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Sanghuangporus baumii, an edible fungus rich in heteropolysaccharides, has been found to have some anti-cervical cancer effects.

Receptor-like proteins (RLPs) lacking the cytoplasmic kinase domain play crucial roles in plant growth, development and immunity. However, what remains largely elusive is whether RLP protein levels are fine-tuned by E3 ubiquitin ligases, which are employed by receptor-like kinases for signaling attenuation. Nicotiana benthamiana NbEIX2 is a leucine-rich repeat RLP (LRR-RLP) that mediates fungal xylanase-triggered immunity. Here we show that NbEIX2 associates with an F-box protein NbPFB1, which promotes NbEIX2 degradation likely by forming an SCF E3 ubiquitin ligase complex, and negatively regulates NbEIX2-mediated immune responses. NbEIX2 undergoes ubiquitination and proteasomal degradation in planta. Interestingly, NbEIX2 without its cytoplasmic tail is still associated with and destabilized by NbPFB1. In addition, NbPFB1 also associates with and destabilizes NbSOBIR1, a co-receptor of LRR-RLPs, and fails to promote NbEIX2 degradation in the sobir1 mutant. Our findings reveal a distinct model of NbEIX2 degradation, in which an F-box protein destabilizes NbEIX2 indirectly in a SOBIR1-dependent manner.

Titanium dioxide nanoparticles (TiO

BackgroundRemote ischemic postconditioning (RIPostC) induced by brief episodes of the limb ischemia is a potential therapeutic strategy for myocardial ischemia/reperfusion injury, achieved by reducing cardiomyocyte death, inflammation and so on. The actual mechanisms underlying cardioprotection conferred by RIPostC remain unclear. Exploring gene expression profiles in myocardium at transcriptional level is helpful to deepen the understanding on the cardioprotective mechanisms of RIPostC. This study aims to investigate the effect of RIPostC on gene expressions in rat myocardium using transcriptome sequencing.MethodsRat myocardium samples from the RIPostC group, the control group (myocardial ischemia/reperfusion group) and the sham group were performed transcriptome analysis using RNA sequencing. The levels of cardiac IL-1β, IL-6, IL-10 and TNFα were analyzed by Elisa. The expression levels of candidate genes were verified by qRT-PCR technique. Infarct size was measured by Evans blue and TTC staining. Apoptosis was assessed by TUNEL assays and caspase-3 levels were detected using western blotting.ResultsRIPostC can markedly decrease infarct size and reduce the levels of cardiac IL-1β, IL-6 and increase the level of cardiac IL-10. This transcriptome analysis showed that 2 genes were up-regulated (Prodh1 and ADAMTS15) and 5 genes (Caspase-6, Claudin-5, Sccpdh, Robo4 and AABR07011951.1) were down-regulated in the RIPostC group. Go annotation analysis showed that Go terms mainly included cellular process, metabolic process, cell part, organelle, catalytic activity and binding. The KEGG annotation analysis of DEGs found only one pathway, amino acid metabolism, was up-regulated. The relative mRNA expression levels of ADAMTS15, Caspase-6, Claudin-5 and Prodh1 were verified by qRT-PCR, which were consistent with the RNA-seq results. In addition, the relative expression of ADAMTS15 was negatively correlated with the level of cardiac IL-1β (r = −0.748, P = 0.005) and positively correlated with the level of cardiac IL-10 (r = 0.698, P = 0.012). A negative correlation statistical trend was found between the relative expression of ADAMTS15 and the level of cardiac IL-6 (r = −0.545, P = 0.067).ConclusionsADAMTS15 may be a potential inflammation-related gene in regulation of cardioprotection conferred by remote ischemic postconditioning and a possible therapeutic target for myocardial ischemia reperfusion injury in the future.

In the post-pandemic era, Chinese tourism industry is faced with unprecedented and profound adjustments. Traditional Chinese Medicine (TCM) has not only played a vital role in treatment, and prevention and control of COVID-19, but also played a significant role in the development of TCM health tourism industry. Although Shandong has advantaged resources of traditional medicine materials, there are still problems and shortcomings in the development of TCM tourism industry. In this paper, based on RMP Analysis (Resource Analysis; Market Analysis; Product Analysis), the author analyzes the development status of TCM tourism products by questionnaire survey, and on this basis, puts forward questions and countermeasures to promote the upgrading and transformation of TCM health tourism in Shandong Province.

Pruned wolfberry branches are abundant and ideal raw material for biomass carbonization. It would provide valuable guidance for optimizing the preparation conditions of biochar of pruned wolfberry branches for carbon sequestration and emission reduction. This study adopted a single-factor experiment and response surface method (RSM) using reaction temperature and holding time as factors, and systematically investigated the effects of carbonization conditions on yield and fixed carbon content. Based on the results, the effects of temperature on yield and fixed carbon content were greater than those of holding time. Both temperature and holding time had extremely significant effects on yield, and the interaction had significant effects. Temperature had an extremely significant effect on fixed carbon content, while holding time and the interaction had no significant effect. Through the RSM, the optimized pyrolysis temperature was 530°C and the holding time was 2 h. The potential for carbon sequestration of biochar generated by wolfberry branches and returned to the soil was evaluated. Biochar was believed to contribute to carbon sequestration and emission reduction in Qinghai province; 68.56 × 103 t of carbon emissions could be reduced annually from combustion in the atmosphere and 34.42 × 103 t of carbon could be fixed if all biochar were applied to soil.

The Prevotella enterotype type is a human traditional enterotype with high dietary fiber intake, which is related to healthy ageing and Parkinson’s disease development. Manipulations of the dwelled gut microbes by dietary isomalto-oligosaccharides efficiently sustained Prevotella type enterotypes, indicating that it can be used in the improvement of elderly health by increasing the gut transit time.

Many biological cells appear quasi-spherical, such as red blood cells, white blood cells, egg cells, cancer cells, etc. Cell size is an important basis for medical diagnosis. The traditional method is to use a microscope or flow cytometer to obtain the cell size. Either it depends on professionals and cannot be automated, or it is expensive and bulky, which are not suitable for point-of-care test. Lab-on-a-chip technology using a lensless imaging system gives a better solution for obtaining the cell size. In order to deal with the diffraction in the lensless imaging system, the distance between the light source and the cell, the distance between the cell and the CMOS image sensor and optical wavelength need to be accurately measured or controlled, which will greatly increase the complexity of the system, making it difficult to truly apply to point-of-care test. In this paper, an adaptive parameter model for quasi-spherical cell size measurement based on lensless imaging system is given. First, the diffraction theory used in the model is explained. Then, the adaptive algorithm of the system parameter is given. To illustrate the practicality of the algorithm, a quasi-spherical cell size measurement method and a super-resolution algorithm are given. Finally, the experiment proves that the adaptive parameter model is effective can meet the needs of quasi-spherical cell size measurement.

In this paper, we propose a novel visible light positioning (VLP) scheme under multi-path propagation, which is a practical scenario that has not been well studied for VLP. The new scheme exploits the so-called dual-mode light-emitting diode (DM-LED) of different radiation lobe mode numbers at the transmitter and a photodiode at the receiver. Specifically, we devise a method that utilizes a radiation angle measurement approach for DM-LED, derive the Cramer-Rao lower bound (CRLB) of the estimated distance and analyze the characteristics of key parameters. In addition, two localization algorithms based on linear and nonlinear least squares methods are developed. Simulation results show that under the ideal light-of-sight scenario, the CRLB of the proposed VLP scheme can be close to that of the conventional received signal strength (RSS) aided VLP scheme. Furthermore, we implement the first ever prototype DM-LED lamp to validate the new DM-LED aided VLP system model. Both simulation and experiment results demonstrate that the proposed system outperforms its RSS-aided VLP counterpart in terms of positioning accuracy in the more realistic, and thus more challenging multi-path scenario, even with a tilting receiver.

The human digestive tract is colonized by trillions of bacterial cells that play important roles in human health and diseases. It is well known that dietary habits are associated with human microbiota enterotypes. However, the factors that determine the enterotype still remain elusive. In this study, it was first examined, via

The allotetraploid Solanaceae plant Nicotiana benthamiana contains two closely related receptor-like proteins (RLPs), NbEIX2 and NbRXEG1, which regulate the recognition of VdEIX3 and PsXEG1, respectively. VdEIX3, PsXEG1, and their homologs represent two types of microbe-associated molecular patterns (MAMPs) that are widespread in diverse pathogens. Here, we report that NbRXEG1 also participates in VdEIX3 recognition. Both eix2 and rxeg1 single mutants exhibited significantly impaired but not abolished ability to mediate VdEIX3-triggered immune responses, which are nearly abolished in eix2 rxeg1 double mutants. Moreover, a dominant negative mutant of eix2 that contains a 60 bp deletion failed to respond to VdEIX3 and could suppress VdEIX3-induced cell death in the wild-type N. benthamiana. Further phylogenetic analyses showed that NbEIX2 and NbRXEG1 are obtained from different diploid ancestors by hybridization. These results demonstrate that the allotetraploid N. benthamiana recognizes two types of MAMPs by two homologous but diverged RLPs, which provides a model in which an allopolyploid plant probably exhibits defense hybrid vigor by acquiring divergent immune receptors from different ancestors.

Microalgae have emerged as promising biosorbents for the removal of toxic metals from industrial effluents due to the presence of various free functional groups. While the constitutes are distinct among different algal strains, it needs to screen the algae with high adsorption capacities for heavy metal ions by analyzing the algal components. In this study, a rapid and nondestructive Fourier transform infrared (FTIR) method combined PCA algorithm was used to discriminate algal strains according to their cellular components. With FTIR spectroscopy, we have found that the algal strains for high copper adsorption capacity (RH44, XS58, AH53, and RZ22) can be well differentiated from other strains via assessing the components involved in the biosorption of copper ions at the spectral window range of 1,200–900 cm−1 mainly attributed to polysaccharides. Correspondingly, the copper removal efficiency by different Spirulina strains was also measured by biochemical assay and scanning electron microscopy (SEM) in order to confirm the screening result. Compared with the chemical measurement, the assessment based on spectral features appears fairly good in the evaluation and differentiation of copper adsorption capacity in various Spirulina strains. This study illustrates that FTIR spectroscopy may serve as a fast and effective tool to investigate the functional groups for copper ions binding in the Spirulina cell and it even offers a useful and accurate new approach to rapidly assess potential adsorbents for the high capacity of copper adsorption.

Biofilm plays important roles in the life cycle of

Recent evidence points out the role of the gut microbiota in the aging process. However, the specific changes and relevant interventions remain unclear. In this study, Senescence Accelerated Mouse-Prone 8 (SAMP8) mice were divided into four groups; young-FMT-group transplanted fecal microbiota from young donors (2–3°months old) and old-FMT-group transplanted from old donors (10–11°months old); additionally, other two groups either adult mice injected with saline solution or untreated mice served as the saline and blank control groups, respectively. All mice were intervened from their 7-months-old until 13-months-old. The open field test at 9 and 11°months of age showed that the mice transplanted with gut microbiota from young donors had significantly better locomotor and exploration ability than those of transplanted with old-donors gut microbiota and those of saline control while was comparable with the blank control. 16S rRNA gene sequencing showed that the gut microbiome of recipient mice of young donors was altered at 11°months of age, whereas the alternation of the gut microbiome of old-donor recipient mice was at 9°months. For comparison, the recipient mice in the blank and saline control groups exhibited changes in the gut microbiome at 10°months of age. The hallmark of aging-related gut microbiome change was an increase in the relative abundance of Akkermansia, which was significantly higher in the recipients transplanted with feces from older donors than younger donors at 9°months of age. This study shows that fecal microbiota transplantation from younger donors can delay aging-related declines in locomotor and exploration ability in mice by changing the gut microbiome.

