Melatonin enhances resistance to Botryosphaeria dothidea in pear by promoting jasmonic acid and phlorizin biosynthesis.

Ring rot, caused by Botryosphaeria dothidea, is an important fungal disease of pear fruit during postharvest storage. Melatonin, as a plant growth regulator, plays an important role in enhancing the stress resistance of pear fruits. It enhances the resistance of pear fruits to ring rot by enhancing their antioxidant capacity. However, the underlying mechanism remains unclear. In this study, we examined the effect of melatonin on the growth of B. dothidea. Results showed that melatonin did not limit the growth of B. dothidea during in vitro culture. However, metabolomics and transcriptomics analyses of 'Whangkeumbae' pear (Pyrus pyrifolia) revealed that melatonin increased the activity of antioxidant enzymes, including peroxidase (POD), superoxide dismutase (SOD), and polyphenol oxidase (PPO), in the fruit and activated the phenylpropanoid metabolic pathway to improve fruit resistance. Furthermore, melatonin treatment significantly increased the contents of jasmonic acid and phlorizin in pear fruit, both of which could improve disease resistance. Jasmonic acid regulates melatonin synthesis and can also promote phlorizin synthesis, ultimately improving the resistance of pear fruit to ring rot. In summary, the interaction between melatonin and jasmonic acid and phlorizin enhances the antioxidant defense response and phenylpropanoid metabolism pathway of pear fruit, thereby enhancing the resistance of pear fruit to ring rot disease. Our results provide new insights into the application of melatonin in the resistance to pear fruit ring rot.

OsO2 as the Contrast-Generating Chemical Species of Osmium-Stained Biological Tissues in Electron Microscopy.

Electron imaging of biological samples stained with heavy metals has enabled visualization of subcellular structures critical in chemical-, structural-, and neuro-biology. In particular, osmium tetroxide OsO4 has been widely adopted for selective lipid imaging. Despite the ubiquity of its use, the osmium speciation in lipid membranes and the process for contrast generation in electron microscopy (EM) have continued to be open questions, limiting efforts to improve staining protocols and therefore high-resolution nanoscale imaging of biological samples. Following our recent success using photoemission electron microscopy (PEEM) to image mouse brain tissues with synaptic resolution, we have used PEEM to determine the nanoscale electronic structure of Os-stained biological samples. Os(IV), in the form of OsO2, generates nanoaggregates in lipid membranes, leading to a strong spatial variation in the electronic structure and electron density of states. OsO2 has a metallic electronic structure that drastically increases the electron density of states near the Fermi level. Depositing metallic OsO2 in lipid membranes allows for strongly enhanced EM signals and conductivity of biological materials. The identification of the chemical species and understanding of the membrane contrast mechanism of Os-stained biological specimens provides a new opportunity for the development of staining protocols for high-resolution, high-contrast EM imaging.

Low temperature-induced regulatory network rewiring via WRKY regulators during banana peel browning.

Banana (Musa spp.) fruits, as typical tropical fruits, are cold sensitive, and lower temperatures can disrupt cellular compartmentalization and lead to severe browning. How tropical fruits respond to low temperature compared to the cold response mechanisms of model plants remains unknown. Here, we systematically characterized the changes in chromatin accessibility, histone modifications, distal cis-regulatory elements, transcription factor binding, and gene expression levels in banana peels in response to low temperature. Dynamic patterns of cold-induced transcripts were generally accompanied by concordant chromatin accessibility and histone modification changes. These upregulated genes were enriched for WRKY binding sites in their promoters and/or active enhancers. Compared to banana peel at room temperature, large amounts of banana WRKYs were specifically induced by cold and mediated enhancer-promoter interactions regulating critical browning pathways, including phospholipid degradation, oxidation, and cold tolerance. This hypothesis was supported by DNA affinity purification sequencing, luciferase reporter assays, and transient expression assay. Together, our findings highlight widespread transcriptional reprogramming via WRKYs during banana peel browning at low temperature and provide an extensive resource for studying gene regulation in tropical plants in response to cold stress, as well as potential targets for improving cold tolerance and shelf life of tropical fruits.

