To explore the effects of supplementing a basal diet with green sweet sorghum stalks on the gut microbiota in geese, one hundred and twenty 28-day-old geese were divided into two groups. Group 1 was fed a basal diet and group 2 was fed 92% of the same basal diet with green sweet sorghum stalks ad libitum for 42 days. Three male geese from each group were killed at 70 days old, four gastrointestinal tract segments (duodenum, jejunum, ileum, and caecum) were collected, and the hypervariable V4 region of the bacterial 16S rRNA gene was sequenced. There were obvious changes of microbiome in the caecum compared with the other three intestinal segments after green sweet sorghum stalks were added to the diet. Group 2 had significantly higher alpha diversity in the caecum compared with group 1 (P <0.05). The phyla of bacterial communities in the caecum differed. Group 2 had more abundant Bacteroidetes and Firmicutes, but Proteobacteria were more abundant in group 1. At genus level, Bacteroides was more prevalent in group 2, as were Prevotella and YRC22 (P <0.05). Functional analysis revealed that the carbohydrate metabolism, membrane transport, endocrine system and digestive system metabolic pathways were overrepresented in group 2. In conclusion, caecal microbes might play an important role in digesting green sweet sorghum stalks in geese.

Naringin is a major flavanone derivate that has many important biological functions in animals. However, its effect on pigs is unknown. The aim of this study was to investigate the effect of naringin supplementation on performance, carcass traits, meat quality and oxidative stability in finishing pigs. Ninety-six pigs, with an average initial body weight of 66.2 ± 0.63 kg, were randomly divided into four groups. One group was fed a basal diet without supplementation (control), and the three others were fed diets supplemented with 0.5, 1.0 or 1.5 g naringin /kg DM of feed for 50 days. Each treatment was replicated six times with four pigs per replicate. Feed and water were available ad libitum. The 0.5 g/kg naringin treatment group had an improved loin eye muscle area, reduced serum triglycerides and were leaner compared with the other groups. Pigs in the 1.5 g/kg naringin treatment had higher pH45min values and inosine monophosphate concentrations, and lower MyHC IIb mRNA expression in muscle than the other groups. MyHC IIa mRNA expression was significantly up-regulated in all naringin-supplemented diet groups. Naringin significantly increased superoxide dismutase (SOD) activity and total anti-oxidative capacity in meat, as well as SOD and glutathione peroxidase activity in the liver. These results indicate that the dietary addition of naringin at 0.5 g/kg improved carcass characteristics, while 1.5 g/kg improved the oxidative stability and pork quality in finishing pigs.

Resumo Poliploides sintéticos são materias fundamentais para melhoramento genético da melancia. Comparativamente ao seu homólogo diploide, a melancia tetraploide apresenta amplas diferenças genotípica e fenotípica e diferença de expressão gênica. A expressão gênica digital ou DGE (digital gene expression) foi utilizada neste estudo para representar o perfil de expressão gênica da melancia autotetraploide e seu progenitor diploide e a expressão diferencial de genes relacionados ao estresse biótico e abiótico. Os resultados mostraram que 4.985 DEGs foram observados no organismo autotetraploide, sendo que, deste total, 66.02%foram supra-regulados. A análise de ontologia gênica (GO) mostrou que estes DEGs estão relacionados principalmente com processos metabólicas, célula e atividade catalítica, abrangendo de acordo com a análise de genes e genoma (KEGG) rotas metabólicas, metabolismo secundário e ribossomos. Além disso, 134 genes de defesa foram identificados, abrangendo substâncias de ajuste osmótico, enzimas/proteínas de proteção, proteínas sinalizadoras e proteínas relacionadas à patogênese. Este estudo mostrou a expressão diferencial de genes relacionados ao estresse e o perfil global de expressão gênica de melancia autotetraploide, estes resultados podem complementar, a nível molecular, o entendimento do fator resistência após a duplicação do genoma em cucurbitáceas.

Abstract Synthetic polyploids are key breeding materials for watermelon. Compared with diploid watermelon, the tetraploid watermelon often exhibit wide phenotypic differences and differential gene expression. Digital gene expression (DGE) profile technique was performed in this study to present gene expression patterns in an autotetraploid and its progenitor diploid watermelon, and deferentially expressed genes (DEGs) related to the abiotic and biotic stress were also addressed. Altogether, 4,985 DEGs were obtained in the autotetraploid against its progenitor diploid, and 66.02% DEGs is up-regulated. GO analysis shows that these DEGs mainly distributed in ‘metabolic process’, ‘cell’ and ‘catalytic activity’. KEGG analysis revealed that these DEGs mainly cover ‘metabolic pathways’, ‘secondary metabolites’ and ‘ribosome’. Moreover, 134 tolerance related DEGs were identified which cover osmotic adjustment substance, protective enzymes/protein, signaling proteins and pathogenesis-related proteins. This study present the differential expression of stress related genes and global gene expression patterns at background level in autotetraploid watermelons. These new evidences could supplement the molecular theoretical basis for the better resistance after the genome doubling in the gourd family.