Most of the news headline generation models that use the sequence-to-sequence model or recurrent network have two shortcomings: the lack of parallel ability of the model and easily repeated generation of words. It is difficult to select the important words in news and reproduce these expressions, resulting in the headline that inaccurately summarizes the news. In this work, we propose a TD-NHG model, which stands for news headline generation based on an improved decoder from the transformer. The TD-NHG uses masked multi-head self-attention to learn the feature information of different representation subspaces of news texts and uses decoding selection strategy of top-k, top-p, and punishment mechanisms (repetition-penalty) in the decoding stage. We conducted a comparative experiment on the LCSTS dataset and CSTS dataset. Rouge-1, Rouge-2, and Rouge-L on the LCSTS dataset and CSTS dataset are 31.28/38.73, 12.68/24.97, and 28.31/37.47, respectively. The experimental results demonstrate that the proposed method can improve the accuracy and diversity of news headlines.

The allotetraploid Solanaceae plant

Background The fecal microbiota in pancreatic ductal adenocarcinoma (PDAC) and in autoimmune pancreatitis (AIP) patients remains largely unknown. We aimed to characterize the fecal microbiota in patients with PDAC and AIP, and explore the possibility of fecal microbial biomarkers for distinguishing PDAC and AIP. Methods 32 patients with PDAC, 32 patients with AIP and 32 age- and sex-matched healthy controls (HC) were recruited and the fecal microbiotas were analyzed through high-throughput metagenomic sequencing. Alterations of fecal short-chain fatty acids were measured using gas chromatographic method. Results Principal coordinate analysis (PCoA) revealed that microbial compositions differed significantly between PDAC and HC samples; whereas, AIP and HC individuals tended to cluster together. Significant reduction of phylum Firmicutes (especially butyrate-producing bacteria, including Eubacterium rectale, Faecalibacterium prausnitzii and Roseburia intestinalis) and significant increase of phylum Proteobacteria (especially Gammaproteobacteria) were observed only among PDAC samples. At species level, when compared with HC samples, we revealed 24 and 12 differently enriched bacteria in PDAC and AIP, respectively. Functional analysis showed a depletion of short-chain fatty acids synthesis associated KO modules (e.g. Wood-Ljungdahl pathway) and an increase of KO modules associated with bacterial virulence (e.g. type II general secretion pathway). Consistent with the downregulation of butyrate-producing bacteria, gas chromatographic analysis showed fecal butyrate content was significantly decreased in PDAC group. Eubacterium rectale, Eubacterium ventrisum and Odoribacter splanchnicus were among the most important biomarkers in distinguishing PDAC from HC and from AIP individuals. Receiver Operating Characteristic analysis showed areas under the curve of 90.74% (95% confidence interval [CI] 86.47–100%), 88.89% (95% CI 73.49–100%), and 76.54% (95% CI 52.5–100%) for PDAC/HC, PDAC/AIP and AIP/HC, respectively. Conclusions In conclusion, alterations in fecal microbiota and butyrate of patients with PDAC suggest an underlying role of gut microbiota for the pathogenesis of PDAC. Fecal microbial and butyrate as potential biomarkers may facilitate to distinguish patients with PDAC from patients with AIP and HCs which worth further validation.

As an important indicator of water pollution, algae are highly sensitive to changes in their environment and respond to a wide range of pollutants, they provide an early caution signal of worsening ecological condition. In this article, a kind of portable microfluidic lensless depth neural network algae monitor is proposed. The lensless algae image acquisition module, algae segmentation and classification circuit, and touch panel were integrated into the equipment. Therefore, the equipment can collect and analyze algae automatically in wild water body without laboratory. In order to miniaturize the equipment and reduce the cost, lensless microfluidic channel sampling is adopted. In addition, a dual asymmetric quantization algorithm and circuit structure are proposed for the implementation of deep neural network hardware. Finally, the prototype system construction was completed. Compared with the current analysis equipment, the equipment size and hardware cost are greatly reduced, and the accuracy reduction is kept in a small range, which makes a better compromise between the accuracy, hardware cost and circuit power consumption. The performance of the equipment fully meets the needs of the current portable algae monitor equipment, and the cost is greatly reduced compared with the current equipment. The accuracy of the equipment achieves 94.27%, the size achieves 11 * 11 * 17.5cm. These advances in portability and cost are conducive to promoting the transformation of water algae analysis based on artificial intelligence from large servers in the laboratory to portable algae analysis equipment, and promoting the rapid early analysis of water monitoring.

Microalgae have emerged as promising biosorbents for the removal of toxic metals from industrial effluents due to the presence of various free functional groups. While the constitutes are distinct among different algal strains, it needs to screen the algae with high adsorption capacities for heavy metal ions by analyzing the algal components. In this study, a rapid and nondestructive Fourier transform infrared (FTIR) method combined PCA algorithm was used to discriminate algal strains according to their cellular components. With FTIR spectroscopy, we have found that the algal strains for high copper adsorption capacity (RH44, XS58, AH53, and RZ22) can be well differentiated from other strains

Cells are the fundamental unit of life activities, and the basis of studying life phenomena. It is very important to observe the growth state of yeast cells for exploring the law of life movement, diagnosis and treatment of diseases, drug screening and so on. This study proposes a kind of intelligent low-cost portable cell culture platform using the microfluidic channel and the special machine learning circuit. The platform can independently complete the whole work of living cell culture and monitoring. For realizing the reusable and low-power deep learning circuit, a complement optimization neural network algorithm for hardware optimization and corresponding multi-clock-domain reusable multi-level precision neural network accelerator circuit were proposed, which can reduce the circuit area and power of convolution operation in all precisions by average 18.11% and 23.5% respectively. Besides, a dynamic multi-level precision control method based on the battery level is proposed to dynamically adjust the precision of machine learning operation, in order to balance the working time and segmentation accuracy of the culture platform. In addition, a microcolumns-based three-port input microfluidic structure was designed for better yeast culture effect. The experiment showed that the culture platform can realize yeast cell culture and achieve almost the same segmentation accuracy as the large biological laboratory with low-power and low-cost. Compared with the previous work, the cost of mass production was reduced by 88.95%, and the equipment volume was 27.1% smaller. At the same time, it can achieve the best balance of working time and working accuracy under the condition of limited power of equipment according to the needs of users.

