Abstract

Fiber crops are an important group of economic plants. Traditionally cultivated for fiber, fiber crops have also become sources of other materials such as food, animal feed, cosmetics and medicine. Asia and America are the two main production areas of fiber crops in the world. However, oomycete diseases have become an important factor limiting their yield and quality, causing devastating consequences for the production of fiber crops in many regions. To effectively control oomycete pathogens and reduce their negative impacts on these crops, it is very important to have fast and accurate detection systems, especially in the early stages of infection. With the rapid development of molecular biology, the diagnosis of plant pathogens has progressed from relying on traditional morphological features to the increasing use of molecular methods. The objective of this paper was to review the current status of research on molecular diagnosis of oomycete pathogens on fiber crops. Our search of PubMed identified nearly 30 species or subspecies of oomycetes on fiber crops, among which the top three species were Phytophthora boehmeriae, Phytophthora nicotianae and Pythium ultimum. The gene regions that have been used for molecular identifications of these pathogens include the internal transcribed spacer (ITS) regions of the nuclear ribosomal RNA gene cluster, and genes coding for translation elongation factor 1α (EF-1α) and mitochondrial cytochrome c oxidase subunits I and II (Cox 1, Cox 2), etc. We summarize the molecular assays that have been used to identify these pathogens and discuss potential areas of future development for fast, specific, and accurate diagnosis of oomycetes on fiber crops.

Highlights

  • Plant pathogens include diverse groups of organisms that can parasite and infect plants and cause diseases

  • Our analysis indicated that all fiber crop oomycete pathogens are clustered into two large clades corresponding to Phytophthora spp. and Pythium spp. (Figure 2), among which P. palmivora and P. arecae, P. cactorum and P. nicotianae, P. dissotocum and P. phragmitis were clustered in one clade with bootstrap values of 100%, respectively, consistent with previous studies [68]

  • Additional challenges for identifying oomycete pathogens include: (i) symptoms of oomycete diseases are often very similar to those caused by other pathogens or non-biological reasons, and (ii) the slow growth of oomycete pathogens compared to many other microorganisms and pathogens

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Summary

Introduction

Plant pathogens include diverse groups of organisms that can parasite and infect plants and cause diseases. The advantages of conventional PCR include convenience, low cost, and high sensitivity It can be time-consuming, and may be difficult to design primers to distinguish closely related pathogens. RT-qPCR is a method that adds fluorescence group into the PCR reaction system, uses fluorescence signal accumulation to monitor the whole PCR process in real time, and uses standard curve to quantitatively analyze the unknown template This method is fast, very sensitive, and can provide quantitative pathogen data. Colloidal gold detection is a new type of immunolabeling technology, which uses colloidal gold as a tracer to detect antigens in pathogens and antibodies in infected hosts This method has the advantages of being simple, rapid, and accurate, but the cost is high. We finish by providing a brief summary of the progresses and discuss potential future areas of research and development

Fiber Crops
Oomycetes
Oomycete Pathogens of Fiber Crops
Oomycete of Fiber
ITS—Conventional PCR
Non-ITS Nuclear Genes—Conventional PCR
Mitochondrial Genes—Conventional PCR
Maximum
Molecular Identification of Oomycete Pathogens in Other Crops
Findings
Conclusions and Future Prospects
Full Text
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