All modern approaches to molecular phylogenetics require a quantitative model for how genes evolve. Unfortunately, existing evolutionary models do not realistically represent the site-heterogeneous selection that governs actual sequence change. Attempts to remedy this problem have involved augmenting these models with a burgeoning number of free parameters. Here, I demonstrate an alternative: Experimental determination of a parameter-free evolutionary model via mutagenesis, functional selection, and deep sequencing. Using this strategy, I create an evolutionary model for influenza nucleoprotein that describes the gene phylogeny far better than existing models with dozens or even hundreds of free parameters. Emerging high-throughput experimental strategies such as the one employed here provide fundamentally new information that has the potential to transform the sensitivity of phylogenetic and genetic analyses.
ID: zAqktrSK
Submitter: Shu-Ching Ou
Submission Date: March 1, 2019, 5:26 p.m.
Version: 1
| Number of data points | 9464 |
| Proteins | Nucleoprotein |
| Unique complexes | 9463 |
| Assays/Quantities/Protocols | Experimental Assay: Preference |
| Libraries | Variants for Nucleoprotein |
| Sequence | Assay | Result | Units |
|---|