Document généré le 16/04/2026 depuis l'adresse: https://www.documentation.eauetbiodiversite.fr/fr/notice/species-detection-using-environmental-dna-from-water-samples-
Titre alternatif
Producteur
Contributeur(s)
MIAUD Claude,POMPANON François,TABERLET Pierre
Éditeur(s)
The Royal Society Publishing
Identifiant documentaire
29-1921
Identifiant OAI
oai:base-documentaire.pole-tropical.org:1921
Auteur(s):
FICETOLA Gentile Francesco
Mots clés
ADN
ECHANTILLONNAGE
INDICATEUR
INDICATEUR ENVIRONNEMENTAL
MILIEU AQUATIQUE
ESPECE INVASIVE
Date de publication
01/01/2008
Date de création
Date de modification
Date d'acceptation du document
Date de dépôt légal
Langue
eng
Thème
Type de ressource
Source
Droits de réutilisation
Région
Département
Commune
Description
The assessment of species distribution is a first critical phase of biodiversity studies and is necessary to many disciplines such as biogeography, conservation biology and ecology. However, several species are difficult to detect, especially during particular time periods or developmental stages, potentially biasing study outcomes. Here we present a novel approach, based on the limited persistence of DNA in the environment, to detect the presence of a species in fresh water. We used specific primers that amplify short mitochondrial DNA sequences to track the presence of a frog (Rana catesbeiana) in controlled environments
and natural wetlands. A multi-sampling approach allowed for species detection in all environments where it was present, even at low densities. The reliability of the results was demonstrated by the identification of amplified DNA fragments, using traditional sequencing and parallel pyrosequencing techniques. As the environment can retain the molecular imprint of inhabiting species, our approach allows the reliable detection of secretive
organisms in wetlands without direct observation. Combined with massive sequencing and the development of DNA barcodes that enable species identification, this approach opens new perspec-
tives for the assessment of current biodiversity from environmental samples.
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