Bacterial Adaptation through Loss of Function

The metabolic capabilities and regulatory networks of bacteria have been optimized by evolution in response to selective pressures present in each species' native ecological niche. In a new environment, however, the same bacteria may grow poorly due to regulatory constraints or biochemical deficiencies. Adaptation to such conditions can proceed through the acquisition of new cellular functionality due to gain of function mutations or via modulation of cellular networks. Using selection experiments on transposon-mutagenized libraries of bacteria, we illustrate that even under conditions of extreme nutrient limitation, substantial adaptation can be achieved solely through loss of function mutations, which rewire the metabolism of the cell without gain of enzymatic or sensory function. A systematic analysis of similar experiments under more than 100 conditions reveals that adaptive loss of function mutations exist for many environmental challenges. Drawing on a wealth of examples from published articles, we detail the range of mechanisms through which loss-of-function mutations can generate such beneficial regulatory changes, without the need for rare, specific mutations to fine-tune enzymatic activities or network connections. The high rate at which loss-of-function mutations occur suggests that null mutations play an underappreciated role in the early stages of adaption of bacterial populations to new environments.

[1]  Michael Doebeli,et al.  Parallel Evolutionary Dynamics of Adaptive Diversification in Escherichia coli , 2013, PLoS biology.

[2]  Wenfeng Qian,et al.  The genomic landscape and evolutionary resolution of antagonistic pleiotropy in yeast. , 2012, Cell reports.

[3]  D. Bhattacharya,et al.  Faculty Opinions recommendation of Genomic analysis of a key innovation in an experimental Escherichia coli population. , 2012 .

[4]  Peter L. Freddolino,et al.  Beyond homeostasis: a predictive-dynamic framework for understanding cellular behavior. , 2012, Annual review of cell and developmental biology.

[5]  A. Maurelli,et al.  Antivirulence Genes: Insights into Pathogen Evolution through Gene Loss , 2012, Infection and Immunity.

[6]  Haixu Tang,et al.  Rate and molecular spectrum of spontaneous mutations in the bacterium Escherichia coli as determined by whole-genome sequencing , 2012, Proceedings of the National Academy of Sciences.

[7]  G. Micheli,et al.  Shedding of genes that interfere with the pathogenic lifestyle: the Shigella model. , 2012, Research in microbiology.

[8]  E. Stewart Growing Unculturable Bacteria , 2012, Journal of bacteriology.

[9]  Peter L. Freddolino,et al.  Fitness Landscape Transformation through a Single Amino Acid Change in the Rho Terminator , 2012, PLoS genetics.

[10]  B. Colonna,et al.  A New Piece of the Shigella Pathogenicity Puzzle: Spermidine Accumulationby Silencing of the speG Gene , 2011, PloS one.

[11]  Janice K. Wiedenbeck,et al.  Origins of bacterial diversity through horizontal genetic transfer and adaptation to new ecological niches. , 2011, FEMS microbiology reviews.

[12]  R. Lenski,et al.  Negative Epistasis Between Beneficial Mutations in an Evolving Bacterial Population , 2011, Science.

[13]  Jeffrey E. Barrick,et al.  Second-Order Selection for Evolvability in a Large Escherichia coli Population , 2011, Science.

[14]  N. Krogan,et al.  Phenotypic Landscape of a Bacterial Cell , 2011, Cell.

[15]  J. Heesemann,et al.  Adaptation of Pseudomonas aeruginosa during persistence in the cystic fibrosis lung. , 2010, International journal of medical microbiology : IJMM.

[16]  A. Keane-Myers,et al.  Activation of the latent PlcR regulon in Bacillus anthracis , 2010, Microbiology.

[17]  V. Wendisch,et al.  Putrescine production by engineered Corynebacterium glutamicum , 2010, Applied Microbiology and Biotechnology.

[18]  Saeed Tavazoie,et al.  Molecular Systems Biology 6; Article number 378; doi:10.1038/msb.2010.33 Citation: Molecular Systems Biology 6:378 , 2022 .

[19]  O. Elemento,et al.  Revealing global regulatory perturbations across human cancers. , 2009, Molecular cell.

[20]  Diarmaid Hughes,et al.  Gene amplification and adaptive evolution in bacteria. , 2009, Annual review of genetics.

[21]  R. Kishony,et al.  Nonoptimal Microbial Response to Antibiotics Underlies Suppressive Drug Interactions , 2009, Cell.

[22]  A. Kolstø,et al.  What sets Bacillus anthracis apart from other Bacillus species? , 2009, Annual review of microbiology.

[23]  Alison K. Hottes,et al.  Genetic Architecture of Intrinsic Antibiotic Susceptibility , 2009, PloS one.

[24]  Sasan Amini,et al.  Genetic Dissection of an Exogenously Induced Biofilm in Laboratory and Clinical Isolates of E. coli , 2009, PLoS pathogens.

[25]  R. Hancock,et al.  Novel Genetic Determinants of Low-Level Aminoglycoside Resistance in Pseudomonas aeruginosa , 2008, Antimicrobial Agents and Chemotherapy.

[26]  Saeed Tavazoie,et al.  Predictive Behavior Within Microbial Genetic Networks , 2008, Science.

[27]  J. Collins,et al.  A Common Mechanism of Cellular Death Induced by Bactericidal Antibiotics , 2007, Cell.

[28]  J. Kato,et al.  Construction of consecutive deletions of the Escherichia coli chromosome , 2007, Molecular systems biology.

