TGF-ß1/SMAD3 Regulates Programmed Cell Death 5 That Suppresses Cardiac Fibrosis Post-Myocardial Infarction by Inhibiting HDAC3.

BACKGROUND: Progressive cardiac fibrosis leads to ventricular wall stiffness, cardiac dysfunction, and eventually heart failure, but the underlying mechanism remains unexplored. PDCD5 (programmed cell death 5) ubiquitously expresses in tissues, including the heart; however, the role of PDCD5 in cardiac fibrosis is largely unknown. Therefore, this study aims at exploring the possible role and underlying mechanisms of PDCD5 in the pathogenesis of cardiac fibrosis. METHODS AND RESULTS: PDCD5 levels were found to be elevated in the serum obtained from patients with cardiac fibrosis, in fibrotic mice heart tissues after myocardial infarction, and in cardiac fibroblasts stimulated by Ang II (angiotensin II)- or TGF-ß1 (transforming growth factor-ß1). Overexpression of PDCD5 in cardiac fibroblasts or treatment with PDCD5 protein reduced the expression of profibrogenic proteins in response to TGF-ß1 stimulation, while knockdown of PDCD5 increased fibrotic responses. It has been demonstrated that SMAD3, a protein that is also known as mothers against decapentaplegic homolog 3, directly upregulated PDCD5 during cardiac fibrosis. Subsequently, the increased PDCD5 promoted HDAC3 (histone deacetylase 3) ubiquitination, thus, inhibiting HDAC3 to reduce fibrotic responses. Fibroblast-specific knock-in of PDCD5 in mice ameliorated cardiac fibrosis after myocardial infarction and enhanced cardiac function, and these protective effects were eliminated by AAV9-mediated HDAC3 overexpression. CONCLUSIONS: The findings of this study demonstrated that PDCD5 is upregulated by SMAD3 during cardiac fibrosis, which subsequently ameliorated progressive fibrosis and cardiac dysfunction through HDAC3 inhibition. Thus, this study suggests that PDCD5 functions as a negative feedback factor on fibrotic signaling pathways and might serve as a potential therapeutic target to suppress the progression of fibrotic responses.

Quantum Melting of Generalized Wigner Crystals in Transition Metal Dichalcogenide Moiré Systems.

The generalized Wigner crystal (GWC) is a novel quantum phase of matter driven by further-range interaction at fractional fillings of a lattice. The role of further-range interaction as the driver for the incompressible state is akin to the Wigner crystal. On the other hand, the significant role of commensurate filling is akin to the Mott insulator. Recent progress in simulator platforms presents unprecedented opportunities to investigate quantum melting in the strongly interacting regime through synergy between theory and experiments. However, the earlier theory literature presents diverging predictions. We study the quantum freezing of GWC through large-scale density matrix renormalization group simulations of a triangular lattice extended Hubbard model. We find a single first-order phase transition between the Fermi liquid and the sqrt[3]×sqrt[3] GWC state. The GWC state shows long-range antiferromagnetic 120° Néel order. Our results present the simplest answers to the question of the quantum phase transition into the GWC phase and the properties of the GWC phase.

Realizing Bright-Dark Dual-Field Multimode Optical Signals in Photochromic Apatite Phosphors for Security Identification.

Regulating defect distribution in inorganic phosphors is paramount for realizing multimode dual-field optical signals for high security level identification but remains an ongoing challenge. Here, we propose a strategy of equivalent anion doping and nonequivalent cation doping to successfully regulate the trap distribution and density in Ba5(PO4)3Cl:F-,Eu2+,Ce3+ (BPCF-AG) phosphors. Due to the coexistence of shallow and deep traps for different photon processes, the BPCF-AG exhibits simultaneous photochromism in a bright field and tetramode luminescence (photoluminescence, afterglow, 980 nm photostimulated luminescence, and 650/532 nm photostimulated afterglow) in a dark field. The trap roles responsible for versatile optical behaviors are investigated by thermoluminescence curves, and a reasonable mechanism is proposed. In addition, we design a series of demonstrations for security identification and information encryption based on the dual-field multimode optical signals of BPCF-AG to illustrate its potential application scenarios.