Polyphenols and flavonoids are phytochemicals that have essential roles in human nutrition. In this regard, the contents of polyphenols and flavonoids in Houttuynia cordata Thunb and their antioxidant activities were evaluated in the current study. Two Houttuynia cordata materials with the same chromosome number and chemical type were used to comprehensively assess the contents of total phenols and flavonoids in different parts of H. cordata. These chemical components were extracted by the ultrasonic method. The results showed that the total phenols and antioxidant capacity of different parts of H. cordata were significantly different. The content of polyphenols in roots and stems was low, the antioxidant capacity was weak, the total phenols in flowers and leaves were high, and the antioxidant capacity was strong. Therefore, different parts of H. cordata had different pharmacological and food effects. The whole herb can be used as Chinese herbal medicine, and its young leaves and roots can be used as vegetables. Flavonoids are the main phenolic components, and total phenols are the main components of antioxidant activity. It can explain a very significant positive correlation between total phenols and flavonoids. Therefore, in the further breeding work of H. cordata, the procedure can be simplified by determining one of the above indexes to predict the varieties with high total phenolic and antioxidant activity.

Fetal growth restriction (FGR) is a complex obstetric complication with various causes and of great harm. However, the specific pathogenesis of FGR is unclear, which limits its effective treatment. Gut microbiota dysbiosis was found to be important in pathogenesis of various diseases. However, its role in FGR development remains unclear and needs to be clarified.In our case-control study, we recruited eight FGR and eight control female participants and collected their fecal samples in third trimester before delivery. We performed metagenomic sequencing and bioinformatic analysis to compare the gut microbiota composition and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways between the two groups.Our results showed that totally 20 gut microbes were significantly different between two groups (p0•05), and the correlation analysis found that g__Roseomonas and g__unclassified_f__Propionibacteriaceae were significantly positive correlated with both maternal body mass index (BMI) before delivery, placental weight, and neonatal birth weight (BW) percentile (all p0•05), while g__Marinisporobacter and g__Sphingomonas were significantly negative correlated with both neonatal BMI and neonatal BW percentile (all p0•05). Through KEGG pathway analysis, we found that the abundance of the Nitrogen metabolism pathway decreased significantly (p0•05) whereas the abundance of the Amoebiasis pathway increased significantly in the FGR group (p0•05).In this study, we demonstrated that the occurrence of FGR is associated with the change of gut microbiota of pregnant women.

Esophageal adenocarcinoma (EAC) is one of the main subtypes of esophageal cancer. The incidence rate of EAC increased progressively while the 5-year relative survival rates were poor in the past two decades. The mechanism of EAC has been studied extensively in relation to genetic factors, but less so with respect to human microbiota. Currently, researches about the relationship between EAC and the human microbiota is a newly emerging field of study. Herein, we present the current state of knowledge linking human microbiota to esophageal adenocarcinoma and its precursor lesion—gastroesophageal reflux disease and Barrett’s esophagus. There are specific human bacterial alternations in the process of esophageal carcinogenesis. And bacterial dysbiosis plays an important role in the process of esophageal carcinogenesis via inflammation, microbial metabolism and genotoxicity. Based on the human microbiota alternation in the EAC cascade, it provides potential microbiome-based clinical application. This review is focused on novel targets in prevention, diagnosis, prognosis, and therapy for esophageal adenocarcinoma.

Gut microbiota dysbiosis is closely associated with ulcerative colitis (UC). Prebiotic therapy is a potential approach for UC management especially remission maintaining. Xylo-oligosaccharide (XOS) is an efficient prebiotic with proven health benefits and few side effects. However, the effects of XOS on the gut microbiota of patients with UC have not been investigated previously. The aim of this study was to evaluate the prebiotic effects of XOS on the fecal microbiota of patients with UC in clinical remission using an in vitro fermentation model. Five patients with UC in clinical remission and five healthy volunteers were enrolled in this study. Fresh fecal samples of UC patients were diluted and inoculated in yeast extract, casitone and fatty acid (YCFA) medium alone or with XOS. After fermentation for 48 h, samples were collected for 16S rDNA sequencing to investigate the gut microbiota composition. Differences in the gut microbiota between healthy volunteers and UC patients in clinical remission were detected using original fecal samples. Subsequently, the differences between the YCFA medium alone or with XOS samples were analyzed to illustrate the effects of XOS on the gut microbiota of UC patients. In both principal coordinate analysis (PCoA) and principal component analysis (PCA), the fecal samples of UC patients differed from those of healthy volunteers. Linear discriminant analysis effect size (LEfSe) analysis revealed that the relative abundances of g_Roseburia and g_Lachnospiraceae_ND3007_group were higher in healthy volunteers than in UC patients, while o_Lactobacillales abundance showed the opposite trend (P < 0.05). Wilcoxon rank-sum test bar plot showed that the abundances of g_Eubacterium_halli_group and g_Lachnospiraceae_ND3007_group were higher in the healthy volunteers than in the UC patients (P < 0.05). In addition, in UC patients, the Wilcoxon rank-sum test showed that XOS fermentation promoted the growth of bacterial groups including g_Roseburia, g_Bifidobacterium, and g_Lactobacillus, which is beneficial for recovery of intestinal diseases. These results suggest that XOS can relieve dysbiosis in the feces of UC patients in clinical remission and thus represent a potential prebiotic material for maintaining remission.

