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We are analyzing https://link.springer.com/article/10.1007/bf01840887.

Title:
Accuracy of estimated phylogenetic trees from molecular data | Journal of Molecular Evolution
Description:
The accuracies and efficiencies of four different methods for constructing phylogenetic trees from molecular data were examined by using computer simulation. The methods examined are UPGMA, Fitch and Margoliash
Website Age:
28 years and 1 months (reg. 1997-05-29).

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  • Science
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Keywords {πŸ”}

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Topics {βœ’οΈ}

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Schema {πŸ—ΊοΈ}

WebPage:
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         headline:Accuracy of estimated phylogenetic trees from molecular data
         description:The accuracies and efficiencies of four different methods for constructing phylogenetic trees from molecular data were examined by using computer simulation. The methods examined are UPGMA, Fitch and Margoliash's (1967) (F/M) method, Farris' (1972) method, and the modified Farris method (Tateno, Nei, and Tajima, this paper). In the computer simulation, eight OTUs (32 OTUs in one case) were assumed to evolve according to a given model tree, and the evolutionary change of a sequence of 300 nucleotides was followed. The nucleotide substitution in this sequence was assumed to occur following the Poisson distribution, negative binomial distribution or a model of temporally varying rate. Estimates of nucleotide substitutions (genetic distances) were then computed for all pairs of the nucleotide sequences that were generated at the end of the evolution considered, and from these estimates a phylogenetic tree was reconstructed and compared with the true model tree. The results of this comparison indicate that when the coefficient of variation of branch length is large the Farris and modified Farris methods tend to be better than UPGMA and the F/M method for obtaining a good topology. For estimating the number of nucleotide substitutions for each branch of the tree, however, the modified Farris method shows a better performance than the Farris method. When the coefficient of variation of branch length is small, however, UPGMA shows the best performance among the four methods examined. Nevertheless, any tree-making method is likely to make errors in obtaining the correct topology with a high probability, unless all branch lengths of the true tree are sufficiently long. It is also shown that the agreement between patristic and observed genetic distances is not a good indicator of the goodness of the tree obtained.
         datePublished:
         dateModified:
         pageStart:387
         pageEnd:404
         sameAs:https://doi.org/10.1007/BF01840887
         keywords:
            Nucleotide substitution
            Genetic distance
            Species tree
            Gene tree
            UPGMA
            Fitch/Margoliash method
            Farris method
            Modified Farris method
            Evolutionary Biology
            Microbiology
            Plant Sciences
            Plant Genetics and Genomics
            Animal Genetics and Genomics
            Cell Biology
         image:
         isPartOf:
            name:Journal of Molecular Evolution
            issn:
               1432-1432
               0022-2844
            volumeNumber:18
            type:
               Periodical
               PublicationVolume
         publisher:
            name:Springer-Verlag
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               type:ImageObject
            type:Organization
         author:
               name:Yoshio Tateno
               affiliation:
                     name:University of Texas at Houston
                     address:
                        name:Center for Demographic and Population Genetics, University of Texas at Houston, Houston, USA
                        type:PostalAddress
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               type:Person
               name:Masatoshi Nei
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                     name:University of Texas at Houston
                     address:
                        name:Center for Demographic and Population Genetics, University of Texas at Houston, Houston, USA
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Fumio Tajima
               affiliation:
                     name:University of Texas at Houston
                     address:
                        name:Center for Demographic and Population Genetics, University of Texas at Houston, Houston, USA
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ScholarlyArticle:
      headline:Accuracy of estimated phylogenetic trees from molecular data
      description:The accuracies and efficiencies of four different methods for constructing phylogenetic trees from molecular data were examined by using computer simulation. The methods examined are UPGMA, Fitch and Margoliash's (1967) (F/M) method, Farris' (1972) method, and the modified Farris method (Tateno, Nei, and Tajima, this paper). In the computer simulation, eight OTUs (32 OTUs in one case) were assumed to evolve according to a given model tree, and the evolutionary change of a sequence of 300 nucleotides was followed. The nucleotide substitution in this sequence was assumed to occur following the Poisson distribution, negative binomial distribution or a model of temporally varying rate. Estimates of nucleotide substitutions (genetic distances) were then computed for all pairs of the nucleotide sequences that were generated at the end of the evolution considered, and from these estimates a phylogenetic tree was reconstructed and compared with the true model tree. The results of this comparison indicate that when the coefficient of variation of branch length is large the Farris and modified Farris methods tend to be better than UPGMA and the F/M method for obtaining a good topology. For estimating the number of nucleotide substitutions for each branch of the tree, however, the modified Farris method shows a better performance than the Farris method. When the coefficient of variation of branch length is small, however, UPGMA shows the best performance among the four methods examined. Nevertheless, any tree-making method is likely to make errors in obtaining the correct topology with a high probability, unless all branch lengths of the true tree are sufficiently long. It is also shown that the agreement between patristic and observed genetic distances is not a good indicator of the goodness of the tree obtained.
      datePublished:
      dateModified:
      pageStart:387
      pageEnd:404
      sameAs:https://doi.org/10.1007/BF01840887
      keywords:
         Nucleotide substitution
         Genetic distance
         Species tree
         Gene tree
         UPGMA
         Fitch/Margoliash method
         Farris method
         Modified Farris method
         Evolutionary Biology
         Microbiology
         Plant Sciences
         Plant Genetics and Genomics
         Animal Genetics and Genomics
         Cell Biology
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         name:Journal of Molecular Evolution
         issn:
            1432-1432
            0022-2844
         volumeNumber:18
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            Periodical
            PublicationVolume
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         name:Springer-Verlag
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            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Yoshio Tateno
            affiliation:
                  name:University of Texas at Houston
                  address:
                     name:Center for Demographic and Population Genetics, University of Texas at Houston, Houston, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Masatoshi Nei
            affiliation:
                  name:University of Texas at Houston
                  address:
                     name:Center for Demographic and Population Genetics, University of Texas at Houston, Houston, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Fumio Tajima
            affiliation:
                  name:University of Texas at Houston
                  address:
                     name:Center for Demographic and Population Genetics, University of Texas at Houston, Houston, USA
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      name:Journal of Molecular Evolution
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      name:University of Texas at Houston
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         name:Center for Demographic and Population Genetics, University of Texas at Houston, Houston, USA
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      name:University of Texas at Houston
      address:
         name:Center for Demographic and Population Genetics, University of Texas at Houston, Houston, USA
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            name:University of Texas at Houston
            address:
               name:Center for Demographic and Population Genetics, University of Texas at Houston, Houston, USA
               type:PostalAddress
            type:Organization
      name:Masatoshi Nei
      affiliation:
            name:University of Texas at Houston
            address:
               name:Center for Demographic and Population Genetics, University of Texas at Houston, Houston, USA
               type:PostalAddress
            type:Organization
      name:Fumio Tajima
      affiliation:
            name:University of Texas at Houston
            address:
               name:Center for Demographic and Population Genetics, University of Texas at Houston, Houston, USA
               type:PostalAddress
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      name:Center for Demographic and Population Genetics, University of Texas at Houston, Houston, USA
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      name:Center for Demographic and Population Genetics, University of Texas at Houston, Houston, USA
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