Evolutionary rate depends on number of protein-protein interactions independently of gene expression level.

Evolutionary rate depends on number of protein-protein interactions independently of gene expression level.
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DOI:
10.1186/1471-2148-4-13
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发表时间:
2004-05-27
影响因子:
3.4
通讯作者:
Hirsh AE
Hirsh AE
中科院分区:
生物学2区
文献类型:
--
作者:
Fraser HB;Hirsh AE

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蛋白质与其他蛋白质的物理相互作用的数量是否在确定其进化速率中起作用一直是一个有争议的问题。最近的一项分析表明,相互作用数量与进化率之间观察到的相关性可能是由于高通量蛋白相互作用数据集中的实验偏差所致。 通过某些蛋白质相互作用数据集测量,每种蛋白质的相互作用数量与进化速率无关。但是,其他数据集确实揭示了关系。此外,即使考虑了这些数据集的实验偏差,相互作用数量和进化率之间的实际相关性也似乎存在。 对于某些研究的相互作用数据,蛋白质的相互作用数量与进化率之间存在很强的相关性。不同蛋白质相互作用数据集之间的极低一致性表明,相互作用数据仍然低于覆盖率和/或质量。这些局限性可以解释为什么某些数据集显示与进化率没有相关性。
Whether or not a protein's number of physical interactions with other proteins plays a role in determining its rate of evolution has been a contentious issue. A recent analysis suggested that the observed correlation between number of interactions and evolutionary rate may be due to experimental biases in high-throughput protein interaction data sets. The number of interactions per protein, as measured by some protein interaction data sets, shows no correlation with evolutionary rate. Other data sets, however, do reveal a relationship. Furthermore, even when experimental biases of these data sets are taken into account, a real correlation between number of interactions and evolutionary rate appears to exist. A strong and significant correlation between a protein's number of interactions and evolutionary rate is apparent for interaction data from some studies. The extremely low agreement between different protein interaction data sets indicates that interaction data are still of low coverage and/or quality. These limitations may explain why some data sets reveal no correlation with evolutionary rates.
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