Leguminous Seedborne Pathogens: Seed Health and Sustainable Crop Management

Dell’Olmo, Eliana; Tiberini, Antonio; Sigillo, Loredana

doi:10.3390/plants12102040

Cited by 18 publications

(8 citation statements)

References 225 publications

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“…Moreover, some seed-borne microbial agents are pathogenic and can afflict seed viability and germination vigor. Their transmission to seedlings is a major cause of disease outbreaks and crop yield loss [9,10]. This is particularly critical in the case of endophytic localization of pathogens because seed treatments are not effective.…”

Section: Introductionmentioning

confidence: 99%

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First Report on the Seed Immune Response to Fungal Necrotrophs Attack

Ortega-Cuadros,

Aligon,

Arias

et al. 2024

Preprint

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Seeds play a vital role in the perpetuation of plant species, both in natural environments and agriculture. However, they often face challenges from biotic stresses, such as seedborne pathogenic fungi. The transgenerational transmission of these seedborne fungi, along with their dissemination during seed commercialization, can contribute to the emergence of global epidemic diseases, resulting in substantial economic losses. One such pathogenic fungus is Alternaria brassicicola, responsible for causing black spot disease in Brassicaceae. This necrotrophic seedborne fungus negatively impacts plant development, consequently affecting crop production and seed quality. To gain a deeper understanding of the interaction between seeds and necrotrophic fungi, the Arabidopsis thaliana/Alternaria brassicicola model pathosystem has been extensively studied. Recent transcriptomic and genetic studies revealed a distinctive immune response of seeds against this pathogen, divergent from the immune response described in the plant vegetative phase. In germinating seeds and seedlings, the necrotrophic fungus seems to induce susceptible response [1]. It was observed at the RNA level that to the detriment of jasmonic acid pathway, Alternaria induced the salicylic acid and glucosinolate (GSL) pathways. Genetic evidence identified that seedling necrosis, potentially beneficial to the growth of the necrotrophic agent, is hypersensitive response mediated by GSL pathway. Transmission of necrotrophic fungal from seed to seedling unveils novel regulations of the immune response, that would illustrate a trade-off between seedling establishment and fungal infection. This knowledge is promising to sustainably ensure the sanitary quality of crops.

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Section: Introductionmentioning

confidence: 99%

“…This is particularly critical in the case of endophytic localization of pathogens because seed treatments are not effective. Moreover, the increasingly restrictive ban on the use of pesticides makes it necessary to seek alternative solutions to control the sanitary quality of the seed [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

First Report on the Seed Immune Response to Fungal Necrotrophs Attack

Ortega-Cuadros,

Aligon,

Arias

et al. 2024

Preprint

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“…The production of other legume crops has increased in a similar way. Legume bacterial diseases cause yield losses of up to 50%, and dramatically impact economic revenues and food security [ 2 , 3 ]. Therefore, the development of innovative approaches for the early detection and prevention of possible bacterial infections in legume crops is a task of high priority.…”

Section: Introductionmentioning

confidence: 99%

Phytopathogenic Curtobacterium flaccumfaciens Strains Circulating on Leguminous Plants, Alternative Hosts and Weeds in Russia

Tokmakova,

Tarakanov,

Lukianova

et al. 2024

Plants

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Many bacterial plant pathogens have a broad host range important for their life cycle. Alternate hosts from plant families other than the main (primary) host support the survival and dissemination of the pathogen population even in absence of main host plants. Metabolic peculiarities of main and alternative host plants can affect genetic diversity within and between the pathogen populations isolated from those plants. Strains of Gram-positive bacterium Curtobacterium flaccumfaciens were identified as being causal agents of bacterial spot and wilt diseases on leguminous plants, and other crop and weed plants, collected in different regions of Russia. Their biochemical properties and susceptibility to copper compounds have been found to be relatively uniform. According to conventional PCR assays, all of the isolates studied were categorised as pathovar Curtobacterim flaccumfaciens pv. flaccumfaciens, a pathogen of legumes. However, the strains demonstrated a substantial diversity in terms of virulence on several tested host plants and different phylogenetic relationships were revealed by BOX-PCR and alanine synthase gene (alaS) sequencing.

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“…However, these crops are consistently facing formidable challenges from diseases initiated by a diverse array of pathogens, encompassing fungi, bacteria and viruses. The presence of these pathogens collectively poses a significant threat to the long-term health and productivity of leguminous crops (Dell'Olmo et al, 2023). These diseases present a significant risk to the economic feasibility and nutritional stability of agriculture.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Algorithms for Early Detection of Legume Crop Disease

Cho

2024

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Background: Legume crops are an essential component of global agriculture and are widely supplied for human consumption, livestock feed and soil improvement due to their vital nutritional nature. The economic and nutritional significance of legumes is threatened by a multitude of diseases that can cause substantial yield losses. Traditional methods for disease detection, relying on visual inspection, are often subjective and inefficient, leading to delayed intervention. Methods: This study investigates the utilization of machine learning algorithms for the early identification of diseases affecting legume crops. A comprehensive evaluation is conducted on machine learning algorithms, namely Support Vector Machines (SVM) and Convolutional Neural Networks (CNN) with respect to the domain of disease detection. Through a comparative analysis of their performance across different environmental conditions and phases of crop development, this study also explores their strengths and weaknesses. Result: The findings and comparative examination offered significant perspectives on the potential of machine learning algorithms in the realm of early legume crop disease detection. In addition to enhancing crop health and disease management, the research provides support for sustainable agricultural practices and possesses the capacity to augment environmental sustainability and food security through the application of machine learning techniques.

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Leguminous Seedborne Pathogens: Seed Health and Sustainable Crop Management

Cited by 18 publications

References 225 publications

First Report on the Seed Immune Response to Fungal Necrotrophs Attack

First Report on the Seed Immune Response to Fungal Necrotrophs Attack

Phytopathogenic Curtobacterium flaccumfaciens Strains Circulating on Leguminous Plants, Alternative Hosts and Weeds in Russia

Machine Learning Algorithms for Early Detection of Legume Crop Disease

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