Bacterial Adaptation through Loss of Function
Open accessAbstract
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.
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In bacteria, gene loss is a frequent cause of adaptations to various environmental conditions.
“In bacteria, laboratory selection experiments demonstrated that gene loss is a frequent cause of adaptations to various environmental conditions21.”
From A genomics approach reveals insights into the importance of gene losses for mammalian adaptations (2018) · cites this paper as [21]
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Construction of Escherichia coli K‐12 in‐frame, single‐gene knockout mutants: the Keio collection
Baba, T., Ara, T., Hasegawa, M., Takai, Y., Okumura, Y., Baba, M., Datsenko, K. A., Tomita, M., Wanner, B. L., & Mori, H. (2006) · Molecular Systems Biology · doi:10.1038/msb4100050 · Cited by 7,858 · see citing works
Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0
Schellenberger, J., Que, R., Fleming, R. M. T., Thiele, I., Orth, J. D., Feist, A. M., Zielinski, D. C., Bordbar, A., Lewis, N. E., Rahmanian, S., et al. (2011) · Nature Protocols · doi:10.1038/nprot.2011.308 · Cited by 1,835 · see citing works
Long-term survival during stationary phase: evolution and the GASP phenotype
Finkel, S. E. (2006) · Nature Reviews Microbiology · doi:10.1038/nrmicro1340 · Cited by 508 · see citing works
Ponder, R. G., Fonville, N. C., & Rosenberg, S. M. (2005) · Molecular Cell · doi:10.1016/j.molcel.2005.07.025 · Cited by 257 · see citing works
Nonoptimal microbial response to antibiotics underlies suppressive drug interactions
Bollenbach, T., Quan, S., Chait, R., & Kishony, R. (2009) · Cell · doi:10.1016/j.cell.2009.10.025 · Cited by 227 · see citing works
Beyond Homeostasis: A Predictive-Dynamic Framework for Understanding Cellular Behavior
Freddolino, L., & Tavazoie, S. (2012) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-092910-154129 · Cited by 65 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 57
- [2]Tagkopoulos I, Liu YC, Tavazoie S (2008) Predictive behavior within microbial genetic networks. Science 320: 1313– 1317. 18467556 PMC2931280
- [3]Hoekstra HE, Coyne JA (2007) The locus of evolution: evo devo and the genetics of adaptation. Evolution 61: 995– 1016. 17492956
- [4]Jacob F (1977) Evolution and tinkering. Science 196: 1161– 1166. 860134
- [5]Wray GA (2007) The evolutionary significance of cis-regulatory mutations. Nat Rev Genet 8: 206– 216. 17304246
- [6]Wiedenbeck J, Cohan FM (2011) Origins of bacterial diversity through horizontal genetic transfer and adaptation to new ecological niches. FEMS Microbiol Rev 35: 957– 976. 21711367
- [7]Andersson DI, Hughes D (2009) Gene amplification and adaptive evolution in bacteria. Annu Rev Genet 43: 167– 195. 19686082
- [8]Blount ZD, Barrick JE, Davidson CJ, Lenski RE (2012) Genomic analysis of a key innovation in an experimental Escherichia coli population. Nature 489: 513– 518. 22992527 PMC3461117
- [9]Lerat E, Ochman H (2005) Recognizing the pseudogenes in bacterial genomes. Nucleic Acids Res 33: 3125– 3132. 15933207 PMC1142405
- [10]Andersson SG, Kurland CG (1998) Reductive evolution of resident genomes. Trends Microbiol 6: 263– 268. 9717214
- [11]Herron MD, Doebeli M (2013) Parallel Evolutionary Dynamics of Adaptive Diversification in Escherichia coli. PLoS Biol 11: e1001490. 23431270 PMC3576414
- [12]Khan AI, Dinh DM, Schneider D, Lenski RE, Cooper TF (2011) Negative epistasis between beneficial mutations in an evolving bacterial population. Science 332: 1193– 1196. 21636772
