Chemical communication of antibiotic resistance by a highly resistant subpopulation of bacterial cells.
Chemical communication of antibiotic resistance by a highly resistant subpopulation of bacterial cells.
复制标题
DOI:
10.1371/journal.pone.0068874
复制
发表时间:
2013
期刊:
影响因子:
3.7
通讯作者:
Valvano MA
中科院分区:
文献类型:
--
作者:
El-Halfawy OM;Valvano MA
The overall antibiotic resistance of a bacterial population results from the combination of a wide range of susceptibilities displayed by subsets of bacterial cells. Bacterial heteroresistance to antibiotics has been documented for several opportunistic Gram-negative bacteria, but the mechanism of heteroresistance is unclear. We use Burkholderia cenocepacia as a model opportunistic bacterium to investigate the implications of heterogeneity in the response to the antimicrobial peptide polymyxin B (PmB) and also other bactericidal antibiotics. Here, we report that B. cenocepacia is heteroresistant to PmB. Population analysis profiling also identified B. cenocepacia subpopulations arising from a seemingly homogenous culture that are resistant to higher levels of polymyxin B than the rest of the cells in the culture, and can protect the more sensitive cells from killing, as well as sensitive bacteria from other species, such as Pseudomonas aeruginosa and Escherichia coli. Communication of resistance depended on upregulation of putrescine synthesis and YceI, a widely conserved low-molecular weight secreted protein. Deletion of genes for the synthesis of putrescine and YceI abrogate protection, while pharmacologic inhibition of putrescine synthesis reduced resistance to polymyxin B. Polyamines and YceI were also required for heteroresistance of B. cenocepacia to various bactericidal antibiotics. We propose that putrescine and YceI resemble "danger" infochemicals whose increased production by a bacterial subpopulation, becoming more resistant to bactericidal antibiotics, communicates higher level of resistance to more sensitive members of the population of the same or different species.
登录
查看更多内容
影响因子:
16
作者:
Kohanski MA;DePristo MA;Collins JJ
通讯作者:
Collins JJ
影响因子:
2.9
作者:
Gill, Sarvajeet Singh;Tuteja, Narendra
通讯作者:
Tuteja, Narendra
影响因子:
3.2
作者:
Loutet, SA;Flannagan, RS;Valvano, MA
通讯作者:
Valvano, MA
影响因子:
4.9
作者:
Kwon, Dong-Hyeon;Lu, Chung-Dar
通讯作者:
Lu, Chung-Dar
影响因子:
2
作者:
Ross, Brian M.;Babay, Slim;Ladouceur, Chelsea
通讯作者:
Ladouceur, Chelsea