Evidence map›Paper›PMID 25567933›Full record

ArticleEvolutionary applications2010

Cryptic vector divergence masks vector-specific patterns of infection: an example from the marine cycle of Lyme borreliosis.

Elena Gómez-Díaz, Paul F Doherty, David Duneau, Karen D McCoy

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2010. 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
4.7field-weighted citation impact, top 5% 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, 74 citations in OpenAlex.

  1. Article
  2. Review
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  4. A crucial nexus: PhylogeneticCurrent research in parasitology & vector-borne diseases · 2024
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  5. Article
  6. Review
  7. Disease-structuredEcology and evolution · 2019
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Population structure of the soft tickInternational journal for parasitology. Parasites and wildlife · 2017
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

4 authors at 4 institutions in 3 countries.

Elena Gómez-DíazGénétique et Évolution des Maladies Infectieuses UMR CNRS/IRD 2724, Montpellier, France.
Paul F DohertyDepartment of Fish, Wildlife, and Conservation Biology, Colorado State University Fort Collins, CO, USA.
David DuneauZoologisches Institut, Evolutionsbiologie, Universität Basel Basel, Switzerland.
Karen D McCoyGénétique et Évolution des Maladies Infectieuses UMR CNRS/IRD 2724, Montpellier, France.
Centre National de la Recherche Scientifique · FRColorado State University · USMaladies Infectieuses et Vecteurs: Écologie, Génétique, Évolution et Contrôle · FRUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vector organisms are implicated in the transmission of close to a third of all infectious diseases. In many cases, multiple vectors (species or populations) can participate in transmission but may contribute differently to disease ecology and evolution. The presence of cryptic vector populations can be particularly problematic as differences in infection can be difficult to evaluate and may lead to erroneous evolutionary and epidemiological inferences. Here, we combine site-occupancy modeling and molecular assays to evaluate patterns of infection in the marine cycle of Lyme borreliosis, involving colonial seabirds, the tick Ixodes uriae, and bacteria of the Borrelia burgdorferi s.l. complex. In this cycle, the tick vector consists of multiple, cryptic (phenotypically undistinguishable but genetically distinct) host races that are frequently found in sympatry. Our results show that bacterial detection varies strongly among tick races leading to vector-specific biases if raw counts are used to calculate Borrelia prevalence. These differences are largely explained by differences in infection intensity among tick races. After accounting for detection probabilities, we found that overall prevalence in this system is higher than previously suspected and that certain vector-host combinations likely contribute more than others to the local dynamics and large-scale dispersal of Borrelia spirochetes. These results highlight the importance of evaluating vector population structure and accounting for detection probability when trying to understand the evolutionary ecology of vector-borne diseases.

Indexed as

Lyme disease bacteriapathogen detectionseabirdssite-occupancy modelstransmission ecology

Identifiers

PMID25567933
PMCPMC3352467
OpenAlexW2160942174

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.