Evolutionary roles of polyploidization-derived structural variations in the phenotypic diversification of Panax species.

Genomic structural variations (SVs) are widespread in plant and animal genomes and play important roles in phenotypic novelty and species adaptation. Frequent whole genome duplications followed by (re)diploidizations have resulted in high diversity of genome architecture among extant species. In this study, we identified abundant genomic SVs in the Panax genus that are hypothesized to have occurred through during the repeated polyploidizations/(re)diploidizations. Our genome-wide comparisons demonstrated that although these polyploidization-derived SVs have evolved at distinct evolutionary stages, a large number of SV-intersecting genes showed enrichment in functionally important pathways related to secondary metabolites, photosynthesis and basic cellular activities. In line with these observations, our metabolic analyses of these Panax species revealed high diversity of primary and secondary metabolites both at the tissue and interspecific levels. In particular, genomic SVs identified at ginsenoside biosynthesis genes, including copy number variation and large fragment deletion, appear to have played important roles in the evolution and diversification of ginsenosides. A further herbivore deterrence experiment demonstrated that, as major triterpenoidal saponins found exclusively in Panax, ginsenosides provide protection against insect herbivores. Our study provides new insights on how polyploidization-derived SVs have contributed to phenotypic novelty and plant adaptation.

[Molecular mechanism of ginsenoside Rg_1 against radiation enteritis: based on network pharmacology and in vitro experiment].

Via network pharmacology, molecular docking, and cellular experiment, this study explored and validated the potential molecular mechanism of ginsenoside Rg_1(Rg_1) against radiation enteritis. Targets of Rg_1 and radiation enteritis were retrieved from BATMAN-TCM, SwissTargetPrediction, and GeneCards. Cytoscape 3.7.2 and STRING were employed for the construction of protein-protein interaction(PPI) network for the common targets, and screening of core targets. DAVID was used for Gene Ontology(GO) term and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment to predict the possible mechanism, followed by molecular docking of Rg_1 with core targets and cellular experiment. For the cellular experiment, ~(60)Co-γ irradiation was performed for mo-deling of IEC-6 cells, which were then treated with Rg_1, protein kinase B(AKT) inhibitor LY294002, and other drugs to verify the effect and mechanism of Rg_1. The results showed that 29 potential targets of Rg_1, 4 941 disease targets, and 25 common targets were screened out. According to the PPI network, the core targets were AKT1, vascular endothelial growth factor A(VEGFA), heat shock protein 90 alpha family class A member 1(HSP90AA1), Bcl-2-like protein 1(BCL2L1), estrogen receptor 1(ESR1), etc. The common targets were mainly involved in the GO terms such as positive regulation of RNA polymerase Ⅱ promoter transcription, signal transduction, positive regulation of cell proliferation, and other biological processes. The top 10 KEGG pathways included phosphoinositide 3-kinase(PI3K)/AKT pathway, RAS pathway, mitogen-activated protein kinase(MAPK) pathway, Ras-proximate-1(RAP1) pathway, and calcium pathway, etc. Molecular docking showed that Rg_1 had high binding affinity to AKT1, VEGFA, HSP90AA1, and other core targets. Cellular experiment indicated that Rg_1 can effectively improve cell viability and survival, decrease apoptosis after irradiation, promote the expression of AKT1 and B-cell lymphoma-extra large(BCL-XL), and inhibit the expression of the pro-apoptotic protein Bcl-2-associated X protein(BAX). In conclusion, through network pharmacology, molecular docking, and cellular experiment, this study verified the ability of Rg_1 to reduce radiation enteritis injury. The mechanism was that it regulated PI3K/AKT pathway, thereby suppressing apoptosis.

Phenotypic and transcriptomic responses of the shade-grown species Panax ginseng to variable light conditions.

