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Warkentin TD, Smýkal P, Xu P, McPhee K. Editorial: Advances in pea breeding and genomics. FRONTIERS IN PLANT SCIENCE 2024; 15:1430421. [PMID: 38887457 PMCID: PMC11180884 DOI: 10.3389/fpls.2024.1430421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Accepted: 05/13/2024] [Indexed: 06/20/2024]
Affiliation(s)
- Thomas D. Warkentin
- Crop Development Centre/Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK, Canada
| | - Petr Smýkal
- Department of Botany, Faculty of Sciences, Palacký University, Olomouc, Czechia
| | - Pei Xu
- Key Laboratory of Specialty Agri-Product Quality and Hazard Controlling Technology of Zhejiang, College of Life Sciences, China Jiliang University, Hangzhou, China
| | - Kevin McPhee
- Department of Plant Science and Plant Pathology, Montana State University, Bozeman, MT, United States
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Boutet G, Lavaud C, Lesné A, Miteul H, Pilet-Nayel ML, Andrivon D, Lejeune-Hénaut I, Baranger A. Five Regions of the Pea Genome Co-Control Partial Resistance to D. pinodes, Tolerance to Frost, and Some Architectural or Phenological Traits. Genes (Basel) 2023; 14:1399. [PMID: 37510304 PMCID: PMC10379203 DOI: 10.3390/genes14071399] [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: 03/01/2023] [Revised: 06/08/2023] [Accepted: 06/14/2023] [Indexed: 07/30/2023] Open
Abstract
Evidence for reciprocal links between plant responses to biotic or abiotic stresses and architectural and developmental traits has been raised using approaches based on epidemiology, physiology, or genetics. Winter pea has been selected for years for many agronomic traits contributing to yield, taking into account architectural or phenological traits such as height or flowering date. It remains nevertheless particularly susceptible to biotic and abiotic stresses, among which Didymella pinodes and frost are leading examples. The purpose of this study was to identify and resize QTL localizations that control partial resistance to D. pinodes, tolerance to frost, and architectural or phenological traits on pea dense genetic maps, considering how QTL colocalizations may impact future winter pea breeding. QTL analysis revealed five metaQTLs distributed over three linkage groups contributing to both D. pinodes disease severity and frost tolerance. At these loci, the haplotypes of alleles increasing both partial resistance to D. pinodes and frost tolerance also delayed the flowering date, increased the number of branches, and/or decreased the stipule length. These results question both the underlying mechanisms of the joint control of biotic stress resistance, abiotic stress tolerance, and plant architecture and phenology and the methods of marker-assisted selection optimizing stress control and productivity in winter pea breeding.
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Affiliation(s)
- Gilles Boutet
- IGEPP, INRAE, Institut Agro, Université de Rennes, 35653 Le Rheu, France
| | - Clément Lavaud
- IGEPP, INRAE, Institut Agro, Université de Rennes, 35653 Le Rheu, France
| | - Angélique Lesné
- IGEPP, INRAE, Institut Agro, Université de Rennes, 35653 Le Rheu, France
| | - Henri Miteul
- IGEPP, INRAE, Institut Agro, Université de Rennes, 35653 Le Rheu, France
| | | | - Didier Andrivon
- IGEPP, INRAE, Institut Agro, Université de Rennes, 35653 Le Rheu, France
| | - Isabelle Lejeune-Hénaut
- BioEcoAgro Joint Research Unit, INRAE, Université de Lille, Université de Liège, Université de Picardie Jules Verne, 80200 Estrées-Mons, France
| | - Alain Baranger
- IGEPP, INRAE, Institut Agro, Université de Rennes, 35653 Le Rheu, France
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Castro-Urrea FA, Urricariet MP, Stefanova KT, Li L, Moss WM, Guzzomi AL, Sass O, Siddique KHM, Cowling WA. Accuracy of Selection in Early Generations of Field Pea Breeding Increases by Exploiting the Information Contained in Correlated Traits. PLANTS (BASEL, SWITZERLAND) 2023; 12:1141. [PMID: 36903999 PMCID: PMC10005560 DOI: 10.3390/plants12051141] [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: 01/18/2023] [Revised: 02/21/2023] [Accepted: 02/27/2023] [Indexed: 06/18/2023]
Abstract
Accuracy of predicted breeding values (PBV) for low heritability traits may be increased in early generations by exploiting the information available in correlated traits. We compared the accuracy of PBV for 10 correlated traits with low to medium narrow-sense heritability (h2) in a genetically diverse field pea (Pisum sativum L.) population after univariate or multivariate linear mixed model (MLMM) analysis with pedigree information. In the contra-season, we crossed and selfed S1 parent plants, and in the main season we evaluated spaced plants of S0 cross progeny and S2+ (S2 or higher) self progeny of parent plants for the 10 traits. Stem strength traits included stem buckling (SB) (h2 = 0.05), compressed stem thickness (CST) (h2 = 0.12), internode length (IL) (h2 = 0.61) and angle of the main stem above horizontal at first flower (EAngle) (h2 = 0.46). Significant genetic correlations of the additive effects occurred between SB and CST (0.61), IL and EAngle (-0.90) and IL and CST (-0.36). The average accuracy of PBVs in S0 progeny increased from 0.799 to 0.841 and in S2+ progeny increased from 0.835 to 0.875 in univariate vs MLMM, respectively. An optimized mating design was constructed with optimal contribution selection based on an index of PBV for the 10 traits, and predicted genetic gain in the next cycle ranged from 1.4% (SB), 5.0% (CST), 10.5% (EAngle) and -10.5% (IL), with low achieved parental coancestry of 0.12. MLMM improved the potential genetic gain in annual cycles of early generation selection in field pea by increasing the accuracy of PBV.
