Alison Butler

Microbial competition for trace metals shapes their communities and interactions with humans and plants. Many bacteria scavenge trace metals with metallophores, small molecules that chelate environmental metal ions. Metallophore production may be predicted by genome mining, where genomes are scanned for homologs of known biosynthetic gene clusters (BGCs). However, accurately detecting non-ribosomal peptide (NRP) metallophore biosynthesis requires expert manual inspection, stymieing large-scale investigations. Here, we introduce automated identification of NRP metallophore BGCs through a comprehensive algorithm, implemented in antiSMASH, that detects chelator biosynthesis genes with 97% precision and 78% recall against manual curation. We showcase the utility of the detection algorithm by experimentally characterizing metallophores from several taxa. High-throughput NRP metallophore BGC detection enabled metallophore detection across 69,929 genomes spanning the bacterial kingdom. We predict that 25% of all bacterial non-ribosomal peptide synthetases encode metallophore production and that significant chemical diversity remains undiscovered. A reconstructed evolutionary history of NRP metallophores supports that some chelating groups may predate the Great Oxygenation Event. The inclusion of NRP metallophore detection in antiSMASH will aid non-expert researchers and continue to facilitate large-scale investigations into metallophore biology.

Microbial competition for trace metals shapes their communities and interactions with humans and plants. Many bacteria scavenge trace metals with metallophores, small molecules that chelate environmental metal ions. Metallophore production may be predicted by genome mining, where genomes are scanned for homologs of known biosynthetic gene clusters (BGCs). However, accurately detecting non-ribosomal peptide (NRP) metallophore biosynthesis requires expert manual inspection, stymieing large-scale investigations. Here, we introduce automated identification of NRP metallophore BGCs through a comprehensive algorithm, implemented in antiSMASH, that detects chelator biosynthesis genes with 97% precision and 78% recall against manual curation. We showcase the utility of the detection algorithm by experimentally characterizing metallophores from several taxa. High-throughput NRP metallophore BGC detection enabled metallophore detection across 69,929 genomes spanning the bacterial kingdom. We predict that 25% of all bacterial non-ribosomal peptide synthetases encode metallophore production and that significant chemical diversity remains undiscovered. A reconstructed evolutionary history of NRP metallophores supports that some chelating groups may predate the Great Oxygenation Event. The inclusion of NRP metallophore detection in antiSMASH will aid non-expert researchers and continue to facilitate large-scale investigations into metallophore biology.

Yersinia ruckeri produces the tri-catechol siderophore ruckerbactin, Rb, yet its periplasmic binding protein YiuA has unprecedented selectivity for the 1 : 2 Fe( iii ) complex of the mono-catechol siderophore, Fe( iii )–(Rb _MC ) ₂ .

To overcome iron starvation, microorganisms often produce siderophores─chelators with high affinity and selectivity for Fe(III). The recent discovery of the siderophore gramibactin garnered significant interest, as it added the C-diazeniumdiolate as a new Fe(III)-binding group in siderophores. Gramibactin is a mixed ligand siderophore, comprised of two graminine residues harboring the diazeniumdiolate donors and a β-hydroxy-aspartate donor. Diazeniumdiolate siderophores have so far evaded crystallographic characterization and few structures of synthetic diazeniumdiolate complexes are reported. To address the gap in structural information, the complexes K[M(III)-gramibactin] (M = Fe and Ga) were prepared, crystallized and their structures solved by X-ray diffraction (XRD). The four Fe-O bond lengths in the two diazeniumdiolates are quite similar, ranging from 1.978 Å to 2.059 Å, indicating an equal contribution in bonding. In contrast, the differing Fe-O bond lengths in β-hydroxy-aspartate reflect the relative donor strengths of the carboxylate (1.997 Å) and alkoxide (1.902 Å) groups. Gramibactin coordinates Fe(III) in a Δ-configured distorted octahedral geometry. The diamagnetic nature of Ga(III) is often leveraged in NMR studies to infer the solution structure of the corresponding Fe(III)-siderophores, which are assumed to be identical. The structural similarity of Ga(III)- and Fe(III)-gramibactin is striking and represents the first crystallographic verification of the assumed isostructural relationship between a Ga(III)- and an Fe(III)-siderophore. By providing concrete evidence, this study promotes Ga(III) as a reliable proxy for Fe(III) in siderophore complexes, with implications for solution structure determination of siderophores and design of Ga(III)-siderophore-based theranostics.

