Evidence map›Paper›PMID 35344092›Full record

ArticleApplied microbiology and biotechnology2022

Highly mercury-resistant strains from different Colombian Amazon ecosystems affected by artisanal gold mining activities.

Gladys Inés Cardona, María Camila Escobar, Alejandro Acosta-González, Patricia Marín, Silvia Marqués

Open access · hybridAbstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Genetic properties of mercury‑tolerant yeast, Pichia kudriavzevii 1P4.International microbiology : the official journal of the Spanish Society for Microbiology · 2025
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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

5 authors at 3 institutions in 2 countries.

Gladys Inés CardonaInstituto Amazónico de Investigaciones Científicas SINCHI, 110321, Bogotá, Colombia. gcardona@sinchi.org.co.ORCID http://orcid.org/0000-0002-6707-7155
María Camila EscobarInstituto Amazónico de Investigaciones Científicas SINCHI, 110321, Bogotá, Colombia.
Alejandro Acosta-GonzálezFaculty of Engineering, Universidad de La Sabana, Chía, Colombia.
Patricia MarínConsejo Superior de Investigaciones Científicas, Estación Experimental del Zaidín, Department of Environmental Protection, Granada, Spain.
Silvia MarquésConsejo Superior de Investigaciones Científicas, Estación Experimental del Zaidín, Department of Environmental Protection, Granada, Spain.
Consejo Superior de Investigaciones Científicas · ESInstituto Sinchi · COUniversidad de La Sabana · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two sites of the Colombian Amazon region with different levels of human intervention and mercury pollution were selected for the collection of samples of river and lake water, sediments, and associated forest soils. The Tarapacá region, affected mainly by barrage mining, showed low mercury concentrations, whilst in the Taraira region, affected by underground mining, there were several points with high mercury pollution levels. A collection of 72 bacterial and 10 yeast strains with different levels of mercury resistance was isolated and characterized. Most of the highly resistant bacterial strains (MIC > 40 mg L

Indexed as

MercuryBacteriaColombiaEcosystemGoldHumansMiningSoilGoldMercurySoilAntibiotic resistanceBacillusBurkholderiaColombian AmazonmerA geneMercuryMethyl mercuryPseudomonas

Identifiers

PMID35344092
PMCPMC8990959
OpenAlexW4220869368

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.