Metagenomic <scp>16S rDNA I</scp> llumina tags are a powerful alternative to amplicon sequencing to explore diversity and structure of microbial communities

Ramiro Logares(Consejo Superior de Investigaciones Científicas), Shinichi Sunagawa(European Molecular Biology Laboratory), Guillem Salazar(Consejo Superior de Investigaciones Científicas), Francisco M. Cornejo‐Castillo(Consejo Superior de Investigaciones Científicas), Isabel Ferrera(Consejo Superior de Investigaciones Científicas), Hugo Sarmento(Consejo Superior de Investigaciones Científicas), Pascal Hingamp(Aix-Marseille Université), Hiroyuki Ogata(Tokyo Institute of Technology), Colomban de Vargas(Centre National de la Recherche Scientifique), Gipsi Lima‐Mendez(Vrije Universiteit Brussel), Jeroen Raes(Vrije Universiteit Brussel), Julie Poulain(Genoscope), Olivier Jaillon(Centre National de la Recherche Scientifique), Patrick Wincker(Centre National de la Recherche Scientifique), Stefanie Kandels‐Lewis(European Molecular Biology Laboratory), Eric Karsenti(European Molecular Biology Laboratory), Peer Bork(European Molecular Biology Laboratory), Silvia G. Acinas(Consejo Superior de Investigaciones Científicas)
Environmental Microbiology
August 19, 2013
Cited by 368Open Access
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Abstract

Sequencing of 16S rDNA polymerase chain reaction (PCR) amplicons is the most common approach for investigating environmental prokaryotic diversity, despite the known biases introduced during PCR. Here we show that 16S rDNA fragments derived from Illumina-sequenced environmental metagenomes (mi tags) are a powerful alternative to 16S rDNA amplicons for investigating the taxonomic diversity and structure of prokaryotic communities. As part of the Tara Oceans global expedition, marine plankton was sampled in three locations, resulting in 29 subsamples for which metagenomes were produced by shotgun Illumina sequencing (ca. 700 Gb). For comparative analyses, a subset of samples was also selected for Roche-454 sequencing using both shotgun (m454 tags; 13 metagenomes, ca. 2.4 Gb) and 16S rDNA amplicon (454 tags; ca. 0.075 Gb) approaches. Our results indicate that by overcoming PCR biases related to amplification and primer mismatch, mi tags may provide more realistic estimates of community richness and evenness than amplicon 454 tags. In addition, mi tags can capture expected beta diversity patterns. Using mi tags is now economically feasible given the dramatic reduction in high-throughput sequencing costs, having the advantage of retrieving simultaneously both taxonomic (Bacteria, Archaea and Eukarya) and functional information from the same microbial community.


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