4.7 Article

Fitness trade-offs explain low levels of persister cells in the opportunistic pathogen Pseudomonas aeruginosa

期刊

MOLECULAR ECOLOGY
卷 24, 期 7, 页码 1572-1583

出版社

WILEY
DOI: 10.1111/mec.13127

关键词

evolutionarily stable strategy; persistence; pleiotropy; Pseudomonas aeruginosa

资金

  1. KU Leuven Research Council [IDO/09/010, DBOF/12/035]
  2. Fund for Scientific Research - Flanders [FWO G.0413.10]
  3. KU Leuven Excellence Center Financing [PF/2010/07]
  4. Interuniversity Attraction Poles Programme
  5. Belgian Science Policy Office
  6. Fund for Scientific Research - Flanders (FWO)
  7. ERC [241426]
  8. HFSP [RGP0050/2013]
  9. VIB
  10. EMBO YIP programme
  11. FWO
  12. IWT

向作者/读者索取更多资源

Microbial populations often contain a fraction of slow-growing persister cells that withstand antibiotics and other stress factors. Current theoretical models predict that persistence levels should reflect a stable state in which the survival advantage of persisters under adverse conditions is balanced with the direct growth cost impaired under favourable growth conditions, caused by the nonreplication of persister cells. Based on this direct growth cost alone, however, it remains challenging to explain the observed low levels of persistence (<<1%) seen in the populations of many species. Here, we present data from the opportunistic human pathogen Pseudomonasaeruginosa that can explain this discrepancy by revealing various previously unknown costs of persistence. In particular, we show that in the absence of antibiotic stress, increased persistence is traded off against a lengthened lag phase as well as a reduced survival ability during stationary phase. We argue that these pleiotropic costs contribute to the very low proportions of persister cells observed among natural P.aeruginosa isolates (3x10(-8)-3x10(-4)) and that they can explain why strains with higher proportions of persister cells lose out very quickly in competition assays under favourable growth conditions, despite a negligible difference in maximal growth rate. We discuss how incorporating these trade-offs could lead to models that can better explain the evolution of persistence in nature and facilitate the rational design of alternative therapeutic strategies for treating infectious diseases.

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