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Dipta B, Sood S, Mangal V, Bhardwaj V, Thakur AK, Kumar V, Singh B. KASP: a high-throughput genotyping system and its applications in major crop plants for biotic and abiotic stress tolerance. Mol Biol Rep 2024; 51:508. [PMID: 38622474 DOI: 10.1007/s11033-024-09455-z] [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] [Received: 12/17/2023] [Accepted: 03/18/2024] [Indexed: 04/17/2024]
Abstract
Advances in plant molecular breeding have resulted in the development of new varieties with superior traits, thus improving the crop germplasm. Breeders can screen a large number of accessions without rigorous and time-consuming phenotyping by marker-assisted selection (MAS). Molecular markers are one of the most imperative tools in plant breeding programmes for MAS to develop new cultivars possessing multiple superior traits. Single nucleotide polymorphisms (SNPs) are ideal for MAS due to their low cost, low genotyping error rates, and reproducibility. Kompetitive Allele Specific PCR (KASP) is a globally recognized technology for SNP genotyping. KASP is an allele-specific oligo extension-based PCR assay that uses fluorescence resonance energy transfer (FRET) to detect genetic variations such as SNPs and insertions/deletions (InDels) at a specific locus. Additionally, KASP allows greater flexibility in assay design, which leads to a higher success rate and the capability to genotype a large population. Its versatility and ease of use make it a valuable tool in various fields, including genetics, agriculture, and medical research. KASP has been extensively used in various plant-breeding applications, such as the identification of germplasm resources, quality control (QC) analysis, allele mining, linkage mapping, quantitative trait locus (QTL) mapping, genetic map construction, trait-specific marker development, and MAS. This review provides an overview of the KASP assay and emphasizes its validation in crop improvement related to various biotic and abiotic stress tolerance and quality traits.
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Affiliation(s)
- Bhawna Dipta
- ICAR-Central Potato Research Institute, Bemloe, Shimla, Himachal Pradesh, 171001, India
| | - Salej Sood
- ICAR-Central Potato Research Institute, Bemloe, Shimla, Himachal Pradesh, 171001, India.
| | - Vikas Mangal
- ICAR-Central Potato Research Institute, Bemloe, Shimla, Himachal Pradesh, 171001, India
| | - Vinay Bhardwaj
- ICAR-National Research Centre on Seed Spices, Tabiji, Ajmer, Rajasthan, 305206, India
| | - Ajay Kumar Thakur
- ICAR-Central Potato Research Institute, Bemloe, Shimla, Himachal Pradesh, 171001, India
| | - Vinod Kumar
- ICAR-Central Potato Research Institute, Bemloe, Shimla, Himachal Pradesh, 171001, India
| | - Brajesh Singh
- ICAR-Central Potato Research Institute, Bemloe, Shimla, Himachal Pradesh, 171001, India
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Marone D, Laidò G, Saccomanno A, Petruzzino G, Giaretta Azevedo CV, De Vita P, Mastrangelo AM, Gadaleta A, Ammar K, Bassi FM, Wang M, Chen X, Rubiales D, Matny O, Steffenson BJ, Pecchioni N. Genome-wide association study of common resistance to rust species in tetraploid wheat. FRONTIERS IN PLANT SCIENCE 2024; 14:1290643. [PMID: 38235202 PMCID: PMC10792004 DOI: 10.3389/fpls.2023.1290643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 12/11/2023] [Indexed: 01/19/2024]
Abstract
Rusts of the genus Puccinia are wheat pathogens. Stem (black; Sr), leaf (brown; Lr), and stripe (yellow; Yr) rust, caused by Puccinia graminis f. sp. tritici (Pgt), Puccinia triticina (Pt), and Puccinia striiformis f. sp. tritici (Pst), can occur singularly or in mixed infections and pose a threat to wheat production globally in terms of the wide dispersal of their urediniospores. The development of durable resistant cultivars is the most sustainable method for controlling them. Many resistance genes have been identified, characterized, genetically mapped, and cloned; several quantitative trait loci (QTLs) for resistance have also been described. However, few studies have considered resistance to all three rust pathogens in a given germplasm. A genome-wide association study (GWAS) was carried out to identify loci associated with resistance to the three rusts in a collection of 230 inbred lines of tetraploid wheat (128 of which were Triticum turgidum ssp. durum) genotyped with SNPs. The wheat panel was phenotyped in the field and subjected to growth chamber experiments across different countries (USA, Mexico, Morocco, Italy, and Spain); then, a mixed linear model (MLM) GWAS was performed. In total, 9, 34, and 5 QTLs were identified in the A and B genomes for resistance to Pgt, Pt, and Pst, respectively, at both the seedling and adult plant stages. Only one QTL on chromosome 4A was found to be effective against all three rusts at the seedling stage. Six QTLs conferring resistance to two rust species at the adult plant stage were mapped: three on chromosome 1B and one each on 5B, 7A, and 7B. Fifteen QTLs conferring seedling resistance to two rusts were mapped: five on chromosome 2B, three on 7B, two each on 5B and 6A, and one each on 1B, 2A, and 7A. Most of the QTLs identified were specific for a single rust species or race of a species. Candidate genes were identified within the confidence intervals of a QTL conferring resistance against at least two rust species by using the annotations of the durum (cv. 'Svevo') and wild emmer wheat ('Zavitan') reference genomes. The 22 identified loci conferring resistance to two or three rust species may be useful for breeding new and potentially durable resistant wheat cultivars.
