wright TIC, Scheeren PL, Nicholson P, Cockram J. Genetic Characterization of a Wheat Association Mapping Panel Relevant to Brazilian Breeding Using a High-Density Single Nucleotide Polymorphism Array. G3 (Bethesda) 2020; 10:2229-39. [PMID: 32350030 DOI: 10.1534/g3.120.401234] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Bread wheat (Triticum aestivum L.) is one of the world’s most important crops. Maintaining wheat yield gains across all of its major production areas is a key target toward underpinning global food security. Brazil is a major wheat producer in South America, generating grain yields of around 6.8 million tons per year. Here, we establish and genotype a wheat association mapping resource relevant to contemporary Brazilian wheat breeding programs. The panel of 558 wheat accessions was genotyped using an Illumina iSelect 90,000 single nucleotide polymorphism array. Following quality control, the final data matrix consisted of 470 accessions and 22,475 polymorphic genetic markers (minor allele frequency ≥5%, missing data <5%). Principal component analysis identified distinct differences between materials bred predominantly for the northern Cerrado region, compared to those bred for southern Brazilian agricultural areas. We augmented the genotypic data with 26 functional Kompetitive Allele-Specific PCR (KASP) markers to identify the allelic combinations at genes with previously known effects on agronomically important traits in the panel. This highlighted breeding targets for immediate consideration – notably, increased Fusarium head blight resistance via the Fhb1 locus. To demonstrate the panel’s likely future utility, genome-wide association scans for several phenotypic traits were undertaken. Significant (Bonferroni corrected P < 0.05) marker-trait associations were detected for Fusarium kernel damage (a proxy for type 2 Fusarium resistance), identifying previously known quantitative trait loci in the panel. This association mapping panel represents an important resource for Brazilian wheat breeding, allowing future genetic studies to analyze multiple agronomic traits within a single genetically diverse population.
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Khan MK, Pandey A, Athar T, Choudhary S, Deval R, Gezgin S, Hamurcu M, Topal A, Atmaca E, Santos PA, Omay MR, Suslu H, Gulcan K, Inanc M, Akkaya MS, Kahraman A, Thomas G. Fusarium head blight in wheat: contemporary status and molecular approaches. 3 Biotech 2020; 10:172. [PMID: 32206506 PMCID: PMC7080935 DOI: 10.1007/s13205-020-2158-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Accepted: 02/28/2020] [Indexed: 02/07/2023] Open
Abstract
Fusarium head blight (FHB) disease that occurs in wheat is caused by Fusarium graminearum and is a major risk to wheat yield. Although several research efforts focusing on FHB have been conducted in the past several decades, conditions have become more critical due to the increase in its virulent forms. In such a scenario, conferring complete resistance in plants seems to be difficult for handling this issue. The phenotyping for FHB and finding a solution for it at the genetic level comprises a long-term process as FHB infection is largely affected by environmental conditions. Modern molecular strategies have played a crucial role in revealing the host-pathogen interaction in FHB. The integration of molecular biology-based methods such as genome-wide association studies and marker-based genomic selection has provided potential cultivars for breeding programs. In this review, we aim at outlining the contemporary status of the studies conducted on FHB in wheat. The influence of FHB in wheat on animals and human health is also discussed. In addition, a summary of the advancement in the molecular technologies for identifying and developing the FHB-resistant wheat genetic resources is provided. It also suggests the future measures that are required to reduce the world's vulnerability to FHB which was one of the main goals of the US Wheat and Barley Scab Initiative.
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Affiliation(s)
- Mohd. Kamran Khan
- Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Selcuk University, Konya, 42079 Turkey
| | - Anamika Pandey
- Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Selcuk University, Konya, 42079 Turkey
| | - Tabinda Athar
- Faculty of Agriculture, Institute of Soil and Environmental Sciences, University of Agriculture Faisalabad, Faisalabad, 38040 Pakistan
| | - Saumya Choudhary
- Department of Molecular and Cellular Engineering, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, 211007 India
- Biomedical Informatics Centre, National Institute of Pathology–Indian Council of Medical Research, New Delhi, 110029 India
| | - Ravi Deval
- Department of Biotechnology, Invertis University, Bareilly, India
| | - Sait Gezgin
- Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Selcuk University, Konya, 42079 Turkey
| | - Mehmet Hamurcu
- Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Selcuk University, Konya, 42079 Turkey
| | - Ali Topal
- Department of Field Crops, Selcuk University, Konya, 42079 Turkey
| | - Emel Atmaca
- Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Selcuk University, Konya, 42079 Turkey
| | - Pamela Aracena Santos
- Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Selcuk University, Konya, 42079 Turkey
| | - Makbule Rumeysa Omay
- Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Selcuk University, Konya, 42079 Turkey
| | - Hatice Suslu
- Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Selcuk University, Konya, 42079 Turkey
| | - Kamer Gulcan
- Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Selcuk University, Konya, 42079 Turkey
| | - Merve Inanc
- Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Selcuk University, Konya, 42079 Turkey
| | - Mahinur S. Akkaya
- School of Bioengineering, Dalian University of Technology, No. 2 Linggong Road, Dalian, 116023 Liaoning China
| | - Abdullah Kahraman
- Department of Field Crops, Faculty of Agriculture, Harran University, Sanliurfa, 63300 Turkey
| | - George Thomas
- Department of Molecular and Cellular Engineering, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, 211007 India
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