Cargando…

Annual time-series analysis of aqueous eDNA reveals ecologically relevant dynamics of lake ecosystem biodiversity

The use of environmental DNA (eDNA) in biodiversity assessments offers a step-change in sensitivity, throughput and simultaneous measures of ecosystem diversity and function. There remains, however, a need to examine eDNA persistence in the wild through simultaneous temporal measures of eDNA and bio...

Descripción completa

Detalles Bibliográficos
Autores principales: Bista, Iliana, Carvalho, Gary R., Walsh, Kerry, Seymour, Mathew, Hajibabaei, Mehrdad, Lallias, Delphine, Christmas, Martin, Creer, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5253663/
https://www.ncbi.nlm.nih.gov/pubmed/28098255
http://dx.doi.org/10.1038/ncomms14087
_version_ 1782498204127854592
author Bista, Iliana
Carvalho, Gary R.
Walsh, Kerry
Seymour, Mathew
Hajibabaei, Mehrdad
Lallias, Delphine
Christmas, Martin
Creer, Simon
author_facet Bista, Iliana
Carvalho, Gary R.
Walsh, Kerry
Seymour, Mathew
Hajibabaei, Mehrdad
Lallias, Delphine
Christmas, Martin
Creer, Simon
author_sort Bista, Iliana
collection PubMed
description The use of environmental DNA (eDNA) in biodiversity assessments offers a step-change in sensitivity, throughput and simultaneous measures of ecosystem diversity and function. There remains, however, a need to examine eDNA persistence in the wild through simultaneous temporal measures of eDNA and biota. Here, we use metabarcoding of two markers of different lengths, derived from an annual time series of aqueous lake eDNA to examine temporal shifts in ecosystem biodiversity and in an ecologically important group of macroinvertebrates (Diptera: Chironomidae). The analyses allow different levels of detection and validation of taxon richness and community composition (β-diversity) through time, with shorter eDNA fragments dominating the eDNA community. Comparisons between eDNA, community DNA, taxonomy and UK species abundance data further show significant relationships between diversity estimates derived across the disparate methodologies. Our results reveal the temporal dynamics of eDNA and validate the utility of eDNA metabarcoding for tracking seasonal diversity at the ecosystem scale.
format Online
Article
Text
id pubmed-5253663
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-52536632017-02-03 Annual time-series analysis of aqueous eDNA reveals ecologically relevant dynamics of lake ecosystem biodiversity Bista, Iliana Carvalho, Gary R. Walsh, Kerry Seymour, Mathew Hajibabaei, Mehrdad Lallias, Delphine Christmas, Martin Creer, Simon Nat Commun Article The use of environmental DNA (eDNA) in biodiversity assessments offers a step-change in sensitivity, throughput and simultaneous measures of ecosystem diversity and function. There remains, however, a need to examine eDNA persistence in the wild through simultaneous temporal measures of eDNA and biota. Here, we use metabarcoding of two markers of different lengths, derived from an annual time series of aqueous lake eDNA to examine temporal shifts in ecosystem biodiversity and in an ecologically important group of macroinvertebrates (Diptera: Chironomidae). The analyses allow different levels of detection and validation of taxon richness and community composition (β-diversity) through time, with shorter eDNA fragments dominating the eDNA community. Comparisons between eDNA, community DNA, taxonomy and UK species abundance data further show significant relationships between diversity estimates derived across the disparate methodologies. Our results reveal the temporal dynamics of eDNA and validate the utility of eDNA metabarcoding for tracking seasonal diversity at the ecosystem scale. Nature Publishing Group 2017-01-18 /pmc/articles/PMC5253663/ /pubmed/28098255 http://dx.doi.org/10.1038/ncomms14087 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Bista, Iliana
Carvalho, Gary R.
Walsh, Kerry
Seymour, Mathew
Hajibabaei, Mehrdad
Lallias, Delphine
Christmas, Martin
Creer, Simon
Annual time-series analysis of aqueous eDNA reveals ecologically relevant dynamics of lake ecosystem biodiversity
title Annual time-series analysis of aqueous eDNA reveals ecologically relevant dynamics of lake ecosystem biodiversity
title_full Annual time-series analysis of aqueous eDNA reveals ecologically relevant dynamics of lake ecosystem biodiversity
title_fullStr Annual time-series analysis of aqueous eDNA reveals ecologically relevant dynamics of lake ecosystem biodiversity
title_full_unstemmed Annual time-series analysis of aqueous eDNA reveals ecologically relevant dynamics of lake ecosystem biodiversity
title_short Annual time-series analysis of aqueous eDNA reveals ecologically relevant dynamics of lake ecosystem biodiversity
title_sort annual time-series analysis of aqueous edna reveals ecologically relevant dynamics of lake ecosystem biodiversity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5253663/
https://www.ncbi.nlm.nih.gov/pubmed/28098255
http://dx.doi.org/10.1038/ncomms14087
work_keys_str_mv AT bistailiana annualtimeseriesanalysisofaqueousednarevealsecologicallyrelevantdynamicsoflakeecosystembiodiversity
AT carvalhogaryr annualtimeseriesanalysisofaqueousednarevealsecologicallyrelevantdynamicsoflakeecosystembiodiversity
AT walshkerry annualtimeseriesanalysisofaqueousednarevealsecologicallyrelevantdynamicsoflakeecosystembiodiversity
AT seymourmathew annualtimeseriesanalysisofaqueousednarevealsecologicallyrelevantdynamicsoflakeecosystembiodiversity
AT hajibabaeimehrdad annualtimeseriesanalysisofaqueousednarevealsecologicallyrelevantdynamicsoflakeecosystembiodiversity
AT lalliasdelphine annualtimeseriesanalysisofaqueousednarevealsecologicallyrelevantdynamicsoflakeecosystembiodiversity
AT christmasmartin annualtimeseriesanalysisofaqueousednarevealsecologicallyrelevantdynamicsoflakeecosystembiodiversity
AT creersimon annualtimeseriesanalysisofaqueousednarevealsecologicallyrelevantdynamicsoflakeecosystembiodiversity