Evidence map›Paper›PMID 21464295›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2011

Dispersal of Mycobacterium tuberculosis via the Canadian fur trade.

Caitlin S Pepperell, Julie M Granka, David C Alexander, Marcel A Behr, Linda Chui, Janet Gordon, Jennifer L Guthrie, Frances B Jamieson, Deanne Langlois-Klassen, Richard Long and 3 more

Abstract readHistorical Article
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

25 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Article
  3. The Many Hosts of Mycobacteria 9 (MHM9): A conference report.Tuberculosis (Edinburgh, Scotland) · 2023
    Article
  4. Distribution and origins ofMicrobial genomics · 2023
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Dispersal ofFrontiers in microbiology · 2019
    Article
  12. Article
  13. Global expansion ofScience advances · 2018
    Article
  14. Article
  15. Molecular Epidemiology of Tuberculosis in British Columbia, Canada: A 10-Year Retrospective Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Comparative genomics of mycobacteria: some answers, yet more new questions.Cold Spring Harbor perspectives in medicine · 2014
    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

13 authors at 6 institutions in 2 countries.

Caitlin S PepperellDivision of Infectious Diseases, Stanford University, Stanford, CA 94305, USA. pepperc@stanford.edu
Julie M Granka
David C Alexander
Marcel A Behr
Linda Chui
Janet Gordon
Jennifer L Guthrie
Frances B Jamieson
Deanne Langlois-Klassen
Richard Long
Dao Nguyen
Wendy Wobeser
Marcus W Feldman
McGill University · CAStanford University · USUniversity of Alberta · CAOffice of Infectious Diseases · USProvincial Laboratory of Public Health · CAQueen's University · CA

Funding

POPULATION GENETICS THEORYR01GM028016 · NIGMS · STANFORD UNIVERSITY · PI FELDMAN, MARCUS W · 1985 to 2010
$2.5M
Population Genetics of M. Tuberculosis During Disease EpidemicsK08AI067458 · NIAID · STANFORD UNIVERSITY · PI PEPPERELL, CAITLIN S · 2006 to 2010
$583k
NIAID NIH HHS 5K08AI67458-2NIAID NIH HHS K08 AI067458NIGMS NIH HHS GM28016NIGMS NIH HHS R01 GM028016
6 · The paper itself

Abstract

Patterns of gene flow can have marked effects on the evolution of populations. To better understand the migration dynamics of Mycobacterium tuberculosis, we studied genetic data from European M. tuberculosis lineages currently circulating in Aboriginal and French Canadian communities. A single M. tuberculosis lineage, characterized by the DS6(Quebec) genomic deletion, is at highest frequency among Aboriginal populations in Ontario, Saskatchewan, and Alberta; this bacterial lineage is also dominant among tuberculosis (TB) cases in French Canadians resident in Quebec. Substantial contact between these human populations is limited to a specific historical era (1710-1870), during which individuals from these populations met to barter furs. Statistical analyses of extant M. tuberculosis minisatellite data are consistent with Quebec as a source population for M. tuberculosis gene flow into Aboriginal populations during the fur trade era. Historical and genetic analyses suggest that tiny M. tuberculosis populations persisted for ∼100 y among indigenous populations and subsequently expanded in the late 19th century after environmental changes favoring the pathogen. Our study suggests that spread of TB can occur by two asynchronous processes: (i) dispersal of M. tuberculosis by minimal numbers of human migrants, during which small pathogen populations are sustained by ongoing migration and slow disease dynamics, and (ii) expansion of the M. tuberculosis population facilitated by shifts in host ecology. If generalizable, these migration dynamics can help explain the low DNA sequence diversity observed among isolates of M. tuberculosis and the difficulties in global elimination of tuberculosis, as small, widely dispersed pathogen populations are difficult both to detect and to eradicate.

Indexed as

TuberculosisCanadaDNA, BacterialEmigration and ImmigrationGene FlowHistory, 17th CenturyHistory, 18th CenturyHistory, 19th CenturyHumansIndians, North AmericanMycobacterium tuberculosisWhite PeopleDNA, Bacterial

Identifiers

PMID21464295
PMCPMC3080970
OpenAlexW1975614633

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.