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Masting by beech trees predicts the risk of Lyme disease

BACKGROUND: The incidence of Lyme borreliosis and other tick-borne diseases is increasing in Europe and North America. There is currently much interest in identifying the ecological factors that determine the density of infected ticks as this variable determines the risk of Lyme borreliosis to verte...

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Autores principales: Bregnard, Cindy, Rais, Olivier, Voordouw, Maarten Jeroen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7980658/
https://www.ncbi.nlm.nih.gov/pubmed/33743800
http://dx.doi.org/10.1186/s13071-021-04646-0
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author Bregnard, Cindy
Rais, Olivier
Voordouw, Maarten Jeroen
author_facet Bregnard, Cindy
Rais, Olivier
Voordouw, Maarten Jeroen
author_sort Bregnard, Cindy
collection PubMed
description BACKGROUND: The incidence of Lyme borreliosis and other tick-borne diseases is increasing in Europe and North America. There is currently much interest in identifying the ecological factors that determine the density of infected ticks as this variable determines the risk of Lyme borreliosis to vertebrate hosts, including humans. Lyme borreliosis is caused by the bacterium Borrelia burgdorferi sensu lato (s.l.) and in western Europe, the hard tick Ixodes ricinus is the most important vector. METHODS: Over a 15-year period (2004–2018), we monitored the monthly abundance of I. ricinus ticks (nymphs and adults) and their B. burgdorferi s.l. infection status at four different elevations on a mountain in western Switzerland. We collected climate variables in the field and from nearby weather stations. We obtained data on beech tree seed production (masting) from the literature, as the abundance of Ixodes nymphs can increase dramatically 2 years after a masting event. We used generalized linear mixed effects models and AIC-based model selection to identify the ecological factors that influence inter-annual variation in the nymphal infection prevalence (NIP) and the density of infected nymphs (DIN). RESULTS: We found that the NIP decreased by 78% over the study period. Inter-annual variation in the NIP was explained by the mean precipitation in the present year, and the duration that the DNA extraction was stored in the freezer prior to pathogen detection. The DIN decreased over the study period at all four elevation sites, and the decrease was significant at the top elevation. Inter-annual variation in the DIN was best explained by elevation site, year, beech tree masting index 2 years prior and the mean relative humidity in the present year. This is the first study in Europe to demonstrate that seed production by deciduous trees influences the density of nymphs infected with B. burgdorferi s.l. and hence the risk of Lyme borreliosis. CONCLUSIONS: Public health officials in Europe should be aware that masting by deciduous trees is an important predictor of the risk of Lyme borreliosis. [Image: see text]
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spelling pubmed-79806582021-03-22 Masting by beech trees predicts the risk of Lyme disease Bregnard, Cindy Rais, Olivier Voordouw, Maarten Jeroen Parasit Vectors Research BACKGROUND: The incidence of Lyme borreliosis and other tick-borne diseases is increasing in Europe and North America. There is currently much interest in identifying the ecological factors that determine the density of infected ticks as this variable determines the risk of Lyme borreliosis to vertebrate hosts, including humans. Lyme borreliosis is caused by the bacterium Borrelia burgdorferi sensu lato (s.l.) and in western Europe, the hard tick Ixodes ricinus is the most important vector. METHODS: Over a 15-year period (2004–2018), we monitored the monthly abundance of I. ricinus ticks (nymphs and adults) and their B. burgdorferi s.l. infection status at four different elevations on a mountain in western Switzerland. We collected climate variables in the field and from nearby weather stations. We obtained data on beech tree seed production (masting) from the literature, as the abundance of Ixodes nymphs can increase dramatically 2 years after a masting event. We used generalized linear mixed effects models and AIC-based model selection to identify the ecological factors that influence inter-annual variation in the nymphal infection prevalence (NIP) and the density of infected nymphs (DIN). RESULTS: We found that the NIP decreased by 78% over the study period. Inter-annual variation in the NIP was explained by the mean precipitation in the present year, and the duration that the DNA extraction was stored in the freezer prior to pathogen detection. The DIN decreased over the study period at all four elevation sites, and the decrease was significant at the top elevation. Inter-annual variation in the DIN was best explained by elevation site, year, beech tree masting index 2 years prior and the mean relative humidity in the present year. This is the first study in Europe to demonstrate that seed production by deciduous trees influences the density of nymphs infected with B. burgdorferi s.l. and hence the risk of Lyme borreliosis. CONCLUSIONS: Public health officials in Europe should be aware that masting by deciduous trees is an important predictor of the risk of Lyme borreliosis. [Image: see text] BioMed Central 2021-03-20 /pmc/articles/PMC7980658/ /pubmed/33743800 http://dx.doi.org/10.1186/s13071-021-04646-0 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research
Bregnard, Cindy
Rais, Olivier
Voordouw, Maarten Jeroen
Masting by beech trees predicts the risk of Lyme disease
title Masting by beech trees predicts the risk of Lyme disease
title_full Masting by beech trees predicts the risk of Lyme disease
title_fullStr Masting by beech trees predicts the risk of Lyme disease
title_full_unstemmed Masting by beech trees predicts the risk of Lyme disease
title_short Masting by beech trees predicts the risk of Lyme disease
title_sort masting by beech trees predicts the risk of lyme disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7980658/
https://www.ncbi.nlm.nih.gov/pubmed/33743800
http://dx.doi.org/10.1186/s13071-021-04646-0
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