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Methodological framework for projecting the potential loss of intraspecific genetic diversity due to global climate change
BACKGROUND: While research on the impact of global climate change (GCC) on ecosystems and species is flourishing, a fundamental component of biodiversity – molecular variation – has not yet received its due attention in such studies. Here we present a methodological framework for projecting the loss...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3538604/ https://www.ncbi.nlm.nih.gov/pubmed/23176586 http://dx.doi.org/10.1186/1471-2148-12-224 |
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author | Pfenninger, Markus Bálint, Miklós Pauls, Steffen U |
author_facet | Pfenninger, Markus Bálint, Miklós Pauls, Steffen U |
author_sort | Pfenninger, Markus |
collection | PubMed |
description | BACKGROUND: While research on the impact of global climate change (GCC) on ecosystems and species is flourishing, a fundamental component of biodiversity – molecular variation – has not yet received its due attention in such studies. Here we present a methodological framework for projecting the loss of intraspecific genetic diversity due to GCC. METHODS: The framework consists of multiple steps that combines 1) hierarchical genetic clustering methods to define comparable units of inference, 2) species accumulation curves (SAC) to infer sampling completeness, and 3) species distribution modelling (SDM) to project the genetic diversity loss under GCC. We suggest procedures for existing data sets as well as specifically designed studies. We illustrate the approach with two worked examples from a land snail (Trochulus villosus) and a caddisfly (Smicridea (S.) mucronata). RESULTS: Sampling completeness was diagnosed on the third coarsest haplotype clade level for T. villosus and the second coarsest for S. mucronata. For both species, a substantial species range loss was projected under the chosen climate scenario. However, despite substantial differences in data set quality concerning spatial sampling and sampling depth, no loss of haplotype clades due to GCC was predicted for either species. CONCLUSIONS: The suggested approach presents a feasible method to tap the rich resources of existing phylogeographic data sets and guide the design and analysis of studies explicitly designed to estimate the impact of GCC on a currently still neglected level of biodiversity. |
format | Online Article Text |
id | pubmed-3538604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35386042013-01-10 Methodological framework for projecting the potential loss of intraspecific genetic diversity due to global climate change Pfenninger, Markus Bálint, Miklós Pauls, Steffen U BMC Evol Biol Methodology Article BACKGROUND: While research on the impact of global climate change (GCC) on ecosystems and species is flourishing, a fundamental component of biodiversity – molecular variation – has not yet received its due attention in such studies. Here we present a methodological framework for projecting the loss of intraspecific genetic diversity due to GCC. METHODS: The framework consists of multiple steps that combines 1) hierarchical genetic clustering methods to define comparable units of inference, 2) species accumulation curves (SAC) to infer sampling completeness, and 3) species distribution modelling (SDM) to project the genetic diversity loss under GCC. We suggest procedures for existing data sets as well as specifically designed studies. We illustrate the approach with two worked examples from a land snail (Trochulus villosus) and a caddisfly (Smicridea (S.) mucronata). RESULTS: Sampling completeness was diagnosed on the third coarsest haplotype clade level for T. villosus and the second coarsest for S. mucronata. For both species, a substantial species range loss was projected under the chosen climate scenario. However, despite substantial differences in data set quality concerning spatial sampling and sampling depth, no loss of haplotype clades due to GCC was predicted for either species. CONCLUSIONS: The suggested approach presents a feasible method to tap the rich resources of existing phylogeographic data sets and guide the design and analysis of studies explicitly designed to estimate the impact of GCC on a currently still neglected level of biodiversity. BioMed Central 2012-11-24 /pmc/articles/PMC3538604/ /pubmed/23176586 http://dx.doi.org/10.1186/1471-2148-12-224 Text en Copyright ©2012 Pfenninger et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Article Pfenninger, Markus Bálint, Miklós Pauls, Steffen U Methodological framework for projecting the potential loss of intraspecific genetic diversity due to global climate change |
title | Methodological framework for projecting the potential loss of intraspecific genetic diversity due to global climate change |
title_full | Methodological framework for projecting the potential loss of intraspecific genetic diversity due to global climate change |
title_fullStr | Methodological framework for projecting the potential loss of intraspecific genetic diversity due to global climate change |
title_full_unstemmed | Methodological framework for projecting the potential loss of intraspecific genetic diversity due to global climate change |
title_short | Methodological framework for projecting the potential loss of intraspecific genetic diversity due to global climate change |
title_sort | methodological framework for projecting the potential loss of intraspecific genetic diversity due to global climate change |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3538604/ https://www.ncbi.nlm.nih.gov/pubmed/23176586 http://dx.doi.org/10.1186/1471-2148-12-224 |
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