Plant pathogenicity and associated/related detection systems. A review

Patel, Rhea; Mitra, Bappa; Vinchurkar, Madhuri; Adami, Andrea; Patkar, Rajul; Giacomozzi, F.; Lorenzelli, Leandro; Baghini, Maryam Shojaei

doi:10.1016/j.talanta.2022.123808

Cited by 18 publications

(4 citation statements)

References 52 publications

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“…Therefore, implementing modern and efficient pathogen detection methods is imperative to minimize the losses caused by plant pathogens, including SRPs [114]. The new techniques based on nucleic acids or specific antigen detection are much faster, more sensitive, and more accurate than traditional microbiology [115]. Due to developments in molecular biology, the number of available PCR-based methods for detecting SRPs is constantly increasing [108,116,117] including quantitative ones [118,119].…”

Section: Soft Rot Pectobacteriaceae Detectionmentioning

confidence: 99%

“…In loop-mediated isothermal amplification, it is possible to detect P. parmentieri with a detection limit of about 20 genomes (from gDNA isolation) or 10 CFU/mL of heat-killed bacterial cells [121]. ELISA-based methods, which could be good candidates for fast and reliable screening due to their simplicity, do not yet provide sufficient sensitivity for detecting SRPs in plant material [115]. Therefore, new methods based, for example, on immunosensors [122] or biosensors targeted for usage in the field have been created [123].…”

Section: Soft Rot Pectobacteriaceae Detectionmentioning

confidence: 99%

See 1 more Smart Citation

Looking for Resistance to Soft Rot Disease of Potatoes Facing Environmental Hypoxia

Maciag,

Kozieł,

Otulak-Kozieł

et al. 2024

IJMS

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Plants are exposed to various stressors, including pathogens, requiring specific environmental conditions to provoke/induce plant disease. This phenomenon is called the “disease triangle” and is directly connected with a particular plant–pathogen interaction. Only a virulent pathogen interacting with a susceptible plant cultivar will lead to disease under specific environmental conditions. This may seem difficult to accomplish, but soft rot Pectobacteriaceae (SRPs) is a group virulent of pathogenic bacteria with a broad host range. Additionally, waterlogging (and, resulting from it, hypoxia), which is becoming a frequent problem in farming, is a favoring condition for this group of pathogens. Waterlogging by itself is an important source of abiotic stress for plants due to lowered gas exchange. Therefore, plants have evolved an ethylene-based system for hypoxia sensing. Plant response is coordinated by hormonal changes which induce metabolic and physiological adjustment to the environmental conditions. Wetland species such as rice (Oryza sativa L.), and bittersweet nightshade (Solanum dulcamara L.) have developed adaptations enabling them to withstand prolonged periods of decreased oxygen availability. On the other hand, potato (Solanum tuberosum L.), although able to sense and response to hypoxia, is sensitive to this environmental stress. This situation is exploited by SRPs which in response to hypoxia induce the production of virulence factors with the use of cyclic diguanylate (c-di-GMP). Potato tubers in turn reduce their defenses to preserve energy to prevent the negative effects of reactive oxygen species and acidification, making them prone to soft rot disease. To reduce the losses caused by the soft rot disease we need sensitive and reliable methods for the detection of the pathogens, to isolate infected plant material. However, due to the high prevalence of SRPs in the environment, we also need to create new potato varieties more resistant to the disease. To reach that goal, we can look to wild potatoes and other Solanum species for mechanisms of resistance to waterlogging. Potato resistance can also be aided by beneficial microorganisms which can induce the plant’s natural defenses to bacterial infections but also waterlogging. However, most of the known plant-beneficial microorganisms suffer from hypoxia and can be outcompeted by plant pathogens. Therefore, it is important to look for microorganisms that can withstand hypoxia or alleviate its effects on the plant, e.g., by improving soil structure. Therefore, this review aims to present crucial elements of potato response to hypoxia and SRP infection and future outlooks for the prevention of soft rot disease considering the influence of environmental conditions.

