Promising Perspectives for Detection, Identification, and Quantification of Plant Pathogenic Fungi and Oomycetes through Targeting Mitochondrial DNA.
Tomasz KulikKatarzyna BilskaMaciej ŻelechowskiPublished in: International journal of molecular sciences (2020)
Fungi and oomycetes encompass many pathogens affecting crops worldwide. Their effective control requires screening pathogens across the local and international trade networks along with the monitoring of pathogen inocula in the field. Fundamentals to all of these concerns are their efficient detection, identification, and quantification. The use of molecular markers showed the best promise in the field of plant pathogen diagnostics. However, despite the unquestionable benefits of DNA-based methods, two significant limitations are associated with their use. The first limitation concerns the insufficient level of sensitivity due to the very low and uneven distribution of pathogens in plant material. The second limitation pertains to the inability of widely used diagnostic assays to detect cryptic species. Targeting mtDNA appears to provide a solution to these challenges. Its high copy number in microbial cells makes mtDNA an attractive target for developing highly sensitive assays. In addition, previous studies on different pathogen taxa indicated that mitogenome sequence variation could improve cryptic species delimitation accuracy. This review sheds light on the potential application of mtDNA for pathogen diagnostics. This paper covers a brief description of qPCR and DNA barcoding as two major strategies enabling the diagnostics of plant pathogenic fungi and oomycetes. Both strategies are discussed along with the potential use of mtDNA, including their strengths and weaknesses.
Keyphrases
- mitochondrial dna
- copy number
- candida albicans
- genome wide
- gram negative
- single molecule
- circulating tumor
- dna methylation
- antimicrobial resistance
- cell wall
- cancer therapy
- label free
- microbial community
- loop mediated isothermal amplification
- signaling pathway
- bioinformatics analysis
- amino acid
- risk assessment
- cell proliferation
- plant growth
- machine learning
- single cell
- quantum dots
- nucleic acid
- big data
- molecularly imprinted
- high resolution
- multidrug resistant
- climate change
- circulating tumor cells
- deep learning
- mass spectrometry