SYNOPSIS Antimicrobial polypeptides including lysozymes (Ly) have membrane perturbing activity and are well documented effector molecules of innate immunity. In cystic fibrosis, a hereditary disease with frequent lung infection with Pseudomonas aeruginosa, the free fatty acid docosahexaenoic acid (DA), but not oleic acid (OA), is decreased and DA supplementation has been shown to improve the clinical condition in these patients. We hypothesized that DA may alone, or in conjunction with Ly, exert antibacterial action against P. aeruginosa. We found that DA and Ly synergistically inhibit the metabolic activity of P. aeruginosa, in contrast to OA. Electron microscopy and equilibrium dialysis suggest that DA accumulates in the bacterial membrane in the presence of Ly. Surface plasmon resonance with live bacteria and differential scanning calorimetry studies with bacterial model membranes reveal that, initially, DA facilitates lysozyme incorporation into the membrane, which in turn allows influx of more DA leading to bacterial cell death. Our study elucidates a molecular basis for the synergistic action of free fatty acids and antimicrobial polypeptides, which may be dysfunctional in cystic fibrosis.

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Sulfate contamination has been identified as a serious environmental issue in the Everglades ecosystem. However, it has received less attention compared to P enrichment. Sulfate enters the Arthur R. Marshall Loxahatchee National Wildlife Refuge (Refuge), a remnant of the historic Everglades, in pumped stormwater discharges with a mean concentration of approximately 50 mg L(-1), and marsh interior concentrations at times fall below a detection limit of 0.1 mg L(-1). In this research, we developed a sulfate mass balance model to examine the response of surface water sulfate in the Refuge to changes in sulfate loading and hydrological processes. Meanwhile, sulfate removal resulting from microbial sulfate reduction in the underlying sediments of the marsh was estimated from the apparent settling coefficients incorporated in the model. The model has been calibrated and validated using long-term monitoring data (1995-2006). Statistical analysis indicated that our model is capable of capturing the spatial and temporal variations in surface water sulfate concentrations across the Refuge. This modeling work emphasizes the fact that sulfate from canal discharge is impacting even the interior portions of the Refuge, supporting work by other researchers. In addition, model simulations suggest a condition of sulfate in excess of requirement for microbial sulfate reduction in the Refuge.