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The Updated Phylogenies of the Phasianidae Based on Combined Data of Nuclear and Mitochondrial DNA

Overview of attention for article published in PLOS ONE, April 2014
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Title
The Updated Phylogenies of the Phasianidae Based on Combined Data of Nuclear and Mitochondrial DNA
Published in
PLOS ONE, April 2014
DOI 10.1371/journal.pone.0095786
Pubmed ID
Authors

Yong-Yi Shen, Kun Dai, Xue Cao, Robert W. Murphy, Xue-Juan Shen, Ya-Ping Zhang

Abstract

The phylogenetic relationships of species in the Phasianidae, Order Galliformes, are the object of intensive study. However, convergent morphological evolution and rapid species radiation result in much ambiguity in the group. Further, matrilineal (mtDNA) genealogies conflict with trees based on nuclear DNA retrotransposable elements. Herein, we analyze 39 nearly complete mitochondrial genomes (three new) and up to seven nuclear DNA segments. We combine these multiple unlinked, more informative genetic markers to infer historical relationships of the major groups of phasianids. The nuclear DNA tree is largely congruent with the tree derived from mt genomes. However, branching orders of mt/nuclear trees largely conflict with those based on retrotransposons. For example, Gallus/Bambusicola/Francolinus forms the sister-group of Coturnix/Alectoris in the nuclear/mtDNA trees, yet the tree based on retrotransposable elements roots the former at the base of the tree and not with the latter. Further, while peafowls cluster with Gallus/Coturnix in the mt tree, they root at the base of the phasianids following Gallus in the tree based on retrotransposable elements. The conflicting branch orders in nuclear/mtDNA and retrotransposons-based trees in our study reveal the complex topology of the Phasianidae.

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Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 24%
Student > Ph. D. Student 5 15%
Researcher 4 12%
Student > Bachelor 4 12%
Professor 3 9%
Other 2 6%
Unknown 7 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 48%
Environmental Science 4 12%
Biochemistry, Genetics and Molecular Biology 2 6%
Computer Science 1 3%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 8 24%