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Sample size effects on the assessment of eukaryotic diversity and community structure in aquatic sediments using high-throughput sequencing

Understanding how biodiversity changes in time and space is vital to assess the effects of environmental change on benthic ecosystems. Due to the limitations of morphological methods, there has been a rapid expansion in the application of high-throughput sequencing methods to study benthic eukaryoti...

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Autores principales: Nascimento, Francisco J. A., Lallias, Delphine, Bik, Holly M., Creer, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6078945/
https://www.ncbi.nlm.nih.gov/pubmed/30082688
http://dx.doi.org/10.1038/s41598-018-30179-1
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author Nascimento, Francisco J. A.
Lallias, Delphine
Bik, Holly M.
Creer, Simon
author_facet Nascimento, Francisco J. A.
Lallias, Delphine
Bik, Holly M.
Creer, Simon
author_sort Nascimento, Francisco J. A.
collection PubMed
description Understanding how biodiversity changes in time and space is vital to assess the effects of environmental change on benthic ecosystems. Due to the limitations of morphological methods, there has been a rapid expansion in the application of high-throughput sequencing methods to study benthic eukaryotic communities. However, the effect of sample size and small-scale spatial variation on the assessment of benthic eukaryotic diversity is still not well understood. Here, we investigate the effect of different sample volumes in the genetic assessment of benthic metazoan and non-metazoan eukaryotic community composition. Accordingly, DNA was extracted from five different cumulative sediment volumes comprising 100% of the top 2 cm of five benthic sampling cores, and used as template for Ilumina MiSeq sequencing of 18 S rRNA amplicons. Sample volumes strongly impacted diversity metrics for both metazoans and non-metazoan eukaryotes. Beta-diversity of treatments using smaller sample volumes was significantly different from the beta-diversity of the 100% sampled area. Overall our findings indicate that sample volumes of 0.2 g (1% of the sampled area) are insufficient to account for spatial heterogeneity at small spatial scales, and that relatively large percentages of sediment core samples are needed for obtaining robust diversity measurement of both metazoan and non-metazoan eukaryotes.
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spelling pubmed-60789452018-08-09 Sample size effects on the assessment of eukaryotic diversity and community structure in aquatic sediments using high-throughput sequencing Nascimento, Francisco J. A. Lallias, Delphine Bik, Holly M. Creer, Simon Sci Rep Article Understanding how biodiversity changes in time and space is vital to assess the effects of environmental change on benthic ecosystems. Due to the limitations of morphological methods, there has been a rapid expansion in the application of high-throughput sequencing methods to study benthic eukaryotic communities. However, the effect of sample size and small-scale spatial variation on the assessment of benthic eukaryotic diversity is still not well understood. Here, we investigate the effect of different sample volumes in the genetic assessment of benthic metazoan and non-metazoan eukaryotic community composition. Accordingly, DNA was extracted from five different cumulative sediment volumes comprising 100% of the top 2 cm of five benthic sampling cores, and used as template for Ilumina MiSeq sequencing of 18 S rRNA amplicons. Sample volumes strongly impacted diversity metrics for both metazoans and non-metazoan eukaryotes. Beta-diversity of treatments using smaller sample volumes was significantly different from the beta-diversity of the 100% sampled area. Overall our findings indicate that sample volumes of 0.2 g (1% of the sampled area) are insufficient to account for spatial heterogeneity at small spatial scales, and that relatively large percentages of sediment core samples are needed for obtaining robust diversity measurement of both metazoan and non-metazoan eukaryotes. Nature Publishing Group UK 2018-08-06 /pmc/articles/PMC6078945/ /pubmed/30082688 http://dx.doi.org/10.1038/s41598-018-30179-1 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Nascimento, Francisco J. A.
Lallias, Delphine
Bik, Holly M.
Creer, Simon
Sample size effects on the assessment of eukaryotic diversity and community structure in aquatic sediments using high-throughput sequencing
title Sample size effects on the assessment of eukaryotic diversity and community structure in aquatic sediments using high-throughput sequencing
title_full Sample size effects on the assessment of eukaryotic diversity and community structure in aquatic sediments using high-throughput sequencing
title_fullStr Sample size effects on the assessment of eukaryotic diversity and community structure in aquatic sediments using high-throughput sequencing
title_full_unstemmed Sample size effects on the assessment of eukaryotic diversity and community structure in aquatic sediments using high-throughput sequencing
title_short Sample size effects on the assessment of eukaryotic diversity and community structure in aquatic sediments using high-throughput sequencing
title_sort sample size effects on the assessment of eukaryotic diversity and community structure in aquatic sediments using high-throughput sequencing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6078945/
https://www.ncbi.nlm.nih.gov/pubmed/30082688
http://dx.doi.org/10.1038/s41598-018-30179-1
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