1
|
Lin L, Zhang X, Fan J, Li J, Ren S, Gu X, Li P, Xu M, Xu J, Lei W, Liu D, Sun Q, Cai G, Yang QY, Wang Y, Wu J. Natural variation in BnaA07.MKK9 confers resistance to Sclerotinia stem rot in oilseed rape. Nat Commun 2024; 15:5059. [PMID: 38871727 PMCID: PMC11176195 DOI: 10.1038/s41467-024-49504-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 06/05/2024] [Indexed: 06/15/2024] Open
Abstract
Sclerotinia stem rot (SSR), caused by the necrotrophic fungus Sclerotinia sclerotiorum, is one of the most devastating diseases for several major oil-producing crops. Despite its impact, the genetic basis of SSR resistance in plants remains poorly understood. Here, through a genome-wide association study, we identify a key gene, BnaA07. MKK9, that encodes a mitogen-activated protein kinase kinase that confers SSR resistance in oilseed rape. Our functional analyses reveal that BnaA07.MKK9 interacts with BnaC03.MPK3 and BnaC03.MPK6 and phosphorylates them at the TEY activation motif, triggering a signaling cascade that initiates biosynthesis of ethylene, camalexin, and indole glucosinolates, and promotes accumulation of H2O2 and the hypersensitive response, ultimately conferring resistance. Furthermore, variations in the coding sequence of BnaA07.MKK9 alter its kinase activity and improve SSR resistance by ~30% in cultivars carrying the advantageous haplotype. These findings enhance our understanding of SSR resistance and may help engineer novel diversity for future breeding of oilseed rape.
Collapse
Affiliation(s)
- Li Lin
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou, 225009, China
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, 225009, China
| | - Xingrui Zhang
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou, 225009, China
| | - Jialin Fan
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou, 225009, China
| | - Jiawei Li
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Sichao Ren
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou, 225009, China
| | - Xin Gu
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou, 225009, China
| | - Panpan Li
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou, 225009, China
| | - Meiling Xu
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, 225009, China
| | - Jingyi Xu
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou, 225009, China
| | - Wenjing Lei
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou, 225009, China
| | - Dongxiao Liu
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, 225009, China
| | - Qinfu Sun
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, 225009, China
| | - Guangqin Cai
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crop Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430070, China
| | - Qing-Yong Yang
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Youping Wang
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou, 225009, China.
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, 225009, China.
| | - Jian Wu
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou, 225009, China.
| |
Collapse
|
2
|
Lu Y, Liu D, Kong X, Song Y, Jing L. Pangenome characterization and analysis of the NAC gene family reveals genes for Sclerotinia sclerotiorum resistance in sunflower (Helianthus annuus). BMC Genom Data 2024; 25:39. [PMID: 38693490 PMCID: PMC11064331 DOI: 10.1186/s12863-024-01227-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 04/22/2024] [Indexed: 05/03/2024] Open
Abstract
BACKGROUND Sunflower (Helianthus annuus) is one of the most important economic crops in oilseed production worldwide. The different cultivars exhibit variability in their resistance genes. The NAC transcription factor (TF) family plays diverse roles in plant development and stress responses. With the completion of the H. annuus genome sequence, the entire complement of genes coding for NACs has been identified. However, the reference genome of a single individual cannot cover all the genetic information of the species. RESULTS Considering only a single reference genome to study gene families will miss many meaningful genes. A pangenome-wide survey and characterization of the NAC genes in sunflower species were conducted. In total, 139 HaNAC genes are identified, of which 114 are core and 25 are variable. Phylogenetic analysis of sunflower NAC proteins categorizes these proteins into 16 subgroups. 138 HaNACs are randomly distributed on 17 chromosomes. SNP-based haplotype analysis shows haplotype diversity of the HaNAC genes in wild accessions is richer than in landraces and modern cultivars. Ten HaNAC genes in the basal stalk rot (BSR) resistance quantitative trait loci (QTL) are found. A total of 26 HaNAC genes are differentially expressed in response to Sclerotinia head rot (SHR). A total of 137 HaNAC genes are annotated in Gene Ontology (GO) and are classified into 24 functional groups. GO functional enrichment analysis reveals that HaNAC genes are involved in various functions of the biological process. CONCLUSIONS We identified NAC genes in H. annuus (HaNAC) on a pangenome-wide scale and analyzed S. sclerotiorum resistance-related NACs. This study provided a theoretical basis for further genomic improvement targeting resistance-related NAC genes in sunflowers.
Collapse
Affiliation(s)
- Yan Lu
- College of Horticulture and Plant Protection, Inner Mongolia Agricultural University, Hohhot, China
| | - Dongqi Liu
- College of Horticulture and Plant Protection, Inner Mongolia Agricultural University, Hohhot, China
| | - Xiangjiu Kong
- College of Horticulture and Plant Protection, Inner Mongolia Agricultural University, Hohhot, China
| | - Yang Song
- College of Horticulture and Plant Protection, Inner Mongolia Agricultural University, Hohhot, China
| | - Lan Jing
- College of Horticulture and Plant Protection, Inner Mongolia Agricultural University, Hohhot, China.