Recent advance of ATP citrate lyase inhibitors for the treatment of cancer and related diseases.

ATP citrate lyase (ACLY), a strategic metabolic enzyme that catalyzes the glycolytic to lipidic metabolism, has gained increasing attention as an attractive therapeutic target for hyperlipidemia, cancers and other human diseases. Despite of continual research efforts, targeting ACLY has been very challenging. In this field, most reported ACLY inhibitors are "substrate-like" analogues, which occupied with the same active pockets. Besides, some ACLY inhibitors have been disclosed through biochemical screening or high throughput virtual screening. In this review, we briefly summarized the cancer-related functions and the recent advance of ACLY inhibitors with a particular focus on the SAR studies and their modes of action. We hope to provide a timely and updated overview of ACLY and the discovery of new ACLY inhibitors.

BBOF1 is required for sperm motility and male fertility by stabilizing the flagellar axoneme in mice.

The sperm flagellum is a specialized type of motile cilium composed of a typical "9 + 2" axonemal structure with peri-axonemal structures, such as outer dense fibers (ODFs). This flagellar arrangement is crucial for sperm movement and fertilization. However, the association of axonemal integrity with ODFs remains poorly understood. Here, we demonstrate that mouse BBOF1 could interact with both MNS1, an axonemal component, and ODF2, an ODF protein, and is required for sperm flagellar axoneme maintenance and male fertility. BBOF1 is expressed exclusively in male germ cells from the pachytene stage onwards and is detected in sperm axoneme fraction. Spermatozoa derived from Bbof1-knockout mice exhibit a normal morphology, however, reduced motility due to the absence of certain microtubule doublets, resulting in the failure to fertilize mature oocytes. Furthermore, BBOF1 is found to interact with ODF2 and MNS1 and is also required for their stability. Our findings in mice suggest that Bbof1 could also be essential for human sperm motility and male fertility, thus is a novel potential candidate gene for asthenozoospermia diagnosis.

In silico prediction of ocular toxicity of compounds using explainable machine learning and deep learning approaches.

The accurate identification of chemicals with ocular toxicity is of paramount importance in health hazard assessment. In contemporary chemical toxicology, there is a growing emphasis on refining, reducing, and replacing animal testing in safety evaluations. Therefore, the development of robust computational tools is crucial for regulatory applications. The performance of predictive models is heavily reliant on the quality and quantity of data. In this investigation, we amalgamated the most extensive dataset (4901 compounds) sourced from governmental GHS-compliant databases and literature to develop binary classification models of chemical ocular toxicity. We employed 12 molecular representations in conjunction with six machine learning algorithms and two deep learning algorithms to create a series of binary classification models. The findings indicated that the deep learning method GCN outperformed the machine learning models in cross-validation, achieving an impressive AUC of 0.915. However, the top-performing machine learning model (RF-Descriptor) demonstrated excellent performance with an AUC of 0.869 on the test set and was therefore selected as the best model. To enhance model interpretability, we conducted the SHAP method and attention weights analysis. The two approaches offered visual depictions of the relevance of key descriptors and substructures in predicting ocular toxicity of chemicals. Thus, we successfully struck a delicate balance between data quality and model interpretability, rendering our model valuable for predicting and comprehending potential ocular-toxic compounds in the early stages of drug discovery.

Effects of Low-Intensity Pulsed Ultrasound on the Regulation of Free Fatty Acid Release in 3T3-L1 Cells.