- [13]Woods RJ, Barrick JE, Cooper TF, Shrestha U, Kauth MR, et al. (2011) Second-order selection for evolvability in a large Escherichia coli population. Science 331: 1433– 1436. 21415350 PMC3176658
- [14]Nichols RJ, Sen S, Choo YJ, Beltrao P, Zietek M, et al. (2011) Phenotypic landscape of a bacterial cell. Cell 144: 143– 156. 21185072 PMC3060659
- [15]Qian W, Ma D, Xiao C, Wang Z, Zhang J (2012) The genomic landscape and evolutionary resolution of antagonistic pleiotropy in yeast. Cell Rep 2: 1399– 1410. 23103169 PMC3513580
- [16]Thanassi DG, Suh GS, Nikaido H (1995) Role of outer membrane barrier in efflux-mediated tetracycline resistance of Escherichia coli. J Bacteriol 177: 998– 1007. 7860612 PMC176695
- [17]Goodarzi H, Bennett BD, Amini S, Reaves ML, Hottes AK, et al. (2010) Regulatory and metabolic rewiring during laboratory evolution of ethanol tolerance in E. coli. Mol Syst Biol 6: 378. 20531407 PMC2913397
- [18]Girgis HS, Hottes AK, Tavazoie S (2009) Genetic architecture of intrinsic antibiotic susceptibility. PLoS One 4: e5629. 19462005 PMC2680486
- [19]Kohanski MA, Dwyer DJ, Hayete B, Lawrence CA, Collins JJ (2007) A common mechanism of cellular death induced by bactericidal antibiotics. Cell 130: 797– 810. 17803904
- [20]Schurek KN, Marr AK, Taylor PK, Wiegand I, Semenec L, et al. (2008) Novel genetic determinants of low-level aminoglycoside resistance in Pseudomonas aeruginosa. Antimicrob Agents Chemother 52: 4213– 4219. 18824604 PMC2592874
- [21]Girgis HS, Liu Y, Ryu WS, Tavazoie S (2007) A comprehensive genetic characterization of bacterial motility. PLoS Genet 3: 1644– 1660. 17941710 PMC1976333
- [22]Crozat E, Philippe N, Lenski RE, Geiselmann J, Schneider D (2005) Long-term experimental evolution in Escherichia coli. XII. DNA topology as a key target of selection. Genetics 169: 523– 532. 15489515 PMC1449116
- [23]Freddolino L, Goodarzi H, Tavazoie S (2012) Fitness Landscape Transformation through a Single Amino Acid Change in the Rho Terminator. PLoS Genet 8: e1002744. 22693458 PMC3364947
- [24]Goodarzi H, Elemento O, Tavazoie S (2009) Revealing global regulatory perturbations across human cancers. Mol Cell 36: 900– 911. 20005852 PMC2900319
- [25]Edwards JS, Palsson BO (1998) How will bioinformatics influence metabolic engineering? Biotechnol Bioeng 58: 162– 169. 10191386
- [27]Feist AM, Henry CS, Reed JL, Krummenacker M, Joyce AR, et al. (2007) A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information. Mol Syst Biol 3: 121. 17593909 PMC1911197
- [29]Zinser ER, Kolter R (2000) Prolonged stationary-phase incubation selects for lrp mutations in Escherichia coli K-12. J Bacteriol 182: 4361– 4365. 10894750 PMC101964
- [30]Zambrano MM, Siegele DA, Almiron M, Tormo A, Kolter R (1993) Microbial competition: Escherichia coli mutants that take over stationary phase cultures. Science 259: 1757– 1760. 7681219
- [31]Farrell MJ, Finkel SE (2003) The growth advantage in stationary-phase phenotype conferred by rpoS mutations is dependent on the pH and nutrient environment. J Bacteriol 185: 7044– 7052. 14645263 PMC296246
- [32]Schneider J, Wendisch VF (2010) Putrescine production by engineered Corynebacterium glutamicum. Appl Microbiol Biotechnol 88: 859– 868. 20661733
- [33]Singh A, Cher Soh K, Hatzimanikatis V, Gill RT (2011) Manipulating redox and ATP balancing for improved production of succinate in E. coli. Metab Eng 13: 76– 81. 21040799
- [35]Baquero F (2001) Low-level antibacterial resistance: a gateway to clinical resistance. Drug Resist Updat 4: 93– 105. 11512526
- [36]Lee H, Popodi E, Tang H, Foster PL (2012) Rate and molecular spectrum of spontaneous mutations in the bacterium Escherichia coli as determined by whole-genome sequencing. Proc Natl Acad Sci U S A 109: E2774– E2783. 22991466 PMC3478608
