Evidence map›Paper›PMID 27068094›Full record

ArticleInfection and immunity2016

Addiction of Hypertransformable Pneumococcal Isolates to Natural Transformation for In Vivo Fitness and Virulence.

Guiling Li, Zhuowen Liang, Xiatai Wang, Yonghong Yang, Zhujun Shao, Machao Li, Yueyun Ma, Fen Qu, Donald A Morrison, Jing-Ren Zhang

Open access · bronzeAbstract read
In one paragraph

Article in Infection and immunity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

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  10. Diverse conjugative elements silence natural transformation inProceedings of the National Academy of Sciences of the United States of America · 2019
    Article
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  14. ABC transporter content diversity inProceedings of the National Academy of Sciences of the United States of America · 2018
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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

10 authors at 7 institutions in 2 countries.

Guiling LiCenter for Infectious Disease Research, School of Medicine, Tsinghua University, Beijing, China.
Zhuowen LiangXijing Orthopaedics Hospital, Fourth Military Medical University, Xi'an, China.
Xiatai WangCenter for Infectious Disease Research, School of Medicine, Tsinghua University, Beijing, China.
Yonghong YangBeijing Children's Hospital, Capital Medical University, Beijing, China.
Zhujun ShaoState Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Machao LiState Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yueyun MaXijing Orthopaedics Hospital, Fourth Military Medical University, Xi'an, China.
Fen QuThe Center of Clinical Diagnosis, The 302 Hospital of PLA, Beijing, China.
Donald A MorrisonDepartment of Biological Sciences, University of Illinois at Chicago, Chicago, Illinois, USA.
Jing-Ren ZhangCenter for Infectious Disease Research, School of Medicine, Tsinghua University, Beijing, China zhanglab@tsinghua.edu.cn.
Air Force Medical University · CNNational Institute for Communicable Disease Control and Prevention · CNTsinghua University · CN302 Military Hospital of China · CNBeijing Children’s Hospital · CNSichuan University · CNUniversity of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural genetic transformation of Streptococcus pneumoniae, an important human pathogen, mediates horizontal gene transfer for the development of drug resistance, modulation of carriage and virulence traits, and evasion of host immunity. Transformation frequency differs greatly among pneumococcal clinical isolates, but the molecular basis and biological importance of this interstrain variability remain unclear. In this study, we characterized the transformation frequency and other associated phenotypes of 208 S. pneumoniae clinical isolates representing at least 30 serotypes. While the vast majority of these isolates (94.7%) were transformable, the transformation frequency differed by up to 5 orders of magnitude between the least and most transformable isolates. The strain-to-strain differences in transformation frequency were observed among many isolates producing the same capsule types, indicating no general association between transformation frequency and serotype. However, a statistically significant association was observed between the levels of transformation and colonization fitness/virulence in the hypertransformable isolates. Although nontransformable mutants of all the selected hypertransformable isolates were significantly attenuated in colonization fitness and virulence in mouse infection models, such mutants of the strains with relatively low transformability had no or marginal fitness phenotypes under the same experimental settings. This finding strongly suggests that the pneumococci with high transformation capability are "addicted" to a "hypertransformable" state for optimal fitness in the human host. This work has thus provided an intriguing hint for further investigation into how the competence system impacts the fitness, virulence, and other transformation-associated traits of this important human pathogen.

Indexed as

Gene Expression Regulation, BacterialAnimalsDisease Models, AnimalFemaleGene Expression ProfilingGenes, BacterialGenetic FitnessGenetic HeterogeneityHumansImmune EvasionMiceMice, Inbred BALB CNasopharynxPhenotypePneumonia, PneumococcalSerogroup

Identifiers

PMID27068094
PMCPMC4907133
OpenAlexW2320810876

What OpenQuestion holds

Textmetadata
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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.