A "holistic" kinesin phylogeny reveals new kinesin families and predicts protein functions

A "holistic" kinesin phylogeny reveals new kinesin families and predicts protein functions
复制标题

DOI:
10.1091/mbc.e05-11-1090
复制
发表时间:
2006-04-01
影响因子:
3.3
通讯作者:
Gull, K
Gull, K
中科院分区:
生物学3区
文献类型:
--
作者:
Wickstead, B;Gull, K

文献摘要

被引文献

相似文献

运动蛋白超家族蛋白普遍存在于所有真核生物中,对几个关键的细胞过程至关重要。随着大量真核生物基因组序列数据的建立,现在有可能首次分析来自大多数真核生物王国的生物多样性的完整动力蛋白谱。这种“整体”方法使用了来自19种真核生物的486个激酶样序列,并通过贝叶斯技术进行了分析,确定了三个新的激酶家族,两个新的门特异性群体,并将两个先前确定的家族联合起来。平行分布表明真核生物的始祖几乎拥有所有的激酶家族。然而,单个谱系的多重损失意味着没有一个家族对所有生物都是普遍存在的,而且目前的分布反映的是共同的生物学,而不是共同的祖先。特别地,四个家族- kinesin -2, -9和新提出的家族kinesin -16和-17的分布与纤毛/鞭毛的拥有相关,这可以用来预测两个新家族的鞭毛功能。最后,我们提出了一组隐马尔可夫模型,可以可靠地将大多数新的驱动蛋白序列放入家族中,即使来自与分析中的生物有很大进化距离的生物体。
Kinesin superfamily proteins are ubiquitous to all eukaryotes and essential for several key cellular processes. With the establishment of genome sequence data for a substantial number of eukaryotes, it is now possible for the first time to analyze the complete kinesin repertoires of a diversity of organisms from most eukaryotic kingdoms. Such a "holistic" approach using 486 kinesin-like sequences from 19 eukaryotes and analyzed by Bayesian techniques, identifies three new kinesin families, two new phylum-specific groups, and unites two previously identified families. The paralogue distribution suggests that the eukaryotic cenancestor possessed nearly all kinesin families. However, multiple losses in individual lineages mean that no family is ubiquitous to all organisms and that the present day distribution reflects common biology more than it does common ancestry. In particular, the distribution of four families-Kinesin-2, -9, and the proposed new families Kinesin-16 and -17-correlates with the possession of cilia/flagella, and this can be used to predict a flagellar function for two new kinesin families. Finally, we present a set of hidden Markov models that can reliably place most new kinesin sequences into families, even when from an organism at a great evolutionary distance from those in the analysis.