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The Phylogeographical Pattern and Conservation of the Chinese Cobra (Naja atra) across Its Range Based on Mitochondrial Control Region Sequences

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Title
The Phylogeographical Pattern and Conservation of the Chinese Cobra (Naja atra) across Its Range Based on Mitochondrial Control Region Sequences
Published in
PLOS ONE, September 2014
DOI 10.1371/journal.pone.0106944
Pubmed ID
Authors

Long-Hui Lin, Lei Hua, Yan-Fu Qu, Jian-Fang Gao, Xiang Ji

Abstract

The vulnerable Chinese cobra (Naja atra) ranges from southeastern China south of the Yangtze River to northern Vietnam and Laos. Large mountain ranges and water bodies may influence the pattern of genetic diversity of this species. We sequenced the mitochondrial DNA control region (1029 bp) using 285 individuals collected from 23 localities across the species' range and obtained 18 sequences unique to Taiwan from GenBank for phylogenetic and population analysis. Two distinct clades were identified, one including haplotypes from the two westernmost localities (Hekou and Miyi) and the other including haplotypes from all sampling sites except Miyi. A strong population structure was found (Φst = 0.76, P<0.0001) with high haplotype diversity (h = 1.00) and low nucleotide diversity (π = 0.0049). The Luoxiao and Nanling Mountains act as historical geographical barriers limiting gene exchange. In the haplotype network there were two "star" clusters. Haplotypes from populations east of the Luoxiao Mountains were represented within one cluster and haplotypes from populations west of the mountain range within the other, with haplotypes from populations south of the Nanling Mountains in between. Lineage sorting between mainland and island populations is incomplete. It remains unknown as to how much adaptive differentiation there is between population groups or within each group. We caution against long-distance transfers within any group, especially when environmental differences are apparent.

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Country Count As %
Mexico 1 3%
Spain 1 3%
Unknown 33 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 20%
Student > Master 7 20%
Student > Ph. D. Student 7 20%
Researcher 6 17%
Lecturer > Senior Lecturer 1 3%
Other 2 6%
Unknown 5 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 34%
Environmental Science 7 20%
Biochemistry, Genetics and Molecular Biology 7 20%
Earth and Planetary Sciences 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 0 0%
Unknown 6 17%