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Affiliation(s)
- Daniela Marone
- Centro di Ricerca Cerealicoltura e Colture Industriali, Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Foggia, Italy
| | - Giovanni Laidò
- Centro di Ricerca Cerealicoltura e Colture Industriali, Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Foggia, Italy
| | - Antonietta Saccomanno
- Centro di Ricerca Cerealicoltura e Colture Industriali, Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Foggia, Italy
- Dipartimento di Scienze della Vita, Università di Modena e Reggio Emilia, Reggio Emilia, Italy
| | - Giuseppe Petruzzino
- Centro di Ricerca Cerealicoltura e Colture Industriali, Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Foggia, Italy
| | - Cleber V. Giaretta Azevedo
- Centro di Ricerca Cerealicoltura e Colture Industriali, Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Foggia, Italy
| | - Pasquale De Vita
- Centro di Ricerca Cerealicoltura e Colture Industriali, Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Foggia, Italy
| | - Anna Maria Mastrangelo
- Centro di Ricerca Cerealicoltura e Colture Industriali, Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Foggia, Italy
| | - Agata Gadaleta
- Dipartimento di Scienze del Suolo, della Pianta e degli Alimenti (Di.S.S.P.A.), Università di Bari “Aldo Moro”, Bari, Italy
| | - Karim Ammar
- International Maize and Wheat Improvement Centre (CIMMYT), Ciudad de México, Mexico
| | - Filippo M. Bassi
- International Center for Agricultural Research in the Dry Areas (ICARDA), Rabat, Morocco
| | - Meinan Wang
- Department of Plant Pathology, Washington State University, Pullman, WA, United States
| | - Xianming Chen
- Department of Plant Pathology, Washington State University, Pullman, WA, United States
- Wheat Health, Genetics, and Quality Research Unit, United States Department of Agriculture - Agriculture Research Service (USDA-ARS), Pullman, WA, United States
| | - Diego Rubiales
- Institute for Sustainable Agriculture, Consejo Superior de Investigaciones Científicas (CSIC), Córdoba, Spain
| | - Oadi Matny
- Department of Plant Pathology, University of Minnesota, St. Paul, MN, United States
| | - Brian J. Steffenson
- Department of Plant Pathology, University of Minnesota, St. Paul, MN, United States
| | - Nicola Pecchioni
- Centro di Ricerca Cerealicoltura e Colture Industriali, Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Foggia, Italy
- Dipartimento di Scienze della Vita, Università di Modena e Reggio Emilia, Reggio Emilia, Italy
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Kumar M, Kumar S, Sandhu KS, Kumar N, Saripalli G, Prakash R, Nambardar A, Sharma H, Gautam T, Balyan HS, Gupta PK. GWAS and genomic prediction for pre-harvest sprouting tolerance involving sprouting score and two other related traits in spring wheat. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2023; 43:14. [PMID: 37313293 PMCID: PMC10248620 DOI: 10.1007/s11032-023-01357-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 01/26/2023] [Indexed: 06/15/2023]
Abstract
In wheat, a genome-wide association study (GWAS) and genomic prediction (GP) analysis were conducted for pre-harvest sprouting (PHS) tolerance and two of its related traits. For this purpose, an association panel of 190 accessions was phenotyped for PHS (using sprouting score), falling number, and grain color over two years and genotyped with 9904 DArTseq based SNP markers. GWAS for main-effect quantitative trait nucleotides (M-QTNs) using three different models (CMLM, SUPER, and FarmCPU) and epistatic QTNs (E-QTNs) using PLINK were performed. A total of 171 M-QTNs (CMLM, 47; SUPER, 70; FarmCPU, 54) for all three traits, and 15 E-QTNs involved in 20 first-order epistatic interactions were identified. Some of the above QTNs overlapped the previously reported QTLs, MTAs, and cloned genes, allowing delineating 26 PHS-responsive genomic regions that spread over 16 wheat chromosomes. As many as 20 definitive and stable QTNs were considered important for use in marker-assisted recurrent selection (MARS). The gene, TaPHS1, for PHS tolerance (PHST) associated with one of the QTNs was also validated using the KASP assay. Some of the M-QTNs were shown to have a key role in the abscisic acid pathway involved in PHST. Genomic prediction accuracies (based on the cross-validation approach) using three different models ranged from 0.41 to 0.55, which are comparable to the results of previous studies. In summary, the results of the present study improved our understanding of the genetic architecture of PHST and its related traits in wheat and provided novel genomic resources for wheat breeding based on MARS and GP. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-023-01357-5.
