Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT, USA.
Department of Medicine, Section of Infectious Diseases, Yale University School of Medicine, New Haven, CT, USA.
Nat Commun. 2024 Aug 29;15(1):7502. doi: 10.1038/s41467-024-51912-7.
The remarkable capacity of bacteria to adapt in response to selective pressures drives antimicrobial resistance. Pseudomonas aeruginosa illustrates this point, establishing chronic infections during which it evolves to survive antimicrobials and evade host defenses. Many adaptive changes occur on the P. aeruginosa cell surface but methods to identify these are limited. Here we combine phage display with high-throughput DNA sequencing to create a high throughput, multiplexed technology for surveying bacterial cell surfaces, Phage-seq. By applying phage display panning to hundreds of bacterial genotypes and analyzing the dynamics of the phage display selection process, we capture important biological information about cell surfaces. This approach also yields camelid single-domain antibodies that recognize key P. aeruginosa virulence factors on live cells. These antibodies have numerous potential applications in diagnostics and therapeutics. We propose that Phage-seq establishes a powerful paradigm for studying the bacterial cell surface by identifying and profiling many surface features in parallel.
细菌适应选择性压力的惊人能力推动了抗菌药物耐药性的发展。铜绿假单胞菌说明了这一点,它在慢性感染期间进化以耐受抗生素并逃避宿主防御。许多适应性变化发生在铜绿假单胞菌的细胞表面,但识别这些变化的方法有限。在这里,我们将噬菌体展示与高通量 DNA 测序相结合,创建了一种高通量、多重的细菌细胞表面调查技术,即噬菌体测序。通过将噬菌体展示淘选应用于数百种细菌基因型,并分析噬菌体展示选择过程的动态,我们捕捉到了有关细胞表面的重要生物学信息。这种方法还产生了能够识别活细胞上关键铜绿假单胞菌毒力因子的骆驼科单域抗体。这些抗体在诊断和治疗方面具有许多潜在的应用。我们提出,噬菌体测序通过并行识别和分析许多表面特征,为研究细菌细胞表面建立了一个强大的范例。