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Modeling the Distribution of the Chytrid Fungus Batrachochytrium dendrobatidis with Special Reference to Ukraine

Amphibians are the most threatened group of vertebrates. While habitat loss poses the greatest threat to amphibians, a spreading fungal disease caused by Batrachochytrium dendrobatidis Longcore, Pessier & D.K. Nichols 1999 (Bd) is seriously affecting an increasing number of species. Although Bd...

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Autores principales: Tytar, Volodymyr, Nekrasova, Oksana, Pupins, Mihails, Skute, Arturs, Kirjušina, Muza, Gravele, Evita, Mezaraupe, Ligita, Marushchak, Oleksii, Čeirāns, Andris, Kozynenko, Iryna, Kulikova, Alena A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299439/
https://www.ncbi.nlm.nih.gov/pubmed/37367543
http://dx.doi.org/10.3390/jof9060607
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author Tytar, Volodymyr
Nekrasova, Oksana
Pupins, Mihails
Skute, Arturs
Kirjušina, Muza
Gravele, Evita
Mezaraupe, Ligita
Marushchak, Oleksii
Čeirāns, Andris
Kozynenko, Iryna
Kulikova, Alena A.
author_facet Tytar, Volodymyr
Nekrasova, Oksana
Pupins, Mihails
Skute, Arturs
Kirjušina, Muza
Gravele, Evita
Mezaraupe, Ligita
Marushchak, Oleksii
Čeirāns, Andris
Kozynenko, Iryna
Kulikova, Alena A.
author_sort Tytar, Volodymyr
collection PubMed
description Amphibians are the most threatened group of vertebrates. While habitat loss poses the greatest threat to amphibians, a spreading fungal disease caused by Batrachochytrium dendrobatidis Longcore, Pessier & D.K. Nichols 1999 (Bd) is seriously affecting an increasing number of species. Although Bd is widely prevalent, there are identifiable heterogeneities in the pathogen’s distribution that are linked to environmental parameters. Our objective was to identify conditions that affect the geographic distribution of this pathogen using species distribution models (SDMs) with a special focus on Eastern Europe. SDMs can help identify hotspots for future outbreaks of Bd but perhaps more importantly identify locations that may be environmental refuges (“coldspots”) from infection. In general, climate is considered a major factor driving amphibian disease dynamics, but temperature in particular has received increased attention. Here, 42 environmental raster layers containing data on climate, soil, and human impact were used. The mean annual temperature range (or ‘continentality’) was found to have the strongest constraint on the geographic distribution of this pathogen. The modeling allowed to distinguish presumable locations that may be environmental refuges from infection and set up a framework to guide future search (sampling) of chytridiomycosis in Eastern Europe.
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spelling pubmed-102994392023-06-28 Modeling the Distribution of the Chytrid Fungus Batrachochytrium dendrobatidis with Special Reference to Ukraine Tytar, Volodymyr Nekrasova, Oksana Pupins, Mihails Skute, Arturs Kirjušina, Muza Gravele, Evita Mezaraupe, Ligita Marushchak, Oleksii Čeirāns, Andris Kozynenko, Iryna Kulikova, Alena A. J Fungi (Basel) Article Amphibians are the most threatened group of vertebrates. While habitat loss poses the greatest threat to amphibians, a spreading fungal disease caused by Batrachochytrium dendrobatidis Longcore, Pessier & D.K. Nichols 1999 (Bd) is seriously affecting an increasing number of species. Although Bd is widely prevalent, there are identifiable heterogeneities in the pathogen’s distribution that are linked to environmental parameters. Our objective was to identify conditions that affect the geographic distribution of this pathogen using species distribution models (SDMs) with a special focus on Eastern Europe. SDMs can help identify hotspots for future outbreaks of Bd but perhaps more importantly identify locations that may be environmental refuges (“coldspots”) from infection. In general, climate is considered a major factor driving amphibian disease dynamics, but temperature in particular has received increased attention. Here, 42 environmental raster layers containing data on climate, soil, and human impact were used. The mean annual temperature range (or ‘continentality’) was found to have the strongest constraint on the geographic distribution of this pathogen. The modeling allowed to distinguish presumable locations that may be environmental refuges from infection and set up a framework to guide future search (sampling) of chytridiomycosis in Eastern Europe. MDPI 2023-05-25 /pmc/articles/PMC10299439/ /pubmed/37367543 http://dx.doi.org/10.3390/jof9060607 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tytar, Volodymyr
Nekrasova, Oksana
Pupins, Mihails
Skute, Arturs
Kirjušina, Muza
Gravele, Evita
Mezaraupe, Ligita
Marushchak, Oleksii
Čeirāns, Andris
Kozynenko, Iryna
Kulikova, Alena A.
Modeling the Distribution of the Chytrid Fungus Batrachochytrium dendrobatidis with Special Reference to Ukraine
title Modeling the Distribution of the Chytrid Fungus Batrachochytrium dendrobatidis with Special Reference to Ukraine
title_full Modeling the Distribution of the Chytrid Fungus Batrachochytrium dendrobatidis with Special Reference to Ukraine
title_fullStr Modeling the Distribution of the Chytrid Fungus Batrachochytrium dendrobatidis with Special Reference to Ukraine
title_full_unstemmed Modeling the Distribution of the Chytrid Fungus Batrachochytrium dendrobatidis with Special Reference to Ukraine
title_short Modeling the Distribution of the Chytrid Fungus Batrachochytrium dendrobatidis with Special Reference to Ukraine
title_sort modeling the distribution of the chytrid fungus batrachochytrium dendrobatidis with special reference to ukraine
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299439/
https://www.ncbi.nlm.nih.gov/pubmed/37367543
http://dx.doi.org/10.3390/jof9060607
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