| |
Collapse
|
3
|
Talukder ZI, Underwood W, Misar CG, Li X, Seiler GJ, Cai X, Qi L. Genetic analysis of basal stalk rot resistance introgressed from wild Helianthus petiolaris into cultivated sunflower ( Helianthus annuus L.) using an advanced backcross population. FRONTIERS IN PLANT SCIENCE 2023; 14:1278048. [PMID: 37920712 PMCID: PMC10619160 DOI: 10.3389/fpls.2023.1278048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 09/29/2023] [Indexed: 11/04/2023]
Abstract
Introduction Sclerotinia sclerotiorum is a serious pathogen causing severe basal stalk rot (BSR) disease on cultivated sunflower (Helianthus annuus L.) that leads to significant yield losses due to insufficient resistance. The wild annual sunflower species H. petiolaris, commonly known as prairie sunflower is known for its resistance against this pathogen. Sunflower resistance to BSR is quantitative and determined by many genes with small effects on the resistance phenotype. The objective of this study was to identify loci governing BSR resistance derived from H. petiolaris using a quantitative trait loci (QTL) mapping approach. Methods BSR resistance among lines of an advanced backcross population (AB-QTL) with 174 lines developed from a cross of inbred line HA 89 with H. petiolaris PI 435843 was determined in the field during 2017-2019, and in the greenhouse in 2019. AB-QTL lines and the HA 89 parent were genotyped using genotyping-by-sequencing and a genetic linkage map was developed spanning 997.51 cM and using 1,150 SNP markers mapped on 17 sunflower chromosomes. Results and discussion Highly significant differences (p<0.001) for BSR response among AB-QTL lines were observed disease incidence (DI) in all field seasons, as well as disease rating (DR) and area under the disease progress curve (AUDPC) in the greenhouse with a moderately high broad-sense heritability (H 2) of 0.61 for the tested resistance parameters. A total of 14 QTL associated with BSR resistance were identified on nine chromosomes, each explaining a proportion of the phenotypic variation ranging from 3.5% to 28.1%. Of the 14 QTL, eight were detected for BSR resistance in the field and six were detected under greenhouse conditions. Alleles conferring increased BSR resistance were contributed by the H. petiolaris parent at 11 of the 14 QTL.
Collapse
Affiliation(s)
- Zahirul I. Talukder
- United States Department of Agriculture (USDA)-Agricultural Research Service, Edward T. Schafer Agricultural Research Center, Fargo, ND, United States
| | - William Underwood
- United States Department of Agriculture (USDA)-Agricultural Research Service, Edward T. Schafer Agricultural Research Center, Fargo, ND, United States
| | - Christopher G. Misar
- United States Department of Agriculture (USDA)-Agricultural Research Service, Edward T. Schafer Agricultural Research Center, Fargo, ND, United States
| | - Xuehui Li
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States
| | - Gerald J. Seiler
- United States Department of Agriculture (USDA)-Agricultural Research Service, Edward T. Schafer Agricultural Research Center, Fargo, ND, United States
| | - Xiwen Cai
- Wheat, Sorghum and Forage Research Unit, United States Department of Agriculture (USDA)-Agricultural Research Service, Lincoln, NE, United States
| | - Lili Qi
- United States Department of Agriculture (USDA)-Agricultural Research Service, Edward T. Schafer Agricultural Research Center, Fargo, ND, United States
| |
Collapse
|
4
|
Poudel RS, Belay K, Nelson B, Brueggeman R, Underwood W. Population and genome-wide association studies of Sclerotinia sclerotiorum isolates collected from diverse host plants throughout the United States. Front Microbiol 2023; 14:1251003. [PMID: 37829452 PMCID: PMC10566370 DOI: 10.3389/fmicb.2023.1251003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 08/29/2023] [Indexed: 10/14/2023] Open
Abstract
Introduction Sclerotinia sclerotiorum is a necrotrophic fungal pathogen causing disease and economic loss on numerous crop plants. This fungus has a broad host range and can infect over 400 plant species, including important oilseed crops such as soybean, canola, and sunflower. S. sclerotiorum isolates vary in aggressiveness of lesion formation on plant tissues. However, the genetic basis for this variation remains to be determined. The aims of this study were to evaluate a diverse collection of S. sclerotiorum isolates collected from numerous hosts and U.S. states for aggressiveness of stem lesion formation on sunflower, to evaluate the population characteristics, and to identify loci associated with isolate aggressiveness using genome-wide association mapping. Methods A total of 219 S. sclerotiorum isolates were evaluated for stem lesion formation on two sunflower inbred lines and genotyped using genotyping-by-sequencing. DNA markers were used to assess population differentiation across hosts, regions, and climatic conditions and to perform a genome-wide association study of isolate aggressiveness. Results and discussion We observed a broad range of aggressiveness for lesion formation on sunflower stems, and only a moderate correlation between aggressiveness on the two lines. Population genetic evaluations revealed differentiation between populations from warmer climate regions compared to cooler regions. Finally, a genome-wide association study of isolate aggressiveness identified three loci significantly associated with aggressiveness on sunflower. Functional characterization of candidate genes at these loci will likely improve our understanding of the virulence strategies used by this pathogen to cause disease on a wide array of agriculturally important host plants.
Collapse
Affiliation(s)
- Roshan Sharma Poudel
- Department of Plant Pathology, North Dakota State University, Fargo, ND, United States
| | - Kassaye Belay
- Department of Plant Pathology, North Dakota State University, Fargo, ND, United States
| | - Berlin Nelson
- Department of Plant Pathology, North Dakota State University, Fargo, ND, United States
| | - Robert Brueggeman
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, United States
| | - William Underwood
- Edward T. Schafer Agricultural Research Center, Sunflower and Plant Biology Research Unit, USDA Agricultural Research Service, Fargo, ND, United States
| |
Collapse
|
5
|
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.
Collapse
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
| |
Collapse
|
6
|
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.
