Dataset Information

Genome-scale reconstruction of the Lrp regulatory network in Escherichia coli.

ABSTRACT: Broad-acting transcription factors (TFs) in bacteria form regulons. Here, we present a 4-step method to fully reconstruct the leucine-responsive protein (Lrp) regulon in Escherichia coli K-12 MG 1655 that regulates nitrogen metabolism. Step 1 is composed of obtaining high-resolution ChIP-chip data for Lrp, the RNA polymerase and expression profiles under multiple environmental conditions. We identified 138 unique and reproducible Lrp-binding regions and classified their binding state under different conditions. In the second step, the analysis of these data revealed 6 distinct regulatory modes for individual ORFs. In the third step, we used the functional assignment of the regulated ORFs to reconstruct 4 types of regulatory network motifs around the metabolites that are affected by the corresponding gene products. In the fourth step, we determined how leucine, as a signaling molecule, shifts the regulatory motifs for particular metabolites. The physiological structure that emerges shows the regulatory motifs for different amino acid fall into the traditional classification of amino acid families, thus elucidating the structure and physiological functions of the Lrp-regulon. The same procedure can be applied to other broad-acting TFs, opening the way to full bottom-up reconstruction of the transcriptional regulatory network in bacterial cells.

SUBMITTER: Cho BK

PROVIDER: S-EPMC2614783 | biostudies-literature | 2008 Dec

REPOSITORIES: biostudies-literature

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Genome-scale reconstruction of the Lrp regulatory network in Escherichia coli.

Cho Byung-Kwan BK Barrett Christian L CL Knight Eric M EM Park Young Seoub YS Palsson Bernhard Ø BØ

Proceedings of the National Academy of Sciences of the United States of America 20081203 49

Broad-acting transcription factors (TFs) in bacteria form regulons. Here, we present a 4-step method to fully reconstruct the leucine-responsive protein (Lrp) regulon in Escherichia coli K-12 MG 1655 that regulates nitrogen metabolism. Step 1 is composed of obtaining high-resolution ChIP-chip data for Lrp, the RNA polymerase and expression profiles under multiple environmental conditions. We identified 138 unique and reproducible Lrp-binding regions and classified their binding state under diffe ...[more]

PMID: 19052235

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Project description:Membranes play a crucial role in cellular functions. Membranes provide a physical barrier, control the trafficking of substances entering and leaving the cell, and are a major determinant of cellular ultra-structure. In addition, components embedded within the membrane participate in cell signaling, energy transduction, and other critical cellular functions. All these processes must share the limited space in the membrane; thus it represents a notable constraint on cellular functions. Membrane- and location-based processes have not yet been reconstructed and explicitly integrated into genome-scale models.The recent genome-scale model of metabolism and protein expression in Escherichia coli (called a ME-model) computes the complete composition of the proteome required to perform whole cell functions. Here we expand the ME-model to include (1) a reconstruction of protein translocation pathways, (2) assignment of all cellular proteins to one of four compartments (cytoplasm, inner membrane, periplasm, and outer membrane) and a translocation pathway, (3) experimentally determined translocase catalytic and porin diffusion rates, and (4) a novel membrane constraint that reflects cell morphology. Comparison of computations performed with this expanded ME-model, named iJL1678-ME, against available experimental data reveals that the model accurately describes translocation pathway expression and the functional proteome by compartmentalized mass.iJL1678-ME enables the computation of cellular phenotypes through an integrated computation of proteome composition, abundance, and activity in four cellular compartments (cytoplasm, periplasm, inner and outer membrane). Reconstruction and validation of the model has demonstrated that the iJL1678-ME is capable of capturing the functional content of membranes, cellular compartment-specific composition, and that it can be utilized to examine the effect of perturbing an expanded set of network components. iJL1678-ME takes a notable step towards the inclusion of cellular ultra-structure in genome-scale models.

Project description:The global regulator Lrp plays a crucial role in regulating metabolism, virulence, and motility in response to environmental conditions. Lrp has previously been shown to activate or repress approximately 10% of the genes in Escherichia coli However, the full spectrum of targets, and how Lrp acts to regulate them, have stymied earlier study. We have combined matched chromatin-immunoprecipitation sequencing (ChIP-seq) and RNA sequencing (RNA-seq) under nine physiological conditions to comprehensively map the binding and regulatory activity of Lrp as it directs responses to nutrient abundance. In addition to identifying hundreds of novel Lrp targets, we observe two new global trends, as follows: first, that Lrp will often bind to promoters in a poised position under conditions when it has no regulatory activity to enable combinatorial interactions with other regulators, and second, that nutrient levels induce a global shift in the equilibrium between less-sequence-specific and more-sequence-specific DNA binding. The overall regulatory behavior of Lrp, which as we now show extends to 38% of E. coli genes directly or indirectly under at least one condition, thus arises from the interaction between changes in Lrp binding specificity and cooperative action with other regulators.IMPORTANCE To survive, bacteria such as E. coli must rapidly respond to changing environmental conditions, including nutrient levels. A decrease in nutrient availability causes bacteria to stop rapid replication and enter stationary phase, where they perform limited to no cell division. The E. coli global regulatory protein Lrp has been previously implicated in modulating the expression of genes particularly important at this transition from rapid to slowed growth. Here, we monitor Lrp's DNA binding locations and effect on gene expression under three different nutrient conditions across three growth stages. We find that Lrp's role is even broader than previously suspected and that it appears to interact with many other bacterial regulators to perform its function in a condition-specific manner.

Dataset Information

Genome-scale reconstruction of the Lrp regulatory network in Escherichia coli.

Publications

Genome-scale reconstruction of the Lrp regulatory network in Escherichia coli.

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