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Affiliation(s)
- Manoj Kumar
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India
| | - Sachin Kumar
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India
| | | | - Neeraj Kumar
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC USA
| | - Gautam Saripalli
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, MD USA
| | - Ram Prakash
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India
| | - Akash Nambardar
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India
| | - Hemant Sharma
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India
| | - Tinku Gautam
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India
| | - Harindra Singh Balyan
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India
| | - Pushpendra Kumar Gupta
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India
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Negash T, Edae EA, Tilahun L, Anderson JA, Rouse MN, Bajgain P. Genome-wide association mapping for field and seedling resistance to the emerging Puccinia graminis f. sp. tritici race TTRTF in wheat. THE PLANT GENOME 2022; 15:e20274. [PMID: 36263894 DOI: 10.1002/tpg2.20274] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 09/14/2022] [Indexed: 06/16/2023]
Abstract
Stem rust of wheat (Triticum spp.), caused by Puccinia graminis f. sp. tritici (Pgt), is one of the most impactful wheat diseases because of its threat to global wheat production. While disease mitigation has primarily been achieved through the deployment of resistant wheat varieties, emerging new virulent races continue to pose risks to the crop. For example, races such as Ug99 (TTKSK), TKTTF, and TTRTF have caused epidemics in different wheat growing regions of the world in recent years. A continual search for new and effective sources of resistance is therefore necessary to safeguard wheat production. This study assessed a breeding panel from the Ethiopian Institute of Agricultural Research (EIAR) wheat breeding program for seedling and field plant resistance to TTRTF and reports genomic regions conferring resistance to TTRTF. Trait correlations (r) were medium to strong (range = .38-.71) and heritabilities were moderate (.32-.56). Association analysis for resistance to TTRTF resulted in detection of 20 markers in 11 chromosomes; the marker S1B_175439851 was associated with resistance at both seedling and adult plant stages. Models with two to four QTL combinations reduced seedling and field disease severity by 12-48 and 9-17%, respectively. Genomic prediction for TTRTF resistance resulted in low to moderately-high predictions (mean correlations of .25-.47). Identification of resistant lines and QTL in the EIAR population is expected to assist in selection toward improved resistance to TTRTF. Specifically, the application of genomic selection (GS) in identifying resistant lines in future related breeding populations will further assist breeding efforts against this new stem rust pathogen race.
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Affiliation(s)
- Tamrat Negash
- Ethiopian Institute of Agricultural Research, Kulumsa, Ethiopia
| | - Erena Aka Edae
- Dep. of Plant Pathology, Univ. of Minnesota, St. Paul, MN, USA
| | - Lidiya Tilahun
- Ethiopian Institute of Agricultural Research, Kulumsa, Ethiopia
| | - James A Anderson
- Dep. of Agronomy and Plant Genetics, Univ. of Minnesota, St. Paul, MN, USA
| | - Matthew N Rouse
- Dep. of Plant Pathology, Univ. of Minnesota, St. Paul, MN, USA
- USDA-ARS, Cereal Disease Laboratory, St. Paul, MN, 55108, USA
| | - Prabin Bajgain
- Dep. of Agronomy and Plant Genetics, Univ. of Minnesota, St. Paul, MN, USA
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Saini DK, Chopra Y, Singh J, Sandhu KS, Kumar A, Bazzer S, Srivastava P. Comprehensive evaluation of mapping complex traits in wheat using genome-wide association studies. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2022; 42:1. [PMID: 37309486 PMCID: PMC10248672 DOI: 10.1007/s11032-021-01272-7] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 12/10/2021] [Indexed: 06/14/2023]
Abstract
Genome-wide association studies (GWAS) are effectively applied to detect the marker trait associations (MTAs) using whole genome-wide variants for complex quantitative traits in different crop species. GWAS has been applied in wheat for different quality, biotic and abiotic stresses, and agronomic and yield-related traits. Predictions for marker-trait associations are controlled with the development of better statistical models taking population structure and familial relatedness into account. In this review, we have provided a detailed overview of the importance of association mapping, population design, high-throughput genotyping and phenotyping platforms, advancements in statistical models and multiple threshold comparisons, and recent GWA studies conducted in wheat. The information about MTAs utilized for gene characterization and adopted in breeding programs is also provided. In the literature that we surveyed, as many as 86,122 wheat lines have been studied under various GWA studies reporting 46,940 loci. However, further utilization of these is largely limited. The future breakthroughs in area of genomic selection, multi-omics-based approaches, machine, and deep learning models in wheat breeding after exploring the complex genetic structure with the GWAS are also discussed. This is a most comprehensive study of a large number of reports on wheat GWAS and gives a comparison and timeline of technological developments in this area. This will be useful to new researchers or groups who wish to invest in GWAS.
