Comparison of transcriptional responses and metabolic alterations in three multidrug-resistant model microorganisms, staphylococcus aureus atcc baa-39, escherichia coli atcc baa-196, and acinetobacter baumannii atcc BAA-1790, on Exposure to Iodine-Containing Nano-micelle Drug FS-1
Korotetskiy I.S. Shilov S.V. Kuznetsova T.V. Ilin A.I. Joubert M. Taukobong S. Reva O.N.
March 2021American Society for Microbiology
mSystems
2021#6Issue 2
Iodine is one of the oldest antimicrobial agents. Until now, there have been no reports on acquiring resistance to iodine. Recent studies showed promising results on application of iodine-containing nano-micelles, FS-1, against antibiotic-resistant pathogens as a supplement to antibiotic therapy. The mechanisms of the action, however, remain unclear. The aim of this study was to perform a holistic analysis and comparison of gene regulation in three phylogenetically distant multidrug-resistant reference strains representing pathogens associated with nosocomial infections from the ATCC culture collection: Escherichia coli BAA-196, Staphylococcus aureus BAA-39, and Acinetobacter baumannii BAA-1790. These cultures were treated by a 5-min exposure to sublethal concentrations of the iodine-containing drug FS-1 applied in the late lagging phase and the middle of the logarithmic growth phase. Complete genome sequences of these strains were obtained in the previous studies. Gene regulation was studied by total RNA extraction and Ion Torrent sequencing followed by mapping the RNA reads against the reference genome sequences and statistical processing of read counts using the DESeq2 algorithm. It was found that the treatment of bacteria with FS-1 profoundly affected the expression of many genes involved in the central metabolic pathways; however, alterations of the gene expression profiles were species specific and depended on the growth phase. Disruption of respiratory electron transfer membrane complexes, increased penetrability of bacterial cell walls, and osmotic and oxidative stresses leading to DNA damage were the major factors influencing the treated bacteria.
Acinetobacter baumannii , Antibiotic resistance , Escherichia coli , Iodine , Nano-micelle , Staphylococcus aureus , Transcriptomics
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Scientific Center for Anti-Infectious Drugs, Almaty, Kazakhstan
Centre for Bioinformatics and Computational Biology, Department of Biochemistry Genetics and Microbiology, University of Pretoria, Pretoria, South Africa
Scientific Center for Anti-Infectious Drugs
Centre for Bioinformatics and Computational Biology
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