Genomic analysis and proteomic response of the chromium-resistant and phenanthrene-degrading strain Streptomyces sp. MC1.

AIM: Chemically disparate toxic organic and/or inorganic molecules produced by anthropogenic activities often hinder the bioremediation process. This research was conducted to understand the capacity of Streptomyces sp. MC1 to remove chemically disparate toxics such as Cr(VI) or phenanthrene. METHODS AND RESULTS: Genomic, metabolic modeling and proteomic approaches were used in this study. Our results demonstrated that Streptomyces sp. MC1 has the genetic determinants to remove Cr(VI) or degrade phenanthrene. Proteomics showed that these genetic determinants were expressed. Metabolic versatility of the strain was confirmed by two metabolic models in complex and minimal media. Interestingly, our results also suggested a connection between the degradation of phenanthrene and synthesis of specialized metabolites. CONCLUSIONS: Streptomyces sp. MC1 has the genetic and physiological potential to remove Cr(VI) or degrade phenanthrene SIGNIFICANCE AND IMPACT OF STUDY: The probability of a microorganism to survive in the presence of different contaminants depends on its genetic potential and the ability to express it. The genetic and proteomic profiles obtained for Streptomyces sp. MC1 can be recommended as model and predict if other Streptomyces strains can be used in bioremediation processes. Our work also hypothesized that intermediates of the phenanthrene degradation serve as precursors for the specialized metabolism.

Self-similar conductance patterns in graphene Cantor-like structures.

Graphene has proven to be an ideal system for exotic transport phenomena. In this work, we report another exotic characteristic of the electron transport in graphene. Namely, we show that the linear-regime conductance can present self-similar patterns with well-defined scaling rules, once the graphene sheet is subjected to Cantor-like nanostructuring. As far as we know the mentioned system is one of the few in which a self-similar structure produces self-similar patterns on a physical property. These patterns are analysed quantitatively, by obtaining the scaling rules that underlie them. It is worth noting that the transport properties are an average of the dispersion channels, which makes the existence of scale factors quite surprising. In addition, that self-similarity be manifested in the conductance opens an excellent opportunity to test this fundamental property experimentally.