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Affiliation(s)
- Dinesh K. Saini
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141004 India
| | - Yuvraj Chopra
- College of Agriculture, Punjab Agricultural University, Ludhiana, 141004 India
| | - Jagmohan Singh
- Division of Plant Pathology, Indian Agricultural Research Institute, New Delhi, 110012 India
| | - Karansher S. Sandhu
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99163 USA
| | - Anand Kumar
- Department of Genetics and Plant Breeding, Chandra Shekhar Azad University of Agriculture and Technology, Kanpur, 202002 India
| | - Sumandeep Bazzer
- Division of Plant Sciences, University of Missouri, Columbia, MO 65211 USA
| | - Puja Srivastava
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141004 India
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Eltaher S, Mourad AMI, Baenziger PS, Wegulo S, Belamkar V, Sallam A. Identification and Validation of High LD Hotspot Genomic Regions Harboring Stem Rust Resistant Genes on 1B, 2A ( Sr38), and 7B Chromosomes in Wheat. Front Genet 2021; 12:749675. [PMID: 34659366 PMCID: PMC8517078 DOI: 10.3389/fgene.2021.749675] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 09/13/2021] [Indexed: 12/02/2022] Open
Abstract
Stem rust caused by Puccinia graminis f. sp. tritici Eriks. is an important disease of common wheat globally. The production and cultivation of genetically resistant cultivars are one of the most successful and environmentally friendly ways to protect wheat against fungal pathogens. Seedling screening and genome-wide association study (GWAS) were used to determine the genetic diversity of wheat genotypes obtained on stem rust resistance loci. At the seedling stage, the reaction of the common stem rust race QFCSC in Nebraska was measured in a set of 212 genotypes from F3:6 lines. The results indicated that 184 genotypes (86.8%) had different degrees of resistance to this common race. While 28 genotypes (13.2%) were susceptible to stem rust. A set of 11,911 single-nucleotide polymorphism (SNP) markers was used to perform GWAS which detected 84 significant marker-trait associations (MTAs) with SNPs located on chromosomes 1B, 2A, 2B, 7B and an unknown chromosome. Promising high linkage disequilibrium (LD) genomic regions were found in all chromosomes except 2B which suggested they include candidate genes controlling stem rust resistance. Highly significant LD was found among these 59 significant SNPs on chromosome 2A and 12 significant SNPs with an unknown chromosomal position. The LD analysis between SNPs located on 2A and Sr38 gene reveal high significant LD genomic regions which was previously reported. To select the most promising stem rust resistant genotypes, a new approach was suggested based on four criteria including, phenotypic selection, number of resistant allele(s), the genetic distance among the selected parents, and number of the different resistant allele(s) in the candidate crosses. As a result, 23 genotypes were considered as the most suitable parents for crossing to produce highly resistant stem rust genotypes against the QFCSC.
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Affiliation(s)
- Shamseldeen Eltaher
- Department of Plant Biotechnology, Genetic Engineering and Biotechnology Research Institute (GEBRI), University of Sadat City (USC), Sadat, Egypt
| | - Amira M I Mourad
- Department of Agronomy, Faculty of Agriculture, Assiut University, Assiut, Egypt
| | - P Stephen Baenziger
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Stephen Wegulo
- Department of Plant Pathology, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Vikas Belamkar
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Ahmed Sallam
- Department of Genetics, Faculty of Agriculture, Assiut University, Assiut, Egypt
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Javadi H, Dadkhodaie A, Heidari B. Molecular Marker Analysis of Stem Rust Resistance Genes in Some Iranian Wheat Genotypes. CYTOL GENET+ 2021. [DOI: 10.3103/s0095452721050029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Fabre F, Urbach S, Roche S, Langin T, Bonhomme L. Proteomics-Based Data Integration of Wheat Cultivars Facing Fusarium graminearum Strains Revealed a Core-Responsive Pattern Controlling Fusarium Head Blight. FRONTIERS IN PLANT SCIENCE 2021; 12:644810. [PMID: 34135919 PMCID: PMC8201412 DOI: 10.3389/fpls.2021.644810] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 04/07/2021] [Indexed: 05/03/2023]
Abstract
Fusarium head blight (FHB), mainly occurring upon Fusarium graminearum infection in a wide variety of small-grain cereals, is supposed to be controlled by a range of processes diverted by the fungal pathogen, the so-called susceptibility factors. As a mean to provide relevant information about the molecular events involved in FHB susceptibility in bread wheat, we studied an extensive proteome of more than 7,900 identified wheat proteins in three cultivars of contrasting susceptibilities during their interaction with three F. graminearum strains of different aggressiveness. No cultivar-specific proteins discriminated the three wheat genotypes, demonstrating the establishment of a core proteome regardless of unequivocal FHB susceptibility differences. Quantitative protein analysis revealed that most of the FHB-induced molecular adjustments were shared by wheat cultivars and occurred independently of the F. graminearum strain aggressiveness. Although subtle abundance changes evidenced genotype-dependent responses to FHB, cultivar distinction was found to be mainly due to basal abundance differences, especially regarding the chloroplast functions. Integrating these data with previous proteome mapping of the three F. graminearum strains facing the three same wheat cultivars, we demonstrated strong correlations between the wheat protein abundance changes and the adjustments of fungal proteins supposed to interfere with host molecular functions. Together, these results provide a resourceful dataset that expands our understanding of the specific molecular events taking place during the wheat-F. graminearum interaction.