- [38]Rosenberg SM (2001) Evolving responsively: adaptive mutation. Nat Rev Genet 2: 504– 515. 11433357
- [39]Cooper VS, Schneider D, Blot M, Lenski RE (2001) Mechanisms causing rapid and parallel losses of ribose catabolism in evolving populations of Escherichia coli B. J Bacteriol 183: 2834– 2841. 11292803 PMC99500
- [40]Perfeito L, Fernandes L, Mota C, Gordo I (2007) Adaptive mutations in bacteria: high rate and small effects. Science 317: 813– 815. 17690297
- [41]Agaisse H, Gominet M, Okstad OA, Kolsto AB, Lereclus D (1999) PlcR is a pleiotropic regulator of extracellular virulence factor gene expression in Bacillus thuringiensis. Mol Microbiol 32: 1043– 1053. 10361306
- [42]Kolsto AB, Tourasse NJ, Okstad OA (2009) What sets Bacillus anthracis apart from other Bacillus species? Annu Rev Microbiol 63: 451– 476. 19514852
- [43]Mignot T, Mock M, Robichon D, Landier A, Lereclus D, et al. (2001) The incompatibility between the PlcR- and AtxA-controlled regulons may have selected a nonsense mutation in Bacillus anthracis. Mol Microbiol 42: 1189– 1198. 11886551
- [44]Sastalla I, Maltese LM, Pomerantseva OM, Pomerantsev AP, Keane-Myers A, et al. (2010) Activation of the latent PlcR regulon in Bacillus anthracis. Microbiology 156: 2982– 2993. 20688829 PMC3068694
- [45]Prosseda G, Di Martino ML, Campilongo R, Fioravanti R, Micheli G, et al. (2012) Shedding of genes that interfere with the pathogenic lifestyle: The Shigella model. Res Microbiol 163: 399– 406. 22824069
- [46]Bliven KA, Maurelli AT (2012) Antivirulence Genes: Insights into pathogen evolution through gene loss. Infect Immun 80: 4061– 4070. 23045475 PMC3497401
- [47]Maurelli AT, Fernández RE, Bloch CA, Rode CK, Fasano A (1998) “Black holes” and bacterial pathogenicity: A large genomic deletion that enhances the virulence of Shigella spp. and enteroinvasive Escherichia coli. Proc Natl Acad Sci U S A 95: 3943– 3948. 9520472 PMC19942
- [48]McCormick BA, Fernandez MI, Siber AM, Maurelli AT (1999) Inhibition of Shigella flexneri-induced transepithelial migration of polymorphonuclear leucocytes by cadaverine. Cell Microbiol 1: 143– 155. 11207548
- [49]Prunier A-L, Schuch R, Fernandez RE, Mumy KL, Kohler H, et al. (2007) nadA and nadB of Shigella flexneri 5a are antivirulence loci responsible for the synthesis of quinolinate, a small molecule inhibitor of Shigella pathogenicity. Microbiology 153: 2363– 2372. 17600080
- [50]Barbagallo M, Di Martino ML, Marcocci L, Pietrangeli P, De Carolis E, et al. (2011) A New Piece of the Shigella Pathogenicity Puzzle: Spermidine Accumulation by Silencing of the speG Gene. PLoS One 6: e27226. 22102881 PMC3213128
- [51]Hogardt M, Heesemann J (2010) Adaptation of Pseudomonas aeruginosa during persistence in the cystic fibrosis lung. Int J Med Microbiol 300: 557– 562. 20943439
- [52]Boucher JC, Yu H, Mudd MH, Deretic V (1997) Mucoid Pseudomonas aeruginosa in cystic fibrosis: characterization of muc mutations in clinical isolates and analysis of clearance in a mouse model of respiratory infection. Infect Immun 65: 3838– 3846. 9284161 PMC175548
- [53]Smith EE, Buckley DG, Wu Z, Saenphimmachak C, Hoffman LR, et al. (2006) Genetic adaptation by Pseudomonas aeruginosa to the airways of cystic fibrosis patients. Proc Natl Acad Sci U S A 103: 8487– 8492. 16687478 PMC1482519
- [54]Stewart EJ (2012) Growing unculturable bacteria. J Bacteriol 194: 4151– 4160. 22661685 PMC3416243
- [55]Ausubel FM, Brent R, Kingston RE, Moore DD, Seidman JG, et al.. (1994) Current protocols in molecular biology. New York, NY: Wiley Interscience.
