Evidence map›Paper›PMID 32341475›Full record

ArticleThe ISME journal2020

Allelic polymorphism shapes community function in evolving Pseudomonas aeruginosa populations.

Sheyda Azimi, Aled E L Roberts, Shengyun Peng, Joshua S Weitz, Alan McNally, Samuel P Brown, Stephen P Diggle

Open access · bronzeAbstract read
In one paragraph

Article in The ISME journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

36 citing papers in PubMed, 65 citations in OpenAlex.

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  20. 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

7 authors at 3 institutions in 2 countries.

Sheyda AzimiCenter for Microbial Dynamics & Infection, Georgia Institute of Technology, Atlanta, GA, USA.
Aled E L RobertsMicrobiology & Infectious Diseases Group, Institute of Life Science, Swansea University Medical School, Swansea, UK.
Shengyun PengSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
Joshua S WeitzCenter for Microbial Dynamics & Infection, Georgia Institute of Technology, Atlanta, GA, USA.ORCID http://orcid.org/0000-0002-3433-8312
Alan McNallyInstitute of Microbiology and Infection, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0002-3099-630X
Samuel P BrownCenter for Microbial Dynamics & Infection, Georgia Institute of Technology, Atlanta, GA, USA.ORCID http://orcid.org/0000-0003-1892-9275
Stephen P DiggleCenter for Microbial Dynamics & Infection, Georgia Institute of Technology, Atlanta, GA, USA. stephen.diggle@biosci.gatech.edu.
Georgia Institute of Technology · USSwansea University · GBUniversity of Birmingham · GB

Funding

Bacterial regulatory evolution during adaptation to chronic infectionsR56HL142857 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI BROWN, SAMUEL PAUL · 2018 to 2018
$501k
NHLBI NIH HHS R56 HL142857
6 · The paper itself

Abstract

Pseudomonas aeruginosa is an opportunistic pathogen that chronically infects the lungs of individuals with cystic fibrosis (CF) by forming antibiotic-resistant biofilms. Emergence of phenotypically diverse isolates within CF P. aeruginosa populations has previously been reported; however, the impact of heterogeneity on social behaviors and community function is poorly understood. Here we describe how this heterogeneity impacts on behavioral traits by evolving the strain PAO1 in biofilms grown in a synthetic sputum medium for 50 days. We measured social trait production and antibiotic tolerance, and used a metagenomic approach to analyze and assess genomic changes over the duration of the evolution experiment. We found that (i) evolutionary trajectories were reproducible in independently evolving populations; (ii) over 60% of genomic diversity occurred within the first 10 days of selection. We then focused on quorum sensing (QS), a well-studied P. aeruginosa trait that is commonly mutated in strains isolated from CF lungs. We found that at the population level, (i) evolution in sputum medium selected for decreased the production of QS and QS-dependent traits; (ii) there was a significant correlation between lasR mutant frequency, the loss of protease, and the 3O-C12-HSL signal, and an increase in resistance to clinically relevant β-lactam antibiotics, despite no previous antibiotic exposure. Overall, our findings provide insights into the effect of allelic polymorphism on community functions in diverse P. aeruginosa populations. Further, we demonstrate that P. aeruginosa population and evolutionary dynamics can impact on traits important for virulence and can lead to increased tolerance to β-lactam antibiotics.

Indexed as

Cystic FibrosisPseudomonas InfectionsBiofilmsHumansPseudomonas aeruginosaQuorum SensingVirulence

Identifiers

PMID32341475
PMCPMC7368067
OpenAlexW3020619111

What OpenQuestion holds

Textmetadata
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.