Network-assisted investigation of virulence and antibiotic-resistance systems in Pseudomonas aeruginosa

Sohyun Hwang, Chan Yeong Kim, Sun Gou Ji, Junhyeok Go, Hanhae Kim, Sunmo Yang, Hye Jin Kim, Ara Cho, Sang Sun Yoon, Insuk Lee

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Pseudomonas aeruginosa is a Gram-negative bacterium of clinical significance. Although the genome of PAO1, a prototype strain of P. aeruginosa, has been extensively studied, approximately one-third of the functional genome remains unknown. With the emergence of antibiotic-resistant strains of P. aeruginosa, there is an urgent need to develop novel antibiotic and anti-virulence strategies, which may be facilitated by an approach that explores P. aeruginosa gene function in systems-level models. Here, we present a genome-wide functional network of P. aeruginosa genes, PseudomonasNet, which covers 98% of the coding genome, and a companion web server to generate functional hypotheses using various network-search algorithms. We demonstrate that PseudomonasNet-assisted predictions can effectively identify novel genes involved in virulence and antibiotic resistance. Moreover, an antibiotic-resistance network based on PseudomonasNet reveals that P. aeruginosa has common modular genetic organisations that confer increased or decreased resistance to diverse antibiotics, which accounts for the pervasiveness of cross-resistance across multiple drugs. The same network also suggests that P. aeruginosa has developed mechanism of trade-off in resistance across drugs by altering genetic interactions. Taken together, these results clearly demonstrate the usefulness of a genome-scale functional network to investigate pathogenic systems in P. aeruginosa.

Original languageEnglish
Article number26223
JournalScientific reports
Volume6
DOIs
Publication statusPublished - 2016 May 19

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Microbial Drug Resistance
Pseudomonas aeruginosa
Virulence
Genome
Anti-Bacterial Agents
Genes
Multiple Drug Resistance
Gram-Negative Bacteria
Drug Resistance

All Science Journal Classification (ASJC) codes

  • General

Cite this

Hwang, Sohyun ; Kim, Chan Yeong ; Ji, Sun Gou ; Go, Junhyeok ; Kim, Hanhae ; Yang, Sunmo ; Kim, Hye Jin ; Cho, Ara ; Yoon, Sang Sun ; Lee, Insuk. / Network-assisted investigation of virulence and antibiotic-resistance systems in Pseudomonas aeruginosa. In: Scientific reports. 2016 ; Vol. 6.
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Network-assisted investigation of virulence and antibiotic-resistance systems in Pseudomonas aeruginosa. / Hwang, Sohyun; Kim, Chan Yeong; Ji, Sun Gou; Go, Junhyeok; Kim, Hanhae; Yang, Sunmo; Kim, Hye Jin; Cho, Ara; Yoon, Sang Sun; Lee, Insuk.

In: Scientific reports, Vol. 6, 26223, 19.05.2016.

Research output: Contribution to journalArticle

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