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Probing the Rare Biosphere of the North-West Mediterranean Sea: An Experiment with High Sequencing Effort.


ABSTRACT: High-throughput sequencing (HTS) techniques have suggested the existence of a wealth of species with very low relative abundance: the rare biosphere. We attempted to exhaustively map this rare biosphere in two water samples by performing an exceptionally deep pyrosequencing analysis (~500,000 final reads per sample). Species data were derived by a 97% identity criterion and various parametric distributions were fitted to the observed counts. Using the best-fitting Sichel distribution we estimate a total species richness of 1,568-1,669 (95% Credible Interval) and 5,027-5,196 for surface and deep water samples respectively, implying that 84-89% of the total richness in those two samples was sequenced, and we predict that a quadrupling of the present sequencing effort would suffice to observe 90% of the total richness in both samples. Comparing the HTS results with a culturing approach we found that most of the cultured taxa were not obtained by HTS, despite the high sequencing effort. Culturing therefore remains a useful tool for uncovering marine bacterial diversity, in addition to its other uses for studying the ecology of marine bacteria.

SUBMITTER: Crespo BG 

PROVIDER: S-EPMC4956085 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Probing the Rare Biosphere of the North-West Mediterranean Sea: An Experiment with High Sequencing Effort.

Crespo Bibiana G BG   Wallhead Philip J PJ   Logares Ramiro R   Pedrós-Alió Carlos C  

PloS one 20160721 7


High-throughput sequencing (HTS) techniques have suggested the existence of a wealth of species with very low relative abundance: the rare biosphere. We attempted to exhaustively map this rare biosphere in two water samples by performing an exceptionally deep pyrosequencing analysis (~500,000 final reads per sample). Species data were derived by a 97% identity criterion and various parametric distributions were fitted to the observed counts. Using the best-fitting Sichel distribution we estimate  ...[more]

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