10.5061/DRYAD.X95X69PDW
Braga, Mariana P.
0000-0002-1253-2536
Washington University in St. Louis
Landis, Michael J.
Washington University in St. Louis
Nylin, Sören
Stockholm University
Janz, Niklas
Stockholm University
Ronquist, Fredrik
Swedish Museum of Natural History
Bayesian inference of ancestral host-parasite interactions under a
phylogenetic model of host repertoire evolution
Dryad
dataset
2020
ancestral hosts
Coevolution
herbivorous insects
Probabilistic Modeling
ancestral networks
2020-04-08T00:00:00Z
2020-04-08T00:00:00Z
en
https://revbayes.github.io
532981 bytes
4
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Intimate ecological interactions, such as those between parasites and
their hosts, may persist over long time spans, coupling the evolutionary
histories of the lineages involved. Most methods that reconstruct the
coevolutionary history of such interactions make the simplifying
assumption that parasites have a single host. Many methods also focus on
congruence between host and parasite phylogenies, using cospeciation as
the null model. However, there is an increasing body of evidence
suggesting that the host ranges of parasites are more complex: that host
ranges often include more than one host and evolve via gains and losses of
hosts rather than through cospeciation alone. Here, we develop a Bayesian
approach for inferring coevolutionary history based on a model
accommodating these complexities. Specifically, a parasite is assumed to
have a host repertoire, which includes both potential hosts and one or
more actual hosts. Over time, potential hosts can be added or lost, and
potential hosts can develop into actual hosts or vice versa. Thus, host
colonization is modeled as a two-step process that may potentially be
influenced by host relatedness. We first explore the statistical behavior
of our model by simulating evolution of host-parasite interactions under a
range of parameter values. We then use our approach, implemented in the
program RevBayes, to infer the coevolutionary history between 34
Nymphalini butterfly species and 25 angiosperm families. Our analysis
suggests that host relatedness among angiosperm families influences how
easily Nymphalini lineages gain new hosts.
This repository contains the data and scripts used to perform the host
repertoire evolution analysis described in Braga et al. 2020
"Bayesian inference of ancestral host-parasite interactions under a
phylogenetic model of host repertoire evolution". Simulation and
inference of host repertoire evolution was done in RevBayes
(https://revbayes.github.io). Additional analyses and plotting was done in
R.