FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments
Morgan N. Pricea b c✉, Paramvir Dehalb c, Adam P. Arkinb c d
- aPhysical Biosciences Division, Lawrence Berkeley National Lab, Berkeley, California, United States of America. MorganNPrice@yahoo.com
- bPhysical Biosciences Division, Lawrence Berkeley National Lab, Berkeley, California, United States of America
- cVirtual Institute of Microbial Stress and Survival, Lawrence Berkeley National Lab, Berkeley, California, United States of America
- dDepartment of Bioengineering, University of California, Berkeley, California, United States of America
- ✉Corresponding author
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Abstract
BACKGROUND: We recently described FastTree, a tool for inferring phylogenies for alignments with up to hundreds of thousands of sequences. Here, we describe improvements to FastTree that improve its accuracy without sacrificing scalability. METHODOLOGY/PRINCIPAL FINDINGS: Where FastTree 1 used nearest-neighbor interchanges (NNIs) and the minimum-evolution criterion to improve the tree, FastTree 2 adds minimum-evolution subtree-pruning-regrafting (SPRs) and maximum-likelihood NNIs. FastTree 2 uses heuristics to restrict the search for better trees and estimates a rate of evolution for each site (the "CAT" approximation). Nevertheless, for both simulated and genuine alignments, FastTree 2 is slightly more accurate than a standard implementation of maximum-likelihood NNIs (PhyML 3 with default settings). Although FastTree 2 is not quite as accurate as methods that use maximum-likelihood SPRs, most of the splits that disagree are poorly supported, and for large alignments, FastTree 2 is 100-1,000 times faster. FastTree 2 inferred a topology and likelihood-based local support values for 237,882 distinct 16S ribosomal RNAs on a desktop computer in 22 hours and 5.8 gigabytes of memory. CONCLUSIONS/SIGNIFICANCE: FastTree 2 allows the inference of maximum-likelihood phylogenies for huge alignments. FastTree 2 is freely available at http://www.microbesonline.org/fasttree.