An efficient lipid droplet-targeted fluorescent probe for detection of intracellular viscosity.

Lipid droplet, an intracellular lipid reservoir, is vital for energy metabolism and signal transmission in cells. The viscosity directly affects the metabolism of lipid droplets, and the abnormal viscosity is associated with the occurrence and development of various diseases. Therefore, it is indispensable to develop techniques that can detect viscosity changes in intracellular lipid droplets. Based on twisted intramolecular charge transfer (TICT) mechanism, a novel small-molecule lipid droplet-targeted viscosity fluorescence probe PPF-1 was designed. The probe was easy to synthesize, it had a large Stokes shift, stable optical properties, and low bio-toxicity. Compared to being in methanol solution, the fluorescence intensity of PPF-1 in glycerol solution was increased 26.7-fold, and PPF-1 showed excellent ability to target lipid droplets. Thus, the probe PPF-1 could provide an effective means of detecting viscosity changes of lipid droplets and was of great value for physiological diagnosis of related diseases, pathological analysis, and medical research.

Synthesis of Phase Junction Cadmium Sulfide Photocatalyst under Sulfur-Rich Solution System for Efficient Photocatalytic Hydrogen Evolution.

Photocatalyst with excellent semiconductor properties is the key point to realize the efficient photocatalytic hydrogen evolution (PHE). As a representative binary metal sulfide (BMS) semiconductor, cadmium sulfide (CdS) possesses suitable bandgap of 2.4 eV and negative conduction band potential, which has a great potential to realize efficient visible-light PHE performance. In this work, CdS with unique cubic/hexagonal phase junction is facilely synthesized through a sulfur-rich butyldithiocarbamate acid (BDCA) solution process. The results illustrate that the phase junction can efficiently enhance the separation and transfer of photogenerated electron-hole pairs, resulting in an excellent PHE performance. In addition, the sulfur-rich property of BDCA solution leads to the absence of additional sulfur sources during the synthesis of CdS photocatalyst, which greatly simplifies the fabrication process. The optimal PHE rate of the BDCA-synthesized phase junction CdS photocatalyst is 7.294 mmol g-1  h-1 and exhibits a favorable photostability. Moreover, density function theory calculations indicated that the apparent redistribution of charge density in the cubic/hexagonal phase junction regions gives a suitable hydrogen adsorption capacity, which is responsible for the enhanced PHE activity.

Predicting of elderly population structure and density by a novel grey fractional-order model with theta residual optimization: a case study of Shanghai City, China.

BACKGROUND: Accurately predicting the future development trend of population aging is conducive to accelerating the development of the elderly care industry. This study constructed a combined optimization grey prediction model to predict the structure and density of elderly population. METHODS: In this paper, a GT-FGM model is proposed, which combines Theta residual optimization with fractional-order accumulation operator. Fractional-order accumulation can effectively weaken the randomness of the original data sequence. Meanwhile, Theta residual optimization can adjust parameter by minimizing the mean absolute error. And the population statistics of Shanghai city from 2006 to 2020 were selected for prediction analysis. By comparing with the other traditional grey prediction methods, three representative error indexes (MAE, MAPE, RMSE) were conducting for error analysis. RESULTS: Compared with the FGM model, GM (1,1) model, Verhulst model, Logistic model, SES and other classical prediction methods, the GT-FGM model shows significant forecasting advantages, and its multi-step rolling prediction accuracy is superior to other prediction methods. The results show that the elderly population density in nine districts in Shanghai will exceed 0.5 by 2030, among which Huangpu District has the highest elderly population density, reaching 0.6825. There has been a steady increase in the elderly population over the age of 60. CONCLUSIONS: The GT-FGM model can improve the prediction accuracy effectively. The elderly population in Shanghai shows a steady growth trend on the whole, and the differences between districts are obvious. The government should build a modern pension industry system according to the aging degree of the population in each region, and promote the balanced development of each region.

Research on layout model and construction planning of aged care institutions for disabled elders in China: based on Nanjing city data.

