Integrating genomics, molecular docking, and protein expression to explore new perspectives on polystyrene biodegradation.

Faced with the escalating challenge of global plastic pollution, this study specifically addresses the research gap in the biodegradation of polystyrene (PS). A PS-degrading bacterial strain was isolated from the gut of Tenebrio molitor, and genomics, molecular docking, and proteomics were employed to thoroughly investigate the biodegradation mechanisms of Pseudomonas putida H-01 against PS. Using scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (ATR-FTIR), and contact angle analysis, significant morphological and structural changes in the PS films under the influence of the H-01 strain were observed. The study revealed several potential degradation genes and ten enzymes that were specifically upregulated in the PS degradation environment. Additionally, a novel protein with laccase-like activity, LacQ1, was purified from this strain for the first time, and its crucial role in the PS degradation process was confirmed. Through molecular docking and molecular dynamics (MD) simulations, the interactions between the enzymes and PS were detailed, elucidating the binding and catalytic mechanisms of the degradative enzymes with the substrate. These findings have deepened our understanding of PS degradation.

Study on the effect and regularity of plating parts cleaning wastewater by enhanced aerobic process with high-density bacterial flora.

In this research, we established an enhanced aerobic biological method utilizing a high-density bacterial flora for the treatment of low-biochemical plating parts washing wastewater. The elucidation of pollutant removal mechanisms was achieved through a comprehensive analysis of changes in sludge characteristics and bacterial community structure. The results demonstrated that throughout the operational period, the organic load remained stable within the range of 0.01-0.02 kgCOD/kgMLSS·d, the BOD5/COD ratio increased from 0.004 mg/L to 0.33 mg/L, and the average removal rates for key pollutants, including COD, NH4+-N, and TN, reached 98.13%, 99.86%, and 98.09%. MLSS concentration remained at 7627 mg/L, indicating a high-density flora. Notably, Proteobacteria, Bacteroidota, and Acidobacteriota, which have the ability to degrade large organic molecules, had been found in the system. This study affirms the efficacy of the intensive aerobic biological method for treating low-biochemical plating washing wastewater while ensuring system stability.

Study on the estradiol degradation gene expression and resistance mechanism of Rhodococcus R-001 under low-temperature stress.

Estradiol (E2), an endocrine disruptor, acts by mimicking or interfering with the normal physiological functions of natural hormones within organisms, leading to issues such as endocrine system disruption. Notably, seasonal fluctuations in environmental temperature may influence the degradation speed of estradiol (E2) in the natural environment, intensifying its potential health and ecological risks. Therefore, this study aims to explore how bacteria can degrade E2 under low-temperature conditions, unveiling their resistance mechanisms, with the goal of developing new strategies to mitigate the threat of E2 to health and ecological safety. In this paper, we found that Rhodococcus equi DSSKP-R-001 (R-001) can efficiently degrade E2 at 30 °C and 10 °C. Six genes in R-001 were shown to be involved in E2 degradation by heterologous expression at 30 °C. Among them, 17ß-HSD, KstD2, and KstD3, were also involved in E2 degradation at 10 °C; KstD was not previously known to degrade E2. RNA-seq was used to characterize differentially expressed genes (DEGs) to explore the stress response of R-001 to low-temperature environments to elucidate the strain's adaptation mechanism. At the low temperature, R-001 cells changed from a round spherical shape to a long rod or irregular shape with elevated unsaturated fatty acids and were consistent with the corresponding genetic changes. Many differentially expressed genes linked to the cold stress response were observed. R-001 was found to upregulate genes encoding cold shock proteins, fatty acid metabolism proteins, the ABC transport system, DNA damage repair, energy metabolism and transcriptional regulators. In this study, we demonstrated six E2 degradation genes in R-001 and found for the first time that E2 degradation genes have different expression characteristics at 30 °C and 10 °C. Linking R-001 to cold acclimation provides new insights and a mechanistic basis for the simultaneous degradation of E2 under cold stress in Rhodococcus adaptation.

Bacterial transformation of lignin: key enzymes and high-value products.

