Details

Autor(en) / Beteiligte

• Rodriguez, Patricia A.
• Rothballer, Michael
• Chowdhury, Soumitra Paul
• Nussbaumer, Thomas
• Gutjahr, Caroline
• Falter-Braun, Pascal

Titel

Systems Biology of Plant-Microbiome Interactions

Ist Teil von

• Molecular plant, 2019-06, Vol.12 (6), p.804-821

Ort / Verlag

England: Elsevier Inc

Erscheinungsjahr

2019

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• In natural environments, plants are exposed to diverse microbiota that they interact with in complex ways. While plant–pathogen interactions have been intensely studied to understand defense mechanisms in plants, many microbes and microbial communities can have substantial beneficial effects on their plant host. Such beneficial effects include improved acquisition of nutrients, accelerated growth, resilience against pathogens, and improved resistance against abiotic stress conditions such as heat, drought, and salinity. However, the beneficial effects of bacterial strains or consortia on their host are often cultivar and species specific, posing an obstacle to their general application. Remarkably, many of the signals that trigger plant immune responses are molecularly highly similar and often identical in pathogenic and beneficial microbes. Thus, it is unclear what determines the outcome of a particular microbe–host interaction and which factors enable plants to distinguish beneficials from pathogens. To unravel the complex network of genetic, microbial, and metabolic interactions, including the signaling events mediating microbe–host interactions, comprehensive quantitative systems biology approaches will be needed. Plants need to respond appropriately to surrounding microbes to fend off pathogens and allow colonization by beneficials and symbionts. Challenges are that beneficials and pathogens are often evolutionary close relatives, and productive probiotic interactions can be species and cultivars specific. Systems biology approaches will be vital for understanding the integrated and genetically variable networks mediating host–microbiome interactions.