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Phylogeography and population genetics of pine butterflies: Sky islands increase genetic divergence

The sky islands of southeastern Arizona (AZ) mark a major transition zone between tropical and temperate biota and are considered a neglected biodiversity hotspot. Dispersal ability and host plant specificity are thought to impact the history and diversity of insect populations across the sky island...

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Autores principales: Halbritter, Dale A., Storer, Caroline G., Kawahara, Akito Y., Daniels, Jaret C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6912906/
https://www.ncbi.nlm.nih.gov/pubmed/31871652
http://dx.doi.org/10.1002/ece3.5793
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author Halbritter, Dale A.
Storer, Caroline G.
Kawahara, Akito Y.
Daniels, Jaret C.
author_facet Halbritter, Dale A.
Storer, Caroline G.
Kawahara, Akito Y.
Daniels, Jaret C.
author_sort Halbritter, Dale A.
collection PubMed
description The sky islands of southeastern Arizona (AZ) mark a major transition zone between tropical and temperate biota and are considered a neglected biodiversity hotspot. Dispersal ability and host plant specificity are thought to impact the history and diversity of insect populations across the sky islands. We aimed to investigate the population structure and phylogeography of two pine‐feeding pierid butterflies, the pine white (Neophasia menapia) and the Mexican pine white (Neophasia terlooii), restricted to these “islands” at this transition zone. Given their dependence on pines as the larval hosts, we hypothesized that habitat connectivity affects population structure and is at least in part responsible for their allopatry. We sampled DNA from freshly collected butterflies from 17 sites in the sky islands and adjacent high‐elevation habitats and sequenced these samples using ddRADSeq. Up to 15,399 SNPs were discovered and analyzed in population genetic and phylogenetic contexts with Stacks and pyRAD pipelines. Low genetic differentiation in N. menapia suggests that it is panmictic. Conversely, there is strong evidence for population structure within N. terlooii. Each sky island likely contains a population of N. terlooii, and clustering is hierarchical, with populations on proximal mountains being more related to each other. The N. menapia habitat, which is largely contiguous, facilitates panmixia, while the N. terlooii habitat, restricted to the higher elevations on each sky island, creates distinct population structure. Phylogenetic results corroborate those from population genetic analyses. The historical climate‐driven fluxes in forest habitat connectivity have implications for understanding the biodiversity of fragmented habitats.
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spelling pubmed-69129062019-12-23 Phylogeography and population genetics of pine butterflies: Sky islands increase genetic divergence Halbritter, Dale A. Storer, Caroline G. Kawahara, Akito Y. Daniels, Jaret C. Ecol Evol Original Research The sky islands of southeastern Arizona (AZ) mark a major transition zone between tropical and temperate biota and are considered a neglected biodiversity hotspot. Dispersal ability and host plant specificity are thought to impact the history and diversity of insect populations across the sky islands. We aimed to investigate the population structure and phylogeography of two pine‐feeding pierid butterflies, the pine white (Neophasia menapia) and the Mexican pine white (Neophasia terlooii), restricted to these “islands” at this transition zone. Given their dependence on pines as the larval hosts, we hypothesized that habitat connectivity affects population structure and is at least in part responsible for their allopatry. We sampled DNA from freshly collected butterflies from 17 sites in the sky islands and adjacent high‐elevation habitats and sequenced these samples using ddRADSeq. Up to 15,399 SNPs were discovered and analyzed in population genetic and phylogenetic contexts with Stacks and pyRAD pipelines. Low genetic differentiation in N. menapia suggests that it is panmictic. Conversely, there is strong evidence for population structure within N. terlooii. Each sky island likely contains a population of N. terlooii, and clustering is hierarchical, with populations on proximal mountains being more related to each other. The N. menapia habitat, which is largely contiguous, facilitates panmixia, while the N. terlooii habitat, restricted to the higher elevations on each sky island, creates distinct population structure. Phylogenetic results corroborate those from population genetic analyses. The historical climate‐driven fluxes in forest habitat connectivity have implications for understanding the biodiversity of fragmented habitats. John Wiley and Sons Inc. 2019-11-07 /pmc/articles/PMC6912906/ /pubmed/31871652 http://dx.doi.org/10.1002/ece3.5793 Text en © 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Halbritter, Dale A.
Storer, Caroline G.
Kawahara, Akito Y.
Daniels, Jaret C.
Phylogeography and population genetics of pine butterflies: Sky islands increase genetic divergence
title Phylogeography and population genetics of pine butterflies: Sky islands increase genetic divergence
title_full Phylogeography and population genetics of pine butterflies: Sky islands increase genetic divergence
title_fullStr Phylogeography and population genetics of pine butterflies: Sky islands increase genetic divergence
title_full_unstemmed Phylogeography and population genetics of pine butterflies: Sky islands increase genetic divergence
title_short Phylogeography and population genetics of pine butterflies: Sky islands increase genetic divergence
title_sort phylogeography and population genetics of pine butterflies: sky islands increase genetic divergence
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6912906/
https://www.ncbi.nlm.nih.gov/pubmed/31871652
http://dx.doi.org/10.1002/ece3.5793
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