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Section: Soft Rot Pectobacteriaceae Detectionmentioning

confidence: 99%

Section: Soft Rot Pectobacteriaceae Detectionmentioning

confidence: 99%

Looking for Resistance to Soft Rot Disease of Potatoes Facing Environmental Hypoxia

Maciag,

Kozieł,

Otulak-Kozieł

et al. 2024

IJMS

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“…However, in the current development process, the main problem encountered is that the frequent occurrence of diseases has led to reduction of output or even crop failure. In order to reduce the loss of plant quality and economy caused by diseases, targeted screening and diagnosis in advance are required during plant growth ( Patel et al., 2023 ). The traditional way is manual identification, relying on experience, high cost and low accuracy.…”

Section: Introductionmentioning

confidence: 99%

Hybrid improved capuchin search algorithm for plant image thresholding

et al. 2023

Front. Plant Sci.

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With the development and wider application of meta-heuristic optimization algorithms, researchers increasingly apply them to threshold optimization of multi-level image segmentation. This paper explores the performance and effects of Capuchin Search Algorithm (CAPSA) in threshold optimization. To solve problems of uneven distribution in the initial population of Capuchin Search Algorithm, low levels of global search performance and premature falling into local optima, this paper proposes an improved Capuchin Search Algorithm (ICAPSA) through a multi-strategy approach. ICAPSA uses chaotic opposite-based learning strategy to initialize the positions of individual capuchins, and improve the quality of the initial population. In the iterative position updating process, Levy Flight disturbance strategy is introduced to balance the global optimization and local exploitation of the algorithm. Finally, taking Kapur as the objective function, this paper applies ICAPSA to multi-level thresholding in the plant images, and compares its segmentation effects with the original CAPSA, the Fuzzy Artificial Bee Colony algorithm (FABC), the Differential Coyote Optimization Algorithm (DCOA), the Modified Whale Optimization Algorithm (MWOA) and Improved Satin Bowerbird Optimization Algorithm (ISBO). Through comparison, it is found that ICAPSA demonstrates superior segmentation effect, both in the visual effects of image segmentation and in data comparison.

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“…Lou and Zhang (2004) used PCR primers from the internal transcribed spacer (ITS) region to specifically detect G. sylvaticum [18]. However, PCR testing is time-consuming, requires specialized equipment and is difficult to use for field diagnoses [19]. To overcome these obstacles, many isothermal DNA amplification methods, such as loop-mediated isothermal amplification (LAMP), have been developed to diagnose plant pathogens in situ rapidly [20,21].…”

Section: Introductionmentioning

confidence: 99%

Host Range and Loop-Mediated Isothermal Amplification Detection of Globisporangium sylvaticum from Guizhou, China

Zhang

Sun

et al. 2023

JoF

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Globisporangium, especially G. sylvaticum, causes devastating root rot, blight, and other diseases in various species of cash crops. To investigate the distribution and host range of G. sylvaticum in Guizhou, a suitable habitat for this pathogen, we collected 156 root-diseased samples, isolated the pathogens, and found that G. sylvaticum is widespread and has eleven host plants, including four novel hosts. Furthermore, to effectively identify G. sylvaticum, we developed a simple and dependable method based on loop-mediated isothermal amplification (LAMP), which used a primer set designed from the internal transcribed spacer sequences with high specificity and sensitivity of 1 pg/μL. Additionally, to perform field identification, we used the “Plant-LAMP” method with crude DNA extraction to detect the pathogen in 45 root samples from nine species of plants. Our results showed that this method could effectively detect G. sylvaticum in diseased roots. Therefore, our findings not only enrich existing research on the diversity of pathogenic Globisporangium in Guizhou but also present an efficient LAMP field detection method that could significantly contribute to plant disease management and prevention.

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Plant pathogenicity and associated/related detection systems. A review

Cited by 18 publications

References 52 publications

Looking for Resistance to Soft Rot Disease of Potatoes Facing Environmental Hypoxia

Looking for Resistance to Soft Rot Disease of Potatoes Facing Environmental Hypoxia

Hybrid improved capuchin search algorithm for plant image thresholding

Host Range and Loop-Mediated Isothermal Amplification Detection of Globisporangium sylvaticum from Guizhou, China

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