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Reconstruction of real and simulated phylogenies based on quartet plurality inference.
Avni, Eliran; Snir, Sagi.
Afiliação
  • Avni E; Department of Evolutionary Biology, University of Haifa, 199 Aba Khoushy Ave. Mount Carmel, Haifa, 3498838, Israel.
  • Snir S; Department of Evolutionary Biology, University of Haifa, 199 Aba Khoushy Ave. Mount Carmel, Haifa, 3498838, Israel. ssagi@research.haifa.ac.il.
BMC Genomics ; 19(Suppl 6): 570, 2018 Aug 13.
Article em En | MEDLINE | ID: mdl-30367577
ABSTRACT

BACKGROUND:

Deciphering the history of life on Earth has long been regarded as one of the most central tasks in biology. In past years, widespread discordance between the evolutionary histories of different groups of orthologous genes of prokaryotes have been revealed, primarily due to horizontal gene transfers (HGTs). Nonetheless, evidence that support a strong tree-like signal of evolution have been uncovered, despite the presence of HGT events. Therefore, a challenging task is to distill this tree-like signal from the noise induced by all sources of non-tree-like events.

RESULTS:

In this work we tackle this question, using real and simulated data. We first tighten a recent related theoretical result in this field. In a simulation study, we infer individual quartet topologies, and then use the inferred quartets to reconstruct simulated species trees. We demonstrate that accurate tree reconstruction is feasible despite surprisingly high rates of HGT. In a real data study, we construct phylogenies of two sets of prokaryotes, and show that our tree reconstruction scheme is comparable with (and complementary better than) other commonly used methods.

CONCLUSIONS:

Using a blend of theoretical and empirical investigations, our study proves the feasibility of accurate quartet-based phylogenetic reconstruction, the vast impact of HGT events notwithstanding.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia Tipo de estudo: Prognostic_studies Idioma: En Revista: BMC Genomics Assunto da revista: GENETICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Israel

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia Tipo de estudo: Prognostic_studies Idioma: En Revista: BMC Genomics Assunto da revista: GENETICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Israel