Genome-wide identification and expression analysis of the anthocyanin-related genes during seed coat development in six Brassica species.

Yellow seed is one favorite trait for the breeding of Brassica oilseed crops, but the performance of seed coat color is very complicated due to the involvement of various pigments. The change of seed coat color of Brassica crops is related to the specific synthesis and accumulation of anthocyanin, and the expression level of structural genes in anthocyanin synthesis pathway is specifically regulated by transcription factors. Despite some previous reports on the regulations of seed coat color from linkage marker development, gene fine-mapping and multi-omics association analysis, the trait of Brassica crops is affected by the evolutionary events such as genome triploidization, the regulatory mechanism is still largely unknown. In this study, we identified genes related to anthocyanin synthesis in six Brassica crops in U-triangle at the genome-wide level and performed collinearity analysis. A total of 1119 anthocyanin-related genes were identified, the collinear relationship of anthocyanin-related genes on subgenomic chromosomes was the best in B. napus (AACC) and the worst in B. carinata (BBCC). The comparisons of gene expressions for anthocyanin metabolic pathways in seed coats during seed development revealed differences in its metabolism among these species. Interestingly, the R2R3-MYB transcription factors MYB5 and TT2 were differentially expressed at all eight stages of seed coat development, indicating that they might be the key genes that caused the variation of the seed coat color. The expression curve and trend analyses of the seed coat development period showed that the main reason for the unexpressed copies of MYB5 and TT2 was likely gene silencing caused by gene structural variation. These results were valuable for the genetic improvement of Brassica seed coat color, and also provided new insights into gene multicopy evolution in Brassica polyploids.

Genome-wide identification of R2R3-MYB gene family and association with anthocyanin biosynthesis in Brassica species.

Brassica species include important oil crops and vegetables in the world. The R2R3-MYB gene participates in a variety of plant functions, including the activation or inhibition of anthocyanin biosynthesis. Although previous studies have reported its phylogenetic relationships, gene structures, and expression patterns in Arabidopsis, the number and sequence variation of this gene family in Brassica crops and its involvement in the natural quantitative variation in anthocyanin biosynthesis regulation are still largely unknown. In this study, by using whole genome sequences and comprehensive genome-wide comparative analysis among the six cultivated Brassica species, 2120 R2R3-MYB genes were identified in six Brassica species, in total These R2R3-MYB genes were phylogenetically clustered into 12 groups. The R2R3-MYB family between A and C subgenomes showed better collinearity than between B and C and between A and B. From comparing transcriptional changes of five Brassica species with the purple and green leaves for the detection of the R2R3-MYB genes associated with anthocyanin biosynthesis, 7 R2R3-MYB genes were co-differentially expressed. The promoter and structure analysis of these genes showed that some variations between non-coding region, but they were highly conserved at the protein level and spatial structure. Co-expression analysis of anthocyanin-related genes and R2R3-MYBs indicated that MYB90 was strongly co-expressed with TT8, and they were co-expressed with structural genes F3H, LDOX, ANS and UF3GT at the same time. These results further clarified the roles of the R2R3-MYBs for leaf coloration in Brasica species, which provided new insights into the functions of the R2R3-MYB gene family in Brasica species.

[Arterial remodeling in middle cerebral artery atherosclerotic stenosis:a high-resolution MRI study].

OBJECTIVE: To investigate remodeling mode of moderate or severe atherosclerotic stenosis of the middle cerebral artery (MCA) using high resolution MRI. METHODS: Thirty-seven consecutive symptomatic patients with atherosclerotic MCA stenosis were imaged with a 3.0-T magnetic resonance scanner. The HR-MRI protocol included four different scans: T1-weighted black blood imaging, T2-weighted MR, proton density (PD)-weighted MR, and 3D-SPACE. The wall area (VA), lumen area (LA) and plaque area (PA) were calculated. The characterization of the plaque on HR-MRI was analysed. And the difference between positive remodeling (PR) and non-postive remodeling (non-PR) was explored. RESULTS: Thirty-four patients imaging was appropriate for analyse. Positive remodeling was found in 19 lesions. Compared with the non-PR group, the PR group had greater WA [(10.9 ± 2.5) mm² and (9.2 ± 1.9) mm², P = 0.039)] and greater PA [(6.4 ± 1.9) mm² and (3.9 ± 1.1) mm², P = 0]. High intensity on DWI and irregularity of plaque surface were more frequently observed in PR than non-PR. CONCLUSION: In patients with MCA atherosclerosis, PR lesions contain larger plaques than non-PR lesions and are probably with high risk for plaque rupture and subsequent stroke.

