Search bioRxiv⌕ Search

bioRxiv · 10.64898/2026.02.06.704361

Large-Scale Chemical-Genetic Interaction Profiling Identifies a Novel Small-Molecule Inhibitor of Mycobacterium tuberculosis Polyketide Synthase 13

Abstract

PROSPECT (PRimary screening Of Strains to Prioritize Expanded Chemistry and Targets) is an antimicrobial discovery platform based on chemical-genetic interaction (CGI) profiling of compounds against a pool of Mycobacterium tuberculosis (Mtb) hypomorphs, each depleted of an essential gene. From prior screening data, we have now identified a novel N-oxolan-3-yl pyrazole carboxamide inhibitor (BRD1554) that had increased, selective activity against strains depleted of polyketide synthase 13 (Pks13), an essential enzyme in mycolic acid synthesis, and Rv2581c, an uncharacterized protein similar to glyoxylase II enzymes. Perturbagen CLass (PCL) analysis, a reference-based approach to mechanism of action (MOA) assignment from PROSPECT, predicted Pks13, a polyketide synthase with five catalytic domains responsible for the terminal condensation step in mycolic acid biosynthesis, was the likely target, potentially implicating the thioesterase domain. We synthesized a more active analogue while assigning the absolute stereochemistry of the active diastereomer, resulting in 1554-06-3R,4S with an MIC90 of 3.0 {micro}M against Mtb H37Rv. Exposure to 1554-06 led to the upregulation of the pks13 operon along with the iniBAC operon and other genes linked to mycolic acid synthesis. Isolation of mutants resistant to 1554-06 revealed single nucleotide polymorphisms in the thioesterase domain of Pks13. Finally, we biochemically confirmed that 1554-06 inhibits the activity of recombinant Pks13 thioesterase domain, with computational docking of 1554-06 steroisomers consistent with the stereospecific activity seen in whole cell assays. We found unique chemical genetic interactions between inhibitors of the different Pks13 domains and different detoxifying enzymes of Mtb, thus revealing novel gene-gene interactions. These results highlight how PROSPECT can not only immediately reveal, with domain-level resolution, the MOA of new whole-cell active chemical inhibitors of Mtb, allowing the integration of biological insight into compound triage and accelerated early development, but can also illuminate genetic interactions linked to those mechanisms that could inform predictions of synergy for antitubercular drug development. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=74 SRC="FIGDIR/small/704361v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@9a4f38org.highwire.dtl.DTLVardef@c70cd2org.highwire.dtl.DTLVardef@1ac2e1org.highwire.dtl.DTLVardef@f06df0_HPS_FORMAT_FIGEXP M_FIG C_FIG

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Gomez, J. E., Solomon, M. Y., Hunt, D. K., Geddes, E. J., Bond, A. N., Liu, C., Ulrich, R. J., Chaudhary, P. V., Hung, D. T.. 2026-02-07. Large-Scale Chemical-Genetic Interaction Profiling Identifies a Novel Small-Molecule Inhibitor of Mycobacterium tuberculosis Polyketide Synthase 13. https://doi.org/10.64898/2026.02.06.704361

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Reverse Transcription Loop-Mediated Isothermal Amplification Combined with Lateral Flow Assay (RT-LAMP-LFA) for Rapid Detection of the 2026 Bundibugyo Virus (BDBV) Outbreak Strain

