Simon Dellicour1, Rebecca Rose2, Nuno R Faria3, Philippe Lemey1, Oliver G Pybus3. 1. Department of Microbiology and Immunology, Rega Institute for Medical Research, Clinical and Epidemiological Virology, KU Leuven-University of Leuven, Minderbroedersstaat 10, Leuven 3000, Belgium. 2. BioInfoExperts LLC, Norfolk, Virginia, USA, 23518. 3. Department of Zoology, University of Oxford, Oxford OX1 3PS, UK.
Abstract
SERAPHIM ("Studying Environmental Rasters and PHylogenetically Informed Movements") is a suite of computational methods developed to study phylogenetic reconstructions of spatial movement in an environmental context. SERAPHIM extracts the spatio-temporal information contained in estimated phylogenetic trees and uses this information to calculate summary statistics of spatial spread and to visualize dispersal history. Most importantly, SERAPHIM enables users to study the impact of customized environmental variables on the spread of the study organism. Specifically, given an environmental raster, SERAPHIM computes environmental "weights" for each phylogeny branch, which represent the degree to which the environmental variable impedes (or facilitates) lineage movement. Correlations between movement duration and these environmental weights are then assessed, and the statistical significances of these correlations are evaluated using null distributions generated by a randomization procedure. SERAPHIM can be applied to any phylogeny whose nodes are annotated with spatial and temporal information. At present, such phylogenies are most often found in the field of emerging infectious diseases, but will become increasingly common in other biological disciplines as population genomic data grows. AVAILABILITY AND IMPLEMENTATION: SERAPHIM 1.0 is freely available from http://evolve.zoo.ox.ac.uk/ R package, source code, example files, tutorials and a manual are also available from this website. CONTACT: simon.dellicour@kuleuven.be or oliver.pybus@zoo.ox.ac.ukSupplementary information: Supplementary data are available at Bioinformatics online.
SERAPHIM ("Studying Environmental Rasters and PHylogenetically Informed Movements") is a suite of computational methods developed to study phylogenetic reconstructions of spatial movement in an environmental context. SERAPHIM extracts the spatio-temporal information contained in estimated phylogenetic trees and uses this information to calculate summary statistics of spatial spread and to visualize dispersal history. Most importantly, SERAPHIM enables users to study the impact of customized environmental variables on the spread of the study organism. Specifically, given an environmental raster, SERAPHIM computes environmental "weights" for each phylogeny branch, which represent the degree to which the environmental variable impedes (or facilitates) lineage movement. Correlations between movement duration and these environmental weights are then assessed, and the statistical significances of these correlations are evaluated using null distributions generated by a randomization procedure. SERAPHIM can be applied to any phylogeny whose nodes are annotated with spatial and temporal information. At present, such phylogenies are most often found in the field of emerging infectious diseases, but will become increasingly common in other biological disciplines as population genomic data grows. AVAILABILITY AND IMPLEMENTATION: SERAPHIM 1.0 is freely available from http://evolve.zoo.ox.ac.uk/ R package, source code, example files, tutorials and a manual are also available from this website. CONTACT: simon.dellicour@kuleuven.be or oliver.pybus@zoo.ox.ac.ukSupplementary information: Supplementary data are available at Bioinformatics online.
Authors: Simon Dellicour; Philippe Lemey; Jean Artois; Tommy T Lam; Alice Fusaro; Isabella Monne; Giovanni Cattoli; Dmitry Kuznetsov; Ioannis Xenarios; Gwenaelle Dauphin; Wantanee Kalpravidh; Sophie Von Dobschuetz; Filip Claes; Scott H Newman; Marc A Suchard; Guy Baele; Marius Gilbert Journal: Bioinformatics Date: 2020-04-01 Impact factor: 6.937
Authors: Simon Dellicour; Guy Baele; Gytis Dudas; Nuno R Faria; Oliver G Pybus; Marc A Suchard; Andrew Rambaut; Philippe Lemey Journal: Nat Commun Date: 2018-06-08 Impact factor: 14.919
Authors: N R Faria; M U G Kraemer; S C Hill; J Goes de Jesus; R S Aguiar; F C M Iani; J Xavier; J Quick; L du Plessis; S Dellicour; J Thézé; R D O Carvalho; G Baele; C-H Wu; P P Silveira; M B Arruda; M A Pereira; G C Pereira; J Lourenço; U Obolski; L Abade; T I Vasylyeva; M Giovanetti; D Yi; D J Weiss; G R W Wint; F M Shearer; S Funk; B Nikolay; V Fonseca; T E R Adelino; M A A Oliveira; M V F Silva; L Sacchetto; P O Figueiredo; I M Rezende; E M Mello; R F C Said; D A Santos; M L Ferraz; M G Brito; L F Santana; M T Menezes; R M Brindeiro; A Tanuri; F C P Dos Santos; M S Cunha; J S Nogueira; I M Rocco; A C da Costa; S C V Komninakis; V Azevedo; A O Chieppe; E S M Araujo; M C L Mendonça; C C Dos Santos; C D Dos Santos; A M Mares-Guia; R M R Nogueira; P C Sequeira; R G Abreu; M H O Garcia; A L Abreu; O Okumoto; E G Kroon; C F C de Albuquerque; K Lewandowski; S T Pullan; M Carroll; T de Oliveira; E C Sabino; R P Souza; M A Suchard; P Lemey; G S Trindade; B P Drumond; A M B Filippis; N J Loman; S Cauchemez; L C J Alcantara; O G Pybus Journal: Science Date: 2018-08-23 Impact factor: 47.728
Authors: Sarah C Hill; Renato de Souza; Julien Thézé; Ingra Claro; Renato S Aguiar; Leandro Abade; Fabiana C P Santos; Mariana S Cunha; Juliana S Nogueira; Flavia C S Salles; Iray M Rocco; Adriana Y Maeda; Fernanda G S Vasami; Louis du Plessis; Paola P Silveira; Jaqueline G de Jesus; Joshua Quick; Natália C C A Fernandes; Juliana M Guerra; Rodrigo A Réssio; Marta Giovanetti; Luiz C J Alcantara; Cinthya S Cirqueira; Josué Díaz-Delgado; Fernando L L Macedo; Maria do Carmo S T Timenetsky; Regiane de Paula; Roberta Spinola; Juliana Telles de Deus; Luís F Mucci; Rosa Maria Tubaki; Regiane M T de Menezes; Patrícia L Ramos; Andre L de Abreu; Laura N Cruz; Nick Loman; Simon Dellicour; Oliver G Pybus; Ester C Sabino; Nuno R Faria Journal: PLoS Pathog Date: 2020-08-07 Impact factor: 6.823