OBJECTIVES: To investigate the effects of low-intensity pulsed ultrasound (LIPUS) on the proliferation, differentiation, and tumor necrosis factor-α (TNF-α)-induced lipolysis of 3T3-L1 cells, and to explore the feasibility of regulating the release of free fatty acids (FFA) to prevent lipotoxicity. METHODS: Different intensities (30, 60, 90, and 120 mW/cm2) of LIPUS were applied to 3T3-L1 preadipocytes for different durations (5, 10, 15, 20, 25, and 30 minutes). Appropriate parameters for subsequent experiments were selected by assessing cell viability. The effect of LIPUS on the proliferation and differentiation of 3T3-L1 cells was evaluated by microscope observation, flow cytometry, and lipid content determination. After treated with LIPUS and TNF-α (50 ng/mL), the degree of lipolysis was assessed by measuring the extracellular FFA content. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect the mRNA expression of relevant genes. RESULTS: Different parameters of LIPUS significantly enhance the viability of 3T3-L1 cells (P < .05), with 20 minutes and 30 mW/cm2 as the most suitable settings. After LIPUS treatment, 3T3-L1 cell proliferation accelerated, apoptosis rate and G1 phase cell proportion decreased, the content of lipid droplets and TG was increased in differentiated cells, while FFA release decreased (P < .05). The expression of PCNA, PPARγ, C/EBPα, Perilipin A mRNA increased, and the expression of TNF-α, ATGL, HSL mRNA decreased (P < .05). CONCLUSIONS: LIPUS could promote the proliferation and differentiation of 3T3-L1 cells and inhibit TNF-α-induced lipolysis, indicating its potential as a therapy for mitigating lipotoxicity caused by decompensated adipocytes.

Fluorinated plant activators induced dual-pathway signal transduction and long-lasting ROS burst in chloroplast.

Synthetic plant activators represent a promising novel class of green pesticides that can triggering endogenous plant immunity against pathogen invasion. In our previous study, we developed a series of fluorinated compounds capable of eliciting disease resistance in plants; however, the underlying regulatory mechanisms remained unclear. In this study, we systematically investigated the mechanism of plant immune activation using four synthetic plant activators in Arabidopsis thaliana (A. thaliana), including two fluorine-substituted and two non­fluorine-substituted molecules. Our findings revealed that the fluorinated compounds exhibited superior disease resistance activity compared to the non-fluorinated molecules. Gene expression analysis in systemic acquired resistance (SAR)- and induced systemic resistance (ISR)-related pathways demonstrated that fluorine substitution effectively regulated both SAR- and ISR-pathway activation, highlighting the distinct roles of fluorine in modulating the plant immune system. Notably, the prolonged ROS burst was observed in chloroplasts following treatment with all four plant activators, contrasting with the transient ROS burst induced by natural elicitors. These results provide insights into the unique mechanisms underlying synthetic plant activator-induced plant immunity. Furthermore, comprehensive proteomic analysis revealed a robust immune response mediated by fluorine-substituted plant activators. These findings offer novel insights into the role of fluorine substitution in SAR- and ISR-associated immune signaling pathways and their distinct impact on ROS production within chloroplasts.

Extent and Resistance Patterns of Gram-negative Bacteria Isolated From 13 Hospitals in Shaoxing, Zhejiang Province.

Gram-negative bacteria are increasingly recognized as the sauce of severe infections. In recent years, epidemiological data has indicated that the drug resistance rate of Gram-negative bacteria has significantly increased. We analyzed the epidemiological surveillance data of gram-negative bacteria in Shaoxing City in 2021 by retrospectively collecting drug susceptibility data of Escherichia coli, Klebsiella pneumoniae, Proteus mirabilis, Enterobacter cloacae, Pseudomonas aeruginosa, Acinetobacter baumannii, and Burkholderia cepacian from thirteen tertiary hospitals. A total of 24,142 strains were collected from thirteen hospitals. The isolation rates of E. coli, K. pneumoniae, P. aeruginosa, A. baumannii, P. mirabilis, E. cloacae, and B. cepacian were 29.25%, 18.83%, 11.03%, 8.43%, 3.80%, 3.12%, and 0.75%, respectively. Among them, 2.86% were carbapenem-resistant E. coli, 12.98% were CRKP, 31.27% were CRPA, and 34.77% were CRAB. Carbapenem-resistant Enterobacterales were more sensitive to ceftazidime-avibactam and polymyxin. The drug resistance rates of P. aeruginosa and A. baumannii to polymyxin were 0 and 1.3%, but the resistance rates to ceftazidime-avibactam were 10.5% and 26.0%, respectively. Based on results from epidemiological data, CRKP had a high isolation rate and non-fermenting bacteria had a high resistance rate to ceftazidime-avibactam. All hospitals should strengthen monitoring and enact continuous intervention to reduce the generation and spread of drug-resistant bacteria.

