荧光假单胞菌抗噬菌体菌株的选育

本实验从荧光假单胞菌（Ｐｓｅｕｄｏｍｏｎａｓｆｌｕｏｒｅｓｃｅｎｓ）ＡＳ—３菌株的不正常发酵液中分离到一种噬菌体,将其命名为ＰＦＡＳ。ＡＳ—３菌株能利用葡萄糖发酵产生Ｄ－异维生素Ｃ的前体物质２－酮基－Ｄ－葡萄糖酸。电镜观察表明ＰＦＡＳ噬菌体呈蝌蚪形,具有直径为６６ｎｍ的六角形头部及长１１７ｎｍ的尾部。通过紫外线诱变及自然选育两种途径,配合简便有效的初筛方法,经多次分离、纯化、复筛最终在摇并发酵试验中获得６株产量稳定地高于对照敏感菌的抗噬菌体菌株,可望用于生产。     

生物有机肥对菠萝心腐病及根际土壤细菌群落的影响

【目的】探明施用生物有机肥对菠萝心腐病的防控效果及对根际土壤微生物的影响。【方法】本研究采用高通量测序技术,综合分析不同施肥措施根际土壤微生物细菌群落多样性及群落特征。【结果】相比常规施肥处理(CK)和普通有机肥处理(YJ),生物有机肥处理KN (羊粪有机肥+泥炭土+枯草芽孢杆菌)和生物有机肥处理KY (羊粪有机肥+椰糠+枯草芽孢杆菌)均能显著降低菠萝心腐病的发病率,且KN处理的防控效果最佳。生物有机肥(KN、KY)施入后土壤细菌α多样性指数高于CK和YJ处理,并形成了明显不同的细菌群落结构。与CK相比,生物有机肥KN处理显著提高了拟杆菌门(Bacteroidetes)和厚壁菌门(Firmicutes)的丰度,KY处理中的酸杆菌门(Acidobacteria)、绿弯菌门(Chloroflexi)、芽单胞菌门(Gemmatimonadetes)、硝化螺旋菌门(Nitrospirae)丰度显著增加;属水平上,生物有机肥中的蔗糖伯克霍尔德菌属(Paraburkholderia)和黄杆菌属(Flavobacterium)丰度均显著提升。方差分区分析(variance partitioning analysis, VPA)表明,土壤化学性质(36.29%)对细菌群落影响最大,其中土壤速效钾和有机质是影响土壤细菌群落的关键因子,此外发病率(22.53%)和肥料偏生产力(16.42%)也是影响土壤细菌群落的重要因子。【结论】施用生物有机肥(KN、KY)能改变根际土壤细菌群落结构,降低发病率,对菠萝根际土壤生态系统稳定与健康具有重要意义。     

Vero细胞毒素大肠菌（VTEC）的分离及表型和分子生物学特性的研究

２６株Ｖｅｒｏ细胞毒素（ＶＴ）阳性大肠菌,经分子生物学鉴定表明,其中１４株与ＥＨＥＣ探针杂交阳性,按Ｌｅｖｉｎｅ等的标准判定属产Ｖｅｒｏ细胞毒素大肠菌（ＶＴＥＣ）,其血清型为Ｏ_１５７：Ｈ_７３株（血便２株,脓血便１株）,Ｏ_２５７ＮＭ３株（血便１株,腹泻牛便２株）,Ｏ_２９样便１株）;其余１２株虽ＶＴ毒素阳性,但ＥＨＥＣ探针阴性,按标准判定尚难确认,有待进一步研究。     

Allotransplantation of adult spinal cord tissues after complete transected spinal cord injury: Long-term survival and functional recovery in canines

Science China Life Sciences - Spinal cord injury (SCI), especially complete transected SCI, leads to loss of cells and extracellular matrix and functional impairments. In a previous study, we...     

