The Suf Iron-Sulfur Cluster Biosynthetic System Is Essential in Staphylococcus aureus, and Decreased Suf Function Results in Global Metabolic Defects and Reduced Survival in Human Neutrophils.

Staphylococcus aureus remains a causative agent for morbidity and mortality worldwide. This is in part a result of antimicrobial resistance, highlighting the need to uncover novel antibiotic targets and to discover new therapeutic agents. In the present study, we explored the possibility that iron-sulfur (Fe-S) cluster synthesis is a viable antimicrobial target. RNA interference studies established that Suf (sulfur mobilization)-dependent Fe-S cluster synthesis is essential in S. aureus We found that sufCDSUB were cotranscribed and that suf transcription was positively influenced by sigma factor B. We characterized an S. aureus strain that contained a transposon inserted in the intergenic space between sufC and sufD (sufD*), resulting in decreased transcription of sufSUB Consistent with the transcriptional data, the sufD* strain had multiple phenotypes associated with impaired Fe-S protein maturation. They included decreased activities of Fe-S cluster-dependent enzymes, decreased growth in media lacking metabolites that require Fe-S proteins for synthesis, and decreased flux through the tricarboxylic acid (TCA) cycle. Decreased Fe-S cluster synthesis resulted in sensitivity to reactive oxygen and reactive nitrogen species, as well as increased DNA damage and impaired DNA repair. The sufD* strain also exhibited perturbed intracellular nonchelated Fe pools. Importantly, the sufD* strain did not exhibit altered exoprotein production or altered biofilm formation, but it was attenuated for survival upon challenge by human polymorphonuclear leukocytes. The results presented are consistent with the hypothesis that Fe-S cluster synthesis is a viable target for antimicrobial development.

Staphylococcus aureus SufT: an essential iron-sulphur cluster assembly factor in cells experiencing a high-demand for lipoic acid.

Staphylococcus aureus SufT is composed solely of the domain of unknown function 59 (DUF59) and has a role in the maturation of iron-sulphur (Fe-S) proteins. We report that SufT is essential for S. aureus when growth is heavily reliant upon lipoamide-utilizing enzymes, but dispensable when this reliance is decreased. LipA requires Fe-S clusters for lipoic acid (LA) synthesis and a ΔsufT strain had phenotypes suggestive of decreased LA production and decreased activities of lipoamide-requiring enzymes. Fermentative growth, a null clpC allele, or decreased flux through the TCA cycle diminished the demand for LA and rendered SufT non-essential. Abundance of the Fe-S cluster carrier Nfu was increased in a ΔclpC strain and a null clpC allele was unable to suppress the LA requirement of a ΔsufT Δnfu strain. Over-expression of nfu suppressed the LA requirement of the ΔsufT strain. We propose a model wherein SufT, and by extension the DUF59, is essential for the maturation of holo-LipA in S. aureus cells experiencing a high demand for lipoamide-dependent enzymes. The findings presented suggest that the demand for products of Fe-S enzymes is a factor governing the usage of one Fe-S cluster assembly factor over another in the maturation of apo-proteins.

The genetic architecture in Saccharomyces cerevisiae that contributes to variation in drug response to the antifungals benomyl and ketoconazole.

The genetic basis of variation in drug response was investigated in individual Saccharomyces cerevisiae strains that exhibited different susceptibility to two antifungal agents: benomyl and ketoconazole. Following dose-response screening of 25 strains, 4 were selected on the basis of resistance or sensitivity relative to the standard laboratory strain BY. UWOPS87-2421 and L-1374 were respectively resistant and sensitive to benomyl; DBVPG6044 and Y12 were respectively resistant and sensitive to ketoconazole. We used advanced intercross lines and next generation sequencing-bulk segregant analysis to characterise the quantitative trait loci (QTL) underpinning drug responses after drug selection. Drug response was controlled by multiple QTL, ranging from a minimum of 5 to a maximum of 60 loci, almost all of which were not the primary drug target. For each drug, the resistant and the sensitive strain exhibited a number of shared loci, but also had strain-specific QTL. In our analysis, it was possible to estimate genetic effect of QTL, and a number of those shared between resistant and sensitive strains exhibited variable effect on the response phenotype. Thus, drug responses arise as a result of different genetic architectures, depending on the genetic background of the individual strain in question.

Study of Fe-S Cluster Proteins in Methanococcus maripaludis , a Model Archaeal Organism.

Iron-sulfur (Fe-S) clusters are among the oldest and most versatile cofactors present in all domains of life. Many bacterial and eukaryotic Fe-S proteins have been well-characterized, whereas the archaeal ones are less studied. Fe-S proteins are particularly abundant and play essential roles in methanogenic archaea. Methanococcus maripaludis is a model methanogen with available genetic tools. Here, we describe the techniques for anaerobic cultivation of M. maripaludis with formate, liposome-mediated transformation, expression and anoxic affinity purification of Fe-S proteins, Fe-S cluster reconstitution, and analysis of Fe-S proteins by UV-visible absorption spectroscopy.

Erratum: Publisher Correction: Genetic interaction networks mediate individual statin drug response in Saccharomyces cerevisiae.

[This corrects the article DOI: 10.1038/s41540-019-0112-5.].

Genetic interaction networks mediate individual statin drug response in Saccharomyces cerevisiae.

Eukaryotic genetic interaction networks (GINs) are extensively described in the Saccharomyces cerevisiae S288C model using deletion libraries, yet being limited to this one genetic background, not informative to individual drug response. Here we created deletion libraries in three additional genetic backgrounds. Statin response was probed with five queries against four genetic backgrounds. The 20 resultant GINs representing drug-gene and gene-gene interactions were not conserved by functional enrichment, hierarchical clustering, and topology-based community partitioning. An unfolded protein response (UPR) community exhibited genetic background variation including different betweenness genes that were network bottlenecks, and we experimentally validated this UPR community via measurements of the UPR that were differentially activated and regulated in statin-resistant strains relative to the statin-sensitive S288C background. These network analyses by topology and function provide insight into the complexity of drug response influenced by genetic background.

Secretory pathway genes assessed by high-throughput microscopy and synthetic genetic array analysis.

We developed a procedure for automated confocal microscopy to image the effect of the non-essential yeast gene deletion set on the localisation of the plasma membrane GFP-labelled protein Mrh1p-GFP. To achieve this it was necessary to devise an expression system expressing Redstar2 RFP-fluorescence specifically in the nucleus, mCherry RFP at a lower intensity in the cytoplasm and Mrh1p-GFP in the plasma membrane. This fluorescence labelling scheme utilising specifically designed image analysis scripts allowed automated segmentation of the cells into sub-regions comprising nuclei, cytoplasm and cell-surface. From this high-throughput high content screening approach we were able to determine that gene deletions including emc1Δ, emc2Δ, emc3Δ, emc4Δ, emc5Δ and emc6Δ, caused intracellular mislocalisation at the ER of a plasma membrane protein Mrh1p-GFP. CPY processing patterns were unaffected in these mutants and collectively our data suggest a transport role for the EMC genes within the early secretory pathway. HAC1 is central to the unfolded protein response (UPR) and in its absence, i.e. the absence of UPR, emc1Δ-, emc3Δ-, emc4Δ-, emc5Δ-hac1Δ double mutants were specifically hypersensitive to ER-stress (tunicamycin) lending credence to the usefulness of the high content microscope screening for discovery of functional effects of single mutants.