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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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BACKGROUND/PURPOSE: This study aimed to evaluate the usefulness of serum autotaxin, a novel liver fibrosis marker, for predicting post hepatectomy liver failure (PHLF) in patients undergoing hepatectomy for hepatocellular carcinoma (HCC). METHODS: Autotaxin was measured in sera from 269 patients undergoing hepatectomy for HCC. Correlations between autotaxin level, liver fibrosis stage (METAVIR F0-F4), and PHLF, as assessed by the International Study Group of Liver Surgery criteria, were analyzed. RESULTS: Median autotaxin concentrations correlated significantly with fibrosis stage (F0, 0.93; F1, 0.96; F2, 1.18; F3, 1.40; and F4, 1.47 mg/l; P < .0001). Autotaxin levels were significantly higher in female patients and hepatitis C virus antibody-positive patients compared with male or antibody-negative patients (P < .0001). PHLF grade ≥ B occurred in 25 patients (9.3%). A PHLF prediction model was constructed from four variables (autotaxin, resection rate, sex, and hepatitis C virus antibody positivity) and gave an area under the receiver operating characteristic curve of 0.8 (95% confidence interval [CI]: 0.69-0.87), which was superior to models based on ALPlat and resection rate (0.75, 95% CI: 0.64-0.83) or indocyanine green retention test and resection rate (0.72, 95% CI: 0.61-0.81). CONCLUSION: Serum autotaxin has utility for predicting liver fibrosis and PHLF in patients with HCC.

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The effects of different types of additional fertilizations (a compound fertilizer and Chiyoda-kasei) on the root-associated microbes of napa cabbage grown in an Andosol field were investigated by molecular community ana-lyses. Most of the closest known species of the bacterial sequences whose relative abundance significantly differed among fertilizers were sensitive to nitrogen fertilization and/or related to the geochemical cycles of nitrogen. The fungal community on the roots of napa cabbage was dominated by two genera, Bipolaris and Olpidium. The relative abundance of these two genera was affected by the types of fertilizers to some extent and showed a strong negative correlation.

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INTRODUCTION: In this work, six SARS-CoV-2-specific antibody assays were evaluated, namely, two pan-immunoglobulin (pan-Ig) assays [Roche Elecsys Anti-SARS-CoV-2 (named "Elecsys" in this study) and the PerkinElmer SuperFlex™ Anti-SARS-CoV-2 Ab Assay (SuperFlex_Ab)], two IgM assays [SuperFlex™ Anti-SARS-CoV-2 IgM Assay (SuperFlex_IgM) and YHLO iFlash-SARS-CoV-2 IgM (iFlash_IgM)], and two IgG assays [SuperFlex™ Anti-SARS-CoV-2 IgG Assay (SuperFlex_IgG) and iFlash-SARS-CoV-2 IgG (iFlash_IgG)]. Combination assays of SuperFlex™ (SuperFlex_any) and iFlash (iFlash_any) were also evaluated. METHODS: A total of 438 residual serum samples from 54 COVID-19 patients in the COVID-19 group and 100 samples from individuals without evidence of SARS-CoV-2 infection in the negative control group were evaluated. RESULTS: In the early stage of COVID-19 infection, within 14 days of symptom onset, the seropositive rate was lower than that of the late stage 15 days after onset (65.4% vs 99.6%). In the total period, the pan-Ig and IgG assays had higher sensitivity (90.8-95.3%) than the IgM assays (36.5-40.7%). SuperFlex_Ab and SuperFlex_any had higher sensitivity than Elecsys and SuperFlex_IgG (p < 0.05). The specificity of all the assays was 100%, except for SuperFlex_IgM (99.0%). The concordance rate between each assay was higher (96.4-100%) in the late stage than in the early stage (77.4-98.1%). CONCLUSION: For the purpose of COVID-19 diagnosis, antibody testing should be performed 15 days after onset. For the purpose of epidemiological surveillance, highly sensitive assays should be used as much as possible, such as SuperFlex_Ab, iFlash_IgG and their combination. IgM assays were not suitable for these purposes.

