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Alvarez-Carretero, S.

Publications and source records attributed to Alvarez-Carretero, S..

2 recordsLinked to original sources

Independent origins of spicules reconcile the evolutionary history of sponges

Sponges (Porifera) play a critical role in global biogeochemical processes. However, their evolutionary timeline remains unclear hampering our understanding of Neoproterozoic paleoecology. Molecular data suggest a Tonian or Cryogenian origin, while the oldest confirmed sponge fossils, represented by siliceous spicules, date to the Ediacaran. To understand this 150-million-year discrepancy, we compiled a new phylogenomic dataset, revised fossil evidence, derived a new dated sponge phylogeny, and tested whether ancestral sponges were aspiculated or not. We infer the last common sponge ancestor to have been early Ediacaran in age and aspiculated. Siliceous spicules evolved independently at least four times, and calcareous spicules at least two times in crown sponges. We performed a diversification rate analysis showing that siliceous spicules did not drive species radiations. Our study reconciles molecular and fossil evidence, indicating that while sponges emerged in the early Ediacaran, they are largely absent from the Neoproterozoic fossil record because they had not yet evolved spicules. TeaserSponges emerged in the Precambrian, were soft-bodied and did not produce mineralized spicules, which emerged multiple times independently.

evolutionary biology↗

Bayesian Estimation of Species Divergence Times Using Correlated Quantitative Characters

Discrete morphological data have been widely used to study species evolution, but the use of quantitative (or continuous) morphological characters is less common. Here, we implement a Bayesian method to estimate species divergence times using quantitative characters. Quantitative character evolution is modelled using Brownian diffusion with character correlation and character variation within populations. Through simulations, we demonstrate that ignoring the population variation (or population "noise") and the correlation among characters leads to biased estimates of divergence times and rate, especially if the correlation and population noise are high. We apply our new method to the analysis of quantitative characters (cranium landmarks) and molecular data from carnivoran mammals. Our results show that time estimates are affected by whether the correlations and population noise are accounted for or ignored in the analysis. The estimates are also affected by the type of data analysed, with analyses of morphological characters only, molecular data only, or a combination of both; showing noticeable differences among the time estimates. Rate variation of morphological characters among the carnivoran species appears to be very high, with Bayesian model selection indicating that the independent-rates model fits the morphological data better than the autocorrelated-rates model. We suggest that using morphological continuous characters, together with molecular data, can bring a new perspective to the study of species evolution. Our new model is implemented in the MCMCtree computer program for Bayesian inference of divergence times.

evolutionary biology↗