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Affiliation(s)
- Francis Fabre
- Université Clermont Auvergne, INRAE, UMR 1095 Génétique Diversité Ecophysiologie des Céréales, Clermont-Ferrand, France
| | - Serge Urbach
- Institut de Génomique Fonctionnelle, Université de Montpellier, CNRS, INSERM, Montpellier, France
| | - Sylvie Roche
- INRAE, Unité Experimentale 1375, Phénotypage au Champ des Céréales (PHACC), Clermont-Ferrand, France
| | - Thierry Langin
- Université Clermont Auvergne, INRAE, UMR 1095 Génétique Diversité Ecophysiologie des Céréales, Clermont-Ferrand, France
| | - Ludovic Bonhomme
- Université Clermont Auvergne, INRAE, UMR 1095 Génétique Diversité Ecophysiologie des Céréales, Clermont-Ferrand, France
- *Correspondence: Ludovic Bonhomme,
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Joukhadar R, Hollaway G, Shi F, Kant S, Forrest K, Wong D, Petkowski J, Pasam R, Tibbits J, Bariana H, Bansal U, Spangenberg G, Daetwyler H, Gendall T, Hayden M. Genome-wide association reveals a complex architecture for rust resistance in 2300 worldwide bread wheat accessions screened under various Australian conditions. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:2695-2712. [PMID: 32504212 DOI: 10.1007/s00122-020-03626-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 05/25/2020] [Indexed: 05/13/2023]
Abstract
We utilized 2300 wheat accessions including worldwide landraces, cultivars and primary synthetic-derived germplasm with three Australian cultivars: Annuello, Yitpi and Correll, to investigate field-based resistance to leaf (Lr) rust, stem (Sr) rust and stripe (Yr) rust diseases across a range of Australian wheat agri-production zones. Generally, the resistance in the modern Australian cultivars, synthetic derivatives, South and North American materials outperformed other geographical subpopulations. Different environments for each trait showed significant correlations, with average r values of 0.53, 0.23 and 0.66 for Lr, Sr and Yr, respectively. Single-trait genome-wide association studies (GWAS) revealed several environment-specific and multi-environment quantitative trait loci (QTL). Multi-trait GWAS confirmed a cluster of Yr QTL on chromosome 3B within a 4.4-cM region. Linkage disequilibrium and comparative mapping showed that at least three Yr QTL exist within the 3B cluster including the durable rust resistance gene Yr30. An Sr/Lr QTL on chromosome 3D was found mainly in the synthetic-derived germplasm from Annuello background which is known to carry the Agropyron elongatum 3D translocation involving the Sr24/Lr24 resistance locus. Interestingly, estimating the SNP effects using a BayesR method showed that the correlation among the highest 1% of QTL effects across environments (excluding GWAS QTL) had significant correlations, with average r values of 0.26, 0.16 and 0.55 for Lr, Sr and Yr, respectively. These results indicate the importance of small effect QTL in achieving durable rust resistance which can be captured using genomic selection.
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Affiliation(s)
- Reem Joukhadar
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC, Australia.
- Department of Animal, Plant and Soil Sciences, La Trobe University, Bundoora, VIC, Australia.
