Numerical study on the uniform distribution of flow field of airflow dryer.

The uniformity of hot air flow inside the airflow dryer not only affects the moisture distribution at the outlet, but also affects the quality of the product. Based on the guide plate structure of the SH23A airflow tobacco dryer, a gradient curved guide plate dryer is designed, and the flow field distribution of the dryer is numerically investigated under different flow distribution conditions at the hot air inlet and flue gas inlet. The results show that the airflow uniformity is affected by the flow distribution at the inlet of the heated air and the inlet of the cigarette smoke, the structure of the guide plate, etc., the non-uniformity coefficient decreases with the increase of hot air inlet flow rate. The non-uniformity coefficient of tapered arc deflector decreases by 9-12 %.

A Novel Strain of Fusarium oxysporum Virus 1 Isolated from Fusarium oxysporum f. sp. niveum Strain X-GS16 Influences Phenotypes of F. oxysporum Strain HB-TS-YT-1hyg.

A novel strain of Fusarium oxysporum virus 1 (FoV1) was identified from the Fusarium oxysporum f. sp. niveum strain X-GS16 and designated as Fusarium oxysporum virus 1-FON (FoV1-FON). The full genome of FoV1-FON is 2902 bp in length and contains two non-overlapping open reading frames (ORFs), ORF1 and ORF2, encoding a protein with an unknown function (containing a typical -1 slippery motif G_GAU_UUU at the 3'-end) and a putative RNA-dependent RNA polymerase (RdRp), respectively. BLASTx search against the National Center for the Biotechnology Information (NCBI) non-redundant database showed that FoV1-FON had the highest identity (97.46%) with FoV1. Phylogenetic analysis further confirmed that FoV1-FON clustered with FoV1 in the proposed genus Unirnavirus. FoV1-FON could vertically transmit via spores. Moreover, FoV1-FON was transmitted horizontally from the F. oxysporum f. sp. niveum strain X-GS16 to the F. oxysporum strain HB-TS-YT-1hyg. This resulted in the acquisition of the F. oxysporum strain HB-TS-YT-1hyg-V carrying FoV1-FON. No significant differences were observed in the sporulation and dry weight of mycelial biomass between HB-TS-YT-1hyg and HB-TS-YT-1hyg-V. FoV1-FON infection significantly increased the mycelial growth of HB-TS-YT-1hyg, but decreased its virulence to potato tubers and sensitivity to difenoconazole, prochloraz, and pydiflumetofen. To our knowledge, this is the first report of hypovirulence and reduced sensitivity to difenoconazole, prochloraz, and pydiflumetofen in F. oxysporum due to FoV1-FON infection.

Complete genome sequence of a novel partitivirus with a dsRNA3 segment, isolated from Fusarium commune strain CP-SX-3 causing strawberry root rot.

A novel partitivirus, Fusarium commune partitivirus 1 (FcoPV1), was identified in Fusarium commune strain CP-SX-3 isolated from diseased roots of strawberry with symptoms of root rot. The complete genome of FcoPV1 comprises three double-stranded RNAs (dsRNAs): dsRNA1 (1,825 nt), dsRNA2 (1,592 nt), and dsRNA3 (1,421 nt). dsRNA1 contains a single open reading frame (ORF1) encoding an RNA-dependent RNA polymerase (RdRp), and dsRNA2 contains a single ORF (ORF2) encoding a coat protein (CP). dsRNA3 is a possible satellite RNA that does not appear to encode a known protein. BLASTp analysis revealed that RdRp (86.59%) and CP (74.13%) encoded by the two ORFs (ORF1 and ORF2) had the highest sequence similarity to their counterparts in Fusarium equiseti partitivirus 1 (FePV1). Phylogenetic analysis based on the complete amino acid sequence of RdRp suggested that FcoPV1 should be considered a member of a new species in the proposed genus "Zetapartitivirus" within the family Partitiviridae. To the best of our knowledge, this is the first report of a zetapartitivirus infecting phytopathogenic F. commune.

