Indirect and suboptimal control of gene expression is widespread in bacteria

Gene regulation in bacteria is usually described as an adaptive response to an environmental change so that genes are expressed when they are required. We instead propose that most genes are under indirect control: their expression responds to signal(s) that are not directly related to the genes’ function. Indirect control should perform poorly in artificial conditions, and we show that gene regulation is often maladaptive in the laboratory. In Shewanella oneidensis MR‐1, 24% of genes are detrimental to fitness in some conditions, and detrimental genes tend to be highly expressed instead of being repressed when not needed. In diverse bacteria, there is little correlation between when genes are important for optimal growth or fitness and when those genes are upregulated. Two common types of indirect control are constitutive expression and regulation by growth rate; these occur for genes with diverse functions and often seem to be suboptimal. Because genes that have closely related functions can have dissimilar expression patterns, regulation may be suboptimal in the wild as well as in the laboratory.

[1]  A. Travers,et al.  Promoter Sequence for Stringent Control of Bacterial Ribonucleic Acid Synthesis , 1980, Journal of bacteriology.

[2]  P. Rogers,et al.  Minimal Medium for Isolation of Auxotrophic Zymomonas Mutants , 1982, Applied and environmental microbiology.

[3]  M. Bulmer The selection-mutation-drift theory of synonymous codon usage. , 1991, Genetics.

[4]  H. Mori,et al.  Evolutionary instability of operon structures disclosed by sequence comparisons of complete microbial genomes. , 1999, Molecular biology and evolution.

[5]  H. Bremer Modulation of Chemical Composition and Other Parameters of the Cell by Growth Rate , 1999 .

[6]  K. Klose,et al.  The novel σ54‐ and σ28‐dependent flagellar gene transcription hierarchy of Vibrio cholerae , 2001, Molecular microbiology.

[7]  S. Salzberg,et al.  Prediction of operons in microbial genomes. , 2001, Nucleic acids research.

[8]  E. Koonin,et al.  Genome alignment, evolution of prokaryotic genome organization, and prediction of gene function using genomic context. , 2001, Genome research.

[9]  J. Stone,et al.  Rapid evolution of cis-regulatory sequences via local point mutations. , 2001, Molecular biology and evolution.

[10]  Michael Y. Galperin,et al.  The COG database: new developments in phylogenetic classification of proteins from complete genomes , 2001, Nucleic Acids Res..

[11]  Owen White,et al.  The Comprehensive Microbial Resource , 2001, Nucleic Acids Res..

[12]  Eugene V Koonin,et al.  Connected gene neighborhoods in prokaryotic genomes. , 2002, Nucleic acids research.

[13]  Ronald W. Davis,et al.  Transcriptional response of Saccharomyces cerevisiae to DNA-damaging agents does not identify the genes that protect against these agents , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[14]  A. Valencia,et al.  Analysis of the Cellular Functions of Escherichia coli Operons and Their Conservation in Bacillus subtilis , 2002, Journal of Molecular Evolution.

[15]  Anirvan M. Sengupta,et al.  Specificity and robustness in transcription control networks , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[16]  Nikolaus Rajewsky,et al.  The evolution of DNA regulatory regions for proteo-gamma bacteria by interspecies comparisons. , 2002, Genome research.

[17]  C. Lawrence,et al.  Factors influencing the identification of transcription factor binding sites by cross-species comparison. , 2002, Genome research.

[18]  Ronald W. Davis,et al.  Functional profiling of the Saccharomyces cerevisiae genome , 2002, Nature.

[19]  A. Beliaev,et al.  Involvement of Cyclic AMP (cAMP) and cAMP Receptor Protein in Anaerobic Respiration of Shewanella oneidensis , 2003, Journal of bacteriology.

[20]  J. Collado-Vides,et al.  Identifying global regulators in transcriptional regulatory networks in bacteria. , 2003, Current opinion in microbiology.

[21]  Jeremy D. Glasner,et al.  Genome-Scale Analysis of the Uses of the Escherichia coli Genome: Model-Driven Analysis of Heterogeneous Data Sets , 2003, Journal of bacteriology.