Attention-Guided Sample-Based Feature Enhancement Network for Crowded Pedestrian Detection Using Vision Sensors.

Occlusion presents a major obstacle in the development of pedestrian detection technologies utilizing computer vision. This challenge includes both inter-class occlusion caused by environmental objects obscuring pedestrians, and intra-class occlusion resulting from interactions between pedestrians. In complex and variable urban settings, these compounded occlusion patterns critically limit the efficacy of both one-stage and two-stage pedestrian detectors, leading to suboptimal detection performance. To address this, we introduce a novel architecture termed the Attention-Guided Feature Enhancement Network (AGFEN), designed within the deep convolutional neural network framework. AGFEN improves the semantic information of high-level features by mapping it onto low-level feature details through sampling, creating an effect comparable to mask modulation. This technique enhances both channel-level and spatial-level features concurrently without incurring additional annotation costs. Furthermore, we transition from a traditional one-to-one correspondence between proposals and predictions to a one-to-multiple paradigm, facilitating non-maximum suppression using the prediction set as the fundamental unit. Additionally, we integrate these methodologies by aggregating local features between regions of interest (RoI) through the reuse of classification weights, effectively mitigating false positives. Our experimental evaluations on three widely used datasets demonstrate that AGFEN achieves a 2.38% improvement over the baseline detector on the CrowdHuman dataset, underscoring its effectiveness and potential for advancing pedestrian detection technologies.

Revealing the role of Peg13: A promising therapeutic target for mitigating inflammation in sepsis.

To investigate the role of Peg13 in modulating the inflammatory response in sepsis, we established Lipopolysaccharide (LPS)-induced 293T cells and mouse models. Peg13 expression was assessed at various time points after infection using RT-qPCR. The levels of high mobility group box 1 (HMGB1) and interleukin-6 (IL-6) were quantified through ELISA. A total of 44 septic patients and 36 healthy participants were recruited to measure Peg13 and HMGB1 levels in the blood. Peg13 demonstrated significant down-regulation in the supernatant of LPS-induced 293T cells and in the blood of LPS-induced mice. Moreover, the levels of proinflammatory cytokines HMGB1 and IL-6 were elevated in both the supernatant of LPS-induced cell models and blood specimens from LPS-induced murine models, and this elevation could be notably reduced by Peg13 suppression. In a clinical context, Peg13 and HMGB1 levels were higher in septic patients compared to healthy subjects. Peg13 exhibited a negative correlation with HMGB1, C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR) among septic patients. Peg13 mitigates the inflammatory response by reducing the release of proinflammatory cytokines HMGB1 and IL-6 in sepsis, presenting a potential therapeutic target for alleviating inflammation in sepsis treatment.

CMTM3 deficiency induces cardiac hypertrophy by regulating MAPK/ERK signaling.

OBJECTIVES: Cardiac hypertrophy is the heart's compensatory response stimulated by various pathophysiological factors. However, prolonged cardiac hypertrophy poses a significant risk of progression to heart failure, lethal arrhythmias, and even sudden cardiac death. For this reason, it is crucial to effectively prevent the occurrence and development of cardiac hypertrophy. CMTM is a superfamily of human chemotaxis, which is involved in immune response and tumorigenesis. CMTM3 expressed widely in tissues, including the heart, but its cardiac function remains unclear. This research aims to explore the effect and mechanism of CMTM3 in the development of cardiac hypertrophy. METHODS AND RESULTS: We generated a Cmtm3 knockout mouse model (Cmtm3-/-) as the loss-of-function approach. CMTM3 deficiency induced cardiac hypertrophy and further exacerbated hypertrophy and cardiac dysfunction stimulated by Angiotensin Ⅱ infusion. In Ang Ⅱ-infusion stimulated hypertrophic hearts and phenylephrine-induced hypertrophic neonatal cardiomyocytes, CMTM3 expression significantly increased. However, adenovirus-mediated overexpression of CMTM3 inhibited the hypertrophy of rat neonatal cardiomyocytes induced by PE stimulation. In terms of mechanism, RNA-seq data revealed that Cmtm3 knockout-induced cardiac hypertrophy was related to MAPK/ERK activation. In vitro, CMTM3 overexpression significantly inhibited the increased phosphorylation of p38 and ERK induced by PE stimulation. CONCLUSIONS: CMTM3 deficiency induces cardiac hypertrophy and aggravates hypertrophy and impaired cardiac function stimulated by angiotensin Ⅱ infusion. The expression of CMTM3 increases during cardiac hypertrophy, and the increased CMTM3 can inhibit further hypertrophy of cardiomyocytes by inhibiting MAPK signaling. Thus, CMTM3 plays a negative regulatory effect in the occurrence and development of cardiac hypertrophy.