Quasi-spherical cell size measurement plays an important role in medical test. Traditional methods such as a microscope and a flow cytometer are either it depends on professionals and cannot be automated, or it is expensive and bulky, which are not suitable for point-of-care test. Lab-on-a-chip technology using the lensless imaging system gives a good solution for obtaining the quasi-spherical cell size. The diffraction effects and the low resolution are the two main problems faced by the lensless imaging system. In this paper, a lensless light intensity model for the quasi-spherical cell size measurement is given. First, the diffraction characteristics of a quasi-spherical cell edge are given. Then, a diffraction model at an arc edge is constructed based on the Fresnel diffraction at a straight edge. Using the diffraction model at an arc edge, we explained the mechanism of the formation of the quasi-spherical cell diffraction fringes. Finally, the light intensity of the first bright ring of the quasi-spherical cell diffraction pattern is used to achieve quasi-spherical cell size measurement. The required equipment and the measurement methods are extremely simple, very suitable for point-of-care test. The experimental results show that the proposed model can realize the statistical measurement of the quasi-spherical cells and the classification of the quasi-spherical cells with a difference of 1 [Formula: see text].

Lotus root polysaccharide (LRP) is an active water-soluble polysaccharide with average molecular weight of 1.24 × 10

Soybean seeds contain high levels of oil and protein, providing 57 and 69% of a person's dietary requirements, respectively. Although many quantitative trait loci for the 100-seed weight (100SW), protein content (PRC), and oil content (OIC) have been reported, their genetic controls in soybeans remain unclear. The QTL–allele constitution of three traits in the Sichuan and Chongqing eco-regions population (SCLBP) was studied using a representative sample composed of 228 accessions. These were tested in four environments and analyzed using 135 simple sequence repeats (SSR) and 107,081 valid single nucleotide polymorphism linkage (SNP) markers. The range of 100SW, PRC, and OIC in SCLBP accessions were 4.82–33.35, 36.47–49.75%, and 14.68–21.77%, respectively. The heritability (h2) and genetic coefficient of variation (GCV) of the three traits were high. As a result, 26, 33, and 31 QTLs were found using SSR for 100SW, PRC, and OIC, respectively. The allele of Sat_260 for 100SW was detected in the four environments. In addition, 28, 198, and 250 loci for 100SW, PRC, and OIC, respectively, were found using SNP and mixed linear model (MLM). Further SNP haplotype analysis revealed that 13, 35, and 60 blocks were found for 100SW, RPC, and OIC, respectively. The block of Gm11_9895764-9,917,646 for 100SW was simultaneously detected in the four environments. Among these QTLs, 1, 5, and 7 for 100SW, PRC and OIC were found using two methods of SSR and SNP at the same time. A majority of these QTLs overlapped with the previously reported loci. However, 9, 11, and 9 loci for 100SW, PRC, and OIC using SSR; and 3, 5, and 8 for 100SW, PRC, and OIC hadn’t been reported using SNP. Moreover, the genes of Glyma.11g130800, Glyma.13g217000, and Glyma.08g122600 were considered the most likely genes controlling 100SW, PRC, and OIC, respectively. These findings provide evidence for mixed major plus polygenes inheritance for the three traits and an extended understanding of their genetic architecture for the molecular dissection and breeding of soybeans.

Through virtual screening, electronic tongue verification, and molecular docking technology, the structure-taste activity relationship of 47 kinds of umami peptides (octapeptide - undecapeptide) from Stropharia rugosoannulata prepared by simultaneous ultrasonic-assisted directional enzymatic hydrolysis was analyzed. The umami peptides of S.rugosoannulata can form hydrogen bond interaction and electrostatic interaction with umami receptors T1R1/T1R3. The amino acid residues at the peptides' N-terminal and C-terminal play a vital role in binding with the receptors to form a stable complex. D, E, and R are the primary amino acids in the peptides that easily bind to T1R1/T1R3. The basic amino acid in the peptides is more easily bound to T1R1, and the acidic amino acid is more easily bound to T1R3. The active amino acid sites of the receptors to which the peptides bind account for 42%-65% of the total active amino acid residues in the receptors. ASP147 and ASP219 are the critical amino acid residues for T1R1 to recognize the umami peptides, and ARG64, GLU45, and GLU48 are the critical amino acid residues for T1R3 to recognize the umami peptides. The increase in the variety and quantity of umami peptides is the main reason for improving the umami taste of the substrate prepared by synchronous ultrasound-assisted directional enzymatic hydrolysis. This study provides a theoretical basis for understanding simultaneous ultrasound-assisted directional enzymatic hydrolysis for preparing umami peptides from S.rugosoannulata, enhancing the flavor of umami, and the relationship between peptide structure and taste activity.

Legume plants form symbiotic relationships with rhizobia to convert N2 into ammonia, and the nodulation status can affect plant development including photosynthesis. However, the relationship between nitrogen fixation and photosynthesis during carbon and nitrogen metabolism remains unclear. This study was undertaken to unravel regulation of nodulation and photosynthesis using a spontaneous nonnodulated soybean mutant by grafting. The results of inheritance and gene mapping showed that the nonnodulated mutant was controlled by a recessive gene overlapped with the reported rj1 locus, and might be a new rj1 allele with 1 bp deletion in the fourth exon in comparison to the sequence of normal nodulation plants. According to grafting results, soybean nodulation is obviously determined by the roots, not the seedlings. Moreover, nitrogen content along with related metabolic enzyme activity, and photosynthetic capacity were enhanced by nonnodulated scions grafted with nodulated roots. Contrary results were obtained for nodulated scions grafted with nonnodulated roots. A total of 853 differentially expressed genes (DEGs) in the leaves and 1874 in the roots were identified by transcriptome analyses of the grafting treatments. We identified 285 differential gene ontology (GO) terms and 57 differential pathway terms identified in the leaves, while 856 differential GO terms and 207 differential pathway terms in the roots. Twenty DEGs interacting at translation level were selected, and the results of transcriptome analyses were verified by q-PCR. These findings indicated that the nodulation-related Nod allelic gene increases the nitrogen content of nonnodulated plants, which affects the enzymes involved in nitrogen metabolism, leading to changes in hormone levels and further regulation of photosynthesis and carbon metabolism.

