Klebsiella pneumoniae subsp. pneumoniae–bacteriophage combination from the caecal effluent of a healthy woman

A recent study characterizing bacteriophage populations within human caecal effluent demonstrated the presence of numerous Podoviridae, Siphoviridae and Myoviridae within this material (Hoyles et al., 2014, Res Microbiol 165, 803–812). Further to this work, anaerobic bacteria were isolated on fastidious anaerobe agar from the caecal effluent of a healthy 31-year-old woman. Ten colonies were selected at random, streaked to purity and screened against the remaining caecal effluent (filter-sterilized, 0.45 μm pore size) in an attempt to isolate lytic bacteriophages. Bacteriophages within the effluent [2×105 ± 2.65×103 (n=3) pfu/ml] were active against five of the isolates, all identified by 16S rRNA gene sequence analysis as Klebsiella pneumoniae. One of the five isolates, L4-FAA5, was characterized further and found to be K. pneumoniae subsp. pneumoniae capsule type K2 rmpA+, and was used to propagate a bacteriophage (which we named KLPN1) to purity. Bacteriophage KLPN1 was a member of the Siphoviridae with a rosette-like tail tip and exhibited depolymerase activity, demonstrated by the formation of plaque-surrounding haloes that increased in size over the course of incubation. When screened against a panel of 21 clinical strains representing unknown K. pneumoniae subsp. pneumoniae capsule types and types K1, K2, K5, K20, K54 and K57, KLPN1 infected only K2 strains, but did not exhibit depolymerase activity against these. Whole-genome sequence analysis of KLPN1 showed the bacteriophage to have a genome of 49,037 bp (50.53 GC mol%) comprising 73 predicted ORFs, of which 22 encoded genes associated with structure, host recognition, packaging, DNA replication and cell lysis. The host recognition-associated gene was a potential depolymerase. This is the first report of the isolation of a bacterium–bacteriophage combination from the human caecum, and only the third member of the Siphoviridae known to infect K. pneumoniae subsp. pneumoniae.

Development of novel antibacterial active, HaCaT biocompatible and biodegradable CA-g-P(3HB)-EC biocomposites with caffeic acid as a functional entity

We have developed novel composites by grafting caffeic acid (CA) onto the P(3HB)-EC based material and laccase from Trametes versicolor was used for grafting purposes. The resulting composites were designated as CA-g-P(3HB)-EC i.e., P(3HB)-EC (control), 5CA-g-P(3HB)-EC, 10CA-g-P(3HB)-EC, 15CA-g-P(3HB)-EC and 20CA-g-P(3HB)-EC. An FT-IR (Fourier-transform infrared spectroscopy) was used to examine the functional and elemental groups of the control and laccase-assisted graft composites. Evidently, 15CA-g-P(3HB)-EC composite exhibited resilient antibacterial activity against Gram-positive and Gram-negative bacterial strains, respectively. Moreover, a significant level of biocompatibility and biodegradability of the CA-g-P(3HB)-EC composites was also achieved with the human keratinocytes-like HaCaT cells and soil burial evaluation, respectively. In conclusion, the newly developed novel composites with multi characteristics could well represent the new wave of biomaterials for medical applications, and more specifically have promising future in the infection free would dressings, burn and/or skin regeneration field due to their sophisticated characteristics.

Accessibility instruments for planning practice: A review of European experiences

Although a large body of literature has been produced on the theoretical definitions and measurements of accessibility, the extent to which such indicators are used in planning practice is less clear. This research explores the gap between theory and application by seeking to understand what the new wave of accessibility instruments (AIs) prepared for spatial and transport planning practice purports to offer the users of AIs. Starting from the question of how urban and transport planners are designing AIs, the article analyzes and describes the AIs developed over the last decade (mainly in Europe), offering a structured overview and a clear categorization of how accessibility measures can be applied. The paper identifies AI characteristics, and considers their usability, based on AI developer perceptions.