Evidence map›Paper›PMID 31720128›Full record

ArticlePeerJ2019

Chronic trace metals effects of mine tailings on estuarine assemblages revealed by environmental DNA.

Angelo F Bernardino, Fabiano S Pais, Louisi S Oliveira, Fabricio A Gabriel, Tiago O Ferreira, Hermano M Queiroz, Ana Carolina A Mazzuco

Abstract read
In one paragraph

Article in PeerJ, 2019. 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.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Genes · 2022
    Article
  9. Article
  10. 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

7 authors.

Angelo F BernardinoGrupo de Ecologia Bentônica, Department of Oceanography, Universidade Federal do Espírito Santo, Vitoria, Espirito Santo, Brazil.ORCID 0000-0002-1838-4597
Fabiano S PaisInstituto René Rachou, FIOCRUZ/Minas, Belo Horizonte, Minas Gerais, Brazil.
Louisi S OliveiraGrupo de Ecologia Bentônica, Department of Oceanography, Universidade Federal do Espírito Santo, Vitoria, Espirito Santo, Brazil.
Fabricio A GabrielGrupo de Ecologia Bentônica, Department of Oceanography, Universidade Federal do Espírito Santo, Vitoria, Espirito Santo, Brazil.
Tiago O FerreiraEscola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Piracicaba, São Paulo, Brazil.ORCID 0000-0002-4088-7457
Hermano M QueirozEscola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Piracicaba, São Paulo, Brazil.
Ana Carolina A MazzucoGrupo de Ecologia Bentônica, Department of Oceanography, Universidade Federal do Espírito Santo, Vitoria, Espirito Santo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mine tailing disasters have occurred worldwide and contemporary release of tailings of large proportions raise concerns of the chronic impacts that trace metals may have on the aquatic biodiversity. Environmental metabarcoding (eDNA) offers an as yet poorly explored opportunity for biological monitoring of impacted aquatic ecosystems from mine tailings and contaminated sediments. eDNA has been increasingly recognized to be an effective method to detect previously unrecognized small-sized Metazoan taxa, but their ecological responses to environmental pollution has not been assessed by metabarcoding. Here, we evaluated chronic effects of trace metal contamination from sediment eDNA of the Rio Doce estuary, 1.7 years after the Samarco mine tailing disaster, which released over 40 million m

Indexed as

BenthosDoceEstuaryImpactsMeiofaunaPollutionRioSamarco

Identifiers

PMID31720128
PMCPMC6842558

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.