Lignin, a natural organic polymer that is recyclable and inexpensive, serves as one of the most abundant green resources in nature. With the increasing consumption of fossil fuels and the deterioration of the environment, the development and utilization of renewable resources have attracted considerable attention. Therefore, the effective and comprehensive utilization of lignin has become an important global research topic, with the goal of environmental protection and economic development. This review focused on the bacteria and enzymes that can bio-transform lignin, focusing on the main ways that lignin can be utilized to produce high-value chemical products. Bacillus has demonstrated the most prominent effect on lignin degradation, with 89% lignin degradation by Bacillus cereus. Furthermore, several bacterial enzymes were discussed that can act on lignin, with the main enzymes consisting of dye-decolorizing peroxidases and laccase. Finally, low-molecular-weight lignin compounds were converted into value-added products through specific reaction pathways. These bacteria and enzymes may become potential candidates for efficient lignin degradation in the future, providing a method for lignin high-value conversion. In addition, the bacterial metabolic pathways convert lignin-derived aromatics into intermediates through the "biological funnel", achieving the biosynthesis of value-added products. The utilization of this "biological funnel" of aromatic compounds may address the heterogeneous issue of the aromatic products obtained via lignin depolymerization. This may also simplify the separation of downstream target products and provide avenues for the commercial application of lignin conversion into high-value products.

Whole Exome Sequencing Identified two Novel Truncation Mutations in the CTNNB1 Gene Associated with Neurodevelopmental Disorder, Language Dysfunction, and Microcephaly in Chinese Children.

Recently, the loss-of-function, heterozygous, and de novo mutations of the CTNNB1 gene have been proven to be partially responsible for intellectual disability in some patients. Herein, we report two unrelated children with neurodevelopmental disorder, abnormal facial features, speech impairments, microcephaly, and dystonia. Based on whole exome sequencing (WES), two new heterozygous and pathogenic mutations in exon 10 (c.1586dupA:p.Q530Afs*42) and exon 4 (c.257dup:p.Y86*) were identified in the CTNNB1 gene for the first time. These findings not only enrich the genetic spectrum of the CTNNB1 gene but also provide evidence for its role in neuronal development.

Changes of Volatile Organic Compounds of Different Flesh Texture Pears during Shelf Life Based on Headspace Solid-Phase Microextraction with Gas Chromatography-Mass Spectrometry.

Aroma is an important sensory factor in evaluating the quality of pear fruits. This study used headspace solid-phase microextraction (HS-SPME) combined with gas chromatography-mass spectrometry (GC-MS) to analyze the volatile organic compounds (VOCs) of three crispy pears and five soft pears during shelf life, and the changes in soluble solids content (SSC) were analyzed. The results showed that the SSC of the soft pears such as Nanguoli, Jingbaili and Louis was always higher than that of the crispy pears throughout shelf life. A total of 160 VOCs were detected in the eight pear varieties. Orthogonal partial least squares discriminant analysis (OPLS-DA) and hierarchical cluster analysis (HCA) combined with predictor variable importance projection (VIP) showed that the eight pear varieties could be obviously classified into six groups according to the differences in their VOCs, and 31 differential VOCs were screened out, which could be used to differentiate between pears with different flesh textures. The results of clustering heat map analysis showed that, with the extension of shelf life, the content of each different VOC did not change much in crispy pears, whereas the difference in soft pears was larger. This study confirmed the potential of determining the optimal shelf life of different pear varieties about aroma evaluation and studying the mechanism of differences in VOCs in the future.

Changes and Influencing Factors of Stress Disorder in Patients with Mild Traumatic Brain Injury Stress Disorder.

Traumatic brain injury (TBI) is a brain injury caused by motor vehicle accidents, falls from heights, sports, and combat. Posttraumatic stress disorder (PTSD) is a complex mental disorder caused by physical and psychological trauma, which manifests itself with symptoms such as anxiety, depression, and cognitive dysfunction. How its symptoms arise and what factors influence it are not fully understood nor can it be predicted. In order to better understand the changes after stress disorder in TBI patients and the influencing factors of PTSD, this paper analyzed the changes and influencing factors of stress disorder in patients with mild traumatic brain injury stress disorder. In this paper, the Wechsler Memory Scale and functional magnetic resonance imaging were first used to study the memory impairment and functional changes of corresponding brain regions in patients with TBI stress disorder, and then, the Pittsburgh Sleep Quality Index Scale and the pain Visual Analogue Scale were used to study the influencing factors of PTSD. The results of the study showed that PTSD patients reduced and enhanced regional brain functional activity and impaired memory function in the resting state. Male gender, age under 45 years, no hemiplegia, and good sleep quality were protective factors for PTSD in TBI patients. The need for drug-assisted sleep, severe headache, and moderate headache was the risk factor for PTSD in TBI patients.

