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Antibiotic resistance in Pseudomonas aeruginosa and adaptation to complex dynamic environments.
Microbial Genomics ( IF 4.0 ) Pub Date : 2020-04-29 , DOI: 10.1099/mgen.0.000370
Lea M Sommer 1, 2 , Helle K Johansen 1, 3 , Søren Molin 2
Affiliation  

Antibiotic resistance has become a serious threat to human health (WHO Antibacterial Agents in Clinical Development: an Analysis of the Antibacterial Clinical Development Pipeline, Including Tuberculosis. Geneva: World Health Organization; 2017), and the ability to predict antibiotic resistance from genome sequencing has become a focal point for the medical community. With this genocentric prediction in mind, we were intrigued about two particular findings for a collection of clinical Pseudomonas aeruginosa isolates (Marvig et al. Nature Genetics 2015;47:57-64; Frimodt-Møller et al. Scientific Reports 2018;8:12512; Bartell et al. Nature Communications 2019;10:629): (i) 15 out of 52 genes found to be frequently targeted by adaptive mutations during the initial infection stage of cystic fibrosis airways ('candidate pathoadaptive genes') (Marvig et al. Nature Genetics 2015;47:57-64) were associated with antibiotic resistance (López-Causapé et al. Fronters in Microbiology 2018;9:685; López-Causapé et al. Antimicrobal Agents and Chemotherapy 2018;62:e02583-17); (ii) there was a parallel lack of resistance development and linkage to the genetic changes in these antibiotic-resistance-associated genes (Frimodt-Møller et al. Scientific Reports 2018;8:12512; Bartell et al. Nature Communications 2019;10:629). In this review, we highlight alternative selective forces that potentially enhance the infection success of P. aeruginosa and focus on the linkage to the 15 pathoadaptive antibiotic-resistance-associated genes, thereby showing the problems we may face when using only genomic information to predict and inform about relevant antibiotic treatment.

中文翻译:


铜绿假单胞菌的抗生素耐药性和对复杂动态环境的适应。



抗生素耐药性已成为对人类健康的严重威胁(WHO Antibacterial Agents in Clinical Development: an Analysis of the Antibacterial Clinical Development Pipeline, Include Tuberculosis.Geneva: World Health Organization; 2017),并且通过基因组测序预测抗生素耐药性的能力已成为人们关注的焦点。成为医学界关注的焦点。考虑到这种以基因为中心的预测,我们对临床铜绿假单胞菌分离株的两个特殊发现很感兴趣(Marvig 等人 Nature Genetics 2015;47:57-64; Frimodt-Møller 等人 Scientific Reports 2018;8:12512 ;Bartell 等人,Nature Communications 2019;10:629):(i)在囊性纤维化气道的初始感染阶段,52 个基因中的 15 个被发现经常成为适应性突变的目标(“候选病理适应性基因”)(Marvig 等人) . Nature Genetics 2015;47:57-64) 与抗生素耐药性相关(López-Causapé et al. Fronters in Microbiology 2018;9:685; López-Causapé et al. Antimicrobal Agents and Chemotherapy 2018;62:e02583-17) ; (ii) 这些抗生素耐药相关基因同时缺乏耐药性的发展和与遗传变化的联系(Frimodt-Møller 等人,Scientific Reports 2018;8:12512;Bartell 等人,Nature Communications 2019;10: 629)。在这篇综述中,我们强调了可能提高铜绿假单胞菌感染成功率的替代选择力,并重点关注与 15 个路径适应性抗生素耐药相关基因的联系,从而显示了我们在仅使用基因组信息来预测和预测时可能面临的问题。告知相关抗生素治疗。
更新日期:2020-04-29
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