Evidence map›Paper›PMID 39034651›Full record

ArticleMolecular ecology2024

Population dynamics of the Lyme disease bacterium, Borrelia burgdorferi, during rapid range expansion in New York State.

Zachary J Oppler, Melissa A Prusinski, Kayleigh R O'Keeffe, Patrick Pearson, Stephen M Rich, Richard C Falco, Vanessa Vinci, Collin O'Connor, Jamie Haight, P Bryon Backenson and 1 more

Abstract read
In one paragraph

Article in Molecular ecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Zachary J OpplerDepartment of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-4106-2243
Melissa A PrusinskiNew York State Department of Health, Albany, New York, USA.
Kayleigh R O'KeeffeDepartment of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Patrick PearsonDepartment of Microbiology, University of Massachusetts Amherst, Amherst, Massachusetts, USA.
Stephen M RichDepartment of Microbiology, University of Massachusetts Amherst, Amherst, Massachusetts, USA.
Richard C FalcoNew York State Department of Health, Bureau of Communicable Disease Control, Fordham University Louis Calder Center, Armonk, New York, USA.
Vanessa VinciNew York State Department of Health, Bureau of Communicable Disease Control, Fordham University Louis Calder Center, Armonk, New York, USA.
Collin O'ConnorNew York State Department of Health, Bureau of Communicable Disease Control, Buffalo State University, Buffalo, New York, USA.
Jamie HaightNew York State Department of Health, Bureau of Communicable Disease Control, Chautauqua County Department of Public Works, Falconer, New York, USA.
P Bryon BackensonNew York State Department of Health, Albany, New York, USA.
Dustin BrissonDepartment of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

PARASITOLOGY: MODERN APPROACHEST32AI007532 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI HERBERT, DE'BROSKI R · 1998 to 2022
$5.0M
Phylogeographic dynamics of tick-borne pathogensR01AI142572 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI BRISSON, DUSTIN · 2018 to 2023
$2.4M
Phylogeographic dynamics of a vector and pathogen in a natural environmentR01AI097137 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI BRISSON, DUSTIN · 2012 to 2016
$1.9M
Selective Whole Genome Amplification - Enabling Microbial Population GenomicsR21AI137433 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI BRISSON, DUSTIN · 2018 to 2019
$429k
CDC HHS U01CK000509National Institute of Allergy and Infectious Diseases T32-AI007532NCEZID CDC HHS U01 CK000509NCEZID CDC HHS U01 CK000661NIAID NIH HHS R01 AI097137NIAID NIH HHS R01 AI142572NIAID NIH HHS R21 AI137433NIAID NIH HHS T32 AI007532
6 · The paper itself

Abstract

Recent changes in climate and human land-use have resulted in alterations of the geographic range of many species, including human pathogens. Geographic range expansion and population growth of human pathogens increase human disease risk. Relatively little empirical work has investigated the impact of range changes on within-population variability, a contributor to both colonization success and adaptive potential, during the precise time in which populations are colonized. This is likely due to the difficulties of collecting appropriate natural samples during the dynamic phase of migration and colonization. We systematically collected blacklegged ticks (Ixodes scapularis) across New York State (NY), USA, between 2006 and 2019, a time period coinciding with a rapid range expansion of ticks and their associated pathogens including Borrelia burgdorferi, the etiological agent of Lyme disease. These samples provide a unique opportunity to investigate the population dynamics of human pathogens as they expand into novel territory. We observed that founder effects were short-lived, as gene flow from long-established populations brought almost all B. burgdorferi lineages to newly colonized populations within just a few years of colonization. By 7 years post-colonization, B. burgdorferi lineage frequency distributions were indistinguishable from long-established sites, indicating that local B. burgdorferi populations experience similar selective pressures despite geographic separation. The B. burgdorferi lineage dynamics elucidate the processes underlying the range expansion and demonstrate that migration into, and selection within, newly colonized sites operate on different time scales.

Indexed as

Borrelia burgdorferiGene FlowIxodesLyme DiseasePopulation DynamicsAnimalsGenetics, PopulationHumansNew YorkBorrelia burgdorferidispersalpopulation dynamicsrange expansion

Identifiers

PMID39034651
PMCPMC11303095

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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.