Ancestral Sequence Reconstruction with Maximum Parsimony
被引:0
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作者:
Lina Herbst
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机构:Greifswald University,Institute for Mathematics and Computer Science
Lina Herbst
Mareike Fischer
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机构:Greifswald University,Institute for Mathematics and Computer Science
Mareike Fischer
机构:
[1] Greifswald University,Institute for Mathematics and Computer Science
来源:
Bulletin of Mathematical Biology
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2017年
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79卷
关键词:
Maximum Parsimony;
Fitch algorithm;
Ancestral sequence reconstruction;
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摘要:
One of the main aims in phylogenetics is the estimation of ancestral sequences based on present-day data like, for instance, DNA alignments. One way to estimate the data of the last common ancestor of a given set of species is to first reconstruct a phylogenetic tree with some tree inference method and then to use some method of ancestral state inference based on that tree. One of the best-known methods both for tree inference and for ancestral sequence inference is Maximum Parsimony (MP). In this manuscript, we focus on this method and on ancestral state inference for fully bifurcating trees. In particular, we investigate a conjecture published by Charleston and Steel in 1995 concerning the number of species which need to have a particular state, say a, at a particular site in order for MP to unambiguously return a as an estimate for the state of the last common ancestor. We prove the conjecture for all even numbers of character states, which is the most relevant case in biology. We also show that the conjecture does not hold in general for odd numbers of character states, but also present some positive results for this case.
机构:
Univ Oregon, Ctr Ecol & Evolutionary Biol, Eugene, OR 97403 USA
Univ Oregon, Dept Comp & Informat Sci, Eugene, OR 97403 USAUniv Oregon, Ctr Ecol & Evolutionary Biol, Eugene, OR 97403 USA
Hanson-Smith, Victor
Kolaczkowski, Bryan
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机构:
Univ Oregon, Ctr Ecol & Evolutionary Biol, Eugene, OR 97403 USAUniv Oregon, Ctr Ecol & Evolutionary Biol, Eugene, OR 97403 USA
Kolaczkowski, Bryan
Thornton, Joseph W.
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机构:
Univ Oregon, Ctr Ecol & Evolutionary Biol, Eugene, OR 97403 USA
Univ Oregon, Howard Hughes Med Inst, Eugene, OR 97403 USAUniv Oregon, Ctr Ecol & Evolutionary Biol, Eugene, OR 97403 USA
机构:
European Mol Biol Lab, European Bioinformat Inst, Wellcome Genome Campus, Hinxton, England
Univ Fed Minas Gerais, Dept Biochem & Immunol, Belo Horizonte, MG, Brazil
Fed Univ Para, Dept Genet & Mol Biol, Lab Human & Med Genet, Belem, Para, BrazilEuropean Mol Biol Lab, European Bioinformat Inst, Wellcome Genome Campus, Hinxton, England
Vialle, Ricardo Assuncao
Tamuri, Asif U.
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机构:
European Mol Biol Lab, European Bioinformat Inst, Wellcome Genome Campus, Hinxton, England
UCL, Res IT Serv, London, EnglandEuropean Mol Biol Lab, European Bioinformat Inst, Wellcome Genome Campus, Hinxton, England