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Li YD, Liu YC, Jiang YX, Namisy A, Chung WH, Sun YH, Chen SY. Analyzing genetic diversity in luffa and developing a Fusarium wilt-susceptible linked SNP marker through a single plant genome-wide association (sp-GWAS) study. BMC Plant Biol 2024; 24:307. [PMID: 38644483 PMCID: PMC11034075 DOI: 10.1186/s12870-024-05022-7] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 04/15/2024] [Indexed: 04/23/2024]
Abstract
BACKGROUND Luffa (Luffa spp.) is an economically important crop of the Cucurbitaceae family, commonly known as sponge gourd or vegetable gourd. It is an annual cross-pollinated crop primarily found in the subtropical and tropical regions of Asia, Australia, Africa, and the Americas. Luffa serves not only as a vegetable but also exhibits medicinal properties, including anti-inflammatory, antidiabetic, and anticancer effects. Moreover, the fiber derived from luffa finds extensive applications in various fields such as biotechnology and construction. However, luffa Fusarium wilt poses a severe threat to its production, and existing control methods have proven ineffective in terms of cost-effectiveness and environmental considerations. Therefore, there is an urgent need to develop luffa varieties resistant to Fusarium wilt. Single-plant GWAS (sp-GWAS) has been demonstrated as a promising tool for the rapid and efficient identification of quantitative trait loci (QTLs) associated with target traits, as well as closely linked molecular markers. RESULTS In this study, a collection of 97 individuals from 73 luffa accessions including two major luffa species underwent single-plant GWAS to investigate luffa Fusarium wilt resistance. Utilizing the double digest restriction site associated DNA (ddRAD) method, a total of 8,919 high-quality single nucleotide polymorphisms (SNPs) were identified. The analysis revealed the potential for Fusarium wilt resistance in accessions from both luffa species. There are 6 QTLs identified from 3 traits, including the area under the disease progress curve (AUDPC), a putative disease-resistant QTL, was identified on the second chromosome of luffa. Within the region of linkage disequilibrium, a candidate gene homologous to LOC111009722, which encodes peroxidase 40 and is associated with disease resistance in Cucumis melo, was identified. Furthermore, to validate the applicability of the marker associated with resistance from sp-GWAS, an additional set of 21 individual luffa plants were tested, exhibiting 93.75% accuracy in detecting susceptible of luffa species L. aegyptiaca Mill. CONCLUSION In summary, these findings give a hint of genome position that may contribute to luffa wild resistance to Fusarium and can be utilized in the future luffa wilt resistant breeding programs aimed at developing wilt-resistant varieties by using the susceptible-linked SNP marker.
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Affiliation(s)
- Yun-Da Li
- Department of Agronomy, National Chung-Hsing University, Taichung, Taiwan
| | - Yu-Chi Liu
- Department of Agronomy, National Chung-Hsing University, Taichung, Taiwan
| | - Yu-Xuan Jiang
- Department of Agronomy, National Chung-Hsing University, Taichung, Taiwan
| | - Ahmed Namisy
- Department of Plant Pathology, National Chung-Hsing University, Taichung, Taiwan
| | - Wen-Hsin Chung
- Department of Plant Pathology, National Chung-Hsing University, Taichung, Taiwan
| | - Ying-Hsuan Sun
- Department of Forestry, National Chung-Hsing University, Taichung, Taiwan
| | - Shu-Yun Chen
- Department of Agronomy, National Chung-Hsing University, Taichung, Taiwan.
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Montesinos-López A, Gutiérrez-Pulido H, Ramos-Pulido S, Montesinos-López JC, Montesinos-López OA, Crossa J. Bayesian discrete lognormal regression model for genomic prediction. Theor Appl Genet 2024; 137:21. [PMID: 38221602 DOI: 10.1007/s00122-023-04526-4] [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] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 12/11/2023] [Indexed: 01/16/2024]
Abstract
KEY MESSAGE Genomic prediction models for quantitative traits assume continuous and normally distributed phenotypes. In this research, we proposed a novel Bayesian discrete lognormal regression model. Genomic selection is a powerful tool in modern breeding programs that uses genomic information to predict the performance of individuals and select those with desirable traits. It has revolutionized animal and plant breeding, as it allows breeders to identify the best candidates without labor-intensive and time-consuming phenotypic evaluations. While several statistical models have been developed, most of them have been for quantitative continuous traits and only a few for count responses. In this paper, we propose a discrete lognormal regression model in the Bayesian context, that with a Gibbs sampler to explore the corresponding posterior distribution and make the predictions. Two datasets of resistance disease is used in the wheat crop and are then evaluated against the traditional Gaussian model and a lognormal model. The results indicate the proposed model is a competitive and natural model for predicting count genomic traits.
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Affiliation(s)
- Abelardo Montesinos-López
- Departamento de Matemáticas, Centro Universitario de Ciencias Exactas e Ingenierías (CUCEI), Universidad de Guadalajara, C. P. 44430, Guadalajara, Jalisco, México
| | - Humberto Gutiérrez-Pulido
- Departamento de Matemáticas, Centro Universitario de Ciencias Exactas e Ingenierías (CUCEI), Universidad de Guadalajara, C. P. 44430, Guadalajara, Jalisco, México
| | - Sofía Ramos-Pulido
- Departamento de Matemáticas, Centro Universitario de Ciencias Exactas e Ingenierías (CUCEI), Universidad de Guadalajara, C. P. 44430, Guadalajara, Jalisco, México
| | | | | | - José Crossa
- International Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, C. P. 56237, Texcoco, Edo. de México, México.
- Colegio de Postgraduados, C. P. 56230, Montecillos, Edo. de México, México.
- Centre for Crop & Food Innovation, Food Futures Institute, Murdoch University, Murdoch, 6150, Australia.
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Haile JK, Sertse D, N’Diaye A, Klymiuk V, Wiebe K, Ruan Y, Chawla HS, Henriquez MA, Wang L, Kutcher HR, Steiner B, Buerstmayr H, Pozniak CJ. Multi-locus genome-wide association studies reveal the genetic architecture of Fusarium head blight resistance in durum wheat. Front Plant Sci 2023; 14:1182548. [PMID: 37900749 PMCID: PMC10601657 DOI: 10.3389/fpls.2023.1182548] [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] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 09/18/2023] [Indexed: 10/31/2023]
Abstract
Durum wheat is more susceptible to Fusarium head blight (FHB) than other types or classes of wheat. The disease is one of the most devastating in wheat; it reduces yield and end-use quality and contaminates the grain with fungal mycotoxins such as deoxynivalenol (DON). A panel of 265 Canadian and European durum wheat cultivars, as well as breeding and experimental lines, were tested in artificially inoculated field environments (2019-2022, inclusive) and two greenhouse trials (2019 and 2020). The trials were assessed for FHB severity and incidence, visual rating index, Fusarium-damaged kernels, DON accumulation, anthesis or heading date, maturity date, and plant height. In addition, yellow pigment and protein content were analyzed for the 2020 field season. To capture loci underlying FHB resistance and related traits, GWAS was performed using single-locus and several multi-locus models, employing 13,504 SNPs. Thirty-one QTL significantly associated with one or more FHB-related traits were identified, of which nine were consistent across environments and associated with multiple FHB-related traits. Although many of the QTL were identified in regions previously reported to affect FHB, the QTL QFhb-3B.2, associated with FHB severity, incidence, and DON accumulation, appears to be novel. We developed KASP markers for six FHB-associated QTL that were consistently detected across multiple environments and validated them on the Global Durum Panel (GDP). Analysis of allelic diversity and the frequencies of these revealed that the lines in the GDP harbor between zero and six resistance alleles. This study provides a comprehensive assessment of the genetic basis of FHB resistance and DON accumulation in durum wheat. Accessions with multiple favorable alleles were identified and will be useful genetic resources to improve FHB resistance in durum breeding programs through marker-assisted recurrent selection and gene stacking.
