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Emerging infectious diseases threaten a wide diversity of animals, and important questions remain concerning disease emergence in socially structured populations. We developed a spatially explicit simulation model to investigate whether—and under what conditions—disease-related mortality can impact rates of pathogen spread in populations of polygynous groups. Specifically, we investigated whether pathogen-mediated dispersal (PMD) can occur when females disperse after the resident male dies from disease, thus carrying infections to new groups. We also examined the effects of incubation period and virulence, host mortality and rates of background dispersal, and we used the model to investigate the spread of the virus responsible for Ebola hemorrhagic fever, which currently is devastating African ape populations. Output was analyzed using regression trees, which enable exploration of hierarchical and non-linear relationships. Analyses revealed that the incidence of disease in single-male (polygynous) groups was significantly greater for those groups containing an average of more than six females, while the total number of infected hosts in the population was most sensitive to the number of females per group. Thus, as expected, PMD occurs in polygynous groups and its effects increase as harem size (the number of females) increases. Simulation output further indicated that population-level effects of Ebola are likely to differ among multi-male–multi-female chimpanzees and polygynous gorillas, with larger overall numbers of chimpanzees infected, but more gorilla groups becoming infected due to increased dispersal when the resident male dies. Collectively, our results highlight the importance of social system on the spread of disease in wild mammals.  相似文献   
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Growing cultures of an autolysis-defective pneumococcal mutant were exposed to [3H]benzylpenicillin at various multiples of the minimal inhibitory concentration and incubated until the growth of the cultures was halted. During the process of growth inhibition, we determined the rates and degree of acylation of the five penicillin-binding proteins (PBPs) and the rates of peptidoglycan incorporation, protein synthesis, and turbidity increase. The time required for the onset of the inhibitory effects of benzylpenicillin was inversely related to the concentration of the antibiotic, and inhibition of peptidoglycan incorporation always preceded inhibition of protein synthesis and growth. When cultures first started to show the onset of growth inhibition, the same characteristic fraction of each PBP was in the acylated form in all cases, irrespective of the antibiotic concentration. Apparently, saturation of one or more PBPs with the antibiotic beyond these threshold levels is needed to bring about interference with normal peptidoglycan production and cellular growth. Although it was not possible to correlate the inhibition of cell wall synthesis or cell growth with the degree of acylation (percentage saturation) of any single PBP, there was a correlation between the amount of peptidoglycan synthesized and the actual amount of PBP 2b that was not acylated. In cultures exposed to benzylpenicillin concentrations greater than eight times the minimal inhibitory concentration, the rates of peptidoglycan incorporation underwent a rapid decline when bacterial growth stopped. However, in cultures exposed to lower concentrations of benzylpenicillin (one to six times the minimal inhibitory concentration) peptidoglycan synthesis continued at constant rate for prolonged periods, after the turbidity had ceased to increase. We conclude that inhibition of bacterial growth does not require a complete inhibition or even a major decline in the rate of peptidoglycan incorporation. Rather, inhibition of growth must be caused by an as yet undefined process that stops cell division when the rate of incorporation of peptidoglycan (or synthesis of protein) falls below a critical value.  相似文献   
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