ArticleMicrobes and environments2023
Seasonal Shifts in Bacterial Community Structures in the Lateral Root of Sugar Beet Grown in an Andosol Field in Japan.
Article in Microbes and environments, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Changes in the Rhizospheric Microbiota of Pepitilla Maize in Response to Drought: Functional and Taxonomic Analysis.Microorganisms · 2026Article
- Seed-Derived Synthetic Microbial Communities (SynComs) fromMicroorganisms · 2025Article
- Unraveling the spatio-temporal dynamics of soil and root-associated microbiomes in Texas olive orchards.Scientific reports · 2024Article
- Complete genome sequence ofMicrobiology resource announcements · 2024Article
- Phyllosphere bacterial community dynamics in response to bacterial wildfire disease: succession and interaction patterns.Frontiers in plant science · 2024Article
- Culture-Dependent and Metabarcoding Characterization of the Sugar Beet (Microorganisms · 2023Article
- Understanding the sugar beet holobiont for sustainable agriculture.Frontiers in microbiology · 2023Review
- Vertical transfer and functional characterization of cotton seed core microbiome.Frontiers in microbiology · 2023Article
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5 authors.
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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 ana-lyses 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 ana-lysis grouped bacterial samples into four clusters along with PC1 (43.8%), corresponding to the four sampling months in the order of sampling dates. Taxonomic ana-lyses 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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