Phellinus igniarius is a medicinal fungus that utilizes lignin as a nutrient substrate. This fungus has a weak lignin degradation ability and, as a result, a slow growth rate. Laccases are crucial enzymes for lignin degradation in P. igniarius, and thus, the cultivation of strains with high laccase activity is expected to increase the growth rate of P. igniarius. To generate P. igniarius strains with high laccase activity, we performed laser mutagenesis of P. igniarius protoplasts and screened for mutants with high laccase activity. Our results showed that the laser power density and P. igniarius protoplast survival rate exhibited a power–function relationship. The power density threshold value between lethality and growth promotion was 0.24 mW/mm2. Mutagenesis was carried out using a laser beam diameter of 3 mm and an irradiation period of 40 min. After five generations of selection, we identified a high laccase activity strain, termed SJZ2. The laccase activity in SJZ2 during 4 h of fermentation was increased by 36.84% in comparison with the control and ranged from 0.20216 to 0.27664 U. The Km and Vmax of the laccase produced by SJZ2 were 0.21 mmol/mL and 0.53 mmol/L/min, respectively. This study demonstrated the feasibility of laser mutagenesis of P. igniarius protoplasts for the selection of high laccase activity. This study characterized the key factors in the laser mutagenesis process of P. igniarius protoplasts and provided a reference for the application of lasers in biological mutagenesis. Future studies should evaluate the bioactive functionality and stability of this novel strain of P. igniarius, particularly the organoleptic and medical characteristics of the fruiting bodies.

The preparation of n-N homotypic heterojunction by growing n-type VO2 film on N-type Al-doped ZnO substrate using DC magnetron sputtering and post-annealing was reported in this paper. The composition and microstructure of the VO2/AZO heterojunction were measured by XRD and SEM. The photoelectrical properties and the phase transition properties were tested by adjusting voltage at different temperature. The forward current was perfectly fitted on the thermionic emission model and the breakdown voltage was about 5 V at 20 °C. Meanwhile, the threshold voltage of current mutation was 3 V at 20 °C and decreased with increasing temperature until it completely disappeared at 60 °C. The voltage dependence transmittance of VO2/AZO heterojunction at 1310 nm was obtained. It indicated that the decrease of transmittance is the double effect of thermally induced phase transition and electrically induced phase transition. Keywords: VO2/AZO, Homotypic heterojunction, Metal-insulator transition, Forward current, Threshold voltage of current mutation, Transmittance

Volvariella volvacea is difficult to store after harvest, which restricts the production and circulation of V. volvacea fruiting bodies. Low-temperature storage is the traditional storage method used for most edible fungi. However, V. volvacea undergoes autolysis at low temperatures. When fruiting bodies are stored at 15 °C (suitable temperature), V. volvacea achieves the best fresh-keeping effect. However, the molecular mechanism underlying the postharvest senescence of V. volvacea remains unclear. Based on this information, we stored V. volvacea fruiting bodies at 15 °C after harvest and then analyzed the texture and phenotype combined with the results of previous physiological research. Four time points (0, 24, 60, and 96 h) were selected for the comparative proteomics study of V. volvacea during storage at 15 °C. A variety of proteins showed differential expressions in postharvest V. volvacea at 15 °C. Further comparison of the gene ontology (GO) enrichment analysis and KEGG pathways performed at different sampling points revealed proteins that were significantly enriched at several time points. At the same time, we also analyzed differentially expressed proteins (DEPs) related to the RNA transport, fatty acid biosynthesis and metabolism, and amino acid biosynthesis and metabolism pathways, and discussed the molecular functions of the PAB1, RPG1, ACC1, ADH3, ADH2, ALD5, and SDH2 proteins in postharvest V. volvacea senescence. Our results showed that many biological processes of the postharvest senescence of V. volvacea changed. Most importantly, we found that most RNA transport-related proteins were down-regulated, which may lead to a decrease in related gene regulation. Our results also showed that the expression of other important proteins, such as the fatty acid metabolism related proteins increased; and changes in fatty acid composition affected the cell membrane, which may accelerate the ripening and perception of V. volvacea fruiting bodies. Therefore, our research provides a reference for further studies on the aging mechanism of V. volvacea.

Soybean seeds contain high levels of oil and protein providing 69% and 57% of dietary protein and oil respectively. Although many quantitative trait loci for 100-seed weight (100SW), protein content (PRC) and oil content (OIC) have been reported, their genetic controls in soybeans remain unclear. The QTL–allele constitution of three traits in the Sichuan and Chongqing eco-regions population (SCLBP) was studied using a representative sample composed of 228 accessions tested under four environments and analyzed based on 135 SSR and 107081 valid SNP (single nucleotide polymorphism linkage) markers. The varied range of 100SW, PRC and OIC of SCLBP were 4.82-33.35, 36.47-49.75 and 14.68-21.77 among accessions, respectively. The heritability (h2) and genetic coefficient of variation (GCV) of three traits were high. As a result, 26, 33 and 31 QTLs were found by SSR to be associated with 100SW, PRC and OIC, respectively. The allele of Sat_260 for 100SW was detected in 4 environments. In addition, 28, 198 and 250 loci for 100SW, PRC and OIC were found by SNP using mixed linear model (MLM), respectively. Further SNP haplotype analysis showed that 13, 35 and 60 blocks for 100SW, RPC and OIC were found. The block of Gm11_9895764-9917646 for 100SW was simultaneously detected in four environments. Among these QTLs, 1, 5, and 7 for 100SW, PRC and OIC were found by two methods of SSR and SNP at the same time. A majority of these QTLs overlapped with the previously reported loci. However, 9, 11 and 9 loci for 100SW, PRC and OIC using SSR and 3, 5 and 8 for 100SW, PRC and OIC haven’t been reported using SNP in the study, respectively. Moreover, the genes of Glyma.11g130800, Glyma.13g217000 and Glyma.08g122600 were considered to be the most likely genes controlling 100SW, PRC and OIC, respectively. Our findings provide evidence for mixed major plus polygenes inheritance for three traits and an extended understanding of their genetic architecture for molecular dissection and breeding utilization in soybeans.

