Auxiliary interfaces support the evolution of specific toxin-antitoxin pairing.

Toxin-antitoxin (TA) systems are a large family of genes implicated in the regulation of bacterial growth and its arrest in response to attacks. These systems encode nonsecreted toxins and antitoxins that specifically pair, even when present in several paralogous copies per genome. Salmonella enterica serovar Typhimurium contains three paralogous TacAT systems that block bacterial translation. We determined the crystal structures of the three TacAT complexes to understand the structural basis of specific TA neutralization and the evolution of such specific pairing. In the present study, we show that alteration of a discrete structural add-on element on the toxin drives specific recognition by their cognate antitoxin underpinning insulation of the three pairs. Similar to other TA families, the region supporting TA-specific pairing is key to neutralization. Our work reveals that additional TA interfaces beside the main neutralization interface increase the safe space for evolution of pairing specificity.

Antimalarial activity of tetrahydro-ß-carbolines targeting the ATP binding pocket of the Plasmodium falciparum heat shock 90 protein.

A series of tetrahydro-ß-carboline derivatives of a lead compound known to target the heat shock 90 protein of Plasmodium falciparum were synthesized and assayed for both potency against the parasite and toxicity against a human cell line. Using a rationalized structure based design strategy, a new lead compound with a potency two orders of magnitude greater than the original lead compound was found. Additional modeling of this new lead compound suggests multiple avenues to further increase potency against this target, potentially paving the path for a therapeutic with a mode of action different than any current clinical treatment.

FacZ is a GpsB-interacting protein that prevents aberrant division-site placement in Staphylococcus aureus.

Staphylococcus aureus is a Gram-positive pathogen responsible for antibiotic-resistant infections. To identify vulnerabilities in cell envelope biogenesis that may overcome resistance, we enriched for S. aureus transposon mutants with defects in cell surface integrity or cell division by sorting for cells that stain with propidium iodide or have increased light-scattering properties, respectively. Transposon sequencing of the sorted populations identified more than 20 previously uncharacterized factors impacting these processes. Cells inactivated for one of these proteins, factor preventing extra Z-rings (FacZ, SAOUHSC_01855), showed aberrant membrane invaginations and multiple FtsZ cytokinetic rings. These phenotypes were suppressed in mutants lacking the conserved cell-division protein GpsB, which forms an interaction hub bridging envelope biogenesis factors with the cytokinetic ring in S. aureus. FacZ was found to interact directly with GpsB in vitro and in vivo. We therefore propose that FacZ is an envelope biogenesis factor that antagonizes GpsB function to prevent aberrant division events in S. aureus.

Identification of FacZ as a division site placement factor in Staphylococcus aureus.

Staphylococcus aureus is a gram-positive pathogen responsible for life-threatening infections that are difficult to treat due to antibiotic resistance. The identification of new vulnerabilities in essential processes like cell envelope biogenesis represents a promising avenue towards the development of anti-staphylococcal therapies that overcome resistance. To this end, we performed cell sorting-based enrichments for S. aureus mutants with defects in envelope integrity and cell division. We identified many known envelope biogenesis factors as well as a large collection of new factors with roles in this process. Mutants inactivated for one of the hits, the uncharacterized SAOUHSC_01855 protein, displayed aberrant membrane invaginations and multiple FtsZ cytokinetic ring structures. This factor is broadly distributed among Firmicutes, and its inactivation in B. subtilis similarly caused division and membrane defects. We therefore renamed the protein FacZ (Firmicute-associated coordinator of Z-rings). In S. aureus, inactivation of the conserved cell division protein GpsB suppressed the division and morphological defects of facZ mutants. Additionally, FacZ and GpsB were found to interact directly in a purified system. Thus, FacZ is a novel antagonist of GpsB function with a conserved role in controlling division site placement in S. aureus and other Firmicutes.

Allosteric activation of cell wall synthesis during bacterial growth.

The peptidoglycan (PG) cell wall protects bacteria against osmotic lysis and determines cell shape, making this structure a key antibiotic target. Peptidoglycan is a polymer of glycan chains connected by peptide crosslinks, and its synthesis requires precise spatiotemporal coordination between glycan polymerization and crosslinking. However, the molecular mechanism by which these reactions are initiated and coupled is unclear. Here we use single-molecule FRET and cryo-EM to show that an essential PG synthase (RodA-PBP2) responsible for bacterial elongation undergoes dynamic exchange between closed and open states. Structural opening couples the activation of polymerization and crosslinking and is essential in vivo. Given the high conservation of this family of synthases, the opening motion that we uncovered likely represents a conserved regulatory mechanism that controls the activation of PG synthesis during other cellular processes, including cell division.

Efficient C•G-to-G•C base editors developed using CRISPRi screens, target-library analysis, and machine learning.

Programmable C•G-to-G•C base editors (CGBEs) have broad scientific and therapeutic potential, but their editing outcomes have proved difficult to predict and their editing efficiency and product purity are often low. We describe a suite of engineered CGBEs paired with machine learning models to enable efficient, high-purity C•G-to-G•C base editing. We performed a CRISPR interference (CRISPRi) screen targeting DNA repair genes to identify factors that affect C•G-to-G•C editing outcomes and used these insights to develop CGBEs with diverse editing profiles. We characterized ten promising CGBEs on a library of 10,638 genomically integrated target sites in mammalian cells and trained machine learning models that accurately predict the purity and yield of editing outcomes (R = 0.90) using these data. These CGBEs enable correction to the wild-type coding sequence of 546 disease-related transversion single-nucleotide variants (SNVs) with >90% precision (mean 96%) and up to 70% efficiency (mean 14%). Computational prediction of optimal CGBE-single-guide RNA pairs enables high-purity transversion base editing at over fourfold more target sites than achieved using any single CGBE variant.