The interplay between phenotypic and ontogenetic plasticities can be assessed using reaction-diffusion models : The case of Pseudoplatystoma fishes.

Every morphological, behavioral, or even developmental character expression of living beings is coded in its genotype and is expressed in its phenotype. Nevertheless, the interplay between phenotypic and ontogenetic plasticities, that is, the capability to manifest trait variations, is a current field of research that needs morphometric, numerical, or even mathematical modeling investigations. In the present work, we are searching for a phenotypic index able to identify the underlying correlation among phenotypic, ontogenetic, and geographic distribution of the evolutionary development of species of the same genus. By studying the case of Pseudoplatystoma fishes, we use their skin patterns as an auxiliary trait that can be reproduced by means of a reaction diffusion (RD) model. From this model, we infer the phenotypic index in terms of one of the parameters appearing in the mathematical equations. To achieve this objective, we perform extensive numerical simulations and analysis of the model equations and link the parameter variations with different environmental and physicochemical conditions in which the individuals develop, and which may be regulated by the ontogenetic plasticity of the species. Our numerical study indicates that the patterns predicted by a set of reaction diffusion equations are not uniquely determined by the value of the parameters of the equation, but also depend on how the process is initiated and on the spatial distribution of values of these parameters. These factors are therefore significant, since they show that an individual's growth dynamics and apparent secondary transport processes, like advection, can be determinant for the alignment of motifs in a skin pattern. Our results allow us to discern the correlation between phenotypic, ontogenetic, and geographic distribution of the different species of Pseudoplatystoma fishes, thus indicating that RD models represent a useful taxonomic tool able to quantify evolutionary indexes.

Cytokine expression in porcine lungs experimentally infected with Mycoplasma hyopneumoniae.

To gain further insight into the pathogenesis of porcine enzootic pneumonia (PEP), cytokine expression in different pulmonary compartments was examined. Mycoplasma hyopneumoniae (Mh) and proinflammatory and immunoregulatory cytokines (IL-1alpha, IL-1beta, IL-2, IL-4, IL-6, IL-8, IL-10 and TNF-alpha) were detected by immunohistochemical methods in porcine lungs experimentally infected with Mh. Ten pigs were inoculated intranasally with Mh and killed in pairs weekly from 1- to 5-week post-inoculation (wpi). Three Mh-free pigs were taken as controls. Mh-antigen was shown in paraffin-wax-embedded tissues by immunohistochemistry in the luminal surface of bronchial and bronchiolar epithelial cells of all Mh-infected pigs. Significant increase in cytokine expression was detected on snap-frozen tissues from the bronchoalveolar exudate of the airways, mononuclear cells of the alveolar septa and macrophages and lymphocytes of the peribronchial and peribronchiolar lymphoid tissue, from 1 wpi onwards, compared to expression in non-pneumonic lungs. The main cytokines in the BALT of Mh-infected animals that showed an increase were IL-2, IL-4, IL-8, IL-10 and TNF-alpha. In the alveolar septa and bronchoalveolar exudate IL-1 (alpha and beta), IL-2, IL-4, IL-8 and IL-10 expression also increased in infected animals.