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Mapping black panthers: Macroecological modeling of melanism in leopards (Panthera pardus)

The geographic distribution and habitat association of most mammalian polymorphic phenotypes are still poorly known, hampering assessments of their adaptive significance. Even in the case of the black panther, an iconic melanistic variant of the leopard (Panthera pardus), no map exists describing it...

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Autores principales: da Silva, Lucas G., Kawanishi, Kae, Henschel, Philipp, Kittle, Andrew, Sanei, Arezoo, Reebin, Alexander, Miquelle, Dale, Stein, Andrew B., Watson, Anjali, Kekule, Laurence Bruce, Machado, Ricardo B., Eizirik, Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381760/
https://www.ncbi.nlm.nih.gov/pubmed/28379961
http://dx.doi.org/10.1371/journal.pone.0170378
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author da Silva, Lucas G.
Kawanishi, Kae
Henschel, Philipp
Kittle, Andrew
Sanei, Arezoo
Reebin, Alexander
Miquelle, Dale
Stein, Andrew B.
Watson, Anjali
Kekule, Laurence Bruce
Machado, Ricardo B.
Eizirik, Eduardo
author_facet da Silva, Lucas G.
Kawanishi, Kae
Henschel, Philipp
Kittle, Andrew
Sanei, Arezoo
Reebin, Alexander
Miquelle, Dale
Stein, Andrew B.
Watson, Anjali
Kekule, Laurence Bruce
Machado, Ricardo B.
Eizirik, Eduardo
author_sort da Silva, Lucas G.
collection PubMed
description The geographic distribution and habitat association of most mammalian polymorphic phenotypes are still poorly known, hampering assessments of their adaptive significance. Even in the case of the black panther, an iconic melanistic variant of the leopard (Panthera pardus), no map exists describing its distribution. We constructed a large database of verified records sampled across the species’ range, and used it to map the geographic occurrence of melanism. We then estimated the potential distribution of melanistic and non-melanistic leopards using niche-modeling algorithms. The overall frequency of melanism was ca. 11%, with a significantly non-random spatial distribution. Distinct habitat types presented significantly different frequencies of melanism, which increased in Asian moist forests and approached zero across most open/dry biomes. Niche modeling indicated that the potential distributions of the two phenotypes were distinct, with significant differences in habitat suitability and rejection of niche equivalency between them. We conclude that melanism in leopards is strongly affected by natural selection, likely driven by efficacy of camouflage and/or thermoregulation in different habitats, along with an effect of moisture that goes beyond its influence on vegetation type. Our results support classical hypotheses of adaptive coloration in animals (e.g. Gloger’s rule), and open up new avenues for in-depth evolutionary analyses of melanism in mammals.
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spelling pubmed-53817602017-04-19 Mapping black panthers: Macroecological modeling of melanism in leopards (Panthera pardus) da Silva, Lucas G. Kawanishi, Kae Henschel, Philipp Kittle, Andrew Sanei, Arezoo Reebin, Alexander Miquelle, Dale Stein, Andrew B. Watson, Anjali Kekule, Laurence Bruce Machado, Ricardo B. Eizirik, Eduardo PLoS One Research Article The geographic distribution and habitat association of most mammalian polymorphic phenotypes are still poorly known, hampering assessments of their adaptive significance. Even in the case of the black panther, an iconic melanistic variant of the leopard (Panthera pardus), no map exists describing its distribution. We constructed a large database of verified records sampled across the species’ range, and used it to map the geographic occurrence of melanism. We then estimated the potential distribution of melanistic and non-melanistic leopards using niche-modeling algorithms. The overall frequency of melanism was ca. 11%, with a significantly non-random spatial distribution. Distinct habitat types presented significantly different frequencies of melanism, which increased in Asian moist forests and approached zero across most open/dry biomes. Niche modeling indicated that the potential distributions of the two phenotypes were distinct, with significant differences in habitat suitability and rejection of niche equivalency between them. We conclude that melanism in leopards is strongly affected by natural selection, likely driven by efficacy of camouflage and/or thermoregulation in different habitats, along with an effect of moisture that goes beyond its influence on vegetation type. Our results support classical hypotheses of adaptive coloration in animals (e.g. Gloger’s rule), and open up new avenues for in-depth evolutionary analyses of melanism in mammals. Public Library of Science 2017-04-05 /pmc/articles/PMC5381760/ /pubmed/28379961 http://dx.doi.org/10.1371/journal.pone.0170378 Text en © 2017 da Silva et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
da Silva, Lucas G.
Kawanishi, Kae
Henschel, Philipp
Kittle, Andrew
Sanei, Arezoo
Reebin, Alexander
Miquelle, Dale
Stein, Andrew B.
Watson, Anjali
Kekule, Laurence Bruce
Machado, Ricardo B.
Eizirik, Eduardo
Mapping black panthers: Macroecological modeling of melanism in leopards (Panthera pardus)
title Mapping black panthers: Macroecological modeling of melanism in leopards (Panthera pardus)
title_full Mapping black panthers: Macroecological modeling of melanism in leopards (Panthera pardus)
title_fullStr Mapping black panthers: Macroecological modeling of melanism in leopards (Panthera pardus)
title_full_unstemmed Mapping black panthers: Macroecological modeling of melanism in leopards (Panthera pardus)
title_short Mapping black panthers: Macroecological modeling of melanism in leopards (Panthera pardus)
title_sort mapping black panthers: macroecological modeling of melanism in leopards (panthera pardus)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381760/
https://www.ncbi.nlm.nih.gov/pubmed/28379961
http://dx.doi.org/10.1371/journal.pone.0170378
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