BACKGROUND AND AIMS: Elucidating how plant species respond to variable light conditions is important to understand the ecological adaptation to heterogeneous natural habitats. Plant performance and its underlying gene regulatory network have been well documented in sun-grown plants. However, the phenotypic and molecular responses of shade-grown plants under variable light conditions have remained largely unclear. METHODS: We assessed the differences in phenotypic performance between Panax ginseng (shade-grown) and Arabidopsis thaliana (sun-grown) under sunlight, shade and deep-shade conditions. To further address the molecular bases underpinning the phenotypic responses, we compared time-course transcriptomic expression profiling and candidate gene structures between the two species. KEY RESULTS: Our results show that, compared with arabidopsis, ginseng plants not only possess a lower degree of phenotypic plasticity among the three light conditions, but also exhibit higher photosynthetic efficiency under shade and deep-shade conditions. Further comparisons of the gene expression and structure reveal that differential transcriptional regulation together with increased copy number of photosynthesis-related genes (e.g. electron transfer and carbon fixation) may improve the photosynthetic efficiency of ginseng plants under the two shade conditions. In contrast, the inactivation of phytochrome-interacting factors (i.e. absent and no upregulation of the PIF genes) are potentially associated with the observed low degree of phenotypic plasticity of ginseng plants under variable light conditions. CONCLUSIONS: Our study provides new insights into how shade-grown plants respond to variable light conditions. Candidate genes related to shade adaptation in ginseng provide valuable genetic resources for future molecular breeding of high-density planting crops.

Application of multiplex competitive PCR combined with capillary electrophoresis in carrier screening of spinal muscular atrophy.

Spinal muscular atrophy (SMA) is an autosomal recessive, fatal neurological disorder in children. The pathogenic gene of SMA is survival motor neuron1 (SMN1). There are many methods to detect SMN1 gene copy number, but few techniques are suitable for large-scale population screening. In order to find a rapid and accurate experimental technique for mass screening of SMA carriers in the population, the SMN1 gene copy number of 12 SMA patients and their parents was analyzed by multiplex competitive PCR combined with capillary electrophoresis. Meanwhile, the copy number of SMN1 gene in 151 healthy pregnant women in Jiangsu was screened with the MLPA technology to confirm their copy number of the SMN genes. The results showed that the 12 SMA patients had 0 copy of SMN1 gene, and all their parents had 1 copy of SMN1 gene only. Among 151 healthy subjects, 3 cases (2.0%) had 1 copy of SMN1 gene, and hence designated as SMA carriers. One hundred and thirty-four cases (88.7%) had 2 copies of the SMN1 gene. There were 14 cases (9.3%) with more than 2 copies of the SMN1 gene. Therefore, multiplex competitive PCR combined with capillary electrophoresis is a rapid, simple and accurate method for the detection of SMA carriers; and potentially applicable to mass screening of SMA carriers in the population.

Concerted and birth-and-death evolution of 26S ribosomal DNA in Camellia L.

BACKGROUND AND AIMS: The ribosomal DNA (rDNA) gene family, encoding ribosomal RNA (rRNA), has long been regarded as an archetypal example illustrating the model of concerted evolution. However, controversy is arising, as rDNA in many eukaryotic species has been proved to be polymorphic. Here, a metagenomic strategy was applied to detect the intragenomic polymorphism as well as the evolutionary patterns of 26S rDNA across the genus Camellia. METHODS: Degenerate primer pairs were designed to amplify the 26S rDNA fragments from different Camellia species. The amplicons were then paired-end sequenced on the Illumina MiSeq platform. KEY RESULTS: An extremely high level of rDNA polymorphism existed universally in Camellia. However, functional rDNA was still the major component of the family, and was relatively conserved among different Camellia species. Sequence variations mainly came from rRNA pseudogenes and favoured regions that are rich in GC. Specifically, some rRNA pseudogenes have existed in the genome for a long time, and have even experienced several expansion events, which has greatly enriched the abundance of rDNA polymorphism. CONCLUSIONS: Camellia represents a group in which rDNA is subjected to a mixture of concerted and birth-and-death evolution. Some rRNA pseudogenes may still have potential functions. Conversely, when released from selection constraint, they can evolve in the direction of decreasing GC content and structural stability through a methylation-induced process, and finally be eliminated from the genome.

Effects of parental genetic divergence on gene expression patterns in interspecific hybrids of Camellia.