BACKGROUND: To meet the needs of diversified pension services and the construction of aged care institutions is one of the urgent livelihood issues in China. Under the major national needs of pension and care for the elderly, it is necessary to optimize the allocation of pension and care for the elderly resources, and formulate operational coping strategies and optimization plans. It is of great significance to deal with the urgent problem of population aging in a timely and scientific way. METHODS: The economic benefits and social costs of aged care institutions are regarded as objective functions. To satisfy the economic benefits, it is necessary to reduce the social costs, and its construction quantity can only be an integer. The multi-objective genetic algorithm is improved with integer programming, and the global optimal solution is achieved after several times of searching. Under the multi-objective optimization model, the improved genetic algorithm was combined with the superior and inferior solution distance method to solve the genetic algorithm, and the corresponding objective function value was obtained after rounding. Finally, Pareto optimal solution set is selected by multi-objective decision, and the result of construction planning is obtained. RESULTS: Based on multi-attribute decision analysis and taking three years as the construction cycle, the planning scheme of aged care institutions construction in each district of Nanjing in the next 15 years was proposed. In addition, considering the intelligent trend of future pension, the proportion of home-based pension is increasing year by year, and the model is promoted to meet the needs of diversified pension services. With the gradual increase of the elderly population in Nanjing, the proportion of intelligent home-based care has been increasing year by year since 2027, and the construction demand of aged care institutions has also increased. The number of construction at all levels rises gradually in each cycle, and the increase is more obvious after 2027. CONCLUSIONS: The layout and planning of aged care institutions proposed in this paper not only considers economic and environmental benefits, but also combines the current situation of aged care institutions in various districts of Nanjing. The model is reasonable and effective, and has practical application value. It will help China optimize the allocation of elderly care resources under the target of active aging, and scientifically and comprehensively deal with the problem of population aging.

A novel viscosity-sensitive fluorescent probe for monitoring the changes of mitochondrial viscosity.

As a fundamental physical parameter, viscosity influences the diffusion in biological processes. The changes in intracellular viscosity led to the occurrence of relevant diseases. Monitoring changes in cellular viscosity is important for distinguishing abnormal cells in cell biology and oncologic pathology. Here, we devised and synthesized a viscosity-sensitive fluorescent probe LBX-1. LBX-1 showed high sensitivity, providing a large Stokes shift as well as an enhancement in fluorescent intensity (16.1-fold) from methanol solution to glycerol solution. Furthermore, the probe LBX-1 could localize in mitochondria because of the ability of the probe to penetrate the cell membrane and accumulate in mitochondria. These results suggested that the probe could be utilized in monitoring the changes in mitochondrial viscosity in complex biological systems.

Alleviation of iron deficiency in pear by ammonium nitrate and nitric oxide.

BACKGROUND: Iron is essential for the growth and development of trace elements in plants, and iron deficiency can lead to leaf chlorosis. Ammonium and nitrate are the major forms of nitrogen present in soils. Ammonium nitrate alleviates the chlorosis of leaves caused by iron deficiency, but the mechanism is not clear in pear. RESULTS: Ammonium nitrate induced the increase of nitric oxide (NO) under iron deficiency. We further analyzed the effect of NO by exogenous NO treatment. The results showed that ammonium nitrate and NO increased the activity of ferric chelate reductase. NO induced the expression of multiple IRT genes and promoted the transmembrane transport of irons. Ammonium nitrate and NO promoted the activity of nitrogen assimilation-related enzymes and the nitrogen absorption capacity, and they also increased glutamine synthetase activity. Finally, ammonium nitrate and NO increased chlorophyll synthesis, with subsequent increase in the photosynthetic capacity of plants and accumulation of biomass. CONCLUSION: Ammonium nitrate indirectly alleviates the symptoms of plant yellowing by promoting the increase of NO, which increases the response of iron transporters. Both substances increase the nitrogen accumulation in plants. This study demonstrates a new option for minimizing Fe deficiency by regulating the balance between nutrients.

The chrysanthemum DEAD-box RNA helicase CmRH56 regulates rhizome outgrowth in response to drought stress.

