Fungal Biotic Stresses in Plants and Its Control Strategy

Hussain, Faisal; Usman, Farzana

doi:10.5772/intechopen.83406

Cited by 17 publications

(9 citation statements)

References 20 publications

(15 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In that case, it should be well differentiated to which microorganism group the symptoms belong to. Although fungal stress is the main biotic stress that cause a considerable decrease in yield, virus and bacterial infections are also common in plants under natural conditions [15]. Trying to identify a fungal pathogen with bacterial barcodes is pointless.…”

Section: Wet Lab Applicationsmentioning

confidence: 99%

Metagenomics Next Generation Sequencing (mNGS): An Exciting Tool for Early and Accurate Diagnosing Plant Fungal Pathogens

Gökdemir¹,

İşeri²,

Sharma³

et al. 2022

Preprint

View full text Add to dashboard Cite

Crop output is directly impacted by plant infections (with fungi as the major pathogen), making accurate diagnosis of these threats crucial. Developing technology and multidisciplinary approaches are turning to genomic analyses in addition to traditional culture methods in diagnosing fungal plant diseases. The metagenomic next-generation sequencing (mNGS) method is preferred for genotyping identification of organisms, identification at the species level, illumination of metabolic pathways, and determination of microbiota. Moreover, the data obtained so far show that this new approach shows promise as an emerging new trend in fungal disease detection. Another approach covered by mNGS technologies, known as metabarcoding, enables use of specific markers specific to a genetic region and allows for genotypic identification by facilitating the sequencing of certain regions. Although the core concept of mNGS remains constant across applications, the specific sequencing methods and bioinformatics tools used to analyze the data do differ. In this review, we focus on how mNGS technology, including metabarcoding, is applied in fungal pathogenesis and its promising developments for the future.

show abstract

Section: Wet Lab Applicationsmentioning

confidence: 99%

Metagenomics Next Generation Sequencing (mNGS): An Exciting Tool for Early and Accurate Diagnosing Plant Fungal Pathogens

Gökdemir¹,

İşeri²,

Sharma³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…To date, more than 10,000 fungal species associated with plants have been discovered, and it is not surprising that fungal infections cause more harm than the diseases caused by other pathogenic microorganisms [ 61 ].…”

Section: The Most Significant Phytopathogensmentioning

confidence: 99%

Infectious plant diseases: etiology, current status, problems and prospects in plant protection

et al. 2020

View full text Add to dashboard Cite

In recent years, there has been an increase in the number of diseases caused by bacterial, fungal, and viral infections. Infections affect plants at different stages of agricultural production. Depending on weather conditions and the phytosanitary condition of crops, the prevalence of diseases can reach 7080% of the total plant population, and the yield can decrease in some cases down to 8098%. Plants have innate cellular immunity, but specific phytopathogens have an ability to evade that immunity. This article examined phytopathogens of viral, fungal, and bacterial nature and explored the concepts of modern plant protection, methods of chemical, biological, and agrotechnical control, as well as modern methods used for identifying phytopathogens.

show abstract

“…Pathogenic fungi infect plants at any phase from the seedling stage to the seed maturing stage under natural environmental conditions, either alone or in concert with other kinds of phytopathogens ( Narayanasamy, 2011 ). The most common diseases caused by plant pathogenic fungi are anthracnose, blight, canker, damping off, dieback, gall, leaf spot, powdery mildew, rust, root rot, scab, and wilt ( Iqbal et al., 2018 ; Hussain and Usman, 2019 ; Jain et al., 2019 ). These diseases can generate significant losses in yield ( Godfray et al., 2016 ), quality and quantity ( Shuping and Eloff, 2017 ) in various agricultural systems ( Rodriguez-Moreno et al., 2018 ) of economically important agronomical ( Leonard and Szabo, 2005 ; Asibi et al., 2019 ), horticultural ( Agrios, 2009 ; Wenneker and Thomma, 2020 ), floricultural and ornamental ( Darras, 2016 ; Lecomte et al., 2016 ), and forest ( Ritz, 2005 ; Marčiulynas et al., 2020 ) plant species worldwide ( Malcolm et al., 2013 ).…”

Section: Introductionmentioning

confidence: 99%

Recent Advances in Molecular Diagnostics of Fungal Plant Pathogens: A Mini Review

Hariharan¹,

Prasannath²

2021

Front. Cell. Infect. Microbiol.

104

View full text Add to dashboard Cite

Phytopathogenic fungal species can cause enormous losses in quantity and quality of crop yields and this is a major economic issue in the global agricultural sector. Precise and rapid detection and identification of plant infecting fungi are essential to facilitate effective management of disease. DNA-based methods have become popular methods for accurate plant disease diagnostics. Recent developments in standard and variant polymerase chain reaction (PCR) assays including nested, multiplex, quantitative, bio and magnetic-capture hybridization PCR techniques, post and isothermal amplification methods, DNA and RNA based probe development, and next-generation sequencing provide novel tools in molecular diagnostics in fungal detection and differentiation fields. These molecular based detection techniques are effective in detecting symptomatic and asymptomatic diseases of both culturable and unculturable fungal pathogens in sole and co-infections. Even though the molecular diagnostic approaches have expanded substantially in the recent past, there is a long way to go in the development and application of molecular diagnostics in plant diseases. Molecular techniques used in plant disease diagnostics need to be more reliable, faster, and easier than conventional methods. Now the challenges are with scientists to develop practical techniques to be used for molecular diagnostics of plant diseases. Recent advancement in the improvement and application of molecular methods for diagnosing the widespread and emerging plant pathogenic fungi are discussed in this review.

show abstract

Fungal Biotic Stresses in Plants and Its Control Strategy

Cited by 17 publications

References 20 publications

Metagenomics Next Generation Sequencing (mNGS): An Exciting Tool for Early and Accurate Diagnosing Plant Fungal Pathogens

Metagenomics Next Generation Sequencing (mNGS): An Exciting Tool for Early and Accurate Diagnosing Plant Fungal Pathogens

Infectious plant diseases: etiology, current status, problems and prospects in plant protection

Recent Advances in Molecular Diagnostics of Fungal Plant Pathogens: A Mini Review

Contact Info

Product

Resources

About