The devil is in the details—Host disease and co‐infections are associated with zoonotic pathogen carriage in Norway rats (Rattus norvegicus)

Traditionally, zoonotic pathogen ecology studies in wildlife have focused on the interplay among hosts, their demographic characteristics and their pathogens. But pathogen ecology is also influenced by factors that traverse the hierarchical scale of biological organization, ranging from within‐host factors at the molecular, cellular and organ levels, all the way to the host population within a larger environment. The influence of host disease and co‐infections on zoonotic pathogen carriage in hosts is important because these factors may be key to a more holistic understanding of pathogen ecology in wildlife hosts, which are a major source of emerging infectious diseases in humans. Using wild Norway rats (Rattus norvegicus) as a model species, the purpose of this study was to investigate how host disease and co‐infections impact the carriage of zoonotic pathogens. Following a systematic trap and removal study, we tested the rats for the presence of two potentially zoonotic bacterial pathogens (Bartonella tribocorum and Leptospira interrogans) and assessed them for host disease not attributable to these bacteria (i.e., nematode parasites, and macroscopic and microscopic lesions). We fitted multilevel multivariable logistic regression models with pathogen status as the outcome, lesions and parasites as predictor variables and city block as a random effect. Rats had significantly increased odds of being infected with B. tribocorum if they had a concurrent nematode infection in one or more organ systems. Rats with bite wounds, any macroscopic lesion, cardiomyopathy or tracheitis had significantly increased odds of being infected with L. interrogans. These results suggest that host disease may have an important role in the ecology and epidemiology of rat‐associated zoonotic pathogens. Our multiscale approach to assessing complex intrahost factors in relation to zoonotic pathogen carriage may be applicable to future studies in rats and other wildlife hosts.     

Use of Best Management Practices and Pasture and Soil Quality on Maryland Horse Farms

Agricultural operations, including horse farms, can contribute nonpoint source (NPS) pollution to surface water. The use of best management practices (BMPs) is the most effective way to prevent the movement of pollutants to surface water from nonpoint source pollution. Previous mailed survey studies have assessed the use of BMPs at the county and state level, but a visual assessment of horse farms is necessary to validate survey results. An observational field study was conducted to assess BMP use and soil and pasture quality and to create a model to predict soil erosion on Maryland horse farms. Fifty-one farms were selected based on stocking density (acres per horse [ac horse^-1]), farm use, and presence of water on property. All farms were visited from September through November 2009. In each pasture with grazing horses, the correct use of BMPs was assessed, grass height and vegetative cover were measured, and composite soil samples were collected. Less than half of the 18 assessed BMPs were being used by participants. Although most participants maintained the recommended vegetative cover and grass height, soil erosion was a major problem in pastures. Most farms had optimum soil nutrient concentrations (Ca, K, and P), excessive Mg values, and basic soil pH. Vegetative cover and grass height measurements were positively correlated with stocking density (r = 0.345, P < .0001; and r = 0.291, P < .0001, respectively). Farm use was the only variable that predicted soil erosion on farms (P = .006). Farms used for pleasure were least likely to have soil erosion, whereas farms used for breeding were more likely to have soil erosion (P = .0058). Despite the low-to-moderate adoption of BMPs, the maintenance of recommended vegetative cover and grass height as well as optimum values of soil nutrients indicated participating Maryland horse farms have a low potential for nutrient movement and NPS pollution.