BACKGROUND: The merging of two divergent genomes during hybridization can result in the remodeling of parental gene expression in hybrids. A molecular basis underling expression change in hybrid is regulatory divergence, which may change with the parental genetic divergence. However, there still no unanimous conclusion for this hypothesis. RESULTS: Three species of Camellia with a range of genetic divergence and their F1 hybrids were used to study the effect of parental genetic divergence on gene expression and regulatory patterns in hybrids by RNA-sequencing and allelic expression analysis. We found that though the proportion of differentially expressed genes (DEGs) between the hybrids and their parents did not increase, a greater proportion of DEGs would be non-additively (especially transgressively) expressed in the hybrids as genomes between the parents become more divergent. In addition, the proportion of genes with significant evidence of cis-regulatory divergence increased, whereas with trans-regulatory divergence decreased with parental genetic divergence. CONCLUSIONS: The discordance within hybrid would intensify as the parents become more divergent, manifesting as more DEGs would be non-additively expressed. Trans-regulatory divergence contributed more to the additively inherited genes than cis, however, its contribution to expression difference would be weakened as cis mutations accumulated over time; and this might be an important reason for that the more divergent the parents are, the greater proportion of DEGs would be non-additively expressed in hybrid.

Zuo Gui Wan Promotes Osteogenesis via PI3K/AKT Signaling Pathway: Network Pharmacology Analysis and Experimental Validation.

OBJECTIVE: Osteogenesis is vitally important for bone defect repair, and Zuo Gui Wan (ZGW) is a classic prescription in traditional Chinese medicine (TCM) for strengthening bones. However, the specific mechanism by which ZGW regulates osteogenesis is still unclear. The current study is based on a network pharmacology analysis to explore the potential mechanism of ZGW in promoting osteogenesis. METHODS: A network pharmacology analysis followed by experimental validation was applied to explore the potential mechanisms of ZGW in promoting the osteogenesis of bone marrow mesenchymal stem cells (BMSCs). RESULTS: In total, 487 no-repeat targets corresponding to the bioactive components of ZGW were screened, and 175 target genes in the intersection of ZGW and osteogenesis were obtained. And 28 core target genes were then obtained from a PPI network analysis. A GO functional enrichment analysis showed that the relevant biological processes mainly involve the cellular response to chemical stress, metal ions, and lipopolysaccharide. Additionally, KEGG pathway enrichment analysis revealed that multiple signaling pathways, including the phosphatidylinositol-3-kinase/protein kinase B (PI3K/AKT) signaling pathway, were associated with ZGW-promoted osteogensis. Further experimental validation showed that ZGW could increase alkaline phosphatase (ALP) activity as well as the mRNA and protein levels of ALP, osteocalcin (OCN), and runt related transcription factor 2 (Runx 2). What's more, Western blot analysis results showed that ZGW significantly increased the protein levels of p-PI3K and p-AKT, and the increases of these protein levels significantly receded after the addition of the PI3K inhibitor LY294002. Finally, the upregulated osteogenic-related indicators were also suppressed by the addition of LY294002. CONCLUSION: ZGW promotes the osteogenesis of BMSCs via PI3K/AKT signaling pathway.

Predicting BRAFV600E mutations in papillary thyroid carcinoma using six machine learning algorithms based on ultrasound elastography.

