Evidence map›Paper›PMID 42839832›Full record

ArticleMolecular ecology2026

When Clades Collide: Genomic Admixture in Blacklegged Ticks (Ixodes scapularis) From the Great Plains.

Kaylee S Herzog, Zach Pella, Halie Smith, Dayna McCormick, Lily Nuss, Amanda Brinkworth, Sujata S Chaudhari, Kathryn Duncan, Kellee Sundstrom, Sydney Stein and 6 more

Abstract read
In one paragraph

Article in Molecular ecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Kaylee S HerzogDepartment of Biology and Museum of Southwestern Biology, University of New Mexico, Albuquerque, New Mexico, USA.ORCID https://orcid.org/0000-0002-6777-6722
Zach PellaDepartment of Epidemiology, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Halie SmithNebraska Department of Health and Human Services, Lincoln, Nebraska, USA.ORCID https://orcid.org/0009-0009-5283-4406
Dayna McCormickDepartment of Epidemiology, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Lily NussSchool of Veterinary Medicine and Biomedical Sciences, University of Nebraska Lincoln, Lincoln, Nebraska, USA.
Amanda BrinkworthDepartment of Pathology, Microbiology, and Immunology, University of Nebraska Medical Center, Omaha, Nebraska, USA.ORCID https://orcid.org/0000-0003-3340-8494
Sujata S ChaudhariDepartment of Pathology, Microbiology, and Immunology, University of Nebraska Medical Center, Omaha, Nebraska, USA.ORCID https://orcid.org/0000-0002-9609-152X
Kathryn DuncanDepartment of Veterinary Pathobiology, Oklahoma State University, Stillwater, Oklahoma, USA.
Kellee SundstromDepartment of Veterinary Pathobiology, Oklahoma State University, Stillwater, Oklahoma, USA.ORCID https://orcid.org/0000-0002-8000-8445
Sydney SteinNebraska Department of Health and Human Services, Lincoln, Nebraska, USA.ORCID https://orcid.org/0000-0002-0259-4485
Holly BlackDepartment of Veterinary Clinical Medicine, University of Illinois, Urbana-Champaign, Illinois, USA.
Jose E PietriDepartment of Entomology, Purdue University, West Lafayette, Indiana, USA.
Ryan C SmithDepartment of Plant Pathology, Entomology and Microbiology, Iowa State University, Ames, Iowa, USA.ORCID https://orcid.org/0000-0003-0245-2265
Jeff HamikNebraska Department of Health and Human Services, Lincoln, Nebraska, USA.ORCID https://orcid.org/0000-0002-9951-1577
Roberto CortiñasSchool of Veterinary Medicine and Biomedical Sciences, University of Nebraska Lincoln, Lincoln, Nebraska, USA.ORCID https://orcid.org/0009-0005-5274-8330
Joseph R FauverDepartment of Epidemiology, University of Nebraska Medical Center, Omaha, Nebraska, USA.ORCID https://orcid.org/0000-0001-8099-2991

Funding

UNMC Structural Biology CoreP20GM103427 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI PAUL L SORGEN · 2012 to 2026
$59.2M
JG CDC HHS NU60OE000104Lyme Disease AssociationNebraska Research Initiative 51385NIGMS NIH HHS P20 GM103427NIGMS NIH HHS P20GM103427
6 · The paper itself

Abstract

Ixodes scapularis ticks transmit a number of pathogens important to human health, including Borrelia burgdorferi sensu stricto, the causative agent of Lyme disease. While I. scapularis is found across the Eastern United States, Lyme disease transmission is largely limited to the Northeast and Upper Midwest and is nearly absent in the South. This indicates that differences in northern versus southern clades of I. scapularis are associated with differences in Lyme disease transmission risk. Ixodes scapularis is undergoing range expansion, including into the Great Plains region of the United States. Determining where I. scapularis populations in the Great Plains originated can inform future risk of Lyme disease transmission in this region. In this study, we use a population genomics framework to characterize diversity, structure and B. burgdorferi infection rates of I. scapularis populations in the Great Plains region. We generated whole genome sequence data and single nucleotide polymorphism (SNP) datasets from I. scapularis ticks collected in Iowa, Kansas, Nebraska and South Dakota to compare to publicly available data from across the species' range. Our analysis of 200 I. scapularis SNP datasets indicated geographically well-defined populations that correspond to historical northern and southern ancestral clades of I. scapularis. Ticks from South Dakota, Iowa and northeastern Nebraska are genetically similar populations from the Upper Midwest, while ticks from Kansas are more genetically similar to ticks from the Southeast. Ticks collected in the east central region of Nebraska, however, represent an evenly admixed population of both northern and southern genomic backgrounds. Analysis of B. burgdorferi reads from genomic datasets shows ~50% infection rate in ticks from Iowa and northeastern Nebraska, whereas ticks from Kansas show no evidence of B. burgdorferi infection. Of note, evenly admixed ticks from the east central region of Nebraska also show no evidence of B. burgdorferi infection. These results provide further evidence that tick genomics may influence traits associated with B. burgdorferi infection status, and thus the potential for Lyme disease transmission. As the range of I. scapularis continues to expand, bringing historically isolated populations into contact, there is a clear need to understand the consequence of genomic admixture for B. burgdorferi transmission potential to inform future risk of Lyme disease in the United States.

Indexed as

Genetics, PopulationIxodesAnimalsBorrelia burgdorferiGenetic VariationLyme DiseasePolymorphism, Single NucleotideSequence Analysis, DNAUnited StatesWhole Genome Sequencing

Identifiers

PMID42839832
PMCPMC13643498

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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.