Evidence map›Paper›PMID 20142485›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2010

Molecular complexity of successive bacterial epidemics deconvoluted by comparative pathogenomics.

Stephen B Beres, Ronan K Carroll, Patrick R Shea, Izabela Sitkiewicz, Juan Carlos Martinez-Gutierrez, Donald E Low, Allison McGeer, Barbara M Willey, Karen Green, Gregory J Tyrrell and 8 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed
20.0field-weighted citation impact, top 1% 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

107 citing papers in PubMed, 167 citations in OpenAlex.

  1. Article
  2. Sudden re-emergence ofNew microbes and new infections · 2026
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  5. Evaluating the use of whole-genome sequencing and SangerJournal of medical microbiology · 2026
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  12. Review
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  16. Article
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  18. Article
  19. Population Genomics ofmSystems · 2021
    Article
  20. Article

47 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

18 authors at 8 institutions in 2 countries.

Stephen B BeresDepartment of Pathology, The Methodist Hospital, Center for Molecular and Translational Human Infectious Diseases Research, The Methodist Hospital Research Institute, Houston, TX 77030, USA.
Ronan K Carroll
Patrick R Shea
Izabela Sitkiewicz
Juan Carlos Martinez-Gutierrez
Donald E Low
Allison McGeer
Barbara M Willey
Karen Green
Gregory J Tyrrell
Thomas D Goldman
Michael Feldgarden
Bruce W Birren
Yuriy Fofanov
John Boos
William D Wheaton
Christiane Honisch
James M Musser
Methodist Hospital · USMount Sinai Hospital · CAHouston Methodist · USMassachusetts Institute of Technology · USRTI International · USSequenom (United States) · USUniversity of Houston · USUniversity of Toronto · CA

Funding

NIAID NIH HHS HHSN272200900007C
6 · The paper itself

Abstract

Understanding the fine-structure molecular architecture of bacterial epidemics has been a long-sought goal of infectious disease research. We used short-read-length DNA sequencing coupled with mass spectroscopy analysis of SNPs to study the molecular pathogenomics of three successive epidemics of invasive infections involving 344 serotype M3 group A Streptococcus in Ontario, Canada. Sequencing the genome of 95 strains from the three epidemics, coupled with analysis of 280 biallelic SNPs in all 344 strains, revealed an unexpectedly complex population structure composed of a dynamic mixture of distinct clonally related complexes. We discovered that each epidemic is dominated by micro- and macrobursts of multiple emergent clones, some with distinct strain genotype-patient phenotype relationships. On average, strains were differentiated from one another by only 49 SNPs and 11 insertion-deletion events (indels) in the core genome. Ten percent of SNPs are strain specific; that is, each strain has a unique genome sequence. We identified nonrandom temporal-spatial patterns of strain distribution within and between the epidemic peaks. The extensive full-genome data permitted us to identify genes with significantly increased rates of nonsynonymous (amino acid-altering) nucleotide polymorphisms, thereby providing clues about selective forces operative in the host. Comparative expression microarray analysis revealed that closely related strains differentiated by seemingly modest genetic changes can have significantly divergent transcriptomes. We conclude that enhanced understanding of bacterial epidemics requires a deep-sequencing, geographically centric, comparative pathogenomics strategy.

Indexed as

Disease OutbreaksGenome, BacterialBiological EvolutionCodon, TerminatorGenotypeHumansMass SpectrometryOligonucleotide Array Sequence AnalysisOntarioPhenotypePhylogenyPolymorphism, Single NucleotideStreptococcal InfectionsStreptococcus pyogenesVirulenceCodon, Terminator

Identifiers

PMID20142485
PMCPMC2840111
OpenAlexW2002114667

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.