Dear Kenta,
Just to add to this:
> Thank you very much for your detailed and helpful response. If my
> understanding is correct, I will not need to bootstrap the new tree
> (with outgroup)? Would it be fine to leave the tree with 1 trivial split
> as we acknowledge that this does not reflect the true inferred result?
What I would do is to just remove the outgroup again and just put the
root on the branch of the ingroup tree to which the outgroup attached
with the highest placement probability. In addition to that, you may
also want to show (in a separate Figure) how the outgroup placment
probabilities are distributed over the tree.
Finally, be careful when interpreting support values on rooted trees
depending on the tree viewer, this paper here discusses this in great
detail:
https://pubmed.ncbi.nlm.nih.gov/28369572/
>
> Additionally, I assume we do not have to worry about any
> ingroup-outgroup long-branch attraction if the outgroup was placed a
> posteriori since it is not part of the originally inferred tree.
Exactly.
Alexis
> 1. too use a large-as-possible outgroup sample and reinfer the
> total tree; the larger the outgroup, the less the risk of
> inflicting branching artefacts that can lead to a wrongly rooted
> tree (e.g. in the case of ingroup-outgroup long-branch
> attraction) or
> 2. clock rooting or accordingly adapted non-symetric substitution
> models, both methods do not require to add outgroups at all.
>
> Re Alternative 1, the most commonly used to infer ingroup roots, a
> quick but essential test: if the ingroup(-only) branch supports are
> changed by adding outgroups to the matrix, then this is a direct
> indication for ingroup-outgroup branching artefacts; any outgroup
> changing ingroup branching patterns is highly problematic and should
> be removed from the outgroup sample.
>
> If you need a paper that used EPA to root a tree in a non-trivial
> case, check out fig. 3 in Liede-Schumann et al.:
>
https://doi.org/10.7717/peerj.8999/fig-3
> <
https://doi.org/10.7717/peerj.8999/fig-3>
> (PS There's a related post
> <
https://phylonetworks.blogspot.com/2019/12/trees-informing-networks-explaining.html> on the former /Genealogical World of Networks /blog by D. Morrison for more background)
>
> Cheers, Guido
>
>
>
>
>
>
> Kenta Renard schrieb am Montag, 6. Mai 2024 um 18:52:30 UTC+2:
>
> Dear All,
>
> I have a RAxML-NG ML tree and I didn't specify an outgroup
> option when I generated the ML tree (I understand it would just
> be a drawing option).
>
> I used EPA-NG to place a more distant sequence and used Gappa to
> generate a Newick tree file and then I re-rooted the tree using
> the placed sequence. I'm not sure how this impacts the
> interpretation of the tree since the bootstrap replicates were
> done without the outgroup included (there might be an issue with
> what branch support is associated with what branch). Is there
> another way to add an outgroup to an unrooted tree?
>
> Best wishes,
> Kenta
>
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--
Alexandros (Alexis) Stamatakis
ERA Chair, Institute of Computer Science, Foundation for Research and
Technology - Hellas
Research Group Leader, Heidelberg Institute for Theoretical Studies
Full Professor, Dept. of Informatics, Karlsruhe Institute of Technology
www.biocomp.gr (Crete lab)
www.exelixis-lab.org (Heidelberg lab)