Delaying age at first sexual intercourse provides protection against oral cavity cancer: a mendelian randomization study.

Aim: To investigate whether age at first sexual intercourse could lead to any changes in the risk of oral cavity cancer. Methods: A two-sample mendelian randomization was conducted using genetic variants associated with age at first sexual intercourse in UK biobank as instrumental variables. Summary data of Northern American from a previous genome-wide association study aimed at oral cavity cancer was served as outcome. Three analytical methods: inverse variance-weighted, mendelian randomization Egger, and weighted median were used to perform the analysis, among which inverse variance-weighted was set as the primary method. Robustness of the results was assessed through Cochran Q test, mendelian randomization Egger intercept tests, MR PRESSO, leave one out analysis and funnel plot. Results: The primary analysis provided substantial evidence of a positive causal relationship age at first sexual intercourse and the risk of oral cavity cancer (p = 0.0002), while a delayed age at first sexual intercourse would lead to a decreased risk of suffering oral cavity cancer (ß = -1.013). The secondary outcomes confirmed the results (all ß < 0) and all assessments supported the robustness, too (all p > 0.05). Conclusion: The study demonstrates that a delayed sexual debut would provide protection against OCC, thus education on delaying sexual intercourse should be recommended.

First Report on Development of Genome-Wide Microsatellite Markers for Stock (Matthiola incana L.).

Stock (Matthiola incana (L.) R. Br.) is a famous annual ornamental plant with important ornamental and economic value. The lack of DNA molecular markers has limited genetic analysis, genome evolution, and marker-assisted selective breeding studies of M. incana. Therefore, more DNA markers are needed to support the further elucidation of the biology and genetics of M. incana. In this study, a high-quality genome of M. incana was initially assembled and a set of effective SSR primers was developed at the whole-genome level using genome data. A total of 45,612 loci of SSRs were identified; the di-nucleotide motifs were the most abundant (77.35%). In total, 43,540 primer pairs were designed, of which 300 were randomly selected for PCR validation, and as the success rate for amplification. In addition, 22 polymorphic SSR markers were used to analyze the genetic diversity of 40 stock varieties. Clustering analysis showed that all varieties could be divided into two clusters with a genetic distance of 0.68, which were highly consistent with their flower shape (potted or cut type). Moreover, we have verified that these SSR markers are effective and transferable within the Brassicaceae family. In this study, potential SSR molecular markers were successfully developed for 40 M. incana varieties using whole genome analysis, providing an important genetic tool for theoretical and applied research on M. incana.

The Construction and Effect Analysis of Nursing Safety Quality Management Based on Data Mining.

Data mining belongs to knowledge discovery, which is the process of revealing hidden, unknown, and valuable information from a large amount of fuzzy application data. The potential information revealed by data mining can help decision-makers adjust market strategies and reduce market risks. The information mined can be the discovery of a particular study and little known, which must be based on the principle of truth. Nursing safety means that during nursing work, the nursing staff must strictly follow the nursing system and operating procedures, accurately execute doctor's orders, implement nursing plans, and ensure that patients get physical and mental safety during treatment and recovery. This paper aims to explore the construction of nursing safety quality management system and its effect analysis based on data mining. It is hoped that improvements in hospital nursing processes will provide better nursing services for patients using data mining techniques. This paper uses the FP algorithm to mine the data set and generates frequent itemsets, proposes and implements the association rule mining algorithm, and obtains the association rules with practical reference value. This article analyzes the current status and existing problems of nursing management, and puts forward some problems existing in the current nursing management staff's own quality, nursing quality system standards, and nursing management system. The experimental results in this article show that there are 42 cases of poor nursing due to lack of basic medical knowledge, accounting for 52%; there are 12 cases of poor nursing due to their own diseases, accounting for 15%; there were 7 cases of poor nursing due to lack of communication, accounting for 9%; there were 15 cases of poor nursing caused by unreasonable use of restraint devices, accounting for 19%. From these data, it can be seen that patients need to have basic medical knowledge and act in strict accordance with doctors' orders. Family members also need to accompany the patients more and cooperate with all parties in order to maximize the effectiveness of care.

Prognostic and Clinicopathological Value of Programmed Cell Death Ligand1 Expression in Patients With Small Cell Lung Cancer: A Meta-Analysis.

