Articles producció científica> Enginyeria Química

The MultiFurcating Neighbor-Joining Algorithm for Reconstructing Polytomic Phylogenetic Trees

  • Identification data

    Identifier: imarina:9331068
  • Authors:

    Fernández, A
    Segura-Alabart, N
    Serratosa, F
    Journal Of Molecular Evolution
    10.1007/s00239-023-10134-z
    Journal Of Molecular Evolution.
  • Others:

    Author, as appears in the article.: Fernández, A; Segura-Alabart, N; Serratosa, F
    Department: Enginyeria Informàtica i Matemàtiques Enginyeria Química
    URV's Author/s: Fernández Sabater, Alberto / Segura Alabart, Natàlia / Serratosa Casanelles, Francesc d'Assís
    Keywords: Ties in proximity Polytomy Neighbor-joining Distance-based methods Construction ties in proximity saitou polytomy neighbor-joining
    Abstract: Results from phylogenetic analyses that study the evolution of species according to their biological characteristics are frequently structured as phylogenetic trees. One of the most widely used methods for reconstructing them is the distance-based method known as the neighbor-joining (NJ) algorithm. It is known that the NJ algorithm can produce different phylogenetic trees depending on the order of the taxa in the input matrix of evolutionary distances, because the method only yields bifurcating branches or dichotomies. According to this, results and conclusions published in articles that only calculate one of the possible dichotomic phylogenetic trees are somehow biased. We have generalized the formulas used in the NJ algorithm to cope with Multifurcating branches or polytomies, and we have called this new variant of the method the multifurcating neighbor-joining (MFNJ) algorithm. Instead of the dichotomic phylogenetic trees reconstructed by the NJ algorithm, the MFNJ algorithm produces polytomic phylogenetic trees. The main advantage of using the MFNJ algorithm is that only one phylogenetic tree can be obtained, which makes the experimental section of any study completely reproducible and unbiased to external issues such as the input order of taxa.© 2023. The Author(s).
    Thematic Areas: Molecular biology Medicina veterinaria Medicina i Genetics & heredity Genetics General medicine Evolutionary biology Ecology, evolution, behavior and systematics Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Biotecnología Biology, miscellaneous Biodiversidade Biochemistry & molecular biology
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: natalia.segura@urv.cat natalia.segura@urv.cat alberto.fernandez@urv.cat francesc.serratosa@urv.cat
    Author identifier: 0000-0002-1241-1646 0000-0001-6112-5913
    Record's date: 2024-07-20
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://link.springer.com/article/10.1007/s00239-023-10134-z
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Journal Of Molecular Evolution.
    APA: Fernández, A; Segura-Alabart, N; Serratosa, F (2023). The MultiFurcating Neighbor-Joining Algorithm for Reconstructing Polytomic Phylogenetic Trees. Journal Of Molecular Evolution, (), -. DOI: 10.1007/s00239-023-10134-z
    Article's DOI: 10.1007/s00239-023-10134-z
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2023
    Publication Type: Journal Publications
  • Keywords:

    Biochemistry & Molecular Biology,Biology, Miscellaneous,Ecology, Evolution, Behavior and Systematics,Evolutionary Biology,Genetics,Genetics & Heredity,Molecular Biology
    Ties in proximity
    Polytomy
    Neighbor-joining
    Distance-based methods
    Construction
    ties in proximity
    saitou
    polytomy
    neighbor-joining
    Molecular biology
    Medicina veterinaria
    Medicina i
    Genetics & heredity
    Genetics
    General medicine
    Evolutionary biology
    Ecology, evolution, behavior and systematics
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Biotecnología
    Biology, miscellaneous
    Biodiversidade
    Biochemistry & molecular biology
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