| | - Grant Hollaway
- Agriculture Victoria, Natimuk Road, Horsham, VIC, 3401, Australia
| | - Fan Shi
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC, Australia
| | - Surya Kant
- Agriculture Victoria, Natimuk Road, Horsham, VIC, 3401, Australia
| | - Kerrie Forrest
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC, Australia
| | - Debbie Wong
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC, Australia
| | - Joanna Petkowski
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC, Australia
| | - Raj Pasam
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC, Australia
| | - Josquin Tibbits
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC, Australia
| | - Harbans Bariana
- Faculty of Agriculture and Environment, Plant Breeding Institute-Cobbitty, The University of Sydney, PMB4011, Narellan, NSW, 2567, Australia
| | - Urmil Bansal
- Faculty of Agriculture and Environment, Plant Breeding Institute-Cobbitty, The University of Sydney, PMB4011, Narellan, NSW, 2567, Australia
| | - German Spangenberg
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora, VIC, Australia
| | - Hans Daetwyler
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora, VIC, Australia
| | - Tony Gendall
- Department of Animal, Plant and Soil Sciences, La Trobe University, Bundoora, VIC, Australia
| | - Matthew Hayden
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora, VIC, Australia
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Leonova IN, Skolotneva ES, Orlova EA, Orlovskaya OA, Salina EA. Detection of Genomic Regions Associated with Resistance to Stem Rust in Russian Spring Wheat Varieties and Breeding Germplasm. Int J Mol Sci 2020; 21:E4706. [PMID: 32630293 PMCID: PMC7369787 DOI: 10.3390/ijms21134706] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 06/28/2020] [Accepted: 06/28/2020] [Indexed: 11/20/2022] Open
Abstract
Stem rust caused by Puccinia graminis f. sp. tritici Eriks. is a dangerous disease of common wheat worldwide. Development and cultivation of the varieties with genetic resistance is one of the most effective and environmentally important ways for protection of wheat against fungal pathogens. Field phytopathological screening and genome-wide association study (GWAS) were used for assessment of the genetic diversity of a collection of spring wheat genotypes on stem rust resistance loci. The collection consisting of Russian varieties of spring wheat and introgression lines with alien genetic materials was evaluated over three seasons (2016, 2017 and 2018) for resistance to the native population of stem rust specific to the West Siberian region of Russia. The results indicate that most varieties displayed from moderate to high levels of susceptibility to P. graminis; 16% of genotypes had resistance or immune response. In total, 13,006 single-nucleotide polymorphism (SNP) markers obtained from the Infinium 15K array were used to perform genome-wide association analysis. GWAS detected 35 significant marker-trait associations (MTAs) with SNPs located on chromosomes 1A, 2A, 2B, 3B, 5A, 5B, 6A, 7A and 7B. The most significant associations were found on chromosomes 7A and 6A where known resistance genes Sr25 and Sr6Ai = 2 originated from Thinopyrum ssp. are located. Common wheat lines containing introgressed fragments from Triticum timopheevii and Triticum kiharae were found to carry Sr36 gene on 2B chromosome. It has been suggested that the quantitative trait loci (QTL) mapped to the chromosome 5BL may be new loci inherited from the T. timopheevii. It can be inferred that a number of Russian wheat varieties may contain the Sr17 gene, which does not currently provide effective protection against pathogen. This is the first report describing the results of analysis of the genetic factors conferring resistance of Russian spring wheat varieties to stem rust.
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Affiliation(s)
- Irina N. Leonova
- The Federal Research Center Institute of Cytology and Genetics SB RAS, 630090 Novosibirsk, Russia; (E.S.S.); (E.A.O.); (E.A.S.)
| | - Ekaterina S. Skolotneva
- The Federal Research Center Institute of Cytology and Genetics SB RAS, 630090 Novosibirsk, Russia; (E.S.S.); (E.A.O.); (E.A.S.)
| | - Elena A. Orlova
- The Federal Research Center Institute of Cytology and Genetics SB RAS, 630090 Novosibirsk, Russia; (E.S.S.); (E.A.O.); (E.A.S.)
| | - Olga A. Orlovskaya
- Institute of Genetics and Cytology of the National Academy of Sciences of Belarus, 220072 Minsk, Belarus;
| | - Elena A. Salina
- The Federal Research Center Institute of Cytology and Genetics SB RAS, 630090 Novosibirsk, Russia; (E.S.S.); (E.A.O.); (E.A.S.)
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Manimekalai R, Suresh G, Govinda Kurup H, Athiappan S, Kandalam M. Role of NGS and SNP genotyping methods in sugarcane improvement programs. Crit Rev Biotechnol 2020; 40:865-880. [PMID: 32508157 DOI: 10.1080/07388551.2020.1765730] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Sugarcane (Saccharum spp.) is one of the most economically significant crops because of its high sucrose content and it is a promising biomass feedstock for biofuel production. Sugarcane genome sequencing and analysis is a difficult task due to its heterozygosity and polyploidy. Long sequence read technologies, PacBio Single-Molecule Real-Time (SMRT) sequencing, the Illumina TruSeq, and the Oxford Nanopore sequencing could solve the problem of genome assembly. On the applications side, next generation sequencing (NGS) technologies played a major role in the discovery of single nucleotide polymorphism (SNP) and the development of low to high throughput genotyping platforms. The two mainstream high throughput genotyping platforms are the SNP microarray and genotyping by sequencing (GBS). This paper reviews the NGS in sugarcane genomics, genotyping methodologies, and the choice of these methods. Array-based SNP genotyping is robust, provides consistent SNPs, and relatively easier downstream data analysis. The GBS method identifies large scale SNPs across the germplasm. A combination of targeted GBS and array-based genotyping methods should be used to increase the accuracy of genomic selection and marker-assisted breeding.