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Affiliation(s)
- Jemanesh K. Haile
- Department of Plant Sciences, Crop Development Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Demissew Sertse
- Aquatic and Crop Resource Development, National Research Council Canada, Saskatoon, SK, Canada
| | - Amidou N’Diaye
- Department of Plant Sciences, Crop Development Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Valentyna Klymiuk
- Department of Plant Sciences, Crop Development Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Krystalee Wiebe
- Department of Plant Sciences, Crop Development Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Yuefeng Ruan
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Harmeet S. Chawla
- Department of Plant Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Maria-Antonia Henriquez
- Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB, Canada
| | - Lipu Wang
- Department of Plant Sciences, Crop Development Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Hadley R. Kutcher
- Department of Plant Sciences, Crop Development Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Barbara Steiner
- Department of Agrobiotechnology, Institute of Biotechnology in Plant Production, University of Natural Resources and Life Sciences Vienna, Tulln, Austria
| | - Hermann Buerstmayr
- Department of Agrobiotechnology, Institute of Biotechnology in Plant Production, University of Natural Resources and Life Sciences Vienna, Tulln, Austria
| | - Curtis J. Pozniak
- Department of Plant Sciences, Crop Development Centre, University of Saskatchewan, Saskatoon, SK, Canada
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Zhou F, Han A, Jiao Y, Cao Y, Wang L, Hu H, Liu R, Li C. Exploring the Potential Mechanism of Prothioconazole Resistance in Fusarium graminearum in China. J Fungi (Basel) 2023; 9:1001. [PMID: 37888257 PMCID: PMC10607755 DOI: 10.3390/jof9101001] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 10/05/2023] [Accepted: 10/06/2023] [Indexed: 10/28/2023] Open
Abstract
The Fusarium head blight (FHB) caused by Fusarium graminearum is one of the most important diseases threatening wheat production in China. However, the triazole sterol 14α-demethylation inhibitor (DMI), prothioconazole, is known to exhibit high activity against F. graminearum. The current study indicated that three highly resistant laboratory mutants exhibited significantly (p < 0.05) altered growth and sporulation, although contrary to expectation, only one of the mutants exhibited reduced growth and sporulation, while the other two exhibited significant (p < 0.05) increases. Despite this, pathogenicity tests revealed that all of the mutants exhibited significantly (p < 0.05) reduced pathogenicity, indicating a substantial cost to fitness. Sequence analysis of the prothioconazole target protein, CYP51, of which F. graminearum has three homologues (FgCYP51A, FgCYP51B, and FgCYP51C), identified three mutations in the FgCYP51B sequence with a high likelihood of being associated with the observed resistance, as well as another three mutations in the FgCYP51B sequence, and two in the FgCYP51A sequence that are worthy of further investigation. Two of the prothioconazole-resistant mutants were also found to have several amino acid substitutions in their FgCYP51C sequences, and it was interesting to note that these two mutants exhibited significantly (p < 0.05) reduced pathogenicity compared to the other mutant. Expression analysis revealed that prothioconazole treatment (0.1 μg/mL) resulted in altered expression of all the FgCYP51 target genes, and that expression was also altered in the prothioconazole-resistant mutants compared to their wild-type parental isolates. Meanwhile, no evidence was found of any cross-resistance between prothioconazole and other commonly used fungicides, including carbendazim, pyraclostrobin, and fluazinam, as well as the triazole tebuconazole and the imidazole DMI prochloraz. Taken together, these results not only provide new insight into potential resistance mechanism in F. graminearum, and the biological characteristics associated with them, but also convincing evidence that prothioconazole can offer effective control of FHB.
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Affiliation(s)
- Feng Zhou
- Henan Engineering Research Center of Green Pesticide Creation and Pesticide Residue Monitoring by Intelligent Sensor, Henan Institute of Science and Technology, Xinxiang 453003, China; (F.Z.); (A.H.); (Y.J.); (Y.C.); (L.W.)
- Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, Henan Institute of Science and Technology, Xinxiang 453003, China;
- School of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
- Henan Engineering Research Center of Biological Pesticide & Fertilizer Development and Synergistic Application, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Aohui Han
- Henan Engineering Research Center of Green Pesticide Creation and Pesticide Residue Monitoring by Intelligent Sensor, Henan Institute of Science and Technology, Xinxiang 453003, China; (F.Z.); (A.H.); (Y.J.); (Y.C.); (L.W.)
- Henan Engineering Research Center of Biological Pesticide & Fertilizer Development and Synergistic Application, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Yan Jiao
- Henan Engineering Research Center of Green Pesticide Creation and Pesticide Residue Monitoring by Intelligent Sensor, Henan Institute of Science and Technology, Xinxiang 453003, China; (F.Z.); (A.H.); (Y.J.); (Y.C.); (L.W.)
- Henan Engineering Research Center of Biological Pesticide & Fertilizer Development and Synergistic Application, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Yifan Cao
- Henan Engineering Research Center of Green Pesticide Creation and Pesticide Residue Monitoring by Intelligent Sensor, Henan Institute of Science and Technology, Xinxiang 453003, China; (F.Z.); (A.H.); (Y.J.); (Y.C.); (L.W.)
- Henan Engineering Research Center of Biological Pesticide & Fertilizer Development and Synergistic Application, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Longhe Wang
- Henan Engineering Research Center of Green Pesticide Creation and Pesticide Residue Monitoring by Intelligent Sensor, Henan Institute of Science and Technology, Xinxiang 453003, China; (F.Z.); (A.H.); (Y.J.); (Y.C.); (L.W.)
- Henan Engineering Research Center of Biological Pesticide & Fertilizer Development and Synergistic Application, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Haiyan Hu
- Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, Henan Institute of Science and Technology, Xinxiang 453003, China;
| | - Runqiang Liu
- Henan Engineering Research Center of Green Pesticide Creation and Pesticide Residue Monitoring by Intelligent Sensor, Henan Institute of Science and Technology, Xinxiang 453003, China; (F.Z.); (A.H.); (Y.J.); (Y.C.); (L.W.)
- Henan Engineering Research Center of Biological Pesticide & Fertilizer Development and Synergistic Application, Henan Institute of Science and Technology, Xinxiang 453003, China
| | - Chengwei Li
- Henan Engineering Research Center of Crop Genome Editing/Henan International Joint Laboratory of Plant Genetic Improvement and Soil Remediation, Henan Institute of Science and Technology, Xinxiang 453003, China;
- School of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
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Wang D, Zhao Y, Zhao X, Ji M, Guo X, Tian J, Chen G, Deng Z. Genome-wide association analysis of type II resistance to Fusarium head blight in common wheat. PeerJ 2023; 11:e15906. [PMID: 37750077 PMCID: PMC10518165 DOI: 10.7717/peerj.15906] [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] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 07/26/2023] [Indexed: 09/27/2023] Open
Abstract
Background Fusarium head blight (FHB) is a disease affecting wheat spikes caused by some Fusarium species and leads to cases of severe yield reduction and seed contamination. Identifying resistance genes/QTLs from wheat germplasm may help to improve FHB resistance in wheat production. Methods Our study evaluated 205 elite winter wheat cultivars for FHB resistance. A high-density 90K SNP array was used for genotyping the panel. A genome-wide association study (GWAS) from cultivars from three different environments was performed using a mixed linear model (MLM). Results Sixty-six significant marker-trait associations (MTAs) were identified (P < 0.001) on fifteen chromosomes that explained the phenotypic variation ranging from 5.4 to 11.2%. Some important new MTAs in genomic regions involving FHB resistance were found on chromosomes 2A, 3B, 5B, 6A, and 7B. Six MTAs at 92 cM on chromosome 7B were found in cultivars from two different environments. Moreover, there were 11 MTAs consistently associated with diseased spikelet rate and diseased rachis rate as pleiotropic effect loci and D_contig74317_533 on chromosome 5D was novel for FHB resistance. Eight new candidate genes of FHB resistance were predicated in wheat in this study. Three candidate genes, TraesCS5D02G006700, TraesCS6A02G013600, and TraesCS7B02G370700 on chromosome 5DS, 6AS, and 7BL, respectively, were perhaps important in defending against FHB by regulating intramolecular transferase activity, GTP binding, or chitinase activity in wheat, but further validation in needed. In addition, a total of five favorable alleles associated with wheat FHB resistance were discovered. These results provide important genes/loci for enhancing FHB resistance in wheat breeding by marker-assisted selection.
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Affiliation(s)
- Dehua Wang
- State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai’an, Shandong, China
| | - Yunzhe Zhao
- State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai’an, Shandong, China
| | - Xinying Zhao
- State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai’an, Shandong, China
| | - Mengqi Ji
- State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai’an, Shandong, China
| | - Xin Guo
- Taiyuan Agro-Tech Extension and Service Center, Taiyuan, Shanxi, China
| | - Jichun Tian
- State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai’an, Shandong, China
- Shandong Huatian Agricultural Technology Co., Ltd, Tai’an, Shandong, China
| | - Guangfeng Chen
- College of Ecology and Garden Architecture, Dezhou University, Dezhou, Shandong, China
| | - Zhiying Deng
- State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai’an, Shandong, China
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Mir ZA, Chandra T, Saharan A, Budhlakoti N, Mishra DC, Saharan MS, Mir RR, Singh AK, Sharma S, Vikas VK, Kumar S. Recent advances on genome-wide association studies (GWAS) and genomic selection (GS); prospects for Fusarium head blight research in Durum wheat. Mol Biol Rep 2023; 50:3885-3901. [PMID: 36826681 DOI: 10.1007/s11033-023-08309-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 01/26/2023] [Indexed: 02/25/2023]
Abstract
PURPOSE Wheat is an important cereal crop that is cultivated in different parts of the world. The biotic stresses are the major concerns in wheat-growing nations and are responsible for production loss globally. The change in climate dynamics makes the pathogen more virulent in foothills and tropical regions. There is growing concern about FHB in major wheat-growing nations, and until now, there has been no known potential source of resistance identified in wheat germplasm. The plant pathogen interaction activates the cascade of pathways, genes, TFs, and resistance genes. Pathogenesis-related genes' role in disease resistance is functionally validated in different plant systems. Similarly, Genomewide association Studies (GWAS) and Genomic selection (GS) are promising tools and have led to the discovery of resistance genes, genomic regions, and novel markers. Fusarium graminearum produces deoxynivalenol (DON) mycotoxins in wheat kernels, affecting wheat productivity globally. Modern technology now allows for detecting and managing DON toxin to reduce the risk to humans and animals. This review offers a comprehensive overview of the roles played by GWAS and Genomic selection (GS) in the identification of new genes, genetic variants, molecular markers and DON toxin management strategies. METHODS The review offers a comprehensive and in-depth analysis of the function of Fusarium graminearum virulence factors in Durum wheat. The role of GWAS and GS for Fusarium Head Blight (FHB) resistance has been well described. This paper provides a comprehensive description of the various statistical models that are used in GWAS and GS. In this review, we look at how different detection methods have been used to analyze and manage DON toxin exposure. RESULTS This review highlights the role of virulent genes in Fusarium disease establishment. The role of genome-based selection offers the identification of novel QTLs in resistant wheat germplasm. The role of GWAS and GS selection has minimized the use of population development through breeding technology. Here, we also emphasized the function of recent technological developments in minimizing the impact of DON toxins and their implications for food safety.
