Dear Chris,
> Thank you for your comments. I generally run both the single and multi
> rate methods to assess congruence. The multi rate analyses seemed to
> lump many "good" species together, consistent with some of my previous
> analyses suggesting that this method may be a bit conservative. The
> single rate method appeared more consistent with current taxonomy, but
> the MCMC results were conflicting with ML. It does seem like the
> data/tree may not be a good fit to the models.
Yes, that might be the case, there are various things you can try:
1. Assess the impact of br-lens on the delimitation by generating BS
replicates and then re-optimzing the br-lens on the best scoring ML tree
(while keeping the tree topology fixed) and inputing these trees with
bootstrapped branch lengths into mPTP
2. Check how strong the tree signal is with our PYTHIA tool
https://academic.oup.com/mbe/article/39/12/msac254/6832260
and maybe consider using what we call a plausible tree set instead of a
single tree (if the signal in your dataset is weak) as input to mPTP,
i.e., delimit species on several uequally likely trees.
Alexis
>
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>
>
>
> --
> Paschalia Kapli, PhD
> Telford Lab and Yang Lab
> Department of Genetics, Evolution and Environment,
> University College London,
> Darwin Building,
> Gower Street,
> London WC1E 6BT, UK.
>
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