科研速览 · Science Skim继续刷下去 · Keep skimming →
◆ Systematic Biology2026-05-20· Distribution (mathematics)

Biased Estimates of Phylogenetic Branch Lengths Resulting from the Discretised Gamma Model of Site Rate Heterogeneity

Luca Ferretti, Tanya Golubchik, Francesco Di Lauro, Mahan Ghafari, Julian Villabona-Arenas, Katherine E. Atkins, Christophe Fraser, Matthew Hall

原始摘要(英文原文)· Original abstract
A standard method in phylogenetic reconstruction for representing variation in substitution rates between sites in the genome is the discrete Gamma model (DGM). Relative rates are assumed to be distributed according to a discretised Gamma distribution, where the probabilities that a site is included in each class are equal. Here, we identify a serious bias in the branch lengths of reconstructed phylogenies when the DGM is used, with the magnitude of the effect varying with the number of sequences in the alignment. We demonstrate the existence of the bias, using both simulated datasets and real HIV-1 sequences; in both cases branch lengths are overestimated. The phenomenon is exacerbated by increasing the number of discrete rate categories, is only very slightly mitigated by the addition of an invariant sites category, and happens regardless of the software package used for reconstruction. We show that the alternative "FreeRate" model, which assumes no parametric distribution and allows the class probabilities to vary, is not subject to the issue. We further establish that the reason for the behaviour is the equal size of the class probabilities in the discretisation, not simply the fact that a continuous distribution has been discretised. We explore the mathematics of the phenomenon, showing how maximum likelihood branch lengths under the DGM may differ from the true ones used to generate the tree, and how the magnitude of this difference is equal to the departure of the mean maximum likelihood substitution rate across all sites in the genome from 1. We recommend that the DGM be retired from general use. While FreeRate is an immediately available replacement, it is known to be difficult to fit, and thus there is scope for innovation in rate heterogeneity models.
读原文 · Read the paper ↗

AI 追问PRO

登录后使用 AI 追问

讨论区

登录后参与讨论

相关论文 · Related

Biased Estimates of Phylogenetic Branch Lengths Resulting from the Discretised Gamma Model of Site Rate Heterogeneity — 科研速览 Science Skim