Evidence map›Paper›PMID 42094565›Full record

ArticlebioRxiv : the preprint server for biology2026

High-depth whole genome sequencing of blood culture plates reveals evolutionary dynamics in cases of persistent bacteremia due to methicillin-resistant

Emma G Mills, Leah M Grady, Edwin Chen, Marla G Shaffer, Ryan K Shields, Daria Van Tyne, Matthew J Culyba

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Emma G MillsDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Leah M GradyDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Edwin ChenDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.ORCID 0000-0003-2477-3537
Marla G ShafferDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Ryan K ShieldsDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.ORCID 0000-0001-9794-5665
Daria Van TyneDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.ORCID 0000-0001-7284-0103
Matthew J CulybaDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.ORCID 0000-0001-8327-4135

Funding

Determining the mechanisms that cause persistent MRSA bloodstream infection by tracking in-host evolutionR21AI166581 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CULYBA, MATTHEW J · 2022 to 2023
$437k
NIAID NIH HHS R21 AI166581
6 · The paper itself

Abstract

Within a single bacterial strain, DNA sequence variation is expected between individual clones. Whole genome sequencing (WGS) can be applied to clinical cultures to detect this polyclonal variation, enabling tracking of within-host evolution and transmission. Culture isolates from infected patients are often sequenced as individual colonies (c-seq). To increase the sensitivity of variant detection, cultures can also be sequenced to a high depth of coverage as a pool (p-seq), but the utility of this approach is not clear for most clinical specimens. To understand the performance of high-depth WGS in bacteremia, we applied p-seq to blood culture plates for 10 patients with persistent bacteremia due to methicillin-resistant

Indexed as

bacteremiaMRSApopulation sequencingStaphylococcus aureuswhole genome sequencingwithin-host evolution

Identifiers

PMID42094565
PMCPMC13142475

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.