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Clone libraries of bacterial 16S rRNA genes (a total of 1,980 clones) were constructed from the leaf blades, petioles, taproots, and lateral roots of sugar beet (Beta vulgaris L.) grown under different fertilization conditions. A principal coordinate analysis revealed that the structures of bacterial communities in above- and underground tissues were largely separated by PC1 (44.5%). The bacterial communities of above-ground tissues (leaf blades and petioles) were more tightly clustered regardless of differences in the tissue types and fertilization conditions than those of below-ground tissues (taproots and lateral roots). The bacterial communities of below-ground tissues were largely separated by PC2 (26.0%). To survey plant growth-promoting bacteria (PGPBs), isolate collections (a total of 665 isolates) were constructed from the lateral roots. As candidate PGPBs, 44 isolates were selected via clustering analyses with the combined 16S rRNA gene sequence data of clone libraries and isolate collections. The results of inoculation tests using sugar beet seedlings showed that eight isolates exhibited growth-promoting effects on the seedlings. Among them, seven isolates belonging to seven genera (Asticcacaulis, Mesorhizobium, Nocardioides, Sphingobium, Sphingomonas, Sphingopyxis, and Polaromonas) were newly identified as PGPBs for sugar beet at the genus level, and two isolates belonging to two genera (Asticcacaulis and Polaromonas) were revealed to exert growth-promoting effects on the plant at the genus level for the first time. These results suggest that a community analysis-based selection strategy will facilitate the isolation of novel PGPBs and extend the potential for the development of novel biofertilizers.

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Genetic diversity of Japanese sugar beet elite inbred line diversity (JSBDIV) set consisting of 63 lines was investigated using 33 cleaved amplified polymorphic sequence and 38 simple sequence repeat analyses. JSBDIV set was significantly subdivided into six (pedigree information), seven (Neighbor-Joining method) or 12 (population structure analysis) groups. The highest value of a pairwise population differentiation estimate, Φ PT value, among groups was yielded from population structure analysis with explained variation 32%. Some of the groups defined in this study exhibited close association with ancestral open-pollinated varieties (OPVs), suggesting that inter-OPV cross was rare during the establishment of JSBDIV set. On the other hand, low Φ PT values between some groups suggest that genetic backgrounds of ancestral OPVs had historically overlapped to some extent. Phenotypic traits showed significant differences both among and within groups. A nearly identical group was identified as the highest sugar content group irrespective of the grouping methods. Groups with Aphanomyces root rot resistance are associated with an OPV 'Tmm-1', suggesting it as a source of this trait. 'Tmm-1' is also associated with Cercospora leaf spot resistance, but an exceptional resistant line with no association of 'Tmm-1' supports a notion that different genetic resources exist for this trait.

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Utilization of plant growth-promoting bacteria colonizing roots is environmentally friendly technology instead of using chemicals in agriculture, and understanding of the effects of their colonization modes in promoting plant growth is important for sustainable agriculture. We herein screened the six potential plant growth-promoting bacteria isolated from Beta vulgaris L. (Rhizobium sp. HRRK 005, Polaromonas sp. HRRK 103, Variovorax sp. HRRK 170, Mesorhizobium sp. HRRK 190, Streptomyces sp. HRTK 192, and Novosphingobium sp. HRRK 193) using a series of biochemical tests. Among all strains screened, HRRK 170 had the highest potential for plant growth promotion, given its ability to produce plant growth substances and enzymes such as siderophores and 1-aminocyclopropane-1-carboxylic acid (ACC) deaminase, respectively, concomitantly with active growth in a wider range of temperatures (10⁻30 °C) and pH (5.0⁻10.0). HRRK 170 colonized either as spots or widely on the root surface of all vegetable seedlings tested, but significant growth promotion occurred only in two vegetables (Chinese cabbage and green pepper) within a certain cell density range localized in the plant roots. The results indicate that HRRK 170 could function as a plant growth promoter, but has an optimum cell density for efficient use.

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Cercospora leaf spot (CLS) is one of the most serious leaf diseases for sugar beet (Beta vulgaris L.) worldwide. The breeding of sugar beet cultivars with both high CLS resistance and high yield is a major challenge for breeders. In this study, we report the nuclear magnetic resonance (NMR)-based metabolic profiling of field-grown leaves for a subset of sugar beet genotypes harbouring different levels of CLS resistance. Leaves were collected from 12 sugar beet genotypes at four time points: seedling, early growth, root enlargement, and disease development stages. ¹H-NMR spectra of foliar metabolites soluble in a deuterium-oxide (D2O)-based buffer were acquired and subjected to multivariate analyses. A principal component analysis (PCA) of the NMR data from the sugar beet leaves shows clear differences among the growth stages. At the later time points, the sugar and glycine betaine contents were increased, whereas the choline content was decreased. The relationship between the foliar metabolite profiles and resistance level to CLS was examined by combining partial least squares projection to latent structure (PLS) or orthogonal PLS (OPLS) analysis and univariate analyses. It was difficult to build a robust model for predicting precisely the disease severity indices (DSIs) of each genotype; however, GABA and Gln differentiated susceptible genotypes (genotypes with weak resistance) from resistant genotypes (genotypes with resistance greater than a moderate level) before inoculation tests. The results suggested that breeders might exclude susceptible genotypes from breeding programs based on foliar metabolites profiled without inoculation tests, which require an enormous amount of time and effort.