Effects of the information-knowledge-attitude-practice nursing model combined with predictability intervention on patients with cerebrovascular disease.

BACKGROUND: Cerebrovascular disease (CVD) poses a serious threat to human health and safety. Thus, developing a reasonable exercise program plays an important role in the long-term recovery and prognosis for patients with CVD. Studies have shown that predictive nursing can improve the quality of care and that the information -knowledge-attitude-practice (IKAP) nursing model has a positive impact on patients who suffered a stroke. Few studies have combined these two nursing models to treat CVD. AIM: To explore the effect of the IKAP nursing model combined with predictive nursing on the Fugl-Meyer motor function (FMA) score, Barthel index score, and disease knowledge mastery rate in patients with CVD. METHODS: A total of 140 patients with CVD treated at our hospital between December 2019 and September 2021 were randomly divided into two groups, with 70 patients in each. The control group received routine nursing, while the observation group received the IKAP nursing model combined with predictive nursing. Both groups were observed for self-care ability, motor function, and disease knowledge mastery rate after one month of nursing. RESULTS: There was no clear difference between the Barthel index and FMA scores of the two groups before nursing (P > 0.05); however, their scores increased after nursing. This increase was more apparent in the observation group, and the difference was statistically significant (P < 0.05). The rates of disease knowledge mastery, timely medication, appropriate exercise, and reasonable diet were significantly higher in the observation group than in the control group (P < 0.05). The satisfaction rate in the observation group (97.14%) was significantly higher than that in the control group (81.43%; P < 0.05). CONCLUSION: The IKAP nursing model, combined with predictive nursing, is more effective than routine nursing in the care of patients with CVD, and it can significantly improve the Barthel index and FMA scores with better knowledge acquisition, as well as produce high satisfaction in patients. Moreover, they can be widely used in the clinical setting.

Mechanism of 17ß-estradiol degradation by Rhodococcus equi via the 4,5-seco pathway and its key genes.

Steroid estrogens have been detected in oceans, rivers, lakes, groundwaters, soils, and even urban water supply systems, thereby inevitably imposing serious impacts on human health and ecological safety. Indeed, many estrogen-degrading bacterial strains and degradation pathways have been reported, with the 4,5-seco pathway being particularly important. However, few studies have evaluated the use of the 4,5-seco pathway by actinomycetes to degrade 17ß-estradiol (E2). In this study, 5 genes involved in E2 degradation were identified in the Rhodococcus equi DSSKP-R-001 (R-001) genome and then heterologously expressed to confirm their functions. The transformation of E2 with hsd17b14 reached 63.7% within 30 h, resulting in transformation into estrone (E1). Furthermore, we found that At1g12200-encoded flavin-binding monooxygenase (FMOAt1g12200) can transform E1 at a rate of 51.6% within 30 h and can transform E1 into 4-hydroxyestrone (4-OH E1). In addition, catA and hsaC genes were identified to further transform 4-OH E1 at a rate of 97-99%, and this reaction was accomplished by C-C cleavage at the C4 position of the A ring of 4-OH E1. This study represents the first report on the roles of these genes in estrogen degradation and provides new insights into the mechanisms of microbial estrogen metabolism and a better understanding of E2 degradation via the 4,5-seco pathway by actinomycetes.

Mechanisms of BPA Degradation and Toxicity Resistance in Rhodococcus equi.

Bisphenol A (BPA) pollution poses an increasingly serious problem. BPA has been detected in a variety of environmental media and human tissues. Microbial degradation is an effective method of environmental BPA remediation. However, BPA is also biotoxic to microorganisms. In this study, Rhodococcus equi DSSKP-R-001 (R-001) was used to degrade BPA, and the effects of BPA on the growth metabolism, gene expression patterns, and toxicity-resistance mechanisms of Rhodococcus equi were analyzed. The results showed that R-001 degraded 51.2% of 5 mg/L BPA and that 40 mg/L BPA was the maximum BPA concentration tolerated by strain R-001. Cytochrome P450 monooxygenase and multicopper oxidases played key roles in BPA degradation. However, BPA was toxic to strain R-001, exhibiting nonlinear inhibitory effects on the growth and metabolism of this bacterium. R-001 bacterial biomass, total protein content, and ATP content exhibited V-shaped trends as BPA concentration increased. The toxic effects of BPA included the downregulation of R-001 genes related to glycolysis/gluconeogenesis, pentose phosphate metabolism, and glyoxylate and dicarboxylate metabolism. Genes involved in aspects of the BPA-resistance response, such as base excision repair, osmoprotectant transport, iron-complex transport, and some energy metabolisms, were upregulated to mitigate the loss of energy associated with BPA exposure. This study helped to clarify the bacterial mechanisms involved in BPA biodegradation and toxicity resistance, and our results provide a theoretical basis for the application of strain R-001 in BPA pollution treatments.

