FORMATION OF THE EUBACTERIAL COMPLEX IN THE RHYOSPHERE OF SUGAR BEET (Beta vulgaris) UNDER DIFFERENT FERTILIZATION SYSTEMS

Hudz, S.; Medcine,; Ukraine,

doi:10.15407/biotech14.01.81

Cited by 3 publications

(6 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These observations generally support our results, especially regarding elevation, as mean elevation was significantly higher ( p < 0.0001) for pine stands than for hardwood stands (20.0 ± 0.5 vs. 10.4 ± 1.4 m, respectively). Finally, Hudz and Skivka (2021) found members of the Syntrophobacteraceae to be highly sensitive to soil fertility, as they appear to be for our sites.…”

Section: Resultssupporting

confidence: 55%

See 1 more Smart Citation

Soil microbiomes of hardwood‐ versus pine‐dominated stands: Linkage with overstory species

Gilliam,

Hargis,

Rabinowitz

et al. 2023

Ecosphere

View full text Add to dashboard Cite

Biodiversity in forest ecosystems is paradoxical. Whereas their most apparent component-the woody overstory-is the least diverse with respect to numbers of species, the least apparent component is the biotic community of highest diversity-the soil microbiome. Numerous factors influence the composition and diversity of soil microbial communities, which in turn exert a profound impact on plant species occupying the soil and the biogeochemistry of essential plant nutrients. Of interest in forest ecosystems is how the soil microbiome interacts with the overstory, a phenomenon referred to as linkage. This study compared the soil microbiome of two adjacent stand types-hardwood-and longleaf pine (Pinus palustris)-dominated-and addressed the following questions: (1) How does soil microbiome vary with stand type? (2) Do the forest overstory community and soil microbiome exhibit linkage? Twelve 0.04-ha circular plots were established in each stand type to assess tree community composition and structure and to sample mineral soil for three separate analyses: assessment of soil fertility, measurement of total carbon and nitrogen (N), and extraction of genomic DNA for assessment of microbiome communities. All live stems ≥2.5 cm dbh in each plot were identified to species and measured for dbh to the nearest 0.1 cm. Mineral soil was taken from a depth of 5 cm and oven-dried at 38 C prior to analyses. Hardwood stands were dominated by flowering magnolia (Magnolia grandiflora) and southern evergreen oaks, whereas pine stands were dominated by longleaf pine and live oak (Quercus virginiana). Although soils of both stand types were highly acidic, the hardwood stands were generally higher in fertility, especially for total and available N. The overstory and soil microbial communities exhibited evidence of linkage among all sample plots combined. When assessed separately by stand type, only hardwood-dominated stands displayed evidence of overstory/microbial linkage. These results have broader implications for future scenarios given the sensitivity of soil microbes to climate change.

show abstract

Section: Resultssupporting

confidence: 55%

“…Finally, Hudz and Skivka (2021) found members of the Syntrophobacteraceae to be highly sensitive to soil fertility, as they appear to be for our sites.…”

Section: Soil Microbiomesupporting

confidence: 66%

Soil microbiomes of hardwood‐ versus pine‐dominated stands: Linkage with overstory species

Gilliam,

Hargis,

Rabinowitz

et al. 2023

Ecosphere

View full text Add to dashboard Cite

show abstract

“…Regarding the rhizosphere of sugar beet, microbial community analyses with recent molecular biological technologies have targeted rhizosphere soil (Mendes et al, 2011;Zachow et al, 2014;Hudz and Skivka, 2021) and the taproot (Shi et al, 2014;Tsurumaru et al, 2015), but not the lateral roots, except in our study described above (Okazaki et al, 2021). A microbial community analysis using an automated ribosomal intergenic spacer previously demonstrated that plant growth stages influenced the diversity of the rhizosphere microbial community in tuber peelings of sugar beet (Houlden et al, 2008).…”

mentioning

confidence: 88%

“…Although sugar beet is one of the major crops in temperate regions, only a few studies have conducted a bacterial community analysis of its phytosphere. By using Phylo-Chip, Mendes et al (2011) reported that Proteobacteria was the most dominant phylum followed by Firmicutes, Actinobacteria, and Bacteroidetes in the rhizosphere soil of sugar beet seedlings grown in arable soil, while Hudz and Skivka (2021) showed that the rhizosphere soil bacteria of sugar beet were exclusively dominated by Proteobacteria and Actinobacteria. Shi et al (2014) demonstrated that the endophytic bacteria of the taproot were exclusively dominated by Proteobacteria, particularly Alphaproteobacteria, throughout the entire growth stages of sugar beet.…”

