Evidence map›Paper›PMID 39137139›Full record

ArticleMicrobial genomics2024

Development of the Pneumococcal Genome Library, a core genome multilocus sequence typing scheme, and a taxonomic life identification number barcoding system to investigate and define pneumococcal population structure.

Melissa J Jansen van Rensburg, Duncan J Berger, Iman Yassine, David Shaw, Andy Fohrmann, James E Bray, Keith A Jolley, Martin C J Maiden, Angela B Brueggemann

Abstract read
In one paragraph

Article in Microbial genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A mini review of genome-predicted β-lactam susceptibility inFrontiers in cellular and infection microbiology · 2026
    Review
  5. eLife · 2025
    Article
  6. Article
  7. Identification ofJournal of proteome research · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Understanding the population structure ofbioRxiv : the preprint server for biology · 2025
    Article
  13. Article
  14. 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

9 authors.

Melissa J Jansen van RensburgNuffield Department of Population Health, University of Oxford, Oxford, UK.
Duncan J BergerNuffield Department of Population Health, University of Oxford, Oxford, UK.
Iman YassineNuffield Department of Population Health, University of Oxford, Oxford, UK.
David ShawNuffield Department of Population Health, University of Oxford, Oxford, UK.
Andy FohrmannNuffield Department of Population Health, University of Oxford, Oxford, UK.
James E BrayDepartment of Biology, University of Oxford, Oxford, UK.
Keith A JolleyDepartment of Biology, University of Oxford, Oxford, UK.
Martin C J MaidenDepartment of Biology, University of Oxford, Oxford, UK.
Angela B BrueggemannNuffield Department of Population Health, University of Oxford, Oxford, UK.

Funding

Wellcome Trust 206394Wellcome Trust 218205
6 · The paper itself

Abstract

Investigating the genomic epidemiology of major bacterial pathogens is integral to understanding transmission, evolution, colonization, disease, antimicrobial resistance and vaccine impact. Furthermore, the recent accumulation of large numbers of whole genome sequences for many bacterial species enhances the development of robust genome-wide typing schemes to define the overall bacterial population structure and lineages within it. Using the previously published data, we developed the Pneumococcal Genome Library (PGL), a curated dataset of 30 976 genomes and contextual data for carriage and disease pneumococci recovered between 1916 and 2018 in 82 countries. We leveraged the size and diversity of the PGL to develop a core genome multilocus sequence typing (cgMLST) scheme comprised of 1222 loci. Finally, using multilevel single-linkage clustering, we stratified pneumococci into hierarchical clusters based on allelic similarity thresholds and defined these with a taxonomic life identification number (LIN) barcoding system. The PGL, cgMLST scheme and LIN barcodes represent a high-quality genomic resource and fine-scale clustering approaches for the analysis of pneumococcal populations, which support the genomic epidemiology and surveillance of this leading global pathogen.

Indexed as

DNA Barcoding, TaxonomicGenome, BacterialMultilocus Sequence TypingPneumococcal InfectionsStreptococcus pneumoniaeGene LibraryHumansPhylogenyWhole Genome SequencingcgMLSTgenome librarygenotypingpopulation structure

Identifiers

PMID39137139
PMCPMC11321556

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.