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Affiliation(s)
- Zahoor Ahmad Mir
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, 110012, India
| | - Tilak Chandra
- ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India
| | - Anurag Saharan
- ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Neeraj Budhlakoti
- ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India
| | - D C Mishra
- ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India
| | - M S Saharan
- ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Reyazul Rouf Mir
- Division of Genetics and Plant Breeding, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir (SKUAST-Kashmir), Srinagar, Jammu Kashmir, 190025, India
| | - Amit Kumar Singh
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, 110012, India
| | - Soumya Sharma
- ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India
| | - V K Vikas
- ICAR- Indian Agricultural Research Institute, Regional Station, Wellington, The Nilgiris, Tamilnadu, 643231, India.
| | - Sundeep Kumar
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, 110012, India.
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Kaur S, Gill HS, Breiland M, Kolmer JA, Gupta R, Sehgal SK, Gill U. Identification of leaf rust resistance loci in a geographically diverse panel of wheat using genome-wide association analysis. Front Plant Sci 2023; 14:1090163. [PMID: 36818858 PMCID: PMC9929074 DOI: 10.3389/fpls.2023.1090163] [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] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 01/16/2023] [Indexed: 06/18/2023]
Abstract
Leaf rust, caused by Puccinia triticina (Pt) is among the most devastating diseases posing a significant threat to global wheat production. The continuously evolving virulent Pt races in North America calls for exploring new sources of leaf rust resistance. A diversity panel of 365 bread wheat accessions selected from a worldwide population of landraces and cultivars was evaluated at the seedling stage against four Pt races (TDBJQ, TBBGS, MNPSD and, TNBJS). A wide distribution of seedling responses against the four Pt races was observed. Majority of the genotypes displayed a susceptible response with only 28 (9.8%), 59 (13.5%), 45 (12.5%), and 29 (8.1%) wheat accessions exhibiting a highly resistant response to TDBJQ, TBBGS, MNPSD and, TNBJS, respectively. Further, we conducted a high-resolution multi-locus genome-wide association study (GWAS) using a set of 302,524 high-quality single nucleotide polymorphisms (SNPs). The GWAS analysis identified 27 marker-trait associations (MTAs) for leaf rust resistance on different wheat chromosomes of which 20 MTAs were found in the vicinity of known Lr genes, MTAs, or quantitative traits loci (QTLs) identified in previous studies. The remaining seven significant MTAs identified represent genomic regions that harbor potentially novel genes for leaf rust resistance. Furthermore, the candidate gene analysis for the significant MTAs identified various genes of interest that may be involved in disease resistance. The identified resistant lines and SNPs linked to the QTLs in this study will serve as valuable resources in wheat rust resistance breeding programs.
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Affiliation(s)
- Shivreet Kaur
- Department of Plant Pathology, North Dakota State University, Fargo, ND, United States
| | - Harsimardeep S. Gill
- Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, United States
| | - Matthew Breiland
- Department of Plant Pathology, North Dakota State University, Fargo, ND, United States
| | - James A. Kolmer
- Cereal Disease Laboratory, United States Department of Agriculture-Agricultural Research Service (USDA-ARS), St. Paul, MN, United States
| | - Rajeev Gupta
- Cereal Crops Research Unit, Edward T. Schafer Agricultural Research Center, United States Department of Agriculture-Agricultural Research Service (USDA-ARS), Fargo, ND, United States
| | - Sunish K. Sehgal
- Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, United States
| | - Upinder Gill
- Department of Plant Pathology, North Dakota State University, Fargo, ND, United States
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Hu W, Gao D, Zhang Y, Zheng X, Lu C, Wu H, Xu W, Cheng S, Jia J. Mapping Quantitative Trait Loci for Type II Fusarium Head Blight Resistance in Two Wheat Recombinant Inbred Line Populations Derived from Yangmai 4 and Yangmai 5. Plant Dis 2023; 107:422-430. [PMID: 35881872 DOI: 10.1094/pdis-06-22-1338-re] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Fusarium head blight (FHB) is a destructive wheat disease worldwide and significantly affects grain yield and quality in wheat. To understand the genetic basis underlying type II FHB resistance in two elite wheat cultivars-Yangmai 4 (YM4) and Yangmai 5 (YM5)-quantitative trait loci (QTL) mapping was conducted in two recombinant inbred line (RIL) populations derived from the crosses of YM4 and YM5 with susceptible cultivar Yanzhan 1 (YZ1), respectively. A survey with markers linked to Fhb1, Fhb2, Fhb4, and Fhb5 in landrace Wangshuibai indicated the nonexistence of these known FHB resistance genes or QTL in YM4, YM5, and YZ1. One overlapped resistance QTL was identified in both RIL populations (namely, QFhb.Y4.2D/QFhb.Y5.2D) with a large effect on FHB resistance. One novel resistance QTL (QFhb.Y4.5A) mapped on chromosome 5A was detected only in the YM4/YZ1 population. The resistance alleles of both QFhb.Y4.2D/QFhb.Y5.2D and QFhb.Y4.5A did not increase the plant height and did not significantly affect the heading date and flowering date. Kompetitive allele-specific PCR markers for QFhb.Y4.2D/QFhb.Y5.2D and QFhb.Y4.5A had been developed to verify in an additional set of 244 geographically diverse cultivars or lines. Pyramiding of the two resistance alleles decreased the percentage of symptomatic spikelets by 51.77% relative to the cultivars or lines without these two resistance alleles. QFhb.Y4.2D/QFhb.Y5.2D and QFhb.Y4.5A were shown to be useful alternatives in FHB resistance breeding programs. The results will facilitate marker-assisted selection for introgression of the favorable alleles for improving FHB resistance in breeding programs.
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Affiliation(s)
- Wenjing Hu
- College of Agronomy & Center for Crop Genome Engineering, Henan Agricultural University, Zhengzhou, Henan 450046, China
- Key Laboratory of Wheat Biology and Genetic Improvement for Low & Middle Yangtze Valley, Ministry of Agriculture and Rural Affairs, Lixiahe Institute of Agricultural Sciences, Yangzhou, Jiangsu 225007, China
| | - Derong Gao
- Key Laboratory of Wheat Biology and Genetic Improvement for Low & Middle Yangtze Valley, Ministry of Agriculture and Rural Affairs, Lixiahe Institute of Agricultural Sciences, Yangzhou, Jiangsu 225007, China
| | - Yong Zhang
- Key Laboratory of Wheat Biology and Genetic Improvement for Low & Middle Yangtze Valley, Ministry of Agriculture and Rural Affairs, Lixiahe Institute of Agricultural Sciences, Yangzhou, Jiangsu 225007, China
| | - Xu Zheng
- College of Agronomy & Center for Crop Genome Engineering, Henan Agricultural University, Zhengzhou, Henan 450046, China
| | - Chengbin Lu
- Key Laboratory of Wheat Biology and Genetic Improvement for Low & Middle Yangtze Valley, Ministry of Agriculture and Rural Affairs, Lixiahe Institute of Agricultural Sciences, Yangzhou, Jiangsu 225007, China
| | - Hongya Wu
- Key Laboratory of Wheat Biology and Genetic Improvement for Low & Middle Yangtze Valley, Ministry of Agriculture and Rural Affairs, Lixiahe Institute of Agricultural Sciences, Yangzhou, Jiangsu 225007, China
| | - Weigang Xu
- Institute of Crop Molecular Breeding/National Engineering Laboratory of Wheat/Key Laboratory of Wheat Biology and Genetic Breeding in Central Huanghuai Area/Ministry of Agriculture/Henan Key Laboratory of Wheat Germplasm Resources Innovation and Improvement, Henan Academy of Agricultural Sciences, Zhengzhou, Henan 450002, China
| | - Shunhe Cheng
- Key Laboratory of Wheat Biology and Genetic Improvement for Low & Middle Yangtze Valley, Ministry of Agriculture and Rural Affairs, Lixiahe Institute of Agricultural Sciences, Yangzhou, Jiangsu 225007, China
| | - Jizeng Jia
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
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9
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Radecka-Janusik M, Piechota U, Piaskowska D, Góral T, Czembor P. Evaluation of Fusarium Head Blight Resistance Effects by Haplotype-Based Genome-Wide Association Study in Winter Wheat Lines Derived by Marker Backcrossing Approach. Int J Mol Sci 2022; 23. [PMID: 36430711 DOI: 10.3390/ijms232214233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/09/2022] [Accepted: 11/15/2022] [Indexed: 11/19/2022] Open
Abstract
Fusarium head blight (FHB) of wheat caused by Fusarium species is a destructive disease, causing grain yield and quality losses. Developing FHB-resistant cultivars is crucial to minimize the extent of the disease. The first objective of this study was incorporation of Fhb1 from a resistant donor into five Polish wheat breeding lines with good agronomical traits and different origins. We also performed a haplotype-based GWAS to identify chromosome regions in derived wheat families associated with Fusarium head blight resistance. As a result of marker-assisted backcrossing (MABC), five wheat combinations were obtained. Fungal inoculation and disease assessment were conducted for two years, 2019 and 2020. In 2019 the average phenotypic response of type II resistance was 2.2, whereas in 2020 it was 2.1. A haploblock-based GWAS performed on 10 phenotypic traits (related to type of resistance, year of experiment and FHB index) revealed nine marker-trait associations (MTA), among which six belong to chromosome 2D, two to 3B and one to 7D. Phenotypic variation (R2) explained by the identified haplotypes in haploblocks ranged from 6% to 49%. Additionally, an association weight matrix (AWM) was created, giving the partial correlation-information theory (PCIT) pipeline of 171 edges and 19 nodes. The resultant data and high level of explained phenotypic variance of MTA create the opportunity for data utilization in MAS.