Section: Overview Of Taxonomic Features Of Lateral Root-associated Ba...mentioning

confidence: 99%

Seasonal Shifts in Bacterial Community Structures in the Lateral Root of Sugar Beet Grown in an Andosol Field in Japan

et al. 2023

View full text Add to dashboard Cite

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.

show abstract

“…Results showed that most plant-beneficial bacteria detected on various plant-based media could not be detected by metabarcoding. The microbiome of the sugar beet has previously been analyzed using metabarcoding from various aspects: seasonal shifts in the lateral root microbiome [ 6 ], spatiotemporal changes in endophytic bacterial diversity [ 34 ], the rhizobiome of the sugar beet under different fertilizer systems [ 35 ], the leaf bacteriome in relation to the susceptibility of the sugar beet to beet curly top virus [ 36 ], and Cercospora leaf spot disease [ 37 ]. In this study, the microbiome of the sugar beet was investigated in two plant parts, the root and the leaf, and compared in different plant development stages (May, July, and October).…”

Section: Discussionmentioning

confidence: 99%

Culture-Dependent and Metabarcoding Characterization of the Sugar Beet (Beta vulgaris L.) Microbiome for High-Yield Isolation of Bacteria with Plant Growth-Promoting Traits

Krstić Tomić,

Atanasković,

Nikolić

et al. 2023

Microorganisms

View full text Add to dashboard Cite

The diversity of plant-associated bacteria is vast and can be determined by 16S rRNA gene metabarcoding. Fewer of them have plant-beneficial properties. To harness their benefits for plants, we must isolate them. This study aimed to check whether 16S rRNA gene metabarcoding has predictive power in identifying the majority of known bacteria with plant-beneficial traits that can be isolated from the sugar beet (Beta vulgaris L.) microbiome. Rhizosphere and phyllosphere samples collected during one season at different stages of plant development were analyzed. Bacteria were isolated on rich unselective media and plant-based media enriched with sugar beet leaves or rhizosphere extracts. The isolates were identified by sequencing the 16S rRNA gene and tested in vitro for their plant-beneficial properties (stimulation of germination; exopolysaccharide, siderophore, and HCN production; phosphate solubilization; and activity against sugar beet pathogens). The highest number of co-occurring beneficial traits was eight, found in isolates of five species: Acinetobacter calcoaceticus, Bacillus australimaris, B. pumilus, Enterobacter ludwiigi, and Pantoea ananatis. These species were not detected by metabarcoding and have not previously been described as plant-beneficial inhabitants of sugar beets. Thus, our findings point out the necessity of a culture-dependent microbiome analysis and advocate for low-nutrient plant-based media for high-yield isolation of plant-beneficial taxa with multiple beneficial traits. A culture-dependent and -independent approach is required for community diversity assessment. Still, isolation on plant-based media is the best approach to select isolates for potential use as biofertilizers and biopesticides in sugar beet cultivation.

show abstract

FORMATION OF THE EUBACTERIAL COMPLEX IN THE RHYOSPHERE OF SUGAR BEET (Beta vulgaris) UNDER DIFFERENT FERTILIZATION SYSTEMS

Cited by 3 publications

References 11 publications

Soil microbiomes of hardwood‐ versus pine‐dominated stands: Linkage with overstory species

Soil microbiomes of hardwood‐ versus pine‐dominated stands: Linkage with overstory species

Seasonal Shifts in Bacterial Community Structures in the Lateral Root of Sugar Beet Grown in an Andosol Field in Japan

Culture-Dependent and Metabarcoding Characterization of the Sugar Beet (Beta vulgaris L.) Microbiome for High-Yield Isolation of Bacteria with Plant Growth-Promoting Traits

Contact Info

Product

Resources

About