Evidence map›Paper›PMID 42447203›Full record

ArticlePloS one2026

Molecular diversity of deep-sea fishes (Actinopterygii: Teleostei) in the western South Atlantic: A high diversity and new findings revealed by DNA barcoding.

Heloísa De Cia Caixeta, Claudio Oliveira, Marcelo Roberto Souto de Melo

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Heloísa De Cia CaixetaInstituto Oceanográfico da Universidade de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-0187-5074
Claudio OliveiraInstituto de Biociências da Universidade Estadual Paulista 'Júlio de Mesquita Filho', Botucatu, Brazil.
Marcelo Roberto Souto de MeloInstituto Oceanográfico da Universidade de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-4757-8286

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The deep sea hosts approximately 15% of all fish species, but the difficulty of sampling limits our knowledge, causing large gaps in geographic distribution, and many deep-sea fish groups still require taxonomic revisions. Herein, the deep-sea fishes collected in the southern Brazil, western South Atlantic, are studied through DNA barcoding resulting in a better understanding of the biodiversity and genetic diversity of the region. The samples were obtained during oceanographic cruises aboard the Brazilian R/V Alpha Crucis, focusing on the continental slope off southern Brazil at depths of 200-1,500 meters. A total of 170 sequences of actinopterygian fishes from 102 different species of 49 families and 19 orders were generated. The DNA barcoding identified 84 sequences at the species level, with the remaining being identified at least to the genus level. A high level of genetic divergence between species was observed, ranging from 3.9% to 36.7%. We provided the first COI sequences for 13 species that, to date, were not represented in databases. Among the species already represented in online databases with COI sequences, we expanded the geographic coverage of existing data. As a result, we increased representation for 16 species in the Atlantic, 26 species in the South Atlantic, and 28 species in the western South Atlantic. Our efforts revealed a diverse deep-sea fish fauna in the region, highlighting new occurrences and demonstrating a high genetic divergence between some taxa.

Indexed as

FishesGenetic VariationAnimal DistributionAnimalsAtlantic OceanBiodiversityBrazilDNA Barcoding, TaxonomicPhylogeny

Identifiers

PMID42447203
PMCPMC13367907

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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.