Current recommendations and novel strategies for sustainable management of soybean sudden death syndrome

Rodríguez, Marcelo; Sautua, Francisco; Scandiani, Mercedes; Carmona, Marcelo; Asurmendi, Sebastián

doi:10.1002/ps.6458

Cited by 9 publications

(7 citation statements)

References 134 publications

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“…4,5 Despite the economic and nutritional relevance of soybean, this crop is highly susceptible to a wide range of pathogens that reduce crop quality and yield. [6][7][8][9] Among soybean pathogens, Xanthomonas axonopodis pv. glycines (Xag) is a bacterium that can cause bacterial pustule disease.…”

Section: Introductionmentioning

confidence: 99%

“…Soybeans are widely consumed as sprouts, soy milk and fermented products, providing essential dietary nutrients and antioxidants 4, 5 . Despite the economic and nutritional relevance of soybean, this crop is highly susceptible to a wide range of pathogens that reduce crop quality and yield 6–9 . Among soybean pathogens, Xanthomonas axonopodis pv.…”

Section: Introductionmentioning

confidence: 99%

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Exogenous genistein enhances soybean resistance to Xanthomonas axonopodis pv. glycines

Zhang

Pang

Xin‐Yi

et al. 2022

Pest Management Science

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BACKGROUND Xanthomonas axonopodis pv. glycines (Xag) is the causal agent of bacterial pustule disease and results in enormous losses in soybean production. Although isoflavones are known to be involved in soybean resistance against pathogen infection, the effects of exogenous isoflavones on soybean plants remain unexplored. RESULTS Irrigation of soybean plants with isoflavone genistein inhibited plant growth for short periods, probably by inhibiting the tyrosine (brassinosteroids) kinase pathway, and increased disease resistance against Xag. The number of lesions was reduced by 59%–63% when applying 50 μg ml−1 genistein. The effects on disease resistance were observed for 15 days after treatment. Genistein also enhanced the disease resistance of soybean against the fungal pathogen Sclerotinia sclerotiorum. Exogenous genistein increased antioxidant capacity, decreased H2O2 level and promoted the accumulation of phenolics in Xag‐infected soybean leaves. Exogenous genistein reduced the amounts of endogenous daidzein, genistein and glycitein and increased the concentration of genistin, which was found to show strong antibacterial activity against the pathogen and to reduce the expression of virulence factor yapH, and flagella formation gene flgK. The expression of several soybean defense genes, such as chalcone isomerase, glutathione S‐transferase and 1‐aminocyclopropane‐1‐carboxylate oxidase 1, was upregulated after genistein treatment. CONCLUSIONS The effects of exogenous genistein on soybean plants were examined for the first time, revealing new insights into the roles of isoflavones in soybean defense and demonstrating that irrigation with genistein can be a suitable method to induce disease resistance in soybean plants. © 2022 Society of Chemical Industry.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exogenous genistein enhances soybean resistance to Xanthomonas axonopodis pv. glycines

Zhang

Pang

Xin‐Yi

et al. 2022

Pest Management Science

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“…Sudden death syndrome (SDS) is a serious, growing threat to soybean production worldwide. In several countries including Argentina, Brazil, and the USA, this disease is one of the most limiting factor for soybean production [1,2]. In the last 10 years (2013 to 2022), SDS was estimated to have caused $3.35 billion yield loss in the USA, primarily in the northcentral states (Crop Protection Network, https://loss.cropprotectionnetwork.org (accessed on 22 September 2023).…”

Section: Introductionmentioning

confidence: 99%

“…In the last 10 years (2013 to 2022), SDS was estimated to have caused $3.35 billion yield loss in the USA, primarily in the northcentral states (Crop Protection Network, https://loss.cropprotectionnetwork.org (accessed on 22 September 2023). In Argentina, SDS can cause losses between 20 and 40%, reaching up to 90% of the soybean production [1].…”

Section: Introductionmentioning

confidence: 99%

Genome-Wide Informative Microsatellite Markers and Population Structure of Fusarium virguliforme from Argentina and the USA

Silva,

Tian,

Schemerhorn

et al. 2023

JoF

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Soybean sudden death syndrome (SDS) is a destructive disease that causes substantial yield losses in South and North America. Whereas four Fusarium species were identified as the causal agents, F. virguliforme is the primary SDS-causing pathogen in North America and it also contributes substantially to SDS in Argentina. In this study, we comparatively analyzed genome assemblies of four F. virguliforme strains and identified 29 informative microsatellite markers. Sixteen of the 29 markers were used to investigate the genetic diversity and population structure of this pathogen in a collection of 90 strains from Argentina and the USA. A total of 37 multilocus genotypes (MLGs) were identified, including 10 MLGs in Argentina and 26 in the USA. Only MLG2, the most dominant MLG, was found in both countries. Analyses with three different approaches showed that these MLGs could be grouped into three clusters. Cluster IA consisting of four MLGs exclusively from the USA has much higher genetic diversity than the other two clusters, suggesting that it may be the ancestral cluster although additional data are necessary to support this hypothesis. Clusters IB and II consisted of 13 and 21 MLGs, respectively. MLGs belonging to these two clusters were present in all four sampled states in Argentina and all five sampled states in the USA.

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“…Due to limited solutions to prevent SDS through agricultural practices and unpredictable yearly variable weather conditions, the most promising solution for preventing SDS infection is the development of resistant cultivars . However, only a few lines have been developed that are moderately resistant to SDS (Rodriguez et al, 2021). In order to develop SDS resistant soybean cultivars, higher throughput and more precise phenotyping is necessary to identify resistant accessions in breeding programs.…”

Section: Introductionmentioning

confidence: 99%

Deep learning-based phenotyping for genome wide association studies of sudden death syndrome in soybean

et al. 2022

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Using a reliable and accurate method to phenotype disease incidence and severity is essential to unravel the complex genetic architecture of disease resistance in plants, and to develop disease resistant cultivars. Genome-wide association studies (GWAS) involve phenotyping large numbers of accessions, and have been used for a myriad of traits. In field studies, genetic accessions are phenotyped across multiple environments and replications, which takes a significant amount of labor and resources. Deep Learning (DL) techniques can be effective for analyzing image-based tasks; thus DL methods are becoming more routine for phenotyping traits to save time and effort. This research aims to conduct GWAS on sudden death syndrome (SDS) of soybean [Glycine max L. (Merr.)] using disease severity from both visual field ratings and DL-based (using images) severity ratings collected from 473 accessions. Images were processed through a DL framework that identified soybean leaflets with SDS symptoms, and then quantified the disease severity on those leaflets into a few classes with mean Average Precision of 0.34 on unseen test data. Both visual field ratings and image-based ratings identified significant single nucleotide polymorphism (SNP) markers associated with disease resistance. These significant SNP markers are either in the proximity of previously reported candidate genes for SDS or near potentially novel candidate genes. Four previously reported SDS QTL were identified that contained a significant SNPs, from this study, from both a visual field rating and an image-based rating. The results of this study provide an exciting avenue of using DL to capture complex phenotypic traits from images to get comparable or more insightful results compared to subjective visual field phenotyping of traits for disease symptoms.

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Current recommendations and novel strategies for sustainable management of soybean sudden death syndrome

Cited by 9 publications

References 134 publications

Exogenous genistein enhances soybean resistance to Xanthomonas axonopodis pv. glycines

Exogenous genistein enhances soybean resistance to Xanthomonas axonopodis pv. glycines

Genome-Wide Informative Microsatellite Markers and Population Structure of Fusarium virguliforme from Argentina and the USA

Deep learning-based phenotyping for genome wide association studies of sudden death syndrome in soybean

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