Reduced Staphylococcus Abundance Characterizes the Lesional Microbiome of Actinic Keratosis Patients after Field-Directed Therapies.

Skin microbiome dysbiosis with a Staphylococcus overabundance is a feature of actinic keratosis (AK) and squamous skin carcinoma (SCC) patients. The impact of lesion-directed treatments for AK lesions such as diclofenac (DIC) and cold atmospheric plasma (CAP) on the lesional microbiome is not established. We studied 321 skin microbiome samples of 59 AK patients treated with DIC 3% gel versus CAP. Microbial DNA from skin swabs taken before start of treatment (week 0), at the end of the treatment period (week 24), and 3 months after end of treatment (week 36) was analyzed after sequencing the V3/V4 region of the 16S rRNA gene. The relative abundance of S. aureus was scrutinized by a tuf gene specific TaqMan PCR assay. The total bacterial load and both, relative and absolute abundance of Staphylococcus genus was reduced upon both therapies at week 24 and 36 compared to week 0. Notably, the lesional microbiome of patients responding to CAP therapy at week 24 was characterized by an increased relative abundance of Corynebacterium genus compared to nonresponders. A higher relative abundance of Staphylococcus aureus at week 36 was a feature of patients classified as nonresponders for both treatments 12 weeks after therapy completion. The reduction of the Staphylococcus abundance after treatment of AK lesions and alterations linked to treatment response encourage further studies for investigation of the role of the skin microbiome for both, the carcinogenesis of epithelial skin cancer and its function as predictive therapeutic biomarker in AK. IMPORTANCE The relevance of the skin microbiome for development of actinic keratosis (AK), its progression into squamous skin cancer, and for field-directed treatment response is unknown. An overabundance of staphylococci characterizes the skin microbiome of AK lesions. In this study, analyses of the lesional microbiome from 321 samples of 59 AK patients treated with diclophenac gel versus cold atmospheric plasma (CAP) revealed a reduced total bacterial load and reduced relative and absolute Staphylococcus genus abundance upon both treatments. A higher relative Corynebacterium abundance was a feature of patients classified as responders at the end of CAP-treatment period (week 24) compared with nonresponders and the Staphylococcus aureus abundance of patients classified as responders 3 months after treatment completion was significantly lower than in nonresponders. The alterations of the skin microbiome upon AK treatment encourage further investigations for establishing its role for carcinogenesis and its function as predictive biomarker in AK.

Networks and Graphs Discovery in Metabolomics Data Analysis and Interpretation.

Both targeted and untargeted mass spectrometry-based metabolomics approaches are used to understand the metabolic processes taking place in various organisms, from prokaryotes, plants, fungi to animals and humans. Untargeted approaches allow to detect as many metabolites as possible at once, identify unexpected metabolic changes, and characterize novel metabolites in biological samples. However, the identification of metabolites and the biological interpretation of such large and complex datasets remain challenging. One approach to address these challenges is considering that metabolites are connected through informative relationships. Such relationships can be formalized as networks, where the nodes correspond to the metabolites or features (when there is no or only partial identification), and edges connect nodes if the corresponding metabolites are related. Several networks can be built from a single dataset (or a list of metabolites), where each network represents different relationships, such as statistical (correlated metabolites), biochemical (known or putative substrates and products of reactions), or chemical (structural similarities, ontological relations). Once these networks are built, they can subsequently be mined using algorithms from network (or graph) theory to gain insights into metabolism. For instance, we can connect metabolites based on prior knowledge on enzymatic reactions, then provide suggestions for potential metabolite identifications, or detect clusters of co-regulated metabolites. In this review, we first aim at settling a nomenclature and formalism to avoid confusion when referring to different networks used in the field of metabolomics. Then, we present the state of the art of network-based methods for mass spectrometry-based metabolomics data analysis, as well as future developments expected in this area. We cover the use of networks applications using biochemical reactions, mass spectrometry features, chemical structural similarities, and correlations between metabolites. We also describe the application of knowledge networks such as metabolic reaction networks. Finally, we discuss the possibility of combining different networks to analyze and interpret them simultaneously.

Modulation of Phosphate Deficiency-Induced Metabolic Changes by Iron Availability in Arabidopsis thaliana.