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10
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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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11
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Zhang J, Gill HS, Halder J, Brar NK, Ali S, Bernardo A, Amand PS, Bai G, Turnipseed B, Sehgal SK. Multi-Locus Genome-Wide Association Studies to Characterize Fusarium Head Blight (FHB) Resistance in Hard Winter Wheat. Front Plant Sci 2022; 13:946700. [PMID: 35958201 PMCID: PMC9359313 DOI: 10.3389/fpls.2022.946700] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 06/20/2022] [Indexed: 05/25/2023]
Abstract
Fusarium head blight (FHB), caused by the fungus Fusarium graminearum Schwabe is an important disease of wheat that causes severe yield losses along with serious quality concerns. Incorporating the host resistance from either wild relatives, landraces, or exotic materials remains challenging and has shown limited success. Therefore, a better understanding of the genetic basis of native FHB resistance in hard winter wheat (HWW) and combining it with major quantitative trait loci (QTLs) can facilitate the development of FHB-resistant cultivars. In this study, we evaluated a set of 257 breeding lines from the South Dakota State University (SDSU) breeding program to uncover the genetic basis of native FHB resistance in the US hard winter wheat. We conducted a multi-locus genome-wide association study (ML-GWAS) with 9,321 high-quality single-nucleotide polymorphisms (SNPs). A total of six distinct marker-trait associations (MTAs) were identified for the FHB disease index (DIS) on five different chromosomes including 2A, 2B, 3B, 4B, and 7A. Further, eight MTAs were identified for Fusarium-damaged kernels (FDK) on six chromosomes including 3B, 5A, 6B, 6D, 7A, and 7B. Out of the 14 significant MTAs, 10 were found in the proximity of previously reported regions for FHB resistance in different wheat classes and were validated in HWW, while four MTAs represent likely novel loci for FHB resistance. Accumulation of favorable alleles of reported MTAs resulted in significantly lower mean DIS and FDK score, demonstrating the additive effect of FHB resistance alleles. Candidate gene analysis for two important MTAs identified several genes with putative proteins of interest; however, further investigation of these regions is needed to identify genes conferring FHB resistance. The current study sheds light on the genetic basis of native FHB resistance in the US HWW germplasm and the resistant lines and MTAs identified in this study will be useful resources for FHB resistance breeding via marker-assisted selection.
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Affiliation(s)
- Jinfeng Zhang
- Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, United States
| | - Harsimardeep S. Gill
- Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, United States
| | - Jyotirmoy Halder
- Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, United States
| | - Navreet K. Brar
- Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, United States
| | - Shaukat Ali
- Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, United States
| | - Amy Bernardo
- USDA-ARS, Hard Winter Wheat Genetics Research Unit, Manhattan, KS, United States
| | - Paul St. Amand
- USDA-ARS, Hard Winter Wheat Genetics Research Unit, Manhattan, KS, United States
| | - Guihua Bai
- USDA-ARS, Hard Winter Wheat Genetics Research Unit, Manhattan, KS, United States
| | - Brent Turnipseed
- Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, United States
| | - Sunish K. Sehgal
- Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, United States
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12
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Nannuru VKR, Windju SS, Belova T, Dieseth JA, Alsheikh M, Dong Y, McCartney CA, Henriques MA, Buerstmayr H, Michel S, Meuwissen THE, Lillemo M. Genetic architecture of fusarium head blight disease resistance and associated traits in Nordic spring wheat. Theor Appl Genet 2022; 135:2247-2263. [PMID: 35597885 PMCID: PMC9271104 DOI: 10.1007/s00122-022-04109-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 04/19/2022] [Indexed: 05/05/2023]
Abstract
This study identified a significant number of QTL that are associated with FHB disease resistance in NMBU spring wheat panel by conducting genome-wide association study. Fusarium head blight (FHB) is a widely known devastating disease of wheat caused by Fusarium graminearum and other Fusarium species. FHB resistance is quantitative, highly complex and divided into several resistance types. Quantitative trait loci (QTL) that are effective against several of the resistance types give valuable contributions to resistance breeding. A spring wheat panel of 300 cultivars and breeding lines of Nordic and exotic origins was tested in artificially inoculated field trials and subjected to visual FHB assessment in the years 2013-2015, 2019 and 2020. Deoxynivalenol (DON) content was measured on harvested grain samples, and anther extrusion (AE) was assessed in separate trials. Principal component analysis based on 35 and 25 K SNP arrays revealed the existence of two subgroups, dividing the panel into European and exotic lines. We employed a genome-wide association study to detect QTL associated with FHB traits and identify marker-trait associations that consistently influenced FHB resistance. A total of thirteen QTL were identified showing consistent effects across FHB resistance traits and environments. Haplotype analysis revealed a highly significant QTL on 7A, Qfhb.nmbu.7A.2, which was further validated on an independent set of breeding lines. Breeder-friendly KASP markers were developed for this QTL that can be used in marker-assisted selection. The lines in the wheat panel harbored from zero to five resistance alleles, and allele stacking showed that resistance can be significantly increased by combining several of these resistance alleles. This information enhances breeders´ possibilities for genomic prediction and to breed cultivars with improved FHB resistance.
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Affiliation(s)
| | | | - Tatiana Belova
- Centre for Molecular Medicine Norway, Faculty of Medicine, University of Oslo, 0318, Blindern, Norway
| | | | | | - Yanhong Dong
- Department of Plant Pathology, University of Minnesota, St. Paul, MN, 55108, USA
| | - Curt A McCartney
- Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB, Canada
- Department of Plant Science, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - Maria Antonia Henriques
- Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB, Canada
| | - Hermann Buerstmayr
- Institute of Biotechnology in Plant Production, Department of Agrobiotechnology, University of Natural Resources and Life Sciences Vienna, 3430, Tulln, Austria
| | - Sebastian Michel
- Institute of Biotechnology in Plant Production, Department of Agrobiotechnology, University of Natural Resources and Life Sciences Vienna, 3430, Tulln, Austria
| | - Theodorus H E Meuwissen
- Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, 1432, Ås, Norway
| | - Morten Lillemo
- Department of Plant Sciences, Norwegian University of Life Sciences, 1432, Ås, Norway.
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13
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Li L, Dong Y, Xiao Y, Liu L, Zhao X, Huang W. Combining Disease Mechanism and Machine Learning to Predict Wheat Fusarium Head Blight. Remote Sensing 2022; 14:2732. [DOI: 10.3390/rs14122732] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Wheat Fusarium head blight (FHB) can be effectively controlled through prediction. To address the low accuracy and poor stability of model predictions of wheat FHB, a prediction method of wheat FHB that couples a logistic regression mechanism-based model and k-nearest neighbours (KNN) model is proposed in this paper. First, we selected predictive factors, including remote sensing-based and meteorological factors. Then, we quantitatively expressed the factor weights of the disease occurrence and development mechanisms in the disease prediction model by using a logistic model. Subsequently, we integrated the obtained factor weights into the predictive factors and input the predictive factors with weights into the KNN model to predict the incidence of wheat FHB. Finally, the accuracy and generalizability of the models were evaluated. Wheat fields in Changfeng, Dingyuan, Fengyuan, and Feidong counties, Anhui Province, where wheat FHB often occurs, were used as the study area. The incidences of wheat FHB on 29 April and 10 May 2021 were predicted. Compared with a model that did not consider disease mechanism, the accuracy of our model increased by approximately 13%. The overall accuracies of the models for the two dates were 0.88 and 0.92, and the F1 index was 0.86 and 0.94, respectively. The results show that the predictions made with the logistic-KNN model had higher accuracy and better stability than those made with the KNN model, thus achieving remote sensing-based high-precision prediction of wheat FHB.
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14
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Zhu X, Boehm JD, Zhong S, Cai X. Genomic compatibility and inheritance of hexaploid-derived Fusarium head blight resistance genes in durum wheat. Plant Genome 2022; 15:e20183. [PMID: 35229982 DOI: 10.1002/tpg2.20183] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 10/29/2021] [Indexed: 06/14/2023]
Abstract
Hexaploid-derived resistance genes exhibit complex inheritance and expression patterns in tetraploid backgrounds. This study aimed to characterize the inheritance patterns and genomic compatibilities of hexaploid-derived Fusarium head blight (FHB) resistance genes in tetraploid durum wheat (Triticum durum Desf.). Evaluation of FHB resistance for F1 hybrids of hexaploid 'Sumai 3' crossed with tetraploid and hexaploid wheats indicated that Sumai 3-derived FHB resistance genes exhibit a dominant phenotypic effect seen only in hexaploid hybrids. Alternately, the hexaploid-derived FHB resistance genes from PI 277012 exhibited complete dominance in the crosses with both tetraploid and hexaploid wheat. FHB evaluation of the F1 hybrids of Sumai 3 and PI 277012 crossed with 'Langdon' (LDN)-'Chinese Spring' D-genome substitution lines suggested that chromosomes 2B, 3B, 4B, 5B, 6B, 3A, 4A, 6A, and 7A contain genes that suppress expression of the Sumai 3-derived FHB resistance, whereas chromosomes 4A, 6A, and 6B contain genes required for expression of PI 277012-derived FHB resistance. A wide range of segregation for FHB severity (10-90%) was observed in the F2 generation of Sumai 3 crossed with durum cultivars LDN and 'Divide', but the distribution of F3 families derived from the most resistant F2 segregants was skewed towards susceptibility. Similar segregation trends were observed in the crosses of PI 277012 with other durum wheats, whereby FHB resistance became slightly diluted over successive generations. These results suggest tetraploid durum wheat contains the unique alleles at multiple gene loci on different chromosomes that positively and/or negatively regulate the expression of hexaploid-derived FHB resistance genes, which complicate efforts to deploy these genes in durum breeding programs.
