Animal mortality

Abstract: Several human and animal Ebola outbreaks have occurred over the past 4 years in Gabon and the Republic of Congo. The human outbreaks consisted of multiple simultaneous epidemics caused by different viral strains, and each epidemic resulted from the handling of a distinct gorilla, chimpanzee, or duiker carcass. These animal populations declined markedly during human Ebola outbreaks, apparently as a result of Ebola infection. Recovered carcasses were infected by a variety of Ebola strains, suggesting that Ebola outbreaks in great apes result from multiple virus introductions from the natural host. Surveillance of animal mortality may help to predict and prevent human Ebola outbreaks.

Abstract: There is increasing concern that multiple drivers of ecological change will interact synergistically to accelerate biodiversity loss. However, the prevalence and magnitude of these interactions remain one of the largest uncertainties in projections of future ecological change. We address this uncertainty by performing a meta-analysis of 112 published factorial experiments that evaluated the impacts of multiple stressors on animal mortality in freshwater, marine and terrestrial communities. We found that, on average, mortalities from the combined action of two stressors were not synergistic and this result was consistent across studies investigating different stressors, study organisms and life-history stages. Furthermore, only one-third of relevant experiments displayed truly synergistic effects, which does not support the prevailing ecological paradigm that synergies are rampant. However, in more than three-quarters of relevant experiments, the outcome of multiple stressor interactions was non-additive (i.e. synergies or antagonisms), suggesting that ecological surprises may be more common than simple additive effects.

Abstract: Toxoplasma gondii strains differ dramatically in virulence despite being genetically very similar. Genetic mapping revealed two closely adjacent quantitative trait loci on parasite chromosome VIIa that control the extreme virulence of the type I lineage. Positional cloning identified the candidate virulence gene ROP18, a highly polymorphic serine-threonine kinase that was secreted into the host cell during parasite invasion. Transfection of the virulent ROP18 allele into a nonpathogenic type III strain increased growth and enhanced mortality by 4 to 5 logs. These attributes of ROP18 required kinase activity, which revealed that secretion of effectors is a major component of parasite virulence.

Abstract: The benefits of nitric oxide synthase (NOS) inhibitors in the treatment of endotoxemia or sepsis presumably arise from inhibition of the type II (inducible) NOS. However, inasmuch as the effect of these inhibitors on NOS function in vivo is rarely assessed, NOS activity was evaluated in rats and mice by measuring changes in plasma nitrite and nitrate concentrations ([NOx]) after administration of lipopolysaccharide (LPS). In both species, [NOx] peaked at 20 hr, returning to base line by 48 to 72 hr. The ED50 values (dose that elicited a 50% inhibition of the LPS-dependent increase in [NOx] 6 hr after LPS administration) for L-NG-monomethylarginine acetate, L-NG-nitroarginine methyl ester and aminoguanidine (administered 3 hr after LPS) were 34, 21 and 19 mg/kg in the rat and 32, 5 and 4 mg/kg in the mouse. These compounds also decreased the survival of LPS-challenged animals, which in the case of L-NG-nitroarginine methyl ester was reversed by L-arginine. Dexamethasone (which prevents the induction of type II NOS) also inhibited the LPS-dependent increase in [NOx] with ED50 values of 0.05 mg/kg (rat) and 1 mg/kg (mouse), but did not lead to decreased survival. Thus, inhibition of the type I (neuronal) or type III (endothelial) NOS, rather than the type II isoform, may be a possible mechanism for the animal mortality. These models provide a simple and reproducible means for assessing the in vivo inhibition of type II NOS by various compounds.

Abstract: A three—component competing—rick model for animal mortality is presented, in which the additive hazards include a new model, dominant during the prematurity period; a constant hazard, dominant during the period of maturity; and the conventional Gompertz hazard, dominant during senescence. A good fit of the model is obtained to survival data for a variety of species, with both laboratory and field data being represented. Interpretation of the model parameters in terms of animal adjustment to hazards is offered. See full-text article at JSTOR