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novel environmental DNA approach to quantify the cryptic invasion of non‐native genotypes
The invasion of non‐native species that are closely related to native species can lead to competitive elimination of the native species and/or genomic extinction through hybridization. Such invasions often become serious before they are detected, posing unprecedented threats to biodiversity. A Japan...
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Published in: | Molecular ecology resources 2016-03, Vol.16 (2), p.415-422 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The invasion of non‐native species that are closely related to native species can lead to competitive elimination of the native species and/or genomic extinction through hybridization. Such invasions often become serious before they are detected, posing unprecedented threats to biodiversity. A Japanese native strain of common carp (Cyprinus carpio) has become endangered owing to the invasion of non‐native strains introduced from the Eurasian continent. Here, we propose a rapid environmental DNA‐based approach to quantitatively monitor the invasion of non‐native genotypes. Using this system, we developed a method to quantify the relative proportion of native and non‐native DNA based on a single‐nucleotide polymorphism using cycling probe technology in real‐time PCR. The efficiency of this method was confirmed in aquarium experiments, where the quantified proportion of native and non‐native DNA in the water was well correlated to the biomass ratio of native and non‐native genotypes. This method provided quantitative estimates for the proportion of native and non‐native DNA in natural rivers and reservoirs, which allowed us to estimate the degree of invasion of non‐native genotypes without catching and analysing individual fish. Our approach would dramatically facilitate the process of quantitatively monitoring the invasion of non‐native conspecifics in aquatic ecosystems, thus revealing a promising method for risk assessment and management in biodiversity conservation. |
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ISSN: | 1755-098X 1755-0998 |
DOI: | 10.1111/1755-0998.12460 |