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We analyzed a metagenome of the bacterial community associated with the taproot of sugar beet (Beta vulgaris L.) in order to investigate the genes involved in plant growth-promoting traits (PGPTs), namely 1-aminocyclopropane-1-carboxylic acid (ACC) deaminase, indole acetic acid (IAA), N2 fixation, phosphate solubilization, pyrroloquinoline quinone, siderophores, and plant disease suppression as well as methanol, sucrose, and betaine utilization. The most frequently detected gene among the PGPT categories encoded ß-1,3-glucanase (18 per 10(5) reads), which plays a role in the suppression of plant diseases. Genes involved in phosphate solubilization (e.g., for quinoprotein glucose dehydrogenase), methanol utilization (e.g., for methanol dehydrogenase), siderophore production (e.g. isochorismate pyruvate lyase), and ACC deaminase were also abundant. These results suggested that such PGPTs are crucially involved in supporting the growth of sugar beet. In contrast, genes for IAA production (iaaM and ipdC) were less abundant (~1 per 10(5) reads). N2 fixation genes (nifHDK) were not detected; bacterial N2 -fixing activity was not observed in the (15)N2 -feeding experiment. An analysis of nitrogen metabolism suggested that the sugar beet microbiome mainly utilized ammonium and nitroalkane as nitrogen sources. Thus, N2 fixation and IAA production did not appear to contribute to sugar beet growth. Taxonomic assignment of this metagenome revealed the high abundance of Mesorhizobium, Bradyrhizobium, and Streptomyces, suggesting that these genera have ecologically important roles in the taproot of sugar beet. Bradyrhizobium-assigned reads in particular were found in almost all categories of dominant PGPTs with high abundance. The present study revealed the characteristic functional genes in the taproot-associated microbiome of sugar beet, and suggest the opportunity to select sugar beet growth-promoting bacteria.

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The partial sequences of the 16S rRNA genes of 531 bacteria isolated from the main root of the sugar beet (Beta vulgaris L.) were determined and subsequently grouped into 155 operational taxonomic units by clustering analysis (≥99% identity). The most abundant phylum was Proteobacteria (72.5-77.2%), followed by Actinobacteria (9.8-16.6%) and Bacteroidetes (4.3-15.4%). Alphaproteobacteria (46.7-64.8%) was the most dominant class within Proteobacteria. Four strains belonging to Verrucomicrobia were also isolated. Phylogenetic analysis revealed that the Verrucomicrobia bacterial strains were closely related to Haloferula or Verrucomicrobium.

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It is well established that ozone as well as oxygen activated by tryptophan 2,3-dioxygenase or indoleamine 2,3-dioxygenase cleave the 2,3-C=C bond of the indole ring of tryptophan to produce N-formylkynurenine. In the present study, however, we found that exposure of tryptophan to aqueous ozone at and below pH 4.5 generated a different compound. The compound was identified as kynurenine by high performance liquid chromatography and mass spectrometry. Exposure of N-formylkynurenine to acidic ozone did not generate a significant amount of kynurenine, indicating that the kynurenine was not produced via N-formylkynurenine. Acidic ozone thus appears to cleave the 1, 2-NAC bond in place of the 2,3-C=C bond of the indole ring, followed by liberation of the 2-C atom. The 1,2-NAC bond and 2,3-C=C bond are likely to undergo changes in their nature of bonding on acidification, enabling ozone to react with the former bond but not with the latter bond.

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Quantitative measurement of hepatitis C virus (HCV) has been performed by PCR method. However, PCR method has problems such as a special instrument, a complicated manual skill and a high cost. Recently, simple and highly sensitive HCV core antigen (Ag) method has been developed. We performed fundamental evaluation of HCV core Ag method, and compared HCV core Ag method with HCV PCR high-range method. The intra-assay and inter-assay variation coefficients for HCV core Ag were calculated to be within the ranges of 1.0-11.3% and 0.8-9.3%, respectively. The test of dilution linearity revealed the unstableness in the vicinity of a cut-off level of 50 fmol/L. Based on the result of the high-range method; sensitivity, specificity, positive predictive value, negative predictive value, and agreement rate were 97.0%, 100%, 100%, 82.0%, and 96.5%, respectively. The correlation between the HCV core Ag method and the high-range method was r = 0.87. Cost per sample and time from sample preparation to final report for HCV core Ag were cheaper and shorter than those of HCV PCR method, respectively. We consider that the HCV core Ag method seems to be useful as the quantitative measurement of HCV with respect to rapidness, easiness and low cost.

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