遗传 ›› 2014, Vol. 36 ›› Issue (7): 669-678.doi: 10.3724/SP.J.1005.2014.0669
王章群1, 解增言2, 蔡应繁3, 舒坤贤2, 黄飞飞2
收稿日期:2013-10-28
出版日期:2014-07-20
发布日期:2014-06-23
通讯作者:
解增言, 讲师, 博士, 硕士生导师, 研究方向：生物信息学和分子进化。E-mail: zengyanxie@gmail.com 蔡应繁, 教授, 博士, 博士生导师, 研究方向：植物分子生物学和生物信息学。E-mail: cyf@henu.edu.cn
作者简介:王章群, 硕士研究生, 专业方向：生物信息学。Tel: 023-62461048; E-mail: 515544361@qq.com
基金资助:Zhangqun Wang1, Zengyan Xie2, Yingfan Cai3, Kunxian Shu2, Feifei Huang2
Received:2013-10-28
Online:2014-07-20
Published:2014-06-23
摘要： 系统发育基因组学是利用全基因组数据构建系统发育树的新领域。全基因组数据能有效消除横向基因转移和类群间基因进化速率差异等因素对系统发育树的影响。根据所使用的全基因组数据的类型, 可以将系统发育基因组学方法分为以下5类：多基因联合建树方法, 基于基因含量的方法, 基于基因排列信息的方法, 基于序列短串含量特征信息的方法及基于代谢途径的方法。文章系统地总结了每一类方法的原理、速度、准确性、适用范围及在各个生物类群中的应用, 并对系统发育基因组学的前景及面临的挑战进行了概述。
王章群, 解增言, 蔡应繁, 舒坤贤, 黄飞飞. 系统发育基因组学研究进展[J]. 遗传, 2014, 36(7): 669-678.
Zhangqun Wang, Zengyan Xie, Yingfan Cai, Kunxian Shu, Feifei Huang. Advances in phylogenomics[J]. HEREDITAS(Beijing), 2014, 36(7): 669-678.
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