The most common BRAF mutation is thymine (T) to adenine (A) missense mutation in nucleotide 1796 (T1796A, V600E). The BRAFV600E gene encodes a protein-dependent kinase (PDK), which is a key component of the mitogen-activated protein kinase pathway and essential for controlling cell proliferation, differentiation, and death. The BRAFV600E mutation causes PDK to be activated improperly and continuously, resulting in abnormal proliferation and differentiation in PTC. Based on elastography ultrasound (US) radiomic features, this study seeks to create and validate six distinct machine learning algorithms to predict BRAFV6OOE mutation in PTC patients prior to surgery. This study employed routine US strain elastography image data from 138 PTC patients. The patients were separated into two groups: those who did not have the BRAFV600E mutation (n = 75) and those who did have the mutation (n = 63). The patients were randomly assigned to one of two data sets: training (70%), or validation (30%). From strain elastography US images, a total of 479 radiomic features were retrieved. Pearson's Correlation Coefficient (PCC) and Recursive Feature Elimination (RFE) with stratified tenfold cross-validation were used to decrease the features. Based on selected radiomic features, six machine learning algorithms including support vector machine with the linear kernel (SVM_L), support vector machine with radial basis function kernel (SVM_RBF), logistic regression (LR), Naïve Bayes (NB), K-nearest neighbors (KNN), and linear discriminant analysis (LDA) were compared to predict the possibility of BRAFV600E. The accuracy (ACC), the area under the curve (AUC), sensitivity (SEN), specificity (SPEC), positive predictive value (PPV), negative predictive value (NPV), decision curve analysis (DCA), and calibration curves of the machine learning algorithms were used to evaluate their performance. ① The machine learning algorithms' diagnostic performance depended on 27 radiomic features. ② AUCs for NB, KNN, LDA, LR, SVM_L, and SVM_RBF were 0.80 (95% confidence interval [CI]: 0.65-0.91), 0.87 (95% CI 0.73-0.95), 0.91(95% CI 0.79-0.98), 0.92 (95% CI 0.80-0.98), 0.93 (95% CI 0.80-0.98), and 0.98 (95% CI 0.88-1.00), respectively. ③ There was a significant difference in echogenicity,vertical and horizontal diameter ratios, and elasticity between PTC patients with BRAFV600E and PTC patients without BRAFV600E. Machine learning algorithms based on US elastography radiomic features are capable of predicting the likelihood of BRAFV600E in PTC patients, which can assist physicians in identifying the risk of BRAFV600E in PTC patients. Among the six machine learning algorithms, the support vector machine with radial basis function (SVM_RBF) achieved the best ACC (0.93), AUC (0.98), SEN (0.95), SPEC (0.90), PPV (0.91), and NPV (0.95).

A comparison of DP-TOF Mass Spectroscopy (MS) and Next Generation Sequencing (NGS) methods for detecting molecular mutations in thyroid nodules fine needle aspiration biopsies.

Mutations in the B-Raf proto-oncogene, serine/threonine kinase (BRAF), have been linked to a variety of solid tumors such as papillary thyroid carcinoma. The purpose of this study was to compare the DP-TOF, a DNA mass spectroscopy (MS) platform, and next-generation sequencing (NGS) methods for detecting multiple-gene mutations (including BRAFV600E) in thyroid nodule fine-needle aspiration fluid. In this study, we collected samples from 93 patients who had previously undergone NGS detection and had sufficient DNA samples remaining. The MS method was used to detect multiple-gene mutations (including BRAFV600E) in DNA remaining samples. NGS detection method was used as the standard. The MS method's overall sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were 95.8%, 100%, 100%, and 88%, respectively in BRAFV600E gene mutation detection. With a kappa-value of 0.92 (95%CI 0.82-0.99), the level of agreement between these methods was incredibly high. Furthermore, when compared to NGS in multiple-gene detection, the MS method demonstrated higher sensitivity and specificity, 82.9% and 100%, respectively. In addition, we collected the postoperative pathological findings of 50 patients. When the postoperative pathological findings were used as the standard, the MS method demonstrated higher sensitivity and specificity, at 80% and 80%, respectively. Our findings show that the MS method can be used as an inexpensive, accurate, and dependable initial screening method to detect genes mutations and as an adjunct to clinical diagnosis.

Evaluation of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma Using Clinical-Ultrasound Radiomic Machine Learning-Based Model.

We aim to develop a clinical-ultrasound radiomic (USR) model based on USR features and clinical factors for the evaluation of cervical lymph node metastasis (CLNM) in patients with papillary thyroid carcinoma (PTC). This retrospective study used routine clinical and US data from 205 PTC patients. According to the pathology results, the enrolled patients were divided into a non-CLNM group and a CLNM group. All patients were randomly divided into a training cohort (n = 143) and a validation cohort (n = 62). A total of 1046 USR features of lesion areas were extracted. The features were reduced using Pearson's Correlation Coefficient (PCC) and Recursive Feature Elimination (RFE) with stratified 15-fold cross-validation. Several machine learning classifiers were employed to build a Clinical model based on clinical variables, a USR model based solely on extracted USR features, and a Clinical-USR model based on the combination of clinical variables and USR features. The Clinical-USR model could discriminate between PTC patients with CLNM and PTC patients without CLNM in the training (AUC, 0.78) and validation cohorts (AUC, 0.71). When compared to the Clinical model, the USR model had higher AUCs in the validation (0.74 vs. 0.63) cohorts. The Clinical-USR model demonstrated higher AUC values in the validation cohort (0.71 vs. 0.63) compared to the Clinical model. The newly developed Clinical-USR model is feasible for predicting CLNM in patients with PTC.

