No abstract

Epichloid endophytes are well known symbionts of many cool-season grasses that may alleviate environmental stresses for their hosts. For example, endophytes produce alkaloid compounds that may be toxic to invertebrate or vertebrate herbivores. Achnatherum robustum, commonly called sleepygrass, was aptly named due to the presence of an endophyte that causes toxic effects to livestock and wildlife. Variation in alkaloid production observed in two A. robustum populations located near Weed and Cloudcroft in the Lincoln National Forest, New Mexico, suggests two different endophyte species are present in these populations. Genetic analyses of endophyte-infected samples revealed major differences in the endophyte alkaloid genetic profiles from the two populations, which were supported with chemical analyses. The endophyte present in the Weed population was shown to produce chanoclavine I, paspaline, and terpendoles, so thus resembles the previously described Epichloë funkii. The endophyte present in the Cloudcroft population produces chanoclavineI, ergonovine, lysergic acid amide, and paspaline, and is an undescribed endophyte species. We observed very low survival rates for aphids feeding on plants infected with the Cloudcroft endophyte, while aphid survival was better on endophyte infected plants in the Weed population. This observation led to the hypothesis that the alkaloid ergonovine is responsible for aphid mortality. Direct testing of aphid survival on oat leaves supplemented with ergonovine provided supporting evidence for this hypothesis. The results of this study suggest that alkaloids produced by the Cloudcroft endophyte, specifically ergonovine, have insecticidal properties.

No abstract

This review covers the current and potential use of mass spectrometry-based metabolomics data mining in natural products. Public data, metadata, databases and data analysis tools are critical. The value and success of data mining rely on community participation.

Aromatic prenylation is an important step in the biosynthesis of many natural products and leads to an astonishing diversity of chemical structures. Cyanobactin pathways frequently encode aromatic prenyltransferases that catalyze the prenylation of these macrocyclic and linear peptides. Here we characterized the anacyclamide (acy) biosynthetic gene cluster from Anabaena sp. UHCC-0232. Partial reconstitution of the anacyclamide pathway, heterologous expression and in vitro biochemical characterization of the enzyme demonstrate that the AcyF enzyme encoded in this biosynthetic gene cluster is a Trp N-prenyltransferase. Bioinformatic analysis suggests the monophyletic origin and rapid diversification of the cyanobactin prenyltransferase enzymes and the multiple origins of N-1 Trp prenylation in prenylated natural products. The AcyF enzyme displayed high flexibility towards a range of Trp-containing substrates and represents an interesting new tool for biocatalytic applications.

Even though raw mass spectrometry data is information rich, the vast majority of the data is underutilized. The ability to interrogate these rich datasets is handicapped by the limited capability and flexibility of existing software. We introduce the Mass Spec Query Language (MassQL) that addresses these issues by enabling an expressive set of mass spectrometry patterns to be queried directly from raw data. MassQL is an open-source mass spectrometry query language for flexible and mass spectrometer manufacturer-independent mining of MS data. We envision the flexibility, scalability, and ease of use of MassQL will empower the mass spectrometry community to take fuller advantage of their mass spectrometry data and accelerate discoveries.

Recent developments in genome sequencing combined with bioinformatic analysis have revealed that actinomycetes contain a plethora of unexpected BGCs and thus have the potential to produce many more natural products than previously thought. This reflects the inability to detect the production of these compounds under laboratory conditions, perhaps through the use of inappropriate growth media or the absence of the environmental cues required to elicit expression of the corresponding BGCs. One approach to overcoming this problem is to circumvent the regulatory mechanisms that control expression of the BGC in its natural host by deploying heterologous expression. The generally compact nature of lasso peptide BGCs makes them particularly amenable to this approach, and, in the example given here, analysis revealed a new member of the lasso peptide family of RiPPs. This approach should be readily applicable to other cryptic lasso peptide gene clusters and would also facilitate the design and production of nonnatural variants by changing the sequence encoding the core peptide, as has been achieved with other classes of RiPPs.

A new lasso peptide, huascopeptin, was isolated following genome-mined discovery of a new biosynthetic gene cluster in extremotolerant Streptomyces huasconensis HST28 T from Salar de Huasco, Atacama Desert, Chile. Compound 1 is a thirteenresidue class II lasso peptide containing a novel Gly1-Asp7 macrolactam ring, a three-residue loop, and a three-residue tail, making it the smallest lasso peptide isolated to date. The lasso structure was confirmed using NOE restraint-based molecular dynamics simulations.