Inference of transition between discrete characters and ‘mugration’ models
Metadata often consists of discrete characters such as ‘country’ or ‘host’ and transitions between these states happen along branches of the phylogenetic tree. If these transitions are plausibly modeled as a time reversible process with comparable sampling probabilities of the different states, these transitions can be treated as if they were mutations between different sequence states. Due to its analogy to mutation, this type of inference of migration dynamics between geographic regions is often called “mugration”. TreeTime can be re-purposed to do mugration inference by coding discrete states as single letters in “sequences” of length one.
Such ‘mugration’ model inference is implemented as a special subcommand that is called as
treetime mugration --tree data/zika/zika.nwk --states data/zika/zika.metadata.csv --attribute country
The last parameter
--attribute country specifies that the column ‘country’ in the metadata table
zika.metadata.csv is to be used as discrete character.
This command will produce an annotated nexus tree with state of the attribute added as comment to each node (for example
In addition, an inferred GTR model is between the different states is written to file.
Marginal distributions of ancestral states
If the additional flag
--confidence is added to the command, TreeTime will output a file with the inferred probability of finding an internal node in a particular discrete state.
A typical output would be
#name american_samoa brazil china colombia ... NODE_00 0.0001 0.0003 0.0002 0 ... NODE_05 0.594 0 0.406 0 ...
Note, however, that these probabilities depend strongly on the model that TreeTime inferred to estimate the ancestral states.
Biased sampling of different states (e.g. a human case might be sampled with higher probability than a bird case) violate the model assumptions and will produce unreliable inferences. Increased sampling of some countries (or other states) will increase the total length of the observed tree without increasing the number of transitions between countries. This results in an underestimate of the transition rates and consequently over-confident estimation of ancestral states. To some extend, this effect can be mitigated in an ad-hoc fashion by manually increasing the transition rate. The mugration command provides a flag to specify the factor, by which the mugration rate is expected to be underestimated:
Specifying equilibrium frequencies
Another possibility to address problems associated with biased sampling, is direct specification of the equilibrium frequencies using the flag
This parameter expects a csv or tsv file specifying the relative weights for each discrete state (they will be normalized to 1.0).
These weights correspond to equilibrium frequencies in a time-reversible model.
This has sometimes slightly unintuitive implications and should be used with caution.