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Low-parameter phylogenetic inference under the general Markov model
Citation
Holland, BR and Jarvis, PD and Sumner, JG, Low-parameter phylogenetic inference under the general Markov model, Systematic Biology, 62, (1) pp. 78-92. ISSN 1063-5157 (2013) [Refereed Article]
Copyright Statement
Copyright 2012 The Author(s)
DOI: doi:10.1093/sysbio/sys072
Abstract
In their 2008 and 2009 papers, Sumner and colleagues introduced the "squangles" – a small set of Markov invariants for phylogenetic quartets. The squangles are consistent with the general Markov model (GM) and can be used to infer quartets without the need to explicitly estimate all parameters. As GM is inhomogeneous and hence non-stationary, the squangles are expected to perform well compared to standard approaches when there are changes in base-composition amongst species. However, the GM model assumes constant rates across sites, so the squangles should be confounded by data generated with invariant sites or other forms of rate-variation across sites. Here we implement the squangles in a least-squares setting that returns quartets weighted by either condence or internal edge lengths, and we show how these weighted quartets can be used as input into a variety of supertree and supernetwork methods. For the first time, we quantitatively investigate the robustness of the squangles to breaking of the constant rates-across-sites assumption on both simulated and real data sets; and we suggest a modication that improves the performance of the squangles in the presence of invariant sites. Our conclusion is that the squangles provide a novel tool for phylogenetic estimation that is complementary to methods that explicitly account for rate-variation across sites, but rely on homogeneous – and hence stationary – models.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | base-composition, Markov invariants, phylogenetic invariants, rate-variation, quartets, supertrees |
| Research Division: | Mathematical Sciences |
| Research Group: | Applied mathematics |
| Research Field: | Biological mathematics |
| Objective Division: | Expanding Knowledge |
| Objective Group: | Expanding knowledge |
| Objective Field: | Expanding knowledge in the mathematical sciences |
| UTAS Author: | Holland, BR (Professor Barbara Holland) |
| UTAS Author: | Jarvis, PD (Dr Peter Jarvis) |
| UTAS Author: | Sumner, JG (Associate Professor Jeremy Sumner) |
| ID Code: | 79952 |
| Year Published: | 2013 |
| Funding Support: | Australian Research Council (FT100100031) |
| Web of Science® Times Cited: | 21 |
| Deposited By: | Mathematics and Physics |
| Deposited On: | 2012-10-15 |
| Last Modified: | 2016-09-29 |
| Downloads: | 0 |
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