Collapse
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
| |
Collapse
|
7
|
Talukder ZI, Underwood W, Misar CG, Seiler GJ, Cai X, Li X, Qi L. Genomic Insights Into Sclerotinia Basal Stalk Rot Resistance Introgressed From Wild Helianthus praecox Into Cultivated Sunflower ( Helianthus annuus L.). FRONTIERS IN PLANT SCIENCE 2022; 13:840954. [PMID: 35665155 PMCID: PMC9158519 DOI: 10.3389/fpls.2022.840954] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 04/27/2022] [Indexed: 06/15/2023]
Abstract
Crop wild relatives of the cultivated sunflower (Helianthus annuus L.) are a valuable resource for its sustainable production. Helianthus praecox ssp. runyonii is a wild sunflower known for its resistance against diseases caused by the fungus, Sclerotinia sclerotiorum (Lib.) de Bary, which infects over 400 broadleaf hosts including many important food crops. The objective of this research was to dissect the Sclerotinia basal stalk rot (BSR) resistance introgressed from H. praecox ssp. runyonii into cultivated sunflower. An advanced backcross quantitative trait loci (AB-QTL) mapping population was developed from the cross of a H. praecox accession with cultivated sunflower lines. The AB-QTL population was evaluated for BSR resistance in the field during the summers of 2017-2018 and in the greenhouse in the spring of 2018. Highly significant genetic variations (p < 0.001) were observed for the BSR disease in the field and greenhouse with a moderately high broad-sense heritability (H 2) ranging from 0.66 to 0.73. Genotyping-by-sequencing approach was used to genotype the parents and the progeny lines of the AB-QTL population. A genetic linkage map spanning 1,802.95 cM was constructed using 1,755 single nucleotide polymorphism (SNP) markers mapped on 17 sunflower chromosomes. A total of 19 BSR resistance QTL were detected on nine sunflower chromosomes, each explaining 2.21%-16.99% of the phenotypic variance for resistance in the AB-QTL population. Sixteen of the 19 QTL had alleles conferring increased BSR resistance derived from the H. praecox parent. SNP markers flanking the identified QTL will facilitate marker-assisted breeding to combat the disease in sunflower.
Collapse
Affiliation(s)
- Zahirul I. Talukder
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States
| | - William Underwood
- USDA-Agricultural Research Service, Edward T. Schafer Agricultural Research Center, Fargo, ND, United States
| | - Christopher G. Misar
- USDA-Agricultural Research Service, Edward T. Schafer Agricultural Research Center, Fargo, ND, United States
| | - Gerald J. Seiler
- USDA-Agricultural Research Service, Edward T. Schafer Agricultural Research Center, Fargo, ND, United States
| | - Xiwen Cai
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States
| | - Xuehui Li
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States
| | - Lili Qi
- USDA-Agricultural Research Service, Edward T. Schafer Agricultural Research Center, Fargo, ND, United States
| |
Collapse
|
8
|
Talukder ZI, Underwood W, Misar CG, Seiler GJ, Liu Y, Li X, Cai X, Qi L. Unraveling the Sclerotinia Basal Stalk Rot Resistance Derived From Wild Helianthus argophyllus Using a High-Density Single Nucleotide Polymorphism Linkage Map. FRONTIERS IN PLANT SCIENCE 2021; 11:617920. [PMID: 33613588 PMCID: PMC7886805 DOI: 10.3389/fpls.2020.617920] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 12/21/2020] [Indexed: 05/30/2023]
Abstract
Basal stalk rot (BSR), caused by the fungus Sclerotinia sclerotiorum, is a serious disease of sunflower (Helianthus annuus L.) in the humid temperate growing areas of the world. BSR resistance is quantitative and conditioned by multiple genes. Our objective was to dissect the BSR resistance introduced from the wild annual species Helianthus argophyllus using a quantitative trait loci (QTL) mapping approach. An advanced backcross population (AB-QTL) with 134 lines derived from the cross of HA 89 with a H. argophyllus Torr. and Gray accession, PI 494573, was evaluated for BSR resistance in three field and one greenhouse growing seasons of 2017-2019. Highly significant genetic variations (p < 0.001) were observed for BSR disease incidence (DI) in all field screening tests and disease rating and area under the disease progress curve in the greenhouse. The AB-QTL population and its parental lines were genotyped using the genotyping-by-sequencing method. A genetic linkage map spanning 2,045.14 cM was constructed using 3,110 SNP markers mapped on 17 sunflower chromosomes. A total of 21 QTL associated with BSR resistance were detected on 11 chromosomes, each explaining a phenotypic variation ranging from 4.5 to 22.6%. Of the 21 QTL, eight were detected for BSR DI measured in the field, seven were detected for traits measured in the greenhouse, and six were detected from both field and greenhouse tests. Thirteen of the 21 QTL had favorable alleles from the H. argophyllus parent conferring increased BSR resistance.
Collapse
Affiliation(s)
- Zahirul I. Talukder
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States
| | - William Underwood
- United States Department of Agriculture – Agricultural Research Service, Edward T. Schafer Agricultural Research Center, Fargo, ND, United States
| | - Christopher G. Misar
- United States Department of Agriculture – Agricultural Research Service, Edward T. Schafer Agricultural Research Center, Fargo, ND, United States
| | - Gerald J. Seiler
- United States Department of Agriculture – Agricultural Research Service, Edward T. Schafer Agricultural Research Center, Fargo, ND, United States
| | - Yuan Liu
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States
| | - Xuehui Li
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States
| | - Xiwen Cai
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States
| | - Lili Qi
- United States Department of Agriculture – Agricultural Research Service, Edward T. Schafer Agricultural Research Center, Fargo, ND, United States
| |
Collapse
|
9
|
Underwood W, Misar CG, Block C, Gulya TJ, Talukder Z, Hulke BS, Markell SG. A Greenhouse Method to Evaluate Sunflower Quantitative Resistance to Basal Stalk Rot Caused by Sclerotinia sclerotiorum. PLANT DISEASE 2021; 105:464-472. [PMID: 33264029 DOI: 10.1094/pdis-08-19-1790-re] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Resistance of sunflower to basal stalk rot (BSR) caused by the fungus Sclerotinia sclerotiorum is quantitative, controlled by multiple genes contributing small effects. Consequently, artificial inoculation procedures allowing sufficient throughput and resolution of resistance are needed to identify highly resistant sunflower germplasm resources and to map loci contributing to resistance. The objective of this study was to develop a greenhouse-based method for evaluating sunflower quantitative resistance to BSR that would be simple, space- and time-efficient, high throughput, high resolution, and correlated with field observations. Experiments were conducted with 5-week-old sunflower plants and Sclerotinia-infested millet seed as inoculum to assess the impact of pot size and temperature and to determine the most favorable inoculum rate and placement. Subsequently, an additional experiment was performed to assess the correlation of the greenhouse inoculation procedure with field results by using a panel of 32 sunflower genotypes with known field response to BSR previously determined in multiyear, multilocation artificially inoculated trials. Experimental observations indicated that the newly developed greenhouse inoculation procedure provided improved resolution to identify highly resistant genotypes and was strongly correlated with field observations. This method will be useful for screening of sunflower experimental and breeding materials, disease phenotyping of genetic mapping populations, and evaluation of resistance to different pathogen isolates.
