Evidence map›Paper›PMID 34582496›Full record

ArticlePloS one2021

Enhanced copper-resistance gene repertoire in Alteromonas macleodii strains isolated from copper-treated marine coatings.

Kathleen Cusick, Ane Iturbide, Pratima Gautam, Amelia Price, Shawn Polson, Madolyn MacDonald, Ivan Erill

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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 at 3 institutions in 2 countries.

Kathleen CusickDepartment of Biological Sciences, University of Maryland Baltimore County, Baltimore, MD, United States of America.ORCID 0000-0001-7224-3472
Ane IturbideUniversitat Oberta de Catalunya, UOC, Barcelona, Spain.
Pratima GautamDepartment of Biological Sciences, University of Maryland Baltimore County, Baltimore, MD, United States of America.
Amelia PriceDepartment of Biological Sciences, University of Maryland Baltimore County, Baltimore, MD, United States of America.
Shawn PolsonCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, United States of America.
Madolyn MacDonaldCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, United States of America.ORCID 0000-0001-5590-1365
Ivan ErillDepartment of Biological Sciences, University of Maryland Baltimore County, Baltimore, MD, United States of America.ORCID 0000-0002-7280-7191
University of Maryland, Baltimore County · USUniversity of Delaware · USUniversitat Oberta de Catalunya · ES

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI Anjana Narayan Bhat · 2012 to 2026
$67.2M
NIGMS NIH HHS P20 GM103446
6 · The paper itself

Abstract

Copper is prevalent in coastal ecosystems due to its use as an algaecide and as an anti-fouling agent on ship hulls. Alteromonas spp. have previously been shown to be some of the early colonizers of copper-based anti-fouling paint but little is known about the mechanisms they use to overcome this initial copper challenge. The main models of copper resistance include the Escherichia coli chromosome-based Cue and Cus systems; the plasmid-based E. coli Pco system; and the plasmid-based Pseudomonas syringae Cop system. These were all elucidated from strains isolated from copper-rich environments of agricultural and/or enteric origin. In this work, copper resistance assays demonstrated the ability of Alteromonas macleodii strains CUKW and KCC02 to grow at levels lethal to other marine bacterial species. A custom database of Hidden Markov Models was designed based on proteins from the Cue, Cus, and Cop/Pco systems and used to identify potential copper resistance genes in CUKW and KCC02. Comparative genomic analyses with marine bacterial species and bacterial species isolated from copper-rich environments demonstrated that CUKW and KCC02 possess genetic elements of all systems, oftentimes with multiple copies, distributed throughout the chromosome and mega-plasmids. In particular, two copies of copA (the key player in cytoplasmic detoxification), each with its own apparent MerR-like transcriptional regulator, occur on a mega-plasmid, along with multiple copies of Pco homologs. Genes from both systems were induced upon exposure to elevated copper levels (100 μM- 3 mM). Genomic analysis identified one of the merR-copA clusters occurs on a genomic island (GI) within the plasmid, and comparative genomic analysis found that either of the merR-copA clusters, which also includes genes coding for a cupredoxin domain-containing protein and an isoprenylcysteine methyltransferase, occurs on a GI across diverse bacterial species. These genomic findings combined with the ability of CUKW and KCC02 to grow in copper-challenged conditions are couched within the context of the genome flexibility of the Alteromonas genus.

Indexed as

Drug Resistance, BacterialAlteromonasAquatic OrganismsBacterial ProteinsChromosomes, BacterialCopperGene Expression ProfilingGene Expression Regulation, BacterialMarkov ChainsPlasmidsSequence Analysis, RNAWhole Genome SequencingBacterial ProteinsCopper

Identifiers

PMID34582496
PMCPMC8478169
OpenAlexW3203439468

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.