Radiomic Model for Determining the Value of Elasticity and Grayscale Ultrasound Diagnoses for Predicting BRAFV600E Mutations in Papillary Thyroid Carcinoma.

BRAFV600E is the most common mutated gene in thyroid cancer and is most closely related to papillary thyroid carcinoma(PTC). We investigated the value of elasticity and grayscale ultrasonography for predicting BRAFV600E mutations in PTC. Methods: 138 patients with PTC who underwent preoperative ultrasound between January 2014 and 2021 were retrospectively examined. Patients were divided into BRAFV600E mutation-free group (n=75) and BRAFV600E mutation group (n=63). Patients were randomly divided into training (n=96) and test (n=42) groups. A total of 479 radiomic features were extracted from the grayscale and elasticity ultra-sonograms. Regression analysis was done to select the features that provided the most information. Then, 10-fold cross-validation was used to compare the performance of different classification algorithms. Logistic regression was used to predict BRAFV600E mutations. Results: Eight radiomics features were extracted from the grayscale ultrasonogram, and five radiomics features were extracted from the elasticity ultrasonogram. Three models were developed using these radiomic features. The models were derived from elasticity ultrasound, grayscale ultrasound, and a combination of grayscale and elasticity ultrasound, with areas under the curve (AUC) 0.952 [95% confidence interval (CI), 0.914-0.990], AUC 0.792 [95% CI, 0.703-0.882], and AUC 0.985 [95% CI, 0.965-1.000] in the training dataset, AUC 0.931 [95% CI, 0.841-1.000], AUC 0. 725 [95% CI, 0.569-0.880], and AUC 0.938 [95% CI, 0.851-1.000] in the test dataset, respectively. Conclusion: The radiomic model based on grayscale and elasticity ultrasound had a good predictive value for BRAFV600E gene mutations in patients with PTC.

Effect of Modified Xijiao Dihuang Decoction () on Intestinal Flora and Th17/Treg in Rats with Radiation Enteritis.

OBJECTIVE: To observe the effect of Modified Xijiao Dihuang Decoction (, MXDD) on rats with radiation enteritis, and explore its action mechanism. METHODS: Thirty female Sprague Dawley rats were divided into the control, model, dexamethasone (DXM), golden bifid (GB) and MXDD groups using random number table, 6 rats in each group. Except the control group, the other rats were developed into radiation enteritis model by exposing to a single 60Co-γ ray at a dose of 11 Gy. The rats in the DXM, GB and MXDD groups were treated with DXM (1.425 mg/kg), GB (0.8 g/kg) and MXDD (36.0 g/kg) for 3 days, respectively. Body weight and diarrhea condition of rats were evaluated daily. On day 3, the feces of rats were collected for intestinal flora detection and the small intestinal tissues were also collected. Bacterial species annotation, alpha and beta diversities as well as composition of intestinal flora were detected and compared. The protein and mRNA expressions of interleukin 17 (IL-17), retinoid-related orphan nuclear receptor gamma t (ROR-γt) and forkhead/ winged helix transcription factor p3 (FoxP3) were determined by Western blot and polymerase chain reaction, respectively. The abundance and diversity of intestinal flora as well as the proportion at the phylum and genus levels were assayed by 16S rRNA metagenome sequencing. Correlation between intestinal flora and Th17/Treg was analyzed by heatmap method. RESULTS: On day 1 to 3 after radiation, compared with the control group, the body weight in model group was decreased (P<0.05 or P<0.01). Compared with the model group, MXDD could alleviate weight loss and diarrhea caused by irradiation. At the phylum level, MXDD cause a significant increase in Firmicutes, and a decrease in Proteobacteria (P<0.05 or P<0.01). At the genus level, MXDD reduced the proportion of Escherichia Shigella (P<0.01). In addition, IL-17 and FoxP3 mRNA and protein expression levels were down-regulated and ROR-γt was up-regulated by MXDD treatment (P<0.05). Besides, Firmicutes and Lactobacillus were positively correlated with FoxP3 (r=0.73, 0.79, respectively; P<0.01), negatively correlated with IL-17 (r=0.66, 0.64, respectively; P<0.01 or P<0.05) and ROR-γt (r0.73, 0.81, respectively; P<0.01). Proteobacteria and Escherichia Shigella both had positive correlation with IL-17 (r 0.77, 0.57, respectively; P<0.01 or P<0.05 ) and ROR-γt (r=0.94, 0.79, respectively; P<0.01) and negative correlation with FoxP3 (r0.74, 0.65; P<0.01). CONCLUSION: MXDD could improve the survival status of irradiated rats by regulating the richness, diversity and composition of intestinal flora, and restoring the balance of Th17/Treg.