The effect of Ge doping concentration on the electrochemical performance of silicene anode for lithium-ion batteries: a first-principles study.

Two-dimensional materials have been considered as novel anode materials for LIBs because of their large surface area, small volume change, and low Li diffusion barrier. Among them, the two-dimensional material SixGey has many excellent properties as an anode. However, Ge is expensive and not suitable for mass production. Therefore, proper Ge doping is of great significance to improve performance and reduce cost. Herein, we systematically study the effect of Ge doping and its concentration on the structure and electrochemical performance of two-dimensional SixGey by density functional theory (DFT) calculations. The incorporation of low concentration Ge can improve the horizontal and vertical diffusion ability of Li atoms compared to silicene. However, excessive Ge will increase the horizontal diffusion energy barrier of Li and reduce the theoretical capacity, where Si6Ge2 has a relatively high theoretical capacity and a low diffusion energy barrier. In addition, fully lithiated 2D SixGey shows poor electrical conductivity and increasing Ge concentration seems to be effective in improving the electrical conductivity of the material. This study will provide significant theoretical guidance for the design and preparation of two-dimensional silicon-based materials.

Pathogenic fungi shape the fungal community, network complexity, and pathogenesis in kiwifruit.

Kiwifruit decay caused by endophytic fungi is affected by exogenous pathogens that trigger changes in fungal community composition and interact with the endophytic fungal community. Four fungal pathogens of kiwifruit were identified. These were Aspergillus japonicus, Aspergillus flavus, Botryosphaeria dothidea, and Penicillium oxalicum. Except for P. oxalicum, the remaining three species represent newly described pathogens of kiwifruit. All four fungal species caused disease and decay in mature kiwifruit. Results of the fungal community analysis indicated that three pathogens that A. japonicus, A. flavus and P. oxalicum were the most dominant, however, other fungal species that did not cause disease symptoms were also present. Positive interactions between fungal species were found in asymptomatic, symptomatic, and infected kiwifruit. The ability of all four pathogens to infect kiwifruit was confirmed in an inoculation experiment. The presence of any one of the four identified pathogens accelerated decay development and limited the postharvest longevity of harvested kiwifruit. Results of the study identified and confirmed the ability of four fungal species to infect and cause decay in harvested kiwifruit. Changes in the structure and composition of the kiwifruit microbiome during the decay process were also characterized. This provides a foundation for the further study of the microbiome of kiwifruit and their involvement in postharvest diseases.

Complete genome sequence of a novel virus isolated from the phytopathogenic fungus Ceratobasidium sp. AG-A strain SHX-YJLC-1.

A novel mycovirus, Ceratobasidium bipartite virus 1 (CBV1), was identified in Ceratobasidium sp. AG-A strain SHX-YJLC-1 isolated from diseased potato stems. The complete genome of CBV1 consists of two double-stranded RNA (dsRNA) segments: dsRNA1 (2311 bp) and dsRNA2 (1761 bp). dsRNA1 contains a single open reading frame (ORF1) encoding an RNA-dependent RNA polymerase (RdRp), while dsRNA2 contains a single ORF (ORF2) encoding a hypothetical protein (HP) with unknown function. BLASTp analysis revealed that RdRp (75.04%) and HP (61.86%) encoded by the two ORFs have the highest sequence similarity to their counterparts in Rhizoctonia solani dsRNA virus 11 (RsRV11). The genome organization and phylogenetic analysis indicated that the closest relatives to CBV1 are members of the proposed family "Bipartitiviridae". Based on the collective results, CBV1 is inferred to be a new member of the proposed family "Bipartitiviridae". This is the first report on the complete genome sequence of the novel bipartitivirus CBV1, which infects Ceratobasidium sp. AG-A strain SHX-YJLC-1.

Study on preparation and thermal properties of new inorganic eutectic binary composite phase change materials.