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Affiliation(s)
- Xianwen Zhu
- Dep. of Plant Sciences, North Dakota State Univ., Fargo, ND, 58108, USA
- current address: Institute of Advanced Agricultural Sciences, Peking Univ., Weifang, Shandong, 261000, P. R. China
| | - Jeffrey D Boehm
- USDA-ARS, Wheat, Sorghum and Forage Research Unit, Lincoln, NE, 68583, USA
| | - Shaobin Zhong
- Dep. of Plant Pathology, North Dakota State Univ., Fargo, ND, 58108, USA
| | - Xiwen Cai
- USDA-ARS, Wheat, Sorghum and Forage Research Unit, Lincoln, NE, 68583, USA
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15
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Li H, Zhang F, Zhao J, Bai G, Amand PS, Bernardo A, Ni Z, Sun Q, Su Z. Identification of a novel major QTL from Chinese wheat cultivar Ji5265 for Fusarium head blight resistance in greenhouse. Theor Appl Genet 2022; 135:1867-1877. [PMID: 35357527 DOI: 10.1007/s00122-022-04080-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 03/10/2022] [Indexed: 06/14/2023]
Abstract
A novel major QTL for FHB resistance was mapped to a 6.8 Mb region on chromosome 2D in a Chinese wheat cultivar Ji5265, and diagnostic KASP markers were developed for detecting it in a worldwide wheat collection. Fusarium head blight (FHB) is a serious disease in wheat (Triticum aestivum L.) and causes significant reductions in grain yield and quality worldwide. Breeding for FHB resistance is the most effective strategy to minimize the losses caused by FHB; therefore, identification of major quantitative trait loci (QTLs) conferring FHB resistance and development of diagnostic markers for the QTLs are prerequisites for marker-assisted selection (MAS). Ji5265 is a Chinese wheat cultivar resistant to FHB in multiple environments. An F6 population of 179 recombinant inbred lines (RILs) was developed from Ji5265 × Wheaton. The population was genotyped by genotyping-by-sequencing (GBS) and phenotyped for FHB Type II resistance in greenhouses. A major QTL, designated as QFhb-2DL, was mapped in a 6.8 Mb region between the markers GBS10238 and GBS12056 on the long arm of chromosome 2D in Ji5265 and explained ~ 30% of the phenotypic variation for FHB resistance. The effect of QFhb-2DL on FHB resistance was validated using near-isogenic lines (NILs) derived from residual heterozygotes from an F6 RIL of Ji5265 × Wheaton. The two flanking markers were converted into Kompetitive allele-specific PCR (KASP) markers (KASP10238 and KASP12056) and validated to be diagnostic in a collection of 2,065 wheat accessions. These results indicate that QFhb-2DL is a novel major QTL for resistance to FHB spread within a spike (Type II) and the two KASP markers can be used for MAS to improve wheat FHB resistance in wheat breeding programs.
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Affiliation(s)
- Hanwen Li
- College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100083, China
| | - Fuping Zhang
- College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100083, China
| | - Jixin Zhao
- College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
- Department of Agronomy, Kansas State University, Manhattan, KS, 66506, USA
| | - Guihua Bai
- Department of Agronomy, Kansas State University, Manhattan, KS, 66506, USA.
- USDA-ARS, Hard Winter Wheat Genetics Research Unit, Manhattan, KS, 66506, USA.
| | - Paul St Amand
- USDA-ARS, Hard Winter Wheat Genetics Research Unit, Manhattan, KS, 66506, USA
| | - Amy Bernardo
- USDA-ARS, Hard Winter Wheat Genetics Research Unit, Manhattan, KS, 66506, USA
| | - Zhongfu Ni
- College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100083, China
| | - Qixin Sun
- College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100083, China
| | - Zhenqi Su
- College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100083, China.
- Department of Agronomy, Kansas State University, Manhattan, KS, 66506, USA.
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16
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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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17
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Gangurde SS, Xavier A, Naik YD, Jha UC, Rangari SK, Kumar R, Reddy MSS, Channale S, Elango D, Mir RR, Zwart R, Laxuman C, Sudini HK, Pandey MK, Punnuri S, Mendu V, Reddy UK, Guo B, Gangarao NVPR, Sharma VK, Wang X, Zhao C, Thudi M. Two decades of association mapping: Insights on disease resistance in major crops. Front Plant Sci 2022; 13:1064059. [PMID: 37082513 PMCID: PMC10112529 DOI: 10.3389/fpls.2022.1064059] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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: 10/07/2022] [Accepted: 11/10/2022] [Indexed: 05/03/2023]
Abstract
Climate change across the globe has an impact on the occurrence, prevalence, and severity of plant diseases. About 30% of yield losses in major crops are due to plant diseases; emerging diseases are likely to worsen the sustainable production in the coming years. Plant diseases have led to increased hunger and mass migration of human populations in the past, thus a serious threat to global food security. Equipping the modern varieties/hybrids with enhanced genetic resistance is the most economic, sustainable and environmentally friendly solution. Plant geneticists have done tremendous work in identifying stable resistance in primary genepools and many times other than primary genepools to breed resistant varieties in different major crops. Over the last two decades, the availability of crop and pathogen genomes due to advances in next generation sequencing technologies improved our understanding of trait genetics using different approaches. Genome-wide association studies have been effectively used to identify candidate genes and map loci associated with different diseases in crop plants. In this review, we highlight successful examples for the discovery of resistance genes to many important diseases. In addition, major developments in association studies, statistical models and bioinformatic tools that improve the power, resolution and the efficiency of identifying marker-trait associations. Overall this review provides comprehensive insights into the two decades of advances in GWAS studies and discusses the challenges and opportunities this research area provides for breeding resistant varieties.
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Affiliation(s)
- Sunil S. Gangurde
- Crop Genetics and Breeding Research, United States Department of Agriculture (USDA) - Agriculture Research Service (ARS), Tifton, GA, United States
- Department of Plant Pathology, University of Georgia, Tifton, GA, United States
| | - Alencar Xavier
- Department of Agronomy, Purdue University, West Lafayette, IN, United States
| | | | - Uday Chand Jha
- Indian Council of Agricultural Research (ICAR), Indian Institute of Pulses Research (IIPR), Kanpur, Uttar Pradesh, India
| | | | - Raj Kumar
- Dr. Rajendra Prasad Central Agricultural University (RPCAU), Bihar, India
| | - M. S. Sai Reddy
- Dr. Rajendra Prasad Central Agricultural University (RPCAU), Bihar, India
| | - Sonal Channale
- Crop Health Center, University of Southern Queensland (USQ), Toowoomba, QLD, Australia
| | - Dinakaran Elango
- Department of Agronomy, Iowa State University, Ames, IA, United States
| | - Reyazul Rouf Mir
- Faculty of Agriculture, Sher-e-Kashmir University of Agricultural Sciences and Technology (SKUAST), Sopore, India
| | - Rebecca Zwart
- Crop Health Center, University of Southern Queensland (USQ), Toowoomba, QLD, Australia
| | - C. Laxuman
- Zonal Agricultural Research Station (ZARS), Kalaburagi, University of Agricultural Sciences, Raichur, Karnataka, India
| | - Hari Kishan Sudini
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India
| | - Manish K. Pandey
- Crop Health Center, University of Southern Queensland (USQ), Toowoomba, QLD, Australia
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India
| | - Somashekhar Punnuri
- College of Agriculture, Family Sciences and Technology, Dr. Fort Valley State University, Fort Valley, GA, United States
| | - Venugopal Mendu
- Department of Plant Science and Plant Pathology, Montana State University, Bozeman, MT, United States
| | - Umesh K. Reddy
- Department of Biology, West Virginia State University, West Virginia, WV, United States
| | - Baozhu Guo
- Crop Genetics and Breeding Research, United States Department of Agriculture (USDA) - Agriculture Research Service (ARS), Tifton, GA, United States
| | | | - Vinay K. Sharma
- Dr. Rajendra Prasad Central Agricultural University (RPCAU), Bihar, India
| | - Xingjun Wang
- Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences (SAAS), Jinan, China
| | - Chuanzhi Zhao
- Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences (SAAS), Jinan, China
- *Correspondence: Mahendar Thudi, ; Chuanzhi Zhao,
| | - Mahendar Thudi
- Dr. Rajendra Prasad Central Agricultural University (RPCAU), Bihar, India
- Crop Health Center, University of Southern Queensland (USQ), Toowoomba, QLD, Australia
- Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences (SAAS), Jinan, China
- *Correspondence: Mahendar Thudi, ; Chuanzhi Zhao,
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18
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Liu Y, Zhu G, Zhu Z, Chen L, Niu H, He W, Tong H, Song J, Zhang Y, Ma D, Gao C. Investigation and Genome-Wide Association Analysis of Fusarium Seedling Blight Resistance in Chinese Elite Wheat Lines. Front Plant Sci 2021; 12:777494. [PMID: 34868179 PMCID: PMC8635748 DOI: 10.3389/fpls.2021.777494] [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] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 10/18/2021] [Indexed: 06/13/2023]
Abstract
Fusarium seedling blight (FSB) is an important disease of wheat occurring as part of the Fusarium disease complex consisting also of Fusarium head blight (FHB). 240 Chinese elite cultivars and lines were evaluated in greenhouse experiments for FSB resistance and genotyped using the wheat 90 K single nucleotide polymorphism arrays. Among them, 23 accessions had an average lesion length of less than 0.6 cm, exhibiting potential for breeding for FSB resistance in wheat. Jingfumai 1 and Yangmai 11 had a relatively high resistance to both FSB and FHB simultaneously. Six relatively stable quantitative trait loci (QTLs) were detected on chromosome arms 1DL, 3AS, 3BL, 6BL, 7AL, and Un using the mixed linear model approach, interpreting 4.83-7.53% of phenotypic variation. There was a negative correlation between the average FSB lesion length and the BLUE FHB index with a low coefficient, and resistance to both diseases appeared to be conferred by different QTLs across the same population. Four KASP markers were detected on 1DL, 3AS, 3BL, and 6BL in QTLs to facilitate marker-assisted selection. Combined with transcriptome data analysis, eight defense-related genes were considered as candidates for mapping QTLs. The resistant elite germplasm, mapped QTLs, and KASP markers developed in this study are useful resources for enhancing Fusarium seedling blight in wheat breeding.
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Affiliation(s)
- Yike Liu
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Engineering and Technology Research, Hubei Academy of Agricultural Sciences, Wuhan, China
- Center of Wheat, Wheat Disease Biology Research Station for Central China, Wuhan, China
| | - Guang Zhu
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Engineering and Technology Research, Hubei Academy of Agricultural Sciences, Wuhan, China
| | - Zhangwang Zhu
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Engineering and Technology Research, Hubei Academy of Agricultural Sciences, Wuhan, China
| | - Lin Chen
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Engineering and Technology Research, Hubei Academy of Agricultural Sciences, Wuhan, China
| | - Hongli Niu
- Engineering Research Center of Ecology and Agricultural Use of Wetland, Ministry of Education, Yangtze University, Jingzhou, China
- Hubei Collaborative Innovation Center for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China
| | - Weijie He
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Engineering and Technology Research, Hubei Academy of Agricultural Sciences, Wuhan, China
| | - Hanwen Tong
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Engineering and Technology Research, Hubei Academy of Agricultural Sciences, Wuhan, China
| | - Jinghan Song
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Engineering and Technology Research, Hubei Academy of Agricultural Sciences, Wuhan, China
| | - Yuqing Zhang
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Engineering and Technology Research, Hubei Academy of Agricultural Sciences, Wuhan, China
| | - Dongfang Ma
- Center of Wheat, Wheat Disease Biology Research Station for Central China, Wuhan, China
- Engineering Research Center of Ecology and Agricultural Use of Wetland, Ministry of Education, Yangtze University, Jingzhou, China
- Hubei Collaborative Innovation Center for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China
| | - Chunbao Gao
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Engineering and Technology Research, Hubei Academy of Agricultural Sciences, Wuhan, China
- Center of Wheat, Wheat Disease Biology Research Station for Central China, Wuhan, China
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19
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Leslie JF, Moretti A, Mesterházy Á, Ameye M, Audenaert K, Singh PK, Richard-Forget F, Chulze SN, Ponte EMD, Chala A, Battilani P, Logrieco AF. Key Global Actions for Mycotoxin Management in Wheat and Other Small Grains. Toxins (Basel) 2021; 13:725. [PMID: 34679018 PMCID: PMC8541216 DOI: 10.3390/toxins13100725] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Revised: 09/22/2021] [Accepted: 09/29/2021] [Indexed: 01/23/2023] Open
Abstract
Mycotoxins in small grains are a significant and long-standing problem. These contaminants may be produced by members of several fungal genera, including Alternaria, Aspergillus, Fusarium, Claviceps, and Penicillium. Interventions that limit contamination can be made both pre-harvest and post-harvest. Many problems and strategies to control them and the toxins they produce are similar regardless of the location at which they are employed, while others are more common in some areas than in others. Increased knowledge of host-plant resistance, better agronomic methods, improved fungicide management, and better storage strategies all have application on a global basis. We summarize the major pre- and post-harvest control strategies currently in use. In the area of pre-harvest, these include resistant host lines, fungicides and their application guided by epidemiological models, and multiple cultural practices. In the area of post-harvest, drying, storage, cleaning and sorting, and some end-product processes were the most important at the global level. We also employed the Nominal Group discussion technique to identify and prioritize potential steps forward and to reduce problems associated with human and animal consumption of these grains. Identifying existing and potentially novel mechanisms to effectively manage mycotoxin problems in these grains is essential to ensure the safety of humans and domesticated animals that consume these grains.
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Affiliation(s)
- John F. Leslie
- Throckmorton Plant Sciences Center, Department of Plant Pathology, 1712 Claflin Avenue, Kansas State University, Manhattan, KS 66506, USA;
| | - Antonio Moretti
- Institute of the Science of Food Production, National Research Council (CNR-ISPA), Via Amendola 122/O, 70126 Bari, Italy;
| | - Ákos Mesterházy
- Cereal Research Non-Profit Ltd., Alsókikötő sor 9, H-6726 Szeged, Hungary;
| | - Maarten Ameye
- Department of Plant and Crops, Faculty of Bioscience Engineering, Ghent University, 9000 Ghent, Belgium; (M.A.); (K.A.)
| | - Kris Audenaert
- Department of Plant and Crops, Faculty of Bioscience Engineering, Ghent University, 9000 Ghent, Belgium; (M.A.); (K.A.)
| | - Pawan K. Singh
- International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-641, Mexico 06600, DF, Mexico;
| | | | - Sofía N. Chulze
- Research Institute on Mycology and Mycotoxicology (IMICO), National Scientific and Technical Research Council-National University of Río Cuarto (CONICET-UNRC), 5800 Río Cuarto, Córdoba, Argentina;
| | - Emerson M. Del Ponte
- Departamento de Fitopatologia, Universidade Federal de Viçosa, Viçosa 36570-900, MG, Brazil;
| | - Alemayehu Chala
- College of Agriculture, Hawassa University, P.O. Box 5, Hawassa 1000, Ethiopia;
| | - Paola Battilani
- Department of Sustainable Crop Production, Faculty of Agriculture, Food and Environmental Sciences, Universitá Cattolica del Sacro Cuore, via E. Parmense, 84-29122 Piacenza, Italy;
| | - Antonio F. Logrieco
- Institute of the Science of Food Production, National Research Council (CNR-ISPA), Via Amendola 122/O, 70126 Bari, Italy;
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20
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Alouane T, Rimbert H, Bormann J, González-Montiel GA, Loesgen S, Schäfer W, Freitag M, Langin T, Bonhomme L. Comparative Genomics of Eight Fusarium graminearum Strains with Contrasting Aggressiveness Reveals an Expanded Open Pangenome and Extended Effector Content Signatures. Int J Mol Sci 2021; 22:6257. [PMID: 34200775 DOI: 10.3390/ijms22126257] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/02/2021] [Accepted: 06/07/2021] [Indexed: 01/25/2023] Open
Abstract
Fusarium graminearum, the primary cause of Fusarium head blight (FHB) in small-grain cereals, demonstrates remarkably variable levels of aggressiveness in its host, producing different infection dynamics and contrasted symptom severity. While the secreted proteins, including effectors, are thought to be one of the essential components of aggressiveness, our knowledge of the intra-species genomic diversity of F. graminearum is still limited. In this work, we sequenced eight European F. graminearum strains of contrasting aggressiveness to characterize their respective genome structure, their gene content and to delineate their specificities. By combining the available sequences of 12 other F. graminearum strains, we outlined a reference pangenome that expands the repertoire of the known genes in the reference PH-1 genome by 32%, including nearly 21,000 non-redundant sequences and gathering a common base of 9250 conserved core-genes. More than 1000 genes with high non-synonymous mutation rates may be under diverse selection, especially regarding the trichothecene biosynthesis gene cluster. About 900 secreted protein clusters (SPCs) have been described. Mostly localized in the fast sub-genome of F. graminearum supposed to evolve rapidly to promote adaptation and rapid responses to the host's infection, these SPCs gather a range of putative proteinaceous effectors systematically found in the core secretome, with the chloroplast and the plant nucleus as the main predicted targets in the host cell. This work describes new knowledge on the intra-species diversity in F. graminearum and emphasizes putative determinants of aggressiveness, providing a wealth of new candidate genes potentially involved in the Fusarium head blight disease.