Humic acid improves the physiological and photosynthetic characteristics of millet seedlings under drought stress.

We aimed to determine whether humic acid (HA) can alleviate the injury of millet caused by drought and its potential mechanism. Millet seeds (Jingu 21 and Zhangza 10) were soaked in different concentrations of HA (0, 50, 10, 200, and 300 mg L-1) for 12 h. The physiological and photosynthetic characteristics of millet seedlings, including growth parameters, osmotic regulators, antioxidase activity, photosynthesis, chlorophyll fluorescence, and P700 parameters, were determined before and after drought stress. HA significantly promoted the growth of millet seedlings under drought stress. Pretreatment with 100 mg L-1 or 200 mg L-1 HA significantly increased free proline, soluble protein, and activity of the antioxidant enzyme system (superoxide dismutase, peroxidase, and catalase) in both Zhangza 10 and Jingu 21. The accumulation of reactive oxygen species ([Formula: see text] and H2O2) was reduced in HA treatments compared with that of the control (P < .05). Moreover, HA (100 mg L-1) significantly increased net photosynthetic rate, stomatal conductance, effective quantum yield of photosystem II, relative photosynthetic electron transfer rate of photosystem II, and photochemical quenching. HA also reduced intercellular CO2 concentration and non-photochemical quenching. Furthermore, 200 mg L-1 HA significantly increased the maximum P700, effective quantum yield of photosystem I, and relative photosynthetic electron transfer rate of photosystem I in Zhangza 10 and decreased non-photochemical energy dissipation in Jingu 21 and Zhangza 10 under drought stress. HA promoted the growth of millet seedlings under drought stress by promoting the osmotic adjustment ability and antioxidant capacity of seedlings and increased photosynthesis.

BuPiHeWei Decoction Ameliorates 5-Fu-Induced Intestinal Mucosal Injury in the Rats by Regulating the TLR-4/NF-κB Signaling Pathway.

BuPiHeWei (BPHW) decoction, a classic Traditional Chinese Medicinal (TCM) prescription, has been widely used in clinical practice to relieve digestive symptoms caused by chemotherapy, such as diarrhea and vomiting. The present study aimed to investigate whether BPHW decoction exerted a protective role in the 5-Fu-induced intestinal mucosal injury in the rats by regulating the mechanisms of TLR-4/NF-κB signaling pathway. There were 35 Sprague Dawley rats randomly divided into four groups: normal control group, 5-Fu group, 5-Fu + BPHW decoction group (10.5 g/kg, for five continuous days), and 5-Fu + Bacillus licheniformis capsule group (0.2 g/kg, for five continuous days). Animal models were established by intraperitoneal injection of 5-Fu (30 mg/Kg, for five consecutive days). At the end of the treatment period, body weight, diarrhea score, and histological examination were examined. Furthermore, the expression of TLR-4/NF-κB pathway was detected to reveal its mechanism. The results showed that BPHW decoction effectively reduced diarrhea score and increased body weight and height of villi after 5-Fu chemotherapy. In addition, BPHW decoction could significantly inhibit the expression of TLR-4, NF-κB, and inflammatory factors (including TNF-α, IL-1ß, and IL-6) in the intestine, and the efficacy was significantly higher than that of Bacillus licheniformis capsule. In summary, BPHW decoction might be considered an effective drug to alleviate intestinal mucosal injury in the rats induced by 5-Fu.

