The diagnosis of plant pathogenic bacteria  a state of art

Scala, Valeria; Pucci, Nicoletta; Loreti, Stefania

doi:10.2741/e832

Cited by 16 publications

(4 citation statements)

References 31 publications

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“…As high-throughput DNA sequencing becomes common and costs reduce, pathogen detection and diagnostic techniques are slowly progressing from these traditional methods to molecular methods [58,59]. This change is expected to continue into the future as more technologies are developed [60,61]. The overall aims of all these techniques have remained the same-accurate, reliable, and fast identification and differentiation of specific bacteria from others and of the disease symptoms they cause from those by other causes.…”

Section: Discussionmentioning

confidence: 99%

Development of PCR-Based Detection System for Soft Rot Pectobacteriaceae Pathogens Using Molecular Signatures

2020

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Pectobacterium and Dickeya species, usually referred to as soft rot Enterobacteriaceae, are phytopathogenic genera of bacteria that cause soft rot and blackleg diseases and are responsible for significant yield losses in many crops across the globe. Diagnosis of soft rot disease is difficult through visual disease symptoms. Pathogen detection and identification methods based on cultural and morphological identification are time-consuming and not always reliable. A polymerase chain reaction (PCR)-based detection method with the species-specific primers is fast and reliable for detecting soft rot pathogens. We have developed a specific and sensitive detection system for some species of soft rot Pectobacteriaceae pathogens in the Pectobacterium and Dickeya genera based on the use of species-specific primers to amplify unique genomic segments. The specificities of primers were verified by PCR analysis of genomic DNA from 14 strains of Pectobacterium, 8 strains of Dickeya, and 6 strains of non-soft rot bacteria. This PCR assay provides a quick, simple, powerful, and reliable method for detection of soft rot bacteria.

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Section: Discussionmentioning

confidence: 99%

Development of PCR-Based Detection System for Soft Rot Pectobacteriaceae Pathogens Using Molecular Signatures

2020

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“…Therefore, pathogens bacteria, and fungi for rice disease are not effective using ELISA. Also due to inadequacy of specificity, ELISA is not able to discriminate several strains with luminous specific symptoms [282]. ii.…”

Section: Enzyme-linked Immunosorbent Assay (Elisa)mentioning

confidence: 99%

Plant Leaf Disease Detection, Classification, and Diagnosis Using Computer Vision and Artificial Intelligence: A Review

Bhargava,

Shukla,

Goswami

et al. 2024

IEEE Access

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Agriculture is the ultimate imperative and primary source of origin to furnish domestic income for multifarious countries. The disease caused in plants due to various pathogens like viruses, fungi, and bacteria is liable for considerable monetary losses in the agriculture corporation across the world. The security of crops concerning quality and quantity is crucial to monitor disease in plants. Thus, recognition of plant disease is essential. The plant disease syndrome is noticeable in distinct parts of plants. Nonetheless, commonly the infection is detected in distinct leaves of plants. Computer vision, deep learning, few-shot learning, and soft computing techniques are utilized by various investigators to automatically identify the disease in plants via leaf images. These techniques also benefit farmers in achieving expeditious and appropriate actions to avoid a reduction in the quality and quantity of crops. The application of these techniques in the recognition of disease can avert the disadvantage of origin by a factious selection of disease features, extraction of features , and boost the speed of technology and efficiency of research. Also, certain molecular techniques have been established to prevent and mitigate the pathogenic threat. Hence, this review helps the investigator to automatically detect disease in plants using machine learning, deep learning and few shot learning and provide certain diagnosis techniques to prevent disease. Moreover, some of the future works in the classification of disease are also discussed.

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“…Para el aislamiento tradicional de la bacteria, se utiliza el medio de cultivo selectivo Cristal Violeta Pectato (CVP), en donde se puede evidenciar la habilidad de degradar pectato por parte del aislamiento, generando el crecimiento de colonias incoloras que son características de P. carotovorum (Al-Zomor et al, 2013;Scala et al, 2018). Se conoce que el aislamiento del agente causal de la pudrición blanda utilizando dicho medio de cultivo puede ser seriamente afectado por la presencia de gran cantidad de bacterias saprofíticas en una misma muestra (Fraijee et al, 1997;Jones & Darrah, 1994).…”

Section: Métodos Clásicosunclassified

Pectobacterium carotovorum: agente fitopatógeno causante de la pudrición blanda en la papa (Solanum tuberosum)

Guerrero

Pineda

Vargas

2021

CTA

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La papa (Solanum tuberosum) es un tubérculo de importancia a nivel mundial; es el cuarto cultivo de interés agronómico en términos de producción y área cultivada después del arroz (Oryza sativa), el maíz (Zea mays) y el trigo (Triticum aestivum). Pectobacterium carotovorum es un agente fitopatógeno de la papa que causa la podredumbre blanda del tubérculo, y es considerada como la enfermedad poscosecha más importante, pues genera grandes pérdidas económicas a nivel del almacenamiento. El presente documento pretende dar un esbozo de la biología del patógeno, los métodos existentes para la detección de dicho agente, la descripción del quorum sensing como mecanismo de la regulación de la expresión génica de sus factores de virulencia, el mecanismo de acción del patógeno, el proceso infectivo y los métodos actuales de control.

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The diagnosis of plant pathogenic bacteria a state of art

Cited by 16 publications

References 31 publications

Development of PCR-Based Detection System for Soft Rot Pectobacteriaceae Pathogens Using Molecular Signatures

Development of PCR-Based Detection System for Soft Rot Pectobacteriaceae Pathogens Using Molecular Signatures

Plant Leaf Disease Detection, Classification, and Diagnosis Using Computer Vision and Artificial Intelligence: A Review

Pectobacterium carotovorum: agente fitopatógeno causante de la pudrición blanda en la papa (Solanum tuberosum)

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