It is important to improve phase change materials (PCMs) with appropriate temperature and excessive latent heat to accelerate the application of latent heat energy storage technology in solar energy storage systems. In this paper, the eutectic salt of NH4Al(SO4)2·12H2O (AASD) and MgSO4·7H2O (MSH) was prepared and the performance was studied. The DSC results show that the optimum content of AASD in the binary eutectic salt is 55 wt%, the melting point was 76.4 °C, and the latent heat is up to 189.4 J g-1, which is suitable for solar power storage systems. Four nucleating agents (KAl(SO4)2·12H2O, MgCl2·6H2O, CaCl2·2H2O, CaF2) and two thickening agents (sodium alginate, soluble starch) are added to the mixture in varying proportions to improve its supercooling. The best combination system was 2.0 wt% KAl(SO4)2·12H2O/1.0 wt% sodium alginate with a supercooling degree of 24.3 °C. After thermal cycling tests, the best formulation of the AASD-MSH eutectic salt phase change material was determined to be 1.0 wt% CaCl2·2H2O/1.0 wt% soluble starch. The latent heat was 176.4 J g-1 and the melting point was 76.3 °C. The supercooling was still lower than 30 °C after 50 thermal cycles, which served as a benchmark for the next investigation.

DKADE: a novel framework based on deep learning and knowledge graph for identifying adverse drug events and related medications.

Adverse drug events (ADEs) are common in clinical practice and can cause significant harm to patients and increase resource use. Natural language processing (NLP) has been applied to automate ADE detection, but NLP systems become less adaptable when drug entities are missing or multiple medications are specified in clinical narratives. Additionally, no Chinese-language NLP system has been developed for ADE detection due to the complexity of Chinese semantics, despite ˃10 million cases of drug-related adverse events occurring annually in China. To address these challenges, we propose DKADE, a deep learning and knowledge graph-based framework for identifying ADEs. DKADE infers missing drug entities and evaluates their correlations with ADEs by combining medication orders and existing drug knowledge. Moreover, DKADE can automatically screen for new adverse drug reactions. Experimental results show that DKADE achieves an overall F1-score value of 91.13%. Furthermore, the adaptability of DKADE is validated using real-world external clinical data. In summary, DKADE is a powerful tool for studying drug safety and automating adverse event monitoring.

Anastomosis Groups and Mycovirome of Rhizoctonia Isolates Causing Sugar Beet Root and Crown Rot and Their Sensitivity to Flutolanil, Thifluzamide, and Pencycuron.

Anastomosis groups (AGs) or subgroups of 244 Rhizoctonia isolates recovered from sugar beet roots with symptoms of root and crown rot were characterized to be AG-A, AG-K, AG-2-2IIIB, AG-2-2IV, AG-3 PT, AG-4HGI, AG-4HGII, and AG-4HGIII, with AG-4HGI (108 isolates, 44.26%) and AG-2-2IIIB (107 isolates, 43.85%) being predominate. Four unclassified mycoviruses and one hundred and one putative mycoviruses belonging to six families, namely Mitoviridae (60.00%), Narnaviridae (18.10%), Partitiviridae (7.62%), Benyviridae (4.76%), Hypoviridae (3.81%), and Botourmiaviridae (1.90%), were found to be present in these 244 Rhizoctonia isolates, most of which (88.57%) contained positive single-stranded RNA genome. The 244 Rhizoctonia isolates were all sensitive to flutolanil and thifluzamide, with average median effective concentration (EC50) value of 0.3199 ± 0.0149 µg·mL-1 and 0.1081 ± 0.0044 µg·mL-1, respectively. Among the 244 isolates, except for 20 Rhizoctonia isolates (seven isolates of AG-A and AG-K, one isolate of AG-4HGI, and 12 isolates of AG-4HGII), 117 isolates of AG-2-2IIIB, AG-2-2IV, AG-3 PT, and AG-4HGIII, 107 isolates of AG-4HGI, and six isolates of AG-4HGII were sensitive to pencycuron, with average EC50 value of 0.0339 ± 0.0012 µg·mL-1. Correlation index (ρ) of cross-resistance level between flutolanil and thifluzamide, flutolanil and pencycuron, and thifluzamide and pencycuron was 0.398, 0.315, and 0.125, respectively. This is the first detailed study on AG identification, mycovirome analysis, and sensitivity to flutolanil, thifluzamide, and pencycuron of Rhizoctonia isolates associated with sugar beet root and crown rot.