Astragalus membranaceus and Salvia miltiorrhiza Ameliorate Lipopolysaccharide-Induced Acute Lung Injury in Rats by Regulating the Toll-Like Receptor 4/Nuclear Factor-Kappa B Signaling Pathway.

Astragalus membranaceus and Salvia miltiorrhiza (AM/SM) are well used in Traditional Chinese Medicines (TCM) for nourishing Qi and activating blood circulation method. From TCM theory, the pathogenesis of acute lung injury (ALI) was determined as Qi deficiency and blood stagnation. In this study, we are aiming to investigate the protective and therapeutic effects of AM/SM on a rat model of lipopolysaccharide- (LPS-) induced ALI in rats and to elucidate potential molecular mechanisms. ALI was induced by intratracheal instillation of LPS (5 mg/kg) in Sprague-Dawley rats. SM/AM was given orally before and after LPS administration. Results demonstrated that AM/SM attenuated lung histopathological changes induced by LPS, decreased wet/dry weight ratios and protein concentrations, and inhibited the production of tumor necrosis factor-alpha (TNF-α) and interleukin-6 (IL-6) in BALF. Moreover, AM/SM significantly downregulated protein and mRNA expression of toll-like receptors 4 (TLR-4), interleukin-1 receptor-associated kinase-1 (IRAK-1), and nuclear factor-kappa B (NF-κB/p65). These findings suggest that AM/SM showed protective and therapeutic effects in LPS-induced ALI rat through modulating TLR-4 signaling pathways. Nourishing Qi and activating blood circulation may be a beneficial treatment for ALI.

[Effects of divergent habitat on genetic structure of population of Excoecaria agallocha, a mangrove associate].

Genetic diversity and population genetic structure of Excoecaria agallocha, a typical mangrove associate species,were surveyed at divergent habitats (intertidal and inland). In general, intertidal populations had higher genetic diversity than inland populations. Genetic differentiation among intertidal populations (G(ST) = 0.191) were smaller than that among inland populations (G(ST) = 0.218), suggesting that gene flow via seed among intertidal populations were stronger. In an analysis of molecular variance (AMOVA), we found that 15.13% of the genetic variance could be explained by the differentiation between habitats, as compared to only 11.63% to geographical effects among five sits 181 -759 km distant from each other. This implies that markedly selection regimes result in habitat adaptation. Isolation-by-distance, Southwest Monsoon Current,China Coastal Current and genetic drift played important role in genetic differentiation of China population of Excoecaria agalocha.

[Effects of exogenous EBR and NO signal on antioxidant system and low response gene expression under cold stress on maize embryo].

In this study, Xianyu 335, a maize hybrid, was used to investigate the effects of 24-Epibrassinolide (EBR, a synthetic BR) on antioxidant capacity and low-temperature response gene expression in maize embryo germination under low temperature (LT) stress. The germination rate of maize seeds under LT stress was not affected by EBR, but the seed activity index and seedling growth were improved. EBR increased the activities of some antioxidative enzymes including SOD, POD, CAT and GR, and the contents of non-enzymatic antioxidants, such as GSH and proline, and induced the accumulation of nitric oxide (NO). NO scavenging c-PTIO and NOS inhibitor L- NAME decreased but NO donor SNP increased the enzyme activities of CAT and POD, and the content of proline, indicating NO mediated the EBR-induced antioxidant capacity. The gene expression pattern analysis showed that the expression of P5CS1, CBF1, CBF3 and COR15a was induced by LT stress, and further increased by EBR treatment in maize embryo, while their expression was suppressed by c-PTIO and L-NAME, and improved by SNP, which implied LT-responsed genes were regulated by NO. These results demonstrated that NO was involved in the EBR-induced LT tolerance in maize embryo by modulating the antioxidative capacity and the expression of LT-responsive genes.