Identification of HIF-1α/VEGFA signaling pathway and transcription factors in Kashin-Beck disease by integrated bioinformatics analysis.

Kashin-Beck disease (KBD) is a chronic and endemic osteoarthropathy. The pathogenesis of KBD has yet to be fully elucidated, although previous studies have shown that its etiology may be associated with low selenium abundance and high exposure to mycotoxins, such as T-2 toxin. In the present study, the Comparative Toxicogenomics Database was used to identify key genes associated with KBD, T-2 toxin and selenium. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used to identify the biological processes and pathways that key genes may be associated with. By searching the Search Tool for the Retrieval of Interacting Genes database and the Molecular Complex Detection plug-in with Cytoscape, it was possible to construct a KBD-associated protein-protein interaction (PPI) network, and screen the core modules and genes. Western blot analysis was subsequently used to verify the expression levels of hypoxia-inducible factor-1α (HIF-1α) and vascular endothelial growth factor A (VEGFA), two components that are associated with the HIF-1 signaling pathway in KBD disease. Via this approach, a total of 301 key genes were identified that were associated with KBD, T-2 toxin and selenium. The results of the GO and KEGG enrichment analyses demonstrated that these key genes were mainly involved in the process of apoptosis. Previous studies have demonstrated that excessive apoptosis of chondrocytes plays a crucial role in the pathophysiology of KBD, and that HIF-1α has an important role in chondrocyte apoptosis; therefore, the present study was focused on the expression level of HIF-1α in KBD. By analyzing the PPI network constructed from the key genes, a total of 10 core genes were obtained that may be associated with KBD. The results of western blotting experiments revealed that, after treating chondrocytes with different concentrations of T-2 toxin, the expression levels of HIF-1α and VEGFA were markedly downregulated. The iRegulon plug-in for Cytoscape was used to predict the transcription factors that may regulate HIF-1α and VEGFA in the HIF-1 signaling pathway. Using this approach, 10 core genes and 15 transcription factors were obtained. These results may help to clarify the pathogenesis of KBD, thereby providing further avenues for the therapeutic treatment of KBD.

A seven-lncRNA signature for predicting Ewing's sarcoma.

BACKGROUND: Long non-coding RNAs (lncRNAs) are a class of non-coding RNAs with unique characteristics. These RNA can regulate cancer cells' survival, proliferation, invasion, metastasis, and angiogenesis and are potential diagnostic and prognostic markers. We identified a seven-lncRNA signature related to the overall survival (OS) of patients with Ewing's sarcoma (EWS). METHODS: We used an expression profile from the Gene Expression Omnibus (GEO) database as a training cohort to screen out the OS-associated lncRNAs in EWS and further established a seven-lncRNA signature using univariate Cox regression, the least absolute shrinkage, and selection operator (LASSO) regression analysis. The prognostic lncRNA signature was validated in an external dataset from the International Cancer Genome Consortium (ICGC) as a validation cohort. RESULTS: We obtained 10 survival-related lncRNAs from the Kaplan-Meier and ROC curve analysis (log-rank test P < 0.05; AUC >0.6). Univariate Cox regression and LASSO regression analyses confirmed seven key lncRNAs and we established a lncRNA signature to predict an EWS prognosis. EWS patients in the training cohort were categorized into a low-risk group or a high-risk group based on their median risk score. The high-risk group's survival time was significantly shorter than the low-risk group's. This seven-lncRNA signature was further confirmed by the validation cohort. The area under the curve (AUC) for this lncRNA signature was up to 0.905 in the training group and 0.697 in the 3-year validation group. The nomogram's calibration curves demonstrated that EWS probability in the two cohorts was consistent between the nomogram prediction and actual observation. CONCLUSION: We screened a seven-lncRNA signature to predict the EWS patients' prognosis. Our findings provide a new reference for the current prognostic evaluation of EWS and new direction for the diagnosis and treatment of EWS.

