Actinomyces bowdenii ulcerative keratitis in a dog

A 5‐year‐old spayed female diabetic mixed‐breed dog underwent phacoemulsification and intraocular lens implantation to correct bilateral hypermature cataracts. Two months postsurgery, the patient presented with ulcerative keratitis and multifocal stromal abscessation OD, which was controlled, but never resolved, with topical fluoroquinolone therapy. The patient re‐presented 2 months later with a new, raised, white gritty corneal opacity associated with hyperemia, chemosis, and blepharospasm OD. Cytology of the right cornea revealed filamentous bacteria, suggestive of Actinomyces spp. Actinomyces bowdenii was subsequently isolated in pure culture and identified via 16s rDNA sequencing. Actinomyces bowdenii has never before been described as a cause of ocular infection. An immunosuppressed corneal environment likely contributed to this opportunistic Actinomycosis. The infection was not controlled with fluoroquinolone therapy, and the isolate, in vitro, was resistant to three fluoroquinolones (ciprofloxacin, ofloxacin, and levofloxacin), which also has not been previously reported for this species of Actinomyces. A superficial keratectomy with conjunctival graft was employed to successfully manage the infection.     

In search of a variance estimator for systematic sampling

Seven variance estimators to be used under systematic sampling are evaluated in a simulation study with 270 artificial spatial populations with different levels and structure of autocorrelation. In settings without an auxiliary variable a proposed new spatial resampling estimator RHO is recommended. In setting with an auxiliary variable, an estimator based on post-stratification (PST), and one with a correction for spatial autocorrelation (DOR), generated estimates with less bias than the SRS estimator in the majority of studied settings. Only in populations with either a near zero autocorrelation at the interval of sampling, or a very strong correlation between the target and the auxiliary variable did the otherwise conservative SRS estimator perform as well as the alternatives.     

Real-time PCR-based prevalence study, infection follow-up and molecular characterization of canine hemotropic mycoplasmas

Hemotropic mycoplasmas (hemoplasmas) have been reported in several mammalian species including dogs. Infections may lead to hemolytic anemia, but investigations in the dog had been hampered by the lack of adequate diagnostic methods. Only recently sensitive PCR-based assays were reported for the two canine hemoplasmas, Mycoplasma haemocanis and Candidatus Mycoplasma haematoparvum. By applying these assays, 15.4% of 460 dogs from the south of France tested hemoplasma positive. It was hypothesized that this high prevalence may be associated with the presence of Rhipicephalus sanguineus, a proposed vector for canine hemoplasmas. To address this hypothesis and expand the PCR-based knowledge on canine hemoplasmosis, we investigated dogs in a climatic zone that does not allow for the permanent establishment of R. sanguineus. Blood samples were collected throughout a year from 889 dogs in Switzerland: 1.2% of the dogs tested real-time PCR positive. The infection status was not significantly associated with anemia, age or gender. Phylogenetic analyses of Candidatus M. haematoparvum and M. haemocanis isolates revealed > or =99.8% identity to published sequences. All samples collected from three infected dogs throughout a follow-up period of < or =13 months tested PCR positive. Interestingly, the majority of the infected dogs either had been imported from or had visited regions where R. sanguineus is indigenous. Thus, canine hemoplasma prevalence was found to be low in a country with a climate incompatible with frequent occurrence of R. sanguineus. Nonetheless, veterinarians may expect hemoplasma infections in dogs with a travel history and/or after potential tick vector exposure.     

Predicting species-habitat relationships: does body size matter?

Context

Allometric scaling laws are foundational to structuring processes from cellular to ecosystem levels. The idea that allometric relationships underlie species characteristic selection scales, the spatial scales at which species respond to landscape features, has recently been investigated, however, supporting empirical evidence is scarce.

Objectives

Lack of pattern can be explained by inaccurate estimation, low power, confounding factors, or absence of a relationship. In this paper, we evaluate the relationship between body size and species characteristic selection scales after overcoming limitations of previous study designs.

Methods

We conducted 1328 avian point counts across the state of Nebraska using the robust sampling design to account for imperfect detection. We used Bayesian latent indicator scale selection with N-mixture models to estimate species’ characteristic selection scales of six habitat features for 86 species. We propagated the uncertainty associated with assigning characteristic scales to a model of the relationship between body size and characteristic spatial scales.

Results

Species characteristic scales varied across habitat predictors, and varied in the uncertainty associated with selecting single characteristic scales. After propagating uncertainty our results do not support a relationship between species’ body size and the spatial scales at which they respond to landscape features.

Conclusions

As species abundance integrates birth, death, immigration, and emigration processes, each of which are influenced by ecological processes manifesting at various scales, we question whether a general allometric relationship should be expected. Our results suggest that selection may act on responses to specific environmental features, rather than responses to spatial scale per se.

     

Effects and residual effects of straw,farmyard manuring,and mineral fertilization at Field F of the long‐term trial in Halle (Saale), Germany

The effects and residual effects of farmyard manure (FYM), straw fertilization and mineral N fertilization were investigated in Field F of the long‐term fertilization trial in Halle (Saale), Germany. With sufficient mineral N fertilization, FYM and straw did not directly affect yield. The application of FYM alone increased the yield of potato less than those of silage maize and sugar beet. With low mineral N fertilization, however, residual effects of FYM, applied to root crops, were observed in the following cereal crops. Application of more mineral N to root crops had the same residual effects. In case of omitted mineral N fertilization, the humus content of the soil decreased rapidly. This implies that almost no stable humic material had been accumulated by application of FYM and straw. The calculated N loss increased with enhanced organic fertilization. In case of mineral N fertilization the content of organic C (C_org) was slightly higher (1.4 to 1.5%) than without any N fertilization (1.3%). FYM and straw (with same amounts of dry matter) likewise enhanced the C_org‐content and, consequently, the content of decomposable C (C_dec). In general, organic fertilizers should not be applied in too large amounts to avoid N losses.     

IR-Spektroskopie: Eine Schnellmethode zur Prognose der N-Wirkung und relevanten Parameter von Biokomposten

IR-spectroscopy: a rapid method to estimate the nitrogen effect and relevant parameters of biocomposts The suitability of infrared spectroscopy to estimate the short-term nitrogen effect and relevant parameters of biocomposts was investigated. Models were developed which are based on the infrared spectra (4000—400 cm^—1) of 81 different biocomposts. They enable an estimation of the nitrogen and yield effect in a pot trial, and a close prediction of relevant compost parameters (C_t, N_t, C_t/N_t, pH_5h). A major advantage compared with the conventional chemical and biological methods is the simultaneous prediction of the nitrogen and yield effect and relevant parameters from the IR spectrum of an ’unknown’︁ compost. In addition, the infrared spectroscopy is considerably more rapid.