Literature DB >> 966292

Criteria for optimising phylogenetic trees and the problem of determining the root of a tree.

D Penny.   

Abstract

The process of determining the optimal phylogenetic tree from amino acid sequences or comparable data is divided into six stages. Particular attention is given both to the criteria that are used when testing for the optimal tree and the problem of determining the position of the original ancestor. Four types of criteria for evaluating the optimal tree are considered: 1. parsimony (fewest total changes), 2. path lengths from an ancestor to existing species, 3. subtracting the difference between each pair of species as measured on the tree and as compared directly with the data ("excess differences"), 4. Moore Residual Coefficient. These criteria are examined on a set of test data and some of the reasons for the differences among them are discussed. For example, the "average percent standard deviation" weights excess differences unequally in inverse proportion to the square of the observed differences. The Moore Residual Coefficient and the "excess differences" will not necessarily give a value of zero when there are no duplicated changes unless there can only be two states for each character (i.e. binary data). The path length and difference criteria (as well as the Moore Residual Coefficient) give unequal weighting to the individual branches of the tree by counting some branches more times than others. Particularly because of this some criteria will reject trees that are equally parsimonious and the criteria are said to be invalid. However the criterion of parsimony is insensitive in that it can give the same value for several basic networks and it does not specify the position of the original ancestor, the root of the tree. The importance is emphasised of stating a model and examining its predictions before a criterion is chosen to select the best network. The number of rooted trees that can be derived from a basic network (or unrooted tree) is described in relation to how detailed a description of the original ancestor is required. Four methods are described for determining the position of the root of the tree or original ancestor. Each method depends upon some additional information to that used in constructing the basic network and the method chosen will depend on this additional knowledge.

Mesh:

Year:  1976        PMID: 966292     DOI: 10.1007/BF01739097

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  12 in total

1.  Classification: purposes, principles, progress, prospects.

Authors:  R R Sokal
Journal:  Science       Date:  1974-09-27       Impact factor: 47.728

2.  Evolutionary clock: the rate of evolution of rattlesnake cytochrome c.

Authors:  D Penny
Journal:  J Mol Evol       Date:  1974       Impact factor: 2.395

3.  The amino acid sequence of cytochrome c from Helix aspersa Müller (garden snail).

Authors:  R H Brown; M Richardson; D Boulter; J A Ramshaw; R P Jefferies
Journal:  Biochem J       Date:  1972-07       Impact factor: 3.857

4.  Rate of change of concomitantly variable codons.

Authors:  W M Fitch
Journal:  J Mol Evol       Date:  1971       Impact factor: 2.395

5.  Is the fixation of observable mutations distributed randomly among the three nucleotide positions of the codon?

Authors:  W M Fitch
Journal:  J Mol Evol       Date:  1973       Impact factor: 2.395

6.  An iterative approach from the standpoint of the additive hypothesis to the dendrogram problem posed by molecular data sets.

Authors:  G W Moore; M Goodman; J Barnabas
Journal:  J Theor Biol       Date:  1973-03       Impact factor: 2.691

7.  Empirical support for a stochastic model of evolution.

Authors:  R Holmquist
Journal:  J Mol Evol       Date:  1972       Impact factor: 2.395

Review 8.  Construction of phylogenetic trees.

Authors:  W M Fitch; E Margoliash
Journal:  Science       Date:  1967-01-20       Impact factor: 47.728

9.  On the rate of molecular evolution.

Authors:  M Kimura; T Ota
Journal:  J Mol Evol       Date:  1971       Impact factor: 2.395

10.  The phylogeny of human globin genes investigated by the maximum parsimony method.

Authors:  M Goodman; G W Moore; J Barnabas; G Matsuda
Journal:  J Mol Evol       Date:  1974-02-28       Impact factor: 2.395

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  14 in total

1.  A general approach to proving the minimality of phylogenetic trees illustrated by an example with a set of 23 vertebrates.

Authors:  L R Foulds; D Penny; M D Hendy
Journal:  J Mol Evol       Date:  1979-07-18       Impact factor: 2.395

2.  A survey of multiple sequence comparison methods.

Authors:  S C Chan; A K Wong; D K Chiu
Journal:  Bull Math Biol       Date:  1992-07       Impact factor: 1.758

3.  Application of the character compatibility approach to generalized molecular sequence data: branching order of the proteobacterial subdivisions.

Authors:  Radhey S Gupta; Peter H A Sneath
Journal:  J Mol Evol       Date:  2006-12-09       Impact factor: 2.395

4.  Phylogenetic studies of two rubredoxins from sulfate reducing bacteria.

Authors:  H Vogel; M Bruschi; J Le Gall
Journal:  J Mol Evol       Date:  1977-04-29       Impact factor: 2.395

5.  The structural periodicity of E. coli ribosomal proteins.

Authors:  O C Ivanov; P S Kenderov; J P Revalski
Journal:  Orig Life       Date:  1984

6.  Techniques for the verification of minimal phylogenetic trees illustrated with ten mammalian haemoglobin sequences.

Authors:  D Penny; M D Hendy; L R Foulds
Journal:  Biochem J       Date:  1980-04-01       Impact factor: 3.857

7.  A graph theoretic approach to the development of minimal phylogenetic trees.

Authors:  L R Foulds; M D Hendy; D Penny
Journal:  J Mol Evol       Date:  1979-07-18       Impact factor: 2.395

8.  The evolution of function within the Nudix homology clan.

Authors:  John R Srouji; Anting Xu; Annsea Park; Jack F Kirsch; Steven E Brenner
Journal:  Proteins       Date:  2017-03-16

9.  From pairs of most similar sequences to phylogenetic best matches.

Authors:  Peter F Stadler; Manuela Geiß; David Schaller; Alitzel López Sánchez; Marcos González Laffitte; Dulce I Valdivia; Marc Hellmuth; Maribel Hernández Rosales
Journal:  Algorithms Mol Biol       Date:  2020-04-09       Impact factor: 1.405

10.  Rewriting evolution--"been there, done that".

Authors:  David Penny
Journal:  Genome Biol Evol       Date:  2013       Impact factor: 3.416

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