Literature DB >> 25865653

Escherichia coli populations in unpredictably fluctuating environments evolve to face novel stresses through enhanced efflux activity.

S M Karve1, S Daniel1, Y D Chavhan1, A Anand1,2, S S Kharola1, S Dey1.   

Abstract

There is considerable understanding about how laboratory populations respond to predictable (constant or deteriorating environment) selection for single environmental variables such as temperature or pH. However, such insights may not apply when selection environments comprise multiple variables that fluctuate unpredictably, as is common in nature. To address this issue, we grew replicate laboratory populations of Escherichia coli in nutrient broth whose pH and concentrations of salt (NaCl) and hydrogen peroxide (H2 O2 ) were randomly changed daily. After ~170 generations, the fitness of the selected populations had not increased in any of the three selection environments. However, these selected populations had significantly greater fitness in four novel environments which have no known fitness-correlation with tolerance to pH, NaCl or H2 O2 . Interestingly, contrary to expectations, hypermutators did not evolve. Instead, the selected populations evolved an increased ability for energy-dependent efflux activity that might enable them to throw out toxins, including antibiotics, from the cell at a faster rate. This provides an alternate mechanism for how evolvability can evolve in bacteria and potentially lead to broad-spectrum antibiotic resistance, even in the absence of prior antibiotic exposure. Given that environmental variability is increasing in nature, this might have serious consequences for public health.
© 2015 European Society For Evolutionary Biology. Journal of Evolutionary Biology © 2015 European Society For Evolutionary Biology.

Entities:  

Keywords:  antibiotic resistance; cross-protection; evolvability; experimental evolution

Mesh:

Substances:

Year:  2015        PMID: 25865653     DOI: 10.1111/jeb.12640

Source DB:  PubMed          Journal:  J Evol Biol        ISSN: 1010-061X            Impact factor:   2.411


  10 in total

1.  Environmental stability affects phenotypic evolution in a globally distributed marine picoplankton.

Authors:  C-Elisa Schaum; Björn Rost; Sinéad Collins
Journal:  ISME J       Date:  2015-06-30       Impact factor: 10.302

2.  Laboratory Evolution to Alternating Substrate Environments Yields Distinct Phenotypic and Genetic Adaptive Strategies.

Authors:  Troy E Sandberg; Colton J Lloyd; Bernhard O Palsson; Adam M Feist
Journal:  Appl Environ Microbiol       Date:  2017-06-16       Impact factor: 4.792

3.  Adaptation Through Lifestyle Switching Sculpts the Fitness Landscape of Evolving Populations: Implications for the Selection of Drug-Resistant Bacteria at Low Drug Pressures.

Authors:  Nishad Matange; Sushmitha Hegde; Swapnil Bodkhe
Journal:  Genetics       Date:  2019-01-22       Impact factor: 4.562

Review 4.  Experimental Design, Population Dynamics, and Diversity in Microbial Experimental Evolution.

Authors:  Bram Van den Bergh; Toon Swings; Maarten Fauvart; Jan Michiels
Journal:  Microbiol Mol Biol Rev       Date:  2018-07-25       Impact factor: 11.056

5.  Environmental fluctuations do not select for increased variation or population-based resistance in Escherichia coli.

Authors:  Shraddha Madhav Karve; Kanishka Tiwary; S Selveshwari; Sutirth Dey
Journal:  J Biosci       Date:  2016-03       Impact factor: 1.826

6.  Larger bacterial populations evolve heavier fitness trade-offs and undergo greater ecological specialization.

Authors:  Yashraj Chavhan; Sarthak Malusare; Sutirth Dey
Journal:  Heredity (Edinb)       Date:  2020-03-18       Impact factor: 3.821

Review 7.  Fluctuating selection and global change: a synthesis and review on disentangling the roles of climate amplitude, predictability and novelty.

Authors:  M C Bitter; J M Wong; H G Dam; S C Donelan; C D Kenkel; L M Komoroske; K J Nickols; E B Rivest; S Salinas; S C Burgess; K E Lotterhos
Journal:  Proc Biol Sci       Date:  2021-08-25       Impact factor: 5.530

8.  How successful are mutants in multiplayer games with fluctuating environments? Sojourn times, fixation and optimal switching.

Authors:  Joseph W Baron; Tobias Galla
Journal:  R Soc Open Sci       Date:  2018-03-21       Impact factor: 2.963

9.  Multiple Novel Traits without Immediate Benefits Originate in Bacteria Evolving on Single Antibiotics.

Authors:  Shraddha Karve; Andreas Wagner
Journal:  Mol Biol Evol       Date:  2022-01-07       Impact factor: 16.240

10.  Environmental complexity is more important than mutation in driving the evolution of latent novel traits in E. coli.

Authors:  Shraddha Karve; Andreas Wagner
Journal:  Nat Commun       Date:  2022-10-06       Impact factor: 17.694

  10 in total

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