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Affiliation(s)
- Ramaswamy Manimekalai
- Crop Improvement Division, ICAR - Sugarcane Breeding Institute, Indian Council of Agricultural Research (ICAR), Coimbatore, Tamil Nadu, India
| | - Gayathri Suresh
- Crop Improvement Division, ICAR - Sugarcane Breeding Institute, Indian Council of Agricultural Research (ICAR), Coimbatore, Tamil Nadu, India
| | - Hemaprabha Govinda Kurup
- Crop Improvement Division, ICAR - Sugarcane Breeding Institute, Indian Council of Agricultural Research (ICAR), Coimbatore, Tamil Nadu, India
| | - Selvi Athiappan
- Crop Improvement Division, ICAR - Sugarcane Breeding Institute, Indian Council of Agricultural Research (ICAR), Coimbatore, Tamil Nadu, India
| | - Mallikarjuna Kandalam
- Business Development, Asia Pacific Japan region, Thermo Fisher Scientific, Waltham, MA, USA
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Grewal S, Hubbart‐Edwards S, Yang C, Devi U, Baker L, Heath J, Ashling S, Scholefield D, Howells C, Yarde J, Isaac P, King IP, King J. Rapid identification of homozygosity and site of wild relative introgressions in wheat through chromosome-specific KASP genotyping assays. PLANT BIOTECHNOLOGY JOURNAL 2020; 18:743-755. [PMID: 31465620 PMCID: PMC7004896 DOI: 10.1111/pbi.13241] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 08/17/2019] [Indexed: 05/23/2023]
Abstract
For future food security, it is important that wheat, one of the most widely consumed crops in the world, can survive the threat of abiotic and biotic stresses. New genetic variation is currently being introduced into wheat through introgressions from its wild relatives. For trait discovery, it is necessary that each introgression is homozygous and hence stable. Breeding programmes rely on efficient genotyping platforms for marker-assisted selection (MAS). Recently, single nucleotide polymorphism (SNP)-based markers have been made available on high-throughput Axiom® SNP genotyping arrays. However, these arrays are inflexible in their design and sample numbers, making their use unsuitable for long-term MAS. SNPs can potentially be converted into Kompetitive allele-specific PCR (KASP™) assays that are comparatively cost-effective and efficient for low-density genotyping of introgression lines. However, due to the polyploid nature of wheat, KASP assays for homoeologous SNPs can have difficulty in distinguishing between heterozygous and homozygous hybrid lines in a backcross population. To identify co-dominant SNPs, that can differentiate between heterozygotes and homozygotes, we PCR-amplified and sequenced genomic DNA from potential single-copy regions of the wheat genome and compared them to orthologous copies from different wild relatives. A panel of 620 chromosome-specific KASP assays have been developed that allow rapid detection of wild relative segments and provide information on their homozygosity and site of introgression in the wheat genome. A set of 90 chromosome-nonspecific assays was also produced that can be used for genotyping introgression lines. These multipurpose KASP assays represent a powerful tool for wheat breeders worldwide.
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Affiliation(s)
- Surbhi Grewal
- Nottingham BBSRC Wheat Research CentreSchool of BiosciencesUniversity of NottinghamLoughboroughLeicestershireUK
| | - Stella Hubbart‐Edwards
- Nottingham BBSRC Wheat Research CentreSchool of BiosciencesUniversity of NottinghamLoughboroughLeicestershireUK
| | - Caiyun Yang
- Nottingham BBSRC Wheat Research CentreSchool of BiosciencesUniversity of NottinghamLoughboroughLeicestershireUK
| | - Urmila Devi
- Nottingham BBSRC Wheat Research CentreSchool of BiosciencesUniversity of NottinghamLoughboroughLeicestershireUK
| | - Lauren Baker
- Nottingham BBSRC Wheat Research CentreSchool of BiosciencesUniversity of NottinghamLoughboroughLeicestershireUK
| | - Jack Heath
- Nottingham BBSRC Wheat Research CentreSchool of BiosciencesUniversity of NottinghamLoughboroughLeicestershireUK
| | - Stephen Ashling
- Nottingham BBSRC Wheat Research CentreSchool of BiosciencesUniversity of NottinghamLoughboroughLeicestershireUK
| | - Duncan Scholefield
- Nottingham BBSRC Wheat Research CentreSchool of BiosciencesUniversity of NottinghamLoughboroughLeicestershireUK
| | - Caroline Howells
- Nottingham BBSRC Wheat Research CentreSchool of BiosciencesUniversity of NottinghamLoughboroughLeicestershireUK
| | | | - Peter Isaac
- IDna Genetics Ltd.Norwich Research ParkNorwichUK
| | - Ian P. King
- Nottingham BBSRC Wheat Research CentreSchool of BiosciencesUniversity of NottinghamLoughboroughLeicestershireUK
| | - Julie King
- Nottingham BBSRC Wheat Research CentreSchool of BiosciencesUniversity of NottinghamLoughboroughLeicestershireUK
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Ahn E, Hu Z, Perumal R, Prom LK, Odvody G, Upadhyaya HD, Magill C. Genome wide association analysis of sorghum mini core lines regarding anthracnose, downy mildew, and head smut. PLoS One 2019; 14:e0216671. [PMID: 31086384 PMCID: PMC6516728 DOI: 10.1371/journal.pone.0216671] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Accepted: 04/26/2019] [Indexed: 02/04/2023] Open
Abstract
In previous studies, a sorghum mini core collection was scored over several years for response to Colletotrichum sublineola, Peronosclerospora sorghi, and Sporisorium reilianum, the causal agents of the disease anthracnose, downy mildew, and head smut, respectively. The screening results were combined with over 290,000 Single nucleotide polymorphic (SNP) loci from an updated version of a publicly available genotype by sequencing (GBS) dataset available for the mini core collection. GAPIT (Genome Association and Prediction Integrated Tool) R package was used to identify chromosomal locations that differ in disease response. When the top scoring SNPs were mapped to the most recent version of the published sorghum genome, in each case, a nearby and most often the closest annotated gene has precedence for a role in host defense.
