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Filippi CV, Corro Molas A, Dominguez M, Colombo D, Heinz N, Troglia C, Maringolo C, Quiroz F, Alvarez D, Lia V, Paniego N. Genome-Wide Association Studies in Sunflower: Towards Sclerotinia sclerotiorum and Diaporthe/Phomopsis Resistance Breeding. Genes (Basel) 2022; 13:2357. [PMID: 36553624 PMCID: PMC9777803 DOI: 10.3390/genes13122357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 11/24/2022] [Accepted: 12/05/2022] [Indexed: 12/15/2022] Open
Abstract
Diseases caused by necrotrophic fungi, such as the cosmopolitan Sclerotinia sclerotiorum and the Diaporthe/Phomopsis complex, are among the most destructive diseases of sunflower worldwide. The lack of complete resistance combined with the inefficiency of chemical control makes assisted breeding the best strategy for disease control. In this work, we present an integrated genome-wide association (GWA) study investigating the response of a diverse panel of sunflower inbred lines to both pathogens. Phenotypic data for Sclerotinia head rot (SHR) consisted of five disease descriptors (disease incidence, DI; disease severity, DS; area under the disease progress curve for DI, AUDPCI, and DS, AUDPCS; and incubation period, IP). Two disease descriptors (DI and DS) were evaluated for two manifestations of Diaporthe/Phomopsis: Phomopsis stem canker (PSC) and Phomopsis head rot (PHR). In addition, a principal component (PC) analysis was used to derive transformed phenotypes as inputs to a univariate GWA (PC-GWA). Genotypic data comprised a panel of 4269 single nucleotide polymorphisms (SNP), generated via genotyping-by-sequencing. The GWA analysis revealed 24 unique marker-trait associations for SHR, 19 unique marker-trait associations for Diaporthe/Phomopsis diseases, and 7 markers associated with PC1 and PC2. No common markers were found for the response to the two pathogens. Nevertheless, epistatic interactions were identified between markers significantly associated with the response to S. sclerotiorum and Diaporthe/Phomopsis. This suggests that, while the main determinants of resistance may differ for the two pathogens, there could be an underlying common genetic basis. The exploration of regions physically close to the associated markers yielded 364 genes, of which 19 were predicted as putative disease resistance genes. This work presents the first simultaneous evaluation of two manifestations of Diaporthe/Phomopsis in sunflower, and undertakes a comprehensive GWA study by integrating PSC, PHR, and SHR data. The multiple regions identified, and their exploration to identify candidate genes, contribute not only to the understanding of the genetic basis of resistance, but also to the development of tools for assisted breeding.
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Affiliation(s)
- Carla Valeria Filippi
- Laboratorio de Bioquímica, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Avenida Garzón 780, Montevideo 12900, Uruguay
- Instituto de Agrobiotecnología y Biología Molecular–IABiMo–INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, Argentina
| | - Andres Corro Molas
- Agencia De Extensión Rural General Pico, INTA, Calle 13 N° 857, Gral. Pico L6360, Argentina
| | - Matias Dominguez
- Estación Experimental Agropecuaria Pergamino, INTA, Av. Frondizi Km 4.5, Pergamino B2700, Argentina
| | - Denis Colombo
- Estación Experimental Agropecuaria Anguil, INTA, Ruta Nacional 5 Km 580, Anguil L6326, Argentina
| | - Nicolas Heinz
- Estación Experimental Agropecuaria Manfredi, INTA, Ruta Nac. nro. 9 km 636, Manfredi X5988, Argentina
| | - Carolina Troglia
- Estación Experimental Agropecuaria Balcarce, INTA, Ruta 226 Km 73.5, Balcarce B7620, Argentina
| | - Carla Maringolo
- Estación Experimental Agropecuaria Balcarce, INTA, Ruta 226 Km 73.5, Balcarce B7620, Argentina
| | - Facundo Quiroz
- Estación Experimental Agropecuaria Balcarce, INTA, Ruta 226 Km 73.5, Balcarce B7620, Argentina
| | - Daniel Alvarez
- Estación Experimental Agropecuaria Manfredi, INTA, Ruta Nac. nro. 9 km 636, Manfredi X5988, Argentina
| | - Veronica Lia
- Instituto de Agrobiotecnología y Biología Molecular–IABiMo–INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Autónoma de Buenos Aires C1428, Argentina
| | - Norma Paniego
- Instituto de Agrobiotecnología y Biología Molecular–IABiMo–INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, Argentina
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Derbyshire MC, Newman TE, Khentry Y, Owolabi Taiwo A. The evolutionary and molecular features of the broad-host-range plant pathogen Sclerotinia sclerotiorum. MOLECULAR PLANT PATHOLOGY 2022; 23:1075-1090. [PMID: 35411696 PMCID: PMC9276942 DOI: 10.1111/mpp.13221] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 03/09/2022] [Accepted: 03/25/2022] [Indexed: 05/21/2023]
Abstract
Sclerotinia sclerotiorum is a pathogenic fungus that infects hundreds of plant species, including many of the world's most important crops. Key features of S. sclerotiorum include its extraordinary host range, preference for dicotyledonous plants, relatively slow evolution, and production of protein effectors that are active in multiple host species. Plant resistance to this pathogen is highly complex, typically involving numerous polymorphisms with infinitesimally small effects, which makes resistance breeding a major challenge. Due to its economic significance, S. sclerotiorum has been subjected to a large amount of molecular and evolutionary research. In this updated pathogen profile, we review the evolutionary and molecular features of S. sclerotiorum and discuss avenues for future research into this important species.