[29]  Isabel Gordo,et al.  Adaptive Mutations in Bacteria: High Rate and Small Effects , 2007, Science.

[30]  Saeed Tavazoie,et al.  A Comprehensive Genetic Characterization of Bacterial Motility , 2007, PLoS genetics.

[31]  A. Maurelli,et al.  nadA and nadB of Shigella flexneri 5a are antivirulence loci responsible for the synthesis of quinolinate, a small molecule inhibitor of Shigella pathogenicity. , 2007, Microbiology.

[32]  J. Coyne,et al.  THE LOCUS OF EVOLUTION: EVO DEVO AND THE GENETICS OF ADAPTATION , 2007, Evolution; international journal of organic evolution.

[33]  Ronan M. T. Fleming,et al.  Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0 , 2007, Nature Protocols.

[34]  G. Wray The evolutionary significance of cis-regulatory mutations , 2007, Nature Reviews Genetics.

[35]  U. Alon,et al.  A comprehensive library of fluorescent transcriptional reporters for Escherichia coli , 2006, Nature Methods.

[36]  David A. D'Argenio,et al.  Genetic adaptation by Pseudomonas aeruginosa to the airways of cystic fibrosis patients. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

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

[38]  S. Finkel Long-term survival during stationary phase: evolution and the GASP phenotype , 2006, Nature Reviews Microbiology.

[39]  S. Rosenberg,et al.  A switch from high-fidelity to error-prone DNA double-strand break repair underlies stress-induced mutation. , 2005, Molecular cell.

[40]  Emmanuelle Lerat,et al.  Recognizing the pseudogenes in bacterial genomes , 2005, Nucleic acids research.

[41]  R. Lenski,et al.  Long-Term Experimental Evolution in Escherichia coli. XII. DNA Topology as a Key Target of Selection , 2005, Genetics.

[42]  S. Finkel,et al.  The Growth Advantage in Stationary-Phase PhenotypeConferred by rpoS Mutations Is Dependent on the pH andNutrientEnvironment , 2003, Journal of bacteriology.

[43]  M. Mock,et al.  The incompatibility between the PlcR‐ and AtxA‐controlled regulons may have selected a nonsense mutation in Bacillus anthracis , 2001, Molecular microbiology.

[44]  S. Rosenberg Evolving responsively: adaptive mutation , 2001, Nature Reviews Genetics.

[45]  Richard E. Lenski,et al.  Mechanisms Causing Rapid and Parallel Losses of Ribose Catabolism in Evolving Populations of Escherichia coli B , 2001, Journal of bacteriology.

[46]  F. Baquero Low-level antibacterial resistance: a gateway to clinical resistance. , 2001, Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy.

[47]  R. Kolter,et al.  Prolonged Stationary-Phase Incubation Selects forlrp Mutations in Escherichia coliK-12 , 2000, Journal of bacteriology.

[48]  B. Wanner,et al.  One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[49]  A. Maurelli,et al.  Inhibition of Shigella flexneri‐induced transepithelial migration of polymorphonuclear leucocytes by cadaverine , 1999, Cellular microbiology.

[50]  H. Agaisse,et al.  PlcR is a pleiotropic regulator of extracellular virulence factor gene expression in Bacillus thuringiensis , 1999, Molecular microbiology.

[51]  C. Kurland,et al.  Reductive evolution of resident genomes. , 1998, Trends in microbiology.

[52]  B. Palsson,et al.  How will bioinformatics influence metabolic engineering? , 1998, Biotechnology and bioengineering.

[53]  C. Bloch,et al.  "Black holes" and bacterial pathogenicity: a large genomic deletion that enhances the virulence of Shigella spp. and enteroinvasive Escherichia coli. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[54]  V. Deretic,et al.  Mucoid Pseudomonas aeruginosa in cystic fibrosis: characterization of muc mutations in clinical isolates and analysis of clearance in a mouse model of respiratory infection , 1997, Infection and immunity.

[55]  H. Nikaido,et al.  Role of outer membrane barrier in efflux-mediated tetracycline resistance of Escherichia coli , 1995, Journal of bacteriology.

[56]  D A Siegele,et al.  Microbial competition: Escherichia coli mutants that take over stationary phase cultures. , 1993, Science.

[57]  L. Enquist,et al.  Experiments With Gene Fusions , 1984 .

[58]  F. Jacob Evolution and tinkering. , 1977, Science.

[59]  F. Neidhardt,et al.  Culture Medium for Enterobacteria , 1974, Journal of bacteriology.

[60]  Alison K. Hottes,et al.  Microarray-based genetic footprinting strategy to identify strain improvement genes after competitive selection of transposon libraries. , 2011, Methods in molecular biology.

[61]  V. Hatzimanikatis,et al.  Manipulating redox and ATP balancing for improved production of succinate in E. coli. , 2011, Metabolic engineering.

[62]  O. Linton Local Regression Models , 2010 .

[63]  Adam M. Feist,et al.  A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information , 2007, Molecular systems biology.

[64]  Ronan M. T. Fleming,et al.  Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0 , 2007, Nature Protocols.

[65]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[66]  K. Struhl,et al.  Current Protocols in Molecular Biology (New York: Greene Publishing Associates and Wiley-Interscience). Host-Range Shuttle System for Gene Insertion into the Chromosomes of Gram-negative Bacteria. , 1988 .

[67]  Paul Schedl,et al.  The locus of , 1984 .