Collapse
Affiliation(s)
- William Underwood
- USDA-ARS Sunflower and Plant Biology Research Unit, Edward T. Schafer Agricultural Research Center, Fargo, ND 58102
| | - Christopher G Misar
- USDA-ARS Sunflower and Plant Biology Research Unit, Edward T. Schafer Agricultural Research Center, Fargo, ND 58102
| | - Charles Block
- Seed Science Center, Iowa State University, Ames, IA 50011
| | - Thomas J Gulya
- USDA-ARS Sunflower and Plant Biology Research Unit (retired), Edward T. Schafer Agricultural Research Center, Fargo, ND 58102
| | - Zahirul Talukder
- Department of Plant Sciences, North Dakota State University, Fargo, ND 58102
| | - Brent S Hulke
- USDA-ARS Sunflower and Plant Biology Research Unit, Edward T. Schafer Agricultural Research Center, Fargo, ND 58102
| | - Samuel G Markell
- Department of Plant Pathology, North Dakota State University, Fargo, ND 58102
| |
Collapse
|
10
|
Fass MI, Rivarola M, Ehrenbolger GF, Maringolo CA, Montecchia JF, Quiroz F, García-García F, Blázquez JD, Hopp HE, Heinz RA, Paniego NB, Lia VV. Exploring sunflower responses to Sclerotinia head rot at early stages of infection using RNA-seq analysis. Sci Rep 2020; 10:13347. [PMID: 32770047 PMCID: PMC7414910 DOI: 10.1038/s41598-020-70315-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 07/24/2020] [Indexed: 12/24/2022] Open
Abstract
Sclerotinia head rot (SHR), caused by the necrotrophic fungus Sclerotinia sclerotiorum, is one of the most devastating sunflower crop diseases. Despite its worldwide occurrence, the genetic determinants of plant resistance are still largely unknown. Here, we investigated the Sclerotinia-sunflower pathosystem by analysing temporal changes in gene expression in one susceptible and two tolerant inbred lines (IL) inoculated with the pathogen under field conditions. Differential expression analysis showed little overlapping among ILs, suggesting genotype-specific control of cell defense responses possibly related to differences in disease resistance strategies. Functional enrichment assessments yielded a similar pattern. However, all three ILs altered the expression of genes involved in the cellular redox state and cell wall remodeling, in agreement with current knowledge about the initiation of plant immune responses. Remarkably, the over-representation of long non-coding RNAs (lncRNA) was another common feature among ILs. Our findings highlight the diversity of transcriptional responses to SHR within sunflower breeding lines and provide evidence of lncRNAs playing a significant role at early stages of defense.
Collapse
Affiliation(s)
- Mónica I Fass
- Instituto de Agrobiotecnología y Biología Molecular (IABIMO), Instituto Nacional de Tecnología Agropecuaria (INTA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Hurlingham B1686IGC, Buenos Aires, Argentina.
| | - Máximo Rivarola
- Instituto de Agrobiotecnología y Biología Molecular (IABIMO), Instituto Nacional de Tecnología Agropecuaria (INTA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Hurlingham B1686IGC, Buenos Aires, Argentina
| | - Guillermo F Ehrenbolger
- Instituto de Agrobiotecnología y Biología Molecular (IABIMO), Instituto Nacional de Tecnología Agropecuaria (INTA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Hurlingham B1686IGC, Buenos Aires, Argentina
| | - Carla A Maringolo
- Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce, Balcarce, Argentina
| | - Juan F Montecchia
- Instituto de Agrobiotecnología y Biología Molecular (IABIMO), Instituto Nacional de Tecnología Agropecuaria (INTA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Hurlingham B1686IGC, Buenos Aires, Argentina
| | - Facundo Quiroz
- Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce, Balcarce, Argentina
| | | | - Joaquín Dopazo Blázquez
- Clinical Bioinformatics Area, Fundación Progreso y Salud (FPS), CDCA, Hospital Virgen del Rocio, 41013, Sevilla, Spain.,INB-ELIXIR-Es, FPS, Hospital Virgen del Rocío, 42013, Sevilla, Spain
| | - H Esteban Hopp
- Instituto de Agrobiotecnología y Biología Molecular (IABIMO), Instituto Nacional de Tecnología Agropecuaria (INTA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Hurlingham B1686IGC, Buenos Aires, Argentina.,Departamento de Fisiología, Biología Molecular y Celular (FBMC), Facultad de Ciencias Exactas y Naturales (FCEyN), Universidad de Buenos Aires (UBA), 1428, Ciudad Universitaria, Buenos Aires, Argentina
| | - Ruth A Heinz
- Instituto de Agrobiotecnología y Biología Molecular (IABIMO), Instituto Nacional de Tecnología Agropecuaria (INTA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Hurlingham B1686IGC, Buenos Aires, Argentina
| | - Norma B Paniego
- Instituto de Agrobiotecnología y Biología Molecular (IABIMO), Instituto Nacional de Tecnología Agropecuaria (INTA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Hurlingham B1686IGC, Buenos Aires, Argentina
| | - Verónica V Lia
- Instituto de Agrobiotecnología y Biología Molecular (IABIMO), Instituto Nacional de Tecnología Agropecuaria (INTA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Hurlingham B1686IGC, Buenos Aires, Argentina
| |
Collapse
|
11
|
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.
