Evidence map›Paper›PMID 29029343›Full record

ArticleSystematic biology2018

An Evaluation of Different Partitioning Strategies for Bayesian Estimation of Species Divergence Times.

Konstantinos Angelis, Sandra Álvarez-Carretero, Mario Dos Reis, Ziheng Yang

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Article in Systematic biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

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13citing papers in PubMed
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3 · Its place in the literature

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13 citing papers in PubMed.

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  12. Global Rate Variation in Bony Vertebrates.Genome biology and evolution · 2018
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5 · Who and what money

Authors and funding

4 authors.

Konstantinos AngelisDepartment of Genetics, Evolution and Environment, University College London, UK.
Sandra Álvarez-CarreteroSchool of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK.
Mario Dos ReisDepartment of Genetics, Evolution and Environment, University College London, UK.
Ziheng YangDepartment of Genetics, Evolution and Environment, University College London, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/G006431/1Biotechnology and Biological Sciences Research Council BB/N000609/1
6 · The paper itself

Abstract

The explosive growth of molecular sequence data has made it possible to estimate species divergence times under relaxed-clock models using genome-scale data sets with many gene loci. In order to improve both model realism and to best extract information about relative divergence times in the sequence data, it is important to account for the heterogeneity in the evolutionary process across genes or genomic regions. Partitioning is a commonly used approach to achieve those goals. We group sites that have similar evolutionary characteristics into the same partition and those with different characteristics into different partitions, and then use different models or different values of model parameters for different partitions to account for the among-partition heterogeneity. However, how to partition data in practical phylogenetic analysis, and in particular in relaxed-clock dating analysis, is more art than science. Here, we use computer simulation and real data analysis to study the impact of the partition scheme on divergence time estimation. The partition schemes had relatively minor effects on the accuracy of posterior time estimates when the prior assumptions were correct and the clock was not seriously violated, but showed large differences when the clock was seriously violated, when the fossil calibrations were in conflict or incorrect, or when the rate prior was mis-specified. Concatenation produced the widest posterior intervals with the least precision. Use of many partitions increased the precision, as predicted by the infinite-sites theory, but the posterior intervals might fail to include the true ages because of the conflicting fossil calibrations or mis-specified rate priors. We analyzed a data set of 78 plastid genes from 15 plant species with serious clock violation and showed that time estimates differed significantly among partition schemes, irrespective of the rate drift model used. Multiple and precise fossil calibrations reduced the differences among partition schemes and were important to improving the precision of divergence time estimates. While the use of many partitions is an important approach to reducing the uncertainty in posterior time estimates, we do not recommend its general use for the present, given the limitations of current models of rate drift for partitioned data and the challenges of interpreting the fossil evidence to construct accurate and informative calibrations.

Indexed as

Genetic SpeciationClassificationFossilsPlantsPlastidsReproducibility of ResultsTimeBayesian inferencegenomic datainfinite-sites theorymolecular clock datingpartition analysis

Identifiers

PMID29029343
PMCPMC5790132

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