Concurrent suboptimal supply of several nutrients requires the coordination of nutrient-specific transcriptional, phenotypic, and metabolic changes in plants in order to optimize growth and development in most agricultural and natural ecosystems. Phosphate (Pi) and iron (Fe) deficiency induce overlapping but mostly opposing transcriptional and root growth responses in Arabidopsis thaliana. On the metabolite level, Pi deficiency negatively modulates Fe deficiency-induced coumarin accumulation, which is controlled by Fe as well as Pi deficiency response regulators. Here, we report the impact of Fe availability on seedling growth under Pi limiting conditions and on Pi deficiency-induced accumulation of amino acids and organic acids, which play important roles in Pi use efficiency. Fe deficiency in Pi replete conditions hardly changed growth and metabolite profiles in roots and shoots of Arabidopsis thaliana, but partially rescued growth under conditions of Pi starvation and severely modulated Pi deficiency-induced metabolic adjustments. Analysis of T-DNA insertion lines revealed the concerted coordination of metabolic profiles by regulators of Fe (FIT, bHLH104, BRUTUS, PYE) as well as of Pi (SPX1, PHR1, PHL1, bHLH32) starvation responses. The results show the interdependency of Pi and Fe availability and the interplay between Pi and Fe starvation signaling on the generation of plant metabolite profiles.

Discovery of key regulators of dark gland development and hypericin biosynthesis in St. John's Wort (Hypericum perforatum).

Hypericin is a molecule of high pharmaceutical importance that is synthesized and stored in dark glands (DGs) of St. John's Wort (Hypericum perforatum). Understanding which genes are involved in dark gland development and hypericin biosynthesis is important for the development of new Hypericum extracts that are highly demanded for medical applications. We identified two transcription factors whose expression is strictly synchronized with the differentiation of DGs. We correlated the content of hypericin, pseudohypericin, endocrocin, skyrin glycosides and several flavonoids with gene expression and DG development to obtain a revised model for hypericin biosynthesis. Here, we report for the first time genotypes which are polymorphic for the presence/total absence (G+/G-) of DGs in their placental tissues (PTs). DG development was characterized in PTs using several microscopy techniques. Fourier transform infrared microscopy was established as a novel method to precisely locate polyaromatic compounds, such as hypericin, in plant tissues. In addition, we obtained transcriptome and metabolome profiles of unprecedented resolution in Hypericum. This study addresses for the first time the development of dark glands and identifies genes that constitute strong building blocks for the further elucidation of hypericin synthesis, its manipulation in plants, its engineering in microbial systems and its applications in medical research.

EFFECTOR OF TRANSCRIPTION factors are novel plant-specific regulators associated with genomic DNA methylation in Arabidopsis.

Plant-specific EFFECTORS OF TRANSCRIPTION (ET) are characterised by a variable number of highly conserved ET repeats, which are involved in zinc and DNA binding. In addition, ETs share a GIY-YIG domain, involved in DNA nicking activity. It was hypothesised that ETs might act as epigenetic regulators. Here, methylome, transcriptome and phenotypic analyses were performed to investigate the role of ET factors and their involvement in DNA methylation in Arabidopsis thaliana. Comparative DNA methylation and transcriptome analyses in flowers and seedlings of et mutants revealed ET-specific differentially expressed genes and mostly independently characteristic, ET-specific differentially methylated regions. Loss of ET function results in pleiotropic developmental defects. The accumulation of cyclobutane pyrimidine dimers after ultraviolet stress in et mutants suggests an ET function in DNA repair.

Accumulation of the coumarin scopolin under abiotic stress conditions is mediated by the Arabidopsis thaliana THO/TREX complex.

Secondary metabolites are involved in the plant stress response. Among these are scopolin and its active form scopoletin, which are coumarin derivatives associated with reactive oxygen species scavenging and pathogen defence. Here we show that scopolin accumulation can be induced in the root by osmotic stress and in the leaf by low-temperature stress in Arabidopsis thaliana. A genetic screen for altered scopolin levels in A. thaliana revealed a mutant compromised in scopolin accumulation in response to stress; the lesion was present in a homologue of THO1 coding for a subunit of the THO/TREX complex. The THO/TREX complex contributes to RNA silencing, supposedly by trafficking precursors of small RNAs. Mutants defective in THO, AGO1, SDS3 and RDR6 were impaired with respect to scopolin accumulation in response to stress, suggesting a mechanism based on RNA silencing such as the trans-acting small interfering RNA pathway, which requires THO/TREX function.