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Affiliation(s)
- Felipe A. Castro-Urrea
- The UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6009, Australia
- School of Agriculture and Environment, The University of Western Australia, Perth, WA 6009, Australia
| | - Maria P. Urricariet
- School of Agriculture and Environment, The University of Western Australia, Perth, WA 6009, Australia
- General Genetics Unit, Pontificia Universidad Católica Argentina, Buenos Aires C1107AAZ, Argentina
| | - Katia T. Stefanova
- The UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6009, Australia
- SAGI West, School of Molecular and Life Sciences, Curtin University, Perth, WA 6845, Australia
| | - Li Li
- Animal Genetics and Breeding Unit, University of New England, Armidale, NSW 2351, Australia
| | - Wesley M. Moss
- Centre for Engineering Innovation: Agriculture & Ecological Restoration, The University of Western Australia, Shenton Park, WA 6008, Australia
- School of Engineering, The University of Western Australia, Perth, WA 6009, Australia
| | - Andrew L. Guzzomi
- The UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6009, Australia
- Centre for Engineering Innovation: Agriculture & Ecological Restoration, The University of Western Australia, Shenton Park, WA 6008, Australia
- School of Engineering, The University of Western Australia, Perth, WA 6009, Australia
| | - Olaf Sass
- Norddeutsche Pflanzenzucht Hans-Georg Lembke KG, Hohenlieth-Hof 1, 24363 Holtsee, Germany
| | - Kadambot H. M. Siddique
- The UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6009, Australia
- School of Agriculture and Environment, The University of Western Australia, Perth, WA 6009, Australia
| | - Wallace A. Cowling
- The UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6009, Australia
- School of Agriculture and Environment, The University of Western Australia, Perth, WA 6009, Australia
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Lee RC, Grime CR, O'Driscoll K, Khentry Y, Farfan-Caceres LM, Tahghighi H, Kamphuis LG. Field Pea ( Pisum sativum) Germplasm Screening for Seedling Ascochyta Blight Resistance and Genome-Wide Association Studies Reveal Loci Associated with Resistance to Peyronellaea pinodes and Ascochyta koolunga. PHYTOPATHOLOGY 2023; 113:265-276. [PMID: 35984372 DOI: 10.1094/phyto-02-22-0051-r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Ascochyta blight is a damaging disease that affects the stems, leaves, and pods of field pea (Pisum sativum) and impacts yield and grain quality. In Australia, field pea Ascochyta blight is primarily caused by the necrotrophic fungal species Peyronellaea pinodes and Ascochyta koolunga. In this study, we screened 1,276 Pisum spp. germplasm accessions in seedling disease assays with a mix of three isolates of P. pinodes and 641 accessions with three mixed isolates of A. koolunga (513 accessions were screened with both species). A selection of three P. sativum accessions with low disease scores for either pathogen, or in some cases both, were crossed with Australian field pea varieties PBA Gunyah and PBA Oura, and recombinant inbred line populations were made. Populations at the F3:4 and F4:5 generation were phenotyped for their disease response to P. pinodes and A. koolunga, and genotypes were determined using the diversity arrays technology genotyping method. Marker-trait associations were identified using a genome-wide association study approach. Trait-associated loci were mapped to the published P. sativum genome assembly, and candidate resistance gene analogues were identified in the corresponding genomic regions. One locus on chromosome 2 (LG1) was associated with resistance to P. pinodes, and the 8 Mb genomic region contains 156 genes, two of which are serine/threonine protein kinases, putatively contributing to the resistance trait. A second locus on chromosome 5 (LG3) was associated with resistance to A. koolunga, and the 35 Mb region contains 488 genes, of which five are potential candidate resistance genes, including protein kinases, a mitogen-activated protein kinase, and an ethylene-responsive protein kinase homolog.