Collapse
|
12
|
Filippi CV, Merino GA, Montecchia JF, Aguirre NC, Rivarola M, Naamati G, Fass MI, Álvarez D, Di Rienzo J, Heinz RA, Contreras Moreira B, Lia VV, Paniego NB. Genetic Diversity, Population Structure and Linkage Disequilibrium Assessment among International Sunflower Breeding Collections. Genes (Basel) 2020; 11:E283. [PMID: 32155892 PMCID: PMC7140877 DOI: 10.3390/genes11030283] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 03/01/2020] [Accepted: 03/03/2020] [Indexed: 12/20/2022] Open
Abstract
Sunflower germplasm collections are valuable resources for broadening the genetic base of commercial hybrids and ameliorate the risk of climate events. Nowadays, the most studied worldwide sunflower pre-breeding collections belong to INTA (Argentina), INRA (France), and USDA-UBC (United States of America-Canada). In this work, we assess the amount and distribution of genetic diversity (GD) available within and between these collections to estimate the distribution pattern of global diversity. A mixed genotyping strategy was implemented, by combining proprietary genotyping-by-sequencing data with public whole-genome-sequencing data, to generate an integrative 11,834-common single nucleotide polymorphism matrix including the three breeding collections. In general, the GD estimates obtained were moderate. An analysis of molecular variance provided evidence of population structure between breeding collections. However, the optimal number of subpopulations, studied via discriminant analysis of principal components (K = 12), the bayesian STRUCTURE algorithm (K = 6) and distance-based methods (K = 9) remains unclear, since no single unifying characteristic is apparent for any of the inferred groups. Different overall patterns of linkage disequilibrium (LD) were observed across chromosomes, with Chr10, Chr17, Chr5, and Chr2 showing the highest LD. This work represents the largest and most comprehensive inter-breeding collection analysis of genomic diversity for cultivated sunflower conducted to date.
Collapse
Affiliation(s)
- Carla V. Filippi
- Instituto de Agrobiotecnología y Biología Molecular–IABiMo–INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas, Instituto Nacional de Tecnología Agropecuaria, Hurlingham 1686, Argentina
- Programa Académico para la Investigación e Innovación en Biotecnología, Universidad Nacional de Moreno–UNM, Moreno 1744, Argentina
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Gabriela A. Merino
- Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática–IBB, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional de Entre Ríos, Oro Verde 3100, Argentina
- Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional-sinc(i), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional del Litoral, Santa Fe 3000, Argentina
| | - Juan F. Montecchia
- Instituto de Agrobiotecnología y Biología Molecular–IABiMo–INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas, Instituto Nacional de Tecnología Agropecuaria, Hurlingham 1686, Argentina
| | - Natalia C. Aguirre
- Instituto de Agrobiotecnología y Biología Molecular–IABiMo–INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas, Instituto Nacional de Tecnología Agropecuaria, Hurlingham 1686, Argentina
| | - Máximo Rivarola
- Instituto de Agrobiotecnología y Biología Molecular–IABiMo–INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas, Instituto Nacional de Tecnología Agropecuaria, Hurlingham 1686, Argentina
| | - Guy Naamati
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Mónica I. Fass
- Instituto de Agrobiotecnología y Biología Molecular–IABiMo–INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas, Instituto Nacional de Tecnología Agropecuaria, Hurlingham 1686, Argentina
| | - Daniel Álvarez
- Estación Experimental Agropecuaria INTA Manfredi, Manfredi 5988, Argentina
| | - Julio Di Rienzo
- Facultad de Ciencias Agropecuarias, Universidad Nacional de Córdoba, Córdoba 5000, Argentina
| | - Ruth A. Heinz
- Instituto de Agrobiotecnología y Biología Molecular–IABiMo–INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas, Instituto Nacional de Tecnología Agropecuaria, Hurlingham 1686, Argentina
| | - Bruno Contreras Moreira
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Verónica V. Lia
- Instituto de Agrobiotecnología y Biología Molecular–IABiMo–INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas, Instituto Nacional de Tecnología Agropecuaria, Hurlingham 1686, Argentina
| | - Norma B. Paniego
- Instituto de Agrobiotecnología y Biología Molecular–IABiMo–INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas, Instituto Nacional de Tecnología Agropecuaria, Hurlingham 1686, Argentina
| |
Collapse
|
13
|
Genetic Dissection of Phomopsis Stem Canker Resistance in Cultivated Sunflower Using High Density SNP Linkage Map. Int J Mol Sci 2020; 21:ijms21041497. [PMID: 32098308 PMCID: PMC7073018 DOI: 10.3390/ijms21041497] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 02/13/2020] [Accepted: 02/19/2020] [Indexed: 11/22/2022] Open
Abstract
Phomopsis stem canker (PSC) caused by Diaporthe helianthi is increasingly becoming a global threat for sunflower production. In this study, the genetic basis of PSC resistance was investigated in a recombinant inbred line (RIL) population developed from a cross between HA 89 (susceptible) and HA-R3 (resistant). The RIL population was evaluated for PSC disease incidence (DI) in seven screening trials at multiple locations during 2016–2018. The distribution of PSC DI in the RIL population was continuous, confirming a polygenic inheritance of the trait. A moderately high broad-sense heritability (H2, 0.76) was estimated for the trait across environments. In the combined analysis, both the genotype and the genotype × environment interactions were highly significant. A linkage map spanning 1505.33 cM was constructed using genotyping-by-sequencing derived markers. Marker–trait association analysis identified a total of 15 quantitative trait loci (QTL) associated with PSC resistance on 11 sunflower chromosomes, each explaining between 5.24 and 17.39% of the phenotypic variation. PSC resistance QTL were detected in two genomic regions each on chromosomes 3, 5, 13, and 17, while one QTL each was detected in the remaining seven chromosomes. Tightly linked single nucleotide polymorphism (SNP) markers flanking the PSC resistance QTL will facilitate marker-assisted selection in PSC resistance sunflower breeding.
