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Potential Application of PCR Based Molecular Methods in Fish Pathogen Identification: A Review

Md. Ali Arman Ador, Md. Shameul Haque, Sulav Indra Paul, Jui Chakma, Rakib Ehsan, Ashikur Rahman

2021Aquaculture Studies21 citationsDOIOpen Access PDF

Abstract

Molecular biology developments have led to fast growth in new methods for fish disease diagnosis. Molecular diagnostic methods are rapid and more specific, more sensitive than the culture of pathogens, serology, histology, and biochemical methods which are traditionally utilized to identify causative agent fish disease. Molecular diagnostic methods are valuable for detecting specific pathogens that are difficult to culture in vitro or require a long cultivation period and it significantly more rapid in providing results compared to culture. It enables earlier informed decision-making and rapid diagnosis of bacteremia, particularly for low levels of bacteria in specimens. Molecular techniques which have the major significance are mainly PCR-based molecular diagnostic methods including Polymerase Chain Reaction (PCR), Real-Time Polymerase Chain Reaction (RT-PCR), Multiplex Polymerase Chain Reaction (multiplexPCR), and Random Amplified Polymorphic DNA (RAPD). These have been increasingly utilized to diagnose fish disease for the last recent years. Molecular diagnostic methods can detect pathogens from asymptomatic fish, so disease outbreaks could be prevented. As a consequence, antibiotic treatment can be reduced and the development of antibiotic-resistant bacteria can be eliminated. In this review paper, we attempt to summarize the potentiality of PCR-based molecular diagnostic methods and their application in fish pathogen identification.

Topics & Concepts

Polymerase chain reactionMolecular diagnosticsBiologyPathogenMultiplex polymerase chain reactionRAPDMolecular geneticsMicrobiologyFish <Actinopterygii>Computational biologyGeneticsMedicineGeneGenetic diversityPopulationEnvironmental healthFisheryAquaculture disease management and microbiotaIdentification and Quantification in FoodMicrobial infections and disease research
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