Cargando…
A 117-year retrospective analysis of Pennsylvania tick community dynamics
BACKGROUND: Tick-borne diseases have been increasing at the local, national, and global levels. Researchers studying ticks and tick-borne diseases need a thorough knowledge of the pathogens, vectors, and epidemiology of disease spread. Both active and passive surveillance approaches are typically us...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6489237/ https://www.ncbi.nlm.nih.gov/pubmed/31036065 http://dx.doi.org/10.1186/s13071-019-3451-6 |
_version_ | 1783414781604003840 |
---|---|
author | Pak, Damie Jacobs, Steven B. Sakamoto, Joyce M. |
author_facet | Pak, Damie Jacobs, Steven B. Sakamoto, Joyce M. |
author_sort | Pak, Damie |
collection | PubMed |
description | BACKGROUND: Tick-borne diseases have been increasing at the local, national, and global levels. Researchers studying ticks and tick-borne diseases need a thorough knowledge of the pathogens, vectors, and epidemiology of disease spread. Both active and passive surveillance approaches are typically used to estimate tick population size and risk of tick encounter. Our data consists of a composite of active and long-term passive surveillance, which has provided insight into spatial variability and temporal dynamics of ectoparasite communities and identified rarer tick species. We present a retrospective analysis on compiled data of ticks from Pennsylvania over the last 117 years. METHODS: We compiled data from ticks collected during tick surveillance research, and from citizen-based submissions. The majority of the specimens were submitted by citizens. However, a subset of the data was collected through active methods (flagging or dragging, or removal of ticks from wildlife). We analyzed all data from 1900–2017 for tick community composition, host associations, and spatio-temporal dynamics. RESULTS: In total there were 4491 submission lots consisting of 7132 tick specimens. Twenty-four different species were identified, with the large proportion of submissions represented by five tick species. We observed a shift in tick community composition in which the dominant species of tick (Ixodes cookei) was overtaken in abundance by Dermacentor variabilis in the early 1990s and then replaced in abundance by I. scapularis. We analyzed host data and identified overlaps in host range amongst tick species. CONCLUSIONS: We highlight the importance of long-term passive tick surveillance in investigating the ecology of both common and rare tick species. Information on the geographical distribution, host-association, and seasonality of the tick community can help researchers and health-officials to identify high-risk areas. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13071-019-3451-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6489237 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64892372019-06-05 A 117-year retrospective analysis of Pennsylvania tick community dynamics Pak, Damie Jacobs, Steven B. Sakamoto, Joyce M. Parasit Vectors Research BACKGROUND: Tick-borne diseases have been increasing at the local, national, and global levels. Researchers studying ticks and tick-borne diseases need a thorough knowledge of the pathogens, vectors, and epidemiology of disease spread. Both active and passive surveillance approaches are typically used to estimate tick population size and risk of tick encounter. Our data consists of a composite of active and long-term passive surveillance, which has provided insight into spatial variability and temporal dynamics of ectoparasite communities and identified rarer tick species. We present a retrospective analysis on compiled data of ticks from Pennsylvania over the last 117 years. METHODS: We compiled data from ticks collected during tick surveillance research, and from citizen-based submissions. The majority of the specimens were submitted by citizens. However, a subset of the data was collected through active methods (flagging or dragging, or removal of ticks from wildlife). We analyzed all data from 1900–2017 for tick community composition, host associations, and spatio-temporal dynamics. RESULTS: In total there were 4491 submission lots consisting of 7132 tick specimens. Twenty-four different species were identified, with the large proportion of submissions represented by five tick species. We observed a shift in tick community composition in which the dominant species of tick (Ixodes cookei) was overtaken in abundance by Dermacentor variabilis in the early 1990s and then replaced in abundance by I. scapularis. We analyzed host data and identified overlaps in host range amongst tick species. CONCLUSIONS: We highlight the importance of long-term passive tick surveillance in investigating the ecology of both common and rare tick species. Information on the geographical distribution, host-association, and seasonality of the tick community can help researchers and health-officials to identify high-risk areas. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13071-019-3451-6) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-29 /pmc/articles/PMC6489237/ /pubmed/31036065 http://dx.doi.org/10.1186/s13071-019-3451-6 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Pak, Damie Jacobs, Steven B. Sakamoto, Joyce M. A 117-year retrospective analysis of Pennsylvania tick community dynamics |
title | A 117-year retrospective analysis of Pennsylvania tick community dynamics |
title_full | A 117-year retrospective analysis of Pennsylvania tick community dynamics |
title_fullStr | A 117-year retrospective analysis of Pennsylvania tick community dynamics |
title_full_unstemmed | A 117-year retrospective analysis of Pennsylvania tick community dynamics |
title_short | A 117-year retrospective analysis of Pennsylvania tick community dynamics |
title_sort | 117-year retrospective analysis of pennsylvania tick community dynamics |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6489237/ https://www.ncbi.nlm.nih.gov/pubmed/31036065 http://dx.doi.org/10.1186/s13071-019-3451-6 |
work_keys_str_mv | AT pakdamie a117yearretrospectiveanalysisofpennsylvaniatickcommunitydynamics AT jacobsstevenb a117yearretrospectiveanalysisofpennsylvaniatickcommunitydynamics AT sakamotojoycem a117yearretrospectiveanalysisofpennsylvaniatickcommunitydynamics AT pakdamie 117yearretrospectiveanalysisofpennsylvaniatickcommunitydynamics AT jacobsstevenb 117yearretrospectiveanalysisofpennsylvaniatickcommunitydynamics AT sakamotojoycem 117yearretrospectiveanalysisofpennsylvaniatickcommunitydynamics |