Broadband UV-Excitation and Red/Far-Red Emission Materials for Plant Growth: Tunable Spectrum Conversion in Eu3+,Mn4+ Co-doped LaAl0.7Ga0.3O3 Phosphors.

Broadband ultraviolet (UV) excitation and red/far-red emission phosphors can effectively convert solar spectrum to enhance photosynthesis and promote morphogenesis in plants. Based on the above application requirements, Eu3+ single-doped LaAl1-yGayO3 solid solutions and Eu3+,Mn4+ codoped LaAl0.7Ga0.3O3 phosphors were designed and synthesized in this work. The LaAl0.7Ga0.3O3:0.05Eu3+ (LAG:Eu3+) phosphor exhibits a strong charge transfer band (CTB) excitation and characteristic 5D0 → 7F2 transition red emission (619 nm), which is very similar to the luminescence properties of Eu3+-organic ligand compound (EuL3). Rietveld refinement studies further revealed that the cation substitution disturbs the site symmetry. The optimal Eu3+, Mn4+ co-doped LaAl0.7Ga0.3O3 (LAG:Eu,Mn) phosphor possesses a dual-band excitation spectrum in broadband ultraviolet (UVA, UVB) area and a dual-band emission spectrum within red/far-red area. Under the sunlight radiation, the real-time spectrum of luminous laminated glasses fabricated by coating the LAG:Eu,Mn phosphor shows the percentage of radiant intensity in the red/far-red region significantly increases, suggesting that the phosphor can be a promising candidate for solar spectral conversion in plant cultivation. We believe this work provides a new idea for developing novel broadband ultraviolet excitation and red/far-red emission phosphors.

PyQMC: An all-Python real-space quantum Monte Carlo module in PySCF.

We describe a new open-source Python-based package for high accuracy correlated electron calculations using quantum Monte Carlo (QMC) in real space: PyQMC. PyQMC implements modern versions of QMC algorithms in an accessible format, enabling algorithmic development and easy implementation of complex workflows. Tight integration with the PySCF environment allows for a simple comparison between QMC calculations and other many-body wave function techniques, as well as access to high accuracy trial wave functions.

Prophage Tracer: precisely tracing prophages in prokaryotic genomes using overlapping split-read alignment.

The life cycle of temperate phages includes a lysogenic cycle stage when the phage integrates into the host genome and becomes a prophage. However, the identification of prophages that are highly divergent from known phages remains challenging. In this study, by taking advantage of the lysis-lysogeny switch of temperate phages, we designed Prophage Tracer, a tool for recognizing active prophages in prokaryotic genomes using short-read sequencing data, independent of phage gene similarity searching. Prophage Tracer uses the criterion of overlapping split-read alignment to recognize discriminative reads that contain bacterial (attB) and phage (attP) att sites representing prophage excision signals. Performance testing showed that Prophage Tracer could predict known prophages with precise boundaries, as well as novel prophages. Two novel prophages, dsDNA and ssDNA, encoding highly divergent major capsid proteins, were identified in coral-associated bacteria. Prophage Tracer is a reliable data mining tool for the identification of novel temperate phages and mobile genetic elements. The code for the Prophage Tracer is publicly available at https://github.com/WangLab-SCSIO/Prophage_Tracer.

Xenogeneic silencing relies on temperature-dependent phosphorylation of the host H-NS protein in Shewanella.