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Affiliation(s)
- Mark C. Derbyshire
- Centre for Crop and Disease ManagementSchool of Molecular and Life SciencesCurtin UniversityPerthWestern AustraliaAustralia
| | - Toby E. Newman
- Centre for Crop and Disease ManagementSchool of Molecular and Life SciencesCurtin UniversityPerthWestern AustraliaAustralia
| | - Yuphin Khentry
- Centre for Crop and Disease ManagementSchool of Molecular and Life SciencesCurtin UniversityPerthWestern AustraliaAustralia
| | - Akeem Owolabi Taiwo
- Centre for Crop and Disease ManagementSchool of Molecular and Life SciencesCurtin UniversityPerthWestern AustraliaAustralia
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Talukder ZI, Underwood W, Misar CG, Seiler GJ, Cai X, Li X, Qi L. A Quantitative Genetic Study of Sclerotinia Head Rot Resistance Introgressed from the Wild Perennial Helianthus maximiliani into Cultivated Sunflower ( Helianthus annuus L.). Int J Mol Sci 2022; 23:ijms23147727. [PMID: 35887074 PMCID: PMC9321925 DOI: 10.3390/ijms23147727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 07/06/2022] [Accepted: 07/08/2022] [Indexed: 11/27/2022] Open
Abstract
Sclerotinia head rot (HR), caused by Sclerotinia sclerotiorum, is an economically important disease of sunflower with known detrimental effects on yield and quality in humid climates worldwide. The objective of this study was to gain insight into the genetic architecture of HR resistance from a sunflower line HR21 harboring HR resistance introgressed from the wild perennial Helianthus maximiliani. An F2 population derived from the cross of HA 234 (susceptible-line)/HR21 (resistant-line) was evaluated for HR resistance at two locations during 2019−2020. Highly significant genetic variations (p < 0.001) were observed for HR disease incidence (DI) and disease severity (DS) in both individual and combined analyses. Broad sense heritability (H2) estimates across environments for DI and DS were 0.51 and 0.62, respectively. A high-density genetic map of 1420.287 cM was constructed with 6315 SNP/InDel markers developed using genotype-by-sequencing technology. A total of 16 genomic regions on eight sunflower chromosomes, 1, 2, 10, 12, 13, 14, 16 and 17 were associated with HR resistance, each explaining between 3.97 to 16.67% of the phenotypic variance for HR resistance. Eleven of these QTL had resistance alleles from the HR21 parent. Molecular markers flanking the QTL will facilitate marker-assisted selection breeding for HR resistance in sunflower.
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Affiliation(s)
- Zahirul I. Talukder
- Department of Plant Sciences, North Dakota State University, Fargo, ND 58108, USA; (Z.I.T.); (X.L.)
| | - William Underwood
- USDA-Agricultural Research Service, Edward T. Schafer Agricultural Research Center, 1616 Albrecht Blvd. N., Fargo, ND 58102, USA; (W.U.); (C.G.M.); (G.J.S.)
| | - Christopher G. Misar
- USDA-Agricultural Research Service, Edward T. Schafer Agricultural Research Center, 1616 Albrecht Blvd. N., Fargo, ND 58102, USA; (W.U.); (C.G.M.); (G.J.S.)
| | - Gerald J. Seiler
- USDA-Agricultural Research Service, Edward T. Schafer Agricultural Research Center, 1616 Albrecht Blvd. N., Fargo, ND 58102, USA; (W.U.); (C.G.M.); (G.J.S.)
| | - Xiwen Cai
- USDA-Agricultural Research Service, Wheat, Sorghum and Forage Research Unit, 251 Filley Hall, 1625 Arbor Drive, Lincoln, NE 68583, USA;
| | - Xuehui Li
- Department of Plant Sciences, North Dakota State University, Fargo, ND 58108, USA; (Z.I.T.); (X.L.)
| | - Lili Qi
- USDA-Agricultural Research Service, Edward T. Schafer Agricultural Research Center, 1616 Albrecht Blvd. N., Fargo, ND 58102, USA; (W.U.); (C.G.M.); (G.J.S.)
- Correspondence: ; Tel.: +1-701-239-1351
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Pogoda CS, Reinert S, Talukder ZI, Attia Z, Collier-Zans ECE, Gulya TJ, Kane NC, Hulke BS. Genetic loci underlying quantitative resistance to necrotrophic pathogens Sclerotinia and Diaporthe (Phomopsis), and correlated resistance to both pathogens. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:249-259. [PMID: 33106896 DOI: 10.1007/s00122-020-03694-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 09/18/2020] [Indexed: 06/11/2023]
Abstract
We provide results rooted in quantitative genetics, which combined with knowledge of candidate gene function, helps us to better understand the resistance to two major necrotrophic pathogens of sunflower. Necrotrophic pathogens can avoid or even benefit from plant defenses used against biotrophic pathogens, and thus represent a distinct challenge to plant populations in natural and agricultural systems. Sclerotinia and Phomopsis/Diaporthe are detrimental pathogens for many dicotyledonous plants, including many economically important plants. With no well-established methods to prevent infection in susceptible plants, host-plant resistance is currently the most effective strategy. Despite knowledge of a moderate, positive correlation in resistance to the two diseases in sunflower, detailed analysis of the genetics, in the same populations, has not been conducted. We present results of genome-wide analysis of resistance to both pathogens in a diversity panel of 218 domesticated sunflower genotypes of worldwide origin. We identified 14 Sclerotinia head rot and 7 Phomopsis stem canker unique QTLs, plus 1 co-located QTL for both traits, and observed extensive patterns of linkage disequilibrium between sites for both traits. Most QTLs contained one credible candidate gene, and gene families were common for the two disease resistance traits. These results suggest there has been strong, simultaneous selection for resistance to these two diseases and that a generalized mechanism for defense against these necrotrophic pathogens exists.
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Affiliation(s)
- Cloe S Pogoda
- Ecology and Evolutionary Biology Department, University of Colorado, 1900 Pleasant Street, 334 UCB, Boulder, CO, 80309-0334, USA
| | - Stephan Reinert
- Ecology and Evolutionary Biology Department, University of Colorado, 1900 Pleasant Street, 334 UCB, Boulder, CO, 80309-0334, USA
| | - Zahirul I Talukder
- Department of Plant Sciences, North Dakota State University, 166 Loftsgard Hall, Fargo, ND, 58108-6050, USA
| | - Ziv Attia
- Ecology and Evolutionary Biology Department, University of Colorado, 1900 Pleasant Street, 334 UCB, Boulder, CO, 80309-0334, USA
| | - Erin C E Collier-Zans
- Ecology and Evolutionary Biology Department, University of Colorado, 1900 Pleasant Street, 334 UCB, Boulder, CO, 80309-0334, USA
| | - Thomas J Gulya
- USDA-ARS Edward T Schafer Agricultural Research Center, 1616 Albrecht Blvd. N., Fargo, ND, 58102-2765, USA
| | - Nolan C Kane
- Ecology and Evolutionary Biology Department, University of Colorado, 1900 Pleasant Street, 334 UCB, Boulder, CO, 80309-0334, USA
| | - Brent S Hulke
- USDA-ARS Edward T Schafer Agricultural Research Center, 1616 Albrecht Blvd. N., Fargo, ND, 58102-2765, USA.
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Inheritance and molecular mapping of powdery mildew ( Golovinomyces orontii) resistance gene(s) in sunflower ( Helianthus annuus L.). 3 Biotech 2020; 10:234. [PMID: 32399384 DOI: 10.1007/s13205-020-02224-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Accepted: 04/24/2020] [Indexed: 10/24/2022] Open
Abstract
Sources of resistance to powdery mildew incited by Golovinomyces orontii have been identified in wild sunflowers and few exotic lines. The present investigation has been undertaken to study the inheritance of powdery mildew resistance and to map the quantitative trait loci (QTLs) governing resistance to powdery mildew in a multiple disease resistance line, TX16R (PI 642072). The inheritance was observed as a continuous distribution in a set of 264 F2 population and 93 recombinant inbred lines (RILs) of a cross between a highly susceptible accession PS 2023 and TX16R. Screening of the two population sets was done with 484 sunflower-specific SSR primers of which 175 primers showed polymorphism between the parents. Based on the phenotyping and genotyping data, the linkage map was constructed with 93 RILs. The map spanned 1200 cM and included 64 markers distributed along the 17 sunflower chromosomes in the haploid set. Quantitative trait loci (QTL) analysis identified three genomic regions for resistance to powdery mildew, two of which mapped on chromosome 10 and one on chromosome 5. This is the first report on mapping of powdery mildew resistance in sunflower and paves the way in fine mapping and introgression of resistance for powdery mildew in sunflower through marker-assisted breeding.
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Wang Z, Ma LY, Cao J, Li YL, Ding LN, Zhu KM, Yang YH, Tan XL. Recent Advances in Mechanisms of Plant Defense to Sclerotinia sclerotiorum. FRONTIERS IN PLANT SCIENCE 2019; 10:1314. [PMID: 31681392 PMCID: PMC6813280 DOI: 10.3389/fpls.2019.01314] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 09/20/2019] [Indexed: 05/20/2023]
Abstract
Sclerotinia sclerotiorum (Lib.) de Bary is an unusual pathogen which has the broad host range, diverse infection modes, and potential double feeding lifestyles of both biotroph and necrotroph. It is capable of infecting over 400 plant species found worldwide and more than 60 names have agriculturally been used to refer to diseases caused by this pathogen. Plant defense to S. sclerotiorum is a complex biological process and exhibits a typical quantitative disease resistance (QDR) response. Recent studies using Arabidopsis thaliana and crop plants have obtained new advances in mechanisms used by plants to cope with S. sclerotiorum infection. In this review, we focused on our current understanding on plant defense mechanisms against this pathogen, and set up a model for the defense process including three stages: recognition of this pathogen, signal transduction and defense response. We also have a particular interest in defense signaling mediated by diverse signaling molecules. We highlight the current challenges and unanswered questions in both the defense process and defense signaling. Essentially, we discussed candidate resistance genes newly mapped by using high-throughput experiments in important crops, and classified these potential gene targets into different stages of the defense process, which will broaden our understanding of the genetic architecture underlying quantitative resistance to S. sclerotiorum. We proposed that more powerful mapping population(s) will be required for accurate and reliable QDR gene identification.
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Zubrzycki JE, Maringolo CA, Filippi CV, Quiróz FJ, Nishinakamasu V, Puebla AF, Di Rienzo JA, Escande A, Lia VV, Heinz RA, Hopp HE, Cervigni GDL, Paniego NB. Main and epistatic QTL analyses for Sclerotinia Head Rot resistance in sunflower. PLoS One 2017; 12:e0189859. [PMID: 29261806 PMCID: PMC5738076 DOI: 10.1371/journal.pone.0189859] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2017] [Accepted: 12/04/2017] [Indexed: 02/04/2023] Open
Abstract
Sclerotinia Head Rot (SHR), a disease caused by Sclerotinia sclerotiorum, is one of the most limiting factors in sunflower production. In this study, we identified genomic loci associated with resistance to SHR to support the development of assisted breeding strategies. We genotyped 114 Recombinant Inbred Lines (RILs) along with their parental lines (PAC2 -partially resistant-and RHA266 -susceptible-) by using a 384 single nucleotide polymorphism (SNP) Illumina Oligo Pool Assay to saturate a sunflower genetic map. Subsequently, we tested these lines for SHR resistance using assisted inoculations with S. sclerotiorum ascospores. We also conducted a randomized complete-block assays with three replicates to visually score disease incidence (DI), disease severity (DS), disease intensity (DInt) and incubation period (IP) through four field trials (2010-2014). We finally assessed main effect quantitative trait loci (M-QTLs) and epistatic QTLs (E-QTLs) by composite interval mapping (CIM) and mixed-model-based composite interval mapping (MCIM), respectively. As a result of this study, the improved map incorporates 61 new SNPs over candidate genes. We detected a broad range of narrow sense heritability (h2) values (1.86-59.9%) as well as 36 M-QTLs and 13 E-QTLs along 14 linkage groups (LGs). On LG1, LG10, and LG15, we repeatedly detected QTLs across field trials; which emphasizes their putative effectiveness against SHR. In all selected variables, most of the identified QTLs showed high determination coefficients, associated with moderate to high heritability values. Using markers shared with previous Sclerotinia resistance studies, we compared the QTL locations in LG1, LG2, LG8, LG10, LG11, LG15 and LG16. This study constitutes the largest report of QTLs for SHR resistance in sunflower. Further studies focusing on the regions in LG1, LG10, and LG15 harboring the detected QTLs are necessary to identify causal alleles and contribute to unraveling the complex genetic basis governing the resistance.
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Affiliation(s)
- Jeremías Enrique Zubrzycki
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Agronómicas y Veterinarias, Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Buenos Aires, Argentina
| | - Carla Andrea Maringolo
- Laboratorio de Patología Vegetal, Unidad Integrada Universidad Nacional de Mar del Plata, Estación Experimental Agropecuaria INTA Balcarce, Balcarce, Buenos Aires, Argentina
| | - Carla Valeria Filippi
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Agronómicas y Veterinarias, Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas, Ciudad Autónoma de Buenos Aires, Argentina
| | - Facundo José Quiróz
- Laboratorio de Patología Vegetal, Unidad Integrada Universidad Nacional de Mar del Plata, Estación Experimental Agropecuaria INTA Balcarce, Balcarce, Buenos Aires, Argentina
| | - Verónica Nishinakamasu
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Agronómicas y Veterinarias, Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Buenos Aires, Argentina
| | - Andrea Fabiana Puebla
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Agronómicas y Veterinarias, Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Buenos Aires, Argentina
| | - Julio A. Di Rienzo
- Cátedra de Estadística y Biometría, Facultad de Ciencias Agropecuarias, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Alberto Escande
- Laboratorio de Patología Vegetal, Unidad Integrada Universidad Nacional de Mar del Plata, Estación Experimental Agropecuaria INTA Balcarce, Balcarce, Buenos Aires, Argentina
| | - Verónica Viviana Lia
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Agronómicas y Veterinarias, Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas, Ciudad Autónoma de Buenos Aires, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina
| | - Ruth Amalia Heinz
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Agronómicas y Veterinarias, Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas, Ciudad Autónoma de Buenos Aires, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina
| | - Horacio Esteban Hopp
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Agronómicas y Veterinarias, Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Buenos Aires, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina
| | - Gerardo D. L. Cervigni
- Consejo Nacional de Investigaciones Científicas y Técnicas, Ciudad Autónoma de Buenos Aires, Argentina
- Centro de Estudios Fotosintéticos y Bioquímicos, Rosario, Santa Fe, Argentina
| | - Norma Beatriz Paniego
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Agronómicas y Veterinarias, Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas, Ciudad Autónoma de Buenos Aires, Argentina
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Filippi CV, Zubrzycki JE, Di Rienzo JA, Quiroz F, Fusari CM, Alvarez D, Maringolo CA, Cordes D, Escande A, Hopp HE, Heinz RA, Lia VV, Paniego NB. Phenotyping Sunflower Genetic Resources for Sclerotinia Head Rot Response: Assessing Variability for Disease Resistance Breeding. PLANT DISEASE 2017; 101:1941-1948. [PMID: 30677319 DOI: 10.1094/pdis-12-16-1784-re] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Sclerotinia head rot (SHR) is one of the most serious constraints to sunflower (Helianthus annuus L. var. macrocarpus) production worldwide. Here, we evaluated the response to SHR in a sunflower inbred panel from a large INTA germplasm collection, consisting of 137 inbred lines (ILs). Field trials were performed over five consecutive seasons using a twice-replicated randomized complete-block design. Disease incidence, disease severity, incubation period, and area under disease progress curve for disease incidence and severity were determined after controlled inoculation with the pathogen. Statistical analysis using mixed-effect models detected significant differences among ILs for all variables (P < 0.001). In addition, principal component analysis (PCA) and distance-based methods were used to classify the ILs according to their response to SHR, with ILs ALB2/5261 and 5383 emerging as the most resistant. Broad-sense heritability estimates ranged from 20.64% for disease severity to 10.58% for incubation period. The ample phenotypic variability of our collection, along with the moderate heritability estimates, highlight the importance of molecular breeding approaches to gain new insights into the genetic basis of sunflower resistance to SHR. The exhaustive phenotypic characterization presented here provides a reliable set of variables to comprehensively evaluate the disease and identifies two new sources of resistance to SHR.
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Affiliation(s)
- C V Filippi
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolas Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires, Argentina
| | - J E Zubrzycki
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolas Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires, Argentina
| | - J A Di Rienzo
- Facultad de Ciencias Agropecuarias, Universidad Nacional de Córdoba, Ing Agr. Felix Aldo Marrone 746 (5000), Córdoba, Argentina
| | - F Quiroz
- Estación Experimental Agropecuaria INTA Balcarce, Ruta 226 Km 73.5 (7620), Balcarce. Buenos Aires, Argentina
| | - C M Fusari
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolas Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires, Argentina; and Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1 (14476), Potsdam, Germany
| | - D Alvarez
- Estación Experimental Agropecuaria INTA Manfredi, Ruta 9 Km 636 (5988), Manfredi, Córdoba, Argentina
| | - C A Maringolo
- Estación Experimental Agropecuaria INTA Balcarce, Ruta 226 Km 73.5 (7620), Balcarce. Buenos Aires, Argentina
| | - D Cordes
- Estación Experimental Agropecuaria INTA Manfredi, Ruta 9 Km 636 (5988), Manfredi, Córdoba, Argentina
| | - A Escande
- Estación Experimental Agropecuaria INTA Balcarce, Ruta 226 Km 73.5 (7620), Balcarce. Buenos Aires, Argentina
| | - H E Hopp
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolas Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires, Argentina; and Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires, Intendente Güiraldes 2160, (1428), Ciudad Autónoma de Buenos Aires, Argentina
| | - R A Heinz
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolas Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires, Argentina; Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires, Intendente Güiraldes 2160, (1428), Ciudad Autónoma de Buenos Aires, Argentina; and Consejo Nacional de Investigaciones Científicas y Técnicas-CONICET
| | - V V Lia
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolas Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires, Argentina; Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires, Intendente Güiraldes 2160, (1428), Ciudad Autónoma de Buenos Aires, Argentina; and Consejo Nacional de Investigaciones Científicas y Técnicas-CONICET
| | - N B Paniego
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolas Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires, Argentina; and Consejo Nacional de Investigaciones Científicas y Técnicas-CONICET
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9
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Talukder ZI, Gong L, Hulke BS, Pegadaraju V, Song Q, Schultz Q, Qi L. A high-density SNP Map of sunflower derived from RAD-sequencing facilitating fine-mapping of the rust resistance gene R12. PLoS One 2014; 9:e98628. [PMID: 25014030 PMCID: PMC4094432 DOI: 10.1371/journal.pone.0098628] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2013] [Accepted: 05/06/2014] [Indexed: 11/19/2022] Open
Abstract
A high-resolution genetic map of sunflower was constructed by integrating SNP data from three F2 mapping populations (HA 89/RHA 464, B-line/RHA 464, and CR 29/RHA 468). The consensus map spanned a total length of 1443.84 cM, and consisted of 5,019 SNP markers derived from RAD tag sequencing and 118 publicly available SSR markers distributed in 17 linkage groups, corresponding to the haploid chromosome number of sunflower. The maximum interval between markers in the consensus map is 12.37 cM and the average distance is 0.28 cM between adjacent markers. Despite a few short-distance inversions in marker order, the consensus map showed high levels of collinearity among individual maps with an average Spearman's rank correlation coefficient of 0.972 across the genome. The order of the SSR markers on the consensus map was also in agreement with the order of the individual map and with previously published sunflower maps. Three individual and one consensus maps revealed the uneven distribution of markers across the genome. Additionally, we performed fine mapping and marker validation of the rust resistance gene R12, providing closely linked SNP markers for marker-assisted selection of this gene in sunflower breeding programs. This high resolution consensus map will serve as a valuable tool to the sunflower community for studying marker-trait association of important agronomic traits, marker assisted breeding, map-based gene cloning, and comparative mapping.
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Affiliation(s)
- Zahirul I. Talukder
- Department of Plant Sciences, North Dakota State University, Fargo, North Dakota, United States of America
| | - Li Gong
- Department of Plant Pathology, North Dakota State University, Fargo, North Dakota, United States of America
| | - Brent S. Hulke
- Northern Crop Science Laboratory, USDA- Agricultural Research Service, Fargo, North Dakota, United States of America
| | | | - Qijian Song
- Soybean Genomics and Improvement Lab, USDA- Agricultural Research Service, Beltsville, Maryland, United States of America
| | - Quentin Schultz
- BioDiagnostics Inc., River Falls, Wisconsin, United States of America
| | - Lili Qi
- Northern Crop Science Laboratory, USDA- Agricultural Research Service, Fargo, North Dakota, United States of America
- * E-mail:
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10
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Heuberger AL, Robison FM, Lyons SMA, Broeckling CD, Prenni JE. Evaluating plant immunity using mass spectrometry-based metabolomics workflows. FRONTIERS IN PLANT SCIENCE 2014; 5:291. [PMID: 25009545 PMCID: PMC4068199 DOI: 10.3389/fpls.2014.00291] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2014] [Accepted: 06/04/2014] [Indexed: 05/02/2023]
Abstract
Metabolic processes in plants are key components of physiological and biochemical disease resistance. Metabolomics, the analysis of a broad range of small molecule compounds in a biological system, has been used to provide a systems-wide overview of plant metabolism associated with defense responses. Plant immunity has been examined using multiple metabolomics workflows that vary in methods of detection, annotation, and interpretation, and the choice of workflow can significantly impact the conclusions inferred from a metabolomics investigation. The broad range of metabolites involved in plant defense often requires multiple chemical detection platforms and implementation of a non-targeted approach. A review of the current literature reveals a wide range of workflows that are currently used in plant metabolomics, and new methods for analyzing and reporting mass spectrometry (MS) data can improve the ability to translate investigative findings among different plant-pathogen systems.
