Volume 15, Issue 2
Resource Article

phylin: an r package for phylogeographic interpolation

Pedro Tarroso

Corresponding Author

CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos da Universidade do Porto, R. Padre Armando Quintas, 4485‐661 Vairão, Portugal

Correspondence: Pedro Tarroso, Fax: 351‐252‐661780; E‐mail: ptarroso@cibio.up.ptSearch for more papers by this author
Guillermo Velo‐Antón

CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos da Universidade do Porto, R. Padre Armando Quintas, 4485‐661 Vairão, Portugal

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Sílvia B. Carvalho

CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos da Universidade do Porto, R. Padre Armando Quintas, 4485‐661 Vairão, Portugal

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First published: 06 August 2014
Citations: 14

Abstract

phylin is a package for the r programming environment which offers different methods to spatially interpolate genetic information from phylogeographic data. These interpolations can be used to predict the spatial occurrence of different lineages within a phylogeny using a modified method of kriging, which allows the usage of a genetic distance matrix to derive a model of spatial dependence. phylin improves the available methods to generate interpolated surfaces from a phylogenetic trees by assessing the autocorrelation structure of the genetic information, interpolating the genetic data based on a statistical model, estimating the uncertainty of the predictions and identifying lineage occurrence and contact zones probability without projection of pairwise genetic distances into mid‐points between sample locations. The package also includes methods to plot interpolation surfaces and provide summary tables from the generated data and models. We provide an example of the usefulness of this tool by inferring the spatial occurrence of distinct historical evolutionary lineages of the Lataste's viper (Vipera latastei Boscá, 1878) in the Iberian Peninsula and identifying potential contact areas. The maps of phylogenetic patterns obtained with these methods provide a spatial context to test hypotheses related to processes underlying the geographic distribution of genetic diversity and to inform conservation planning.

Number of times cited according to CrossRef: 14

  • Climatic refugia boosted allopatric diversification in Western Mediterranean vipers, Journal of Biogeography, 10.1111/jbi.13861, 47, 8, (1698-1713), (2020).
  • Multi-level patterns of genetic structure and isolation by distance in the widespread plant Mimulus guttatus, Heredity, 10.1038/s41437-020-0335-7, (2020).
  • Incorporating putatively neutral and adaptive genomic data into marine conservation planning, Conservation Biology, 10.1111/cobi.13609, 0, 0, (2020).
  • Ups and downs: genetic differentiation among populations of the Podocarpus (Podocarpaceae) species in Mesoamerica, Molecular Phylogenetics and Evolution, 10.1016/j.ympev.2019.05.025, (2019).
  • Genes on the edge: A framework to detect genetic diversity imperiled by climate change, Global Change Biology, 10.1111/gcb.14740, 25, 12, (4034-4047), (2019).
  • Phylin 2.0: Extending the phylogeographical interpolation method to include uncertainty and user‐defined distance metrics, Molecular Ecology Resources, 10.1111/1755-0998.13010, 19, 4, (1081-1094), (2019).
  • Allopatric diversification and evolutionary melting pot in a North African Palearctic relict: The biogeographic history of Salamandra algira, Molecular Phylogenetics and Evolution, 10.1016/j.ympev.2018.10.018, (2018).
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  • Lineage Range Estimation Method Reveals Fine-Scale Endemism Linked to Pleistocene Stability in Australian Rainforest Herpetofauna, PLOS ONE, 10.1371/journal.pone.0126274, 10, 5, (e0126274), (2015).

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