Lateral gene transfer (LGT) plays a key role in shaping the genome evolution and environmental adaptation of bacteria. Xenogeneic silencing is crucial to ensure the safe acquisition of LGT genes into host pre-existing regulatory networks. We previously found that the host nucleoid structuring protein (H-NS) silences prophage CP4So at warm temperatures yet enables this prophage to excise at cold temperatures in Shewanella oneidensis. However, whether H-NS silences other genes and how bacteria modulate H-NS to regulate the expression of genes have not been fully elucidated. In this study, we discovered that the H-NS silences many LGT genes and the xenogeneic silencing of H-NS relies on a temperature-dependent phosphorylation at warm temperatures in S. oneidensis. Specifically, phosphorylation of H-NS at Ser42 is critical for silencing the cold-inducible genes including the excisionase of CP4So prophage, a cold shock protein, and a stress-related chemosensory system. By contrast, nonphosphorylated H-NS derepresses the promoter activity of these genes/operons to enable their expression at cold temperatures. Taken together, our results reveal that the posttranslational modification of H-NS can function as a regulatory switch to control LGT gene expression in host genomes to enable the host bacterium to react and thrive when environmental temperature changes.

Hepsin enhances liver metabolism and inhibits adipocyte browning in mice.

Hepsin is a transmembrane serine protease primarily expressed in the liver. To date, the physiological function of hepsin remains poorly defined. Here we report that hepsin-deficient mice have low levels of blood glucose and lipids and liver glycogen, but increased adipose tissue browning and basal metabolic rates. The phenotype is caused by reduced hepatocyte growth factor activation and impaired Met signaling, resulting in decreased liver glucose and lipid metabolism and enhanced adipocyte browning. Hepsin-deficient mice exhibit marked resistance to high-fat diet-induced obesity, hyperglycemia, and hyperlipidemia. In db/db mice, hepsin deficiency ameliorates obesity and diabetes. These data indicate that hepsin is a key regulator in liver metabolism and energy homeostasis, suggesting that hepsin could be a therapeutic target for treating obesity and diabetes.

Molecular Epidemiology and Virulence Gene Analysis of Methicillin-Resistant Staphylococcus aureus Associated with Skin and Soft Tissue Infections in the Shaoxing Region.

Objective: This study aimed to investigate the prevalence, molecular types, and virulence genes of methicillin-resistant Staphylococcus aureus (MRSA) causing skin and soft tissue infections (SSTIs) in the Shaoxing region. Methods: MRSA strains were collected from patients with SSTIs in Shaoxing People's Hospital from January 2019 to December 2019. We conducted SCCmec typing, Staphylococcus protein A (SPA) typing, multilocus sequence typing (MLST), and virulence gene analysis using whole-genome sequencing on all MRSA strains. Results: The detection rate of community-acquired MRSA (CA-MRSA) isolated from SSTI patients in our hospital was 33.3% (6/18). The primary SCCmec types of CA-MRSA strains were IV and V, with IVg(2B) and V(5C2&5) accounting for 16.7% each. Hospital-acquired MRSA (HA-MRSA) strains primarily exhibited SCCmec types IVa(2B) (25.0%), followed by II(2A) (16.7%), V(5C2) (16.7%), and V(5C2&5) (8.3%). SPA typing indicated that CA-MRSA strains causing SSTIs were predominantly t437 (14.3%), t034 (14.3%), t309 (14.3%), t4549 (14.3%), and t7637 (14.3%). The primary SPA type of HA-MRSA strains was t311 (16.7%). MLST typing revealed that the main sequence types (STs) of CA-MRSA strains causing SSTIs were ST22 (33.3%), followed by ST398, ST59, ST88, and ST630, each accounting for 16.7%. The principal STs of HA-MRSA strains were ST398 (16.7%), ST59 (16.7%), ST88 (16.7%), and ST5 (16.7%), followed by ST22, ST630, ST6, and ST188, each at 8.3%. The primary clones of CA-MRSA strains causing SSTIs were ST59-t437-IVg(2B) (16.7%) and ST630-t4549-V(5C2&5) (16.7%), while the primary clones of HA-MRSA strains were ST59-t437-IVa(2B), ST630-t4549-V(5C2&5), ST6-t304-IVa(2B), ST5-t311-II(2A), ST59-t172-IVa(2B), ST398-t571-V(5C2), ST398-t034-V(5C2), and ST5-t311-II(2A), each accounting for 8.3%. The detection rate of the lukSF-PV virulence gene was higher in CA-MRSA strains (50.0%) than in HA-MRSA strains (16.7%). Conclusions: The isolation rate of CA-MRSA strains causing SSTIs was high in Shaoxing People's Hospital, with ST59-t437-IVg(2B) and ST630-t4549-V(5C2&5) being the predominant clones. MRSA strains exhibited multiple virulence genes, with the lukSF-PV gene having a higher detection rate in CA-MRSA strains, signifying its importance as a virulence factor in CA-MRSA.

