Dynamics and Nutrient Release Pattern of Silica Sources in a Typical Entisol of Tropical Humid Region of Kerala

Silicon is considered as a beneficial element for crop nutrition especially for monocots. In order to study the effect of addition of different silica sources on the nutrient release pattern from an Entisol, a laboratory incubation study was conducted with three silica sources viz., sodium silicate, calcium silicate, and potassium silicate each @ 200 ppm and 400 ppm per kilo gram soil. The positive effect of addition of silicates was obvious on soil reaction, available Si, P, K, Ca, and Mg. Release of plant available silicon was the highest at 60th day after incubation (DAI) with potassium silicate @ 400 ppm per kg soil. Sodium silicate @ 200 ppm resulted in the highest exchangeable magnesium concentration at 45th DAI. The result of the study implies the positive influence of silicates on soil acidity as well as on enhancing the availability of phosphorus, potassium, calcium, and magnesium in an Entisol.     

Targeted Large-Scale Genome Mining and Candidate Prioritization for Natural Product Discovery

Large-scale genome-mining analyses have identified an enormous number of cryptic biosynthetic gene clusters (BGCs) as a great source of novel bioactive natural products. Given the sheer number of natural product (NP) candidates, effective strategies and computational methods are keys to choosing appropriate BGCs for further NP characterization and production. This review discusses genomics-based approaches for prioritizing candidate BGCs extracted from large-scale genomic data, by highlighting studies that have successfully produced compounds with high chemical novelty, novel biosynthesis pathway, and potent bioactivities. We group these studies based on their BGC-prioritization logics: detecting presence of resistance genes, use of phylogenomics analysis as a guide, and targeting for specific chemical structures. We also briefly comment on the different bioinformatics tools used in the field and examine practical considerations when employing a large-scale genome mining study.     

Effect of Corn Moisture on the Properties of Pet Food Extrudates

Corn moisture (9.5–13.5%) was significantly correlated to extrudate properties, even though water was added at the extruder to compensate for the differences in moisture. Water addition was more effective at the preconditioner than at the extruder, and longer retention preconditioner improved expansion. Water added to the pet food formula apparently was absorbed by the other formula ingredients and not the corn. Controlling the specific mechanical energy did not compensate for differences in corn moisture.