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Affiliation(s)
- Ezekiel Ahn
- Department of Plant Pathology & Microbiology, Texas A&M University, College Station, Texas, United States of America
| | - Zhenbin Hu
- Department of Agronomy, Kansas State University, Manhattan, Kansas, United States of America
| | - Ramasamy Perumal
- Kansas State University, Agricultural Research Center, Hays, Kansas, United States of America
| | - Louis K. Prom
- USDA-ARS Southern Plains Agricultural Research Center, College Station, Texas, United States of America
| | - Gary Odvody
- Texas A&M AgriLife Research, Corpus Christi, Texas, United States of America
| | - Hari D. Upadhyaya
- ICRISAT, Patancheru, Telangana, India
- King Abdulaziz University, Jeddah, Saudi Arabia
| | - Clint Magill
- Department of Plant Pathology & Microbiology, Texas A&M University, College Station, Texas, United States of America
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Ishikawa G, Saito M, Tanaka T, Katayose Y, Kanamori H, Kurita K, Nakamura T. An efficient approach for the development of genome-specific markers in allohexaploid wheat (Triticum aestivum L.) and its application in the construction of high-density linkage maps of the D genome. DNA Res 2018; 25:4898127. [PMID: 29481583 PMCID: PMC6014326 DOI: 10.1093/dnares/dsy004] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Accepted: 02/16/2018] [Indexed: 12/20/2022] Open
Abstract
In common wheat, the development of genotyping platforms has been hampered by the large size of the genome, its highly repetitive elements and its allohexaploid nature. However, recent advances in sequencing technology provide opportunities to resolve these difficulties. Using next-generation sequencing and gene-targeting sequence capture, 12,551 nucleotide polymorphisms were detected in the common wheat varieties 'Hatsumochi' and 'Kitahonami' and were assigned to chromosome arms using International Wheat Genome Sequencing Consortium survey sequences. Because the number of markers for D genome chromosomes in commercially available wheat single nucleotide polymorphism arrays is insufficient, we developed markers using a genome-specific amplicon sequencing strategy. Approximately 80% of the designed primers successfully amplified D genome-specific products, suggesting that by concentrating on a specific subgenome, we were able to design successful markers as efficiently as could be done in a diploid species. The newly developed markers were uniformly distributed across the D genome and greatly extended the total coverage. Polymorphisms were surveyed in six varieties, and 31,542 polymorphic sites and 5,986 potential marker sites were detected in the D genome. The marker development and genotyping strategies are cost effective, robust and flexible and may enhance multi-sample studies in the post-genomic era in wheat.
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Affiliation(s)
- Goro Ishikawa
- Tohoku Agricultural Research Center, National Agriculture and Food Research Organization (NARO), Morioka, Iwate 020-0198, Japan
- Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki 305-8518, Japan
| | - Mika Saito
- Tohoku Agricultural Research Center, National Agriculture and Food Research Organization (NARO), Morioka, Iwate 020-0198, Japan
| | - Tsuyoshi Tanaka
- Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki 305-8518, Japan
| | - Yuichi Katayose
- Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki 305-8518, Japan
| | - Hiroyuki Kanamori
- Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki 305-8518, Japan
| | - Kanako Kurita
- Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki 305-8518, Japan
| | - Toshiki Nakamura
- Tohoku Agricultural Research Center, National Agriculture and Food Research Organization (NARO), Morioka, Iwate 020-0198, Japan
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