Making accurate diagnosis is a critical first step in patient management and control for emerging and re-emerging disease outbreaks. Bundibugyo virus (BDBV) is a filovirus that causes Ebola disease, and the 2026 outbreak highlights the need for rapid diagnostic approaches that can be deployed in settings with limited laboratory infrastructure. Here, we developed a reverse transcription loop-mediated isothermal amplification-lateral flow assay (RT-LAMP-LFA) for rapid detection of the 2026 BDBV outbreak strain. LAMP primers were designed based on the genome sequence of the 2026 outbreak strain, and the conservation of the primer binding sites among all available 2026 outbreak genomes was confirmed in silico. LAMP primers were evaluated for analytical specificity and sensitivity using in vitro-transcribed RNA (ivtRNA) from BDBV and other filoviruses, as well as RNA derived from arboviruses and mammalian cells. Amplification products were detected using a Chromatography-Printed Array Strip (C-PAS) lateral flow platform. The newly designed primers specifically detected the presence of BDBV RNA without nonspecific amplification of the other viral or cellular RNA samples tested. Consistent amplification was observed down to 103 copies per reaction. In addition, BDBV viral RNA was successfully amplified, and the amplification products were detected using C-PAS, with the total workflow being completed within 25 min. These findings demonstrate the analytical specificity and sensitivity of the developed RT-LAMP-LFA assay and its compatibility with rapid visual lateral flow detection, supporting its potential application as a point-of-care approach for BDBV detection.

microbiology↗

Divergent methane production and microbial community responses to carbon enrichment in freshwater wetland sediments

Methane (CH4) accumulation in wetland sediments reflects interactions among organic matter, sediment chemistry, and microbial communities. We combined depth-resolved field characterization across four wetland habitats in northern Israel with complementary incubations to examine methane accumulation and responses to labile-carbon enrichment. Sediment cores were characterized using Rock-Eval analysis, porewater chemistry, oxygen profiling at three sites, and mcrA amplicon sequencing. High CH4 concentrations occurred under contrasting conditions: Ein Nimfit (EN) contained approximately 12% total organic carbon and reached 2.1 mM CH4, whereas Ein Afek site EA2 contained approximately 5% carbon and accumulated 0.7-1.7 mM CH4. Both showed sulfate depletion, but EN exhibited pronounced sulfide accumulation, whereas EA2 showed greater dissolved iron and nutrient enrichment. Their classified methanogenic assemblages also differed. EA1 remained methane poor despite increasing carbon content with depth, while EA3 combined low carbon content and CH4 accumulation with detectable methanogens and lower methanogenic diversity. In a 36-day bottle experiments using sediments from two of the four wetland habitats, sucrose-amended EA3 exhibited a transient maximum of 18.8 mmol collected CH4 kg-1 wet sediment during Days 22-29, whereas EN reached its highest collected amount during Days 29-36. Methane proportions increased before the large output increase in EA3 but remained comparatively stable and high in EN. Soluble chemical oxygen demand trajectories and microbial community changes also differed. These findings identify distinct biogeochemical settings supporting methane accumulation and demonstrate methanogenic potential in low-CH4 sediment, emphasizing the complementary information provided by field profiles, microbial characterization, and exploratory enrichment experiments.

microbiology↗

The absence of microbiome in germ-free mice exacerbates the pathogenicity of mouse-adapted SARS-CoV-2 MA10

Germ-free mice, which are devoid of microbiota, provide a powerful system to define the contribution of the microbiome to host responses during infection. Severe COVID-19 outcomes are associated with multiple comorbidities that are themselves characterized by microbiome dysbiosis; however, the causal role of the microbiota in SARS-CoV-2 pathogenesis remains poorly understood. Here, we use germ-free mouse models to evaluate the impact of the microbiome on disease severity following infection with mouse-adapted SARS-CoV-2 MA10. Comparison with conventionally housed mice revealed that the absence of the microbiome markedly exacerbates SARS-CoV-2-induced disease in both C57BL/6 and Swiss Webster backgrounds. Germ-free mice exhibited greater weight loss, impaired lung function, worsened pulmonary pathology, and pronounced alterations in circulating cytokine and chemokine profiles compared with conventional controls. These findings show that resident microbiota limit SARS-CoV-2 pathogenicity and establish germ-free COVID-19 models as a powerful platform to identify protective microbial taxa and microbiota-based interventions to reduce severe disease.

microbiology↗