• Sugandha Angerish

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. Recent advancements in normal and variant polymerase chain reaction (PCR) assays, such as nested, multiplex, quantitative, bio and magnetic-capture hybridization PCR techniques, post and isothermal amplification techniques, DNA and RNA-based probe advancement, and next-generation sequencing, have resulted in novel molecular diagnostic techniques in the field of fungal identification and distinctions. In single and co-infections, these molecular based detection methods are efficient in identifying symptomatic and asymptomatic illnesses of both culturable and unculturable fungal pathogens.

Diagnostics, Fungal, Infections, Pathogen, Phytopathogenic.

"Current Advancements in Fungal Plant Pathology Molecular Diagnostics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.745-749, October-2018, Available :http://www.jetir.org/papers/JETIRFH06125.pdf

"Current Advancements in Fungal Plant Pathology Molecular Diagnostics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp745-749, October-2018, Available at : http://www.jetir.org/papers/JETIRFH06125.pdf