Genome Resource of Streptomyces atratus PY-1, a Broad-Spectrum Antimicrobial Strain in Particular Antagonistic Against Plasmopara viticola.

Streptomyces atratus PY-1 exhibited promising antimicrobial properties; in particular, it is highly inhibitory to Plasmopara viticola, which causes downy mildew of grape. It is very necessary to carry out systematic and in-depth research on the PY-1 strain for the improvement, application, and promotion of biocontrol agents. The PY-1 genome was fully sequenced and assembled. We present the draft genome sequence of PY-1, with a size of 9, 254, and 781 bp. Preliminary analysis on the PY-1 genome sequence shows that at least 35 gene clusters are involved in the biosynthesis of polyketides, terpenes, and nonribosomally synthesized peptides.

Diversity of Mycoviruses Present in Strains of Binucleate Rhizoctonia and Multinucleate Rhizoctonia, Causal Agents for Potato Stem Canker or Black Scurf.

In this study, the diversity of putative mycoviruses present in 66 strains of binucleate Rhizoctonia (BNR, including anastomosis group (AG)-A, AG-Fa, AG-K, and AG-W) and 192 strains of multinucleate Rhizoctonia (MNR, including AG-1-IA, AG-2-1, AG-3 PT, AG-4HGI, AG-4HGII, AG-4HGIII, and AG-5), which are the causal agents of potato stem canker or black scurf, was studied using metatranscriptome sequencing. The number of contigs related to mycoviruses identified from BNR and MNR was 173 and 485, respectively. On average, each strain of BNR accommodated 2.62 putative mycoviruses, while each strain of MNR accommodated 2.53 putative mycoviruses. Putative mycoviruses detected in both BNR and MNR contained positive single-stranded RNA (+ssRNA), double-stranded RNA (dsRNA), and negative single-stranded RNA (-ssRNA) genomes, with +ssRNA genome being the prevalent nucleic acid type (82.08% in BNR and 75.46% in MNR). Except for 3 unclassified, 170 putative mycoviruses found in BNR belonged to 13 families; excluding 33 unclassified, 452 putative mycoviruses found in MNR belonged to 19 families. Through genome organization, multiple alignments, and phylogenetic analyses, 4 new parititviruses, 39 novel mitoviruses, and 4 new hypoviruses with nearly whole genome were detected in the 258 strains of BNR and MNR.

Characterization of the First Alternavirus Identified in Fusarium avenaceum, the Causal Agent of Potato Dry Rot.

A novel virus with a double-stranded RNA (dsRNA) genome was isolated from Fusarium avenaceum strain GS-WW-224, the causal agent of potato dry rot. The virus has been designated as Fusarium avenaceum alternavirus 1 (FaAV1). Its genome consists of two dsRNA segments, 3538 bp (dsRNA1) and 2477 bp (dsRNA2) in length, encoding RNA-dependent RNA polymerase (RdRp) and a hypothetical protein (HP), respectively. The virions of FaAV1 are isometric spherical and approximately 30 nm in diameter. Multiple sequence alignments and phylogenetic analyses based on the amino acid sequences of RdRp and HP indicated that FaAV1 appears to be a new member of the proposed family Alternaviridae. No significant differences in colony morphology and spore production were observed between strains GS-WW-224 and GS-WW-224-VF, the latter strain being one in which FaAV1 was eliminated from strain GS-WW-224. Notably, however, the dry weight of mycelial biomass of GS-WW-224 was higher than that of mycelial biomass of GS-WW-224-VF. The depth and the width of lesions on potato tubers caused by GS-WW-224 were significantly greater, relative to GS-WW-224-VF, suggesting that FaAV1 confers hypervirulence to its host, F. avenaceum. Moreover, FaAV1 was successfully transmitted horizontally from GS-WW-224 to ten other species of Fusarium, and purified virions of FaAV1 were capable of transfecting wounded hyphae of the ten species of Fusarium. This is the first report of an alternavirus infecting F. avenaceum and conferring hypervirulence.