Metabolomic and transcriptomic analyses highlight the influence of lipid changes on the post-harvest softening of Pyrus ussurian Max. 'Zaoshu Shanli'.

How lipids influence post-harvest softening in pears is not well understood. LC-MS/MS (Liquid chromatography-tandem mass spectrometry) and RNA-Seq analyses of 'Zaoshu Shanli' (ZSSL) pears were conducted during post-harvest storage. This approach enabled the identification of 98 different metabolites that upregulated and 95 that downregulated at 18 days post-harvest in ZSSL fruits to day 0. Metabolites were significantly enriched in KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways including glycerophospholipid metabolism and glycosylphosphatidylinositol (GPI)-anchor biosynthesis. When comparing fruits from day 18 to those from day 0 post-harvest, RNA-seq analyses further highlighted 6496 differentially expressed genes (DEGs) in ZSSL fruits that were significantly enriched in KEGG pathways including glycerophospholipid metabolism and fatty acid degradation. Overall, these results suggested that glycerophospholipid metabolism is closely related to the post-harvest softening of pears. Further research will be essential in order to fully explore the functional implications of and mechanistic basis for these findings.

Circ-ELF2 Acts as a Competing Endogenous RNA to Facilitate Glioma Cell Proliferation and Aggressiveness by Targeting MiR-510-5p/MUC15 Signaling.

OBJECTIVE: Glioma (GM) is a common type of malignant and aggressive tumor in brain with poor prognosis. Circular RNAs (circRNAs) are well-known regulators in cancer progression. However, its molecular basis in GM remains to be investigated. MATERIALS AND METHODS: CircRNA microarray was used to detect differentially expressed circRNAs in GM and matched noncancerous tissues. qRT-PCR was applied to detect the expression profile of circ-ELF2 in GM tissue specimens and cell lines. CCK-8, clone formation, AO/EB staining, flow cytometry, wound healing, and transwell assays were performed to identify the functions of circ-ELF2 in GM cells. The distribution of circ-ELF2 was analyzed by RNA-FISH and subcellular fractionation assay. Dual-luciferase reporter assay was applied to verify the predicted binding sites between miR-510-5p and circ-ELF2/MUC15 3'-UTR. Rescue assay was finally conducted to explore whether the oncogenic role of circ-ELF2 was partially attributed to miR-510-5p/MUC15 signaling. RESULTS: We observed that circ-ELF2 was significantly upregulated in GM tissues, which was analyzed by circRNA microarray and qRT-PCR. Upregulation of circ-ELF2 was associated with poor prognosis and high recurrence rate for GM patients after surgery. The collapse of circ-ELF2 caused growth arrest and downregulation of cell migratory and invasive potential of GM cells and promoted cell apoptosis. In contrast, elevated expression of circ-ELF2 led to the opposite effect. Mechanistically, circ-ELF2 acted as a competing endogenous RNA (ceRNA) for miR-510-5p to positive modulate MUC15 expression at posttranscriptional level. Circ-ELF2 upregulated MUC15 by sponging miR-510-5p, thus promoting GM growth and aggressiveness. CONCLUSION: This study indicates that circ-ELF2/miR-510-5p/MUC15 signaling plays a key role in promoting the occurrence and development of GM.

The Analysis of Estrogen-Degrading and Functional Metabolism Genes in Rhodococcus equi DSSKP-R-001.

Estrogen contamination is recognized as one of the most serious environmental problems, causing widespread concern worldwide. Environmental estrogens are mainly derived from human and vertebrate excretion, drugs, and agricultural activities. The use of microorganisms is currently the most economical and effective method for biodegradation of environmental estrogens. Rhodococcus equi DSSKP-R-001 (R-001) has strong estrogen-degrading capabilities. Our study indicated that R-001 can use different types of estrogen as its sole carbon source for growth and metabolism, with final degradation rates above 90%. Transcriptome analysis showed that 720 (E1), 983 (E2), and 845 (EE2) genes were significantly upregulated in the estrogen-treated group compared with the control group, and 270 differentially expressed genes (DEGs) were upregulated across all treatment groups. These DEGs included ABC transporters; estrogen-degrading genes, including those that perform initial oxidation and dehydrogenation reactions and those that further degrade the resulting substrates into small molecules; and metabolism genes that complete the intracellular transformation and utilization of estrogen metabolites through biological processes such as amino acid metabolism, lipid metabolism, carbohydrate metabolism, and the tricarboxylic acid cycle. In summary, the biodegradation of estrogens is coordinated by a metabolic network of estrogen-degrading enzymes, transporters, metabolic enzymes, and other coenzymes. In this study, the metabolic mechanisms by which Rhodococcus equi R-001 degrades various estrogens were analyzed for the first time. A new pollutant metabolism system is outlined, providing a starting point for the construction of engineered estrogen-degrading bacteria.

