Evidence map›Paper›PMID 38422100›Full record

ArticlePloS one2024

Assigning the unassigned: A signature-based classification of rDNA metabarcodes reveals new deep-sea diversity.

Inès Barrenechea Angeles, Ngoc-Loi Nguyen, Mattia Greco, Koh Siang Tan, Jan Pawlowski

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Inès Barrenechea AngelesDepartment of Earth Sciences, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-8051-4110
Ngoc-Loi NguyenInstitute of Oceanology, Polish Academy of Sciences, Sopot, Poland.ORCID 0000-0001-9452-4830
Mattia GrecoInstitute of Oceanology, Polish Academy of Sciences, Sopot, Poland.ORCID 0000-0003-2416-6235
Koh Siang TanTropical Marine Science Institute, National University of Singapore, Singapore, Singapore.
Jan PawlowskiInstitute of Oceanology, Polish Academy of Sciences, Sopot, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental DNA metabarcoding reveals a vast genetic diversity of marine eukaryotes. Yet, most of the metabarcoding data remain unassigned due to the paucity of reference databases. This is particularly true for the deep-sea meiofauna and eukaryotic microbiota, whose hidden diversity is largely unexplored. Here, we tackle this issue by using unique DNA signatures to classify unknown metabarcodes assigned to deep-sea foraminifera. We analyzed metabarcoding data obtained from 311 deep-sea sediment samples collected in the Clarion-Clipperton Fracture Zone, an area of potential polymetallic nodule exploitation in the Eastern Pacific Ocean. Using the signatures designed in the 37F hypervariable region of the 18S rRNA gene, we were able to classify 802 unassigned metabarcodes into 61 novel lineages, which have been placed in 27 phylogenetic clades. The comparison of new lineages with other foraminiferal datasets shows that most novel lineages are widely distributed in the deep sea. Five lineages are also present in the shallow-water datasets; however, phylogenetic analysis of these lineages separates deep-sea and shallow-water metabarcodes except in one case. While the signature-based classification does not solve the problem of gaps in reference databases, this taxonomy-free approach provides insight into the distribution and ecology of deep-sea species represented by unassigned metabarcodes, which could be useful in future applications of metabarcoding for environmental monitoring.

Indexed as

DNA, EnvironmentalForaminiferaDatabases, FactualDNA, RibosomalPhylogenyWaterDNA, EnvironmentalDNA, RibosomalWater

Identifiers

PMID38422100
PMCPMC10903905

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Registered trials

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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.