Evidence map›Paper›PMID 37268717›Full record

ArticleCommunications biology2023

Lociq provides a loci-seeking approach for enhanced plasmid subtyping and structural characterization.

Lucas Harrison, Shaohua Zhao, Cong Li, Patrick F McDermott, Gregory H Tyson, Errol Strain

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 60% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Pangenomic Characterization ofPathogens (Basel, Switzerland) · 2025
    Article
  2. Review
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 1 institution in 1 country.

Lucas HarrisonCenter for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, USA. lucas.harrison@fda.hhs.gov.ORCID 0000-0002-8272-3565
Shaohua ZhaoCenter for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, USA.
Cong LiCenter for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, USA.
Patrick F McDermottCenter for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, USA.
Gregory H TysonCenter for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, USA.
Errol StrainCenter for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, USA.
Center for Veterinary Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) monitoring for public health is relying more on whole genome sequencing to characterize and compare resistant strains. This requires new approaches to describe and track AMR that take full advantage of the detailed data provided by genomic technologies. The plasmid-mediated transfer of AMR genes is a primary concern for AMR monitoring because plasmid rearrangement events can integrate new AMR genes into the plasmid backbone or promote hybridization of multiple plasmids. To better monitor plasmid evolution and dissemination, we developed the Lociq subtyping method to classify plasmids by variations in the sequence and arrangement of core plasmid genetic elements. Subtyping with Lociq provides an alpha-numeric nomenclature that can be used to denominate plasmid population diversity and characterize the relevant features of individual plasmids. Here we demonstrate how Lociq generates typing schema to track and characterize the origin, evolution and epidemiology of multidrug resistant plasmids.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialGenomicsPlasmidsWhole Genome SequencingAnti-Bacterial Agents

Identifiers

PMID37268717
PMCPMC10238380
OpenAlexW4379197371

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.