Recent advances in research on biocontrol of postharvest fungal decay in apples.

Apple is the largest fruit crop produced in temperate regions and is a popular fruit worldwide. It is, however, susceptible to a variety of postharvest fungal pathogens, including Penicillium expansum, Botrytis cinerea, Botryosphaeria dothidea, Monilia spp., and Alternaria spp. Decays resulting from fungal infections severely reduce apple quality and marketable yield. Biological control utilizing bacterial and fungal antagonists is an eco-friendly and effective method of managing postharvest decay in horticultural crops. In the current review, research on the pathogenesis of major decay fungi and isolation of antagonists used to manage postharvest decay in apple is presented. The mode of action of postharvest biocontrol agents (BCAs), including recent molecular and genomic studies, is also discussed. Recent research on the apple microbiome and its relationship to disease management is highlighted, and the use of additives and physical treatments to enhance biocontrol efficacy of BCAs is reviewed. Biological control is a critical component of an integrated management system for the sustainable approaches to apple production. Additional research will be required to explore the feasibility of developing beneficial microbial consortia and novel antimicrobial compounds derived from BCAs for postharvest disease management, as well as genetic approaches, such as the use of CRISPR/Cas9 technology.

Sixteen Novel Mycoviruses Containing Positive Single-Stranded RNA, Double-Stranded RNA, and Negative Single-Stranded RNA Genomes Co-Infect a Single Strain of Rhizoctonia zeae.

In the present study, sixteen novel RNA mycoviruses co-infecting a single strain of Rhizoctonia zeae (strain D40) were identified and molecularly characterized using metatranscriptome sequencing combined with a method for rapid amplification of cDNA ends. The fungal strain was isolated from diseased seedlings of sugar beet with damping-off symptoms. Based on genome analysis and phylogenetic analysis of amino acid sequences of RNA-dependent RNA polymerase, the sixteen mycoviruses associated with strain D40 contained three genome types with nine distinct lineages, including positive single-stranded RNA (Hypoviridae, Yadokariviridae, Botourmiaviridae, and Gammaflexiviridae), double-stranded RNA (Phlegiviridae, Megabirnaviridae, Megatotiviridae, and Yadonushiviridae), and negative single-stranded RNA (Tulasviridae), suggesting a complex composition of a mycoviral community in this single strain of R. zeae (strain D40). Full genome sequences of six novel mycoviruses and the nearly full-length sequences of the remaining ten novel mycoviruses were obtained. Furthermore, seven of these sixteen mycoviruses were confirmed to assemble virus particles present in the R. zeae strain D40. To the best of our knowledge, this is the first detailed study of mycoviruses infecting R. zeae.

Defective graphene/SiGe heterostructures as anodes of Li-ion batteries: a first-principles calculation study.

Two-dimensional silicon-based material siligene (SiGe) has a low diffusion barrier and high theoretical specific capacity, but the conductivity drops sharply after being fully lithiated. To improve their electrical conductivity, the three heterostructures (SV-G/S, DV-G/S, and SW-G/S) formed with defective graphene and SiGe were proposed and the feasibility of them as anode materials was analyzed systematically. Based on density functional theory, the structural properties of defective graphene/SiGe heterostructures (Def-G/S), the adsorption and diffusion behaviours of Li, the voltage and theoretical capacity, and electrical conductivity during the lithiation process were investigated. The results show that defective graphene can form a stable heterostructure with SiGe and the heterostructure with defects can accommodate more Li atoms. The good adsorption and low diffusion energy barrier ensure the capacity, cycling, and safety performance of Def-G/S as anode materials. Moreover, Def-G/S significantly improves the conductivity of pristine 2D SiGe after full lithiation. These excellent properties indicate that Def-G/S has great potential as an anode material for Li-ion batteries.

Subtyping of early-onset Parkinson's disease using cluster analysis: A large cohort study.

