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Spasibionek S, Mikołajczyk K, Matuszczak M, Kaczmarek J, Ramzi N, Jędryczka M. HO-CR and HOLL-CR: new forms of winter oilseed rape (Brassica napus L.) with altered fatty acid composition and resistance to selected pathotypes of Plasmodiophora brassicae (clubroot). J Appl Genet 2024; 65:439-452. [PMID: 38637489 PMCID: PMC11310246 DOI: 10.1007/s13353-024-00867-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/10/2024] [Indexed: 04/20/2024]
Abstract
The priority in oilseed rape (Brassica napus L.) research and breeding programs worldwide is to combine different features to develop cultivars tailored to specific applications of this crop. In this study, forms with a modified fatty acid composition of seed oil were successfully combined with a source of resistance to Plasmodiophora brassicae Wor., a harmful protist-causing clubroot. Three HO-type recombinants in F6-F12 generations with oleic acid content of 80.2-82.1% and one HOLL-type F6 inbred mutant recombinant (HOmut × LLmut), with a high oleic acid content (80.9%) and reduced linolenic acid content (2.3%), were crossed with the cultivar Tosca, resistant to several pathotypes of P. brassicae. The work involved genotyping with the use of DNA markers specific for allelic variants of desaturase genes responsible for the synthesis of oleic and linolenic fatty acids, CAPS (FAD2 desaturase, C18:1), and SNaPshot (FAD3 desaturase, C18:3), respectively. Of 350 progenies in the F3 generation, 192 (55%) were selected for further studies. Among them, 80 HO (≥ 72%) lines were identified, 10 of which showed resistance to at least one up to four P. brassicae pathotypes. Thirty lines in the selected progeny contained high oleic acid and less than 5% linolenic acid; eight of them belonged to the HOLL type conferring resistance to at least one pathotype. Two HO lines and two HOLL lines were resistant to four pathotypes. The resulting HO-CR and HOLL-CR inbred lines with altered seed oil fatty acid composition and resistance to P. brassicae represent unique oilseed rape material with the desired combination of valuable traits.
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Affiliation(s)
- Stanisław Spasibionek
- Plant Breeding and Acclimatization Institute-National Research Institute, Department of Oilseed Crops, Poznań, Poland
| | - Katarzyna Mikołajczyk
- Plant Breeding and Acclimatization Institute-National Research Institute, Department of Oilseed Crops, Poznań, Poland
| | - Marcin Matuszczak
- Plant Breeding and Acclimatization Institute-National Research Institute, Department of Oilseed Crops, Poznań, Poland
| | - Joanna Kaczmarek
- Institute of Plant Genetics, Polish Academy of Sciences, Poznań, Poland
| | - Noor Ramzi
- Institute of Plant Genetics, Polish Academy of Sciences, Poznań, Poland
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Zamani-Noor N, Jędryczka M. Pathotyping Systems and Pathotypes of Plasmodiophora brassicae-Navigating toward the Optimal Classification. Pathogens 2024; 13:313. [PMID: 38668268 PMCID: PMC11053400 DOI: 10.3390/pathogens13040313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 04/07/2024] [Accepted: 04/08/2024] [Indexed: 04/29/2024] Open
Abstract
Plasmodiophora brassicae Woronin, an obligate biotrophic soil-borne pathogen, poses a significant threat to cruciferous crops worldwide by causing the devastating disease known as clubroot. Pathogenic variability in P. brassicae populations has been recognized since the 1930s based on its interactions with Brassica species. Over time, numerous sets of differential hosts have been developed and used worldwide to explore the pathogenic variability within P. brassicae populations. These sets encompass a range of systems, including the Williams system, the European Clubroot Differential set (ECD), the Brassica napus set, the Japanese Clubroot Differential Set, the Canadian Clubroot Differential Set (CCS), the Korean Clubroot Differential Set, and the Chinese Sinitic Clubroot Differential set (SCD). However, all existing systems possess both advantages as well as limitations regarding the detection of pathotypes from various Brassica species and their corresponding virulence pattern on Brassica genotypes. This comprehensive review aims to compare the main differential systems utilized in classifying P. brassicae pathotypes worldwide. Their strengths, limitations, and implications are evaluated, thereby enhancing our understanding of pathogenic variability.
