Nov 4, 2011 - quorum sensing inhibitors, chemotropic agents, and predations or parasitism (17). Modeling using a third-degree polynomial re- sults in an ...
Characterization and Identification of Productivity-Associated Rhizobacteria in Wheat Michael Andersona and Joshua Habigerb Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, Oklahoma, USA,a and Department of Statistics, Oklahoma State University, Stillwater, Oklahoma, USAb
The rhizosphere is populated by a numerous and diverse array of rhizobacteria, and many impact productivity in largely unknown ways. Here we characterize the rhizobacterial community in a wheat variety categorized according to shoot biomass using 16S rRNA pyrosequencing abundance data. Plants were grown in homogenized field soil under greenhouse conditions, and DNA was extracted and pyrosequenced, resulting in 29,007 quality sequences. Operational taxonomic units (OTUs) that were significantly associated with biomass productivity were identified using an exact test adjusted for the false-discovery rate. The productivity deviation expressed as a percentage of the total mean square for regression (PMSR) was determined for each OTU. Out of 719 OTUs, 42 showed significant positive associations and 39 showed significant negative associations (q value,
