TY - JOUR
T1 - Invariants for level-1 phylogenetic networks under the Cavendar-Farris-Neyman model
AU - Cummings, Joseph
AU - Hollering, Benjamin
AU - Manon, Christopher
N1 - Publisher Copyright:
© 2023 Elsevier Inc.
PY - 2024/2
Y1 - 2024/2
N2 - Phylogenetic networks model evolutionary phenomena that trees fail to capture such as horizontal gene transfer and hybridization. The same Markov models used for sequence evolution on trees can also be extended to networks and similar problems, such as determining if the network parameter is identifiable or finding the invariants of the model, can be studied. This paper focuses on finding the invariants of the Cavendar-Farris-Neyman (CFN) model on level-1 phylogenetic networks by reducing the problem to finding invariants of sunlet networks, which are level-1 networks consisting of a single cycle with leaves at each vertex. We determine all quadratic invariants for sunlet networks, and conjecture these generate the full sunlet ideal.
AB - Phylogenetic networks model evolutionary phenomena that trees fail to capture such as horizontal gene transfer and hybridization. The same Markov models used for sequence evolution on trees can also be extended to networks and similar problems, such as determining if the network parameter is identifiable or finding the invariants of the model, can be studied. This paper focuses on finding the invariants of the Cavendar-Farris-Neyman (CFN) model on level-1 phylogenetic networks by reducing the problem to finding invariants of sunlet networks, which are level-1 networks consisting of a single cycle with leaves at each vertex. We determine all quadratic invariants for sunlet networks, and conjecture these generate the full sunlet ideal.
KW - Algebraic variety
KW - Group-based model
KW - Markov model
KW - Phylogenetic invariant
KW - Phylogenetic network
KW - Torus action
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U2 - 10.1016/j.aam.2023.102633
DO - 10.1016/j.aam.2023.102633
M3 - Article
AN - SCOPUS:85174955616
SN - 0196-8858
VL - 153
JO - Advances in Applied Mathematics
JF - Advances in Applied Mathematics
M1 - 102633
ER -