Multiple growth factors can be administered to mimic the natural process of bone healing in bone tissue engineering. We investigated the effects of sequential release of bone morphogenetic protein-2 (BMP-2) and vascular endothelial growth factor (VEGF) from polylactide-poly (ethylene glycol)-polylactide (PELA) microcapsule-based scaffolds on bone regeneration. To improve the double emulsion/solvent evaporation technique, VEGF was encapsulated in PELA microcapsules, to which BMP-2 was attached. The scaffold (BMP-2/PELA/VEGF) was then fused to these microcapsules using the dichloromethane vapor method. The bioactivity of the released BMP-2 and VEGF was then quantified in rat mesenchymal stem cells (rMSCs). Immunoblotting analysis showed that BMP-2/PELA/VEG promoted the differentiation of rMSCs into osteoblasts via the MAPK and Wnt pathways. Osteoblast differentiation was assessed through alkaline phosphatase expression. When compared with simple BMP-2 plus VEGF group and pure PELA group, osteoblast differentiation in BMP-2/PELA/VEGF group significantly increased. An MTT assay indicated that BMP-2-loaded PELA scaffolds had no adverse effects on cell activity. BMP-2/PELA/VEG promoted the differentiation of rMSCs into osteoblast via the ERK1/2 and Wnt pathways. Our findings indicate that the sequential release of BMP-2 and VEGF from PELA microcapsule-based scaffolds is a promising approach for the treatment of bone defects.

We evaluated the effect of puerarin on spatial learning and memory ability of mice with chronic alcohol poisoning. A total of 30 male C57BL/6 mice were randomly divided into model, puerarin, and control groups (n=10 each). The model group received 60% (v/v) ethanol by intragastric administration followed by intraperitoneal injection of normal saline 30 min later. The puerarin group received intragastric 60% ethanol followed by intraperitoneal puerarin 30 min later, and the control group received intragastric saline followed by intraperitoneal saline. Six weeks after treatment, the Morris water maze and Tru Scan behavioral tests and immunofluorescence staining of cerebral cortex and hippocampal neurons (by Neu-N) and microglia (by Ib1) were conducted. Glutamic acid (Glu) and gamma amino butyric acid (GABA) in the cortex and hippocampus were assayed by high-performance liquid chromatography (HPLC), and tumor necrosis factor (TNF)-α and interleukin (IL)-1β were determined by ELISA. Compared with mice in the control group, escape latency and distance were prolonged, and spontaneous movement distance was shortened (P<0.05) by puerarin. The number of microglia was increased in both the cortex and hippocampal dentate gyrus (P<0.01), and neurons were reduced only in the hippocampal dentate gyrus (P<0.01) in puerarin-treated mice. In the model group, Glu and GABA levels decreased (P<0.05), and Glu/GABA, TNF-α, and IL-1β increased (P<0.01) with puerarin treatment, returning to near normal levels. In conclusion, puerarin protected against the effects of chronic alcohol poisoning on spatial learning and memory ability primarily because of anti-inflammatory activity and regulation of the balance of Glu and GABA.

Based on simulations of the transports of a typically formed Chinese intercity passenger train hauled respectively by major types of the locomotives on a certain railway line in China, this research analyzes the changes of the traction energy cost intensity and passenger transport efficiency of the train with varying its passenger capacity utilization rate and target speed. It is found that if the passenger capacity utilization rate of such a train is higher than 60.00%, the effect of its passenger capacity utilization rate and target speed on its traction energy cost intensity and passenger transport efficiency is relatively very small. In contrast, if the passenger capacity utilization rate of the train is reduced from 40.00%, the efficiencies of its traction energy cost and passenger transport both decrease obviously and such decreases are evidently affected by its target speed. Therefore, strictly preventing the passenger capacity utilization rate of a conventional intercity passenger train from decreasing from 40.00% in particular and meanwhile striving to make its passenger capacity utilization rate higher than 60.00% as new evaluation benchmarking are able to effectively improve the railway passenger transport operation management in China.

The distal cytoplasmic motifs of leukemia inhibitory factor receptor α-chain (LIFRα-CT3) can independently induce intracellular myeloid differentiation in acute myeloid leukemia (AML) cells by gene transfection; however, there are significant limitations in the potential clinical use of these motifs due to liposome-derived genetic modifications. To produce a potentially therapeutic LIFRα-CT3 with cell-permeable activity, we constructed a eukaryotic expression pcDNA3.0-TAT-CT3-cMyc plasmid with a signal peptide (ss) inserted into the N-terminal that codes for an ss-TAT-CT3-cMyc fusion protein. The stable transfection of Chinese hamster ovary (CHO) cells via this vector and subsequent selection by Geneticin resulted in cell lines that express and secrete TAT-CT3-cMyc. The spent medium of pcDNA3.0-TAT-CT3-cMyc-transfected CHO cells could be purified using a cMyc-epitope-tag agarose affinity chromatography column and could be detected via SDS-PAGE, with antibodies against cMyc-tag. The direct administration of TAT-CT3-cMyc to HL-60 cell culture media caused the enrichment of CT3-cMyc in the cytoplasm and nucleus within 30 min and led to a significant reduction of viable cells (P < 0.05) 8 h after exposure. The advantages of using this mammalian expression system include the ease of generating TAT fusion proteins that are adequately transcripted and the potential for a sustained production of such proteins in vitro for future AML therapy.

Carrying out regression analysis for gas leakage of pressure-relief valve (PRV) to get accurate leakage flow and changing trend of leakage will be helpful in assessing the reliability of PRV. Classic support vector regression (SVR) is an excellent regression model, and has been widely used in various fields. However, standard SVR model does regression only using leakage data without elements closely related to the leakage considered. In this paper a regression model based on support vector regression plus (SVR+) is put forward to perform leakage regression of PRV, in which particle swarm optimization (PSO) is used to select optimum parameters of SVR+, termed PSO_SVR+. The experimental results demonstrate that the proposed model taking the difference of inlet pressure and outlet pressure of PRV as hidden information can access a more favorable regression precision than SVR can provide. Meanwhile this article also investigates effects of PSO and Genetic Algorithm on the performance of regression model (SVR+ or SVR)