Phylogenetic diversity metrics from molecular phylogenies: modelling expected degree of error under realistic rate variation
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Altmetric Citations
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.author | Ritchie, Andrew![]() | |
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dc.contributor.author | Hua, Xia![]() | |
dc.contributor.author | Cardillo, Marcel![]() | |
dc.contributor.author | Yaxley, Keaghan | |
dc.contributor.author | Dinnage, Russell![]() | |
dc.contributor.author | Bromham, Lindell![]() | |
dc.date.accessioned | 2022-10-06T22:02:52Z | |
dc.date.available | 2022-10-06T22:02:52Z | |
dc.identifier.issn | 1366-9516 | |
dc.identifier.uri | http://hdl.handle.net/1885/274342 | |
dc.description.abstract | 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 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.sponsorship | This work was supported by the Australian Research Council grant DP190101916 | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_AU | |
dc.publisher | Blackwell Publishing Ltd | |
dc.rights | © 2020 The Authors. Diversity and Distributions published by John Wiley & Sons Ltd | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | Diversity and Distributions | |
dc.subject | Phylogenetic diversity | |
dc.subject | evolutionary distinctiveness | |
dc.subject | relaxed clocks | |
dc.subject | conservation | |
dc.subject | EDGE of existence | |
dc.subject | species assemblage | |
dc.title | Phylogenetic diversity metrics from molecular phylogenies: modelling expected degree of error under realistic rate variation | |
dc.type | Journal article | |
local.description.notes | Imported from ARIES | |
local.identifier.citationvolume | 27 | |
dc.date.issued | 2021 | |
local.identifier.absfor | 410401 - Conservation and biodiversity | |
local.identifier.absfor | 310412 - Speciation and extinction | |
local.identifier.ariespublication | a383154xPUB15578 | |
local.publisher.url | https://www.wiley.com/en-gb | |
local.type.status | Published Version | |
local.contributor.affiliation | Ritchie, Andrew, College of Science, ANU | |
local.contributor.affiliation | Hua, Xia, College of Science, ANU | |
local.contributor.affiliation | Cardillo, Marcel, College of Science, ANU | |
local.contributor.affiliation | Yaxley, Keaghan, College of Science, ANU | |
local.contributor.affiliation | Dinnage, Russell, College of Science, ANU | |
local.contributor.affiliation | Bromham, Lindell, College of Science, ANU | |
dc.relation | http://purl.org/au-research/grants/arc/DP190101916 | |
local.bibliographicCitation.startpage | 164 | |
local.bibliographicCitation.lastpage | 178 | |
local.identifier.doi | 10.1111/ddi.13179 | |
dc.date.updated | 2021-11-28T07:21:42Z | |
local.identifier.scopusID | 2-s2.0-85093980877 | |
dcterms.accessRights | Open Access | |
dc.provenance | This 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.license | Creative Commons Attribution License | |
Collections | ANU Research Publications |
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