Plants have evolved complex mechanisms to reprogram growth in response to drought stress. In herbaceous perennial plant species, the rhizome, which is normally an organ for propagation and food storage, can also support plant growth in stressful environments, and allows the plant to perennate and survive stress damage. However, the mechanisms that regulate rhizome growth in perennial herbs during abiotic stresses are unknown. Here, we identified a chrysanthemum (Chrysanthemum morifolium) DEAD-box RNA helicase gene, CmRH56, that is specifically expressed in the rhizome shoot apex. Knock down of CmRH56 transcript levels decreased the number of rhizomes and enhanced drought stress tolerance. We determined that CmRH56 represses the expression of a putative gibberellin (GA) catabolic gene, GA2 oxidase6 (CmGA2ox6). Exogenous GA treatment and silencing of CmGA2ox6 resulted in more rhizomes. These results demonstrate that CmRH56 suppresses rhizome outgrowth under drought stress conditions by blocking GA biosynthesis.

Clinicopathological characteristics and survival outcomes in human papillomavirus independent cervical cancer: a propensity score matched analysis.

OBJECTIVE: To investigate the clinicopathological characteristics and overall survival in high-risk human papillomavirus (HPV)-independent and HPV-associated cervical cancer. METHODS: Patients with cervical cancer hospitalized between September 2015 and December 2019 from the Affiliated Cancer Hospital of Guizhou Medical University were enrolled. First, patients with negative results by HPV primary screening were excluded. Second, the paraffin-embedded tumor tissues from patients with negative results were used for extraction of deoxyribonucleic acid (DNA). The Hybribio K-37 test (PCR and flow-through hybridization for 37 types of HPV) was used to further identify HPV-negative infection status. Finally, 1:4 propensity score matching between high-risk HPV-independent and HPV-associated groups was performed, and the clinicopathological characteristics and overall survival were compared between the two groups. RESULTS: Forty cervical HPV primary screening negative patients were screened of 729 patients (5.5%). Among them, 13 (1.8%) patients who were identified with high-risk HPV-independent cervical cancer after the K-37 test were selected as the study group. There were significant intergroup differences in the distribution of International Federation of Gynecology and Obstetrics (FIGO, 2018) stage (χ2=5.825, p=0.016), pathological types (χ2=6.910, p=0.009), lymph node metastasis (χ2=6.168, p=0.013), and tumor size (χ2=5.319, p=0.021). After propensity score matching, 52 patients from the HPV-associated group were selected as the control group. Patients with high-risk HPV-independent cervical cancer had poorer prognosis than those with HPV-associated cervical cancer (median overall survival: 27 vs 29 months, p=0.03; median disease-free survival: 27 vs 29 months, p=0.021). CONCLUSION: Patients with high-risk HPV-independent cervical cancer more frequently had advanced stage disease, nodal metastasis, larger tumor, and a higher proportion of adenocarcinoma. The prognosis of patients with high-risk HPV-independent cervical cancer was poorer than those with HPV-associated cervical cancer.

Angucycline and angucyclinone derivatives from the marine-derived Streptomyces sp.

Atramycin C (1), one new angucycline bearing an O-6 rhamnose side chain, along with one new highly hydroxylated angucyclinone emycin G (2), and ten known analogs (3-12) were isolated from the marine-derived Streptomyces sp. strain BHB-032. Their structures were assigned by spectroscopic analysis and comparison with literature data. The absolute configuration of the sugar unit of 1 was assigned as 6-O-α-l-rhamnoside, based on the analysis of the coupling constants and chemical derivatization, whereas the absolute configuration of 2 was determined by X-ray diffraction. Furthermore, the stereochemistry of saccharothrixin A (3) and SNA-8073-A (4) was established unequivocally by X-ray crystallography for the first time. Compounds 1 and 2 exhibited moderate antimicrobial activities with minimum inhibitory concentration (MIC) values ranging from 16 to 64 µg/ml.

A risk prediction model mediated by genes of APOD/APOC1/SQLE associates with prognosis in cervical cancer.

