Association of soil chemical and physical properties with Pythium species diversity, community composition, and disease incidence.

A high-throughput baiting and identification process identified more than 7,000 isolates of Pythium from 88 locations in Ohio. Isolates were identified using direct-colony polymerase chain reaction followed by single-strand conformational polymorphism, and communities were assembled using the Jaccard similarity coefficient and cluster analysis. Both univariate and multivariate statistics were used to evaluate differences in soil properties between communities, and canonical discriminant analysis (CDA) was used to assess the strength of the association of soil variables within communities from 83 of the locations. In all, 21 species of Pythium were identified but only 6 were recovered from >40% of the locations. Five communities were formed using the cluster analysis, and significant differences were observed in disease incidence, as well as soil pH, calcium, magnesium, and cation exchange capacity between communities. Stepwise multiple discriminant analysis and CDA identified pH, calcium, magnesium, and field capacity as contributing the most to the separation of the five Pythium communities. There was a strong association between abiotic soil components and the structure of Pythium communities, as well as diversity of Pythium spp. collected from agronomic production fields in Ohio.

Studies of on-line viable yeast biomass with a capacitance biomass monitor.

A commercially available biomass monitor has been employed in a number of applications. For capacitance monitors, a relationship between capacitance measurement and cell counts or colony forming units has been reported in the literature. However, for use as an online instrument, a more practical correlation with the biomass concentration is needed. In this study, we followed the batch growth of brewer's yeast and a correlation with viable biomass concentration (g DW/L) was demonstrated. This correlation was utilized with the capacitance biomass monitor in a control loop to maintain setpoint biomass levels in a cyclic reactor under perturbations. Not only did the system demonstrate the capability of the biomass monitor to control biomass in such a system, but it also confirmed the correlation reported in our earlier work. (c) 1994 John Wiley & Sons, Inc.

Interference of recombinant soluble CD4 immunoglobulin G in flow cytometric measurement of CD4+ lymphocytes.

Recombinant soluble CD4 covalently linked to an immunoglobulin G heavy chain (rCD4-IgG) was evaluated clinically for the treatment of human immunodeficiency virus infection. The interference of rCD4-IgG with the measurement of peripheral blood CD4 lymphocytes by whole-blood lysis flow cytometric analysis was investigated using three commercial monoclonal antibody reagents. Addition of rCD4-IgG resulted in an artifactual decrease in measured CD4 number at rCD4-IgG levels of greater than or equal to 1 micrograms/mL; the threshold for this decrease was dependent on the concentration of monoclonal antibody in the commercial preparation used for the measurement of CD4. This artifactual decrease in CD4 cell count was observed in two patients who received rCD4-IgG intravenously. The apparent decrease in CD4 count was eliminated with the use of a single phosphate-buffered saline wash step before the addition of monoclonal antibody. rCD4-IgG can bind to anti-CD4 antibody and lower the measured CD4 cell count in vitro; this interference can be eliminated by a single or a double wash step and is necessary when using the whole-blood lysis flow cytometric technique of enumerating CD4 lymphocytes in patients receiving rCD4-immunoglobulin G.