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Affiliation(s)
- Adam L. Heuberger
- Proteomics and Metabolomics Facility, Colorado State UniversityFort Collins, CO, USA
- Department of Soil and Crop Sciences, Colorado State UniversityFort Collins, CO, USA
- *Correspondence: Adam L. Heuberger, Proteomics and Metabolomics Facility, Colorado State University, 2021 Campus Delivery, Fort Collins, CO 80525, USA e-mail:
| | - Faith M. Robison
- Proteomics and Metabolomics Facility, Colorado State UniversityFort Collins, CO, USA
- Department of Soil and Crop Sciences, Colorado State UniversityFort Collins, CO, USA
| | - Sarah Marie A. Lyons
- Proteomics and Metabolomics Facility, Colorado State UniversityFort Collins, CO, USA
| | - Corey D. Broeckling
- Proteomics and Metabolomics Facility, Colorado State UniversityFort Collins, CO, USA
- Department of Horticulture and Landscape Architecture, Colorado State UniversityFort Collins, CO, USA
| | - Jessica E. Prenni
- Proteomics and Metabolomics Facility, Colorado State UniversityFort Collins, CO, USA
- Department of Biochemistry and Molecular Biology, Colorado State UniversityFort Collins, CO, USA
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11
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Jiang D, Fu Y, Guoqing L, Ghabrial SA. Viruses of the plant pathogenic fungus Sclerotinia sclerotiorum. Adv Virus Res 2013; 86:215-48. [PMID: 23498908 DOI: 10.1016/b978-0-12-394315-6.00008-8] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Sclerotinia sclerotiorum is a notorious plant fungal pathogen with a broad host range including many important crops, such as oilseed rape, soybean, and numerous vegetable crops. Hypovirulence-associated mycoviruses have attracted much attention because of their potential as biological control agents for combating plant fungal diseases and for use in fundamental studies on fungal pathogenicity and other properties. This chapter describes several mycoviruses that were isolated from hypovirulent strains except for strain Sunf-M, which has a normal phenotype. These viruses include the geminivirus-like mycovirus Sclerotinia sclerotiorum hypovirulence-associated DNA virus 1 (SsHADV-1), Sclerotinia debilitation-associated RNA virus (SsDRV), Sclerotinia sclerotiorum RNA virus L (SsRV-L), Sclerotinia sclerotiorum hypovirus 1 (SsHV-1), Sclerotinia sclerotiorum mitoviruses 1 and 2 (SsMV-1, SsMV-2), and Sclerotinia sclerotiorum partitivirus S (SsPV-S). Unlike many other fungi, incidences of mixed infections with two or more mycoviruses in S. sclerotiorum are particularly high and very common. The interaction between SsDRV and S. sclerotiorum is likely to be unique. The significance of these mycoviruses to fungal ecology and viral evolution and the potential for biological control of Sclerotinia diseases using mycoviruses are discussed.
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Affiliation(s)
- Daohong Jiang
- The State Key Lab of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei Province, PR China
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12
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Wu J, Cai G, Tu J, Li L, Liu S, Luo X, Zhou L, Fan C, Zhou Y. Identification of QTLs for resistance to sclerotinia stem rot and BnaC.IGMT5.a as a candidate gene of the major resistant QTL SRC6 in Brassica napus. PLoS One 2013; 8:e67740. [PMID: 23844081 PMCID: PMC3699613 DOI: 10.1371/journal.pone.0067740] [Citation(s) in RCA: 103] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2013] [Accepted: 05/22/2013] [Indexed: 12/21/2022] Open
Abstract
Stem rot caused by Sclerotinia sclerotiorum in many important dicotyledonous crops, including oilseed rape (Brassica napus), is one of the most devastating fungal diseases and imposes huge yield loss each year worldwide. Currently, breeding for Sclerotinia resistance in B. napus, as in other crops, can only rely on germplasms with quantitative resistance genes. Thus, the identification of quantitative trait locus (QTL) for S. sclerotiorum resistance/tolerance in this crop holds immediate promise for the genetic improvement of the disease resistance. In this study, ten QTLs for stem resistance (SR) at the mature plant stage and three QTLs for leaf resistance (LR) at the seedling stage in multiple environments were mapped on nine linkage groups (LGs) of a whole genome map for B. napus constructed with SSR markers. Two major QTLs, LRA9 on LG A9 and SRC6 on LG C6, were repeatedly detected across all environments and explained 8.54-15.86% and 29.01%-32.61% of the phenotypic variations, respectively. Genotypes containing resistant SRC6 or LRA9 allele showed a significant reduction in disease lesion after pathogen infection. Comparative mapping with Arabidopsis and data mining from previous gene profiling experiments identified that the Arabidopsis homologous gene of IGMT5 (At1g76790) was related to the SRC6 locus. Four copies of the IGMT5 gene in B. napus were isolated through homologous cloning, among which, only BnaC.IGMT5.a showed a polymorphism between parental lines and can be associated with the SRC6. Furthermore, two parental lines exhibited a differential expression pattern of the BnaC.IGMT5.a gene in responding to pathogen inoculation. Thus, our data suggested that BnaC.IGMT5.a was very likely a candidate gene of this major resistance QTL.