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Affiliation(s)
- Robert C Lee
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, 6102 Australia
| | - Christina R Grime
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, 6102 Australia
| | - Kane O'Driscoll
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, 6102 Australia
| | - Yuphin Khentry
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, 6102 Australia
| | - Lina M Farfan-Caceres
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, 6102 Australia
| | - Hediyeh Tahghighi
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, 6102 Australia
| | - Lars G Kamphuis
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, 6102 Australia
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Devi J, Sagar V, Mishra GP, Jha PK, Gupta N, Dubey RK, Singh PM, Behera TK, Prasad PVV. Heat stress tolerance in peas ( Pisum sativum L.): Current status and way forward. FRONTIERS IN PLANT SCIENCE 2023; 13:1108276. [PMID: 36733601 PMCID: PMC9887200 DOI: 10.3389/fpls.2022.1108276] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 12/28/2022] [Indexed: 06/18/2023]
Abstract
In the era of climate change, the overall productivity of pea (Pisum sativum L.) is being threatened by several abiotic stresses including heat stress (HS). HS causes severe yield losses by adversely affecting several traits in peas. A reduction in pod yield has been reported from 11.1% to 17.5% when mean daily temperature increase from 1.4 to 2.2°C. High-temperature stress (30.5-33°C) especially during reproductive phase is known to drastically reduce both seed yield and germination. HS during germination and early vegetative stage resulted in poor emergence and stunted plant growth along with detrimental effects on physiological functions of the pea plant. To combat HS and continue its life cycle, plants use various defense strategies including heat escape, avoidance or tolerance mechanisms. Ironically, the threshold temperatures for pea plant and its responses are inconsistent and not yet clearly identified. Trait discovery through traditional breeding such as semi leaflessness (afila), upright growing habit, lodging tolerance, lower canopy temperature and small seeded nature has highlighted their utility for greater adaptation under HS in pea. Screening of crop gene pool and landraces for HS tolerance in a targeted environment is a simple approach to identify HS tolerant genotypes. Thus, precise phenotyping using modern phenomics tools could lead to increased breeding efficiency. The NGS (next generation sequencing) data can be associated to find the candidate genes responsible for the HS tolerance in pea. In addition, genomic selection, genome wide association studies (GWAS) and marker assisted selection (MAS) can be used for the development of HS tolerant pea genotypes. Additionally, development of transgenics could be an alternative strategy for the development of HS tolerant pea genotypes. This review comprehensively covers the various aspects of HS tolerance mechanisms in the pea plant, screening protocols, omic advances, and future challenges for the development of HS tolerant genotypes.
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Affiliation(s)
- Jyoti Devi
- Indian Council of Agricultural Research-Indian Institute of Vegetable Research, Jakhini, Varanasi, India
| | - Vidya Sagar
- Indian Council of Agricultural Research-Indian Institute of Vegetable Research, Jakhini, Varanasi, India
| | - Gyan P. Mishra
- Indian Council of Agricultural Research-Indian Agricultural Research Institute, Pusa, New Delhi, India
| | - Prakash Kumar Jha
- Feed the Future Innovation Lab for Collaborative Research on Sustainable Intensification, Kansas State University, Manhattan, KS, United States
| | - Nakul Gupta
- Indian Council of Agricultural Research-Indian Institute of Vegetable Research, Jakhini, Varanasi, India
| | - Rakesh K. Dubey
- Indian Council of Agricultural Research-Indian Institute of Vegetable Research, Jakhini, Varanasi, India
| | - Prabhakar M. Singh
- Indian Council of Agricultural Research-Indian Institute of Vegetable Research, Jakhini, Varanasi, India
| | - Tusar K. Behera
- Indian Council of Agricultural Research-Indian Institute of Vegetable Research, Jakhini, Varanasi, India
| | - P. V. Vara Prasad
- Feed the Future Innovation Lab for Collaborative Research on Sustainable Intensification, Kansas State University, Manhattan, KS, United States
- Department of Agronomy, Kansas State University, Manhattan, KS, United States
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Fondevilla S, Krezdorn N, Rubiales D, Rotter B, Winter P. Bulked segregant transcriptome analysis in pea identifies key expression markers for resistance to Peyronellaea pinodes. Sci Rep 2022; 12:18159. [PMID: 36307494 PMCID: PMC9616913 DOI: 10.1038/s41598-022-22621-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 10/17/2022] [Indexed: 12/31/2022] Open
Abstract
Peyronellaea pinodes is a devastating pathogen of pea crop. Quantitative trait loci (QTL) associated with resistance have been identified, as well as genes differentially expressed between resistant and susceptible pea lines. The key question is which of these many genes located into these QTLs, or differentially expressed, are the key genes that distinguish resistant from susceptible plants and could be used as markers. To identify these key genes, in the present study we applied MACE (Massive Analysis of cDNA Ends) -Seq to a whole Recombinant Inbred Line population segregating for resistance to this disease and their parental lines and identified those genes which expression was more correlated with the level of resistance. We also compared gene expression profiles between the most resistant and the most susceptible families of the RIL population. A total of 6780 transcripts were differentially expressed between the parental lines after inoculation. Of them, 803 showed the same expression pattern in the bulks formed by the most resistant and most susceptible RIL families. These genes, showing a consistent expression pattern, could be used as expression markers to distinguish resistant from susceptible plants. The analysis of these genes also discovered the crucial mechanisms acting against P. pinodes.
