Literature DB >> 21926070

Relaxed clocks and inferences of heterogeneous patterns of nucleotide substitution and divergence time estimates across whales and dolphins (Mammalia: Cetacea).

Alex Dornburg1, Matthew C Brandley, Michael R McGowen, Thomas J Near.   

Abstract

Various nucleotide substitution models have been developed to accommodate among lineage rate heterogeneity, thereby relaxing the assumptions of the strict molecular clock. Recently developed "uncorrelated relaxed clock" and "random local clock" (RLC) models allow decoupling of nucleotide substitution rates between descendant lineages and are thus predicted to perform better in the presence of lineage-specific rate heterogeneity. However, it is uncertain how these models perform in the presence of punctuated shifts in substitution rate, especially between closely related clades. Using cetaceans (whales and dolphins) as a case study, we test the performance of these two substitution models in estimating both molecular rates and divergence times in the presence of substantial lineage-specific rate heterogeneity. Our RLC analyses of whole mitochondrial genome alignments find evidence for up to ten clade-specific nucleotide substitution rate shifts in cetaceans. We provide evidence that in the uncorrelated relaxed clock framework, a punctuated shift in the rate of molecular evolution within a subclade results in posterior rate estimates that are either misled or intermediate between the disparate rate classes present in baleen and toothed whales. Using simulations, we demonstrate abrupt changes in rate isolated to one or a few lineages in the phylogeny can mislead rate and age estimation, even when the node of interest is calibrated. We further demonstrate how increasing prior age uncertainty can bias rate and age estimates, even while the 95% highest posterior density around age estimates decreases; in other words, increased precision for an inaccurate estimate. We interpret the use of external calibrations in divergence time studies in light of these results, suggesting that rate shifts at deep time scales may mislead inferences of absolute molecular rates and ages.

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Year:  2011        PMID: 21926070     DOI: 10.1093/molbev/msr228

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  37 in total

1.  Inconsistencies in estimating the age of HIV-1 subtypes due to heterotachy.

Authors:  Joel O Wertheim; Mathieu Fourment; Sergei L Kosakovsky Pond
Journal:  Mol Biol Evol       Date:  2011-10-31       Impact factor: 16.240

2.  A dirichlet process prior for estimating lineage-specific substitution rates.

Authors:  Tracy A Heath; Mark T Holder; John P Huelsenbeck
Journal:  Mol Biol Evol       Date:  2011-11-02       Impact factor: 16.240

3.  Dolphin genome provides evidence for adaptive evolution of nervous system genes and a molecular rate slowdown.

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Journal:  Proc Biol Sci       Date:  2012-06-27       Impact factor: 5.349

4.  Phylogenomic Resolution of the Cetacean Tree of Life Using Target Sequence Capture.

Authors:  Michael R McGowen; Georgia Tsagkogeorga; Sandra Álvarez-Carretero; Mario Dos Reis; Monika Struebig; Robert Deaville; Paul D Jepson; Simon Jarman; Andrea Polanowski; Phillip A Morin; Stephen J Rossiter
Journal:  Syst Biol       Date:  2020-05-01       Impact factor: 15.683

5.  Phylogenetic informativeness reconciles ray-finned fish molecular divergence times.

Authors:  Alex Dornburg; Jeffrey P Townsend; Matt Friedman; Thomas J Near
Journal:  BMC Evol Biol       Date:  2014-08-08       Impact factor: 3.260

6.  The evolution of dwarf shrubs in alpine environments: a case study of Alchemilla in Africa.

Authors:  Berit Gehrke; Martha Kandziora; Michael D Pirie
Journal:  Ann Bot       Date:  2015-10-31       Impact factor: 4.357

7.  Tracing the spatio-temporal dynamics of endangered fin whales (Balaenoptera physalus) within baleen whale (Mysticeti) lineages: a mitogenomic perspective.

Authors:  Jihyun Yu; Bo-Hye Nam; Joon Yoon; Eun Bae Kim; Jung Youn Park; Heebal Kim; Sook Hee Yoon
Journal:  Genetica       Date:  2017-11-04       Impact factor: 1.082

8.  Phylogenomics of the killer whale indicates ecotype divergence in sympatry.

Authors:  A E Moura; J G Kenny; R R Chaudhuri; M A Hughes; R R Reisinger; P J N de Bruyn; M E Dahlheim; N Hall; A R Hoelzel
Journal:  Heredity (Edinb)       Date:  2014-07-23       Impact factor: 3.821

9.  Mitogenomic phylogenetics of fin whales (Balaenoptera physalus spp.): genetic evidence for revision of subspecies.

Authors:  Frederick I Archer; Phillip A Morin; Brittany L Hancock-Hanser; Kelly M Robertson; Matthew S Leslie; Martine Bérubé; Simone Panigada; Barbara L Taylor
Journal:  PLoS One       Date:  2013-05-17       Impact factor: 3.240

10.  Low diversity in the mitogenome of sperm whales revealed by next-generation sequencing.

Authors:  Alana Alexander; Debbie Steel; Beth Slikas; Kendra Hoekzema; Colm Carraher; Matthew Parks; Richard Cronn; C Scott Baker
Journal:  Genome Biol Evol       Date:  2013       Impact factor: 3.416

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