Max-Planck Institute of Colloids and Interfaces, Am Muehlenberg 1, 14476 Potsdam, Germany.
Max-Planck Institute for Molecular Plant Physiology, Am Muehlenberg 1, 14476 Potsdam, Germany.
Trends Plant Sci. 2017 Apr;22(4):298-307. doi: 10.1016/j.tplants.2016.12.011. Epub 2017 Jan 23.
Understanding how genomes change as organisms become more complex is a central question in evolution. Molecular evolutionary studies typically correlate the appearance of genes and gene families with the emergence of biological pathways and morphological features. While such approaches are of great importance to understand how organisms evolve, they are also limited, as functionally related genes work together in contexts of dynamic gene networks. Since functionally related genes are often transcriptionally coregulated, gene coexpression networks present a resource to study the evolution of biological pathways. In this opinion article, we discuss recent developments in this field and how coexpression analyses can be merged with existing genomic approaches to transfer functional knowledge between species to study the appearance or extension of pathways.
了解基因组在生物变得更加复杂时如何发生变化,是进化研究的核心问题。分子进化研究通常将基因和基因家族的出现与生物途径和形态特征的出现联系起来。虽然这些方法对于理解生物如何进化非常重要,但它们也存在局限性,因为功能相关的基因在动态基因网络的背景下共同发挥作用。由于功能相关的基因通常在转录水平上共同调控,因此基因共表达网络为研究生物途径的进化提供了一种资源。在这篇观点文章中,我们讨论了该领域的最新进展,以及如何将共表达分析与现有的基因组方法相结合,在物种间传递功能知识,以研究途径的出现或扩展。