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Affiliation(s)
- Sara Fondevilla
- Institute for Sustainable Agriculture, CSIC, 14004, Córdoba, Spain.
| | | | - Diego Rubiales
- Institute for Sustainable Agriculture, CSIC, 14004, Córdoba, Spain
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Martins LB, Balint-Kurti P, Reberg-Horton SC. Genome-wide association study for morphological traits and resistance to Peryonella pinodes in the USDA pea single plant plus collection. G3 (BETHESDA, MD.) 2022; 12:jkac168. [PMID: 35792880 PMCID: PMC9434253 DOI: 10.1093/g3journal/jkac168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 06/28/2022] [Indexed: 11/30/2022]
Abstract
Peas (Pisum sativum) are the second most cultivated pulse crop in the world. They can serve as human food, fodder, and cover crop. The most serious foliar disease of pea cultivars worldwide is Ascochyta blight, which can be caused by several pathogens. Of these, Peyronella pinodes is the most aggressive and prevalent worldwide. Several traits, including resistance to Peyronella pinodes, stem diameter, internode length between nodes 2-3 and 5-6, and area of 7th leaf, were measured in 269 entries of the pea single plant plus collection. The heritability (H2) of the morphological traits was relatively high, while disease resistance had low heritability. Using 53,196 single-nucleotide polymorphism markers to perform a genome-wide association study to identify genomic loci associated with variation in all the traits measured, we identified 27 trait-locus associations, 5 of which were associated with more than 1 trait.
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Affiliation(s)
- Lais B Martins
- Department of Crop and Soil Sciences, NC State University, Raleigh, NC 27607, USA
| | - Peter Balint-Kurti
- Department of Entomology and Plant Pathology, NC State University, Raleigh, NC 27607, USA
- Plant Science Research Unit USDA-ARS, NC State University, Raleigh, NC 27695, USA
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Parihar AK, Kumar J, Gupta DS, Lamichaney A, Naik SJ S, Singh AK, Dixit GP, Gupta S, Toklu F. Genomics Enabled Breeding Strategies for Major Biotic Stresses in Pea ( Pisum sativum L.). FRONTIERS IN PLANT SCIENCE 2022; 13:861191. [PMID: 35665148 PMCID: PMC9158573 DOI: 10.3389/fpls.2022.861191] [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: 01/24/2022] [Accepted: 03/28/2022] [Indexed: 06/15/2023]
Abstract
Pea (Pisum sativum L.) is one of the most important and productive cool season pulse crops grown throughout the world. Biotic stresses are the crucial constraints in harnessing the potential productivity of pea and warrant dedicated research and developmental efforts to utilize omics resources and advanced breeding techniques to assist rapid and timely development of high-yielding multiple stress-tolerant-resistant varieties. Recently, the pea researcher's community has made notable achievements in conventional and molecular breeding to accelerate its genetic gain. Several quantitative trait loci (QTLs) or markers associated with genes controlling resistance for fusarium wilt, fusarium root rot, powdery mildew, ascochyta blight, rust, common root rot, broomrape, pea enation, and pea seed borne mosaic virus are available for the marker-assisted breeding. The advanced genomic tools such as the availability of comprehensive genetic maps and linked reliable DNA markers hold great promise toward the introgression of resistance genes from different sources to speed up the genetic gain in pea. This review provides a brief account of the achievements made in the recent past regarding genetic and genomic resources' development, inheritance of genes controlling various biotic stress responses and genes controlling pathogenesis in disease causing organisms, genes/QTLs mapping, and transcriptomic and proteomic advances. Moreover, the emerging new breeding approaches such as transgenics, genome editing, genomic selection, epigenetic breeding, and speed breeding hold great promise to transform pea breeding. Overall, the judicious amalgamation of conventional and modern omics-enabled breeding strategies will augment the genetic gain and could hasten the development of biotic stress-resistant cultivars to sustain pea production under changing climate. The present review encompasses at one platform the research accomplishment made so far in pea improvement with respect to major biotic stresses and the way forward to enhance pea productivity through advanced genomic tools and technologies.
