Transfer of Conglomeromonas largomobilis subsp largomobilis to the genus Azospirillum as Azopirillum largomobile comb nov, and elevation of Conglomeromonas largomobilis subsp parooensis to the new type species of Conglomeromonas, Conglomeromonas parooensi

Analysis of the 16S rDNA sequence of Conglomeromonas largomobilis subsp. largomobilis supports a phylogenetic relationship with the species of the genus Azospirillum. This confirms results of previous nucleic acid hybridization studies (FALK, E. C., J. L. JOHNSON, V. D. L. BALDANI, J. DOBEREINER, and N. R. KRIEG. 1986. Int. J. Syst. Bacteriol. 36: 80-85). Conglomeromonas largomobilis subsp. largomobilis was most closely related to the species Azospirillim lipoferum and Azospirillum brasilense but sufficiently distant to warrant separate species status. Conglomeromonas largomobilis subsp. parooensis was more distantly related to the existing species of Azospirillum and represents an isolated subline of descent. On the basis of the phylogenetic evidence a prosposal is made to transfer the subspecies Conglom-eromonas largomobilis subsp. largomobilis to the genus Azospirillum as Azospirillum largomobile comb. nov. and to retain the genus Conglomeromonas by elevating the subspecies C. largomobilis subsp. parooensis to the type species of Conglomeromonas as Conglomeromonas parooensis sp. nov.

The application of statistical process control charts to the detection and monitoring of hospital-acquired infections

The monitoring of infection control indicators including hospital-acquired infections is an established part of quality maintenance programmes in many health-care facilities. However, surveillance data use can be frustrated by the infrequent nature of many infections. Traditional methods of analysis often provide delayed identification of increasing infection occurrence, placing patients at preventable risk. The application of Shewhart, Cumulative Sum (CUSUM) and Exponentially Weighted Moving Average (EWMA) statistical process control charts to the monitoring of indicator infections allows continuous real-time assessment. The Shewhart chart will detect large changes, while CUSUM and EWMA methods are more suited to recognition of small to moderate sustained change. When used together, Shewhart and EWMA methods are ideal for monitoring bacteraemia and multiresistant organism rates. Shewhart and CUSUM charts are suitable for surgical infection surveillance.

Advances in distributed parameter approach to the dynamics and control of activated sludge processes for wastewater treatment

This paper presents a review of modelling and control of biological nutrient removal (BNR)-activated sludge processes for wastewater treatment using distributed parameter models described by partial differential equations (PDE). Numerical methods for solution to the BNR-activated sludge process dynamics are reviewed and these include method of lines, global orthogonal collocation and orthogonal collocation on finite elements. Fundamental techniques and conceptual advances of the distributed parameter approach to the dynamics and control of activated sludge processes are briefly described. A critical analysis on the advantages of the distributed parameter approach over the conventional modelling strategy in this paper shows that the activated sludge process is more adequately described by the former and the method is recommended for application to the wastewater industry (c) 2006 Elsevier Ltd. All rights reserved.

Analysis of the Pasteurella multocida outer membrane sub-proteome and its response to the in vivo environment of the natural host

This study describes the identification of outer membrane proteins (OMPs) of the bacterial pathogen Pasteurella multocida and an analysis of how the expression of these proteins changes during infection of the natural host. We analysed the sarcosine-insoluble membrane fractions, which are highly enriched for OMPs, from bacteria grown under a range of conditions. Initially, the OMP-containing fractions were resolved by 2-DE and the proteins identified by MALDI-TOF MS. In addition, the OMP-containing fractions were separated by 1-D SDS-PAGE and protein identifications were made using nano LC MS/MS. Using these two methods a total of 35 proteins was identified from samples obtained from organisms grown in rich culture medium. Six of the proteins were identified only by 2-DE MALDI-TOF MS, whilst 17 proteins were identified only by 1-D LC MS/MS. We then analysed the OMPs from P. multocida which had been isolated from the bloodstream of infected chickens (a natural host) or grown in iron-depleted medium. Three proteins were found to be significantly up-regulated during growth in vivo and one of these (Pm0803) was also up-regulated during growth in iron-depleted medium. After bioinformatic analysis of the protein matches, it was predicted that over one third of the combined OMPs predicted by the bioinformatics sub-cellular localisation tools PSORTB and Proteome Analyst, had been identified during this study. This is the first comprehensive proteomic analysis of the P. multocida outer membrane and the first proteomic analysis of how a bacterial pathogen modifies its outer membrane proteome during infection.