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Journal ArticleDOI

Resolution of the early placental mammal radiation using Bayesian phylogenetics

TLDR
Crown-group Eutheria may have their most recent common ancestry in the Southern Hemisphere (Gondwana), and placental phylogeny is investigated using Bayesian and maximum-likelihood methods and a 16.4-kilobase molecular data set.
Abstract: 
Molecular phylogenetic studies have resolved placental mammals into four major groups, but have not established the full hierarchy of interordinal relationships, including the position of the root. The latter is critical for understanding the early biogeographic history of placentals. We investigated placental phylogeny using Bayesian and maximum-likelihood methods and a 16.4-kilobase molecular data set. Interordinal relationships are almost entirely resolved. The basal split is between Afrotheria and other placentals, at about 103 million years, and may be accounted for by the separation of South America and Africa in the Cretaceous. Crown-group Eutheria may have their most recent common ancestry in the Southern Hemisphere (Gondwana).

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Citations
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Book ChapterDOI

Mammalian Biogeography and Anthropoid Origins

TL;DR: The dispersal history of Malagasy lemurs and South American platyrrhines demonstrates that primate dispersal into new terrains often sparks adaptive radiation and morphological innovation.
Journal ArticleDOI

ILS-Aware Analysis of Low-Homoplasy Retroelement Insertions: Inference of Species Trees and Introgression Using Quartets.

TL;DR: This work analyzes retroelement data sets for vertebrate clades with two ILS-aware methods that operate by extracting, weighting, and then assembling unrooted quartets into a species tree, and develops a Quartet-Asymmetry test to detect hybridization using retroelements.
Book ChapterDOI

The Evolution of Visual Cortex and Visual Systems

TL;DR: This article reviews a wide body of neuroanatomical and physiological data on the organization of visual cortex and underlying structures in several mammalian species to create a cladistic approach to species comparisons.
Journal ArticleDOI

A Dog's Breakfast?

Stephen J. O'Brien, +1 more
- 26 Sep 2003 - 
TL;DR: Even though the coverage of the dog genome (1.5x) is lower than that of mouse (8x), there are many valuable insights to be gained from comparing the sequence of dog with those of mouse and human.
References
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Journal ArticleDOI

MRBAYES: Bayesian inference of phylogenetic trees

TL;DR: The program MRBAYES performs Bayesian inference of phylogeny using a variant of Markov chain Monte Carlo, and an executable is available at http://brahms.rochester.edu/software.html.
Journal ArticleDOI

MODELTEST: testing the model of DNA substitution.

TL;DR: The program MODELTEST uses log likelihood scores to establish the model of DNA evolution that best fits the data.
Journal ArticleDOI

An Empirical Test of Bootstrapping as a Method for Assessing Confidence in Phylogenetic Analysis

David M. Hillis, +1 more
- 01 Jun 1993 - 
TL;DR: This work uses computer simulations and a laboratory-generated phylogeny to test bootstrapping results of parsimony analyses, and indicates that any given bootstrap proportion provides an unbiased but highly imprecise measure of repeatability, unless the actual probability of replicating the relevant result is nearly one.
Journal ArticleDOI

A molecular timescale for vertebrate evolution

TL;DR: The clock-like accumulation of sequence differences in some genes provides an alternative method by which the mean divergence time can be estimated, and the molecular times agree with most early and late fossil-based times, but indicate major gaps in the Mesozoic fossil record.
Journal ArticleDOI

Markov Chasin Monte Carlo Algorithms for the Bayesian Analysis of Phylogenetic Trees

TL;DR: The Bayesian framework for analyzing aligned nucleotide sequence data to reconstruct phylogenies, assess uncertainty in the reconstructions, and perform other statistical inferences is developed and a Markov chain Monte Carlo sampler is employed to sample trees and model parameter values from their joint posterior distribution.
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