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Sökning: id:"swepub:oai:DiVA.org:uu-430588" > Estimating Phylogen...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004106naa a2200445 4500
001oai:DiVA.org:uu-430588
003SwePub
008210111s2020 | |||||||||||000 ||eng|
024a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4305882 URI
024a https://doi.org/10.1093/sysbio/syaa0032 DOI
040 a (SwePub)uu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Varon-Gonzalez, Ceferinou Univ Manchester, Sch Biol Sci, Michael Smith Bldg,Oxford Rd, Manchester M13 9PT, Lancs, England.4 aut
2451 0a Estimating Phylogenies from Shape and Similar Multidimensional Data :b Why It Is Not Reliable
264 c 2020-01-27
264 1b Oxford University Press (OUP),c 2020
338 a print2 rdacarrier
520 a In recent years, there has been controversy whether multidimensional data such as geometric morphometric data or information on gene expression can be used for estimating phylogenies. This study uses simulations of evolution in multidimensional phenotype spaces to address this question and to identify specific factors that are important for answering it. Most of the simulations use phylogenies with four taxa, so that there are just three possible unrooted trees and the effect of different combinations of branch lengths can be studied systematically. In a comparison of methods, squared-change parsimony performed similarly well as maximum likelihood, and both methods outperformed Wagner and Euclidean parsimony, neighbor-joining and UPGMA. Under an evolutionary model of isotropic Brownian motion, phylogeny can be estimated reliably if dimensionality is high, even with relatively unfavorable combinations of branch lengths. By contrast, if there is phenotypic integration such that most variation is concentrated in one or a few dimensions, the reliability of phylogenetic estimates is severely reduced. Evolutionary models with stabilizing selection also produce highly unreliable estimates, which are little better than picking a phylogenetic tree at random. To examine how these results apply to phylogenies with more than four taxa, we conducted further simulations with up to eight taxa, which indicated that the effects of dimensionality and phenotypic integration extend to more than four taxa, and that convergence among internal nodes may produce additional complications specifically for greater numbers of taxa. Overall, the simulations suggest that multidimensional data, under evolutionary models that are plausible for biological data, do not produce reliable estimates of phylogeny.
650 7a NATURVETENSKAPx Biologix Evolutionsbiologi0 (SwePub)106152 hsv//swe
650 7a NATURAL SCIENCESx Biological Sciencesx Evolutionary Biology0 (SwePub)106152 hsv//eng
650 7a NATURVETENSKAPx Biologix Biologisk systematik0 (SwePub)106122 hsv//swe
650 7a NATURAL SCIENCESx Biological Sciencesx Biological Systematics0 (SwePub)106122 hsv//eng
653 a Brownian motion
653 a gene expression data
653 a geometric morphometrics
653 a morphological integration
653 a squared-change parsimony
653 a phylogeny
653 a shape
653 a stabilizing selection
700a Whelan, Simonu Uppsala universitet,Evolutionsbiologi,Univ Manchester, Sch Biol Sci, Michael Smith Bldg,Oxford Rd, Manchester M13 9PT, Lancs, England.4 aut0 (Swepub:uu)simwh294
700a Klingenberg, Christian Peteru Univ Manchester, Sch Biol Sci, Michael Smith Bldg,Oxford Rd, Manchester M13 9PT, Lancs, England.4 aut
710a Univ Manchester, Sch Biol Sci, Michael Smith Bldg,Oxford Rd, Manchester M13 9PT, Lancs, England.b Evolutionsbiologi4 org
773t Systematic Biologyd : Oxford University Press (OUP)g 69:5, s. 863-883q 69:5<863-883x 1063-5157x 1076-836X
856u https://www.research.manchester.ac.uk/portal/files/157889650/SystBiol_acceptedVersion.pdf
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-430588
8564 8u https://doi.org/10.1093/sysbio/syaa003

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