Home LiteratureArticle Details
PMID: 26658702 Published · ppublish English Journal Article

Geomolecular Dating and the Origin of Placental Mammals.

Systematic biology ·Vol. 65 ·No. 3 ·2016-05-00 ·Pages 546-57

Phillips MJ

Abstract

In modern evolutionary divergence analysis the role of geological information extends beyond providing a timescale, to informing molecular rate variation across the tree. Here I consider the implications of this development. I use fossil calibrations to test the accuracy of models of molecular rate evolution for placental mammals, and reveal substantial misspecification associated with life history rate correlates. Adding further calibrations to reduce dating errors at specific nodes unfortunately tends to transfer underlying rate errors to adjacent branches. Thus, tight calibration across the tree is vital to buffer against rate model errors. I argue that this must include allowing maximum bounds to be tight when good fossil records permit, otherwise divergences deep in the tree will tend to be inflated by the interaction of rate errors and asymmetric confidence in minimum and maximum bounds. In the case of placental mammals I sought to reduce the potential for transferring calibration and rate model errors across the tree by focusing on well-supported calibrations with appropriately conservative maximum bounds. The resulting divergence estimates are younger than others published recently, and provide the long-anticipated molecular signature for the placental mammal radiation observed in the fossil record near the 66 Ma Cretaceous-Paleogene extinction event.

Keywords
Cretaceous–Paleogene boundary Placentalia evolutionary rate fossil calibration life history molecular dating
MeSH Terms
Animals Classification/methods Evolution, Molecular Fossils Mammals/classification Phylogeny
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Phillips Matthew J
School of Earth, Environmental and Biological Sciences, Queensland University of Technology, Brisbane, QLD 4000, Australia [email protected].
Article Info
Journal
Systematic biology
Abbr.
Syst Biol
ISSN
1076-836X
Published
2016-05-00
Epub
2015-00-10
Pages
546-57
Language
English
Region
England
NLM ID
9302532
Subset
IM
Databases
Dryad
10.5061/dryad.s43f8
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]