Evidence map›Paper›PMID 31848306›Full record

ArticlemSystems2019

Native Plasmid-Encoded Mercury Resistance Genes Are Functional and Demonstrate Natural Transformation in Environmental Bacterial Isolates.

Ankita Kothari, Drishti Soneja, Albert Tang, Hans K Carlson, Adam M Deutschbauer, Aindrila Mukhopadhyay

Open access · goldAbstract read
In one paragraph

Article in mSystems, 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
0.9field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Article
  9. ComprehensiveMicrobial genomics · 2021
    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

6 authors at 2 institutions in 1 country.

Ankita KothariBiological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, California, USA.ORCID https://orcid.org/0000-0002-6241-5821
Drishti SonejaBiological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Albert TangBiological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Hans K CarlsonDepartment of Plant and Microbial Biology, University of California, Berkeley, California, USA.ORCID https://orcid.org/0000-0002-1583-5313
Adam M DeutschbauerDepartment of Plant and Microbial Biology, University of California, Berkeley, California, USA.ORCID https://orcid.org/0000-0003-2728-7622
Aindrila MukhopadhyayBiological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, California, USA amukhopadhyay@lbl.gov.ORCID https://orcid.org/0000-0002-6513-7425
Lawrence Berkeley National Laboratory · USUniversity of California, Berkeley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plasmid-mediated horizontal gene transfer (HGT) is a major driver of genetic diversity in bacteria. We experimentally validated the function of a putative mercury resistance operon present on an abundant 8-kbp native plasmid found in groundwater samples without detectable levels of mercury. Phylogenetic analyses of the plasmid-encoded mercury reductases from the studied groundwater site show them to be distinct from those reported in proximal metal-contaminated sites. We synthesized the entire native plasmid and demonstrated that the plasmid was sufficient to confer functional mercury resistance in

Indexed as

horizontal gene transfermercury resistancemercury tolerancemetal resistancenatural competencenatural transformationplasmid

Identifiers

PMID31848306
PMCPMC6918032
OpenAlexW2994920686

What OpenQuestion holds

Textmetadata
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.