Additional file 7: Figure S1. Box-and-whisker plot of alpha diversity indices, including diversity (Shannon, Simpson), community richness and evenness. P-value was determined by the Kruskal–Wallis test followed by Steel–Dwass test for multiple comparisons. PDAC: pancreatic ductal adenocarcinoma; AIP: autoimmune pancreatitis; HC: healthy controls. Figure S2. Analysis of three identified MetaCyc pathways involved in polyamine biosynthesis using HUMAnN2. Figure S3 Bar plot of genes involved in butyrate synthesis in the aminobutyrate, glutarate and lysine pathways. Figure S4 Differentially abundant bacterial species with a statistical and biological significance as revealed by LEfSe analysis between PDAC/HC, AIP/HC or PDAC/AIP groups. PDAC: pancreatic ductal adenocarcinoma; AIP: autoimmune pancreatitis; HC: healthy controls; LDA: linear discriminant analysis; LEfSe: LDA effect size.

Cryogenic autolysis of Volvariella volvacea restricts the postharvest storage and sale of this commercially cultivated mushroom. Previous studies have shown that the specific ubiquitin-binding enzyme E2 (UBEV2) inhibitor (L345-0044) is an effective agent to prevent cryogenic autolysis. The safety of L345-0044 as a food preservative is debatable. Thus, it is essential to find a safer food additive for the preservation of V. volvacea. In this study, absolute quantitative transcriptome and metabolome analyses were performed to analyze the gene and metabolite expression profiles of the fruiting bodies treated with L345-0044 at 4 °C. Correlative pathway analysis of the associated metabolites from the correlation analysis of differentially expressed metabolites and genes (> 3) screened out the pathways of tyrosine metabolism and carbon metabolism (Impact > 1) in which tyrosinase and β-glucosidase were the two most strongly associated enzymes. qPCR confirmed that chilling stress (CS) induced abnormal up-regulation of β-glucosidase (BGVV1) and tyrosinase. Western blot and enzyme activity assays further confirmed our results that CS-induced cryogenic autolysis could be alleviated by inhibitors of β-glucosidase and tyrosinase. The activities of β-glucosidase and tyrosinase were increased by 23.34 % and by 250.34 %, respectively, after CS treatment for 24 h but were reduced by 27.25 % and by 73.20 %, respectively, after treatment with inhibitors that included conduritol B epoxide and arbutin, respectively. Among the inhibitors, D-Glucono-1,5-lactone prevented autolysis at 4 °C for more than 24 h. As a safe conventional food additive, its excellent performance in preventing autolysis indicates that it has a very promising application in the postharvest management of V. volvacea.

Temporal development of the human gut microbiome from infancy to childhood is driven by a variety of factors. We surveyed the fecal microbiome of 729 Chinese children aged 0–36 months, aiming to identify the age-specific patterns of microbiota succession, and evaluate the impact of birth mode, gender, geographical location, and gastrointestinal tract symptoms on the shaping of the gut microbiome. We demonstrated that phylogenetic diversity of the gut microbiome increased gradually over time, which was accompanied by an increase in Bacteroidetes and a reduction in Proteobacteria species. Analysis of community-wide phenotypes revealed a succession from aerobic bacteria and anaerobic bacteria to facultative anaerobes, and from Gram-negative to Gram-positive species during gut microbiota development in early childhood. The metabolic functions of the gut microbiome shifted tremendously alongside early physiological development, including an increase in alanine, aspartate, and glutamate metabolism, and a reduction in glutathione, fatty acid, and tyrosine metabolism. During the first year of life, the Bacteroidetes phylum was less abundant in children born by casarean section compared with those delivered vaginally. The Enterococcaceae family, a group of facultative anaerobic microorganisms with pathogenic potential, was predominant in preterm infants. No measurable effect of maternal antibiotic exposure on gut microbiota development was found in the first 3 years of life. The relative abundances of Coriobacteriaceae and Streptococcaceae families, and Megasphaera genus were found to be higher in girls than in boys. Among the three first-tier Chinese cities, children born and fed in Beijing had a higher abundance of Enterococcaceae and Lachnospiraceae families, and Shenzhen children had a higher abundance of Fusobacteriaceae. The families Alcaligenaceae, Bacteroidaceae, and Porphyromonadaceae were more abundant in children with constipation, whereas the relative abundance of the Clostridium genus was higher in those with diarrhea.

The variability in the size of red blood cells (RBCs) is an important additional diagnostic parameter for diseases, which has been established as a part of the complete blood count (CBC). The CBC can be performed using an automated flow cytometer, but it is too bulky and expensive for point-of-care testing. A miniaturized lensless imaging system is a competitive modality for a CBC, that is small and inexpensive. There are two challenges in developing a lensless imaging system for taking the CBC, which make the measurement of the RBC size very difficult: the diffraction effect and the low resolution. In this paper, the RBC radius measurement is replaced with a diffraction ring radius measurement. The diffraction ring radius is much larger than the RBC radius. This feature can improve the imaging resolution. Based on Fresnel diffraction, the relationship between the radius of RBCs and the diffraction fringes is analyzed. Finally, a complete measurement algorithm for determining the RBC size based on the lensless imaging system is given, which can be used to measure the variability in the size of RBCs. In our experiment, the maximum error is less than 6.74%.

The lensless optical fluid microscopy is of great significance to the miniaturization, portability and low cost development of cell detection instruments. However, the resolution of the cell image collected directly is low, because the physical pixel size of the image sensor is the same order of magnitude as the cell size. To solve this problem, this paper proposes a super-resolution scanning algorithm using a dual-line array sensor and a microfluidic chip. For dual-line array sensor images, the multi-group velocity and acceleration of cells flowing through the line array sensor are calculated. Then the reconstruction model of the super-resolution image is constructed with variable acceleration. By changing the angle between the line array image sensor and the direction of cell flow, the super-resolution image scanning and reconstruction are achieved in both horizontal and vertical directions. In addition, it is necessary to study the row by row extraction algorithm for cell foreground image. In this paper, the dual-line array sensor is implemented by adjusting the acquisition window of the image sensor with a pixel size of 2.2μm. When the tilt angle is 21 degrees, the equivalent pixel size is 0.79μm, improved 2.8 times, and after de-diffraction its average size error was 3.249%. As the angle decreases, the image resolution is higher, but the amount of information is less. This super-resolution scanning algorithm can be integrated on the chip and used with a microfluidic chip to realize on-chip instrument.

