FEMS Microbiology Ecology · 2018 · 65 citations · 36 references
AgricultureMicrobiologyPlant SciencesMicrobial EcologyPlant-microbe InteractionsSoil MicrobiologyPlant-associated Microbial CommunitiesRhizosphere BiologyRhizosphere EcologyRhizosphere InteractionsRhizosphere MicrobiologyRoot-microbe InteractionsBacterial Community DynamicsBacterial Community EcologyDisease Suppressive SoilsGreenhouse TrialsMicrobial ConsortiaPlant-associated Bacterial CommunitiesRhizosphere Bacterial CommunitiesRhizosphere Microbiomes
In disease-suppressive soil, plants rely upon mutualistic associations between roots and specific microbes for nutrient acquisition and disease suppression. Notably, the transmission of suppressiveness by the cysts of sugar beet cyst nematode from suppressive to conducive soils has been previously observed in greenhouse trials. However, our current understanding of the bacterial assemblages in the cyst, root endosphere and rhizosphere soil is still limited. To obtain insights into these bacterial microbiota assemblages, the bacterial communities inhabiting the plant-associated microhabitats and cysts in soybean cyst nematode (SCN)-suppressive soil were characterized by deep sequencing, using soybean grown under growth room conditions with additional SCN challenge. Clustering analysis revealed that the cyst bacterial community was closer to the root endosphere community than to the rhizosphere and bulk soil communities. Interestingly, the cyst bacterial community was initially established by the consecutive selection of bacterial taxa from the soybean root endosphere. We found a set of potential microbial consortia, such as Pasteuria, Pseudomonas, Rhizobium, and other taxa, that were consistently enriched in the rhizocompartments under SCN challenge, and more abundant in the cysts than in the bulk soil. Our results suggest that the soybean root-associated and cyst microbiota may cause the suppressiveness of SCN in suppressive soil.
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UPARSE: highly accurate OTU sequences from microbial amplicon reads
R. C. Edgar · Nature Methods · 2013 · 17.3K citations
The Ribosomal Database Project: improved alignments and new tools for rRNA analysis
James R. Cole, Qi Wang, Erick Cardenas et al. · Nucleic Acids Research · 2008 · 4.9K citations · Full text
Deciphering the Rhizosphere Microbiome for Disease-Suppressive Bacteria
Rodrigo Mendes, M. Kruijt, Irene de Bruijn et al. · Science · 2011 · 2.8K citations · Full text