Structure and function of the feed-forward loop network motif

Engineered systems are often built of recurring circuit modules that carry out key functions. Transcription networks that regulate the responses of living cells were recently found to obey similar principles: they contain several biochemical wiring patterns, termed network motifs, which recur throughout the network. One of these motifs is the feed-forward loop (FFL). The FFL, a three-gene pattern, is composed of two input transcription factors, one of which regulates the other, both jointly regulating a target gene. The FFL has eight possible structural types, because each of the three interactions in the FFL can be activating or repressing. Here, we theoretically analyze the functions of these eight structural types. We find that four of the FFL types, termed incoherent FFLs, act as sign-sensitive accelerators: they speed up the response time of the target gene expression following stimulus steps in one direction (e.g., off to on) but not in the other direction (on to off). The other four types, coherent FFLs, act as sign-sensitive delays. We find that some FFL types appear in transcription network databases much more frequently than others. In some cases, the rare FFL types have reduced functionality (responding to only one of their two input stimuli), which may partially explain why they are selected against. Additional features, such as pulse generation and cooperativity, are discussed. This study defines the function of one of the most significant recurring circuit elements in transcription networks.

[1]  S. Kauffman Metabolic stability and epigenesis in randomly constructed genetic nets. , 1969, Journal of theoretical biology.

[2]  M A Savageau,et al.  Genetic regulatory mechanisms and the ecological niche of Escherichia coli. , 1974, Proceedings of the National Academy of Sciences of the United States of America.

[3]  M. Savageau Comparison of classical and autogenous systems of regulation in inducible operons , 1974, Nature.

[4]  M. Savageau Biochemical Systems Analysis: A Study of Function and Design in Molecular Biology , 1976 .

[5]  K. F. Tipton,et al.  Biochemical systems analysis: A study of function and design in molecular biology , 1978 .

[6]  J. Ross,et al.  Computational functions in biochemical reaction networks. , 1994, Biophysical journal.

[7]  R Thomas,et al.  Dynamical behaviour of biological regulatory networks--I. Biological role of feedback loops and practical use of the concept of the loop-characteristic state. , 1995, Bulletin of mathematical biology.

[8]  D. Bray Protein molecules as computational elements in living cells , 1995, Nature.

[9]  Dual-function regulators: the cAMP receptor protein and the CytR regulator can act either to repress or to activate transcription depending on the context. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[10]  R. Gunsalus,et al.  Effect of microaerophilic cell growth conditions on expression of the aerobic (cyoABCDE and cydAB) and anaerobic (narGHJI, frdABCD, and dmsABC) respiratory pathway genes in Escherichia coli , 1996, Journal of bacteriology.

[11]  S. Leibler,et al.  Robustness in simple biochemical networks , 1997, Nature.

[12]  A. Arkin,et al.  Simulation of prokaryotic genetic circuits. , 1998, Annual review of biophysics and biomolecular structure.

[13]  Araceli M. Huerta,et al.  From specific gene regulation to genomic networks: a global analysis of transcriptional regulation in Escherichia coli. , 1998, BioEssays : news and reviews in molecular, cellular and developmental biology.

[14]  U. Alon,et al.  Robustness in bacterial chemotaxis , 2022 .

[15]  Christopher C. Moser,et al.  Natural engineering principles of electron tunnelling in biological oxidation–reduction , 1999, Nature.

[16]  J. Collins,et al.  Construction of a genetic toggle switch in Escherichia coli , 2000, Nature.

[17]  M. Elowitz,et al.  A synthetic oscillatory network of transcriptional regulators , 2000, Nature.

[18]  L. Serrano,et al.  Engineering stability in gene networks by autoregulation , 2000, Nature.

[19]  R. Gunsalus,et al.  Interplay between three global regulatory proteins mediates oxygen regulation of the Escherichia coli cytochrome d oxidase (cydAB) operon , 2000, Molecular microbiology.

[20]  J. Doyle,et al.  Robust perfect adaptation in bacterial chemotaxis through integral feedback control. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[21]  B. Séraphin,et al.  Positive feedback in eukaryotic gene networks: cell differentiation by graded to binary response conversion , 2001, The EMBO journal.

[22]  U. Alon,et al.  Negative autoregulation speeds the response times of transcription networks. , 2002, Journal of molecular biology.

[23]  K. Sneppen,et al.  Specificity and Stability in Topology of Protein Networks , 2002, Science.

[24]  E. Davidson,et al.  Modeling transcriptional regulatory networks. , 2002, BioEssays : news and reviews in molecular, cellular and developmental biology.

[25]  S. Shen-Orr,et al.  Network motifs in the transcriptional regulation network of Escherichia coli , 2002, Nature Genetics.

[26]  Nicola J. Rinaldi,et al.  Transcriptional Regulatory Networks in Saccharomyces cerevisiae , 2002, Science.

[27]  S. Shen-Orr,et al.  Network motifs: simple building blocks of complex networks. , 2002, Science.

[28]  M. Elowitz,et al.  Combinatorial Synthesis of Genetic Networks , 2002, Science.

[29]  Katherine C. Chen,et al.  Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell. , 2003, Current opinion in cell biology.

[30]  Nicolas E. Buchler,et al.  On schemes of combinatorial transcription logic , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[31]  Uri Alon,et al.  Response delays and the structure of transcription networks. , 2003, Journal of molecular biology.

[32]  U. Alon,et al.  Detailed map of a cis-regulatory input function , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[33]  Mads Kærn,et al.  Noise in eukaryotic gene expression , 2003, Nature.