AimsDifferent drivers are known to shape rhizosphere microbiome assembly. How soil texture (Texture) and presence or lack of root hairs (Root Hair) of plants affect the rhizosphere microbiome assembly and soil potential extracellular enzyme activities (EEA) at defined rooting depth (Depth) is still a knowledge gap. We investigated effects of these drivers on microbial assembly in rhizosphere and on potential EEA in root-affected soil of maize. MethodsSamples were taken from three depths of root hair defective mutant rth3 and wild-type WT maize planted on loam and sand in soil columns after 22 days. Rhizosphere bacterial, archaeal, fungal and cercozoan communities were analysed by sequencing of 16S rRNA gene, ITS and 18S rRNA gene fragments. Soil potential EEA of ß-glucosidase, acid phosphatase and chitinase were estimated using fluorogenic substrates. ResultsThe bacterial, archaeal and cercozoan alpha- and beta-diversity were significantly, and strongly altered by Texture, followed by Depth and Root Hair. Texture and Depth had a small impact on fungal assembly, and only fungal beta-diversity was significantly affected. Significant impacts by Depth and Root Hair on beta-diversity and relative abundances at taxonomic levels of bacteria, archaea, fungi and cercozoa were dependent on Texture. Likewise, the patterns of potential EEA followed the trends of microbial communities, and the potential EEA correlated with the relative abundances of several taxa.ConclusionsTexture was the strongest driver of rhizosphere microbiome and of soil potential EEA, followed by Depth and Root Hair, similarly to findings in maize root architecture and plant gene expression studies.

One key element for most employees in every well-run and prosperous institution was job satisfaction. The goal of the article is to examine the effects of job involvement and employee engagement under an empowered lead on job satisfaction. Since the hospital is closely tied to everyone's health and was my area of interest, the study population consists of all of the personnel in Pakistan's private hospital industry. The researcher used leadership descriptive analysis with a correlation approach. A total of 162 sample sizes of employees working in different hospitals used a simple random sampling method. descriptive statistics using SPSS involved frequency table, regression and correlation applied for data analysis. The model depicts a significant and favorable association between job involvement, employee engagement, empowering leadership, and job happiness, according to the study's findings. Therefore, we can say satisfied employees are more involved and engaged with their work and are more productive. To improve employee performance and productivity, every firm should devise measures that bolster a positive work environment and raise employee happiness

<p>The labile organic compounds provided by roots remove the nutrient limitation and thus stimulate microbial activity and facilitate biochemical process rates into the soil, forming microbial hotspots. However, the extent of root effect and the functional properties of microorganisms are dependent on the root morphology and can vary with the distance from the root. The objective of this study was 1) to investigate whether biochemical processes mediated by hydrolytic enzymes that are involved in C, N, and P cycling, are overlapping in the rhizosphere hotspots or whether they are hotspot-specific and 2) to evaluate the effect of plant genotype on the kinetic parameters in the hotspots. We identified the hotspots from two maize (<em>Zea mays</em> L.) plant genotypes (wild type and root hair deficient mutant) by applying zymography of β-glucosidase, acid phosphatase, and leucine aminopeptidase. Soil samples were taken at 1, 1-2, and >2mm from the hotspots epi-centrum.  The V<sub>max</sub> of β-glucosidase was 1.7 times higher at a 1mm distance from roots than 1-2mm and was 4 times higher than >2mm distance. The V<sub>max</sub> of β-glucosidase was significantly higher in the wild type versus root hair-deficient mutant at a 1mm distance from the root. Acid phosphatase and leucine aminopeptidase in both 96-well microplate and image processing indicated higher enzymes activity at the epi-centrum than outside the hotspot. In general, the microplate assay demonstrated similar trends with soil zymography, but the latter ensured better statistical significance. The K<sub>m</sub> values indicated similar enzyme systems within and outside the hotspots across the plant roots. The K<sub>m</sub> values suggested that root hair deficiency was compensated by higher affinity of enzymes acquiring C, N and P for the plant. In contrast, wild type of maize attracts microorganisms with broader spectrum of functional traits compared to root hair-deficient mutant. This work was conducted within the framework of the priority program 2089 “Rhizosphere spatiotemporal organization – a key to rhizosphere functions”, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project number: 403664478. Seeds of the maize were provided by Caroline Marcon and Frank Hochholdinger (University of Bonn).</p><p><strong>Keywords:</strong> Zymorgaphy, Enzyme activity, Enzyme affinity</p>