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Affiliation(s)
- Nazanin Zamani-Noor
- Institute for Plant Protection in Field Crops and Grassland, Julius Kühn-Institute (JKI), D-38104 Braunschweig, Germany
| | - Małgorzata Jędryczka
- Pathogen Genetics and Plant Resistance Team, Institute of Plant Genetics, Polish Academy of Sciences, 60-479 Poznań, Poland
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Li Y, Wei ZZ, Sela H, Govta L, Klymiuk V, Roychowdhury R, Chawla HS, Ens J, Wiebe K, Bocharova V, Ben-David R, Pawar PB, Zhang Y, Jaiwar S, Molnár I, Doležel J, Coaker G, Pozniak CJ, Fahima T. Dissection of a rapidly evolving wheat resistance gene cluster by long-read genome sequencing accelerated the cloning of Pm69. PLANT COMMUNICATIONS 2024; 5:100646. [PMID: 37415333 PMCID: PMC10811346 DOI: 10.1016/j.xplc.2023.100646] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 05/10/2023] [Accepted: 07/04/2023] [Indexed: 07/08/2023]
Abstract
Gene cloning in repeat-rich polyploid genomes remains challenging. Here, we describe a strategy for overcoming major bottlenecks in cloning of the powdery mildew resistance gene (R-gene) Pm69 derived from tetraploid wild emmer wheat. A conventional positional cloning approach was not effective owing to suppressed recombination. Chromosome sorting was compromised by insufficient purity. A Pm69 physical map, constructed by assembling Oxford Nanopore Technology (ONT) long-read genome sequences, revealed a rapidly evolving nucleotide-binding leucine-rich repeat (NLR) R-gene cluster with structural variations. A single candidate NLR was identified by anchoring RNA sequencing reads from susceptible mutants to ONT contigs and was validated by virus-induced gene silencing. Pm69 is likely a newly evolved NLR and was discovered in only one location across the wild emmer wheat distribution range in Israel. Pm69 was successfully introgressed into cultivated wheat, and a diagnostic molecular marker was used to accelerate its deployment and pyramiding with other R-genes.
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Affiliation(s)
- Yinghui Li
- Institute of Evolution, University of Haifa, Mt. Carmel, Haifa 3498838, Israel; The Department of Evolutionary and Environmental Biology, University of Haifa, Mt. Carmel, Haifa 3498838, Israel
| | - Zhen-Zhen Wei
- Institute of Evolution, University of Haifa, Mt. Carmel, Haifa 3498838, Israel; The Department of Evolutionary and Environmental Biology, University of Haifa, Mt. Carmel, Haifa 3498838, Israel; The Institute of Plant Protection, Sichuan Academy of Agricultural Sciences, Chengdu 610066, China
| | - Hanan Sela
- Institute of Evolution, University of Haifa, Mt. Carmel, Haifa 3498838, Israel; The Department of Evolutionary and Environmental Biology, University of Haifa, Mt. Carmel, Haifa 3498838, Israel
| | - Liubov Govta
- Institute of Evolution, University of Haifa, Mt. Carmel, Haifa 3498838, Israel; The Department of Evolutionary and Environmental Biology, University of Haifa, Mt. Carmel, Haifa 3498838, Israel
| | - Valentyna Klymiuk
- Institute of Evolution, University of Haifa, Mt. Carmel, Haifa 3498838, Israel; The Department of Evolutionary and Environmental Biology, University of Haifa, Mt. Carmel, Haifa 3498838, Israel; Crop Development Centre and Department of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - Rajib Roychowdhury
- Institute of Evolution, University of Haifa, Mt. Carmel, Haifa 3498838, Israel; The Department of Evolutionary and Environmental Biology, University of Haifa, Mt. Carmel, Haifa 3498838, Israel
| | - Harmeet Singh Chawla
- Crop Development Centre and Department of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - Jennifer Ens
- Crop Development Centre and Department of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - Krystalee Wiebe
- Crop Development Centre and Department of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - Valeria Bocharova
- Institute of Evolution, University of Haifa, Mt. Carmel, Haifa 3498838, Israel; The Department of Evolutionary and Environmental Biology, University of Haifa, Mt. Carmel, Haifa 3498838, Israel
| | - Roi Ben-David
- Institute of Evolution, University of Haifa, Mt. Carmel, Haifa 3498838, Israel; The Department of Evolutionary and Environmental Biology, University of Haifa, Mt. Carmel, Haifa 3498838, Israel; Department of Vegetables and Field Crops, Institute of Plant Sciences, Agricultural Research Organization (ARO) - Volcani Center, Rishon Lezion 7505101, Israel
| | - Prerna B Pawar
- Institute of Evolution, University of Haifa, Mt. Carmel, Haifa 3498838, Israel; The Department of Evolutionary and Environmental Biology, University of Haifa, Mt. Carmel, Haifa 3498838, Israel
| | - Yuqi Zhang
- Department of Crop Genomics and Bioinformatics, China Agricultural University, Beijing 100094, China
| | - Samidha Jaiwar
- Institute of Evolution, University of Haifa, Mt. Carmel, Haifa 3498838, Israel; The Department of Evolutionary and Environmental Biology, University of Haifa, Mt. Carmel, Haifa 3498838, Israel
| | - István Molnár
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, 779 00 Olomouc, Czech Republic
| | - Jaroslav Doležel
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, 779 00 Olomouc, Czech Republic
| | - Gitta Coaker
- Plant Pathology Department, University of California, Davis, Davis, CA 95616, USA
| | - Curtis J Pozniak
- Crop Development Centre and Department of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - Tzion Fahima
- Institute of Evolution, University of Haifa, Mt. Carmel, Haifa 3498838, Israel; The Department of Evolutionary and Environmental Biology, University of Haifa, Mt. Carmel, Haifa 3498838, Israel.
