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Phylogenetic diversity metrics from molecular phylogenies: modelling expected degree of error under realistic rate variation

Ritchie, Andrew; Hua, Xia; Cardillo, Marcel; Yaxley, Keaghan; Dinnage, Russell; Bromham, Lindell

Description

Aim Phylogenetic diversity or phylo‐diversity measures use information about evolutionary history and relationships to inform conservation priorities. These metrics are usually derived from the branches of molecular phylogenies. But inferring phylogenetic timescale from molecular data relies on many assumptions about the evolutionary process, most of which are based on statistical convenience rather than biological information. Here we ask whether known patterns of variation in rate of...[Show more]

dc.contributor.authorRitchie, Andrew
dc.contributor.authorHua, Xia
dc.contributor.authorCardillo, Marcel
dc.contributor.authorYaxley, Keaghan
dc.contributor.authorDinnage, Russell
dc.contributor.authorBromham, Lindell
dc.date.accessioned2022-10-06T22:02:52Z
dc.date.available2022-10-06T22:02:52Z
dc.identifier.issn1366-9516
dc.identifier.urihttp://hdl.handle.net/1885/274342
dc.description.abstractAim Phylogenetic diversity or phylo‐diversity measures use information about evolutionary history and relationships to inform conservation priorities. These metrics are usually derived from the branches of molecular phylogenies. But inferring phylogenetic timescale from molecular data relies on many assumptions about the evolutionary process, most of which are based on statistical convenience rather than biological information. Here we ask whether known patterns of variation in rate of molecular evolution can lead to errors in phylo‐diversity measures. Location Global. Methods We generated sequences with biologically realistic rate variation, parameterized by empirically well‐supported relationships between species traits, macroevolutionary patterns and rate of molecular evolution. We then tested how well commonly used phylo‐diversity measures from these phylogenies reflected the true evolutionary history. Results We show that reconstructed Faith's phylogenetic diversity (FPD) measures differ from true values by an average of about 10% and up to 38%. Species rankings based on evolutionary distinctness (ED) are also affected by rate variation, with the ranks of taxa changing by up to 10‐11 positions after estimation. Main conclusions We have shown that realistic levels of rate variation can generate error in FPD and ED measures that could potentially influence prioritization ranking. Studies using metrics based on molecular phylogenetic branch lengths should consider the likely effect of uncertainty in phylogenetic reconstruction on their conclusions.
dc.description.sponsorshipThis work was supported by the Australian Research Council grant DP190101916
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherBlackwell Publishing Ltd
dc.rights© 2020 The Authors. Diversity and Distributions published by John Wiley & Sons Ltd
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceDiversity and Distributions
dc.subjectPhylogenetic diversity
dc.subjectevolutionary distinctiveness
dc.subjectrelaxed clocks
dc.subjectconservation
dc.subjectEDGE of existence
dc.subjectspecies assemblage
dc.titlePhylogenetic diversity metrics from molecular phylogenies: modelling expected degree of error under realistic rate variation
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume27
dc.date.issued2021
local.identifier.absfor410401 - Conservation and biodiversity
local.identifier.absfor310412 - Speciation and extinction
local.identifier.ariespublicationa383154xPUB15578
local.publisher.urlhttps://www.wiley.com/en-gb
local.type.statusPublished Version
local.contributor.affiliationRitchie, Andrew, College of Science, ANU
local.contributor.affiliationHua, Xia, College of Science, ANU
local.contributor.affiliationCardillo, Marcel, College of Science, ANU
local.contributor.affiliationYaxley, Keaghan, College of Science, ANU
local.contributor.affiliationDinnage, Russell, College of Science, ANU
local.contributor.affiliationBromham, Lindell, College of Science, ANU
dc.relationhttp://purl.org/au-research/grants/arc/DP190101916
local.bibliographicCitation.startpage164
local.bibliographicCitation.lastpage178
local.identifier.doi10.1111/ddi.13179
dc.date.updated2021-11-28T07:21:42Z
local.identifier.scopusID2-s2.0-85093980877
dcterms.accessRightsOpen Access
dc.provenanceThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
dc.rights.licenseCreative Commons Attribution License
CollectionsANU Research Publications



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