Collapse
|
14
|
Talukder ZI, Long Y, Seiler GJ, Underwood W, Qi L. Introgression and monitoring of wild Helianthus praecox alien segments associated with Sclerotinia basal stalk rot resistance in sunflower using genotyping-by-sequencing. PLoS One 2019; 14:e0213065. [PMID: 30822322 PMCID: PMC6396933 DOI: 10.1371/journal.pone.0213065] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 02/14/2019] [Indexed: 11/19/2022] Open
Abstract
Sclerotinia basal stalk rot (BSR) and downy mildew are major diseases of sunflowers worldwide. Breeding for BSR resistance traditionally relies upon cultivated sunflower germplasm that has only partial resistance thus lacking an effective resistance against the pathogen. In this study, we report the transfer of BSR resistance from sunflower wild species, Helianthus praecox, into cultivated sunflower and molecular assessment of the introgressed segments potentially associated with BSR resistance using the genotyping-by-sequencing (GBS) approach. Eight highly BSR-resistant H. praecox introgression lines (ILs), H.pra 1 to H.pra 8, were developed. The mean BSR disease incidence (DI) for H.pra 1 to H.pra 8 across environments for four years ranged from 1.2 to 11.1%, while DI of Cargill 270 (susceptible check), HA 89 (recurrent parent), HA 441 and Croplan 305 (resistant checks) was 36.1, 31.0, 19.5, and 11.6%, respectively. Molecular assessment using GBS detected the presence of H. praecox chromosome segments in chromosomes 1, 8, 10, 11, and 14 of the ILs. Both shared and unique polymorphic SNP loci were detected throughout the entire genomes of the ILs, suggesting the successful transfer of common and novel introgression regions that are potentially associated with BSR resistance. Downy mildew (DM) disease screening and molecular tests revealed that a DM resistance gene, Pl17, derived from one of the inbred parent HA 458 was present in four ILs. Introgression germplasms possessing resistance to both Sclerotinia BSR and DM will extend the useful diversity of the primary gene pool in the fight against two destructive sunflower diseases.
Collapse
Affiliation(s)
- Zahirul I. Talukder
- Department of Plant Sciences, North Dakota State University, Fargo, North Dakota, United States of America
| | - Yunming Long
- Department of Plant Sciences, North Dakota State University, Fargo, North Dakota, United States of America
| | - Gerald J. Seiler
- Sunflower and Plant Biology Research Unit, USDA-Agricultural Research Service, Edward T. Schafer Agricultural Research Center, Fargo, North Dakota, United States of America
| | - William Underwood
- Sunflower and Plant Biology Research Unit, USDA-Agricultural Research Service, Edward T. Schafer Agricultural Research Center, Fargo, North Dakota, United States of America
| | - Lili Qi
- Sunflower and Plant Biology Research Unit, USDA-Agricultural Research Service, Edward T. Schafer Agricultural Research Center, Fargo, North Dakota, United States of America
- * E-mail:
| |
Collapse
|
15
|
Torello Marinoni D, Valentini N, Portis E, Acquadro A, Beltramo C, Mehlenbacher SA, Mockler TC, Rowley ER, Botta R. High density SNP mapping and QTL analysis for time of leaf budburst in Corylus avellana L. PLoS One 2018; 13:e0195408. [PMID: 29608620 PMCID: PMC5880404 DOI: 10.1371/journal.pone.0195408] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2017] [Accepted: 03/21/2018] [Indexed: 01/25/2023] Open
Abstract
The growing area of European hazelnut (Corylus avellana L.) is increasing, as well as the number of producing countries, and there is a pressing need for new improved cultivars. Hazelnut conventional breeding process is slow, due to the length of juvenile phase and the high heterozygosity level. The development of genetic linkage maps and the identification of molecular markers tightly linked to QTL (quantitative trait loci) of agronomic interest are essential tools for speeding up the selection of seedlings carrying desired traits through marker-assisted selection. The objectives of this study were to enrich a previous linkage map and confirm QTL related to time of leaf budburst, using an F1 population obtained by crossing Tonda Gentile delle Langhe with Merveille de Bollwiller. Genotyping-by-Sequencing was used to identify a total of 9,999 single nucleotide polymorphism markers. Well saturated linkage maps were constructed for each parent using the double pseudo-testcross mapping strategy. A reciprocal translocation was detected in Tonda Gentile delle Langhe between two non-homologous chromosomes. Applying a bioinformatic approach, we were able to disentangle ‘pseudo-linkage’ between markers, removing markers around the translocation breakpoints and obtain a linear order of the markers for the two chromosomes arms, for each linkage group involved in the translocation. Twenty-nine QTL for time of leaf budburst were identified, including a stably expressed region on LG_02 of the Tonda Gentile delle Langhe map. The stability of these QTL and their coding sequence content indicates promise for the identification of specific chromosomal regions carrying key genes involved in leaf budburst.
