Evidence map›Paper›PMID 27821055›Full record

ArticleBMC genomics2016

Babesia microti from humans and ticks hold a genomic signature of strong population structure in the United States.

Giovanna Carpi, Katharine S Walter, Choukri Ben Mamoun, Peter J Krause, Andrew Kitchen, Timothy J Lepore, Ankit Dwivedi, Emmanuel Cornillot, Adalgisa Caccone, Maria A Diuk-Wasser

Abstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Identification ofInfection and immunity · 2024
    Article
  4. Article
  5. Article
  6. Detection of multiple tick-borne pathogens inCurrent research in parasitology & vector-borne diseases · 2023
    Article
  7. Article
  8. The Global Emergence of Human Babesiosis.Pathogens (Basel, Switzerland) · 2021
    Review
  9. Circulation ofPathogens (Basel, Switzerland) · 2021
    Article
  10. Frontiers in microbiology · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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

10 authors.

Giovanna CarpiDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, 06520, USA.
Katharine S WalterDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, 06520, USA.
Choukri Ben MamounDepartment of Internal Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, CT, 06520, USA.
Peter J KrauseDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, 06520, USA.
Andrew KitchenDepartment of Anthropology, University of Iowa, Iowa City, IA, 52242, USA.
Timothy J LeporeNantucket Cottage Hospital, Nantucket, MA, 02554, USA.
Ankit DwivediInstitut de Biologie Computationnelle, University de Montpellier, 34095, Montpellier, Cedex 5, France.
Emmanuel CornillotInstitut de Biologie Computationnelle, University de Montpellier, 34095, Montpellier, Cedex 5, France.
Adalgisa CacconeDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, 06520, USA.
Maria A Diuk-WasserDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, 06520, USA. mad2256@columbia.edu.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Babesiosis Emergence in the United StatesR01GM105246 · NIGMS · YALE UNIVERSITY · PI DIUK-WASSER, MARIA ANA · 2012 to 2016
$2.0M
Development of novel therapeutics for Babesia microti infectionR21AI109486 · NIAID · YALE UNIVERSITY · PI BEN MAMOUN, CHOUKRI · 2014 to 2015
$458k
Probing the natural genomic diversity of Babesia microtiR21AI112938 · NIAID · YALE UNIVERSITY · PI BEN MAMOUN, CHOUKRI, CACCONE, ADALGISA · 2015 to 2016
$458k
NCATS NIH HHS UL1 TR001863NIAID NIH HHS R21 AI109486NIAID NIH HHS R21 AI112938NIGMS NIH HHS R01 GM105246
6 · The paper itself

Abstract

backgroundBabesia microti is an emerging tick-borne apicomplexan parasite with increasing geographic range and incidence in the United States. The rapid expansion of B. microti into its current distribution in the northeastern USA has been due to the range expansion of the tick vector, Ixodes scapularis, upon which the causative agent is dependent for transmission to humans.

resultsTo reconstruct the history of B. microti in the continental USA and clarify the evolutionary origin of human strains, we used multiplexed hybrid capture of 25 B. microti isolates obtained from I. scapularis and human blood. Despite low genomic variation compared with other Apicomplexa, B. microti was strongly structured into three highly differentiated genetic clusters in the northeastern USA. Bayesian analyses of the apicoplast genomes suggest that the origin of the current diversity of B. microti in northeastern USA dates back 46 thousand years with a signature of recent population expansion in the last 1000 years. Human-derived samples belonged to two rarely intermixing clusters, raising the possibility of highly divergent infectious phenotypes in humans.

conclusionsOur results validate the multiplexed hybrid capture strategy for characterizing genome-wide diversity and relatedness of B. microti from ticks and humans. We find strong population structure in B. microti samples from the Northeast indicating potential barriers to gene flow.

Indexed as

Genetics, PopulationGenome, ProtozoanGenomicsAnimalsBabesia microtiBabesiosisBorrelia burgdorferiGenetic VariationHumansPhylogenyPolymorphism, Single NucleotideUnited StatesApicomplexanCoalescent analysisHybrid capturePopulation genomicsTick-borne pathogen

Identifiers

PMID27821055
PMCPMC5100190

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Registered trials

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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.