Evolutionary and Topological Properties of Genes and Community Structures in Human Gene Regulatory Networks

Anthony Szedlak, Nicholas Smith, Li Liu, Giovanni Paternostro and Carlo Piermarocchi

PLOS Computational Biology, 2016, vol. 12, issue 6, 1-16

Abstract: The diverse, specialized genes present in today’s lifeforms evolved from a common core of ancient, elementary genes. However, these genes did not evolve individually: gene expression is controlled by a complex network of interactions, and alterations in one gene may drive reciprocal changes in its proteins’ binding partners. Like many complex networks, these gene regulatory networks (GRNs) are composed of communities, or clusters of genes with relatively high connectivity. A deep understanding of the relationship between the evolutionary history of single genes and the topological properties of the underlying GRN is integral to evolutionary genetics. Here, we show that the topological properties of an acute myeloid leukemia GRN and a general human GRN are strongly coupled with its genes’ evolutionary properties. Slowly evolving (“cold”), old genes tend to interact with each other, as do rapidly evolving (“hot”), young genes. This naturally causes genes to segregate into community structures with relatively homogeneous evolutionary histories. We argue that gene duplication placed old, cold genes and communities at the center of the networks, and young, hot genes and communities at the periphery. We demonstrate this with single-node centrality measures and two new measures of efficiency, the set efficiency and the interset efficiency. We conclude that these methods for studying the relationships between a GRN’s community structures and its genes’ evolutionary properties provide new perspectives for understanding evolutionary genetics.Author Summary: We found strong relationships between the community structures and evolutionary properties of an acute myeloid leukemia gene regulatory network (GRN) and a general human GRN. Interacting genes tend to have similar evolutionary ages and rates, causing the GRNs to segregate into slowly-evolving (“cold”), old gene communities and rapidly-evolving (“hot”), young gene communities. The coldest, oldest communities are centrally located and are highly enriched for gene groups related to fundamental cellular functions, whereas the hottest, youngest communities are peripheral and enriched for gene groups related to higher order functions.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pcbi00:1005009

DOI: 10.1371/journal.pcbi.1005009

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