Exploring the relationship between sequence similarity and accurate phylogenetic trees
Cantarel, Brandi L.
Morrison, Hilary G.
MetadataShow full item record
We have characterized the relationship between accurate phylogenetic reconstruction and sequence similarity, testing whether high levels of sequence similarity can consistently produce accurate evolutionary trees. We generated protein families with known phylogenies using a modified version of the PAML/EVOLVER program that produces insertions and deletions as well as substitutions. Protein families were evolved over a range of 100–400 point accepted mutations; at these distances 63% of the families shared significant sequence similarity. Protein families were evolved using balanced and unbalanced trees, with ancient or recent radiations. In families sharing statistically significant similarity, about 60% of multiple sequence alignments were 95% identical to true alignments. To compare recovered topologies with true topologies, we used a score that reflects the fraction of clades that were correctly clustered. As expected, the accuracy of the phylogenies was greatest in the least divergent families. About 88% of phylogenies clustered over 80% of clades in families that shared significant sequence similarity, using Bayesian, parsimony, distance, and maximum likelihood methods. However, for protein families with short ancient branches (ancient radiation), only 30% of the most divergent (but statistically significant) families produced accurate phylogenies, and only about 70% of the second most highly conserved families, with median expectation values better than 10–60, produced accurate trees. These values represent upper bounds on expected tree accuracy for sequences with a simple divergence history; proteins from 700 Giardia families, with a similar range of sequence similarities but considerably more gaps, produced much less accurate trees. For our simulated insertions and deletions, correct multiple sequence alignments did not perform much better than those produced by T-COFFEE, and including sequences with expressed sequence tag–like sequencing errors did not significantly decrease phylogenetic accuracy. In general, although less-divergent sequence families produce more accurate trees, the likelihood of estimating an accurate tree is most dependent on whether radiation in the family was ancient or recent. Accuracy can be improved by combining genes from the same organism when creating species trees or by selecting protein families with the best bootstrap values in comprehensive studies.
© 2006 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The definitive version was published in Molecular Biology and Evolution 23(2006): 2090-2100, doi:10.1093/molbev/msl080.
Suggested CitationArticle: Cantarel, Brandi L., Morrison, Hilary G., Pearson, William, "Exploring the relationship between sequence similarity and accurate phylogenetic trees", Molecular Biology and Evolution 23 (2006): 2090-2100, DOI:10.1093/molbev/msl080, https://hdl.handle.net/1912/1285
The following license files are associated with this item:
Except where otherwise noted, this item's license is described as Attribution-NonCommercial 2.0 UK: England & Wales
Showing items related by title, author, creator and subject.
Whitehead, John A. (Springer, 2008-06-19)Experiments are reviewed in which a two-layer salt-stratified tank of water was mixed by turbulence. The density profile began as a single step and evolved to a smooth mixed profile. The turbulence was generated by many ...
Extended local similarity analysis (eLSA) of microbial community and other time series data with replicates Xia, Li C.; Steele, Joshua A.; Cram, Jacob A.; Cardon, Zoe G.; Simmons, Sheri L.; Vallino, Joseph J.; Fuhrman, Jed A.; Sun, Fengzhu (BioMed Central, 2011-12-14)The increasing availability of time series microbial community data from metagenomics and other molecular biological studies has enabled the analysis of large-scale microbial co-occurrence and association networks. Among ...
Walter, Ryan K.; Nidzieko, Nicholas J.; Monismith, Stephen G. (American Geophysical Union, 2011-10-15)Measured turbulence power spectra, cospectra, and ogive curves from a shallow tidal flow were scaled using Monin-Obukhov similarity theory to test the applicability to a generic tidal flow of universal curves found from a ...