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Ecological coherence of diversity patterns derived from classical fingerprinting and Next Generation Sequencing techniques

Changes in richness and bacterial community structure obtained via 454 Massively Parallel Tag Sequencing (MPTS) and Automated Ribosomal Intergenic Analysis (ARISA) were systematically compared to determine whether and how the ecological knowledge obtained from both molecular techniques could be comb...

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Autores principales: Gobet, Angélique, Boetius, Antje, Ramette, Alban
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4262003/
https://www.ncbi.nlm.nih.gov/pubmed/24147993
http://dx.doi.org/10.1111/1462-2920.12308
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author Gobet, Angélique
Boetius, Antje
Ramette, Alban
author_facet Gobet, Angélique
Boetius, Antje
Ramette, Alban
author_sort Gobet, Angélique
collection PubMed
description Changes in richness and bacterial community structure obtained via 454 Massively Parallel Tag Sequencing (MPTS) and Automated Ribosomal Intergenic Analysis (ARISA) were systematically compared to determine whether and how the ecological knowledge obtained from both molecular techniques could be combined. We evaluated community changes over time and depth in marine coastal sands at different levels of taxonomic resolutions, sequence corrections and sequence abundances. Although richness over depth layers or sampling dates greatly varied [∼ 30% and 70–80% new operational taxonomic units (OTU) between two samples with ARISA and MPTS respectively], overall patterns of community variations were similar with both approaches. Alpha-diversity estimated by ARISA-derived OTU was most similar to that obtained from MPTS-derived OTU defined at the order level. Similar patterns of OTU replacement were also found with MPTS at the family level and with 20–25% rare types removed. Using ARISA or MPTS datasets with lower resolution, such as those containing only resident OTU, yielded a similar set of significant contextual variables explaining bacterial community changes. Hence, ARISA as a rapid and low-cost fingerprinting technique represents a valid starting point for more in-depth exploration of community composition when complemented by the detailed taxonomic description offered by MPTS.
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spelling pubmed-42620032014-12-15 Ecological coherence of diversity patterns derived from classical fingerprinting and Next Generation Sequencing techniques Gobet, Angélique Boetius, Antje Ramette, Alban Environ Microbiol Research Articles Changes in richness and bacterial community structure obtained via 454 Massively Parallel Tag Sequencing (MPTS) and Automated Ribosomal Intergenic Analysis (ARISA) were systematically compared to determine whether and how the ecological knowledge obtained from both molecular techniques could be combined. We evaluated community changes over time and depth in marine coastal sands at different levels of taxonomic resolutions, sequence corrections and sequence abundances. Although richness over depth layers or sampling dates greatly varied [∼ 30% and 70–80% new operational taxonomic units (OTU) between two samples with ARISA and MPTS respectively], overall patterns of community variations were similar with both approaches. Alpha-diversity estimated by ARISA-derived OTU was most similar to that obtained from MPTS-derived OTU defined at the order level. Similar patterns of OTU replacement were also found with MPTS at the family level and with 20–25% rare types removed. Using ARISA or MPTS datasets with lower resolution, such as those containing only resident OTU, yielded a similar set of significant contextual variables explaining bacterial community changes. Hence, ARISA as a rapid and low-cost fingerprinting technique represents a valid starting point for more in-depth exploration of community composition when complemented by the detailed taxonomic description offered by MPTS. BlackWell Publishing Ltd 2014-09 2013-11-14 /pmc/articles/PMC4262003/ /pubmed/24147993 http://dx.doi.org/10.1111/1462-2920.12308 Text en Copyright © 2014 Society for Applied Microbiology and John Wiley & Sons Ltd http://creativecommons.org/licenses/by-nc/3.0/ This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Articles
Gobet, Angélique
Boetius, Antje
Ramette, Alban
Ecological coherence of diversity patterns derived from classical fingerprinting and Next Generation Sequencing techniques
title Ecological coherence of diversity patterns derived from classical fingerprinting and Next Generation Sequencing techniques
title_full Ecological coherence of diversity patterns derived from classical fingerprinting and Next Generation Sequencing techniques
title_fullStr Ecological coherence of diversity patterns derived from classical fingerprinting and Next Generation Sequencing techniques
title_full_unstemmed Ecological coherence of diversity patterns derived from classical fingerprinting and Next Generation Sequencing techniques
title_short Ecological coherence of diversity patterns derived from classical fingerprinting and Next Generation Sequencing techniques
title_sort ecological coherence of diversity patterns derived from classical fingerprinting and next generation sequencing techniques
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4262003/
https://www.ncbi.nlm.nih.gov/pubmed/24147993
http://dx.doi.org/10.1111/1462-2920.12308
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