Carbohydrate, Amino acid, Phenolic and Mineral Nutrient Contents of Pepper Plants in Relation to Age-Related Resistance to Phytophthora capsici

The relationship between age-related resistance of peper plants to Phytophthora capsici and contents of carbohydrates, amino acids, phenolics and mineral nutrients in pepper stems was studied using two pepper cultivars, Hanbyul (susceptible) and Kingkun (resistant). With increasing age of pepper plants, the two cultivars, which differ in their susceptibility to Phytophthora blight, became gradually resistant to the disease. The cultivar Kingkun distinctly showed the age-related resistance to Phytophthora blight at the second branch stage. The weight of dry matter in healthy stems of pepper plants at the second branch stage was twice that at the six leaf stage. The resistant cultivar Kingkun contained lower levels of fructose, glucose and sucrose in stems than the susceptible cultivar Hanbyul at the different developmental stages. No consistent differences between the developmental stages of the plants were recognized with regard to their glucose content. However, the contents of fructose and sucrose in the cultivar Hanbyul greatly increased at the second branch stage. The levels of inositol reduced in both pepper cultivars during plant development. In view of the fact that there were only slight changes in the amount of total amino acids, it seems unlikely that there is a relationship between the amino acid metabolism and the retardation of Phytophthora infection during plant development. The amounts of total phenolic compounds in pepper stems were relatively low at the later growth stages of the plants and also in the resistant cultivar Kingkun. The contents of macroelemental nutrients such as nitrogen, phosphorus, potassium, calcium and magnesium were drastically reduced in pepper stems at the later plant growth stage. No significant differences between the cultivars or the plant growth stages were found in the silicon and microelemental nutrients such as sodium, iron, zinc and manganese. These results suggest that the expression of age-related resistance of pepper plants may be due to the morphological and nutritional changes in tissues of pepper stems during ageing, i.e. the pronounced increase in weight of dry matter, the significant decrease in amounts of mineral nutrients such as nitrogen, phosphorus, potassium, calcium and magnesium, and the tow contents of fructose, glucose and sucrose in the stem tissues.     

The Claustrum Supports Resilience to Distraction

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Differential Induction and Accumulation of β-1,3-Glucanase and Chitinase Isoforms in the Intercellular Space and Leaf Tissues of Pepper by Xanthomonas campestris pv. vesicatoria Infection

The virulent strain Ds 1 of Xanthomonas campestris pv. vesicatoria multiplied in pepper (cv. Hanbyul) leaves better than did the avirulent strain 81–23, which formed localized necrosis at the onset of pathogenesis. Infection of pepper leaves by X. campestris pv. vesicatoria induced the synthesis and accumulation of β-1,3-glucanase and chitinase in the intercellular space and leaf tissue of pepper plants. In the uninoculated controls, the two hydrolases remained at a very low level. High levels of the two enzymes were found in an incompatible interaction of pepper leaves with X. campestris pv. vesicatoria . In particular, chitinase activity in the intercellular washing fluids (IWF) was higher in the incompatible than in the compatible interactions. The direct detection of acidic β-1,3-glucanases on 10% native PAGE gels revealed only two isoform bands (Ga 1 and Ga 2). Isoelectric focusing identified two acidic β-1,3-glucanase isoforms with pl 5.0 and 5.2, and four basic isoforms with pl 7.1, 7.4, 7.9, and 8.8 in the IWF and extracts of infected leaf tissues. Some of the isoforms disappeared during pathogenesis and the others appeared during symptom expression. The acidic chitinase isoforms (Ca 1, Ca 2, and Ca 3) were located primarily in the intercellular spaces. Synthesis of high levels of the acidic isoform Ca 3 in infected pepper leaves was seen. Several basis chitinase isoforms accumulated only in diseased leaf tissue, and especially more in the incompatible than the compatible interaction. By using isoelectric focusing, the three acidic and seven basic chitinase isoforms in the IWF and leaf extracts were detected on chitin overlay gels.     

Isoprenoid quinones and fatty acids ofZoogloea

NineZoogloea strains including the type strain ofZ. ramigera (IAM 12136=ATCC 19544=N.C. Dondero 106) and newly isolated strains were investigated for isoprenoid quinone composition and whole-cell fatty acid profiles. Seven of the tested strains, having phenotypic properties typical ofZoogloea, were characterized by their production of both ubiquinone-8 and rhodoquinone-8 as major quinones, whereas the remaining two strains,Z. ramigera IAM 12669 (=K. Crabtree I-16-M) and IAM 12670 (=P.R. Dugan 115), formed ubiquinone-10 and ubiquinone-8, respectively, as the sole quinone. All rhodoquinone-producing strains contained palmitoleic acid and 3-hydroxy-decanoic acid as the major components of nonpolar and hydroxylated fatty acids, respectively. Marked differences were noted in the fatty acid composition between the strains with and without rhodoquinones. The chemotaxonomic data suggested that the rhodoquinonelacking strains should be excluded from the genusZoogloea. Since there have been no reliable taxonomic tools forZoogloea, rhodoquinone analysis may provide a new criterion of great promise for identifyingZoogloea strains.     

Deep transformation models for functional outcome prediction after acute ischemic stroke

In many medical applications, interpretable models with high prediction performance are sought. Often, those models are required to handle semistructured data like tabular and image data. We show how to apply deep transformation models (DTMs) for distributional regression that fulfill these requirements. DTMs allow the data analyst to specify (deep) neural networks for different input modalities making them applicable to various research questions. Like statistical models, DTMs can provide interpretable effect estimates while achieving the state-of-the-art prediction performance of deep neural networks. In addition, the construction of ensembles of DTMs that retain model structure and interpretability allows quantifying epistemic and aleatoric uncertainty. In this study, we compare several DTMs, including baseline-adjusted models, trained on a semistructured data set of 407 stroke patients with the aim to predict ordinal functional outcome three months after stroke. We follow statistical principles of model-building to achieve an adequate trade-off between interpretability and flexibility while assessing the relative importance of the involved data modalities. We evaluate the models for an ordinal and dichotomized version of the outcome as used in clinical practice. We show that both tabular clinical and brain imaging data are useful for functional outcome prediction, whereas models based on tabular data only outperform those based on imaging data only. There is no substantial evidence for improved prediction when combining both data modalities. Overall, we highlight that DTMs provide a powerful, interpretable approach to analyzing semistructured data and that they have the potential to support clinical decision-making.