Evidence map›Paper›PMID 32644999›Full record

ArticlePLoS genetics2020

Impact of insertion sequences on convergent evolution of Shigella species.

Jane Hawkey, Jonathan M Monk, Helen Billman-Jacobe, Bernhard Palsson, Kathryn E Holt

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Exploring the IS-capades ofMicrobial genomics · 2026
    Article
  7. Article
  8. Genomic and epidemiological characteristics ofPathogens and global health · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Review
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  14. Article
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  16. Review
  17. Article
  18. Article
  19. Article
  20. A Tale aboutMicroorganisms · 2023
    Review
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

5 authors at 4 institutions in 3 countries.

Jane HawkeyDepartment of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0001-9661-5293
Jonathan M MonkDepartment of Bioengineering, University of California, San Diego, San Diego, California, United States of America.ORCID 0000-0002-3895-8949
Helen Billman-JacobeFaculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0001-5713-4657
Bernhard PalssonDepartment of Bioengineering, University of California, San Diego, San Diego, California, United States of America.ORCID 0000-0003-2357-6785
Kathryn E HoltDepartment of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0003-3949-2471
University of California San Diego · USMonash University · AUThe University of Melbourne · AUUniversity of London · GB

Funding

Systems Biology Approach to Redefine Susceptibility Testing and Treatment of MDR Pathogens in the Context of Host ImmunityU01AI124316 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 2016 to 2020
$10.2M
NIAID NIH HHS U01 AI124316
6 · The paper itself

Abstract

Shigella species are specialised lineages of Escherichia coli that have converged to become human-adapted and cause dysentery by invading human gut epithelial cells. Most studies of Shigella evolution have been restricted to comparisons of single representatives of each species; and population genomic studies of individual Shigella species have focused on genomic variation caused by single nucleotide variants and ignored the contribution of insertion sequences (IS) which are highly prevalent in Shigella genomes. Here, we investigate the distribution and evolutionary dynamics of IS within populations of Shigella dysenteriae Sd1, Shigella sonnei and Shigella flexneri. We find that five IS (IS1, IS2, IS4, IS600 and IS911) have undergone expansion in all Shigella species, creating substantial strain-to-strain variation within each population and contributing to convergent patterns of functional gene loss within and between species. We find that IS expansion and genome degradation are most advanced in S. dysenteriae and least advanced in S. sonnei; and using genome-scale models of metabolism we show that Shigella species display convergent loss of core E. coli metabolic capabilities, with S. sonnei and S. flexneri following a similar trajectory of metabolic streamlining to that of S. dysenteriae. This study highlights the importance of IS to the evolution of Shigella and provides a framework for the investigation of IS dynamics and metabolic reduction in other bacterial species.

Indexed as

Evolution, MolecularDNA, BacterialDNA Transposable ElementsDysenteryEscherichia coliGenome, BacterialHumansShigella dysenteriaeDNA, BacterialDNA Transposable Elements

Identifiers

PMID32644999
PMCPMC7373316
OpenAlexW3040765146

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.