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Zhu Z, Xu X, Fu L, Wang F, Dong Y, Fang Z, Wang W, Chen Y, Gao C, He Z, Xia X, Hao Y. Molecular Mapping of Quantitative Trait Loci for Fusarium Head Blight Resistance in a Doubled Haploid Population of Chinese Bread Wheat. Plant Dis 2021; 105:1339-1345. [PMID: 33107787 DOI: 10.1094/pdis-06-20-1186-re] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Fusarium head blight (FHB) is a destructive disease of wheat worldwide, particularly in China. To map genetic loci underlying FHB resistance, a doubled haploid (DH) population consisting of 174 lines was developed from a cross between widely grown Chinese cultivars Yangmai 16 and Zhongmai 895. The DH population and parents were evaluated in field nurseries at Wuhan in 2016 to 2017 and 2017 to 2018 crop seasons with both spray inoculation and natural infection, and at Jingzhou in 2017 to 2018 crop season with grain-spawn inoculation. The DH lines were genotyped with a wheat 660K SNP array. The FHB index, plant height, anther extrusion, and days to anthesis were recorded and used for quantitative trait loci (QTL) analysis. Seven QTL for FHB resistance were mapped to chromosome arms 3BL, 4AS, 4BS, 4DS, 5AL, 6AL, and 6BS in at least two environments. QFhb.caas-4BS and QFhb.caas-4DS co-located with semi-dwarfing alleles Rht-B1b and Rht-D1b, respectively, and were associated with anther extrusion. The other five QTL were genetically independent of the agronomic traits, indicating their potential value when breeding for FHB resistance. Based on correlations between FHB indices and agronomic traits in this population, we concluded that increasing plant height to some extent would enhance FHB resistance, that anther extrusion had a more important role in environments with less severe FHB, and that days to anthesis were independent of the FHB response when viewed across years. PCR-based markers were developed for the 3BL and 5AL QTL, which were detected in more than three environments. The InDel marker InDel_AX-89588684 for QFhb.caas-5AL was also validated on a wheat panel, confirming its effectiveness for marker-assisted breeding for improvements in FHB resistance.
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Affiliation(s)
- Zhanwang Zhu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Wheat Disease Biology Research Station for Central China, Food Crops Institute, Hubei Academy of Agricultural Sciences, Wuhan, Hubei 430064, China
| | - Xiaoting Xu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Luping Fu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Fengju Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yachao Dong
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Zhengwu Fang
- College of Agriculture, Yangtze University, Jingzhou, Hubei 434000, China
| | - Wenxue Wang
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Wheat Disease Biology Research Station for Central China, Food Crops Institute, Hubei Academy of Agricultural Sciences, Wuhan, Hubei 430064, China
| | - Yanping Chen
- College of Agriculture, Yangtze University, Jingzhou, Hubei 434000, China
| | - Chunbao Gao
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Wheat Disease Biology Research Station for Central China, Food Crops Institute, Hubei Academy of Agricultural Sciences, Wuhan, Hubei 430064, China
| | - Zhonghu He
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
- International Maize and Wheat Improvement Center (CIMMYT)-China Office, Beijing 100081, China
| | - Xianchun Xia
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yuanfeng Hao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
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22
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Zakieh M, Gaikpa DS, Leiva Sandoval F, Alamrani M, Henriksson T, Odilbekov F, Chawade A. Characterizing Winter Wheat Germplasm for Fusarium Head Blight Resistance Under Accelerated Growth Conditions. Front Plant Sci 2021; 12:705006. [PMID: 34512690 PMCID: PMC8425451 DOI: 10.3389/fpls.2021.705006] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 08/02/2021] [Indexed: 05/16/2023]
Abstract
Fusarium head blight (FHB) is one of the economically important diseases of wheat as it causes severe yield loss and reduces grain quality. In winter wheat, due to its vernalization requirement, it takes an exceptionally long time for plants to reach the heading stage, thereby prolonging the time it takes for characterizing germplasm for FHB resistance. Therefore, in this work, we developed a protocol to evaluate winter wheat germplasm for FHB resistance under accelerated growth conditions. The protocol reduces the time required for plants to begin heading while avoiding any visible symptoms of stress on plants. The protocol was tested on 432 genotypes obtained from a breeding program and a genebank. The mean area under disease progress curve for FHB was 225.13 in the breeding set and 195.53 in the genebank set, indicating that the germplasm from the genebank set had higher resistance to FHB. In total, 10 quantitative trait loci (QTL) for FHB severity were identified by association mapping. Of these, nine QTL were identified in the combined set comprising both genebank and breeding sets, while two QTL each were identified in the breeding set and genebank set, respectively, when analyzed separately. Some QTLs overlapped between the three datasets. The results reveal that the protocol for FHB evaluation integrating accelerated growth conditions is an efficient approach for FHB resistance breeding in winter wheat and can be even applied to spring wheat after minor modifications.
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Affiliation(s)
- Mustafa Zakieh
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Lomma, Sweden
| | - David S. Gaikpa
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Lomma, Sweden
| | | | - Marwan Alamrani
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Lomma, Sweden
| | | | - Firuz Odilbekov
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Lomma, Sweden
- Lantmännen Lantbruk, Svalöv, Sweden
| | - Aakash Chawade
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Lomma, Sweden
- *Correspondence: Aakash Chawade,
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23
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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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24
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Tu M, Li Y. Toward the Genetic Basis and Multiple QTLs of Kernel Hardness in Wheat. Plants (Basel) 2020; 9:E1631. [PMID: 33255282 PMCID: PMC7760206 DOI: 10.3390/plants9121631] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 11/21/2020] [Accepted: 11/23/2020] [Indexed: 12/03/2022]
Abstract
Kernel hardness is one of the most important single traits of wheat seed. It classifies wheat cultivars, determines milling quality and affects many end-use qualities. Starch granule surfaces, polar lipids, storage protein matrices and Puroindolines potentially form a four-way interaction that controls wheat kernel hardness. As a genetic factor, Puroindoline polymorphism explains over 60% of the variation in kernel hardness. However, genetic factors other than Puroindolines remain to be exploited. Over the past two decades, efforts using population genetics have been increasing, and numerous kernel hardness-associated quantitative trait loci (QTLs) have been identified on almost every chromosome in wheat. Here, we summarize the state of the art for mapping kernel hardness. We emphasize that these steps in progress have benefitted from (1) the standardized methods for measuring kernel hardness, (2) the use of the appropriate germplasm and mapping population, and (3) the improvements in genotyping methods. Recently, abundant genomic resources have become available in wheat and related Triticeae species, including the high-quality reference genomes and advanced genotyping technologies. Finally, we provide perspectives on future research directions that will enhance our understanding of kernel hardness through the identification of multiple QTLs and will address challenges involved in fine-tuning kernel hardness and, consequently, food properties.
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Affiliation(s)
| | - Yin Li
- Waksman Institute of Microbiology, Rutgers, The State University of New Jersey, 190 Frelinghuysen Road, Piscataway, NJ 08854, USA;
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25
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Jia M, Yang L, Zhang W, Rosewarne G, Li J, Yang E, Chen L, Wang W, Liu Y, Tong H, He W, Zhang Y, Zhu Z, Gao C. Genome-wide association analysis of stripe rust resistance in modern Chinese wheat. BMC Plant Biol 2020; 20:491. [PMID: 33109074 PMCID: PMC7590722 DOI: 10.1186/s12870-020-02693-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 10/12/2020] [Indexed: 05/05/2023]
Abstract
BACKGROUND Stripe rust (yellow rust) is a significant disease for bread wheat (Triticum aestivum L.) worldwide. A genome-wide association study was conducted on 240 Chinese wheat cultivars and elite lines genotyped with the wheat 90 K single nucleotide polymorphism (SNP) arrays to decipher the genetic architecture of stripe rust resistance in Chinese germplasm. RESULTS Stripe rust resistance was evaluated at the adult plant stage in Pixian and Xindu in Sichuan province in the 2015-2016 cropping season, and in Wuhan in Hubei province in the 2013-2014, 2016-2017 and 2018-2019 cropping seasons. Twelve stable loci for stripe rust resistance were identified by GWAS using TASSEL and GAPIT software. These loci were distributed on chromosomes 1B, 1D, 2A, 2B, 3A, 3B, 4B (3), 4D, 6D, and 7B and explained 3.6 to 10.3% of the phenotypic variation. Six of the loci corresponded with previously reported genes/QTLs, including Sr2/Yr30/Lr27, while the other six (QYr.hbaas-1BS, QYr.hbaas-2BL, QYr.hbaas-3AL, QYr.hbaas-4BL.3, QYr.hbaas-4DL, and QYr.hbaas-6DS) are probably novel. The results suggest high genetic diversity for stripe rust resistance in this population. The resistance alleles of QYr.hbaas-2AS, QYr.hbaas-3BS, QYr.hbaas-4DL, and QYr.hbaas-7BL were rare in the present panel, indicating their potential use in breeding for stripe rust resistance in China. Eleven penta-primer amplification refractory mutation system (PARMS) markers were developed from SNPs significantly associated with seven mapped QTLs. Twenty-seven genes were predicted for mapped QTLs. Six of them were considered as candidates for their high relative expression levels post-inoculation. CONCLUSION The resistant germplasm, mapped QTLs, and PARMS markers developed in this study are resources for enhancing stripe rust resistance in wheat breeding.
