Literature DB >> 24814788

Investigating microbial eukaryotic diversity from a global census: insights from a comparison of pyrotag and full-length sequences of 18S rRNA genes.

Alle A Y Lie1, Zhenfeng Liu2, Sarah K Hu2, Adriane C Jones2, Diane Y Kim2, Peter D Countway3, Linda A Amaral-Zettler4, S Craig Cary5, Evelyn B Sherr6, Barry F Sherr6, Rebecca J Gast7, David A Caron2.   

Abstract

Next-generation DNA sequencing (NGS) approaches are rapidly surpassing Sanger sequencing for characterizing the diversity of natural microbial communities. Despite this rapid transition, few comparisons exist between Sanger sequences and the generally much shorter reads of NGS. Operational taxonomic units (OTUs) derived from full-length (Sanger sequencing) and pyrotag (454 sequencing of the V9 hypervariable region) sequences of 18S rRNA genes from 10 global samples were analyzed in order to compare the resulting protistan community structures and species richness. Pyrotag OTUs called at 98% sequence similarity yielded numbers of OTUs that were similar overall to those for full-length sequences when the latter were called at 97% similarity. Singleton OTUs strongly influenced estimates of species richness but not the higher-level taxonomic composition of the community. The pyrotag and full-length sequence data sets had slightly different taxonomic compositions of rhizarians, stramenopiles, cryptophytes, and haptophytes, but the two data sets had similarly high compositions of alveolates. Pyrotag-based OTUs were often derived from sequences that mapped to multiple full-length OTUs at 100% similarity. Thus, pyrotags sequenced from a single hypervariable region might not be appropriate for establishing protistan species-level OTUs. However, nonmetric multidimensional scaling plots constructed with the two data sets yielded similar clusters, indicating that beta diversity analysis results were similar for the Sanger and NGS sequences. Short pyrotag sequences can provide holistic assessments of protistan communities, although care must be taken in interpreting the results. The longer reads (>500 bp) that are now becoming available through NGS should provide powerful tools for assessing the diversity of microbial eukaryotic assemblages.
Copyright © 2014, American Society for Microbiology. All Rights Reserved.

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Year:  2014        PMID: 24814788      PMCID: PMC4068655          DOI: 10.1128/AEM.00057-14

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  45 in total

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Authors:  S Y Moon-van der Staay; R De Wachter; D Vaulot
Journal:  Nature       Date:  2001-02-01       Impact factor: 49.962

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Authors:  Man Kit Cheung; Chun Hang Au; Ka Hou Chu; Hoi Shan Kwan; Chong Kim Wong
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Authors:  E B Sherr; B F Sherr
Journal:  Microb Ecol       Date:  1994-09       Impact factor: 4.552

4.  Protistan microbial observatory in the Cariaco Basin, Caribbean. I. Pyrosequencing vs Sanger insights into species richness.

Authors:  Virginia Edgcomb; William Orsi; John Bunge; Sunok Jeon; Richard Christen; Chesley Leslin; Mark Holder; Gordon T Taylor; Paula Suarez; Ramon Varela; Slava Epstein
Journal:  ISME J       Date:  2011-03-10       Impact factor: 10.302

5.  Defining DNA-based operational taxonomic units for microbial-eukaryote ecology.

Authors:  David A Caron; Peter D Countway; Pratik Savai; Rebecca J Gast; Astrid Schnetzer; Stefanie D Moorthi; Mark R Dennett; Dawn M Moran; Adriane C Jones
Journal:  Appl Environ Microbiol       Date:  2009-07-10       Impact factor: 4.792

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Authors:  Susan M Huse; David Mark Welch; Hilary G Morrison; Mitchell L Sogin
Journal:  Environ Microbiol       Date:  2010-03-11       Impact factor: 5.491

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Authors:  Kevin E Ashelford; Nadia A Chuzhanova; John C Fry; Antonia J Jones; Andrew J Weightman
Journal:  Appl Environ Microbiol       Date:  2005-12       Impact factor: 4.792

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10.  Patterns of eukaryotic diversity from the surface to the deep-ocean sediment.

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  10 in total

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