Data on phylogenetic analyses of gazelles (genus Gazella) based on mitochondrial and nuclear intron markers

被引:1
|
作者
Lerp, Hannes [1 ,2 ]
Klaus, Sebastian [2 ]
Allgoewer, Stefanie [2 ]
Wronski, Torsten [3 ,4 ]
Pfenninger, Markus [5 ]
Plath, Martin [6 ]
机构
[1] Museum Wiesbaden, Nat Hist Collect, Friedrich Ebert Allee 2, D-65185 Wiesbaden, Germany
[2] JW Goethe Univ Frankfurt, Dept Ecol & Evolut, Max von Laue Str 13, D-60438 Frankfurt, Germany
[3] Zool Soc London, Conservat Programs, Regents Pk, London NW1 4RY, England
[4] Saudi Wildlife Author, King Khalid Wildlife Res Ctr, POB 61681, Riyadh 11575, Saudi Arabia
[5] Senckenberg Biodivers & Climate Res Ctr BiK F, Mol Ecol Grp, D-60325 Frankfurt, Germany
[6] Northwest A&F Univ, Coll Anim Sci & Technol, Yangling 712100, Shaanxi, Peoples R China
来源
DATA IN BRIEF | 2016年 / 7卷
关键词
D O I
10.1016/j.dib.2016.02.062
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The data provided is related to the article "Phylogenetic analyses of gazelles reveal repeated transitions of key ecological traits and provide novel insights into the origin of the genus Gazella" [1]. The data is based on 48 tissue samples of all nine extant species of the genus Gazella, namely Gazella gazella, Gazella arabica, Gazella bennettii, Gazella cuvieri, Gazella dorcas, Gazella leptoceros, Gazella marica, Gazella spekei, and Gazella subgutturosa and four related taxa (Saiga tatarica, Antidorcas marsupialis, Antilope cervicapra and Eudorcas rufifrons). It comprises alignments of sequences of a cytochrome b data set and of six nuclear intron markers. For the latter new primers were designed based on cattle and sheep genomes. Based on these alignments phylogenetic trees were inferred using Bayesian Inference and Maximum Likelihood methods. Furthermore, ancestral character states (inferred with BayesTraits 1.0) and ancestral ranges based on a Dispersal-Extinction-Cladogenesis model were estimated and results' files were stored within this article. (C) 2016 The Authors. Published by Elsevier lnc.
引用
收藏
页码:551 / 557
页数:7
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