Dataset Information

Proteomic Investigation of Multiple Methicillin-Resistant Staphylococcus aureus strains with distinct Daptomycin Tolerance and Resistance Phenotypes

ABSTRACT: Several groups have shown that through evolution experiments, tolerance and resistance evolved rapidly under cyclic antibiotic treatment. In other words, intermittent antibiotic exposure performed in a typical adaptive laboratory evolution (ALE) experiments will “train” the bacteria to become tolerant/resistant to the drug. Using this experimental strategy, we performed in vitro laboratory evolution in MRSA using daptomycin, and mine novel daptomycin tolerance and resistance mutants, which were isolated at specific time points during the evolution experiments. Three daptomycin-tolerant isolates with different tolerance level were generated from our laboratory evolution (TOL2 and TOL5 with a mild-tolerance phenotype, and TOL6 with a high-tolerance phenotype). They all bear mutations at different genes, and have no increase in MIC towards daptomycin. Besides, we also isolated three daptomycin-resistant isolates (RES1, RES2, RES3) that have a single point mutation in the same gene, mprF, but at different locations, leading to an increased MIC towards daptomycin. Through proteomics, we uncovered the differential adaptation strategies of these daptomycin tolerant and resistant MRSA strains, and how they respond differently to antibiotics compared to the ancestral wild-type.

INSTRUMENT(S): timsTOF Pro

ORGANISM(S): Staphylococcus Aureus

SUBMITTER: Jordy Evan Sulaiman

LAB HEAD: Henry Lam

PROVIDER: PXD026741 | Pride | 2022-07-14

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 86

Similar Datasets

Project description:Several groups have shown that through evolution experiments, tolerance evolved rapidly under cyclic antibiotic treatment which then promote the emergence of resistance. In other words, intermittent antibiotic exposure will “train” the bacteria to become tolerant to the drug, and then boost the chances for them to become fully resistant. This evolutionary trajectory of evolving tolerance and resistance not only occurs in vitro, but also in clinical patients with MRSA blood infections. Despite the fact that repetitive antibiotic treatment will lead to tolerance and resistance development in bacterial populations, the difference on the evolutionary path between those treated with a single drug and drug combination remains unaddressed. In this study, we monitored the development of tolerance in MRSA by treating them with either daptomycin alone for 2 weeks (Scheme 1), or daptomycin combined with rifampin for two weeks (Scheme 2), in a cyclic manner. In addition, we also investigate another scenario where we treat MRSA cells with daptomycin alone for one week, and subsequently treat them with daptomycin and rifampin combination in the second week (Scheme 3). At the end of the evolution experiment, we observed that the population from Scheme 1 developed tolerance towards daptomycin, the population from Scheme 2 developed both tolerance and resistance towards daptomycin, while the population from Scheme 3 developed tolerance after a week of treatment, but then the tolerance phenotype diminished at the end of the second week due to the drug combination treatment. We subjected them to whole genome sequencing and identified single point mutations that are responsible for the observed phenotype. Through proteomics, we compared the proteome profile of the population evolved from scheme 1 (S1D14), scheme 2 (S2D14) and scheme 3 (S3D14), and we observed that these three populations employ distinct mechanisms to survive antibiotic treatment, suggesting that the treatment strategy for these populations should be tailored depending on the treatment conditions.

			Action	DRS
	RES1D_1.d.zip	Other
	RES1D_1.pep.xml	Pepxml
	RES1D_2.d.zip	Other
	RES1D_2.pep.xml	Pepxml
	RES1D_3.d.zip	Other

Dataset Information

Proteomic Investigation of Multiple Methicillin-Resistant Staphylococcus aureus strains with distinct Daptomycin Tolerance and Resistance Phenotypes

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets