Evidence map›Paper›PMID 36780839›Full record

ArticleTicks and tick-borne diseases2023

Prevalence of Borrelia burgdorferi and diversity of its outer surface protein C (ospC) alleles in blacklegged ticks (Ixodes scapularis) in Delaware.

Scarlet A Shifflett, Tyler Wiedmeyer, Ashley Kennedy, Lauren Maestas, Michael Buoni, Arif Ciloglu, Vincenzo A Ellis

Open access · goldAbstract read
In one paragraph

Article in Ticks and tick-borne diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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  5. Diversity and host specificity ofInfection and immunity · 2024
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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 at 5 institutions in 2 countries.

Scarlet A ShifflettDepartment of Entomology and Wildlife Ecology, University of Delaware, Newark, DE, USA.
Tyler WiedmeyerDepartment of Entomology and Wildlife Ecology, University of Delaware, Newark, DE, USA.
Ashley KennedyMosquito Control Section, Division of Fish & Wildlife, Delaware Department of Natural Resources and Environmental Control, DE, USA.
Lauren MaestasMosquito Control Section, Division of Fish & Wildlife, Delaware Department of Natural Resources and Environmental Control, DE, USA; Cattle Fever Tick Research Laboratory, USDA, Agricultural Research Service, Edinburg, TX, USA.
Michael BuoniDelaware Technical Community College, Georgetown, DE, USA; Department of Medical and Molecular Sciences, University of Delaware, Newark, DE, USA.
Arif CilogluDepartment of Parasitology, Faculty of Veterinary Medicine, Erciyes University, Kayseri, Türkiye; Vectors and Vector-Borne Diseases Implementation and Research Center, Erciyes University, Kayseri, Türkiye.
Vincenzo A EllisDepartment of Entomology and Wildlife Ecology, University of Delaware, Newark, DE, USA. Electronic address: vaellis@udel.edu.
University of Delaware · USAgricultural Research Service · USDelaware Department of Natural Resources and Environmental Control · USDelaware Technical Community College · USVector (United States) · US

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI MELINDA K DUNCAN · 2012 to 2026
$67.2M
NIGMS NIH HHS P20 GM103446
6 · The paper itself

Abstract

Characterizing the diversity of genes associated with virulence and transmission of a pathogen across the pathogen's distribution can inform our understanding of host infection risk. Borrelia burgdorferi is a vector-borne bacterium that causes Lyme disease in humans and is common in the United States. The outer surface protein C (ospC) gene of B. burgdorferi exhibits substantial genetic variation across the pathogen's distribution and plays a critical role in virulence and transmission in vertebrate hosts. In fact, B. burgdorferi infections that disseminate across host tissues in humans are associated with only a subset of ospC alleles. Delaware has a high incidence of Lyme disease, but the diversity of ospC in B. burgdorferi in the state has not been evaluated. We used PCR to amplify ospC in B. burgdorferi-infected blacklegged ticks (Ixodes scapularis) in sites statewide and used short-read sequencing to identify ospC alleles. B. burgdorferi prevalence in blacklegged ticks varied across sites, but not significantly so. We identified 15 previously characterized ospC alleles accounting for nearly all of the expected diversity of alleles across the sites as estimated using the Chao1 index. Nearly 40% of sequenced infections (23/58) had more than one ospC allele present suggesting mixed strain infections and the relative frequencies of alleles in single infections were positively correlated with their relative frequencies in mixed infections. Turnover of ospC alleles was positively related to distance between sites with closer sites having more similar allele compositions than more distant sites. This suggests a degree of B. burgdorferi dispersal limitation or habitat specialization. OspC alleles known to cause disseminated infections in humans were found at the highest frequencies across sites, corresponding to Delaware's high incidence of Lyme disease.

Indexed as

Borrelia burgdorferiIxodesLyme DiseaseAllelesAnimalsAntigens, BacterialBacterial Outer Membrane ProteinsDelawareHumansPrevalenceAntigens, BacterialBacterial Outer Membrane ProteinsOspC proteinBorrelia ecologyBorrelia miyamotoiLyme diseaseMixed infectionsPathogen population genetics

Identifiers

PMID36780839
PMCPMC10033352
OpenAlexW4320085830

What OpenQuestion holds

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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.