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McCarville MT, Williams J, Daum J. Development and Validation of a Resistance Management Model for the Soybean Cyst Nematode, Heterodera glycines. PLANT DISEASE 2024; 108:1188-1201. [PMID: 37849285 DOI: 10.1094/pdis-06-23-1092-re] [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: 10/19/2023]
Abstract
Plant-parasitic nematodes are a key yield-limiting pest of crops around the world. Deployment of plant resistance genes are an important management tactic for many economically important plant-parasitic nematodes. The selection for virulence in nematode populations is a major threat to the effectiveness of resistance gene-based management. Little research has gone into resistance management modelling despite the importance of both plant-parasitic nematodes and resistance genes for their management. In this paper, we report on a cyst nematode resistance management model created to explore the factors which are most important for determining the durability of resistance genes to this important family of plant-parasitic nematodes. The relative dominance of virulence expression, the level of inbreeding, and the number of generations per cropping season were the most important factors in predicting resistance gene durability. Aspects of cyst nematode biology that reduce the number of generations per season for a portion of the population had a much smaller effect on the durability of resistance genes. These factors included delayed hatching within a season and early dormancy. The accuracy and utility of the model was tested using the soybean cyst nematode (SCN) rhg1-mediated resistance system. The model accurately predicted the rate at which virulence to the rhg1b resistance gene developed in Iowa over a two-decade period. The model suggested resistance gene pyramids as the most durable management solution for SCN with multiple possible avenues to obtain acceptable efficacy and durability.
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Lartey I, Kravchenko A, Bonito G, Melakeberhan H. Parasitic variability of Meloidogyne hapla relative to soil groups and soil health conditions. NEMATOLOGY 2022. [DOI: 10.1163/15685411-bja10185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Summary
Parasitic variability (PV) of Meloidogyne hapla populations exists in broad production landscapes. How PV relates to soil health as described by the soil food web (SFW) is unknown. In an experiment replicated three times, nine M. hapla populations from muck and mineral soils with degraded and disturbed SFW conditions from three regions were used to test a hypothesis that PV varies by SFW conditions. The populations were inoculated at 2000 and 4000 eggs in 300 cm3 soil per pot. While the populations’ reproductive potential varied by the SFW condition, soil group, region and/or their interactions, they clustered into high (Population 13), medium (Population 8), and low (all populations from muck and one from mineral soil) PV. Populations 8 and 13 are from degraded mineral soils and the low PV populations are from disturbed and degraded soils, indicating that the conditions where PV exists are variable within or across soil groups. Consequently, the hypothesis is not supported.
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Affiliation(s)
- Isaac Lartey
- Agricultural Nematology Laboratory, Department of Horticulture, Michigan State University, East Lansing, MI 48824, USA
| | - Alexandra Kravchenko
- Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI 48824, USA
| | - Gregory Bonito
- Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI 48824, USA
| | - Haddish Melakeberhan
- Agricultural Nematology Laboratory, Department of Horticulture, Michigan State University, East Lansing, MI 48824, USA
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Abstract
Resistance to the soybean cyst nematode (SCN) is a topic incorporating multiple mechanisms and multiple types of science. It is also a topic of substantial agricultural importance, as SCN is estimated to cause more yield damage than any other pathogen of soybean, one of the world's main food crops. Both soybean and SCN have experienced jumps in experimental tractability in the past decade, and significant advances have been made. The rhg1-b locus, deployed on millions of farm acres, has been durable and will remain important, but local SCN populations are gradually evolving to overcome rhg1-b. Multiple other SCN resistance quantitative trait loci (QTL) of proven value are now in play with soybean breeders. QTL causal gene discovery and mechanistic insights into SCN resistance are contributing to both basic and applied disciplines. Additional understanding of SCN and other cyst nematodes will also grow in importance and lead to novel disease control strategies.
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Affiliation(s)
- Andrew F Bent
- Department of Plant Pathology, University of Wisconsin-Madison, Madison, Wisconsin, USA;
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Basnet P, Meinhardt CG, Usovsky M, Gillman JD, Joshi T, Song Q, Diers B, Mitchum MG, Scaboo AM. Epistatic interaction between Rhg1-a and Rhg2 in PI 90763 confers resistance to virulent soybean cyst nematode populations. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:2025-2039. [PMID: 35381870 PMCID: PMC9205835 DOI: 10.1007/s00122-022-04091-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 03/25/2022] [Indexed: 05/19/2023]
Abstract
KEY MESSAGE An epistatic interaction between SCN resistance loci rhg1-a and rhg2 in PI 90763 imparts resistance against virulent SCN populations which can be employed to diversify SCN resistance in soybean cultivars. With more than 95% of the $46.1B soybean market dominated by a single type of genetic resistance, breeding for soybean cyst nematode (SCN)-resistant soybean that can effectively combat the widespread increase in virulent SCN populations presents a significant challenge. Rhg genes (for Resistance to Heterodera glycines) play a key role in resistance to SCN; however, their deployment beyond the use of the rhg1-b allele has been limited. In this study, quantitative trait loci (QTL) were mapped using PI 90763 through two biparental F3:4 recombinant inbred line (RIL) populations segregating for rhg1-a and rhg1-b alleles against a SCN HG type 1.2.5.7 (Race 2) population. QTL located on chromosome 18 (rhg1-a) and chromosome 11 (rhg2) were determined to confer SCN resistance in PI 90763. The rhg2 gene was fine-mapped to a 169-Kbp region pinpointing GmSNAP11 as the strongest candidate gene. We demonstrated a unique epistatic interaction between rhg1-a and rhg2 loci that not only confers resistance to multiple virulent SCN populations. Further, we showed that pyramiding rhg2 with the conventional mode of resistance, rhg1-b, is ineffective against these virulent SCN populations. This highlights the importance of pyramiding rhg1-a and rhg2 to maximize the impact of gene pyramiding strategies toward management of SCN populations virulent on rhg1-b sources of resistance. Our results lay the foundation for the next generation of soybean resistance breeding to combat the number one pathogen of soybean.