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Li C, Shi H, Xu L, Xing M, Wu X, Bai Y, Niu M, Gao J, Zhou Q, Cui C. Combining transcriptomics and metabolomics to identify key response genes for aluminum toxicity in the root system of Brassica napus L. seedlings. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:169. [PMID: 37418156 PMCID: PMC10328865 DOI: 10.1007/s00122-023-04412-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 06/22/2023] [Indexed: 07/08/2023]
Abstract
By integrating QTL mapping, transcriptomics and metabolomics, 138 hub genes were identified in rapeseed root response to aluminum stress and mainly involved in metabolism of lipids, carbohydrates and secondary metabolites. Aluminum (Al) toxicity has become one of the important abiotic stress factors in areas with acid soil, which hinders the absorption of water and nutrients by roots, and consequently retards the growth of crops. A deeper understanding of the stress-response mechanism of Brassica napus may allow us to identify the tolerance gene(s) and use this information in breeding-resistant crop varieties. In this study, a population of 138 recombinant inbred lines (RILs) was subjected to aluminum stress, and QTL (quantitative trait locus) mapping was used to preliminarily locate quantitative trait loci related to aluminum stress. Root tissues from seedlings of an aluminum-resistant (R) line and an aluminum-sensitive (S) line from the RIL population were harvested for transcriptome sequencing and metabolome determination. By combining the data on quantitative trait genes (QTGs), differentially expressed genes (DEGs), and differentially accumulated metabolites (DAMs), key candidate genes related to aluminum tolerance in rapeseed were determined. The results showed that there were 3186 QTGs in the RIL population, 14,232 DEGs and 457 DAMs in the comparison between R and S lines. Lastly, 138 hub genes were selected to have a strong positive or negative correlation with 30 important metabolites (|R|≥ 0.95). These genes were mainly involved in the metabolism of lipids, carbohydrates and secondary metabolites in response to Al toxicity stress. In summary, this study provides an effective method for screening key genes by combining QTLs, transcriptome sequencing and metabolomic analysis, but also lists key genes for exploring the molecular mechanism of Al tolerance in rapeseed seedling roots.
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Affiliation(s)
- Chenyang Li
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715, China
| | - Hongsong Shi
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715, China
| | - Lu Xu
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715, China
| | - Mingli Xing
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715, China
| | - Xiaoru Wu
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715, China
| | - Yansong Bai
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715, China
| | - Mengyuan Niu
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715, China
| | - Junqi Gao
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715, China
| | - Qingyuan Zhou
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715, China.
| | - Cui Cui
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715, China.
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Amas JC, Thomas WJW, Zhang Y, Edwards D, Batley J. Key Advances in the New Era of Genomics-Assisted Disease Resistance Improvement of Brassica Species. PHYTOPATHOLOGY 2023:PHYTO08220289FI. [PMID: 36324059 DOI: 10.1094/phyto-08-22-0289-fi] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Disease resistance improvement remains a major focus in breeding programs as diseases continue to devastate Brassica production systems due to intensive cultivation and climate change. Genomics has paved the way to understand the complex genomes of Brassicas, which has been pivotal in the dissection of the genetic underpinnings of agronomic traits driving the development of superior cultivars. The new era of genomics-assisted disease resistance breeding has been marked by the development of high-quality genome references, accelerating the identification of disease resistance genes controlling both qualitative (major) gene and quantitative resistance. This facilitates the development of molecular markers for marker assisted selection and enables genome editing approaches for targeted gene manipulation to enhance the genetic value of disease resistance traits. This review summarizes the key advances in the development of genomic resources for Brassica species, focusing on improved genome references, based on long-read sequencing technologies and pangenome assemblies. This is further supported by the advances in pathogen genomics, which have resulted in the discovery of pathogenicity factors, complementing the mining of disease resistance genes in the host. Recognizing the co-evolutionary arms race between the host and pathogen, it is critical to identify novel resistance genes using crop wild relatives and synthetic cultivars or through genetic manipulation via genome-editing to sustain the development of superior cultivars. Integrating these key advances with new breeding techniques and improved phenotyping using advanced data analysis platforms will make disease resistance improvement in Brassica species more efficient and responsive to current and future demands.