Collapse
Affiliation(s)
- Daniela Torello Marinoni
- Dipartimento di Scienze Agrarie, Forestali e Alimentari, Università degli Studi di Torino, Grugliasco, Torino, Italy
| | - Nadia Valentini
- Dipartimento di Scienze Agrarie, Forestali e Alimentari, Università degli Studi di Torino, Grugliasco, Torino, Italy
| | - Ezio Portis
- Dipartimento di Scienze Agrarie, Forestali e Alimentari, Università degli Studi di Torino, Grugliasco, Torino, Italy
- * E-mail:
| | - Alberto Acquadro
- Dipartimento di Scienze Agrarie, Forestali e Alimentari, Università degli Studi di Torino, Grugliasco, Torino, Italy
| | - Chiara Beltramo
- Dipartimento di Scienze Agrarie, Forestali e Alimentari, Università degli Studi di Torino, Grugliasco, Torino, Italy
| | - Shawn A. Mehlenbacher
- Department of Horticulture, Oregon State University, Corvallis, Oregon, United States of America
| | - Todd C. Mockler
- Donald Danforth Plant Science Center, St. Louis, Missouri, United States of America
| | - Erik R. Rowley
- Donald Danforth Plant Science Center, St. Louis, Missouri, United States of America
| | - Roberto Botta
- Dipartimento di Scienze Agrarie, Forestali e Alimentari, Università degli Studi di Torino, Grugliasco, Torino, Italy
| |
Collapse
|
16
|
Zhang Y, Wang X, Chang X, Sun M, Zhang Y, Li W, Li Y. Overexpression of germin-like protein GmGLP10 enhances resistance to Sclerotinia sclerotiorum in transgenic tobacco. Biochem Biophys Res Commun 2018; 497:160-166. [PMID: 29428735 DOI: 10.1016/j.bbrc.2018.02.046] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2018] [Accepted: 02/06/2018] [Indexed: 02/02/2023]
Abstract
Germin-like proteins (GLPs) are ubiquitous water-soluble glycoproteins that are located in the extracellular matrix. These proteins have been reported to play vital roles in diverse biological processes. In the present study, a GLP in soybean (Glycine max L. Merr.), GmGLP10, was characterized. Sequence analysis revealed that the GmGLP10 gene (GenBank Accession Number EU916258) encodes a 213-amino acid (aa) protein, which contains a N-terminal signal peptide at 1-22 aa and is highly homologous to the members of the GER2 subfamily. GmGLP10 was highly expressed in the leaves, but very faint in the roots. The expression of GmGLP10 was induced by methyl jasmonate (MeJA), ethylene (ET), salicylic acid (SA), oxalate acid (OA), and the infection of Sclerotinia sclerotiorum. Overexpression of GmGLP10 in transgenic tobacco significantly enhanced tolerance to OA and S. sclerotiorum infection. Moreover, higher levels of H2O2 and the upregulated expression of a set of plant defense-related genes and HR (hypersensitive response)-associated genes were detected in the transgenic plants. These results suggest that GmGLP10 functions as a positive regulator of resistance to S. sclerotiorum.
Collapse
Affiliation(s)
- Yuhang Zhang
- Key Laboratory of Soybean Biology in Chinese Education Ministry (Northeastern Key Laboratory of Soybean Biology and Genetics & Breeding in Chinese Ministry of Agriculture), Northeast Agricultural University, Harbin 150030, China
| | - Xuesong Wang
- Key Laboratory of Soybean Biology in Chinese Education Ministry (Northeastern Key Laboratory of Soybean Biology and Genetics & Breeding in Chinese Ministry of Agriculture), Northeast Agricultural University, Harbin 150030, China
| | - Xingchao Chang
- Key Laboratory of Soybean Biology in Chinese Education Ministry (Northeastern Key Laboratory of Soybean Biology and Genetics & Breeding in Chinese Ministry of Agriculture), Northeast Agricultural University, Harbin 150030, China
| | - Mingyang Sun
- Key Laboratory of Soybean Biology in Chinese Education Ministry (Northeastern Key Laboratory of Soybean Biology and Genetics & Breeding in Chinese Ministry of Agriculture), Northeast Agricultural University, Harbin 150030, China
| | - Yanzheng Zhang
- Key Laboratory of Soybean Biology in Chinese Education Ministry (Northeastern Key Laboratory of Soybean Biology and Genetics & Breeding in Chinese Ministry of Agriculture), Northeast Agricultural University, Harbin 150030, China
| | - Wenbin Li
- Key Laboratory of Soybean Biology in Chinese Education Ministry (Northeastern Key Laboratory of Soybean Biology and Genetics & Breeding in Chinese Ministry of Agriculture), Northeast Agricultural University, Harbin 150030, China.
| | - Yongguang Li
- Key Laboratory of Soybean Biology in Chinese Education Ministry (Northeastern Key Laboratory of Soybean Biology and Genetics & Breeding in Chinese Ministry of Agriculture), Northeast Agricultural University, Harbin 150030, China.
| |
Collapse
|
17
|
Dimitrijevic A, Horn R. Sunflower Hybrid Breeding: From Markers to Genomic Selection. FRONTIERS IN PLANT SCIENCE 2018; 8:2238. [PMID: 29387071 PMCID: PMC5776114 DOI: 10.3389/fpls.2017.02238] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2017] [Accepted: 12/20/2017] [Indexed: 05/03/2023]
Abstract
In sunflower, molecular markers for simple traits as, e.g., fertility restoration, high oleic acid content, herbicide tolerance or resistances to Plasmopara halstedii, Puccinia helianthi, or Orobanche cumana have been successfully used in marker-assisted breeding programs for years. However, agronomically important complex quantitative traits like yield, heterosis, drought tolerance, oil content or selection for disease resistance, e.g., against Sclerotinia sclerotiorum have been challenging and will require genome-wide approaches. Plant genetic resources for sunflower are being collected and conserved worldwide that represent valuable resources to study complex traits. Sunflower association panels provide the basis for genome-wide association studies, overcoming disadvantages of biparental populations. Advances in technologies and the availability of the sunflower genome sequence made novel approaches on the whole genome level possible. Genotype-by-sequencing, and whole genome sequencing based on next generation sequencing technologies facilitated the production of large amounts of SNP markers for high density maps as well as SNP arrays and allowed genome-wide association studies and genomic selection in sunflower. Genome wide or candidate gene based association studies have been performed for traits like branching, flowering time, resistance to Sclerotinia head and stalk rot. First steps in genomic selection with regard to hybrid performance and hybrid oil content have shown that genomic selection can successfully address complex quantitative traits in sunflower and will help to speed up sunflower breeding programs in the future. To make sunflower more competitive toward other oil crops higher levels of resistance against pathogens and better yield performance are required. In addition, optimizing plant architecture toward a more complex growth type for higher plant densities has the potential to considerably increase yields per hectare. Integrative approaches combining omic technologies (genomics, transcriptomics, proteomics, metabolomics and phenomics) using bioinformatic tools will facilitate the identification of target genes and markers for complex traits and will give a better insight into the mechanisms behind the traits.
