Project description:ISR is the initiation of a beneficial association by certain fungi in the rhizosphere followed by the establishment of belowground-aboveground signaling communication may result in the induction of heightened host resistance to foliar and stem pathogens, as well as insect pests.
Project description:Plants coexist in close proximity with numerous microorganisms in their rhizosphere. With certain microorganisms, plants establish mutualistic relationships that can confer physiological benefits to the interacting organisms, including enhanced nutrient assimilation or increased stress tolerance. The root-colonizing endophytic fungi Penicillium chrysogenum, Penicillium minioluteum, and Serendipita indica have been reported to enhance the drought stress tolerance of plants. However, to date, the molecular mechanisms triggered by these fungi in plants remain unexplored. This study presents a comparative analysis of the effects on mock- and fungus-infected tomato plants (var. Moneymaker) under drought stress conditions (40% field capacity) and control conditions (100% field capacity). The findings provide evidence for the induction of common response modules by the fungi.
Project description:To investigate the gene expression levels of Medicago truncatula roots after beneficial fungi Gongronella sp. w5 inoculated.Gongronella sp. w5 promoted M. truncatula growth and caused the accumulation of sucrose in M. truncatula root tissue at 16 day-post-inoculation (dpi) without invading into the root cells. The transport of photosynthetic product sucrose to the rhizosphere by M. truncatula root cells was accelerated by upregulating the SWEET gene.
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.