Cervical cancer is one of the most common gynecological malignancies. Due to the high heterogeneity of cervical cancer accelerating cancer progression, it is necessary to identify new prognostic markers and treatment regimens for cervical cancer to improve patients' survival rates. We purpose to construct and verify a risk prediction model for cervical cancer patients. Based on the analysis of data from the Gene Expression Omnibus database (GEO) and The Cancer Genome Atlas (TCGA), differences of genes in normal and cancer samples were analyzed and then used analysis of WGCNA along with consistent clustering to construct single-factor + multi-factor risk models. After regression analysis, the target genes were obtained as prognostic genes and prognostic risk models were constructed, and the validity of the risk model was confirmed using the receiver operating characteristic curve (ROC) and Kaplan-Meier curve. Subsequently, the above model was verified on the GSE44001 data validation followed by independent prognostic analysis. Enrichment analysis was conducted by grouping the high and low risks of the model. In addition, differences in immune analysis (immune infiltration, immunotherapy), drug sensitivity, and other levels were counted by the high and low risks groups. In our study, three prognostic genes including APOD, APOC1, and SQLE were obtained, and a risk model was constructed along with validation based on the above-mentioned analysis. According to the model, immune correlation and immunotherapy analyses were carried out, which will provide a theoretical basis and reference value for the exploration and treatment of cervical cancer.

Bagging Strategy and Identification of Coloring Mode of 'Xinqihong' Pear.

'Xinqihong' is a recently selected and well-colored red pear (Pyrus bretschneideri Rehd.) cultivar that is popular in the marketplace owing to the bright red color and high quality of the fruit. The red pigmentation is strongly associated with the light signal. However, its responses to bagging treatment and to light exposure after shading are unknown. In this study, the fruit were treated with three types of fruit bags. 'Xinqihong' fruit colored rapidly in response to light stimulation. A white fruit bag was optimal for bagging of 'Xinqihong' fruit. To ensure satisfactory red pigmentation, the fruit required exposure to 30 days of light after bag removal. A transcriptome analysis was conducted to screen light-signal-related genes and identify their possible functions. PbCRY1 activated the promoter of PbHY5.2 and enhanced its expression. PbHY5.2 activated the promoter activity of PbUFGT and induced anthocyanin synthesis, and also showed self-activation characteristics. Both PbCRY2 and PbPHY1 induced anthocyanin accumulation. Thus, blue-light receptors played an important role in anthocyanin synthesis. This study provides a theoretical basis for the bagging cultivation of new varieties of 'Xinqihong', and lays a foundation for the study of the mechanisms of red pear fruit coloring in response to light signals.

Neobaicalein Inhibits Th17 Cell Differentiation Resulting in Recovery of Th17/Treg Ratio through Blocking STAT3 Signaling Activation.

Huangqin is the dried root of Scutellaria baicalensis Georgi, which has been widely utilized for heat-clearing (Qingre) and dewetting (Zaoshi), heat-killed (Xiehuo) and detoxifying (Jiedu) in the concept of Traditional Chinese Medicine and is used for treating inflammation and cancer in clinical formulas. Neobaicalein (NEO) is of flavonoid isolated from Huangqin and has been reported to possess prominent anti-inflammatory effects in published work. Th17/Treg balance shift to Th17 cells is an essential reason for autoimmune inflammatory diseases. However, the role NEO plays in Th17 and Treg and the underlying mechanism has not been elucidated yet. Network pharmacology-based study revealed that NEO predominantly regulated IL-17 signaling pathway. Moreover, our result shown that NEO (3-30 µmol/L) down-regulated Th17 differentiation and cellular supernatant and intracellular IL-17A level and tumor necrosis factor α production in a concentration-dependent manner. The further mechanism research revealed that NEO also specifically inhibited phosphorylation of STAT3(Tyr725) and STAT4 (Y693) without influence on activation of STAT5 and STAT6 in splenocytes. Immunofluorescence results illuminated that NEO effectively blocked STAT3 translocated into nucleus. Interestingly, NEO at appreciated dose could only inhibit Th17 cell differentiation and have no effect on Treg differentiation. The present study revealed that NEO effectively inhibited Th17 cell differentiation through specifically blocking the activation of STAT3 signaling without inactivation of STAT5 and STAT6. Additional inhibitory effect on activation of STAT4 by NEO also suggested the potential for antagonism against Th1 differentiation. All work suggested that NEO may be a potential candidate for immunoregulation and treating autoimmune inflammatory diseases through inhibiting immune cell viability and T cell differentiation.

