Powdery mildew is one of the most devastating wheat fungal diseases. A diploid wheat relative, Haynaldia villosa L., is highly resistant to powdery mildew, and its genetic resource of resistances, such as the Pm21 locus, is now widely used in wheat breeding. Here we report the cloning of a resistance gene from H. villosa, designated CMPG1-V, that encodes a U-box E3 ubiquitin ligase. Expression of the CMPG1-V gene was induced in the leaf and stem of H. villosa upon inoculation with Blumeria graminis f. sp. tritici (Bgt) fungus, and the presence of Pm21 is essential for its rapid induction of expression. CMPG1-V has conserved key residues for E3 ligase, and possesses E3 ligase activity in vitro and in vivo. CMPG1-V is localized in the nucleus, endoplasmic reticulum, plasma membrane and partially in trans-Golgi network/early endosome vesicles. Transgenic wheat over-expressing CMPG1-V showed improved broad-spectrum powdery mildew resistance at seedling and adult stages, associated with an increase in expression of salicylic acid-responsive genes, H2 O2 accumulation, and cell-wall protein cross-linking at the Bgt infection sites, and the expression of CMPG1-V in H. villosa was increased when treated with salicylic acid, abscisic acid and H2 O2 . These results indicate the involvement of E3 ligase in defense responses to Bgt fungus in wheat, particularly in broad-spectrum disease resistance, and suggest association of reactive oxidative species and the phytohormone pathway with CMPG1-V-mediated powdery mildew resistance.Read more
Terpenoids are important trace flavour constituents in Chinese light-style liquors, and are formed by the various yeast species present during fermentation of liquor from cereal and legume materials. Saccharomyces cerevisiae, Pichia kudriavzevii and Wickerhamomyces anomalus are three such yeast species, and we found S. cerevisiae capable of generating thirteen different terpenoids in cereal and legume extract fermentation, by both de novo and biotransformation pathways. We also found that cereals such as sorghum and barley, and legumes such as peas, contained different terpenoids precursors, which differentially affected the formation and profile of terpenoids mixtures. This work gives new insights into the role of yeast species in generating the various terpenoids mixtures found in Chinese light-style liquors.Read more
The sheer volume of textual information that needs to be reviewed and analyzed in many clinical settings requires the automated retrieval of key clinical and temporal information. The existing natural language processing systems are often challenged by the low quality of clinical texts and do not demonstrate the required performance. In this study, we focus on medical product safety report narratives and investigate the association of the clinical events with appropriate time information. We developed a novel algorithm for tagging and extracting temporal information from the narratives, and associating it with related events. The proposed algorithm minimizes the performance dependency on text quality by relying only on shallow syntactic information and primitive properties of the extracted event and time entities. We demonstrated the effectiveness of the proposed algorithm by evaluating its tagging and time assignment capabilities on 140 randomly selected reports from the US Vaccine Adverse Event Reporting System (VAERS) and the FDA (Food and Drug Administration) Adverse Event Reporting System (FAERS). We compared the performance of our tagger with the SUTime and HeidelTime taggers, and our algorithm's event-time associations with the Temporal Awareness and Reasoning Systems for Question Interpretation (TARSQI). We further evaluated the ability of our algorithm to correctly identify the time information for the events in the 2012 Informatics for Integrating Biology and the Bedside (i2b2) Challenge corpus. For the time tagging task, our algorithm performed better than the SUTime and the HeidelTime taggers (F-measure in VAERS and FAERS: Our algorithm: 0.86 and 0.88, SUTime: 0.77 and 0.74, and HeidelTime 0.75 and 0.42, respectively). In the event-time association task, our algorithm assigned an inappropriate timestamp for 25% of the events, while the TARSQI toolkit demonstrated a considerably lower performance, assigning inappropriate timestamps in 61.5% of the same events. Our algorithm also supported the correct calculation of 69% of the event relations to the section time in the i2b2 testing set.Read more
Roxarsone (3-nitro-4-hydroxy benzene arsenic acid) is an organoarsenic feed additive and has been widely used in the poultry industry to prevent coccidiosis and improve feed efficiency. The presence of roxarsone and its degradation products results in the instability of the anaerobic methanogenic process. This study investigated the degradation and speciation of roxarsone in an anaerobic granular sludge (AGS) system and the impacts of roxarsone and its degradation products on the structure of AGS. Roxarsone inhibited methane production, and the added roxarsone was rapidly degraded into 3-amino-4-hydroxyphenylarsonic acid (HAPA). After 240 days of incubation, the distribution of arsenic differed between the aqueous solution and the AGS in the assays of 20 and 350mg/L roxarsone. Species analysis indicated that HAPA was completely degraded in all of the assays with roxarsone addition after 240 days of incubation. Species distribution was affected by the phases and the initial concentration of roxarsone added. The concentration of As(III) was higher than that of As(V) in both the aqueous solution and the AGS in all assays with roxarsone addition. The toxicity of roxarsone and its degradation products resulted in changes in the structure and the microorganism species in the AGS.Read more
Recent reports on the impressive efficacy of chimeric antigen receptor (CAR)-modified T cells against hematologic malignancies have inspired oncologists to extend these efforts for the treatment of solid tumors. Clinical trials of CAR-T-based cancer immunotherapy for solid tumors showed that the efficacies are not as remarkable as in the case of hematologic malignancies. There are several challenges that researchers must face when treating solid cancers with CAR-T cells, these include choosing an ideal target, promoting efficient trafficking and infiltration, overcoming the immunosuppressive microenvironment, and avoiding associated toxicity. In this review, we discuss the obstacles imposed by solid tumors on CAR-T cell-based immunotherapy and strategies adopted to improve the therapeutic potential of this approach. Continued investigations are necessary to improve therapeutic outcomes and decrease the adverse effects of CAR-T cell therapy in patients with solid malignancies in the future.Read more
