Toward routine,DNA-based detection methods for marine pests |
| |
Authors: | Nathan J. Bott Kathy M. Ophel-Keller Michael T. Sierp Herdina Keith P. Rowling Alan C. McKay Maylene G.K. Loo Jason E. Tanner Marty R. Deveney |
| |
Affiliation: | 1. Aquatic Sciences, South Australian Research and Development Institute, PO Box 120, Henley Beach, South Australia 5022, Australia;2. Sustainable Systems, South Australian Research and Development Institute, GPO Box 397, Adelaide, South Australia 5001, Australia;3. Aquatic Biosecurity Program, Primary Industries and Resources South Australia, GPO Box 1625 Adelaide, South Australia 5001, Australia |
| |
Abstract: | Marine pest incursions can cause significant ongoing damage to aquaculture, biodiversity, fisheries habitat, infrastructure and social amenity. They represent a significant and ongoing economic burden. Marine pests can be introduced by several vectors including aquaculture, aquarium trading, commercial shipping, fishing, floating debris, mining activities and recreational boating. Despite the inherent risks, there is currently relatively little routine surveillance of marine pest species conducted in the majority of countries worldwide. Accurate and rapid identification of marine pest species is central to early detection and management. Traditional techniques (e.g. physical sampling and sorting), have limitations, which has motivated some progress towards the development of molecular diagnostic tools. This review provides a brief account of the techniques traditionally used for detection and describes developments in molecular-based methods for the detection and surveillance of marine pest species. Recent advances provide a platform for the development of practical, specific, sensitive and rapid diagnosis and surveillance tools for marine pests for use in effective prevention and control strategies. |
| |
Keywords: | Marine pests DNA Detection Molecular technologies Specific diagnosis Genetic markers Polymerase chain reaction (PCR) Hybridisation |
本文献已被 ScienceDirect 等数据库收录! |
|