Dataset Information

Next-Generation Antimicrobial Discovery through Bacterial Self-Screening of Surface-Displayed Peptide Libraries [HiSeq]

ABSTRACT: Peptides have great potential to combat antibiotic resistance. While many platforms can screen peptides for their ability to bind to target cells, there are virtually no platforms that directly assess the functionality of peptides. This limitation is exacerbated when identifying antimicrobial peptides, since the phenotype, death, selects against itself, and has caused a scientific bottleneck confining research to only a few naturally occurring classes of antimicrobial peptides. We have used this seeming dissonance to develop Surface Localized Antimicrobial displaY (SLAY); a platform that allows screening of unlimited numbers of peptides of any length, composition, and structure in a single tube for antimicrobial activity. Using SLAY, we screened ~800,000 random peptide sequences for antimicrobial function and identified thousands of active sequences doubling the number of known antimicrobial sequences. SLAY hits present with different potential mechanisms of peptide action and access to areas of antimicrobial physicochemical space beyond what nature has evolved.

ORGANISM(S): Escherichia coli str. K-12 substr. W3110

PROVIDER: GSE94529 | GEO | 2018/01/03

SECONDARY ACCESSION(S): PRJNA371428

REPOSITORIES: GEO

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Project description:Understanding how pathogens respond to antimicrobial peptides, and how this compares to currently available antibiotics, is crucial to optimizing antibiotic therapy. Staphylococcus aureus has several known resistance mechanisms against human cationic antimicrobial peptides (CAMPs). We aim to determine how S. aureus responds to sheep and frog CAMPs, and whether this response is associated with resistance. Gene expression changes in Staphylococcus aureus Newman cells exposed to linear CAMPs were analyzed by DNA microarray. Three antimicrobial peptides were used in the analysis, two of them are derived from frog, temporin L and dermaseptin K4-S4(1-16), one is from sheep, ovispirin-1. The peptides induced the VraSR cell-wall regulon and several other genes which are also upregulated in cells treated with vancomycin and other cell wall-active antibiotics. In addition to this similarity, three genes/operons were particularly strongly induced by the peptides: vraDE, SA0205 and SAS016, encoding an ABC transporter, a putative membrane-bound lysostaphin-like peptidase and a small functionally unknown protein, respectively. Ovispirin-1 and dermaseptin K4-S4(1-16), which disrupt lipid bilayers by the carpet mechanism, were strong inducers of the vraDE operon. We show that high level induction by ovispirin-1 was dependent on the amide modification of the peptide C-terminus. This suggests that the amide group has a crucial role in the activation of the Aps sensory system, the regulator of vraDE. In contrast, temporin L, which disrupts lipid bilayers by forming pores, was clearly a weaker inducer of vraDE despite the C-terminal amide modification. Sensitivity testing with CAMPs and other antimicrobials suggested that VraDE is a transporter dedicated to resist bacitracin. We also showed that SA0205 belongs to the VraSR regulon. Furthermore, VraSR was shown to be important for resistance against a wide range of cell wall-active antibiotics and other antimicrobial agents including the amide-modified ovispirin-1, bacitracin, teicoplanin, cefotaxime and 10 other β-lactam antibiotics, chlorpromazine, thioridazine and EGTA. The effects of the three different antimicrobial peptides on gene expression of S. aureus Newman were studied by using whole genome oligo-DNA microarrays. Bacteria were grown in BHI medium to the early exponential phase (OD600=0.6) and antimicrobial peptides were added at sublethal concentrations. Samples were taken for RNA isolations after treating the cultures with the peptides for 10 minutes. Control cultures without peptide additions were treated similarly and in parallel.

Dataset Information

Next-Generation Antimicrobial Discovery through Bacterial Self-Screening of Surface-Displayed Peptide Libraries [HiSeq]

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