Background: Increasing evidence suggests that early-onset Parkinson's disease (EOPD) is heterogeneous in its clinical presentation and progression. Defining subtypes of EOPD is needed to better understand underlying mechanisms, predict disease course, and eventually design more efficient personalized management strategies. Objective: To identify clinical subtypes of EOPD, assess the clinical characteristics of each EOPD subtype, and compare the progression between EOPD subtypes. Materials and methods: A total of 1,217 patients were enrolled from a large EOPD cohort of the Parkinson's Disease & Movement Disorders Multicenter Database and Collaborative Network in China (PD-MDCNC) between January 2017 and September 2021. A comprehensive spectrum of motor and non-motor features were assessed at baseline. Cluster analysis was performed using data on demographics, motor symptoms and signs, and other non-motor manifestations. In 454 out of total patients were reassessed after a mean follow-up time of 1.5 years to compare progression between different subtypes. Results: Three subtypes were defined: mild motor and non-motor dysfunction/slow progression, intermediate and severe motor and non-motor dysfunction/malignant. Compared to patients with mild subtype, patients with the severe subtype were more likely to have rapid eye movement sleep behavior disorder, wearing-off, and dyskinesia, after adjusting for age and disease duration at baseline, and showed a more rapid progression in Unified Parkinson's Disease Rating Scale (UPDRS) total score (P = 0.002), UPDRS part II (P = 0.014), and III (P = 0.001) scores, Hoehn and Yahr stage (P = 0.001), and Parkinson's disease questionnaire-39 item version score (P = 0.012) at prospective follow-up. Conclusion: We identified three different clinical subtypes (mild, intermediate, and severe) using cluster analysis in a large EOPD cohort for the first time, which is important for tailoring therapy to individuals with EOPD.

Entity relation extraction in the medical domain: based on data augmentation.

Background: Entity relation extraction is an important task in the construction of professional knowledge graphs in the medical field. Research on entity relation extraction for academic books in the medical field has revealed that there is a great difference in the number of different entity relations, which has led to the formation of a typical unbalanced data set that is difficult to recognize but has certain research value. Methods: In this article, we propose a new entity relation extraction method based on data augmentation. According to the distribution of individual entity relation classes in the data set, the probability of whether a text is augmented during training was calculated. In text-oriented data augmentation, different augmentation methods perform differently in different language environments. The reinforcement of learning determines which data augmentation method to use in the current language environment. This strategy was applied to the entity relation extraction of the medical professional book, Pharmacopoeia of the People's Republic of China, and different data augmentation methods (i.e., no data augmentation, traditional data augmentation, and reinforcement learning-based data augmentation) were compared under the same neural network model. Results: The deep-learning model using data augmentation was better than the model without data augmentation, as data augmentation significantly improved the evaluation indicators of the relation classes with low data volumes in the unbalanced data set and slightly improved the evaluation indicators of the relation classes with sufficient features and large data volumes. Additionally, the deep-learning model using reinforcement learning-based data augmentation was superior to the deep-learning model using traditional data augmentation. We found that after the application of reinforcement learning-based data augmentation, the evaluation indicators of the multiple relation classes were much better than those to which reinforcement learning-based data augmentation had not been applied. Conclusions: For unbalanced data sets, data augmentation can effectively improve the ability of the deep-learning model to obtain data features, and reinforcement learning-based data augmentation can further enhance this ability. Our experiments confirmed the superiority of reinforcement learning-based data augmentation.

A Botybirnavirus Isolated from Alternaria tenuissima Confers Hypervirulence and Decreased Sensitivity of Its Host Fungus to Difenoconazole.