Background: Programmed death-ligand 1 (PD-L1) is an immune checkpoint molecule expressed by cancer cells. Previous studies have demonstrated the prognostic role of PD-L1 expression in patients with small cell lung cancer (SCLC), where the results were inconsistent. Therefore, we conducted a meta-analysis to identify the prognostic impact of PD-L1 on SCLC. Methods: We searched the PubMed, Embase, ISI Web of Science, and Cochrane Library databases for articles published before and on March 2nd, 2020. Data of PD-L1 expression in tumor cells detected using immunohistochemistry methods were extracted for analysis. Pooled hazard ratios (HRs) with confidence intervals (CIs) and odds ratios (ORs) with 95% CIs were calculated to assess the correlations among PD-L1, overall survival (OS), and clinicopathological factors. Results: Nine studies of 921 patients published between 2015 and 2019 were included in this meta-analysis. The pooled data (HR = 0.91, 95% CI = 0.46-1.80, p = 0.787) indicated that PD-L1 expression is not a significant predictor of poor OS. Moreover, the results also revealed that PD-L1 expression is not significantly associated with gender (OR = 1.12, 95% CI = 0.73-1.74, p = 0.601), age (OR = 1.15, 95% CI = 0.58-2.30, p = 0.683), pN stage (OR = 0.65, 95% CI = 0.24-1.72, p = 0.381), pT stage (OR = 1.16, 95% CI = 0.26-5.23, p = 0.847), serum lactate dehydrogenase level (OR = 1.06, 95% CI = 0.13-8.43, p = 0.958), or performance status (OR = 0.69, 95% CI = 0.24-1.95, p = 0.479). No significant publication bias was detected in this meta-analysis. Conclusions: This meta-analysis suggests that PD-L1 expression is not a significant prognostic factor of poor survival in SCLC. Because of significant variations, high-quality studies are needed to validate our results.

Include dispersion in quantum chemical modeling of enzymatic reactions: the case of isoaspartyl dipeptidase.

The lack of dispersion in the B3LYP functional has been proposed to be the main origin of big errors in quantum chemical modeling of a few enzymes and transition metal complexes. In this work, the essential dispersion effects that affect quantum chemical modeling are investigated. With binuclear zinc isoaspartyl dipeptidase (IAD) as an example, dispersion is included in the modeling of enzymatic reactions by two different procedures, i.e., (i) geometry optimizations followed by single-point calculations of dispersion (approach I) and (ii) the inclusion of dispersion throughout geometry optimization and energy evaluation (approach II). Based on a 169-atom chemical model, the calculations show a qualitative consistency between approaches I and II in energetics and most key geometries, demonstrating that both approaches are available with the latter preferential since both geometry and energy are dispersion-corrected in approach II. When a smaller model without Arg233 (147 atoms) was used, an inconsistency was observed, indicating that the missing dispersion interactions are essentially responsible for determining equilibrium geometries. Other technical issues and mechanistic characteristics of IAD are also discussed, in particular with respect to the effects of Arg233.

Influence of human bone marrow mesenchymal stem cells on proliferation of chronic myeloid leukemia cells.

BACKGROUND AND OBJECTIVE: Bone marrow mesenchymal stem cells (MSCs) are of particular interest due their potential clinical use in tissue engineering. MSCs could secret soluble factor(s) upon stimulation. This study was to evaluate the influence of human bone marrow MSCs on proliferation of chronic myeloid leukemia cells, and assess the secretion of cytokines in the supernatant induced by MSCs. METHODS: Bone marrow MSCs extracted from healthy donors were cultured in DMEM-LG. The surface markers on the third passage MSCs were detected by flow cytometry. MSCs were co-cultured with chronic myeloid leukemia mononuclear cells (CML-MNCs) at various ratios. Cell proliferation was measured by flow cytometry. The interferon (IFN)-alpha level in the supernatant was analyzed by ELISA assay. RESULTS: The primary and passaged MSCs mostly appeared fibroblast-like and showed strong capacity of growth and reproduction. The membrane marker CD44 was positive and CD45 was negative on the surface of MSCs. Co-culture of MSCs with CML-MNC significantly inhibited the proliferation of CML-MNC. The IFN-alpha level in the supernatant of cell culture was significantly higher in the co-culture groups than in the CML-MNC control group (p < 0.001). Secretion of IFN-alpha was elevated with the increase of the MSC concentration and co-culture duration. CONCLUSION: Co-culture of MSCs with CML could secrete a substantial amount of IFN-alpha, thus to inhibit the proliferation of CML cells.