Evidence map›Paper›PMID 27618184›Full record

ArticlePLoS genetics2016

Combined Analysis of Variation in Core, Accessory and Regulatory Genome Regions Provides a Super-Resolution View into the Evolution of Bacterial Populations.

Alan McNally, Yaara Oren, Darren Kelly, Ben Pascoe, Steven Dunn, Tristan Sreecharan, Minna Vehkala, Niko Välimäki, Michael B Prentice, Amgad Ashour and 11 more

Abstract read
In one paragraph

Article in PLoS genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 2 pooled it
–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

119 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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  14. Antibiotics (Basel, Switzerland) · 2025
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59 more citing papers are in PubMed but not listed here.

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

21 authors.

Alan McNallyPathogen Research Group, Nottingham Trent University, Nottingham, United Kingdom.
Yaara OrenDepartment of Cell Research and Immunology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Darren KellyDepartment of Biology, National University Ireland, Maynooth, Ireland.
Ben PascoeCollege of Medicine, University of Swansea, Swansea, United Kingdom.ORCID 0000-0001-6376-5121
Steven DunnPathogen Research Group, Nottingham Trent University, Nottingham, United Kingdom.ORCID 0000-0003-1529-6900
Tristan SreecharanPathogen Research Group, Nottingham Trent University, Nottingham, United Kingdom.
Minna VehkalaDepartment of Mathematics and Statistics, University of Helsinki, Helsinki, Finland.
Niko VälimäkiDepartment of Mathematics and Statistics, University of Helsinki, Helsinki, Finland.
Michael B PrenticeDepartments of Pathology and Microbiology, University College Cork, Cork, Ireland.
Amgad AshourDepartments of Pathology and Microbiology, University College Cork, Cork, Ireland.
Oren AvramDepartment of Cell Research and Immunology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Tal PupkoDepartment of Cell Research and Immunology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Ulrich DobrindtInstitute of Hygiene, Universitat Muenster, Muenster, Germany.ORCID 0000-0001-9949-1898
Ivan LiterakDepartment of Biology and Wildlife Diseases, Faculty of Veterinary Hygiene and Ecology, and CEITEC VFU, University of Veterinary and Pharmaceutical Sciences, Brno, Czech Republic.
Sebastian GuentherCentre for Infection Medicine, Institute of Microbiology and Epizootics, Freie Universitat, Berlin, Germany.
Katharina SchauflerCentre for Infection Medicine, Institute of Microbiology and Epizootics, Freie Universitat, Berlin, Germany.
Lothar H WielerCentre for Infection Medicine, Institute of Microbiology and Epizootics, Freie Universitat, Berlin, Germany.
Zong ZhiyongCentre for Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China.
Samuel K SheppardCollege of Medicine, University of Swansea, Swansea, United Kingdom.
James O McInerneyDepartment of Biology, National University Ireland, Maynooth, Ireland.ORCID 0000-0003-1885-2503
Jukka CoranderDepartment of Mathematics and Statistics, University of Helsinki, Helsinki, Finland.

Funding

European Research Council 239784Medical Research Council G0801929Medical Research Council MR/L015080/1
6 · The paper itself

Abstract

The use of whole-genome phylogenetic analysis has revolutionized our understanding of the evolution and spread of many important bacterial pathogens due to the high resolution view it provides. However, the majority of such analyses do not consider the potential role of accessory genes when inferring evolutionary trajectories. Moreover, the recently discovered importance of the switching of gene regulatory elements suggests that an exhaustive analysis, combining information from core and accessory genes with regulatory elements could provide unparalleled detail of the evolution of a bacterial population. Here we demonstrate this principle by applying it to a worldwide multi-host sample of the important pathogenic E. coli lineage ST131. Our approach reveals the existence of multiple circulating subtypes of the major drug-resistant clade of ST131 and provides the first ever population level evidence of core genome substitutions in gene regulatory regions associated with the acquisition and maintenance of different accessory genome elements.

Indexed as

Evolution, MolecularDrug Resistance, MicrobialEscherichia coliEscherichia coli InfectionsGenome, BacterialHumansPhylogenyRegulatory Sequences, Nucleic AcidSequence Analysis, DNA

Identifiers

PMID27618184
PMCPMC5019451

What OpenQuestion holds

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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.