Alternaria alternata botybirnavirus 1 (AaBRV1) was isolated from a strain of Alternaria alternata, causing watermelon leaf blight in our previous research. The effect of AaBRV1 on the phenotype of its host fungus, however, was not determined. In the present study, a novel strain of AaBRV1 was identified in A. tenuissima strain TJ-NH-51S-4, the causal agent of cotton Alternaria leaf spot, and designated as AaBRV1-AT1. A mycovirus AaBRV1-AT1-free strain TJ-NH-51S-4-VF was obtained by protoplast regeneration, which eliminated AaBRV1-AT1 from the mycovirus AaBRV1-AT1-infected strain TJ-NH-51S-4. Colony growth rate, spore production, and virulence of strain TJ-NH-51S-4 were greater than they were in TJ-NH-51S-4-VF, while the sensitivity of strain TJ-NH-51S-4 to difenoconazole, as measured by the EC50, was lower. AaBRV1-AT1 was capable of vertical transmission via asexual spores and horizontal transmission from strain TJ-NH-51S-4 to strain XJ-BZ-5-1hyg (another strain of A. tenuissima) through hyphal contact in pairing cultures. A total of 613 differentially expressed genes (DEGs) were identified in a comparative transcriptome analysis between TJ-NH-51S-4 and TJ-NH-51S-4-VF. Relative to strain TJ-NH-51S-4-VF, the number of up-regulated and down-regulated DEGs in strain TJ-NH-51S-4 was 286 and 327, respectively. Notably, the expression level of one DEG-encoding cytochrome P450 sterol 14α-demethylase and four DEGs encoding siderophore iron transporters were significantly up-regulated. To our knowledge, this is the first documentation of hypervirulence and reduced sensitivity to difenoconazole induced by AaBRV1-AT1 infection in A. tenuissima.

Complete genome sequence of a novel mitovirus isolated from the fungus Fusarium equiseti causing potato dry rot.

In this study, a novel mitovirus was isolated from the fungus Fusarium equiseti causing potato dry rot and tentatively designated as "Fusarium equiseti mitovirus 1" (FeMV1). The full-length genome sequence of FeMV1 consists of 2,459 nucleotides with a predicted A + U content of 69.5%. Using the mold mitochondrial genetic code, an open reading frame (ORF) of 725 amino acids (aa) was predicted to encode an RNA-dependent RNA polymerase (RdRp). The RdRp protein contains six conserved motifs, with the highly conserved GDD in motif IV, and the 5'-untranslated region (UTR) and 3'-UTR of FeMV1 have the potential to fold into stem-loop secondary structures and a panhandle structure, both of which are typical characteristics of members of the family Mitoviridae. Results of a BLASTp search showed that the RdRp aa sequence of FeMV1 shared the highest sequence similarity with that of Fusarium poae mitovirus 2 (FpMV2) (76.84% identity, E-value = 0.0). Phylogenetic analysis based on the complete aa sequence of RdRp further suggested that FeMV1 is a new member of the family Mitoviridae. This is the first report of the complete genome sequence analysis of a mitovirus associated with F. equiseti.

HC-1119, a deuterated Enzalutamide, inhibits Migration, Invasion and Metastasis of the AR-positive triple-negative breast Cancer cells.

Triple-negative breast cancers (TNBCs) are aggressive, and they develop metastasis at earlier stages, relapse more frequently, and exhibits poorer prognosis than other subtypes of breast cancer. Due to the lack of estrogen receptor for endocrine therapy and HER2 for targeted therapy, new targeted therapies for TNBCs are urgently needed. Enzalutamide is a second-generation androgen receptor (AR) inhibitor, and HC-1119 is a new synthetic deuterated enzalutamide. Owing to the isotope effect, HC-1119 has many advantages over enzalutamide, including slow metabolism, high plasma concentration and low brain exposure. However, the efficacy of HC-1119 in inhibition of AR function in triple-negative breast cancer (TNBC) has not been studied. In this study, we found high-level AR expression in both Hs578T and SUM159PT TNBC cell lines. Activation of AR by dihydrotestosterone (DHT) in both cell lines increased AR protein, induced AR-nuclear localization, enhanced cell migration and invasion in culture, and promoted liver metastasis in mice. Importantly, cotreatment with HC-1119 of these cells efficiently abolished all of these effects of DHT on both Hs578T and SUM159PT cells. These results indicate that HC-1119 is a very effective new second-generation AR antagonist that can inhibit the migration, invasion and metastasis of the AR-positive TNBC cells.