Evidence map›Paper›PMID 36287893›Full record

ArticleToxics2022

Unravelling the Portuguese Coastal and Transitional Waters' Microbial Resistome as a Biomarker of Differential Anthropogenic Impact.

Bernardo Duarte, Andreia Figueiredo, Patrício Ramalhosa, João Canning-Clode, Isabel Caçador, Vanessa F Fonseca

Open access · goldAbstract read
In one paragraph

Article in Toxics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 2 institutions in 2 countries.

Bernardo DuarteMARE-Marine and Environmental Sciences Centre and ARNET-Aquatic Research Infrastructure Network Associated Laboratory, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.ORCID 0000-0003-1914-7435
Andreia FigueiredoDepartamento de Biologia Vegetal, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal.ORCID 0000-0001-8156-7700
Patrício RamalhosaMARE-Marine and Environmental Sciences Centre and ARNET-Aquatic Research Infrastructure Network Associated Laboratory, Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação (ARDITI), Edifício Madeira Tecnopolo Piso 0, Caminho da Penteada, 9020-105 Funchal, Portugal.ORCID 0000-0002-2355-9638
João Canning-ClodeMARE-Marine and Environmental Sciences Centre and ARNET-Aquatic Research Infrastructure Network Associated Laboratory, Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação (ARDITI), Edifício Madeira Tecnopolo Piso 0, Caminho da Penteada, 9020-105 Funchal, Portugal.ORCID 0000-0003-2143-6535
Isabel CaçadorMARE-Marine and Environmental Sciences Centre and ARNET-Aquatic Research Infrastructure Network Associated Laboratory, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.
Vanessa F FonsecaMARE-Marine and Environmental Sciences Centre and ARNET-Aquatic Research Infrastructure Network Associated Laboratory, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.ORCID 0000-0002-6374-1194
University of Lisbon · PTMadeira Tecnopolo · PT

Funding

STUDIES IN MATHEMATICS AND STATISTICSZ01CT000024 · CIT · COMPUTER RESEARCH AND TECHNOLOGY · PI WEISS, GEORGE H · 1985 to 2008
$408k
European Regional Development Fund M1420-01-0145-FEDER-000001European Union UE-contract-287589Fundação para a Ciência e Tecnologia 2021.00244.CEECINDFundação para a Ciência e Tecnologia CEECIND/00511/2017Fundação para a Ciência e Tecnologia CEECINST/00098/2018Fundação para a Ciência e Tecnologia LA/P/0069/2020Fundação para a Ciência e Tecnologia UIDB/04292/2020Fundação para a Ciência e Tecnologia UIDP/04046/2020Intramural NIH HHS Z01 CT000024
6 · The paper itself

Abstract

Portugal mainland and Atlantic archipelagos (Madeira and Azores) provide a wide array of coastal ecosystems with varying typology and degrees of human pressure, which shape the microbial communities thriving in these habitats, leading to the development of microbial resistance traits. The samples collected on the Portuguese northeast Atlantic coast waters show an unequivocal prevalence of Bacteria over Archaea with a high prevalence of Proteobacteria, Cyanobacteria, Bacteroidetes and Actinobacteria. Several taxa, such as the

Indexed as

anthropogenic pollutionocean metagenomesresistance genesresistome

Identifiers

PMID36287893
PMCPMC9612280
OpenAlexW4306404436

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.