Tumor-Microenvironment-Responsive Biodegradable Nanoagents Based on Lanthanide Nucleotide Self-Assemblies toward Precise Cancer Therapy.

Stimuli-responsive nanoagents, which simultaneously satisfy normal tissue clearance and tumor-specific responsive treatment, are highly attractive for precise cancer theranostics. Herein, we develop a unique template-induced self-assembly strategy for the exquisitely controlled synthesis of self-assembled lanthanide (Ln3+ ) nucleotide nanoparticles (LNNPs) with amorphous structure and tunable size from sub-5 nm to 105 nm. By virtue of the low-temperature (10 K) and high-resolution spectroscopy, the local site symmetry of Ln3+ in LNNPs is unraveled for the first time. The proposed LNNPs are further demonstrated to possess the ability for highly efficient loading and tumor-microenvironment-responsive release of doxorubicin. Particularly, sub-5 nm LNNPs not only exhibit excellent biocompatibility and predominant renal-clearance performance, but also enable efficient tumor retention. These findings reveal the great potential of LNNPs as a new generation of therapeutic platform to overcome the dilemma between efficient therapy and long-term toxicity of nanoagents for future clinical applications.

Effects of m6A RNA methylation regulators on endometrial cancer.

BACKGROUND: The modification 6-methyladenine (m6 A) is the most common type in RNA methylation. Our study aims to explore the bioinformatic analysis of m6 A in endometrial cancer. METHODS: The expression of 23 m6 A RNA methylation regulators was compared through The Cancer Genome Atlas (TCGA) database among 406 endometrial tissue and 19 normal tissue samples. The Wilcoxon test was applied to compare the relationship between the clinicopathological characteristics and expression. Cox regressions were performed to identify the prognostic factors associated with overall survival. Gene ontology (GO) and Gene Set Enrichment Analysis (GSEA) were performed to evaluate the potential pathways. RESULTS: YTHDF2, HNRNPA2B1, HDRNPA2B1, YTHDF1, FMR1, IGF2BP3, METTL13, RBM15B, IGF2BP1, YTHDF3, YTHDC1, ZC3H13 IGF2BP2, KIAA1429, METTL14, RBMX, FTO, ALKBH5, and METTL16 were significantly abnormally expressed in endometrial cancer tissue samples. Both univariate and multivariate Cox regression analyses indicated that age, grade, and risk score were independent risk factors. High expression of FTO was associated with worse overall survival. CONCLUSION: M6 A RNA methylation regulators play vital role in endometrial cancer.

Predicting the trend of infectious diseases using grey self-memory system model: a case study of the incidence of tuberculosis.

OBJECTIVES: The prediction and early warning of infectious diseases is an important work in the field of public health. This study constructed the grey self-memory system model to predict the incidence trend of infectious diseases affected by many uncertain factors. STUDY DESIGN: The design of this study is a combination of the prediction method and empirical analysis. METHODS: By organically coupling the self-memory algorithm with the mean GM(1,1) model, the tuberculosis incidence statistics of China from 2004 to 2018 were selected for prediction analysis. Meanwhile, by comparing with the other traditional prediction methods, three representative accuracy check indexes (MSE, AME, MAPE) were conducting for error analysis. RESULTS: Owing to the multiple time-points initial fields, which replace the single time-points, the limitation of the traditional grey prediction model, which is sensitive to the initial value, is overcome in the self-memory equation. Consequently, compared with the mean GM model and other statistical methods, the grey self-memory model shows significant forecasting advantages, and its single-step rolling prediction accuracy is superior to other prediction methods. Therefore, the incidence of tuberculosis in China in the next year can be predicted as 55.30 (unit: 1/105). CONCLUSIONS: The grey self-memory system model can closely capture the individual random fluctuation in the whole evolution trend of the uncertain system. It is appropriate for predicting the future incidence trend of infectious diseases and is worth popularizing to other similar public health prediction problems.

First Report of Bacterial Rot Caused by Pantoea endophytica on Tobacco in Liuyang, China.

