Evidence map›Paper›PMID 26038455›Full record

ArticleEmerging microbes & infections2013

Integrated whole-genome sequencing and temporospatial analysis of a continuing Group A Streptococcus epidemic.

Nahuel Fittipaldi, Gregory J Tyrrell, Donald E Low, Irene Martin, David Lin, Kumar L Hari, James M Musser

Abstract read
In one paragraph

Article in Emerging microbes & infections, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
  2. A Review ofPathogens (Basel, Switzerland) · 2021
    Review
  3. Article
  4. Canada-Wide Epidemic ofOpen forum infectious diseases · 2018
    Article
  5. Observational
  6. Article
  7. Article
  8. Article
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  10. Article
  11. Article
  12. Article
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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

7 authors.

Nahuel FittipaldiDepartment of Pathology and Genomic Medicine, The Methodist Hospital, and Center for Molecular and Translational Human Infectious Disease Research, The Methodist Hospital Research Institute , Houston, TX 77030, USA.
Gregory J TyrrellDepartment of Laboratory Medicine and Pathology, University of Alberta, and Provincial Laboratory for Public Health (Microbiology) , Edmonton, Alberta T6G 2J2, Canada.
Donald E LowDepartment of Laboratory Medicine and Pathobiology, University of Toronto and Department of Microbiology, Mount Sinai Hospital , Toronto, Ontario M5G 1X5, Canada.
Irene MartinNational Microbiology Laboratory, Public Health Agency of Canada , Winnipeg, Manitoba R3E 3R2, Canada.
David LincBio Inc. , Fremont, CA 94536, USA.
Kumar L HaricBio Inc. , Fremont, CA 94536, USA.
James M MusserDepartment of Pathology and Genomic Medicine, The Methodist Hospital, and Center for Molecular and Translational Human Infectious Disease Research, The Methodist Hospital Research Institute , Houston, TX 77030, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of microbial epidemics has been revolutionized by whole-genome sequencing. We recently sequenced the genomes of 601 type emm59 Group A Streptococcus (GAS) organisms responsible for an ongoing epidemic of invasive infections in Canada and some of the United States. The epidemic has been caused by the emergence of a genetically distinct, hypervirulent clone that has genetically diversified. The ease of obtaining genomic data contrasts with the relatively difficult task of translating them into insightful epidemiological information. Here, we sequenced the genomes of 90 additional invasive Canadian emm59 GAS organisms, including 80 isolated recently in 2010-2011. We used an improved bioinformatics pipeline designed to rapidly process and analyze whole-genome data and integrate strain metadata. We discovered that emm59 GAS organisms are undergoing continued multiclonal evolutionary expansion. Previously identified geographic patterns of strain dissemination are being diluted as mixing of subclones over time and space occurs. Our integrated data analysis strategy permits prompt and accurate mapping of the dissemination of bacterial organisms in an epidemic wave, permitting rapid generation of hypotheses that inform public health and virulence studies.

Indexed as

bacterial epidemicsCanadagroup A Streptococcusinvasive diseaseUnited Stateswhole-genome sequencing

Identifiers

PMID26038455
PMCPMC3630956

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.