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Affiliation(s)
- Junrey C Amas
- School of Biological Sciences and The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, Australia 6001
| | - William J W Thomas
- School of Biological Sciences and The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, Australia 6001
| | - Yueqi Zhang
- School of Biological Sciences and The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, Australia 6001
| | - David Edwards
- School of Biological Sciences and The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, Australia 6001
| | - Jacqueline Batley
- School of Biological Sciences and The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, Australia 6001
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Dolatabadian A, Yuan Y, Bayer PE, Petereit J, Severn-Ellis A, Tirnaz S, Patel D, Edwards D, Batley J. Copy Number Variation among Resistance Genes Analogues in Brassica napus. Genes (Basel) 2022; 13:2037. [PMID: 36360273 PMCID: PMC9690292 DOI: 10.3390/genes13112037] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 10/26/2022] [Accepted: 10/31/2022] [Indexed: 10/31/2024] Open
Abstract
Copy number variations (CNVs) are defined as deletions, duplications and insertions among individuals of a species. There is growing evidence that CNV is a major factor underlining various autoimmune disorders and diseases in humans; however, in plants, especially oilseed crops, the role of CNVs in disease resistance is not well studied. Here, we investigate the genome-wide diversity and genetic properties of CNVs in resistance gene analogues (RGAs) across eight Brassica napus lines. A total of 1137 CNV events (704 deletions and 433 duplications) were detected across 563 RGAs. The results show CNVs are more likely to occur across clustered RGAs compared to singletons. In addition, 112 RGAs were linked to a blackleg resistance QTL, of which 25 were affected by CNV. Overall, we show that the presence and abundance of CNVs differ between lines, suggesting that in B. napus, the distribution of CNVs depends on genetic background. Our findings advance the understanding of CNV as an important type of genomic structural variation in B. napus and provide a resource to support breeding of advanced canola lines.
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Affiliation(s)
- Aria Dolatabadian
- School of Biological Sciences, University of Western Australia, Perth, WA 6009, Australia
| | - Yuxuan Yuan
- School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Philipp Emanuel Bayer
- School of Biological Sciences, University of Western Australia, Perth, WA 6009, Australia
| | - Jakob Petereit
- School of Biological Sciences, University of Western Australia, Perth, WA 6009, Australia
| | - Anita Severn-Ellis
- School of Biological Sciences, University of Western Australia, Perth, WA 6009, Australia
| | - Soodeh Tirnaz
- School of Biological Sciences, University of Western Australia, Perth, WA 6009, Australia
| | - Dhwani Patel
- School of Biological Sciences, University of Western Australia, Perth, WA 6009, Australia
| | - David Edwards
- School of Biological Sciences, University of Western Australia, Perth, WA 6009, Australia
| | - Jacqueline Batley
- School of Biological Sciences, University of Western Australia, Perth, WA 6009, Australia
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Shaw RK, Shen Y, Yu H, Sheng X, Wang J, Gu H. Multi-Omics Approaches to Improve Clubroot Resistance in Brassica with a Special Focus on Brassica oleracea L. Int J Mol Sci 2022; 23:9280. [PMID: 36012543 PMCID: PMC9409056 DOI: 10.3390/ijms23169280] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 08/04/2022] [Accepted: 08/13/2022] [Indexed: 11/17/2022] Open
Abstract
Brassica oleracea is an agronomically important species of the Brassicaceae family, including several nutrient-rich vegetables grown and consumed across the continents. But its sustainability is heavily constrained by a range of destructive pathogens, among which, clubroot disease, caused by a biotrophic protist Plasmodiophora brassicae, has caused significant yield and economic losses worldwide, thereby threatening global food security. To counter the pathogen attack, it demands a better understanding of the complex phenomenon of Brassica-P. brassicae pathosystem at the physiological, biochemical, molecular, and cellular levels. In recent years, multiple omics technologies with high-throughput techniques have emerged as successful in elucidating the responses to biotic and abiotic stresses. In Brassica spp., omics technologies such as genomics, transcriptomics, ncRNAomics, proteomics, and metabolomics are well documented, allowing us to gain insights into the dynamic changes that transpired during host-pathogen interactions at a deeper level. So, it is critical that we must review the recent advances in omics approaches and discuss how the current knowledge in multi-omics technologies has been able to breed high-quality clubroot-resistant B. oleracea. This review highlights the recent advances made in utilizing various omics approaches to understand the host resistance mechanisms adopted by Brassica crops in response to the P. brassicae attack. Finally, we have discussed the bottlenecks and the way forward to overcome the persisting knowledge gaps in delivering solutions to breed clubroot-resistant Brassica crops in a holistic, targeted, and precise way.
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Affiliation(s)
| | | | | | | | | | - Honghui Gu
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
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