Identification and genome analysis of a novel 17ß-estradiol degradation bacterium, Lysinibacillus sphaericus DH-B01.

The natural estrogen 17ß-estradiol (17ß-E2) is a major endocrine disruptor. Accordingly, due to their frequent presence in global surface waters, prolonged exposure to estrogen-contaminated water may disrupt sexual development in animals. It has adverse effects on wildlife and humans. To date, the most effective strategy for estrogen removal from the environment is biodegradation using microorganisms. To this end, we isolated a strain of Lysinibacillus sphaericus, namely DH-B01, from a contraceptive factory in Beijing. The experimental results revealed that the bacterium has a high capacity to degrade estrogen, with a 17ß-E2 degradation rate of about 97%, and produces the secondary metabolite estrone. In addition, a series of genes involved in steroid metabolism and stress response in L. sphaericus sp. DH-B01 were predicted, and several key genes with high similarity to those of other strains were subjected to sequence alignment to find their conserved regions. This is the first study of the ability of L. sphaericus strains to degrade estrogens and the degradation mechanism involved. This work advances the genomic study of estrogen-degrading strains and the study of bacterial estrogen degradation mechanisms. In this paper, a novel bacterial strain capable of degrading 17ß-E2 was studied. L. sphaericus sp. DH-B01 can effectively degrade 17ß-E2. During the degradation process, 17ß-E2 can be gradually metabolized to a substance without estrogen activity. By analyzing the enzymatic reactions in the metabolic process, we found genes with high similarity to reported 17ß-HSD. L. sphaericus sp. DH-B01 was found to degrade 17ß-E2. There are many types of bacteria that are currently being studied for the degradation of estrogen, but L. sphaericus sp. DH-B01 is the only strain of L. sphaericus that has been shown to degrade estrogen. This work advances the genomic study of estrogen-degrading bacterial strains and the study of bacterial estrogen degradation mechanisms. Additionally, it explores the correlation between different L. sphaericus strains. The differences play an important role and further enrich the functionality and diversity of L. sphaericus strains. In subsequent studies, the specificity of L. sphaericus sp. DH-B01 can be applied to different environments for future environmental restoration.

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Pyrus xerophila has strong resistance to drought, cold, salt, and rust. It is one of the main rootstock types of pear in Northwest China, with high production value. However, its habitat is seriously damaged. The prediction of the geographical distribution of P. xerophila under different climate scenarios will provide important scientific basis for rational development and utilization of resources and the protection of diversity. Based on MaxEnt model and ArcGIS spatial analysis, the potential spatial distribution pattern of P. xerophila in the current and future (2050, 2070) was constructed using comprehensive and accurate distribution records and high-resolution environmental data, and the relative importance of environmental factors was evaluated. The results showed that the suitable habitat area of P. xerophila was 3.32×105 km2, mainly located in eastern Qinghai, southern Gansu, southern Ningxia, central Shaanxi, southern Shanxi and western Henan. Mean UV-B of the month with lowest UV-B and altitude were identified as the critical factors shaping habitat availability for P. xerophila. Overall, with global warming, the potential habitat for P. xerophila might decrease in 2050 and 2070 under different CO2 climate scenarios. Real-time monitoring of P. xerophila populations should be enhanced.

De novo assembly of a wild pear (Pyrus betuleafolia) genome.

