Evidence map›Paper›PMID 41065433›Full record

ReviewJournal of bacteriology2025

Compositional analysis of bacterial peptidoglycan: insights from peptidoglycomics into structure and function.

Erin M Anderson, Dyanne Brewer, Matthew T Sorbara, Cezar M Khursigara

Abstract readReview
In one paragraph

Review in Journal of bacteriology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. ThebioRxiv : the preprint server for biology · 2025
    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

4 authors.

Erin M AndersonDepartment of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada.ORCID 0009-0003-9006-1818
Dyanne BrewerMass Spectrometry Facility, Advanced Analysis Centre, University of Guelph, Guelph, Ontario, Canada.
Matthew T SorbaraDepartment of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada.
Cezar M KhursigaraDepartment of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada.ORCID 0000-0001-9263-7604

Funding

Natural Sciences and Engineering Research Council of Canada 371639
6 · The paper itself

Abstract

Peptidoglycan (PG) is a critical component of bacterial cell walls that stabilizes the cell membrane while performing diverse physiological roles. It consists of a polysaccharide backbone cross-linked by peptide side chains forming a lattice-like sacculus that encases the entire cell. The fundamental structural component known as a muropeptide is well characterized, although modifications to this structure are common and often linked to specific physiological functions. Recent advancements in mass spectrometry and bioinformatics now facilitate a detailed examination of the global composition of this essential biopolymer. We can deepen our understanding of its dynamic roles by employing peptidoglycomics to analyze how PG composition changes in response to physiological or environmental stimuli. This minireview will discuss the key physiological functions of peptidoglycan, introduce the peptidoglycomic approach, and highlight research where an omics-based perspective could significantly benefit future studies. By enabling a comprehensive, sensitive, and non-biased detection of PG modifications, peptidoglycomics provides a powerful lens to uncover novel structural variants and functional insights that were previously inaccessible using classical methodologies.

Indexed as

BacteriaPeptidoglycanCell WallPeptidoglycanbacterial cell wallbioinformatic analysismass spectrometrypeptidoglycanpeptidoglycomics

Identifiers

PMID41065433
PMCPMC12632261

What OpenQuestion holds

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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.