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Affiliation(s)
- Ashok Kumar Parihar
- Crop Improvement Division, ICAR-Indian Institute of Pulses Research (ICAR-IIPR), Kanpur, India
| | - Jitendra Kumar
- Crop Improvement Division, ICAR-Indian Institute of Pulses Research (ICAR-IIPR), Kanpur, India
| | - Debjyoti Sen Gupta
- Crop Improvement Division, ICAR-Indian Institute of Pulses Research (ICAR-IIPR), Kanpur, India
| | - Amrit Lamichaney
- Crop Improvement Division, ICAR-Indian Institute of Pulses Research (ICAR-IIPR), Kanpur, India
| | - Satheesh Naik SJ
- Crop Improvement Division, ICAR-Indian Institute of Pulses Research (ICAR-IIPR), Kanpur, India
| | - Anil K. Singh
- Crop Improvement Division, ICAR-Indian Institute of Pulses Research (ICAR-IIPR), Kanpur, India
| | - Girish P. Dixit
- All India Coordinated Research Project on Chickpea, ICAR-IIPR, Kanpur, India
| | - Sanjeev Gupta
- Indian Council of Agricultural Research, New Delhi, India
| | - Faruk Toklu
- Department of Field Crops, Faculty of Agricultural, Cukurova University, Adana, Turkey
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Jha UC, Sharma KD, Nayyar H, Parida SK, Siddique KHM. Breeding and Genomics Interventions for Developing Ascochyta Blight Resistant Grain Legumes. Int J Mol Sci 2022; 23:ijms23042217. [PMID: 35216334 PMCID: PMC8880496 DOI: 10.3390/ijms23042217] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 02/11/2022] [Accepted: 02/14/2022] [Indexed: 12/04/2022] Open
Abstract
Grain legumes are a key food source for ensuring global food security and sustaining agriculture. However, grain legume production is challenged by growing disease incidence due to global climate change. Ascochyta blight (AB) is a major disease, causing substantial yield losses in grain legumes worldwide. Harnessing the untapped reserve of global grain legume germplasm, landraces, and crop wild relatives (CWRs) could help minimize yield losses caused by AB infection in grain legumes. Several genetic determinants controlling AB resistance in various grain legumes have been identified following classical genetic and conventional breeding approaches. However, the advent of molecular markers, biparental quantitative trait loci (QTL) mapping, genome-wide association studies, genomic resources developed from various genome sequence assemblies, and whole-genome resequencing of global germplasm has revealed AB-resistant gene(s)/QTL/genomic regions/haplotypes on various linkage groups. These genomics resources allow plant breeders to embrace genomics-assisted selection for developing/transferring AB-resistant genomic regions to elite cultivars with great precision. Likewise, advances in functional genomics, especially transcriptomics and proteomics, have assisted in discovering possible candidate gene(s) and proteins and the underlying molecular mechanisms of AB resistance in various grain legumes. We discuss how emerging cutting-edge next-generation breeding tools, such as rapid generation advancement, field-based high-throughput phenotyping tools, genomic selection, and CRISPR/Cas9, could be used for fast-tracking AB-resistant grain legumes to meet the increasing demand for grain legume-based protein diets and thus ensuring global food security.
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Affiliation(s)
- Uday C. Jha
- Indian Institute of Pulses Research, Kanpur 208024, India
- Correspondence: (U.C.J.); (K.H.M.S.)
| | - Kamal Dev Sharma
- Department of Agricultural Biotechnology, CSK Himachal Pradesh Agricultural University, Palampur 176062, India;
| | - Harsh Nayyar
- Department of Botany, Panjab University, Chandigarh 0172, India;
| | - Swarup K. Parida
- National Institute of Plant Genome Research (NIPGR), New Delhi 110001, India;
| | - Kadambot H. M. Siddique
- The UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6001, Australia
- Correspondence: (U.C.J.); (K.H.M.S.)
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Pandey AK, Rubiales D, Wang Y, Fang P, Sun T, Liu N, Xu P. Omics resources and omics-enabled approaches for achieving high productivity and improved quality in pea (Pisum sativum L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:755-776. [PMID: 33433637 DOI: 10.1007/s00122-020-03751-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 12/10/2020] [Indexed: 05/09/2023]
Abstract
Pea (Pisum sativum L.), a cool-season legume crop grown in more than 85 countries, is the second most important grain legume and one of the major green vegetables in the world. While pea was historically studied as the genetic model leading to the discovery of the laws of genetics, pea research has lagged behind that of other major legumes in the genomics era, due to its large and complex genome. The evolving climate change and growing population have posed grand challenges to the objective of feeding the world, making it essential to invest research efforts to develop multi-omics resources and advanced breeding tools to support fast and continuous development of improved pea varieties. Recently, the pea researchers have achieved key milestones in omics and molecular breeding. The present review provides an overview of the recent important progress including the development of genetic resource databases, high-throughput genotyping assays, reference genome, genes/QTLs responsible for important traits, transcriptomic, proteomic, and phenomic atlases of various tissues under different conditions. These multi-faceted resources have enabled the successful implementation of various markers for monitoring early-generation populations as in marker-assisted backcrossing breeding programs. The emerging new breeding approaches such as CRISPR, speed breeding, and genomic selection are starting to change the paradigm of pea breeding. Collectively, the rich omics resources and omics-enable breeding approaches will enhance genetic gain in pea breeding and accelerate the release of novel pea varieties to meet the elevating demands on productivity and quality.