Quantum Phases of Transition Metal Dichalcogenide Moiré Systems.

Moiré systems provide a rich platform for studies of strong correlation physics. Recent experiments on heterobilayer transition metal dichalcogenide Moiré systems are exciting in that they manifest a relatively simple model system of an extended Hubbard model on a triangular lattice. Inspired by the prospect of the hetero-transition metal dichalcogenide Moiré system's potential as a solid-state-based quantum simulator, we explore the extended Hubbard model on the triangular lattice using the density matrix renormalization group. Specifically, we explore the two-dimensional phase space spanned by the key tuning parameters in the extended Hubbard model, namely, the kinetic energy strength and the further-range Coulomb interaction strengths. We find competition between Fermi fluid, chiral spin liquid, spin density wave, and charge order. In particular, our finding of the optimal further-range interaction for the chiral correlation presents a tantalizing possibility.

Microbacterium sulfonylureivorans sp. nov., isolated from sulfonylurea herbicides degrading consortium.

A novel Gram-stain positive, aerobic, motile, rod-shaped bacterium, designated strain LAM7116T was isolated from a sulfonylurea herbicides degrading consortium enriched with birch forest soil from Xinjiang. Phylogenetic analysis based on the 16S rRNA gene sequences indicated that strain LAM7116T was closely related to the members of the genus Microbacterium, with the highest similarity to Microbacterium flavescens DSM 20643T (98.48%) and Microbacterium kitamiense Kitami C2T (98.48%). Strain LAM7116T formed a distinct subclade with M. flavescens DSM 20643T within the genus Microbacterium in the 16S rRNA gene phylogenetic trees. The genomic DNA G + C content of LAM7116T was 69.9 mol%. The digital DNA-DNA hybridization (dDDH) value between strain LAM7116T and M. flavescens DSM 20643T was 27.20%. The average nucleotide identity (ANI) value was 83.96% by comparing the draft genome sequences of strain LAM7116T and M. flavescens DSM 20643T. The major fatty acids were anteiso-C15:0, anteiso-C17:0, iso-C17:0, and iso-C16:0. The respiratory menaquinones of strain LAM7116T were MK-13 and MK-14. The main polar lipids were diphosphatidylglycerol, phosphatidylglycerol, an unidentified lipid, and an unidentified glycolipid. The peptidoglycan contained the amino acids glycine, lysine, alanine, and glutamic acid. Based on the phenotypic characteristics and genotypic analyses, we consider that strain LAM7116T represents a novel species, for which the name Microbacterium sulfonylureivorans sp. nov. was proposed. The type strain is LAM7116T (= CGMCC 1.16620T = JCM 32823T). Strain LAM7116T secreted auxin IAA and grew well in Ashby nitrogen-free culture medium. Genomic results showed that strain LAM7116T carried the nitrogenase iron protein (nifU and nifR3) gene, which indicated that strain LAM7116T has the potential to fix nitrogen and promote plant growth. At same time, strain LAM7116T can degrade nicosulfuron (a kind of sulfonylurea herbicides) using glucose as carbon source. Microbacterium sulfonylureivorans sp. nov. LAM7116T is a potential candidate for the biofertilizers of organic agriculture areas, and may possess potential to be used in bioremediation of nicosulfuron-contaminated environments.