Evidence map›Paper›PMID 33502519›Full record

ArticleMolecular biology and evolution2021

Pneumococcal Colonization and Virulence Factors Identified Via Experimental Evolution in Infection Models.

Angharad E Green, Deborah Howarth, Chrispin Chaguza, Haley Echlin, R Frèdi Langendonk, Connor Munro, Thomas E Barton, Jay C D Hinton, Stephen D Bentley, Jason W Rosch and 1 more

Open access · goldAbstract read
In one paragraph

Article in Molecular biology and evolution, 2021. 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
2.0field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Transcriptomic analysis ofMicrobial genomics · 2025
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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

11 authors at 3 institutions in 2 countries.

Angharad E GreenDepartment of Clinical Infection, Microbiology and Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom.
Deborah HowarthDepartment of Clinical Infection, Microbiology and Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom.
Chrispin ChaguzaParasites and Microbes Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, United Kingdom.
Haley EchlinDepartment of Infectious Disease, St. Jude Children's Research Hospital, Memphis, TN, USA.
R Frèdi LangendonkDepartment of Clinical Infection, Microbiology and Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom.
Connor MunroDepartment of Clinical Infection, Microbiology and Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom.
Thomas E BartonDepartment of Clinical Infection, Microbiology and Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom.
Jay C D HintonDepartment of Clinical Infection, Microbiology and Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom.
Stephen D BentleyParasites and Microbes Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, United Kingdom.
Jason W RoschDepartment of Infectious Disease, St. Jude Children's Research Hospital, Memphis, TN, USA.
Daniel R NeillDepartment of Clinical Infection, Microbiology and Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom.ORCID 0000-0002-7911-8153
University of Liverpool · GBSt. Jude Children's Research Hospital · USWellcome Sanger Institute · GB

Funding

Predicting the emergence of antibiotic resistance through multi-omics approaches and Immune System-surveillanU01AI124302 · NIAID · BOSTON COLLEGE · PI BENTO, JOSE, COOPER, VAUGHN · 2016 to 2020
$10.2M
Pneumococcal pathogenesis in sickle cell diseaseR01AI110618 · NIAID · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI ROSCH, JASON W. · 2015 to 2019
$2.2M
Medical Research Council MR/R003076/1NIAID NIH HHS R01 AI110618NIAID NIH HHS U01 AI124302Wellcome TrustWellcome Trust 106914/Z/15/ZWellcome Trust 204457/Z/16/Z
6 · The paper itself

Abstract

Streptococcus pneumoniae is a commensal of the human nasopharynx and a major cause of respiratory and invasive disease. We examined adaptation and evolution of pneumococcus, within nasopharynx and lungs, in an experimental system where the selective pressures associated with transmission were removed. This was achieved by serial passage of pneumococci, separately, in mouse models of nasopharyngeal carriage or pneumonia. Passaged pneumococci became more effective colonizers of the respiratory tract and we observed several examples of potential parallel evolution. The cell wall-modifying glycosyltransferase LafA was under strong selection during lung passage, whereas the surface expressed pneumococcal vaccine antigen gene pvaA and the glycerol-3-phosphate dehydrogenase gene gpsA were frequent targets of mutation in nasopharynx-passaged pneumococci. These mutations were not identified in pneumococci that were separately evolved by serial passage on laboratory agar. We focused on gpsA, in which the same single nucleotide polymorphism arose in two independently evolved nasopharynx-passaged lineages. We describe a new role for this gene in nasopharyngeal carriage and show that the identified single nucleotide change confers resistance to oxidative stress and enhanced nasopharyngeal colonization potential. We demonstrate that polymorphisms in gpsA arise and are retained during human colonization. These findings highlight how within-host environmental conditions can determine trajectories of bacterial evolution. Relative invasiveness or attack rate of pneumococcal lineages may be defined by genes that make niche-specific contributions to bacterial fitness. Experimental evolution in animal infection models is a powerful tool to investigate the relative roles played by pathogen virulence and colonization factors within different host niches.

Indexed as

Biological EvolutionAdaptation, BiologicalAnimalsFemaleGenome, BacterialHumansLungMiceNasopharynxPneumococcal InfectionsRandom AllocationStreptococcus pneumoniaeVirulence FactorsVirulence Factorsexperimental evolutionin-host adaptationmicrobial evolutionpathogensrespiratory infectionStreptococcus pneumoniae

Identifiers

PMID33502519
PMCPMC8136498
OpenAlexW3125626483

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.