[22]  Stephen Lory,et al.  A four‐tiered transcriptional regulatory circuit controls flagellar biogenesis in Pseudomonas aeruginosa , 2003, Molecular microbiology.

[23]  E. Nimwegen Scaling Laws in the Functional Content of Genomes , 2003, physics/0307001.

[24]  John W. Foster,et al.  DksA A Critical Component of the Transcription Initiation Machinery that Potentiates the Regulation of rRNA Promoters by ppGpp and the Initiating NTP , 2004, Cell.

[25]  Johannes Berg,et al.  Adaptive evolution of transcription factor binding sites , 2003, BMC Evolutionary Biology.

[26]  M. Wall,et al.  Design of gene circuits: lessons from bacteria , 2004, Nature Reviews Genetics.

[27]  Benli Chai,et al.  Survival of Shewanella oneidensis MR-1 after UV Radiation Exposure , 2004, Applied and Environmental Microbiology.

[28]  Dorothea K. Thompson,et al.  Transcriptome Analysis of Shewanella oneidensis MR-1 in Response to Elevated Salt Conditions , 2005, Journal of bacteriology.

[29]  Katherine H. Huang,et al.  A novel method for accurate operon predictions in all sequenced prokaryotes , 2005, Nucleic acids research.

[30]  J. Belasco,et al.  Lost in translation: the influence of ribosomes on bacterial mRNA decay. , 2005, Genes & development.

[31]  U. Sauer,et al.  Large-scale in vivo flux analysis shows rigidity and suboptimal performance of Bacillus subtilis metabolism , 2005, Nature Genetics.

[32]  U. Alon,et al.  Optimality and evolutionary tuning of the expression level of a protein , 2005, Nature.

[33]  Uri Alon,et al.  Coding limits on the number of transcription factors , 2006, BMC Genomics.

[34]  Hamid Bolouri,et al.  Expression and functional profiling reveal distinct gene classes involved in fatty acid metabolism , 2006, Molecular systems biology.

[35]  M. Riley,et al.  Genomic Analysis of Carbon Source Metabolism of Shewanella oneidensis MR-1: Predictions versus Experiments , 2006, Journal of Bacteriology.

[36]  Melanie B. Berkmen,et al.  rRNA Promoter Regulation by Nonoptimal Binding of σ Region 1.2: An Additional Recognition Element for RNA Polymerase , 2006, Cell.

[37]  A. Arkin,et al.  The Life-Cycle of Operons , 2006, PLoS genetics.

[38]  H. Mori,et al.  Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection , 2006, Molecular systems biology.

[39]  Corey Nislow,et al.  Genome-wide analysis of barcoded Saccharomyces cerevisiae gene-deletion mutants in pooled cultures , 2007, Nature Protocols.

[40]  Paramvir S. Dehal,et al.  Horizontal gene transfer and the evolution of transcriptional regulation in Escherichia coli , 2008, Genome Biology.

[41]  E. Marcotte,et al.  Absolute protein expression profiling estimates the relative contributions of transcriptional and translational regulation , 2007, Nature Biotechnology.

[42]  Grigoriy E. Pinchuk,et al.  Utilization of DNA as a Sole Source of Phosphorus, Carbon, and Energy by Shewanella spp.: Ecological and Physiological Implications for Dissimilatory Metal Reduction , 2007, Applied and Environmental Microbiology.

[43]  M. Lynch The evolution of genetic networks by non-adaptive processes , 2007, Nature Reviews Genetics.

[44]  Adam P. Arkin,et al.  Orthologous Transcription Factors in Bacteria Have Different Functions and Regulate Different Genes , 2007, PLoS Comput. Biol..

[45]  Daniel M. Stoebel,et al.  The Cost of Expression of Escherichia coli lac Operon Proteins Is in the Process, Not in the Products , 2008, Genetics.

[46]  Jeremiah J. Faith,et al.  Many Microbe Microarrays Database: uniformly normalized Affymetrix compendia with structured experimental metadata , 2007, Nucleic Acids Res..

[47]  Julio Collado-Vides,et al.  The role of DNA-binding specificity in the evolution of bacterial regulatory networks. , 2008, Journal of molecular biology.