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Affiliation(s)
- Pawan Basnet
- Division of Plant Science and Technology, University of Missouri, Columbia, MO, 65211, USA
| | - Clinton G Meinhardt
- Division of Plant Science and Technology, University of Missouri, Columbia, MO, 65211, USA
| | - Mariola Usovsky
- Division of Plant Science and Technology, University of Missouri, Columbia, MO, 65211, USA
| | | | - Trupti Joshi
- Department of Health Management and Informatics, MUIDSI, and Bond Life Sciences Center, University of Missouri-Columbia, Columbia, MO, 65211, USA
| | - Qijian Song
- Soybean Genomics and Improvement Laboratory, Beltsville Agricultural Research Center, USDA-ARS, Beltsville, MD, USA
| | - Brian Diers
- Department of Crop Sciences, University of Illinois, Urbana-Champaign, IL, USA
| | - Melissa G Mitchum
- Department of Plant Pathology and Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, USA
| | - Andrew M Scaboo
- Division of Plant Science and Technology, University of Missouri, Columbia, MO, 65211, USA.
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Meinhardt C, Howland A, Ellersieck M, Scaboo A, Diers B, Mitchum MG. Resistance Gene Pyramiding and Rotation to Combat Widespread Soybean Cyst Nematode Virulence. PLANT DISEASE 2021; 105:3238-3243. [PMID: 33449807 DOI: 10.1094/pdis-12-20-2556-re] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Soybean cyst nematode (SCN) is an important pathogen of soybean causing >$1 billion in yield losses annually in the United States. Planting SCN-resistant soybean cultivars is the primary management strategy. Resistance genes derived from the plant introduction (PI) 88788 (rhg1-b) and PI 548402 (Peking; rhg1-a and Rhg4) are the main types of resistance available in commercial cultivars. The PI 88788 rhg1-b resistance allele is found in the majority of SCN-resistant cultivars in the north central United States. The widespread use of PI 88788 rhg1-b has led to limited options for farmers to rotate resistance sources to manage SCN. Consequently, overreliance on a single type of resistance has resulted in the selection of SCN populations that have adapted to reproduce on these resistant cultivars. Here we evaluated the effectiveness of rotating soybean lines with different combinations of resistance genes to determine the best strategy for combating the widespread increase in virulent SCN and limit future nematode adaptation to resistant cultivars. Eight SCN populations were developed by continuous selection of a virulent SCN field population (Heterodera glycines [HG] type 1.2.5.7) on a single resistance source or in rotation with soybean pyramiding different resistance gene alleles derived from PI 88788 (rhg1-b), PI 437654 (rhg1-a and Rhg4), PI 468916 (cqSCN-006 and cqSCN-007), and PI 567516C (Chr10). SCN population densities were determined for eight generations. HG type tests were conducted after the eighth generation to evaluate population shifts. The continued use of rhg1-b or 006/007 had limited effectiveness for reducing SCN type 1.2.5.7 population density, whereas rotation to the use of rhg1-a/Rhg4 resistance significantly reduced SCN population density but selected for broader SCN virulence (HG type 1.2.3.5.6.7). A rotation of rhg1-a/Rhg4 with a pyramid of rhg1-b/006/007/Chr10 was the most effective combination at both reducing population density and minimizing selection pressure. Our results provide guidance for implementation of a strategic SCN resistance rotation plan to manage the widespread virulence on PI 88788 and sustain the future durability of SCN resistance genes.
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Affiliation(s)
- Clinton Meinhardt
- Division of Plant Sciences and Bond Life Sciences Center, University of Missouri, Columbia, MO 65211
| | - Amanda Howland
- Division of Plant Sciences and Bond Life Sciences Center, University of Missouri, Columbia, MO 65211
| | - Mark Ellersieck
- Agriculture Experiment Station Statistician, University of Missouri, Columbia, MO 65211
| | - Andrew Scaboo
- Division of Plant Sciences, University of Missouri, Columbia, MO 65211
| | - Brian Diers
- Department of Crop Sciences, University of Illinois, Urbana, IL 61801
| | - Melissa G Mitchum
- Division of Plant Sciences and Bond Life Sciences Center, University of Missouri, Columbia, MO 65211
- Department of Plant Pathology and Institute of Plant Breeding, Genetics, and Genomics, University of Georgia, Athens, GA 30602
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