2015
DOI: 10.1111/1755-0998.12410
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PFR2: a curated database of planktonic foraminifera 18S ribosomal DNA as a resource for studies of plankton ecology, biogeography and evolution

Abstract: Planktonic foraminifera (Rhizaria) are ubiquitous marine pelagic protists producing calcareous shells with conspicuous morphology. They play an important role in the marine carbon cycle, and their exceptional fossil record serves as the basis for biochronostratigraphy and past climate reconstructions. A major worldwide sampling effort over the last two decades has resulted in the establishment of multiple large collections of cryopreserved individual planktonic foraminifera samples. Thousands of 18S rDNA parti… Show more

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Cited by 61 publications
(75 citation statements)
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“…The PFR 2 taxonomic framework derives from single-cell genetic studies where the molecular taxonomy (definition of genetic types) was based on phylogenetic inferences and/or automatic delimitation methods. The delimited cluster of sequences were then compared to ecological and biogeographical data to validate their status as genuine biological species (see Morard et al, 2015, and references herein). Of the 3322 sequences available in PFR 2 , 2418 sequences covered the fragment of the region 37f.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The PFR 2 taxonomic framework derives from single-cell genetic studies where the molecular taxonomy (definition of genetic types) was based on phylogenetic inferences and/or automatic delimitation methods. The delimited cluster of sequences were then compared to ecological and biogeographical data to validate their status as genuine biological species (see Morard et al, 2015, and references herein). Of the 3322 sequences available in PFR 2 , 2418 sequences covered the fragment of the region 37f.…”
Section: Methodsmentioning
confidence: 99%
“…These sequences represent eDNA exported to the seafloor from the plankton. With the recent development of the Planktonic Foraminifera Ribosomal Ref- erence Database (PFR 2 ; Morard et al, 2015), the environmental sequences belonging to planktonic foraminifera in the eDNA libraries generated by Lecroq et al (2011) can now be, for the first time, thoroughly analyzed and assigned to the morphological and cryptic species levels The extensive knowledge on the distribution and abundance of planktonic foraminiferal shells in surface sediments (Kucera et al, 2005) enabled the eDNA data to be directly compared with data derived from classical taxonomy. We thus assess to what extent the eDNA originating from plankton is representative of the source community, which is an essential prerequisite for interpretation of the eDNA archive in the sediment.…”
Section: Introductionmentioning
confidence: 99%
“…The taxonomy of planktonic foraminifera is based on test (shell) morphology, and despite the presence of cryptic diversity, the validity of extant morphological taxa is generally supported by ribosomal sequence data [18,19]. Global patterns of morphospecies richness of extant planktonic foraminifera have been linked to various environmental factors, including sea surface temperature, mixed layer depth, productivity, geography and ocean currents [20,21].…”
Section: Introductionmentioning
confidence: 99%
“…However, in order to avoid over-interpretation of sequence differences caused by sequencing errors or intra-individual variability, interpretation of HTS studies relies on the existence of a comprehensive sequence database that allows identification of HTS sequences with a high taxonomic resolution (Guillou et al, 2013;Yilmaz et al, 2014). Such a combined sequence and taxon database can only be established when based on sequences obtained by using the single-cell approach, where an accurate taxonomic description of molecular sequences can be obtained (Morard et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Following a large multi-laboratory effort to merge single-cell sequence data into a comprehensive database (Morard et al, 2015), we realized a need to review the different methodologies developed throughout the era of single-cell molecular analysis of planktonic foraminifera and to provide guidelines for method standardization for future research. To this end, we review all such methods and evaluate them using a dataset on success rates obtained in multiple laboratories over two decades, reflecting a range of methodological parameters.…”
Section: Introductionmentioning
confidence: 99%