- [56]Neidhardt FC, Bloch PL, Smith DF (1974) Culture medium for enterobacteria. J Bacteriol 119: 736– 747. 4604283 PMC245675
- [58]Silhavy TJ, Berman ML, Enquist LW (1984) Experiments with gene fusions. Plainview, NY: Cold Spring Harbor Press.
- [59]Datsenko KA, Wanner BL (2000) One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products. Proc Natl Acad Sci U S A 97: 6640– 6645. 10829079 PMC18686
- [60]Hottes AK, Tavazoie S (2011) Microarray-based genetic footprinting strategy to identify strain improvement genes after competitive selection of transposon libraries. Methods Mol Biol 765: 83– 97. 21815088
- [62]Kato J-i, Hashimoto M (2007) Construction of consecutive deletions of the Escherichia coli chromosome. Mol Syst Biol 3: 132. 17700540 PMC1964801
- [63]Zaslaver A, Bren A, Ronen M, Itzkovitz S, Kikoin I, et al. (2006) A comprehensive library of fluorescent transcriptional reporters for Escherichia coli. Nat Methods 3: 623– 628. 16862137
- [64]Amini S, Goodarzi H, Tavazoie S (2009) Genetic dissection of an exogenously induced biofilm in laboratory and clinical isolates of E. coli. PLoS Pathog 5: e1000432. 19436718 PMC2675270
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- Authors
- Hottes, A. K., Freddolino, L., Khare, A., Donnell, Z. N., Liu, J. C., & Tavazoie, S.
- Affiliations
- Princeton University (US)
- Inserm (FR)
- Columbia University (US)
- Corresponding author
- Tavazoie, Saeed
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-07-11
- Volume
- 9
- Issue
- 7
- Pages
- e1003617
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- PMC
- PMC3708842
- OpenAlex
- W1986456585
- Cited by
- 270
- References
- 6
- Citations by year
- 2026: 15 · 2025: 15 · 2024: 37 · 2023: 6 · 2022: 19 · 2021: 41 · 2020: 25 · 2019: 20 · 2018: 22 · 2017: 21 · 2016: 17 · 2015: 7 · 2014: 21 · 2013: 4
- FWCI
- 9.41
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Genetics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Columbia Academic Commons (Columbia University)
- Funders
- National Institutes of Health (5r01ai077562-14)
- National Institute of Allergy and Infectious Diseases (R01-AI077562, 5R01AI077562)
- National Institute of Environmental Health Sciences (DP1ES022578)
- National Center for Chronic Disease Prevention and Health Promotion (8DP1ES022578)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Keywords
- bacterial adaptation, loss-of-function mutations, null mutations, metabolic reprogramming, nutrient limitation, transposon mutagenesis, adaptive evolution, gene regulatory networks, bacterial metabolism, environmental stress tolerance
- MeSH terms
- Adaptation, Physiological, Bacteria, DNA Transposable Elements, Environment, Food, Mutation, Selection, Genetic, Directed Molecular Evolution
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