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自然选择支配秀丽隐杆线虫中局部而非全局的进化基因共表达网络。

Natural selection governs local, but not global, evolutionary gene coexpression networks in Caenorhabditis elegans.

作者信息

Jordan I King, Katz Lee S, Denver Dee R, Streelman J Todd

机构信息

School of Biology, Georgia Institute of Technology, Atlanta, GA, USA.

出版信息

BMC Syst Biol. 2008 Nov 13;2:96. doi: 10.1186/1752-0509-2-96.

Abstract

BACKGROUND

Large-scale evaluation of gene expression variation among Caenorhabditis elegans lines that have diverged from a common ancestor allows for the analysis of a novel class of biological networks - evolutionary gene coexpression networks. Comparative analysis of these evolutionary networks has the potential to uncover the effects of natural selection in shaping coexpression network topologies since C. elegans mutation accumulation (MA) lines evolve essentially free from the effects of natural selection, whereas natural isolate (NI) populations are subject to selective constraints.

RESULTS

We compared evolutionary gene coexpression networks for C. elegans MA lines versus NI populations to evaluate the role that natural selection plays in shaping the evolution of network topologies. MA and NI evolutionary gene coexpression networks were found to have very similar global topological properties as measured by a number of network topological parameters. Observed MA and NI networks show node degree distributions and average values for node degree, clustering coefficient, path length, eccentricity and betweeness that are statistically indistinguishable from one another yet highly distinct from randomly simulated networks. On the other hand, at the local level the MA and NI coexpression networks are highly divergent; pairs of genes coexpressed in the MA versus NI lines are almost entirely different as are the connectivity and clustering properties of individual genes.

CONCLUSION

It appears that selective forces shape how local patterns of coexpression change over time but do not control the global topology of C. elegans evolutionary gene coexpression networks. These results have implications for the evolutionary significance of global network topologies, which are known to be conserved across disparate complex systems.

摘要

背景

对从共同祖先分化而来的秀丽隐杆线虫品系间基因表达变异进行大规模评估,有助于分析一类新型生物网络——进化基因共表达网络。对这些进化网络进行比较分析,有可能揭示自然选择在塑造共表达网络拓扑结构中的作用,因为秀丽隐杆线虫突变积累(MA)品系在进化过程中基本不受自然选择影响,而自然分离株(NI)群体则受到选择限制。

结果

我们比较了秀丽隐杆线虫MA品系与NI群体的进化基因共表达网络,以评估自然选择在塑造网络拓扑结构进化中所起的作用。通过多个网络拓扑参数测量发现,MA和NI进化基因共表达网络具有非常相似的全局拓扑特性。观察到的MA和NI网络显示,节点度分布以及节点度、聚类系数、路径长度、偏心率和介数的平均值在统计学上彼此无法区分,但与随机模拟网络有很大不同。另一方面,在局部水平上,MA和NI共表达网络高度不同;在MA品系与NI品系中共表达的基因对几乎完全不同,单个基因的连接性和聚类特性也是如此。

结论

似乎选择力塑造了共表达局部模式随时间的变化方式,但并不控制秀丽隐杆线虫进化基因共表达网络的全局拓扑结构。这些结果对全局网络拓扑结构的进化意义具有启示作用,已知全局网络拓扑结构在不同的复杂系统中是保守的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d10/2596099/fc06feba1260/1752-0509-2-96-1.jpg

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