A genomics analysis on sulphur metabolism has been conducted at the level of transcriptomics and metabolomics. The analysis of these data after applying bioinformatic tools is to reveal novel findings. The findings are discussed and the knowledge obtained from comparable analyses on sulphur metabolism and other plant nutrient genomic studies is reviewed. The analysis of the response of the transcriptome and metabolome to sulphur deprivation in the growth medium provides a tool set for the analysis of comparable genomics studies of other nutrients. The goal of this ‘sulphobolomics’ (i.e. sulphur genomics and metabolome analysis) approach, and of other investigations, is to describe in a holistic way the biochemical, molecular, and physiological response of a plant to nutrient starvation, here sulphate, or, more generally, to alterations and imbalances in nutrient availability. Eventually, this analysis will provide a case study for a systems biology approach.

In this new series of Fungal Biodiversity Profiles, the authors describe ten Basidiomycetes, one recombination and nine taxa new to science, using both morphological and molecular data. Descriptions are provided for Craterellus parvogriseus sp. nov. (Cantharellales); for Lactifluus maenanensis sp. nov., Russula albidogrisea sp. nov., R. aureorubra sp. nov., R. aureoviridis sp. nov., R. obscuricolor sp. nov. and R. pauriensis sp. nov. (Russulales), for Xerocomus reticulostipitatus sp. nov. (Boletales) and for Leucocybe houghtonii comb. nov. and Amanita rajendrae sp. nov. (Agaricales).

Sulphur is an essential macronutrient for plant growth and development. Reaching a thorough understanding of the molecular basis for changes in plant metabolism depending on the sulphur-nutritional status at the systems level will advance our basic knowledge and help target future crop improvement. Although the transcriptional responses induced by sulphate starvation have been studied in the past, knowledge of the regulation of sulphur metabolism is still fragmentary. This work focuses on the discovery of candidates for regulatory genes such as transcription factors (TFs) using ‘omics technologies. For this purpose a short term sulphate-starvation / re-supply approach was used. ATH1 microarray studies and metabolite determinations yielded 21 TFs which responded more than 2-fold at the transcriptional level to sulphate starvation. Categorization by response behaviors under sulphate-starvation / re-supply and other nutrient starvations such as nitrate and phosphate allowed determination of whether the TF genes are specific for or common between distinct mineral nutrient depletions. Extending this co-behavior analysis to the whole transcriptome data set enabled prediction of putative downstream genes. Additionally, combinations of transcriptome and metabolome data allowed identification of relationships between TFs and downstream responses, namely, expression changes in biosynthetic genes and subsequent metabolic responses. Effect chains on glucosinolate and polyamine biosynthesis are discussed in detail. The knowledge gained from this study provides a blueprint for an integrated analysis of transcriptomics and metabolomics and application for the identification of uncharacterized genes.

Recent investigations carried out all over the world have disclosed the capacity of a multitude of endophytic fungal species/strains to produce bioactive compounds which are the same or structurally related to those synthesized by their host plants. This intriguing phenomenon has implemented huge research activity aimed at ascertaining the nature of the biological processes underlying this convergence, as well as to characterize the genetic bases of the biosynthetic schemes. Insights on these basic issues may support the biotechnological exploitation of wild strains, and their eventual improvement through genome editing. Aspects concerning the use of next generation sequencing technologies for the comparative elucidation of the biosynthetic pathways operating in endophytic fungi and their host plants are reviewed in this paper in view of applicative perspectives. Our literature search yielded 21 references dealing with at least 26 strains which have been the subject of experimental activities involving massively parallel genome and transcriptome sequencing methods in the last eight years.

Subgenus Perovskia of the extended genus of Salvia comprises several Central Asian medicinal and aromatic species, of which S. yangii and S. abrotanoides are the most widespread. These plants are cultivated in Europe as robust ornamentals, and several cultivars are available. However, their medicinal potential remains underutilized because of limited information about their phytochemical and genetic diversity. Thus, we combined an ultra-high performance liquid chromatography quadrupole time of flight mass spectrometry (UHPLC-QTOF-MS) based metabolomics with DNA barcoding approach based on trnH-psbA and ITS2 barcodes to clarify the relationships between these two taxa. Metabolomic analysis demonstrated that aerial parts are more similar than roots and none of the major compounds stand out as distinct. Sugiol in S. yangii leaves and carnosic acid quinone in S. abrotanoides were mostly responsible for their chemical differentiation, whereas in roots the distinction was supported by the presence of five norditerpenoids in S. yangii and two flavonoids and one norditerpenoid in S. abrotanoides. To verify the metabolomics-based differentiation, we performed DNA authentication that revealed S. yangii and S. abrotanoides to be very closely related but separate species. We demonstrated that DNA barcoding coupled with parallel LC-MS profiling constitutes a powerful tool in identification of taxonomically close Salvia species.