INVESTIGADORES
MORANDO Mariana
artículos
Título:
How important is it to consider lineage diversification heterogeneity in macroevolutionary studies? Lessons from the lizard family Liolaemidae
Autor/es:
OLAVE, MELISA; AVILA, LUCIANO J.; SITES, JACK W.; MORANDO, MARIANA
Revista:
JOURNAL OF BIOGEOGRAPHY
Editorial:
WILEY-BLACKWELL PUBLISHING, INC
Referencias:
Lugar: Londres; Año: 2020
ISSN:
0305-0270
Resumen:
Macroevolutionary and biogeographical studies commonly apply multiple models to test state-dependent diversifica- tion. These models track the association between states of interest along a phylogeny, although many of them do not consider whether different clades might be evolving under different evolutionary drivers. Yet, they are still commonly applied to empirical studies without careful consideration of possible lineage diversification heterogeneity along the phylogenetic tree. A recent biogeographic study has sug- gested that orogenic uplift of the southern Andes has acted as a species pump, driving diversification of the lizard fam- ily Liolaemidae (307 described species), native to temper- ate southern South America. Here, we argue against the Andean uplift as main driver of evolution in this group. We show that there is a clear pattern of heterogeneous diver- sification in the Liolaemidae, which biases state- and envi- ronment-dependent analyses in, respectively, the GeoSSE and RPANDA programs. We show here that there are two shifts to accelerated speciation rates involving two clades that have both been classified as having ?Andean? distri- butions. We incorporated the Geographic Hidden-State Speciation and Extinction model (GeoHiSSE) to accommo- date unrelated diversification shifts, and also re-analyzed the data in RPANDA program after splitting biologically distinct clades for separate analyses, as well as including a more appropriate set of models. We demonstrate that the ?Andean uplift? hypothesis is not supported when the heterogeneous diversification histories among these lizards is considered. We use the Liolaemidae as an ideal system to demonstrate potential risks of ignoring clade-specific dif- ferences in diversification patterns in macroevolutionary studies. We also implemented simulations to show that, in agreement with previous findings, the HiSSE approach can effectively and substantially reduce the level of distribu- tion-dependent models receiving the highest AIC weights in such scenarios. However, we still find a relatively high rate (15%) of distribution-dependent models receiving the highest AIC weights, and provide recommendations re- lated to the set of models included in the analyses that re- duce these rates by half. Finally, we demonstrate that trees including clades following different dependent-drivers af- fect RPANDA analyses by producing different outcomes, ranging from partially correct models to completely mis- leading results. We provide recommendations for the im- plementation of both programs.