C-diazeniumdiolate siderophores are a small class of photoactive bacterial Fe(III) chelators. Driven by genome mining, we discovered a new C-type diazeniumdiolate siderophore, pandorachelin, produced by the rhizospheric bacterium, Pandoraea norimbergensis DSM 11628. The biosynthetic gene cluster encoding the production of pandorachelin is conserved across several Pandoraea species. Pandoraea spp. are environmentally widespread and are increasingly prevalent clinical pathogens, spurring new interest in their metabolites. UV irradiation photolytically cleaves the N-N bonds within the diazeniumdiolate-containing graminine constituents of pandorachelin. With EPR spin trapping, we directly detect nitric oxide released from the two C-diazeniumdiolate ligands of pandorachelin upon UV irradiation. Additionally, we show that nitric oxide can react with the intermediates during the photoreaction to reconstruct the diazeniumdiolate groups via exchange of the distal nitric oxide (NO) and thereby recover Fe(III)-binding capacity. The photochemistry of this class of siderophores points to a broader biological role, both in their propensity to release the biological signaling molecule, nitric oxide, and in their ability to undergo photoinduced NO exchange.

Yersinia pestis, the pathogen causing plague, requires iron to grow. Y. pestis employs several uptake pathways for iron, including the siderophore yersiniabactin, as well as hemin and inorganic iron. The Y. pestis iron assimilation repertoire further harbors the uncharacterized YiuRABC pathway, presumed to transport an unidentified Fe(III)-siderophore(s). Through intrinsic fluorescence quenching of the periplasmic binding protein YiuA, we discovered that YiuA displays high affinity toward Fe(III) complexes of the hydrolysis products of enterobactin, Fe(III)-[di(DHB-^LSer)] and Fe(III)-[DHB-^LSer]₂, with K_d values of 27.6 ± 4.2 nM and 28.2 ± 6.9 nM, respectively, as well as the bis-catechol siderophore butanochelin, with K_d 0.76 ± 0.17 nM. By comparison, YiuA has a much weaker affinity for intact Fe(III)-enterobactin, K_d 444.7 ± 20.6 nM. Electronic circular dichroism spectroscopy reveals YiuA has a strong preference for binding Λ configured Fe(III)-siderophores, which can be achieved with the Fe(III) bis-catechol complexes but not Fe(III)-enterobactin.

Microbial competition for trace metals shapes their communities and interactions with humans and plants. Many bacteria scavenge trace metals with metallophores, small molecules that chelate environmental metal ions. Metallophore production may be predicted by genome mining, where genomes are scanned for homologs of known biosynthetic gene clusters (BGCs). However, accurately detecting non-ribosomal peptide (NRP) metallophore biosynthesis requires expert manual inspection, stymieing large-scale investigations. Here, we introduce automated identification of NRP metallophore BGCs through a comprehensive algorithm, implemented in antiSMASH, that detects chelator biosynthesis genes with 97% precision and 78% recall against manual curation. We showcase the utility of the detection algorithm by experimentally characterizing metallophores from several taxa. High-throughput NRP metallophore BGC detection enabled metallophore detection across 69,929 genomes spanning the bacterial kingdom. We predict that 25% of all bacterial non-ribosomal peptide synthetases encode metallophore production and that significant chemical diversity remains undiscovered. A reconstructed evolutionary history of NRP metallophores supports that some chelating groups may predate the Great Oxygenation Event. The inclusion of NRP metallophore detection in antiSMASH will aid non-expert researchers and continue to facilitate large-scale investigations into metallophore biology.