Motif Participation by Genes in E. coli Transcriptional Networks

Motifs are patterns of recurring connections among the genes of genetic networks that occur more frequently than would be expected from randomized networks with the same degree sequence. Although the abundance of certain three-node motifs, such as the feed-forward loop, is positively correlated with...

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Main Authors: Michael eMayo, Ahmed eAbdelzaher, Edward J Perkins, Preetam eGhosh
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-09-01
Series:Frontiers in Physiology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fphys.2012.00357/full
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spelling doaj-5685d92fdf1441ea88ca5f9e769e34602020-11-25T00:30:07ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2012-09-01310.3389/fphys.2012.0035726933Motif Participation by Genes in E. coli Transcriptional NetworksMichael eMayo0Ahmed eAbdelzaher1Edward J Perkins2Preetam eGhosh3US Army Engineer Research and Development CenterVirginia Commonwealth UniversityUS Army Engineer Research and Development CenterVirginia Commonwealth UniversityMotifs are patterns of recurring connections among the genes of genetic networks that occur more frequently than would be expected from randomized networks with the same degree sequence. Although the abundance of certain three-node motifs, such as the feed-forward loop, is positively correlated with a networks’ ability to tolerate moderate disruptions to gene expression, little is known regarding the connectivity of individual genes participating in multiple motifs. Using the transcriptional network of the bacterium Escherichia coli, we investigate this feature by reconstructing the distribution of genes participating in feed-forward loop motifs from its largest connected network component. We contrast these motif participation distributions with those obtained from model networks built using the preferential attachment mechanism employed by many biological and man-made networks. We report that, although some of these model networks support a motif participation distribution that appears qualitatively similar to that obtained from the bacterium Escherichia coli, the probability for a node to support a feed-forward loop motif may instead be strongly influenced by only a few master transcriptional regulators within the network. From these analyses we conclude that such master regulators may be a crucial ingredient to describe coupling among feed-forward loop motifs in transcriptional regulatory networks.http://journal.frontiersin.org/Journal/10.3389/fphys.2012.00357/fullGene Regulatory Networkscomplex networksE. colibiological networksFeed-forward loopmotifs
collection DOAJ
language English
format Article
sources DOAJ
author Michael eMayo
Ahmed eAbdelzaher
Edward J Perkins
Preetam eGhosh
spellingShingle Michael eMayo
Ahmed eAbdelzaher
Edward J Perkins
Preetam eGhosh
Motif Participation by Genes in E. coli Transcriptional Networks
Frontiers in Physiology
Gene Regulatory Networks
complex networks
E. coli
biological networks
Feed-forward loop
motifs
author_facet Michael eMayo
Ahmed eAbdelzaher
Edward J Perkins
Preetam eGhosh
author_sort Michael eMayo
title Motif Participation by Genes in E. coli Transcriptional Networks
title_short Motif Participation by Genes in E. coli Transcriptional Networks
title_full Motif Participation by Genes in E. coli Transcriptional Networks
title_fullStr Motif Participation by Genes in E. coli Transcriptional Networks
title_full_unstemmed Motif Participation by Genes in E. coli Transcriptional Networks
title_sort motif participation by genes in e. coli transcriptional networks
publisher Frontiers Media S.A.
series Frontiers in Physiology
issn 1664-042X
publishDate 2012-09-01
description Motifs are patterns of recurring connections among the genes of genetic networks that occur more frequently than would be expected from randomized networks with the same degree sequence. Although the abundance of certain three-node motifs, such as the feed-forward loop, is positively correlated with a networks’ ability to tolerate moderate disruptions to gene expression, little is known regarding the connectivity of individual genes participating in multiple motifs. Using the transcriptional network of the bacterium Escherichia coli, we investigate this feature by reconstructing the distribution of genes participating in feed-forward loop motifs from its largest connected network component. We contrast these motif participation distributions with those obtained from model networks built using the preferential attachment mechanism employed by many biological and man-made networks. We report that, although some of these model networks support a motif participation distribution that appears qualitatively similar to that obtained from the bacterium Escherichia coli, the probability for a node to support a feed-forward loop motif may instead be strongly influenced by only a few master transcriptional regulators within the network. From these analyses we conclude that such master regulators may be a crucial ingredient to describe coupling among feed-forward loop motifs in transcriptional regulatory networks.
topic Gene Regulatory Networks
complex networks
E. coli
biological networks
Feed-forward loop
motifs
url http://journal.frontiersin.org/Journal/10.3389/fphys.2012.00357/full
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