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Environmental DNA survey captures patterns of fish and invertebrate diversity across a tropical seascape.
Nguyen, Bryan N; Shen, Elaine W; Seemann, Janina; Correa, Adrienne M S; O'Donnell, James L; Altieri, Andrew H; Knowlton, Nancy; Crandall, Keith A; Egan, Scott P; McMillan, W Owen; Leray, Matthieu.
Afiliación
  • Nguyen BN; Computational Biology Institute, The Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
  • Shen EW; Department of Biological Sciences, The George Washington University, Washington, DC, USA.
  • Seemann J; National Museum of Natural History, Smithsonian Institution, Washington, DC, USA.
  • Correa AMS; Department of Biological Sciences, University of Rhode Island, Kingston, RI, USA. elaineshen@uri.edu.
  • O'Donnell JL; Department of Biosciences, Rice University, Houston, Texas, USA. elaineshen@uri.edu.
  • Altieri AH; Smithsonian Tropical Research Institute, Smithsonian Institution, Balboa, Ancon, Panama.
  • Knowlton N; Department of Biosciences, Rice University, Houston, Texas, USA.
  • Crandall KA; School of Marine and Environmental Affairs, University of Washington, Seattle, WA, USA.
  • Egan SP; Smithsonian Tropical Research Institute, Smithsonian Institution, Balboa, Ancon, Panama.
  • McMillan WO; Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL, USA.
  • Leray M; National Museum of Natural History, Smithsonian Institution, Washington, DC, USA.
Sci Rep ; 10(1): 6729, 2020 04 21.
Article en En | MEDLINE | ID: mdl-32317664
Accurate, rapid, and comprehensive biodiversity assessments are critical for investigating ecological processes and supporting conservation efforts. Environmental DNA (eDNA) surveys show promise as a way to effectively characterize fine-scale patterns of community composition. We tested whether a single PCR survey of eDNA in seawater using a broad metazoan primer could identify differences in community composition between five adjacent habitats at 19 sites across a tropical Caribbean bay in Panama. We paired this effort with visual fish surveys to compare methods for a conspicuous taxonomic group. eDNA revealed a tremendous diversity of animals (8,586 operational taxonomic units), including many small taxa that would be undetected in traditional in situ surveys. Fish comprised only 0.07% of the taxa detected by a broad COI primer, yet included 43 species not observed in the visual survey. eDNA revealed significant differences in fish and invertebrate community composition across adjacent habitats and areas of the bay driven in part by taxa known to be habitat-specialists or tolerant to wave action. Our results demonstrate the ability of broad eDNA surveys to identify biodiversity patterns in the ocean.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Clima Tropical / Océanos y Mares / Biodiversidad / Peces / ADN Ambiental / Invertebrados Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Sci Rep Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Clima Tropical / Océanos y Mares / Biodiversidad / Peces / ADN Ambiental / Invertebrados Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Sci Rep Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
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