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Can sensitivity analysis help to detect long-branch attraction?
Tekijät: Lehtonen S
Kustantaja: ACADEMIC PRESS INC ELSEVIER SCIENCE
Julkaisuvuosi: 2011
Journal: Molecular Phylogenetics and Evolution
Tietokannassa oleva lehden nimi: MOLECULAR PHYLOGENETICS AND EVOLUTION
Lehden akronyymi: MOL PHYLOGENET EVOL
Numero sarjassa: 3
Vuosikerta: 61
Numero: 3
Aloitussivu: 899
Lopetussivu: 903
Sivujen määrä: 5
ISSN: 1055-7903
DOI: https://doi.org/10.1016/j.ympev.2011.08.007
Tiivistelmä
The behavior of nodal support and stability in the presence of long branches were examined under simulations and an analysis of real data. Relatively short branches were typically correctly resolved, received high bootstrap support, and were stable in sensitivity analyses. Longer branches received lower support and stability measures, and were often incorrectly resolved due to the long-branch attraction. Support and stability does not always correlate, and in the case of mammalian mitochondrial tree, well supported but unstable nodes were typically associated with long-branch attraction. Very long branches, on the other hand, may be incorrectly resolved with high support and stability indices. These patterns were observed both in simulations, and in the real data. The results indicate that sensitivity analysis may help to reveal phylogenetic uncertainty hidden behind artificially high support. (C) 2011 Elsevier Inc. All rights reserved.
The behavior of nodal support and stability in the presence of long branches were examined under simulations and an analysis of real data. Relatively short branches were typically correctly resolved, received high bootstrap support, and were stable in sensitivity analyses. Longer branches received lower support and stability measures, and were often incorrectly resolved due to the long-branch attraction. Support and stability does not always correlate, and in the case of mammalian mitochondrial tree, well supported but unstable nodes were typically associated with long-branch attraction. Very long branches, on the other hand, may be incorrectly resolved with high support and stability indices. These patterns were observed both in simulations, and in the real data. The results indicate that sensitivity analysis may help to reveal phylogenetic uncertainty hidden behind artificially high support. (C) 2011 Elsevier Inc. All rights reserved.
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