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Eva Aylagas
Researcher at King Abdullah University of Science and Technology
Publications - 24
Citations - 877
Eva Aylagas is an academic researcher from King Abdullah University of Science and Technology. The author has contributed to research in topics: Environmental science & Reef. The author has an hindex of 10, co-authored 19 publications receiving 571 citations.
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Benchmarking DNA Metabarcoding for Biodiversity-Based Monitoring and Assessment
TL;DR: Analysis of taxonomic inferences of benthic macroinvertebrate samples of known taxonomic composition obtained using alternative metabarcoding protocols prove metabarcode valid for environmental status assessment and will contribute to accelerating the implementation of this technique to regular monitoring programs.
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Environmental Status Assessment Using DNA Metabarcoding: Towards a Genetics Based Marine Biotic Index (gAMBI)
TL;DR: This work shows, using available sequence data, that information about presence/absence of the most frequently occurring species provides accurate AMBI values, which has direct implications for a faster and cheaper marine monitoring and health status assessment.
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Ecosystems monitoring powered by environmental genomics: a review of current strategies with an implementation roadmap
Tristan Cordier,Laura Alonso-Sáez,Laure Apothéloz-Perret-Gentil,Eva Aylagas,David A. Bohan,Agnès Bouchez,Anthony A. Chariton,Simon Creer,Larissa Frühe,François Keck,Nigel Keeley,Olivier Laroche,Florian Leese,Xavier Pochon,Xavier Pochon,Thorsten Stoeck,Jan Pawlowski,Jan Pawlowski,Anders Lanzén +18 more
TL;DR: This paper aims to compare, review and discuss the strengths and limitations of four general implementation strategies of environmental genomics for monitoring, and proposes a roadmap for the implementation of environmentalgenomics into routine monitoring programmes that leverage recent analytical advancements.
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A bacterial community-based index to assess the ecological status of estuarine and coastal environments.
Eva Aylagas,Ángel Borja,Michael Tangherlini,Antonio Dell'Anno,Cinzia Corinaldesi,Craig T. Michell,Xabier Irigoien,Xabier Irigoien,Roberto Danovaro,Naiara Rodríguez-Ezpeleta +9 more
TL;DR: Using the relative abundance of putative indicator bacterial taxa, a biotic index is developed that is significantly correlated with a sediment quality index calculated on the basis of organic and inorganic compound concentrations.
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Adapting metabarcoding-based benthic biomonitoring into routine marine ecological status assessment networks
TL;DR: In this article, the authors applied DNA metabarcoding methodologies at stations within the monitoring network of the Basque Water Agency, the competent authority for the application of the European Water Framework Directive in this region.