Surface ocean metabarcoding confirms limited diversity in planktonic foraminifera but reveals unknown hyper-abundant lineages. Morard, R., Garet-Delmas, M. J., Mahe, F., Romac, S., Poulain, J., Kucera, M., & de Vargas, C. Sci Rep, 8(1):2539, 2018. Morard, Raphael Garet-Delmas, Marie-Jose Mahe, Frederic Romac, Sarah Poulain, Julie Kucera, Michal de Vargas, Colomban eng Research Support, Non-U.S. Gov't England Sci Rep. 2018 Feb 7;8(1):2539. doi: 10.1038/s41598-018-20833-z.
Paper doi abstract bibtex Since the advent of DNA metabarcoding surveys, the planktonic realm is considered a treasure trove of diversity, inhabited by a small number of abundant taxa, and a hugely diverse and taxonomically uncharacterized consortium of rare species. Here we assess if the apparent underestimation of plankton diversity applies universally. We target planktonic foraminifera, a group of protists whose known morphological diversity is limited, taxonomically resolved and linked to ribosomal DNA barcodes. We generated a pyrosequencing dataset of 100,000 partial 18S rRNA foraminiferal sequences from 32 size fractioned photic-zone plankton samples collected at 8 stations in the Indian and Atlantic Oceans during the Tara Oceans expedition (2009-2012). We identified 69 genetic types belonging to 41 morphotaxa in our metabarcoding dataset. The diversity saturated at local and regional scale as well as in the three size fractions and the two depths sampled indicating that the diversity of foraminifera is modest and finite. The large majority of the newly discovered lineages occur in the small size fraction, neglected by classical taxonomy. These unknown lineages dominate the bulk [>0.8 microm] size fraction, implying that a considerable part of the planktonic foraminifera community biomass has its origin in unknown lineages.
@article{RN90,
author = {Morard, R. and Garet-Delmas, M. J. and Mahe, F. and Romac, S. and Poulain, J. and Kucera, M. and de Vargas, C.},
title = {Surface ocean metabarcoding confirms limited diversity in planktonic foraminifera but reveals unknown hyper-abundant lineages},
journal = {Sci Rep},
volume = {8},
number = {1},
pages = {2539},
note = {Morard, Raphael
Garet-Delmas, Marie-Jose
Mahe, Frederic
Romac, Sarah
Poulain, Julie
Kucera, Michal
de Vargas, Colomban
eng
Research Support, Non-U.S. Gov't
England
Sci Rep. 2018 Feb 7;8(1):2539. doi: 10.1038/s41598-018-20833-z.},
abstract = {Since the advent of DNA metabarcoding surveys, the planktonic realm is considered a treasure trove of diversity, inhabited by a small number of abundant taxa, and a hugely diverse and taxonomically uncharacterized consortium of rare species. Here we assess if the apparent underestimation of plankton diversity applies universally. We target planktonic foraminifera, a group of protists whose known morphological diversity is limited, taxonomically resolved and linked to ribosomal DNA barcodes. We generated a pyrosequencing dataset of ~100,000 partial 18S rRNA foraminiferal sequences from 32 size fractioned photic-zone plankton samples collected at 8 stations in the Indian and Atlantic Oceans during the Tara Oceans expedition (2009-2012). We identified 69 genetic types belonging to 41 morphotaxa in our metabarcoding dataset. The diversity saturated at local and regional scale as well as in the three size fractions and the two depths sampled indicating that the diversity of foraminifera is modest and finite. The large majority of the newly discovered lineages occur in the small size fraction, neglected by classical taxonomy. These unknown lineages dominate the bulk [>0.8 microm] size fraction, implying that a considerable part of the planktonic foraminifera community biomass has its origin in unknown lineages.},
keywords = {Atlantic Ocean
*Biodiversity
DNA, Ribosomal/*genetics
Ecosystem
*Foraminifera/classification/genetics
High-Throughput Nucleotide Sequencing/*methods
Indian Ocean
*Plankton/classification/genetics
RNA, Ribosomal, 18S/*genetics},
ISSN = {2045-2322 (Electronic)
2045-2322 (Linking)},
DOI = {10.1038/s41598-018-20833-z},
url = {https://www.ncbi.nlm.nih.gov/pubmed/29416071},
year = {2018},
type = {Journal Article}
}
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