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Affiliation(s)
- Arun K Pandey
- College of Life Sciences, China Jiliang University, Hangzhou, 310018, China
| | - Diego Rubiales
- Institute for Sustainable Agriculture, CSIC, 14004, Córdoba, Spain
| | - Yonggang Wang
- College of Life Sciences, China Jiliang University, Hangzhou, 310018, China
| | - Pingping Fang
- College of Life Sciences, China Jiliang University, Hangzhou, 310018, China
| | - Ting Sun
- College of Life Sciences, China Jiliang University, Hangzhou, 310018, China
| | - Na Liu
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Pei Xu
- College of Life Sciences, China Jiliang University, Hangzhou, 310018, China.
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Jha AB, Warkentin TD. Biofortification of Pulse Crops: Status and Future Perspectives. PLANTS (BASEL, SWITZERLAND) 2020; 9:E73. [PMID: 31935879 PMCID: PMC7020478 DOI: 10.3390/plants9010073] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 01/02/2020] [Accepted: 01/02/2020] [Indexed: 01/08/2023]
Abstract
Biofortification through plant breeding is a sustainable approach to improve the nutritional profile of food crops. The majority of the world's population depends on staple food crops; however, most are low in key micronutrients. Biofortification to improve the nutritional profile of pulse crops has increased importance in many breeding programs in the past decade. The key micronutrients targeted have been iron, zinc, selenium, iodine, carotenoids, and folates. In recent years, several biofortified pulse crops including common beans and lentils have been released by HarvestPlus with global partners in developing countries, which has helped in overcoming micronutrient deficiency in the target population. This review will focus on recent research advances and future strategies for the biofortification of pulse crops.
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Affiliation(s)
| | - Thomas D. Warkentin
- Crop Development Centre/Department of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada;
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Kankanala P, Nandety RS, Mysore KS. Genomics of Plant Disease Resistance in Legumes. FRONTIERS IN PLANT SCIENCE 2019; 10:1345. [PMID: 31749817 PMCID: PMC6842968 DOI: 10.3389/fpls.2019.01345] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 09/27/2019] [Indexed: 05/15/2023]
Abstract
The constant interactions between plants and pathogens in the environment and the resulting outcomes are of significant importance for agriculture and agricultural scientists. Disease resistance genes in plant cultivars can break down in the field due to the evolution of pathogens under high selection pressure. Thus, the protection of crop plants against pathogens is a continuous arms race. Like any other type of crop plant, legumes are susceptible to many pathogens. The dawn of the genomic era, in which high-throughput and cost-effective genomic tools have become available, has revolutionized our understanding of the complex interactions between legumes and pathogens. Genomic tools have enabled a global view of transcriptome changes during these interactions, from which several key players in both the resistant and susceptible interactions have been identified. This review summarizes some of the large-scale genomic studies that have clarified the host transcriptional changes during interactions between legumes and their plant pathogens while highlighting some of the molecular breeding tools that are available to introgress the traits into breeding programs. These studies provide valuable insights into the molecular basis of different levels of host defenses in resistant and susceptible interactions.
