Iron-meditated fungal starvation by lupine rhizosphere-associated and extremotolerant Streptomyces sp. S29 desferrioxamine production

Open Access via the RSC Open Access Agreement. Acknowledgements SAJ would like to thank the University of Aberdeen for funding doctoral studies through and Elphinstone Scholarship. DL would like to thank the Agencia Nacional de Investigación y Desarrollo (ANID) for funding doctoral studies through ‘Beca nacional de doctorado’ Scholarship. ED would like to thank the Ministry of Higher Education and Scientific Research – Sudan, together with the University of Khartoum, for joint funding of master's studies. We would like to thank to Valeria Razmilic and Jean Franco Castro for their valuable advice and work in the setup of Lupine Streptomyces culture collection. We would also like to thank the support team at GNPS and Justin J. J. van der Hooft at MS2LDA for help with data deposition and for help at any stage of running the relevant workflows.Peer reviewedPublisher PD

Cutting the Gordian knot : early and complete amino acid sequence confirmation of class II lasso peptides by HCD fragmentation

SAJ would like to thank the University of Aberdeen for an Elphinstone Scholarship. CC-A thanks CONICYT PFCHA/DOCTORADO BECAS CHILE/2016 (#21160585) fellowship and CONICYT Basal Centre Grant for the Centre for Biotechnology and Bioengineering, CeBiB (FB0001). JFC also thanks CONICYT for a National PhD Scholarship (#21110356) and a Visiting Student Scholarship.Peer reviewedPostprin

Advancements in capturing and mining mass spectrometry data are transforming natural products research

Covering: 2016 up to 2021 Mass spectrometry (MS) is an essential technology in natural products research with MS fragmentation (MS/MS) approaches becoming a key tool. Recent advancements in MS yield dense metabolomics datasets which have been, conventionally, used by individual labs for individual projects; however, a shift is brewing. The movement towards open MS data (and other structural characterization data) and accessible data mining tools is emerging in natural products research. Over the past 5 years, this movement has rapidly expanded and evolved with no slowdown in sight; the capabilities of today vastly exceed those of 5 years ago. Herein, we address the analysis of individual datasets, a situation we are calling the '2021 status quo', and the emergent framework to systematically capture sample information (metadata) and perform repository-scale analyses. We evaluate public data deposition, discuss the challenges of working in the repository scale, highlight the challenges of metadata capture and provide illustrative examples of the power of utilizing repository data and the tools that enable it. We conclude that the advancements in MS data collection must be met with advancements in how we utilize data; therefore, we argue that open data and data mining is the next evolution in obtaining the maximum potential in natural products research

Microbial engineering of new Streptomyces sp. from extreme environments for novel antibiotics, anticancer and antifungal Drugs

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Phoenicin Switch: Discovering the Trigger for Radical Phoenicin Production in Multiple Wild-Type Penicillium Species

Society faces the challenge of storing energy from sustainable sources in inexpensive, nontoxic ways that do not deplete the limited resources of Earth. In this regard, quinone redox flow batteries have been proposed as ideal; however, industrially used quinones have traditionally been synthesized from fossil fuels. Therefore, we investigated the production of phoenicin (compound 1), a deep violet dibenzoquinone produced by certain Penicillium species, for its industrial potential. Strains grew as surface cultures on customized growth media with varying production parameters, and phoenicin production was assessed by ultrahigh-performance liquid chromatography–diode array detection–quadrupole time of flight mass spectrometry (UHPLC-DAD-QTOF MS) analysis of the supernatant. Phoenicin production was reliant on the sucrose concentration, and by varying that, we produced 4.94 ± 0.56 g/L phoenicin on a Czapek yeast autolysate broth (CY)-based medium with Penicillium phoeniceum (CBS 249.32) as the production host, with 71.91% phoenicin purity in the resulting medium broth. Unexpectedly, metabolites corresponding to phoenicin polymers were tentatively identified in P. phoeniceum, of which the dimer (diphoenicin) was a major chromatographic peak. An MS-based metabolomics study was conducted on P. atrosanguineum using feature-based molecular networking and multivariate statistics, and it was found that few or no known secondary metabolites besides phoenicin were secreted into the growth medium. Finally, the effects of sucrose, sodium nitrate, and yeast extract (YE) in the growth medium were investigated in a 2(3) full factorial design. The results indicated an optimal sucrose concentration of 92.87 g/L on CY when NaNO(3) and YE were fixed at 3 and 5 g/L, respectively. IMPORTANCE This work was undertaken to explore the production of fungal quinones in wild-type strains for use as electrolytes in redox flow batteries. As society converts energy production in a more sustainable direction, it becomes increasingly more important to store sustainable energy in smart ways. Conventional battery technologies imply the use of highly toxic, expensive, and rare metals; thus, quinone redox flow batteries have been proposed to be a desirable alternative. In this study, we explored the possibility of producing the fungal quinone phoenicin in Penicillium spp. by changing the growth parameters. The production of other secondary metabolites and known mycotoxins was also investigated in a metabolomics study. It was shown that phoenicin production was activated by optimizing the carbon concentration of the medium, resulting in high titers and purity of the single metabolite