Inferring the Effect of Species Interactions on Trait Evolution
Models of trait evolution form an important part of macroevolutionary biology. The Brownian motion model and Ornstein–Uhlenbeck models have become classic (null) models of character evolution, in which species evolve independently. Recently, models incorporating species interactions have been develo...
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ftpubmed:oai:pubmedcentral.nih.gov:8048392 2023-05-15T15:37:00+02:00 Inferring the Effect of Species Interactions on Trait Evolution Xu, Liang Van Doorn, Sander Hildenbrandt, Hanno Etienne, Rampal S 2020-09-22 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8048392/ http://www.ncbi.nlm.nih.gov/pubmed/32960972 https://doi.org/10.1093/sysbio/syaa072 en eng Oxford University Press http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8048392/ http://www.ncbi.nlm.nih.gov/pubmed/32960972 http://dx.doi.org/10.1093/sysbio/syaa072 © The Author(s) 2020. Published by Oxford University Press, on behalf of the Society of Systematic Biologists. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercialre-use, please contact journals.permissions@oup.com CC-BY-NC Syst Biol Regular Articles Text 2020 ftpubmed https://doi.org/10.1093/sysbio/syaa072 2021-04-25T00:27:56Z Models of trait evolution form an important part of macroevolutionary biology. The Brownian motion model and Ornstein–Uhlenbeck models have become classic (null) models of character evolution, in which species evolve independently. Recently, models incorporating species interactions have been developed, particularly involving competition where abiotic factors pull species toward an optimal trait value and competitive interactions drive the trait values apart. However, these models assume a fitness function rather than derive it from population dynamics and they do not consider dynamics of the trait variance. Here, we develop a general coherent trait evolution framework where the fitness function is based on a model of population dynamics, and therefore it can, in principle, accommodate any type of species interaction. We illustrate our framework with a model of abundance-dependent competitive interactions against a macroevolutionary background encoded in a phylogenetic tree. We develop an inference tool based on Approximate Bayesian Computation and test it on simulated data (of traits at the tips). We find that inference performs well when the diversity predicted by the parameters equals the number of species in the phylogeny. We then fit the model to empirical data of baleen whale body lengths, using three different summary statistics, and compare it to a model without population dynamics and a model where competition depends on the total metabolic rate of the competitors. We show that the unweighted model performs best for the least informative summary statistic, while the model with competition weighted by the total metabolic rate fits the data slightly better than the other two models for the two more informative summary statistics. Regardless of the summary statistic used, the three models substantially differ in their predictions of the abundance distribution. Therefore, data on abundance distributions will allow us to better distinguish the models from one another, and infer the nature of species ... Text baleen whale PubMed Central (PMC) Systematic Biology 70 3 463 479 |
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Regular Articles Xu, Liang Van Doorn, Sander Hildenbrandt, Hanno Etienne, Rampal S Inferring the Effect of Species Interactions on Trait Evolution |
topic_facet |
Regular Articles |
description |
Models of trait evolution form an important part of macroevolutionary biology. The Brownian motion model and Ornstein–Uhlenbeck models have become classic (null) models of character evolution, in which species evolve independently. Recently, models incorporating species interactions have been developed, particularly involving competition where abiotic factors pull species toward an optimal trait value and competitive interactions drive the trait values apart. However, these models assume a fitness function rather than derive it from population dynamics and they do not consider dynamics of the trait variance. Here, we develop a general coherent trait evolution framework where the fitness function is based on a model of population dynamics, and therefore it can, in principle, accommodate any type of species interaction. We illustrate our framework with a model of abundance-dependent competitive interactions against a macroevolutionary background encoded in a phylogenetic tree. We develop an inference tool based on Approximate Bayesian Computation and test it on simulated data (of traits at the tips). We find that inference performs well when the diversity predicted by the parameters equals the number of species in the phylogeny. We then fit the model to empirical data of baleen whale body lengths, using three different summary statistics, and compare it to a model without population dynamics and a model where competition depends on the total metabolic rate of the competitors. We show that the unweighted model performs best for the least informative summary statistic, while the model with competition weighted by the total metabolic rate fits the data slightly better than the other two models for the two more informative summary statistics. Regardless of the summary statistic used, the three models substantially differ in their predictions of the abundance distribution. Therefore, data on abundance distributions will allow us to better distinguish the models from one another, and infer the nature of species ... |
format |
Text |
author |
Xu, Liang Van Doorn, Sander Hildenbrandt, Hanno Etienne, Rampal S |
author_facet |
Xu, Liang Van Doorn, Sander Hildenbrandt, Hanno Etienne, Rampal S |
author_sort |
Xu, Liang |
title |
Inferring the Effect of Species Interactions on Trait Evolution |
title_short |
Inferring the Effect of Species Interactions on Trait Evolution |
title_full |
Inferring the Effect of Species Interactions on Trait Evolution |
title_fullStr |
Inferring the Effect of Species Interactions on Trait Evolution |
title_full_unstemmed |
Inferring the Effect of Species Interactions on Trait Evolution |
title_sort |
inferring the effect of species interactions on trait evolution |
publisher |
Oxford University Press |
publishDate |
2020 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8048392/ http://www.ncbi.nlm.nih.gov/pubmed/32960972 https://doi.org/10.1093/sysbio/syaa072 |
genre |
baleen whale |
genre_facet |
baleen whale |
op_source |
Syst Biol |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8048392/ http://www.ncbi.nlm.nih.gov/pubmed/32960972 http://dx.doi.org/10.1093/sysbio/syaa072 |
op_rights |
© The Author(s) 2020. Published by Oxford University Press, on behalf of the Society of Systematic Biologists. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercialre-use, please contact journals.permissions@oup.com |
op_rightsnorm |
CC-BY-NC |
op_doi |
https://doi.org/10.1093/sysbio/syaa072 |
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Systematic Biology |
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70 |
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3 |
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463 |
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479 |
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