Control of Leveillula taurica in tomato by Acremonium alternatum is by induction of resistance, not Hyperparasitism

Spores of the hyperparasite Acremonium alternatum reduced powdery mildew infection by Leveillula taurica on greenhouse tomato. The effect was slightly increased when spores were applied killed, and therefore not due to direct parasitism. The effect was systemic, protecting untreated leaves above the treated ones. Spores killed by heat had more effect than when killed by UV, so the effect was presumably due to induction of host resistance by substances released when cells were heat killed. The size of the effect depended upon leaf age and level of infection. Effects on primary infection and expansion of successful infections appear to be under independent control.

The staphylococcus aureus surface protein IsdA mediates resistance to the innate defenses of human skin

Resistance to human skin innate defenses is crucial for survival and carriage of Staphylococcus aureus, a common cutaneous pathogen and nasal colonizer. Free fatty acids extracted from human skin sebum possess potent antimicrobial activity against S. aureus. The mechanisms by which S. aureus overcomes this host defense during colonization remain unknown. Here, we show that S. aureus IsdA, a surface protein produced in response to the host, decreases bacterial cellular hydrophobicity rendering them resistant to bactericidal human skin fatty acids and peptides. IsdA is required for survival of S. aureus on live human skin. Reciprocally, skin fatty acids prevent the production of virulence determinants and the induction of antibiotic resistance in S. aureus and other Gram-positive pathogens. A purified human skin fatty acid was effective in treating systemic and topical infections of S. aureus suggesting that our natural defense mechanisms can be exploited to combat drug-resistant pathogens.

Changes in oestrogen receptor-alpha and -beta during progression to acquired resistance to tamoxifen and fulvestrant (Faslodex, ICI 182,780) in MCF7 human breast cancer cells

Cell culture models of antioestrogen resistance often involve applying selective pressures of oestrogen deprivation simultaneously with addition of tamoxifen or fulvestrant (Faslodex, ICI 182,780) which makes it difficult to distinguish events in development of antioestrogen resistance from those in loss of response to oestrogen or other components. We describe here time courses of loss of antioestrogen response using either oestrogen-maintained or oestrogen-deprived MCF7 cells in which the only alteration to the culture medium was addition of 10(-6) M tamoxifen or 10(-7) M fulvestrant. In both oestrogen-maintained and oestrogen-deprived models, loss of growth response to tamoxifen was not associated with loss of response to fulvestrant. However, loss of growth response to fulvestrant was associated in both models with concomitant loss of growth response to tamoxifen. Measurement of oestrogen receptor alpha (ER alpha) and oestrogen receptor beta (ER beta) mRNA by real-time RT-PCR together with ER alpha and ER beta protein by Western immunoblotting revealed substantial changes to ER alpha levels but very little alteration to ER beta levels following development of antioestrogen resistance. In oestrogen-maintained cells, tamoxifen resistance was associated with raised levels of ERa mRNA/protein. However by contrast, in oestrogen-deprived MCF7 cells, where oestrogen deprivation alone had already resulted in increased levels of ERa mRNA/protein, long-term tamoxifen exposure now reduced ER alpha levels. Whilst long-term exposure to fulvestrant reduced ERa. mRNA/protein levels in the oestrogen-maintained cells to a level barely detectable by Western immunoblotting and non-functional in inducing gene expression (ERE-LUC reporter or pS2), in oestrogen-deprived cells the reduction was much less substantial and these cells retained an oestrogen-induction of both the ERE-LUC reporter gene and the endogenous pS2 gene which could still be inhibited by antioestrogen. This demonstrates that whilst ER alpha can be abrogated by fulvestrant and increased by tamoxifen in some circumstances, this does not always hold true and mechanisms other than alteration to ER must be involved in the development of antioestrogen resistant growth. (c) 2006 Elsevier Ltd. All rights reserved.

Multiple antibiotic resistance (mar) locus in Salmonella enterica serovar typhimurium DT104

In order to understand the role of the mar locus in Salmonella with regard to multiple antibiotic resistance, cyclohexane resistance, and outer membrane protein F (OmpF) regulation, a marA::gfp reporter mutant was constructed in an antibiotic-sensitive salmonella enterica serovar Typhimurium DT104 background. Salicylate induced marA, whereas a number of antibiotics, disinfect ants, and various growth conditions did not. Increased antibiotic resistance was observed upon salicylate induction, although this was shown to be by both mar-dependent and mar-independent pathways. Cyclohexane resistance, however, was induced by salicylate by a mar-dependent pathway. Complementation studies with a plasmid that constitutively expressed marA confirmed the involvement of map in Salmonella with low-level antibiotic resistance and cyclohexane resistance, although the involvement of mar in down regulation of OmpF was unclear. However, marA overexpression did increase the expression of a ca. 50-kDa protein, but its identity remains to be elucidated Passage of the marA::gfp reporter mutant with increasing levels of tetracycline, a method reported to select for mar mutants in Escherichia coli, led to both multiple-antibiotic and cyclohexane resistance. Collectively, these data indicate that low-level antibiotic resistance, cyclohexane resistance, and modulation of OMPs in Salmonella, as in E. coli, can occur in both a mar-dependent and mar-independent manner.

Time-lapse geophysical investigations over known archaeological features using electrical resistivity imaging and earth resistance

Electrical methods of geophysical survey are known to produce results that are hard to predict at different times of the year, and under differing weather conditions. This is a problem which can lead to misinterpretation of archaeological features under investigation. The dynamic relationship between a ‘natural’ soil matrix and an archaeological feature is a complex one, which greatly affects the success of the feature’s detection when using active electrical methods of geophysical survey. This study has monitored the gradual variation of measured resistivity over a selection of study areas. By targeting difficult to find, and often ‘missing’ electrical anomalies of known archaeological features, this study has increased the understanding of both the detection and interpretation capabilities of such geophysical surveys. A 16 month time-lapse study over 4 archaeological features has taken place to investigate the aforementioned detection problem across different soils and environments. In addition to the commonly used Twin-Probe earth resistance survey, electrical resistivity imaging (ERI) and quadrature electro-magnetic induction (EMI) were also utilised to explore the problem. Statistical analyses have provided a novel interpretation, which has yielded new insights into how the detection of archaeological features is influenced by the relationship between the target feature and the surrounding ‘natural’ soils. The study has highlighted both the complexity and previous misconceptions around the predictability of the electrical methods. The analysis has confirmed that each site provides an individual and nuanced situation, the variation clearly relating to the composition of the soils (particularly pore size) and the local weather history. The wide range of reasons behind survey success at each specific study site has been revealed. The outcomes have shown that a simplistic model of seasonality is not universally applicable to the electrical detection of archaeological features. This has led to the development of a method for quantifying survey success, enabling a deeper understanding of the unique way in which each site is affected by the interaction of local environmental and geological conditions.