Tobacco, Nicotiana tabacum L., is produced largely in China (~1/3 of the global market). In the monsoon summer of 2020, tobacco plant petioles, where axillary buds were removed, became black-rotten, and thick ooze appeared, when squeezed. Lesions encompassed more than half of petiole circumference. Ten tobacco fields (100 plant/field) were investigated in Liuyang, China and 5% disease severity founded in each infected field (Fig. 1A, B, C). Six infected stalks leave of different tobacco were sampled from severe field in Liuyang (N28°21', E113°52') and were surface sterilized (1% sodium hypochlorite for 3 min.), rinsed thrice in sterile distilled water, grounded, and streaked on Luria Bertani agar (LBA). After 24 hours at 28ºC, circular and convex colonies appeared. Hundred colony from ten plates were picked, amplified, and sequenced with the primer 16S-27F/16S-1492R by colony PCR (Lane et al. 1991). 16S rRNA sequence from 100 colony were assembled and fell into two sequences, either similar to Leclercia sp. (86%), or Pantoea sp. (14%). Identification and homology search was done by BLASTn analysis against NCBI and the EzBio Cloud database (Yoon et al. 2017). The Pantoea isolate HN-23 (1,408 bp, MW405831) and the other 16S sequence of 13 Pantoea showed 99.57% identity to the type strain P. endophyitca 596T (PJRT0100022) based on the EzBio Cloud database to identify novel bacteria. Colonies of HN-23 were smooth, translucent, convex with entire margin on LBA, and 1mm and 3mm (diameter), white to yellow, after 24h and 48h (Fig.1 H, I), respectively but white (Fig.1 J, K) on Nutrient Agar (NA). Phenotype of HN-23 (S-1) was performed using API 20E and API ZYM system (bioMérieux, France) and found identical to P. endophytica 596T (Gao et al. 2019). Draft genome of HN-23 (size 4.96Mbp, total Scaffold 79, Scaf N50 218,098bp and Scaf N90 61,041bp) was studied by Illumina sequencing (JAFLWX000000000) and was found to have 98.24% nucleotide identity with the genome of P. endophytica type strain 596. Average nucleotide identity (ANI) values were calculated using Ortho ANIu algorithm (Yoon et al 2017a). HN-23 had 83.89% and 83.65% ANI with P. rodasii LMG26273T and P. dispersa CCUG25232T, respectively (S-2). Six tobacco seedlings (cultivar K326, 30cm height plants grown at greenhouse at 28℃ and 70-80% humidity) were injected by 20µl of culture (109 CFU/ml) of HN-23 and three with dominant species Leclercia sp. HN-7, and reisolated from infected tissues. Pathogenic tissue extract and sterile water were also used as positive and negative control, respectively and experiments were performed in triplicate. After 20h, symptoms of water-soaked decay appeared in the injected leaf axils (Fig. 1D). After 2 days, a severe rot is developed (Fig.1 E). Though, the controls were symptomless (Fig.1 F, G). The bacterium was then isolated from the rotten tissues and identity was confirmed by 16S rDNA sequencing, thus fulfilling Koch's postulates. This species was also reported as endophytes to be isolated from root, stem and leaf of maize planted in diverse parts of China and identified as P. endophytica. To our knowledge, this is the first report of P. endophytica as a plant pathogen, which was firstly isolated from Tobacco planted in southern China.

Engineering the Bandgap and Surface Structure of CsPbCl3 Nanocrystals to Achieve Efficient Ultraviolet Luminescence.

Herein, we report the design of novel ultraviolet luminescent CsPbCl3 nanocrystals (NCs) with the emission peak at 381 nm through doping of cadmium ions. Subsequently, a surface passivation strategy with CdCl2 is adopted to improve their photoluminescence quantum yield (PLQY) with the maximum value of 60.5 %, which is 67 times higher than that of the pristine counterparts. The PLQY of the surface passivated NCs remains over 50 % after one week while the pristine NCs show negligible emission. By virtue of density functional theory calculations, we reveal that the higher PLQY and better stability after surface passivation may result from the significant elimination of surface chloride vacancy (VCl ) defects. These findings provide fundamental insights into the optical manipulation of metal ion-doped CsPbCl3 NCs.