EVOLUTIONARY REVERSALS OF ANTIBIOTIC RESISTANCE IN EXPERIMENTAL POPULATIONS OF PSEUDOMONAS AERUGINOSA

被引:24
作者
Gifford, Danna R. [1 ]
MacLean, R. Craig [1 ]
机构
[1] Univ Oxford, Dept Zool, Oxford OX1 2JD, England
基金
加拿大自然科学与工程研究理事会;
关键词
Compensatory evolution; evolvability; genetic drift; probability of fixation; rifampicin; BENEFICIAL MUTATIONS; ESCHERICHIA-COLI; BIOLOGICAL COST; COMPENSATORY EVOLUTION; EVOLVABILITY; SELECTION; PERSISTENCE; ADAPTATION; MECHANISMS; BACTERIA;
D O I
10.1111/evo.12158
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Antibiotic resistance mutations are accompanied by a fitness cost, and two mechanisms allow bacteria to adapt to this cost once antibiotic use is halted. First, it is possible for resistance to revert; second, it is possible for bacteria to adapt to the cost of resistance by compensatory mutations. Unfortunately, reversion to antibiotic sensitivity is rare, but the underlying factors that prevent reversion remain obscure. Here, we directly study the evolutionary dynamics of reversion by experimentally mimicking reversion mutationssensitivesin populations of rifampicin-resistant Pseudomonas aeruginosa. We show that, in our populations, most sensitives are lost due to genetic drift when they are rare. However, clonal interference from lineages carrying compensatory mutations causes a dramatic increase in the time to fixation of sensitives that escape genetic drift, and mutations surpassing the sensitives' fitness are capable of driving transiently common sensitive lineages to extinction. Crucially, we show that the constraints on reversion arising from clonal interference are determined by the potential for compensatory adaptation of the resistant population. Although the cost of resistance provides the incentive for reversion, our study demonstrates that both the cost of resistance and the intrinsic evolvability of resistant populations interact to determine the rate and likelihood of reversion.
引用
收藏
页码:2973 / 2981
页数:9
相关论文
共 50 条
  • [1] EPISTASIS BUFFERS THE FITNESS EFFECTS OF RIFAMPICIN- RESISTANCE MUTATIONS IN PSEUDOMONAS AERUGINOSA
    Hall, Alex R.
    MacLean, R. Craig
    EVOLUTION, 2011, 65 (08) : 2370 - 2379
  • [2] The many antibiotic resistance and tolerance strategies of Pseudomonas aeruginosa
    Sindeldecker, Devin
    Stoodley, Paul
    BIOFILM, 2021, 3
  • [3] Exposure to Mutagenic Disinfection Byproducts Leads to Increase of Antibiotic Resistance in Pseudomonas aeruginosa
    Lv, Lu
    Jiang, Tao
    Zhang, Shenghua
    Yu, Xin
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2014, 48 (14) : 8188 - 8195
  • [4] Evolutionary rescue in populations of Pseudomonas fluorescens across an antibiotic gradient
    Ramsayer, Johan
    Kaltz, Oliver
    Hochberg, Michael E.
    EVOLUTIONARY APPLICATIONS, 2013, 6 (04): : 608 - 616
  • [5] Eco- evolutionary dynamics of experimental Pseudomonas aeruginosa populations under oxidative stress
    Fu, Taoran
    Gifford, Danna R.
    Knight, Christopher G.
    Brockhurst, Michael A.
    MICROBIOLOGY-SGM, 2023, 169 (11):
  • [6] Evolutionary convergence in experimental Pseudomonas populations
    Lind, Peter A.
    Farr, Andrew D.
    Rainey, Paul B.
    ISME JOURNAL, 2017, 11 (03) : 589 - 600
  • [7] Antibiotic resistance profiles of Pseudomonas aeruginosa isolated from various Greek aquatic environments
    Olga, Pappa
    Apostolos, Vantarakis
    Alexis, Galanis
    George, Vantarakis
    Athena, Mavridou
    FEMS MICROBIOLOGY ECOLOGY, 2016, 92 (05)
  • [8] Persistence of antibiotic resistance in bacterial populations
    Andersson, Dan I.
    Hughes, Diarmaid
    FEMS MICROBIOLOGY REVIEWS, 2011, 35 (05) : 901 - 911
  • [9] Evolution of Antibiotic Resistance in Biofilm and Planktonic Pseudomonas aeruginosa Populations Exposed to Subinhibitory Levels of Ciprofloxacin
    Ahmed, Marwa N.
    Porse, Andreas
    Sommer, Morten Otto Alexander
    Hoiby, Niels
    Ciofu, Oana
    ANTIMICROBIAL AGENTS AND CHEMOTHERAPY, 2018, 62 (08)
  • [10] Effects of exogenous glucose on Pseudomonas aeruginosa biofilm formation and antibiotic resistance
    She, Pengfei
    Wang, Yanle
    Liu, Yiqing
    Tan, Fang
    Chen, Lihua
    Luo, Zhen
    Wu, Yong
    MICROBIOLOGYOPEN, 2019, 8 (12):