Phospholipid transverse mobility modifications in plasma membranes of activated platelets: an ESR study.

Spin labeled phospholipid analogs were used to directly study changes in aminophospholipid translocase activity in activated platelets. In thrombin-activated platelets, the translocase activity was slightly stimulated, whereas no vesicle formation or proteolysis of cytoskeletal protein occurred. Ca2+ ionophore A23187-mediated activation produced vesiculation and proteolysis. Additionally, the translocase activity was completely inhibited, probably due to a sharp rise the intracellular Ca2+ concentration, as shown when platelets were activated in the presence of various A23187 and Ca2+ concentrations and by the recovery of the translocase activity when Ca2+ was complexed with EGTA. No translocase activity was found in vesicles. Whereas vesiculation and translocase inhibition can occur independently of proteolysis, this later accentuated the shedding phenomenon.     

Trypanosome ornithine decarboxylase is stable because it lacks sequences found in the carboxyl terminus of the mouse enzyme which target the latter for intracellular degradation

Ornithine decarboxylase (ODC) is a key enzyme in polyamine biosynthesis. Mouse ODC is rapidly degraded in mouse cells, whereas ODC within Trypanosoma brucei, a protozoan parasite infesting cattle, is stable. We have expressed cloned ODC genes of both T. brucei and mouse in ODC-deficient Chinese hamster ovary (CHO) cells. The T. brucei enzyme is stable, whereas the mouse ODC similarly expressed in CHO cells is unstable. This shows that the observed difference in intracellular stability is a property of the ODC protein itself, rather than the cellular environment in which it is expressed. A chimeric ODC composed of the amino terminus of trypanosome and the carboxyl terminus of mouse ODC is rapidly degraded in CHO cells, suggesting that peptide sequences in the mouse ODC carboxyl terminus determine its stability.     

Application of common predictive habitat techniques for post-border weed risk management

Weed risk assessment has become an accepted methodology for examining the likelihood and consequence of a plant species becoming invasive outside of its native range. Weed risk assessment draws upon biological and ecological information to estimate the likelihood and magnitude of the threats posed by introducing non-indigenous plants. In geographical terms, this has traditionally been understood as within a new country following importation of plant material. However, recent risk assessment development has focused more specifically on intracountry risk posed by already-present invasive plants and is referred to as post-border weed risk management. This form of assessment calls for fine-scale predictions of invasive species habitat suitability. This study applies some of the more popular and widely available habitat prediction models that represent a variety of different statistical approaches (linear regression, logistic regression, Bayesian probability, Classification and Regression Trees, Genetic Algorithm for Rule-set Production) to a single invasive plant, the vertebrate-dispersed, fleshy fruited European olive ( Olea europaea L.) in southern Australia. The relationships between the dependant ( O. europaea distribution) and independent (soil and climate) variables are used in the models to produce predictive maps for each model. Accuracy was calculated for each model output as well as a combined surface to examine whether recent calls for ensemble modelling of distributions produces improved predictions. Overall, the combined prediction demonstrated superior accuracy compared to any individual model outputs. The combined outputs can be likened to mapped gradations of predicted habitat suitability. The type of output produced in this study should form a critical component of post-border weed risk management but more importantly, the methodology will add to this important discipline.