The Impact of Different Antibiotic Regimens on the Emergence of Antimicrobial-Resistant Bacteria

Backgroud: The emergence and ongoing spread of antimicrobial-resistant bacteria is a major public health threat. Infections caused by antimicrobial-resistant bacteria are associated with substantially higher rates of morbidity and mortality compared to infections caused by antimicrobial-susceptible bacteria. The emergence and spread of these bacteria is complex and requires incorporating numerous interrelated factors which clinical studies cannot adequately address. Methods/Principal Findings: A model is created which incorporates several key factors contributing to the emergence and spread of resistant bacteria including the effects of the immune system, acquisition of resistance genes and antimicrobial exposure. The model identifies key strategies which would limit the emergence of antimicrobial-resistant bacterial strains. Specifically, the simulations show that early initiation of antimicrobial therapy and combination therapy with two antibiotics prevents the emergence of resistant bacteria, whereas shorter courses of therapy and sequential administration of antibiotics promote the emergence of resistant strains. Conclusions/Significance: The principal findings suggest that (i) shorter lengths of antibiotic therapy and early interruption of antibiotic therapy provide an advantage for the resistant strains, (ii) combination therapy with two antibiotics prevents the emergence of resistance strains in contrast to sequential antibiotic therapy, and (iii) early initiation of antibiotics is among the most important factors preventing the emergence of resistant strains. These findings provide new insights into strategies aimed at optimizing the administration of antimicrobials for the treatment of infections and the prevention of the emergence of antimicrobial resistance

Conserving open natural pollination safeguards Jatropha oil yield and oil quality

The high oil content and suitable fatty acid composition of the seeds are two arguments to promote Jatropha curcas L. as a promising biodiesel crop. For seed yielding crops as J. curcas, it can be expected that successful pollination is a key process affecting oil yield and oil quality. Field experiments were conducted in Zambia to study the effects of different pollination treatments (autonomous autogamy, open natural, open pollen supplemented, self, and cross-pollination) on seed morphology, seed oil content (g), seed oil concentration (%), and oil fatty acid composition of J. curcas in 2- and 5-year-old plantations. For this experiment, 100 inflorescences per plantation were selected. Autonomous autogamy and self-pollination treatments reduced oil yield with 70 and 29 % respectively, compared to open pollination. Cross- and self-pollinations resulted in longer seeds than open pollination but did not affect oil content and concentration. The oil has high unsaturated fatty acid content (80 %) and is composed of nine fatty acids. Pollination treatments had an effect on fatty acid composition of oil from mature trees (5 years old), but had not for 2-year-old trees. The oleic acid content, a determinant fatty acid component for quality biodiesel production was lower for artificial self-pollination (9 % reduction) compared to open pollination. This research demonstrates that overall oil yield and quality are the highest under natural pollination. This shows the importance of safeguarding the quality and effectiveness of open natural pollination. This can be done by enhancing the presence of insects identified as J. curcas pollinators, particularly those pollinators enhancing cross-pollination.SCOPUS: ar.jSCOPUS: ar.jinfo:eu-repo/semantics/publishe