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A Genomic Approach to Examine the Complex Evolution of Laurasiatherian Mammals

Overview of attention for article published in PLOS ONE, December 2011
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Title
A Genomic Approach to Examine the Complex Evolution of Laurasiatherian Mammals
Published in
PLOS ONE, December 2011
DOI 10.1371/journal.pone.0028199
Pubmed ID
Authors

Björn M. Hallström, Adrian Schneider, Stefan Zoller, Axel Janke

Abstract

Recent phylogenomic studies have failed to conclusively resolve certain branches of the placental mammalian tree, despite the evolutionary analysis of genomic data from 32 species. Previous analyses of single genes and retroposon insertion data yielded support for different phylogenetic scenarios for the most basal divergences. The results indicated that some mammalian divergences were best interpreted not as a single bifurcating tree, but as an evolutionary network. In these studies the relationships among some orders of the super-clade Laurasiatheria were poorly supported, albeit not studied in detail. Therefore, 4775 protein-coding genes (6,196,263 nucleotides) were collected and aligned in order to analyze the evolution of this clade. Additionally, over 200,000 introns were screened in silico, resulting in 32 phylogenetically informative long interspersed nuclear elements (LINE) insertion events. The present study shows that the genome evolution of Laurasiatheria may best be understood as an evolutionary network. Thus, contrary to the common expectation to resolve major evolutionary events as a bifurcating tree, genome analyses unveil complex speciation processes even in deep mammalian divergences. We exemplify this on a subset of 1159 suitable genes that have individual histories, most likely due to incomplete lineage sorting or introgression, processes that can make the genealogy of mammalian genomes complex. These unexpected results have major implications for the understanding of evolution in general, because the evolution of even some higher level taxa such as mammalian orders may sometimes not be interpreted as a simple bifurcating pattern.

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Geographical breakdown

Country Count As %
United States 3 6%
Portugal 1 2%
France 1 2%
Germany 1 2%
Russia 1 2%
China 1 2%
Unknown 41 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 27%
Researcher 13 27%
Student > Master 9 18%
Student > Bachelor 3 6%
Professor 2 4%
Other 4 8%
Unknown 5 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 73%
Biochemistry, Genetics and Molecular Biology 5 10%
Environmental Science 1 2%
Earth and Planetary Sciences 1 2%
Unknown 6 12%