TAILIEUCHUNG - The soybean rhizosphere: Metabolites, microbes, and beyond—A review

The rhizosphere is the region close to a plant’s roots, where various interactions occur. Recent evidence indicates that plants influence rhizosphere microbial communities by secreting various metabolites and, in turn, the microbes influence the growth and health of the plants. Despite the importance of plantderived metabolites in the rhizosphere, relatively little is known about their spatiotemporal distribution and dynamics. In addition to being an important crop, soybean (Glycine max) is a good model plant with which to study these rhizosphere interactions, because soybean plants have symbiotic relationships with rhizobia and arbuscular mycorrhizal fungi and secrete various specialized metabolites, such as isoflavones and saponins, into the soil. This review summarizes the characteristics of the soybean rhizosphere from the viewpoint of specialized metabolites and microbes and discusses future research perspectives. In sum, secretion of these metabolites is developmentally and nutritionally regulated and potentially alters the rhizosphere microbial communities. | The soybean rhizosphere: Metabolites, microbes, and beyond—A review

• Sinh học
• Root exudates
• Sustainable agriculture
• The soybean rhizosphere
• Beyond A review
• Plants influence rhizosphere
• Microbial communities
• Organic acids
• Glauconite nanoparticle
• Glauconite nano particle
• Plant’s exudates or secretions
• BMC Genomics
• Verticillium dahliae
• Hydrolase activity
• hydrolyzing O glycosyl compounds hydrolase
• Cotton Verticillium wilt
• Plant Biology
• Phosphorus use efficiency
• Phosphorus deficiency
• Spatial distribution of phosphorus
• RNA seq
• Gene expression
• báo cáo khoa học
• báo cáo y học
• công trình nghiên cứu về y học
• tài liệu về y học
• cách trình bày báo cáo
• Spore germination
• Germ tube induction
• Glomus intraradices
• Glomus Intraradices in in vitro
• Beta rhizobia
• Alpha rhizobia
• Rhizobium species
• Sampling sites
• Cellulose degrading microbial communities
• Carboxy methyl cellulose medium
• Cellulose degraders
• Role of microbial communities
• Mitigate climate change
• Mitigate climate change in agriculture
• Mitigation option
• Luận án Tiến sĩ
• Luận án Tiến sĩ Sinh học
• Medicinal plant Curcuma
• Rhizosphere microbial communities
• Enhance turmeric yield
• Microbial community
• Alpha proteobacterial communities
• Shifting cultivation cycle
• Microbial inoculation
• Soil Alphaproteobacterial community composition
• Indigenous microorganism communities
• Different agri ecosystems
• Agri ecosystems
• Microbial diversity
• Agro ecosystem habitats like bacteria
• Assembly processes
• Single cell
• Spatially explicit
• Plant immunity
• Biomass ratio
• Green manure
• Kharif Maize
• Soil enzymes
• BMC Biotechnology
• Biotrickling filter
• Packing materials
• Malodorous gases
• Co occurrence network
• BMC Bioinformatics
• Bacteria detection
• NGS analysis
• Microbial genomes
• Next generation sequencing data
• Homology based methods
• Microbial network
• Data mining
• Network analysis
• Associate rule mining
• Topic model
• Unigram mixture
• Bayesian inference
• Disease conditions
• Microbial ecology
• SqueezeMeta software
• Dramatic decrease
• trình bày báo cáo
• tài liệu báo cáo khoa học
• kiến thức y học
• nghiên cứu y học
• Fluorescein in situ hybridization
• Real time PCR
• Hypersaline environments
• Çamaltı Saltern
• Polymerase chain reaction
• Fighting microbial diseases
• Meet the prokaryotes
• Teasing apart communities
• Synthesizing life
• Examining the vastness
• BMC Plant Biology
• Vertical transmission
• Yield stability
• Corn hybrid
• Maize hybrid
• Rhizosphere microorganisms
• Orobanche cumana wallr pathosystem
• Rhizosphere microbiota
• Microscopic fungi
• Distributed computing
• Functional annotation
• Multiple disciplines
• Operational taxonomic unit
• Beta diversity estimation
• 16S rRNA gene
• OTU generation accuracy
• Taxonomic classification
• 16S rRNA gene sequence
• RDP classifier
• Supervised learning methods
• Bacterial hosts
• Viral contigs
• Bioinformatics analysis methods
• Mock microbial
• Clade exclusion
• Bacterial autolysis
• Spatial ecology
• Abandoned mine
• Soil particle
• 16s rRNA
• Rhizosphere soil
• Non negative matrix factorization
• Bayesian hierarchical modeling
• Disease processes
• Analyze clinical data