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Zheng Y, Xu F, Li Q, Wang G, Liu N, Gong Y, Li L, Chen ZH, Xu S. QTL Mapping Combined With Bulked Segregant Analysis Identify SNP Markers Linked to Leaf Shape Traits in Pisum sativum Using SLAF Sequencing. Front Genet 2018; 9:615. [PMID: 30568674 PMCID: PMC6290080 DOI: 10.3389/fgene.2018.00615] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2018] [Accepted: 11/23/2018] [Indexed: 12/04/2022] Open
Abstract
Leaf shape is an important trait that influences the utilization rate of light, and affects quality and yield of pea (Pisum sativum). In the present study, a joint method of high-density genetic mapping using specific locus amplified fragment sequencing (SLAF-seq) and bulked segregant analysis (BSA) was applied to rapidly detect loci with leaf shape traits. A total of 7,146 polymorphic SLAFs containing 12,213 SNP markers were employed to construct a high-density genetic map for pea. We conducted quantitative trait locus (QTL) mapping on an F2 population to identify QTLs associated with leaf shape traits. Moreover, SLAF-BSA was conducted on the same F2 population to identify the single nucleotide polymorphism (SNP) markers linked to leaf shape in pea. Two QTLs (qLeaf_or-1, qLeaf_or-2) were mapped on linkage group 7 (LG7) for pea leaf shape. Through alignment of SLAF markers with Cicer arietinum, Medicago truncatula, and Glycine max, the pea LGs were assigned to their corresponding homologous chromosomal groups. The comparative genetic analysis showed that pea is more closely related to M. truncatula. Based on the sequencing results of two pools with different leaf shape, 179 associated markers were obtained after association analysis. The joint analysis of SLAF-seq and BSA showed that the QTLs obtained from mapping on a high-density genetic map are convincing due to the closely associated map region with the BSA results, which provided more potential markers related to leaf shape. Thus, the identified QTLs could be used in marker-assisted selection for pea breeding in the future. Our study revealed that joint analysis of QTL mapping on a high-density genetic map and BSA-seq is a cost-effective and accurate method to reveal genetic architecture of target traits in plant species without a reference genome.
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Affiliation(s)
- Yuanting Zheng
- Central Laboratory of Zhejiang Academy of Agricultural Sciences, Hangzhou, China
- College of Agriculture & Biotechnology, Zhejiang University, Hangzhou, China
| | - Fei Xu
- Central Laboratory of Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Qikai Li
- College of Agriculture & Biotechnology, Zhejiang University, Hangzhou, China
| | - Gangjun Wang
- Central Laboratory of Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Na Liu
- Central Laboratory of Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Yaming Gong
- Central Laboratory of Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Lulu Li
- College of Agriculture & Biotechnology, Zhejiang University, Hangzhou, China
| | - Zhong-Hua Chen
- School of Science and Health, Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia
| | - Shengchun Xu
- Central Laboratory of Zhejiang Academy of Agricultural Sciences, Hangzhou, China
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Gali KK, Liu Y, Sindhu A, Diapari M, Shunmugam ASK, Arganosa G, Daba K, Caron C, Lachagari RVB, Tar’an B, Warkentin TD. Construction of high-density linkage maps for mapping quantitative trait loci for multiple traits in field pea (Pisum sativum L.). BMC PLANT BIOLOGY 2018; 18:172. [PMID: 30115030 PMCID: PMC6097431 DOI: 10.1186/s12870-018-1368-4] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2018] [Accepted: 07/20/2018] [Indexed: 05/11/2023]
Abstract
BACKGROUND The objective of this research was to map quantitative trait loci (QTLs) of multiple traits of breeding importance in pea (Pisum sativum L.). Three recombinant inbred line (RIL) populations, PR-02 (Orb x CDC Striker), PR-07 (Carerra x CDC Striker) and PR-15 (1-2347-144 x CDC Meadow) were phenotyped for agronomic and seed quality traits under field conditions over multiple environments in Saskatchewan, Canada. The mapping populations were genotyped using genotyping-by-sequencing (GBS) method for simultaneous single nucleotide polymorphism (SNP) discovery and construction of high-density linkage maps. RESULTS After filtering for read depth, segregation distortion, and missing values, 2234, 3389 and 3541 single nucleotide polymorphism (SNP) markers identified by GBS in PR-02, PR-07 and PR-15, respectively, were used for construction of genetic linkage maps. Genetic linkage groups were assigned by anchoring to SNP markers previously positioned on these linkage maps. PR-02, PR-07 and PR-15 genetic maps represented 527, 675 and 609 non-redundant loci, and cover map distances of 951.9, 1008.8 and 914.2 cM, respectively. Based on phenotyping of the three mapping populations in multiple environments, 375 QTLs were identified for important traits including days to flowering, days to maturity, lodging resistance, Mycosphaerella blight resistance, seed weight, grain yield, acid and neutral detergent fiber concentration, seed starch concentration, seed shape, seed dimpling, and concentration of seed iron, selenium and zinc. Of all the QTLs identified, the most significant in terms of explained percentage of maximum phenotypic variance (PVmax) and occurrence in multiple environments were the QTLs for days to flowering (PVmax = 47.9%), plant height (PVmax = 65.1%), lodging resistance (PVmax = 35.3%), grain yield (PVmax = 54.2%), seed iron concentration (PVmax = 27.4%), and seed zinc concentration (PVmax = 43.2%). CONCLUSION We have identified highly significant and reproducible QTLs for several agronomic and seed quality traits of breeding importance in pea. The QTLs identified will be the basis for fine mapping candidate genes, while some of the markers linked to the highly significant QTLs are useful for immediate breeding applications.
