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Metabarcoding approach for non-indigenous species surveillance in marine coastal waters

In this study, high-throughput sequencing (HTS) metabarcoding was applied for the surveillance of plankton communities within the southeastern (SE) Baltic Sea coastal zone. These results were compared with those from routine monitoring survey and morphological analyses. Four of five nonindigenous species found in the samples were identified exclusively by metabarcoding. All of them are considered as invasive in the Baltic Sea with reported impact on the ecosystem and biodiversity. This study indicates that, despite some current limitations, HTS metabarcoding can provide information on the presence of exotic species and advantageously complement conventional approaches, only requiring the same monitoring effort as before. Even in the currently immature status of HTS, this combination of HTS metabarcoding and observational records is recommended in the early detection of marine pests and delivery of the environmental status metrics of nonindigenous species.

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Cite this as

Zaiko, Anastasija, Samuiloviene, Aurelija, Ardura, Alba, Garcia-Vazquez, Eva (2015). Dataset: Metabarcoding approach for non-indigenous species surveillance in marine coastal waters. https://doi.org/10.1594/PANGAEA.853664

DOI retrieved: 2015

Additional Info

Field Value
Imported on November 29, 2024
Last update November 29, 2024
License CC-BY-NC-3.0
Source https://doi.org/10.1594/PANGAEA.853664
Author Zaiko, Anastasija
Given Name Anastasija
Family Name Zaiko
More Authors
Samuiloviene, Aurelija
Ardura, Alba
Garcia-Vazquez, Eva
Source Creation 2015
Publication Year 2015
Resource Type text/tab-separated-values - filename: Zaiko_2015
Subject Areas
Name: Biosphere

Name: Ecology

Name: Oceans

Related Identifiers
Title: Metabarcoding approach for nonindigenous species surveillance in marine coastal waters
Identifier: https://doi.org/10.1016/j.marpolbul.2015.09.030
Type: DOI
Relation: IsSupplementTo
Year: 2015
Source: Marine Pollution Bulletin
Authors: Zaiko Anastasija , Samuiloviene Aurelija , Ardura Alba , Garcia-Vazquez Eva .