Project description:Rhizobium leguminosarum biovar viciae strain Rlv3841 was grown for 7 days in the rhizosphere of either 7 day old pea, alfalfa or sugarbeet before being harvested.
Project description:Microbial communities in the rhizosphere make significant contributions to crop health and nutrient cycling. However, their ability to perform important biogeochemical processes remains uncharacterized. Important functional genes, which characterize the rhizosphere microbial community, were identified to understand metabolic capabilities in the maize rhizosphere using GeoChip 3.0-based functional gene array method.
Project description:We used an M. truncatula 16K oligonucleotide array to profile gene expression in the leaves of transgenic alfalfa plants expressing Medicago truncatula isoflavone synthase 1 (MtIFS1). RNA purified from leaves of MtIFS1-expressing lines C22 and B20 and vector control line VC11 was used to generate Cy5-labeled cDNA. RNA purified from a second vector control line, VB2, was used to generate Cy3-labeled reference cDNA. Three independently propagated cuttings of each line were used and a total of nine hybridizations were performed. Our results indicated that MtIFS1-expression does not significantly alter global gene expression in the leaves. Keywords = Medicago Keywords = isoflavone synthase Keywords = alfalfa Keywords: other
Project description:Microbial communities in the rhizosphere make significant contributions to crop health and nutrient cycling. However, their ability to perform important biogeochemical processes remains uncharacterized. Important functional genes, which characterize the rhizosphere microbial community, were identified to understand metabolic capabilities in the maize rhizosphere using GeoChip 3.0-based functional gene array method. Triplicate samples were taken for both rhizosphere and bulk soil, in which each individual sample was a pool of four plants or soil cores. To determine the abundance of functional genes in the rhizosphere and bulk soils, GeoChip 3.0 was used.
Project description:Microbial communities in the rhizosphere make significant contributions to crop health and nutrient cycling. However, their ability to perform important biogeochemical processes remains uncharacterized. Important functional genes, which characterize the rhizosphere microbial community, were identified to understand metabolic capabilities in the maize rhizosphere using GeoChip 3.0-based functional gene array method. Triplicate samples were taken for both rhizosphere and bulk soil, in which each individual sample was a pool of four plants or soil cores. To determine the abundance of functional genes in the rhizosphere and bulk soils, GeoChip 3.0 was used.
Project description:Rhizobium leguminosarum biovar viciae strain Rlv3841 was grown for 7 d in the pea or alfalfa or sugarbeet rhizosphere (plants all 7 d old at inoculation) and compared against bacteria grown on glucose ammonia AMS medium in the laboratory.