[48]  C. Pál,et al.  Integration of horizontally transferred genes into regulatory interaction networks takes many million years. , 2008, Molecular biology and evolution.

[49]  Saeed Tavazoie,et al.  Predictive Behavior within Microbial Genetic Networks , 2009 .

[50]  M. Suyama,et al.  Transcriptome Complexity in a Genome-Reduced Bacterium , 2009, Science.

[51]  Y. Pilpel,et al.  Adaptive prediction of environmental changes by microorganisms , 2009, Nature.

[52]  N. Luscombe,et al.  Principles of transcriptional regulation and evolution of the metabolic system in E. coli. , 2009, Genome research.

[53]  Leopold Parts,et al.  Simultaneous assay of every Salmonella Typhi gene using one million transposon mutants. , 2009, Genome research.

[54]  Griffin M. Weber,et al.  BioNumbers—the database of key numbers in molecular and cell biology , 2009, Nucleic Acids Res..

[55]  Kristin Reiche,et al.  The primary transcriptome of the major human pathogen Helicobacter pylori , 2010, Nature.

[56]  J. Tiedje,et al.  Fnr (EtrA) acts as a fine-tuning regulator of anaerobic metabolism in Shewanella oneidensis MR-1 , 2011, BMC Microbiology.

[57]  U. Alon,et al.  Cost of unneeded proteins in E. coli is reduced after several generations in exponential growth. , 2010, Molecular cell.

[58]  Sarah A. Teichmann,et al.  Genomic repertoires of DNA-binding transcription factors across the tree of life , 2010, Nucleic acids research.

[59]  Paul J. Choi,et al.  Quantifying E. coli Proteome and Transcriptome with Single-Molecule Sensitivity in Single Cells , 2010, Science.

[60]  Inna Dubchak,et al.  RegPrecise: a database of curated genomic inferences of transcriptional regulatory interactions in prokaryotes , 2009, Nucleic Acids Res..

[61]  Jim K. Fredrickson,et al.  Constraint-Based Model of Shewanella oneidensis MR-1 Metabolism: A Tool for Data Analysis and Hypothesis Generation , 2010, PLoS Comput. Biol..

[62]  Inna Dubchak,et al.  MicrobesOnline: an integrated portal for comparative and functional genomics , 2009, Nucleic Acids Res..

[63]  R. Gourse,et al.  Direct regulation of Escherichia coli ribosomal protein promoters by the transcription factors ppGpp and DksA , 2011, Proceedings of the National Academy of Sciences.

[64]  Adam P. Arkin,et al.  Evidence-Based Annotation of Gene Function in Shewanella oneidensis MR-1 Using Genome-Wide Fitness Profiling across 121 Conditions , 2011, PLoS genetics.

[65]  Julio Collado-Vides,et al.  RegulonDB version 7.0: transcriptional regulation of Escherichia coli K-12 integrated within genetic sensory response units (Gensor Units) , 2010, Nucleic Acids Res..

[66]  Yitzhak Pilpel,et al.  A mathematical model for adaptive prediction of environmental changes by microorganisms , 2011, Proceedings of the National Academy of Sciences.

[67]  A. Arkin,et al.  Evidence-Based Annotation of Transcripts and Proteins in the Sulfate-Reducing Bacterium Desulfovibrio vulgaris Hildenborough , 2011, Journal of bacteriology.

[68]  Reinhard Guthke,et al.  Optimal regulatory strategies for metabolic pathways in Escherichia coli depending on protein costs , 2011, Molecular Systems Biology.

[69]  O. Berg,et al.  Selection-Driven Gene Loss in Bacteria , 2012, PLoS genetics.

[70]  Victor Chubukov,et al.  Regulatory architecture determines optimal regulation of gene expression in metabolic pathways , 2012, Proceedings of the National Academy of Sciences.

[71]  Tanja Kortemme,et al.  Cost-Benefit Tradeoffs in Engineered lac Operons , 2012, Science.

[72]  Uri Alon,et al.  Mode of regulation and the insulation of bacterial gene expression. , 2012, Molecular cell.