The chemical composition and antioxidant activity of essential oils and MeOH extracts of stems, needles, and berries from Juniperus rigida were studied. The results indicated that the yield of essential oil from stems (2.5%) was higher than from needles (0.8%) and berries (1.0%). The gas chromatography/mass spectrometer (GC/MS) analysis indicated that 21, 17, and 14 compounds were identified from stems, needles, and berries essential oils, respectively. Caryophyllene, α-caryophyllene, and caryophyllene oxide were primary compounds in both stems and needles essential oils. However, α-pinene and β-myrcene mainly existed in berries essential oils and α-ionone only in needles essential oils. The high-performance liquid chromatography (HPLC) analysis indicated that the phenolic profiles of three parts exhibited significant differences. Needles extracts had the highest content of chlorogenic acid, catechin, podophyllotoxin, and amentoflavone, and for berries extracts, the content of those compounds was the lowest. Meanwhile, three in vitro methods (DPPH, ABTS, and FRAP) were used to evaluate antioxidant activity. Stems essential oil and needles extracts exhibited the powerful antioxidant activity than other parts. This is the first comprehensive study on the different parts of J. rigida. The results suggested that stems and needles of J. rigida are useful supplements for healthy products as new resources.Read more
To investigate the incidence and analyze the factors related to bone loss after renal transplantation, in order to guide the intervention of it.
We picked up 263 cases of renal transplantation outpatients with well graft function from February to May 2014 according to random number table. Bone mineral density (BMD) were examined by quantitative ultrasound and other demographic information and clinical data were collected. According to the diagnostic criteria of the osteoporosis established by WHO, the selected patients were divided into osteoporosis group (n = 62) and normal group (n = 63), univariate analysis and Logistic regression analysis were used to determine related factors responsible for bone loss after renal transplantation.
The percentage of bone loss in renal transplant recipients was 76. 05% (200/263). Logistic regression analysis revealed the risk factors of osteoporosis in renal transplant recipients were age older than 50 years old (P = 0. 01), parent fractured hip history (P = 0. 00), high dose of corticosteroid (P = 0. 02). Compared with those not being treated with calcitriol, patients intake calcitriol see 8. 80% decreased incidence of bone loss.
A high incidence of bone loss is found in renal transplant recipients. Age, parent fractured hip history, corticosteroid dose are related factors of osteoporosis in renal transplant recipients. Calcitriol is effective in preventing and treating bone loss in renal transplant recipients.Read more
The feasibility of Fourier transform near infrared (FT-NIR) spectroscopy with spectral range between 833 and 2 500 nm to detect the moldy corn kernels with different levels of mildew was verified in this paper. Firstly, to avoid the influence of noise, moving average smoothing was used for spectral data preprocessing after four common pretreatment methods were compared. Then to improve the prediction performance of the model, SPXY (sample set partitioning based on joint x-y distance) was selected and used for sample set partition. Furthermore, in order to reduce the dimensions of the original spectral data, successive projection algorithm (SPA) was adopted and ultimately 7 characteristic wavelengths were extracted, the characteristic wave-lengths were 833, 927, 1 208, 1 337, 1 454, 1 861, 2 280 nm. The experimental results showed when the spectrum data of the 7 characteristic wavelengths were taken as the input of SVM, the radial basic function (RBF) used as the kernel function, and kernel parameter C = 7 760 469, γ = 0.017 003, the classification accuracies of the established SVM model were 97.78% and 93.33% for the training and testing sets respectively. In addition, the independent validation set was selected in the same standard, and used to verify the model. At last, the classification accuracy of 91.11% for the independent validation set was achieved. The result indicated that it is feasible to identify and classify different degree of moldy corn grain kernels using SPA and SVM, and characteristic wavelengths selected by SPA in this paper also lay a foundation for the online NIR detection of mildew corn kernels.Read more
The multidrug resistance efflux transporter ATP-binding cassette subfamily G member 2 (ABCG2) is not only overexpressed in certain drug-resistant cancers but is also highly expressed in the mammary gland during lactation, carrying xenobiotics and nutrients into milk. We sought to investigate the molecular mechanisms involved in the upregulation of ABCG2 during lactation. Expression profiling of different mouse Abcg2 mRNA isoforms (E1a, E1b, and E1c) revealed that E1b is predominantly expressed and induced in the lactating mouse mammary gland. Despite this induction, analyses of CpG methylation status and published ChIP-seq datasets reveal that E1b promoter sequences in the virgin gland are already hypomethylated and marked with the open chromatin histone mark H3K4me2. Using a forced-weaning model to shut down lactation, we found that within 24 h there was a significant reduction in Abcg2 mRNA expression and a loss of signal transducer and activator of transcription-5 (STAT5) occupancy at the mouse Abcg2 gene. Luciferase reporter assays further showed that some of these STAT5-binding regions that contained interferon-γ-activated sequence (GAS) motifs function as an enhancer after prolactin treatment. We conclude that Abcg2 is already poised for expression in the virgin mammary gland and that STAT5 plays an important role in Abcg2 expression during lactation.Read more