Overbeek R, Fonstein M, D'Souza M, Pusch G D, Maltsev N
Mathematics and Computer Science Division, Argonne National Laboratory, 9700 S. Cass Avenue, Argonne, IL 60439-4844, USA.
Proc Natl Acad Sci U S A. 1999 Mar 16;96(6):2896-901. doi: 10.1073/pnas.96.6.2896.
Previously, we presented evidence that it is possible to predict functional coupling between genes based on conservation of gene clusters between genomes. With the rapid increase in the availability of prokaryotic sequence data, it has become possible to verify and apply the technique. In this paper, we extend our characterization of the parameters that determine the utility of the approach, and we generalize the approach in a way that supports detection of common classes of functionally coupled genes (e.g., transport and signal transduction clusters). Now that the analysis includes over 30 complete or nearly complete genomes, it has become clear that this approach will play a significant role in supporting efforts to assign functionality to the remaining uncharacterized genes in sequenced genomes.
此前,我们已提供证据表明,基于基因组间基因簇的保守性来预测基因间的功能偶联是可行的。随着原核生物序列数据可用性的迅速增加,验证和应用该技术已成为可能。在本文中,我们扩展了对决定该方法实用性的参数的描述,并以一种支持检测常见功能偶联基因类别(如转运和信号转导簇)的方式对该方法进行了推广。由于分析涵盖了30多个完整或近乎完整的基因组,很明显,这种方法将在支持为已测序基因组中其余未表征基因赋予功能的工作中发挥重要作用。