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Affiliation(s)
- Krishna K. Gali
- Crop Development Centre, Department of Plant Sciences, 51 Campus Drive, University of Saskatchewan, Saskatoon, SK Canada
| | - Yong Liu
- Crop Development Centre, Department of Plant Sciences, 51 Campus Drive, University of Saskatchewan, Saskatoon, SK Canada
| | - Anoop Sindhu
- CHS, Inc, 220 Clement Ave., Grandin, ND 58038 USA
| | - Marwan Diapari
- Agriculture and Agri-Food Canada, London Research and Development centre, 1391 Sandford Street, London, ON N5V 4T3 Canada
| | - Arun S. K. Shunmugam
- National Research Council Canada, 110 Gymnasium Place, Saskatoon, SK S7N 0W9 Canada
| | - Gene Arganosa
- Crop Development Centre, Department of Plant Sciences, 51 Campus Drive, University of Saskatchewan, Saskatoon, SK Canada
| | - Ketema Daba
- Crop Development Centre, Department of Plant Sciences, 51 Campus Drive, University of Saskatchewan, Saskatoon, SK Canada
| | - Carolyn Caron
- Crop Development Centre, Department of Plant Sciences, 51 Campus Drive, University of Saskatchewan, Saskatoon, SK Canada
| | - Reddy V. B. Lachagari
- AgriGenome Labs Pvt Ltd., BTIC, MN iHub, Genome Valley, Shamirpet, Hyderabad, 500 078 India
| | - Bunyamin Tar’an
- Crop Development Centre, Department of Plant Sciences, 51 Campus Drive, University of Saskatchewan, Saskatoon, SK Canada
| | - Thomas D. Warkentin
- Crop Development Centre, Department of Plant Sciences, 51 Campus Drive, University of Saskatchewan, Saskatoon, SK Canada
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Rodda MS, Davidson J, Javid M, Sudheesh S, Blake S, Forster JW, Kaur S. Molecular Breeding for Ascochyta Blight Resistance in Lentil: Current Progress and Future Directions. FRONTIERS IN PLANT SCIENCE 2017; 8:1136. [PMID: 28706526 PMCID: PMC5489742 DOI: 10.3389/fpls.2017.01136] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Accepted: 06/13/2017] [Indexed: 05/24/2023]
Abstract
Lentil (Lens culinaris Medik.) is a diploid (2n = 2x = 14), self-pollinating, cool-season, grain legume that is cultivated worldwide and is highly valuable due to its high protein content. However, lentil production is constrained by many factors including biotic stresses, majority of which are fungal diseases such as ascochyta blight (AB), fusarium wilt, rust, stemphylium blight, anthracnose, and botrytis gray mold. Among various diseases, AB is a major -problem in many lentil-producing countries and can significantly reduce crop production. Breeding for AB resistance has been a priority for breeding programs across the globe and consequently, a number of resistance sources have been identified and extensively exploited. In order to increase the efficiency of combining genes from different genetic backgrounds, molecular genetic tools can be integrated with conventional breeding methods. A range of genetic linkage maps have been generated based on DNA-based markers, and quantitative trait loci (QTLs) for AB resistance have been identified. Molecular markers linked to these QTLs may potentially be used for efficient pyramiding of the AB disease resistance genes. Significant genomic resources have been established to identify and characterize resistance genes, including an integrated genetic map, expressed sequence tag libraries, gene based markers, and draft genome sequences. These resources are already being utilized for lentil crop improvement, to more effectively select for disease resistance, as a case study of the Australian breeding program will show. The combination of genomic resources, effective molecular genetic tools and high resolution phenotyping tools will improve the efficiency of selection for ascochyta blight resistance and accelerate varietal development of global lentil breeding programs.
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Affiliation(s)
- Matthew S. Rodda
- Agriculture Victoria, Grains Innovation ParkHorsham, VIC, Australia
| | - Jennifer Davidson
- Pulse and Oilseed Pathology, Plant Health and Biosecurity, Sustainable Systems, South Australian Research and Development Institute, UrrbraeAdelaide, SA, Australia
| | - Muhammad Javid
- Agriculture Victoria, Grains Innovation ParkHorsham, VIC, Australia
| | - Shimna Sudheesh
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, La Trobe UniversityBundoora, VIC, Australia
| | - Sara Blake
- Pulse and Oilseed Pathology, Plant Health and Biosecurity, Sustainable Systems, South Australian Research and Development Institute, UrrbraeAdelaide, SA, Australia
| | - John W. Forster
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, La Trobe UniversityBundoora, VIC, Australia
- School of Applied Systems Biology, La Trobe UniversityBundoora, VIC, Australia
| | - Sukhjiwan Kaur
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, La Trobe UniversityBundoora, VIC, Australia
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