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Affiliation(s)
- Jian Wu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Guangqin Cai
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Jiangying Tu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Lixia Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Sheng Liu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Xinping Luo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Lipeng Zhou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Chuchuan Fan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Yongming Zhou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
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13
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Fusari CM, Di Rienzo JA, Troglia C, Nishinakamasu V, Moreno MV, Maringolo C, Quiroz F, Álvarez D, Escande A, Hopp E, Heinz R, Lia VV, Paniego NB. Association mapping in sunflower for Sclerotinia Head Rot resistance. BMC PLANT BIOLOGY 2012; 12:93. [PMID: 22708963 PMCID: PMC3778846 DOI: 10.1186/1471-2229-12-93] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2011] [Accepted: 05/21/2012] [Indexed: 05/04/2023]
Abstract
BACKGROUND Sclerotinia Head Rot (SHR) is one of the most damaging diseases of sunflower in Europe, Argentina, and USA, causing average yield reductions of 10 to 20 %, but leading to total production loss under favorable environmental conditions for the pathogen. Association Mapping (AM) is a promising choice for Quantitative Trait Locus (QTL) mapping, as it detects relationships between phenotypic variation and gene polymorphisms in existing germplasm without development of mapping populations. This article reports the identification of QTL for resistance to SHR based on candidate gene AM. RESULTS A collection of 94 sunflower inbred lines were tested for SHR under field conditions using assisted inoculation with the fungal pathogen Sclerotinia sclerotiorum. Given that no biological mechanisms or biochemical pathways have been clearly identified for SHR, 43 candidate genes were selected based on previous transcript profiling studies in sunflower and Brassica napus infected with S. sclerotiorum. Associations among SHR incidence and haplotype polymorphisms in 16 candidate genes were tested using Mixed Linear Models (MLM) that account for population structure and kinship relationships. This approach allowed detection of a significant association between the candidate gene HaRIC_B and SHR incidence (P < 0.01), accounting for a SHR incidence reduction of about 20 %. CONCLUSIONS These results suggest that AM will be useful in dissecting other complex traits in sunflower, thus providing a valuable tool to assist in crop breeding.
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Affiliation(s)
- Corina M Fusari
- Instituto de Biotecnología, Centro Investigación en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), 1686, Hurlingham, Buenos Aires, Argentina
| | - Julio A Di Rienzo
- Cátedra de Estadística y Biometría, Facultad de Ciencias Agropecuarias, Universidad Nacional de Córdoba, 5000, Córdoba, Argentina
| | - Carolina Troglia
- Estación Experimental Agropecuaria Balcarce, INTA, 7620, Balcarce, Buenos Aires, Argentina
| | - Verónica Nishinakamasu
- Instituto de Biotecnología, Centro Investigación en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), 1686, Hurlingham, Buenos Aires, Argentina
| | - María Valeria Moreno
- Estación Experimental Agropecuaria Manfredi, INTA, 5988, Manfredi, Córdoba, Argentina
| | - Carla Maringolo
- Estación Experimental Agropecuaria Balcarce, INTA, 7620, Balcarce, Buenos Aires, Argentina
| | - Facundo Quiroz
- Estación Experimental Agropecuaria Balcarce, INTA, 7620, Balcarce, Buenos Aires, Argentina
| | - Daniel Álvarez
- Estación Experimental Agropecuaria Manfredi, INTA, 5988, Manfredi, Córdoba, Argentina
| | - Alberto Escande
- Estación Experimental Agropecuaria Balcarce, INTA, 7620, Balcarce, Buenos Aires, Argentina
| | - Esteban Hopp
- Instituto de Biotecnología, Centro Investigación en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), 1686, Hurlingham, Buenos Aires, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Ruth Heinz
- Instituto de Biotecnología, Centro Investigación en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), 1686, Hurlingham, Buenos Aires, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Verónica V Lia
- Instituto de Biotecnología, Centro Investigación en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), 1686, Hurlingham, Buenos Aires, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Norma B Paniego
- Instituto de Biotecnología, Centro Investigación en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), 1686, Hurlingham, Buenos Aires, Argentina
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14
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Klimenko I, Razgulayeva N, Gau M, Okumura K, Nakaya A, Tabata S, Kozlov NN, Isobe S. Mapping candidate QTLs related to plant persistency in red clover. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2010; 120:1253-1263. [PMID: 20087570 PMCID: PMC2839475 DOI: 10.1007/s00122-009-1253-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/26/2009] [Accepted: 12/21/2009] [Indexed: 05/28/2023]
Abstract
Red clover (Trifolium pratense L.) is a diploid (2n = 14), self-incompatible legume that is widely cultivated as a forage legume in cold geographical regions. Because it is a short-lived perennial species, improvement of plant persistency is the most important objective for red clover breeding. To develop a marker-assisted selection (MAS) approach for red clover, we identified candidate QTLs related to plant persistency. Two full-sib mapping populations, 272 x WF1680 and HR x R130, were used for QTL identification. Resistance to Sclerotinia trifoliorum and Fusarium species, as well as to winter hardiness, was investigated in the laboratory and in field experiments in Moscow region (Russia), and Sapporo (Japan). With the genotype data derived from microsatellite and other DNA markers, candidate QTLs were identified by simple interval mapping (SIM), Kruskal-Wallis analysis (KW analysis) and genotype matrix mapping (GMM). A total of 10 and 23 candidate QTL regions for plant persistency were identified in the 272 x WF1680 and the HR x R130 mapping populations, respectively. The QTLs identified by multiple mapping approaches were mapped on linkage group (LG) 3 and LG6. The significant QTL interactions identified by GMM explained the higher phenotypic variation than single effect QTLs. Identification of haplotypes having positive effect QTLs in each parent were first demonstrated in this study for pseudo-testcross mapping populations in plant species using experimental data.