China is the origin and evolutionary centre of Oriental pears. Pyrus betuleafolia is a wild species native to China and distributed in the northern region, and it is widely used as rootstock. Here, we report the de novo assembly of the genome of P. betuleafolia-Shanxi Duli using an integrated strategy that combines PacBio sequencing, BioNano mapping and chromosome conformation capture (Hi-C) sequencing. The genome assembly size was 532.7 Mb, with a contig N50 of 1.57 Mb. A total of 59 552 protein-coding genes and 247.4 Mb of repetitive sequences were annotated for this genome. The expansion genes in P. betuleafolia were significantly enriched in secondary metabolism, which may account for the organism's considerable environmental adaptability. An alignment analysis of orthologous genes showed that fruit size, sugar metabolism and transport, and photosynthetic efficiency were positively selected in Oriental pear during domestication. A total of 573 nucleotide-binding site (NBS)-type resistance gene analogues (RGAs) were identified in the P. betuleafolia genome, 150 of which are TIR-NBS-LRR (TNL)-type genes, which represented the greatest number of TNL-type genes among the published Rosaceae genomes and explained the strong disease resistance of this wild species. The study of flavour metabolism-related genes showed that the anthocyanidin reductase (ANR) metabolic pathway affected the astringency of pear fruit and that sorbitol transporter (SOT) transmembrane transport may be the main factor affecting the accumulation of soluble organic matter. This high-quality P. betuleafolia genome provides a valuable resource for the utilization of wild pear in fundamental pear studies and breeding.

Overexpression of circ_0021093 circular RNA forecasts an unfavorable prognosis and facilitates cell progression by targeting the miR-766-3p/MTA3 pathway in hepatocellular carcinoma.

Increasing studies have demonstrated the important roles of circular RNAs (circRNAs) in human malignancies. Nevertheless, the molecular mechanisms and functions of circRNAs in hepatocellular carcinoma (HCC) are still not fully understood. In the present study, we evaluated circ_0021093 expression in 82 pairs of HCC tissues and 5 cell lines by qRT-PCR. The clinical implications of circ_0021093 were evaluated. In addition, the viability, apoptosis, migration and invasion capacities of different HCC cells were evaluated by gain-/loss-of-function experiments. Target prediction and dual-luciferase reporter experiments were performed to identify the molecular mechanisms of circ_0021093. Upregulation of circ_0021093 was found in HCC tumor samples and cells. Additionally, upregulated circ_0021093 was related to adverse clinical characteristics and an unfavorable prognosis. Furthermore, downregulated circ_0021093 attenuated cell growth, migration and invasion but increased cell apoptosis. By contrast, ectopically expressed circ_0021093 enhanced the abovementioned malignant biological behaviors. For mechanism exploration, circ_0021093 sponges of miR-766-3p were used in HCC cells. In addition, we found that metastasis-associated protein 3 (MTA3) was a direct target of miR-766-3p and that the oncogenic function of circ_0021093 was partly dependent on the miR-766-3p/MTA3 axis according to rescue assays. In conclusion, the circ_0021093/miR-766-3p/MTA3 regulatory axis may be an effective therapeutic target for HCC.

Genomic Analysis of a New Estrogen-Degrading Bacterial Strain, Acinetobacter sp. DSSKY-A-001.

In this study, we isolated a new estrogen-degrading bacterium from a soil sample collected near a pharmaceutical factory in Beijing, China. Morphological observations, physiological and biochemical analyses, and sequence analysis showed that the strain was in the genus Acinetobacter, and it was named DSSKY-A-001. The estrogen degradation rate and growth density of strain DSSKY-A-001 were determined by high-performance liquid chromatography and a growth assay using a microplate reader, respectively. The estrogen degradation rate was 76% on the third day and 90% on the sixth day of culture. Three kinds of estrogen metabolism intermediates were detected by high-performance liquid chromatography and mass spectrometry, and the estrogen metabolic pathway and possible estrogen-degrading enzymes were predicted. RT-PCR was used to verify whether the three putative enzymes, catechol 1,2-dioxygenase, dioxygenase, and 7α-hydroxysteroid dehydrogenase, were expressed in the strain. The results of the validation were consistent with the predictions that these three enzymes were present and expressed in Acinetobacter DSSKY-A-001. To further understand the estrogen-degrading activity of the strain at the genetic level, we sequenced the genome and performed a functional gene annotation. Through this gene sequence analysis, we identified genes predicted to encode the previously detected enzymes, catechol 1,2-dioxygenase, dioxygenase, and 7α-hydroxysteroid dehydrogenase, as well as six other enzymes that may be involved in estrogen degradation. Therefore, a total of nine enzymes related to estrogen degradation were found.