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Estimating species richness using environmental DNA

The foundation for any ecological study and for the effective management of biodiversity in natural systems requires knowing what species are present in an ecosystem. We assessed fish communities in a stream using two methods, depletion‐based electrofishing and environmental DNA metabarcoding (eDNA)...

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Autores principales: Olds, Brett P., Jerde, Christopher L., Renshaw, Mark A., Li, Yiyuan, Evans, Nathan T., Turner, Cameron R., Deiner, Kristy, Mahon, Andrew R., Brueseke, Michael A., Shirey, Patrick D., Pfrender, Michael E., Lodge, David M., Lamberti, Gary A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4972244/
https://www.ncbi.nlm.nih.gov/pubmed/27516876
http://dx.doi.org/10.1002/ece3.2186
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author Olds, Brett P.
Jerde, Christopher L.
Renshaw, Mark A.
Li, Yiyuan
Evans, Nathan T.
Turner, Cameron R.
Deiner, Kristy
Mahon, Andrew R.
Brueseke, Michael A.
Shirey, Patrick D.
Pfrender, Michael E.
Lodge, David M.
Lamberti, Gary A.
author_facet Olds, Brett P.
Jerde, Christopher L.
Renshaw, Mark A.
Li, Yiyuan
Evans, Nathan T.
Turner, Cameron R.
Deiner, Kristy
Mahon, Andrew R.
Brueseke, Michael A.
Shirey, Patrick D.
Pfrender, Michael E.
Lodge, David M.
Lamberti, Gary A.
author_sort Olds, Brett P.
collection PubMed
description The foundation for any ecological study and for the effective management of biodiversity in natural systems requires knowing what species are present in an ecosystem. We assessed fish communities in a stream using two methods, depletion‐based electrofishing and environmental DNA metabarcoding (eDNA) from water samples, to test the hypothesis that eDNA provides an alternative means of determining species richness and species identities for a natural ecosystem. In a northern Indiana stream, electrofishing yielded a direct estimate of 12 species and a mean estimated richness (Chao II estimator) of 16.6 species with a 95% confidence interval from 12.8 to 42.2. eDNA sampling detected an additional four species, congruent with the mean Chao II estimate from electrofishing. This increased detection rate for fish species between methods suggests that eDNA sampling can enhance estimation of fish fauna in flowing waters while having minimal sampling impacts on fish and their habitat. Modern genetic approaches therefore have the potential to transform our ability to build a more complete list of species for ecological investigations and inform management of aquatic ecosystems.
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spelling pubmed-49722442016-08-11 Estimating species richness using environmental DNA Olds, Brett P. Jerde, Christopher L. Renshaw, Mark A. Li, Yiyuan Evans, Nathan T. Turner, Cameron R. Deiner, Kristy Mahon, Andrew R. Brueseke, Michael A. Shirey, Patrick D. Pfrender, Michael E. Lodge, David M. Lamberti, Gary A. Ecol Evol Original Research The foundation for any ecological study and for the effective management of biodiversity in natural systems requires knowing what species are present in an ecosystem. We assessed fish communities in a stream using two methods, depletion‐based electrofishing and environmental DNA metabarcoding (eDNA) from water samples, to test the hypothesis that eDNA provides an alternative means of determining species richness and species identities for a natural ecosystem. In a northern Indiana stream, electrofishing yielded a direct estimate of 12 species and a mean estimated richness (Chao II estimator) of 16.6 species with a 95% confidence interval from 12.8 to 42.2. eDNA sampling detected an additional four species, congruent with the mean Chao II estimate from electrofishing. This increased detection rate for fish species between methods suggests that eDNA sampling can enhance estimation of fish fauna in flowing waters while having minimal sampling impacts on fish and their habitat. Modern genetic approaches therefore have the potential to transform our ability to build a more complete list of species for ecological investigations and inform management of aquatic ecosystems. John Wiley and Sons Inc. 2016-05-30 /pmc/articles/PMC4972244/ /pubmed/27516876 http://dx.doi.org/10.1002/ece3.2186 Text en © 2016 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Olds, Brett P.
Jerde, Christopher L.
Renshaw, Mark A.
Li, Yiyuan
Evans, Nathan T.
Turner, Cameron R.
Deiner, Kristy
Mahon, Andrew R.
Brueseke, Michael A.
Shirey, Patrick D.
Pfrender, Michael E.
Lodge, David M.
Lamberti, Gary A.
Estimating species richness using environmental DNA
title Estimating species richness using environmental DNA
title_full Estimating species richness using environmental DNA
title_fullStr Estimating species richness using environmental DNA
title_full_unstemmed Estimating species richness using environmental DNA
title_short Estimating species richness using environmental DNA
title_sort estimating species richness using environmental dna
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4972244/
https://www.ncbi.nlm.nih.gov/pubmed/27516876
http://dx.doi.org/10.1002/ece3.2186
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