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Affiliation(s)
- Irina Klimenko
- All-Russian Williams Fodder Crop Research Institute, 141055 Lobnya, Moscow Region, Russia
| | - Nadejda Razgulayeva
- All-Russian Williams Fodder Crop Research Institute, 141055 Lobnya, Moscow Region, Russia
| | - Mitsuru Gau
- National Agricultural Research Center for Kyusyu and Okinawa Region, Suya 2421, Koshi, Kumamoto, 861-1192 Japan
| | - Kenji Okumura
- National Agricultural Research Center for Hokkaido Region, Hitsujigaoka 1, Toyohira, Sapporo, Hokkaido 062-8555 Japan
| | - Akihiro Nakaya
- Department of Computational Biology, University of Tokyo, Kashiwanoha 5-1-5, Kashiwa, Chiba, 277-8561 Japan
| | - Satoshi Tabata
- Kazusa DNA Research Institute, Kazusa-Kamatari 2-6-7, Kisarazu, Chiba, 292-0818 Japan
| | - Nicolay N. Kozlov
- All-Russian Williams Fodder Crop Research Institute, 141055 Lobnya, Moscow Region, Russia
| | - Sachiko Isobe
- National Agricultural Research Center for Hokkaido Region, Hitsujigaoka 1, Toyohira, Sapporo, Hokkaido 062-8555 Japan
- Kazusa DNA Research Institute, Kazusa-Kamatari 2-6-7, Kisarazu, Chiba, 292-0818 Japan
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15
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Peluffo L, Lia V, Troglia C, Maringolo C, Norma P, Escande A, Esteban Hopp H, Lytovchenko A, Fernie AR, Heinz R, Carrari F. Metabolic profiles of sunflower genotypes with contrasting response to Sclerotinia sclerotiorum infection. PHYTOCHEMISTRY 2010; 71:70-80. [PMID: 19853265 DOI: 10.1016/j.phytochem.2009.09.018] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2009] [Revised: 07/23/2009] [Accepted: 09/13/2009] [Indexed: 05/08/2023]
Abstract
We report a comprehensive primary metabolite profiling of sunflower (Helianthus annuus) genotypes displaying contrasting behavior to Sclerotinia sclerotiorum infection. Applying a GC-MS-based metabolite profiling approach, we were able to identify differential patterns involving a total of 63 metabolites including major and minor sugars and sugar alcohols, organic acids, amino acids, fatty acids and few soluble secondary metabolites in the sunflower capitulum, the main target organ of pathogen attack. Metabolic changes and disease incidence of the two contrasting genotypes were determined throughout the main infection period (R5.2-R6). Both point-by-point and non-parametric statistical analyses showed metabolic differences between genotypes as well as interaction effects between genotype and time after inoculation. Network correlation analyses suggested that these metabolic changes were synchronized in a time-dependent manner in response to the pathogen. Concerted differential metabolic changes were detected to a higher extent in the susceptible, rather than the resistant genotype, thereby allowing differentiation of modules composed by intermediates of the same pathway which are highly interconnected in the susceptible line but not in the resistant one. Evaluation of these data also demonstrated a genotype specific regulation of distinct metabolic pathways, suggesting the importance of detection of metabolic patterns rather than specific metabolite changes when looking for metabolic markers differentially responding to pathogen infection. In summary, the GC-MS strategy developed in this study was suitable for detection of differences in carbon primary metabolism in sunflower capitulum, a tissue which is the main entry point for this and other pathogens which cause great detrimental impact on crop yield.
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Affiliation(s)
- Lucila Peluffo
- Instituto de Biotecnología, CICVyA, Instituto Nacional de Tecnología Agropecuaria (IB-INTA), Argentina
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16
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Yue B, Radi SA, Vick BA, Cai X, Tang S, Knapp SJ, Gulya TJ, Miller JF, Hu J. Identifying quantitative trait loci for resistance to Sclerotinia head rot in two USDA sunflower germplasms. PHYTOPATHOLOGY 2008; 98:926-31. [PMID: 18943211 DOI: 10.1094/phyto-98-8-0926] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Sclerotinia head rot is a major disease of sunflower in the world, and quantitative trait loci (QTL) mapping could facilitate understanding of the genetic basis of head rot resistance and breeding in sunflower. One hundred twenty-three F2:3 and F2:4 families from a cross between HA 441 and RHA 439 were studied. The mapping population was evaluated for disease resistance in three field experiments in a randomized complete block design with two replicates. Disease incidence (DI) and disease severity (DS) were assessed. A genetic map with 180 target region amplification polymorphism, 32 simple sequence repeats, 11 insertion-deletion, and 2 morphological markers was constructed. Nine DI and seven DS QTL were identified with each QTL explaining 8.4 to 34.5% of phenotypic variance, suggesting the polygenic basis of the resistance to head rot. Five of these QTL were identified in more than one experiment, and each QTL explained more than 12.9% of phenotypic variance. These QTL could be useful in sunflower breeding. Although a positive correlation existed between the two disease indices, most of the respective QTL were located in different chromosomal regions, suggesting a different genetic basis for the two indices.
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Affiliation(s)
- B Yue
- Department of Plant Sciences, North Dakota State University, Fargo 58105, USA
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