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Affiliation(s)
- Mengjie Jia
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Academy of Agricultural Sciences/Hubei Engineering and Technology Research Center of Wheat/Wheat Disease Biology Research Station for Central China, Wuhan, 430064, China
- College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Lijun Yang
- Institute of Plant Protection and Soil Science, Hubei Academy of Agricultural Sciences, Wuhan, 430064, China
| | - Wei Zhang
- Department of Plant Sciences, North Dakota State University, Fargo, North Dakota, 58108-6050, USA
| | - Garry Rosewarne
- Department of Jobs, Precincts and Regions, Agriculture Victoria, 110 Natimuk Road, Horsham, Victoria, 3400, Australia
- International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-641, 06600, Mexico D.F., Mexico
| | - Junhui Li
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Academy of Agricultural Sciences/Hubei Engineering and Technology Research Center of Wheat/Wheat Disease Biology Research Station for Central China, Wuhan, 430064, China
| | - Enian Yang
- Crop Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, 610066, China
| | - Ling Chen
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Academy of Agricultural Sciences/Hubei Engineering and Technology Research Center of Wheat/Wheat Disease Biology Research Station for Central China, Wuhan, 430064, China
| | - Wenxue Wang
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Academy of Agricultural Sciences/Hubei Engineering and Technology Research Center of Wheat/Wheat Disease Biology Research Station for Central China, Wuhan, 430064, China
| | - Yike Liu
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Academy of Agricultural Sciences/Hubei Engineering and Technology Research Center of Wheat/Wheat Disease Biology Research Station for Central China, Wuhan, 430064, China
| | - Hanwen Tong
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Academy of Agricultural Sciences/Hubei Engineering and Technology Research Center of Wheat/Wheat Disease Biology Research Station for Central China, Wuhan, 430064, China
| | - Weijie He
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Academy of Agricultural Sciences/Hubei Engineering and Technology Research Center of Wheat/Wheat Disease Biology Research Station for Central China, Wuhan, 430064, China
| | - Yuqing Zhang
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Academy of Agricultural Sciences/Hubei Engineering and Technology Research Center of Wheat/Wheat Disease Biology Research Station for Central China, Wuhan, 430064, China
| | - Zhanwang Zhu
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Academy of Agricultural Sciences/Hubei Engineering and Technology Research Center of Wheat/Wheat Disease Biology Research Station for Central China, Wuhan, 430064, China.
| | - Chunbao Gao
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Academy of Agricultural Sciences/Hubei Engineering and Technology Research Center of Wheat/Wheat Disease Biology Research Station for Central China, Wuhan, 430064, China.
- Hubei Collaborative Innovation Center for Grain Industry, Yangtze university, Jingzhou, 434025, China.
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Xu Q, Xu F, Qin D, Li M, Fedak G, Cao W, Yang L, Dong J. Molecular Mapping of QTLs Conferring Fusarium Head Blight Resistance in Chinese Wheat Cultivar Jingzhou 66. Plants (Basel) 2020; 9:plants9081021. [PMID: 32806760 PMCID: PMC7465298 DOI: 10.3390/plants9081021] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 08/03/2020] [Accepted: 08/10/2020] [Indexed: 11/25/2022]
Abstract
Fusarium head blight (FHB) is a destructive disease of wheat (Triticum aestivum L.), which not only significantly reduces grain yield, but also affects end-use quality. Breeding wheat cultivars with high FHB resistance is the most effective way to control the disease. The Chinese wheat cultivar Jingzhou 66 (JZ66) shows moderately high FHB resistance; however, the genetic basis of its resistance is unknown. A doubled haploid (DH) population consisting 209 lines was developed from a cross of JZ66 and Aikang 58 (AK58), a FHB susceptible wheat cultivar, to identify quantitative trait loci (QTL) that contribute to the FHB resistance. Five field experiments were established across two consecutive crop seasons (2018 and 2019) to evaluate the DH lines and parents for FHB response. The parents and DH population were genotyped with the wheat 55K single-nucleotide polymorphism (SNP) assay. Six QTLs associated with FHB resistance in JZ66 were mapped on chromosome 2DS, 3AS, 3AL, 3DL, 4DS, and 5DL, respectively. Four of the QTL (QFhb.hbaas-2DS, QFhb.hbaas-3AL, QFhb.hbaas-4DS, and QFhb.hbaas-5DL) were detected in at least two environments, and the QTL on 3AL and 5DL might be new. The QTL with major effects, QFhb.hbaas-2DS and QFhb.hbaas-4DS, explained up to 36.2% and 17.6% of the phenotypic variance, and were co-localized with the plant semi-dwarfing loci Rht8 and Rht-D1. The dwarfing Rht8 allele significantly increased spike compactness (SC) and FHB susceptibility causing a larger effect on FHB response than Rht-D1 observed in this study. PCR–based SNP markers for QFhb.hbaas-2DS, QFhb.hbaas-3AL, QFhb.hbaas-4DS, and QFhb.hbaas-5DL, were developed to facilitate their use in breeding for FHB resistance by marker-assisted selection.
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Affiliation(s)
- Qing Xu
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Institute of Food Crops, Hubei Academy of Agricultural Sciences, Wuhan 430064, China; (Q.X.); (F.X.); (D.Q.); (M.L.)
| | - Fuchao Xu
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Institute of Food Crops, Hubei Academy of Agricultural Sciences, Wuhan 430064, China; (Q.X.); (F.X.); (D.Q.); (M.L.)
| | - Dandan Qin
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Institute of Food Crops, Hubei Academy of Agricultural Sciences, Wuhan 430064, China; (Q.X.); (F.X.); (D.Q.); (M.L.)
| | - Meifang Li
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Institute of Food Crops, Hubei Academy of Agricultural Sciences, Wuhan 430064, China; (Q.X.); (F.X.); (D.Q.); (M.L.)
| | - George Fedak
- Ottawa Research Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada; (G.F.); (W.C.)
| | - Wenguang Cao
- Ottawa Research Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada; (G.F.); (W.C.)
| | - Lijun Yang
- Hubei Key Laboratory of Crop Disease, Insect Pests and Weeds Control, Institute of Plant Protection and Soil Science, Hubei Academy of Agricultural Sciences, Wuhan 430064, China
- Correspondence: (L.Y.); (J.D.); Tel.: +86-027-8738-0399 (J.D.)
| | - Jing Dong
- Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Institute of Food Crops, Hubei Academy of Agricultural Sciences, Wuhan 430064, China; (Q.X.); (F.X.); (D.Q.); (M.L.)
- Correspondence: (L.Y.); (J.D.); Tel.: +86-027-8738-0399 (J.D.)
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27
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Ruan Y, Zhang W, Knox RE, Berraies S, Campbell HL, Ragupathy R, Boyle K, Polley B, Henriquez MA, Burt A, Kumar S, Cuthbert RD, Fobert PR, Buerstmayr H, DePauw RM. Characterization of the Genetic Architecture for Fusarium Head Blight Resistance in Durum Wheat: The Complex Association of Resistance, Flowering Time, and Height Genes. Front Plant Sci 2020; 11:592064. [PMID: 33424887 PMCID: PMC7786293 DOI: 10.3389/fpls.2020.592064] [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] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 11/30/2020] [Indexed: 05/22/2023]
Abstract
Durum wheat is an economically important crop for Canadian farmers. Fusarium head blight (FHB) is one of the most destructive diseases that threatens durum production in Canada. FHB reduces yield and end-use quality and most commonly contaminates the grain with the fungal mycotoxin deoxynivalenol, also known as DON. Serious outbreaks of FHB can occur in durum wheat in Canada, and combining genetic resistance with fungicide application is a cost effective approach to control this disease. However, there is limited variation for genetic resistance to FHB in elite Canadian durum cultivars. To explore and identify useful genetic FHB resistance variation for the improvement of Canadian durum wheat, we assembled an association mapping (AM) panel of diverse durum germplasms and performed genome wide association analysis (GWAS). Thirty-one quantitative trait loci (QTL) across all 14 chromosomes were significantly associated with FHB resistance. On 3BS, a stable QTL with a larger effect for resistance was located close to the centromere of 3BS. Three haplotypes of Fhb1 QTL were identified, with an emmer wheat haplotype contributing to disease susceptibility. The large number of QTL identified here can provide a rich resource to improve FHB resistance in commercially grown durum wheat. Among the 31 QTL most were associated with plant height and/or flower time. QTL 1A.1, 1A.2, 3B.2, 5A.1, 6A.1, 7A.3 were associated with FHB resistance and not associated or only weakly associated with flowering time nor plant height. These QTL have features that would make them good targets for FHB resistance breeding.
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Affiliation(s)
- Yuefeng Ruan
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Wentao Zhang
- Aquatic and Crop Resource Development Research Centre, National Research Council of Canada, Saskatoon, SK, Canada
- *Correspondence: Wentao Zhang,
| | - Ron E. Knox
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Samia Berraies
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Heather L. Campbell
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Raja Ragupathy
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB, Canada
| | - Kerry Boyle
- Aquatic and Crop Resource Development Research Centre, National Research Council of Canada, Saskatoon, SK, Canada
| | - Brittany Polley
- Aquatic and Crop Resource Development Research Centre, National Research Council of Canada, Saskatoon, SK, Canada
| | - Maria Antonia Henriquez
- Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB, Canada
| | - Andrew Burt
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
| | - Santosh Kumar
- Brandon Research and Development Centre, Agriculture and Agri-Food Canada, Brandon, MB, Canada
| | - Richard D. Cuthbert
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Pierre R. Fobert
- Aquatic and Crop Resource Development Research Centre, National Research Council of Canada, Ottawa, ON, Canada
| | | | - Ron M. DePauw
- Advancing Wheat Technology, Swift Current, SK, Canada
- Retired from Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
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