To investigate functional plant growth-promoting rhizobacteria in sugar beet, seasonal shifts in bacterial community structures in the lateral roots of sugar beet were examined using amplicon sequencing analyses of the… Click to show full abstract
To investigate functional plant growth-promoting rhizobacteria in sugar beet, seasonal shifts in bacterial community structures in the lateral roots of sugar beet were examined using amplicon sequencing analyses of the 16S rRNA gene. Shannon and Simpson indexes significantly increased between June and July, but did not significantly differ between July and subsequent months (August and September). A weighted UniFrac principal coordinate analysis grouped bacterial samples into four clusters along with PC1 (43.8%), corresponding to the four sampling months in the order of sampling dates. Taxonomic analyses revealed that bacterial diversity in the lateral roots was exclusively dominated by three phyla (Actinobacteria, Bacteroidetes, and Proteobacteria) in all samples examined. At the lower taxonomic levels, the dominant taxa were roughly classified into three groups. Therefore, the relative abundances of seven dominant genera (Janthinobacterium, Kribbella, Pedobacter, Rhodanobacter, Sphingobium, Sphingopyxis, and Streptomyces) were the highest in June and gradually decreased as sugar beet grew. The relative abundances of eight taxa (Bradyrhizobiaceae, Caulobacteraceae, Chitinophagaceae, Novosphingobium, Phyllobacteriaceae, Pseudomonas, Rhizobiaceae, and Sphingomonas) were mainly high in July and/or August. The relative abundances of six taxa (unclassified Comamonadaceae, Cytophagaceae, unclassified Gammaproteobacteria, Haliangiaceae, unclassified Myxococcales, and Sinobacteraceae) were the highest in September. Among the dominant taxa, 12 genera (Amycolatopsis, Bradyrhizobium, Caulobacter, Devosia, Flavobacterium, Janthinobacterium, Kribbella, Kutzneria, Pedobacter, Rhizobium, Rhodanobacter, and Steroidobacter) were considered to be candidate groups of plant growth-promoting bacteria based on their previously reported beneficial traits as biopesticides and/or biofertilizers.
               
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