To identify the characteristic taste components of the common cultivated mushroom (brown; Portobello), Agaricus bisporus, taste components in the stipe and pileus of Portobello mushroom harvested at different growth stages were extracted and identified, and principal component analysis (PCA) and taste active value (TAV) were used to reveal the characteristic taste components during the each of the growth stages of Portobello mushroom. In the stipe and pileus, 20 and 14 different principal taste components were identified, respectively, and they were considered as the principal taste components of Portobello mushroom fruit bodies, which included most amino acids and 5′‐nucleotides. Some taste components that were found at high levels, such as lactic acid and citric acid, were not detected as Portobello mushroom principal taste components through PCA. However, due to their high content, Portobello mushroom could be used as a source of organic acids. The PCA and TAV results revealed that 5′‐GMP, glutamic acid, malic acid, alanine, proline, leucine, and aspartic acid were the characteristic taste components of Portobello mushroom fruit bodies. Portobello mushroom was also found to be rich in protein and amino acids, so it might also be useful in the formulation of nutraceuticals and functional food. The results in this article could provide a theoretical basis for understanding and regulating the characteristic flavor components synthesis process of Portobello mushroom.

Although a significant amount of research has been conducted to investigate the deformation and failure of buried pipelines subjected to load disturbance, scarce information is available about the effect of weld geometry parameters on the dynamic behavior of buried pipelines under blast loads. In the present study, numerical method and range analysis method were conducted to investigate the effect of weld geometry parameters including bevel angle, residual weld height, weld root opening, and thickness of root face on the dynamic performance of welded X70 steel pipelines under subsurface detonation. The results showed that the deformation of explosion-front surface is larger than that of explosion-back surface of the buried pipeline. The bevel angle, residual weld height, and thickness of root face have different effects on the dynamic comparison index of the welded pipes including peak vibration velocity, peak equivalent stress, peak equivalent strain, and peak displacement. Reasonable configuration should be adopted to properly select the geometry and dimensions of welding groove due to the complex influence of the weld geometry parameters. Combined the present results with the designing practice and current standards, the suggested weld geometry parameters to decrease their effects on the dynamic behavior of the welded X70 steel pipeline are as follows: the bevel angle (25 ± 5°), residual weld height (less than 1 mm), weld root opening (3.5 ± 0.5 mm), and thickness of root face (1.6 ± 0.6 mm).

Visible light communication-based schemes utilizing LED identifiers are among the most popular candidate solutions for indoor localization applications. In this paper, we design a comprehensive imaging visible light positioning system, which exploits off-the-shelf LED lamps and commercial user equipment employing a rolling shutter aided CMOS image sensor. More specifically, we first introduce an asynchronous oversampled multi-image detection scheme inspired by the rationale of Miller coding, which efficiently solves the synchronization problem in transmissions of LED identifiers. Then, a discrete Fourier transform aided LED flicker frequency detection algorithm is detailed for robust single-image detection. Furthermore, we extend the proposed method to a space-time-multiplexing framework, which improves the overall transmission rate and solves the problem of detecting the user’s moving direction. The notable advantages of the new solution are demonstrated through both practical measurements and computer simulations, exhibiting a robust transmit distance beyond three meters for continuous frames.

Understanding the effects of management practices on soil organic carbon (SOC) is important for designing effective policies to mitigate greenhouse gas emissions in agriculture. In the Midwest United States, management practices in the croplands have been improved to increase crop production and reduce SOC loss since the 1980s. Many studies of SOC dynamics in croplands have been performed to understand the effects of management, but the results are still not conclusive. This study quantified SOC dynamics in the Midwest croplands from 1980 to 2012 with the General Ensemble Biogeochemical Modelling System (GEMS) and available management data. Our results showed that the total SOC in the croplands decreased from 1190 Tg C in 1980 to 1107 TgC in 1995, and then increased to 1176 TgC in 2012. Continuous cropping and intensive tillage may have driven SOC loss in the early period. The increase of crop production and adoption of conservation tillage increased the total SOC so that the decrease in the total SOC stock after 32 years was only 1%. The small change in average SOC did not reflect the large spatial variations of SOC change in the region. Major SOC losses occurred in the north and south of the region, where SOC baseline values were high and cropland production was low. The SOC gains took place in the central part of the region where SOC baseline values were moderate and cropland production was higher than the other areas. We simulated multiple land-use land-cover (LULC) change scenarios and analyzed the results. The analysis showed that among all the LULC changes, agricultural technology that increased cropland production had the greatest impact on SOC changes, followed by the tillage practices, changes in crop species, and the conversions of cropland to other land use. Information on management practice induced spatial variation in SOC can be useful for policy makers and farm managers to develop long-term management strategies for increasing SOC sequestration in different areas.

A vanadium dioxide (VO2) thin film was prepared on an Al-doped ZnO (AZO) conductive glass substrate by DC magnetron sputtering and a post-annealing process. The AZO/VO2/AZO sandwiched structure was fabricated on the VO2/AZO composite film using photolithography and a chemical etching process. The composition, microstructure and optical properties of the VO2/AZO composite film were tested. The results showed that the VO2/AZO composite film was poly-crystalline and the AZO layer did not change the preferred growth orientation of VO2. When the voltage was applied on both of the transparent conductive layers of the AZO/VO2/AZO sandwiched structure, an abrupt change in the current was observed at different temperatures. The temperature dependence of I–V characteristic curves for the AZO/VO2/AZO sandwiched structure was analyzed. The phase transition voltage value is 7.5 V at 20 °C and decreases with increasing temperature.