Collapse
Affiliation(s)
| | - Renate Horn
- Institut für Biowissenschaften, Abteilung Pflanzengenetik, Universität Rostock, Rostock, Germany
| |
Collapse
|
18
|
Gao QM, Kane NC, Hulke BS, Reinert S, Pogoda CS, Tittes S, Prasifka JR. Genetic Architecture of Capitate Glandular Trichome Density in Florets of Domesticated Sunflower ( Helianthus annuus L.). FRONTIERS IN PLANT SCIENCE 2018; 8:2227. [PMID: 29375602 PMCID: PMC5767279 DOI: 10.3389/fpls.2017.02227] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Accepted: 12/18/2017] [Indexed: 06/07/2023]
Abstract
Capitate glandular trichomes (CGT), one type of glandular trichomes, are most common in Asteraceae species. CGT can produce various secondary metabolites such as sesquiterpene lactones (STLs) and provide durable resistance to insect pests. In sunflower, CGT-based host resistance is effective to combat the specialist pest, sunflower moth. However, the genetic basis of CGT density is not well understood in sunflower. In this study, we identified two major QTL controlling CGT density in sunflower florets by using a F4 mapping population derived from the cross HA 300 × RHA 464 with a genetic linkage map constructed from genotyping-by-sequencing data and composed of 2121 SNP markers. One major QTL is located on chromosome 5, which explained 11.61% of the observed phenotypic variation, and the second QTL is located on chromosome 6, which explained 14.06% of the observed phenotypic variation. The QTL effects and the association between CGT density and QTL support interval were confirmed in a validation population which included 39 sunflower inbred lines with diverse genetic backgrounds. We also identified two strong candidate genes in the QTL support intervals, and the functions of their orthologs in other plant species suggested their potential roles in regulating capitate glandular trichome density in sunflower. Our results provide valuable information to sunflower breeding community for developing host resistance to sunflower insect pests.
Collapse
Affiliation(s)
- Qing-Ming Gao
- USDA-ARS Red River Valley Agricultural Research Center, Fargo, ND, United States
| | - Nolan C. Kane
- Ecology and Evolutionary Biology Department, University of Colorado, Boulder, CO, United States
| | - Brent S. Hulke
- USDA-ARS Red River Valley Agricultural Research Center, Fargo, ND, United States
| | - Stephan Reinert
- Ecology and Evolutionary Biology Department, University of Colorado, Boulder, CO, United States
| | - Cloe S. Pogoda
- Ecology and Evolutionary Biology Department, University of Colorado, Boulder, CO, United States
| | - Silas Tittes
- Ecology and Evolutionary Biology Department, University of Colorado, Boulder, CO, United States
| | - Jarrad R. Prasifka
- USDA-ARS Red River Valley Agricultural Research Center, Fargo, ND, United States
| |
Collapse
|
19
|
Qi L, Long Y, Talukder ZI, Seiler GJ, Block CC, Gulya TJ. Genotyping-by-Sequencing Uncovers the Introgression Alien Segments Associated with Sclerotinia Basal Stalk Rot Resistance from Wild Species-I. Helianthus argophyllus and H. petiolaris. Front Genet 2016; 7:219. [PMID: 28083014 PMCID: PMC5183654 DOI: 10.3389/fgene.2016.00219] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Accepted: 12/12/2016] [Indexed: 12/03/2022] Open
Abstract
Basal stalk rot (BSR), caused by Sclerotinia sclerotiorum, is a devastating disease in sunflower worldwide. The progress of breeding for Sclerotinia BSR resistance has been hampered due to the lack of effective sources of resistance for cultivated sunflower. Our objective was to transfer BSR resistance from wild annual Helianthus species into cultivated sunflower and identify the introgressed alien segments associated with BSR resistance using a genotyping-by-sequencing (GBS) approach. The initial crosses were made between the nuclear male sterile HA 89 with the BSR resistant plants selected from wild Helianthus argophyllus and H. petiolaris populations in 2009. The selected resistant F1 plants were backcrossed to HA 458 and HA 89, respectively. Early generation evaluations of BSR resistance were conducted in the greenhouse, while the BC2F3 and subsequent generations were evaluated in the inoculated field nurseries. Eight introgression lines; six from H. argophyllus (H.arg 1 to H.arg 6), and two from H. petiolaris (H.pet 1 and H.pet 2), were selected. These lines consistently showed high levels of BSR resistance across seven environments from 2012 to 2015 in North Dakota and Minnesota, USA. The mean BSR disease incidence (DI) for H.arg 1 to H.arg 6, H.pet 1, and H.pet 2 was 3.0, 3.2, 0.8, 7.2, 7.7, 1.9, 2.5, and 4.4%, compared to a mean DI of 36.1% for Cargill 270 (susceptible hybrid), 31.0% for HA 89 (recurrent parent), 19.5% for HA 441 (resistant inbred), and 11.6% for Croplan 305 (resistant hybrid). Genotyping of the highly BSR resistant introgression lines using GBS revealed the presence of the H. argophyllus segments in linkage groups (LGs) 3, 8, 9, 10, and 11 of the sunflower genome, and the H. petiolaris segments only in LG8. The shared polymorphic SNP loci in the introgression lines were detected in LGs 8, 9, 10, and 11, indicating the common introgression regions potentially associated with BSR resistance. Additionally, a downy mildew resistance gene, Pl17, derived from one of the parents, HA 458, was integrated into five introgression lines. Germplasms combining resistance to Sclerotinia BSR and downy mildew represent a valuable genetic source for sunflower breeding to combat these two destructive diseases.
Collapse
Affiliation(s)
- Lili Qi
- Northern Crop Science Laboratory, USDA-Agricultural Research Service Fargo, ND, USA
| | - Yunming Long
- Department of Plant Sciences, North Dakota State University Fargo, ND, USA
| | - Zahirul I Talukder
- Department of Plant Sciences, North Dakota State University Fargo, ND, USA
| | - Gerald J Seiler
- Northern Crop Science Laboratory, USDA-Agricultural Research Service Fargo, ND, USA
| | | | - Thomas J Gulya
- Northern Crop Science Laboratory, USDA-Agricultural Research Service Fargo, ND, USA
| |
Collapse
|