Evidence map›Paper›PMID 36755065›Full record

ArticleISME communications2021

Paleo-diatom composition from Santa Barbara Basin deep-sea sediments: a comparison of 18S-V9 and diat-rbcL metabarcoding vs shotgun metagenomics.

Linda Armbrecht, Raphael Eisenhofer, José Utge, Elizabeth C Sibert, Fabio Rocha, Ryan Ward, Juan José Pierella Karlusich, Leila Tirichine, Richard Norris, Mindi Summers and 1 more

Abstract read
In one paragraph

Article in ISME communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Linda ArmbrechtInstitute for Marine and Antarctic Studies (IMAS), Ecology & Biodiversity Centre, University of Tasmania, Battery Point, TAS, 7004, Australia. linda.armbrecht@utas.edu.au.ORCID http://orcid.org/0000-0002-1213-1257
Raphael EisenhoferAustralian Research Council Centre of Excellence for Australian Biodiversity and Heritage, The University of Adelaide, Adelaide, SA, 5005, Australia.ORCID http://orcid.org/0000-0002-3843-0749
José UtgeUMR 7206, Muséum National d'Histoire Naturelle, CNRS, Université Paris Diderot, 75016, Paris, France.
Elizabeth C SibertDepartment of Earth and Planetary Sciences, Yale University, New Haven, CT, 06511, USA.ORCID http://orcid.org/0000-0003-0577-864X
Fabio RochaInstitut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, Université PSL, 75005, Paris, France.ORCID http://orcid.org/0000-0001-9872-0337
Ryan WardInstitut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, Université PSL, 75005, Paris, France.ORCID http://orcid.org/0000-0002-5919-4458
Juan José Pierella KarlusichInstitut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, Université PSL, 75005, Paris, France.ORCID http://orcid.org/0000-0003-1739-4424
Leila TirichineInstitut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, Université PSL, 75005, Paris, France.ORCID http://orcid.org/0000-0002-9491-4414
Richard NorrisGRD, Scripps Institution of Oceanography, UC San Diego, La Jolla, CA, 92093-0244, USA.ORCID http://orcid.org/0000-0001-5288-1733
Mindi SummersDepartment of Biological Sciences, University of Calgary, Calgary, AB, T2N 1N4, Canada.ORCID http://orcid.org/0000-0002-1703-4464
Chris BowlerInstitut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, Université PSL, 75005, Paris, France. cbowler@biologie.ens.fr.ORCID http://orcid.org/0000-0003-3835-6187

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sedimentary ancient DNA (sedaDNA) analyses are increasingly used to reconstruct marine ecosystems. The majority of marine sedaDNA studies use a metabarcoding approach (extraction and analysis of specific DNA fragments of a defined length), targeting short taxonomic marker genes. Promising examples are 18S-V9 rRNA (~121-130 base pairs, bp) and diat-rbcL (76 bp), targeting eukaryotes and diatoms, respectively. However, it remains unknown how 18S-V9 and diat-rbcL derived compositional profiles compare to metagenomic shotgun data, the preferred method for ancient DNA analyses as amplification biases are minimised. We extracted DNA from five Santa Barbara Basin sediment samples (up to ~11 000 years old) and applied both a metabarcoding (18S-V9 rRNA, diat-rbcL) and a metagenomic shotgun approach to (i) compare eukaryote, especially diatom, composition, and (ii) assess sequence length and database related biases. Eukaryote composition differed considerably between shotgun and metabarcoding data, which was related to differences in read lengths (~112 and ~161 bp, respectively), and overamplification of short reads in metabarcoding data. Diatom composition was influenced by reference bias that was exacerbated in metabarcoding data and characterised by increased representation of Chaetoceros, Thalassiosira and Pseudo-nitzschia. Our results are relevant to sedaDNA studies aiming to accurately characterise paleo-ecosystems from either metabarcoding or metagenomic data.

Identifiers

PMID36755065
PMCPMC9723766

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.