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Filtering nucleotide sites by phylogenetic signal to noise ratio increases confidence in the Neoaves phylogeny generated from ultraconserved elements.


ABSTRACT: Despite genome scale analyses, high-level relationships among Neoaves birds remain contentious. The placements of the Neoaves superorders are notoriously difficult to resolve because they involve deep splits followed by short internodes. Using our approach, we investigate whether filtering UCE loci on their phylogenetic signal to noise ratio helps to resolve key nodes in the Neoaves tree of life. We find that our analysis of data sets filtered for high signal to noise ratio results in topologies that are inconsistent with unfiltered results but that are congruent with whole-genome analyses. These relationships include the Columbea?+?Passerea sister relationship and the Phaethontimorphae?+?Aequornithia sister relationship. We also find increased statistical support for more recent nodes (i.e. the Pelecanidae?+?Ardeidae sister relationship, the Eucavitaves clade, and the Otidiformes?+?Musophagiformes sister relationship). We also find instances where support is reduced for well-established clades, possibly due to the removal of sites with moderate signal-to-noise ratio. Our results suggest that filtering on the basis of signal to noise ratio is a useful tool for resolving problematic splits in phylogenomic data sets.

SUBMITTER: Gilbert PS 

PROVIDER: S-EPMC6217972 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

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Filtering nucleotide sites by phylogenetic signal to noise ratio increases confidence in the Neoaves phylogeny generated from ultraconserved elements.

Gilbert Princess S PS   Wu Jing J   Simon Margaret W MW   Sinsheimer Janet S JS   Alfaro Michael E ME  

Molecular phylogenetics and evolution 20180404


Despite genome scale analyses, high-level relationships among Neoaves birds remain contentious. The placements of the Neoaves superorders are notoriously difficult to resolve because they involve deep splits followed by short internodes. Using our approach, we investigate whether filtering UCE loci on their phylogenetic signal to noise ratio helps to resolve key nodes in the Neoaves tree of life. We find that our analysis of data sets filtered for high signal to noise ratio results in topologies  ...[more]

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