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A new sampling device for metabarcoding surveillance of port communities and detection of non-indigenous species.
Zarcero, Jesús; Antich, Adrià; Rius, Marc; Wangensteen, Owen S; Turon, Xavier.
Afiliação
  • Zarcero J; Department of Marine Ecology, Centre for Advanced Studies of Blanes (CEAB), CSIC, 17300 Blanes, Catalonia, Spain.
  • Antich A; Department of Evolutionary Biology, Ecology and Environmental Sciences and Biodiversity Research Institute (IRBio), University of Barcelona, 08028 Barcelona, Catalonia, Spain.
  • Rius M; Department of Marine Ecology, Centre for Advanced Studies of Blanes (CEAB), CSIC, 17300 Blanes, Catalonia, Spain.
  • Wangensteen OS; Department of Marine Ecology, Centre for Advanced Studies of Blanes (CEAB), CSIC, 17300 Blanes, Catalonia, Spain.
  • Turon X; Department of Zoology, Centre for Ecological Genomics and Wildlife Conservation, University of Johannesburg, Auckland Park Johannesburg 2006, South Africa.
iScience ; 27(1): 108588, 2024 Jan 19.
Article em En | MEDLINE | ID: mdl-38111684
ABSTRACT
Metabarcoding techniques are revolutionizing studies of marine biodiversity. They can be used for monitoring non-indigenous species (NIS) in ports and harbors. However, they are often biased by inconsistent sampling methods and incomplete reference databases. Logistic constraints in ports prompt the development of simple, easy-to-deploy samplers. We tested a new device called polyamide mesh for ports organismal monitoring (POMPOM) with a high surface-to-volume ratio. POMPOMS were deployed inside a fishing and recreational port in the Mediterranean alongside conventional settlement plates. We also compiled a curated database with cytochrome oxidase (COI) sequences of Mediterranean NIS. COI metabarcoding of the communities settled in the POMPOMs captured a similar biodiversity than settlement plates, with shared molecular operational units (MOTUs) representing ca. 99% of reads. 38 NIS were detected in the port accounting for ca. 26% of reads. POMPOMs were easy to deploy and handle and provide an efficient method for NIS surveillance.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: IScience Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: IScience Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Espanha