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

2017 ◽  
Vol 67 (1) ◽  
pp. 61-77 ◽  
Author(s):  
Konstantinos Angelis ◽  
Sandra Álvarez-Carretero ◽  
Mario Dos Reis ◽  
Ziheng Yang
Keyword(s):  
Bayesian Estimation ◽  
Divergence Times ◽  
Species Divergence

scholarly journals Bayes Estimation of Species Divergence Times and Ancestral Population Sizes Using DNA Sequences From Multiple Loci

Genetics ◽  
2003 ◽  
Vol 164 (4) ◽  
pp. 1645-1656 ◽  
Author(s):  
Bruce Rannala ◽  
Ziheng Yang
Keyword(s):  
Dna Sequences ◽  
Gene Tree ◽  
Species Tree ◽  
Bayes Estimation ◽  
Ancestral Population ◽  
Divergence Times ◽  
Gene Trees ◽  
Species Divergence ◽  
Multiple Loci ◽  
Population Sizes

Abstract The effective population sizes of ancestral as well as modern species are important parameters in models of population genetics and human evolution. The commonly used method for estimating ancestral population sizes, based on counting mismatches between the species tree and the inferred gene trees, is highly biased as it ignores uncertainties in gene tree reconstruction. In this article, we develop a Bayes method for simultaneous estimation of the species divergence times and current and ancestral population sizes. The method uses DNA sequence data from multiple loci and extracts information about conflicts among gene tree topologies and coalescent times to estimate ancestral population sizes. The topology of the species tree is assumed known. A Markov chain Monte Carlo algorithm is implemented to integrate over uncertain gene trees and branch lengths (or coalescence times) at each locus as well as species divergence times. The method can handle any species tree and allows different numbers of sequences at different loci. We apply the method to published noncoding DNA sequences from the human and the great apes. There are strong correlations between posterior estimates of speciation times and ancestral population sizes. With the use of an informative prior for the human-chimpanzee divergence date, the population size of the common ancestor of the two species is estimated to be ∼20,000, with a 95% credibility interval (8000, 40,000). Our estimates, however, are affected by model assumptions as well as data quality. We suggest that reliable estimates have yet to await more data and more realistic models.

Ancestral Population Sizes and Species Divergence Times in the Primate Lineage on the Basis of Intron and BAC End Sequences

2004 ◽  
Vol 59 (4) ◽  
pp. 478-487 ◽  
Author(s):  
Yoko Satta ◽  
Michael Hickerson ◽  
Hidemi Watanabe ◽  
Colm O’hUigin ◽  
Jan Klein
Keyword(s):  
Ancestral Population ◽  
Divergence Times ◽  
Species Divergence ◽  
Primate Lineage ◽  
Population Sizes ◽  
End Sequences

Bayesian estimation of post-Messinian divergence times in Balearic Island lizards

2008 ◽  
Vol 48 (1) ◽  
pp. 350-358 ◽  
Author(s):  
R.P. Brown ◽  
B. Terrasa ◽  
V. Pérez-Mellado ◽  
J.A. Castro ◽  
P.A. Hoskisson ◽  
...  
Keyword(s):  
Bayesian Estimation ◽  
Balearic Island ◽  
Divergence Times

scholarly journals Molecular and morphological clocks for estimating evolutionary divergence times

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jose Barba-Montoya ◽  
Qiqing Tao ◽  
Sudhir Kumar
Keyword(s):  
Divergence Time ◽  
Morphological Characters ◽  
Molecular Data ◽  
Morphological Data ◽  
Divergence Times ◽  
Evolutionary Divergence ◽  
Species Divergence ◽  
Time Estimates ◽  
Branch Lengths ◽  
Morphological And Molecular Data

Abstract Background Matrices of morphological characters are frequently used for dating species divergence times in systematics. In some studies, morphological and molecular character data from living taxa are combined, whereas others use morphological characters from extinct taxa as well. We investigated whether morphological data produce time estimates that are concordant with molecular data. If true, it will justify the use of morphological characters alongside molecular data in divergence time inference. Results We systematically analyzed three empirical datasets from different species groups to test the concordance of species divergence dates inferred using molecular and discrete morphological data from extant taxa as test cases. We found a high correlation between their divergence time estimates, despite a poor linear relationship between branch lengths for morphological and molecular data mapped onto the same phylogeny. This was because node-to-tip distances showed a much higher correlation than branch lengths due to an averaging effect over multiple branches. We found that nodes with a large number of taxa often benefit from such averaging. However, considerable discordance between time estimates from molecules and morphology may still occur as  some intermediate nodes may show large time differences between these two types of data. Conclusions Our findings suggest that node- and tip-calibration approaches may be better suited for nodes with many taxa. Nevertheless, we highlight the importance of evaluating the concordance of intrinsic time structure in morphological and molecular data before any dating analysis using combined datasets.

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