人尿源性干细胞及人脐带间充质干细胞的生物学性状比较

该研究探讨人尿源性干细胞(human urine-derived stem cells,hUSCs)及人脐带间充质干细胞(human umbilical cord mesenchymal stem cells,hUC-MSCs)的生物学性状差异。分离培养hUSCs及hUC-MSCs,显微镜下观察细胞形态,流式细胞术检测干细胞表面标记物,锥虫蓝拒染实验及克隆形成实验检测细胞增殖能力,划痕实验及Transwell迁移实验检测细胞迁移能力,碱性磷酸酶(alkaline phosphatase,ALP)染色、茜素红染色、油红O染色及阿利新蓝染色评估多向分化潜能。hUSCs为米粒状贴壁生长细胞,hUC-MSCs为长梭形贴壁细胞,呈旋涡状排列生长,两种细胞表型分析相似,均表达多种间充质干细胞标志物,但CD24在hUC-MSCs表达阳性,而CD105在hUSCs表达阳性。hUC-MSCs的增殖及迁移能力优于hUSCs,但后者的克隆形成能力更强。hUSCs及hUCMSCs都具有成骨、成脂、成软骨分化能力,hUC-MSCs的成骨能力强而hUSCs的成脂能力强。该研究成功分离培养出增殖能力强并具有多向分化潜能的hUSCs,该细胞与hUC-MSCs相比具有相似的生物学性状,可作为再生医学自体移植的理想种子细胞来源。     

A Novel Approach for Prediction of Vitamin D Status Using Support Vector Regression

Background

Epidemiological evidence suggests that vitamin D deficiency is linked to various chronic diseases. However direct measurement of serum 25-hydroxyvitamin D (25(OH)D) concentration, the accepted biomarker of vitamin D status, may not be feasible in large epidemiological studies. An alternative approach is to estimate vitamin D status using a predictive model based on parameters derived from questionnaire data. In previous studies, models developed using Multiple Linear Regression (MLR) have explained a limited proportion of the variance and predicted values have correlated only modestly with measured values. Here, a new modelling approach, nonlinear radial basis function support vector regression (RBF SVR), was used in prediction of serum 25(OH)D concentration. Predicted scores were compared with those from a MLR model.

Methods

Determinants of serum 25(OH)D in Caucasian adults (n = 494) that had been previously identified were modelled using MLR and RBF SVR to develop a 25(OH)D prediction score and then validated in an independent dataset. The correlation between actual and predicted serum 25(OH)D concentrations was analysed with a Pearson correlation coefficient.

Results

Better correlation was observed between predicted scores and measured 25(OH)D concentrations using the RBF SVR model in comparison with MLR (Pearson correlation coefficient: 0.74 for RBF SVR; 0.51 for MLR). The RBF SVR model was more accurately able to identify individuals with lower 25(OH)D levels (<75 nmol/L).

Conclusion

Using identical determinants, the RBF SVR model provided improved prediction of serum 25(OH)D concentrations and vitamin D deficiency compared with a MLR model, in this dataset.     

Role of Tomato Lipoxygenase D in Wound-Induced Jasmonate Biosynthesis and Plant Immunity to Insect Herbivores

In response to insect attack and mechanical wounding, plants activate the expression of genes involved in various defense-related processes. A fascinating feature of these inducible defenses is their occurrence both locally at the wounding site and systemically in undamaged leaves throughout the plant. Wound-inducible proteinase inhibitors (PIs) in tomato (Solanum lycopersicum) provide an attractive model to understand the signal transduction events leading from localized injury to the systemic expression of defense-related genes. Among the identified intercellular molecules in regulating systemic wound response of tomato are the peptide signal systemin and the oxylipin signal jasmonic acid (JA). The systemin/JA signaling pathway provides a unique opportunity to investigate, in a single experimental system, the mechanism by which peptide and oxylipin signals interact to coordinate plant systemic immunity. Here we describe the characterization of the tomato suppressor of prosystemin-mediated responses8 (spr8) mutant, which was isolated as a suppressor of (pro)systemin-mediated signaling. spr8 plants exhibit a series of JA-dependent immune deficiencies, including the inability to express wound-responsive genes, abnormal development of glandular trichomes, and severely compromised resistance to cotton bollworm (Helicoverpa armigera) and Botrytis cinerea. Map-based cloning studies demonstrate that the spr8 mutant phenotype results from a point mutation in the catalytic domain of TomLoxD, a chloroplast-localized lipoxygenase involved in JA biosynthesis. We present evidence that overexpression of TomLoxD leads to elevated wound-induced JA biosynthesis, increased expression of wound-responsive genes and, therefore, enhanced resistance to insect herbivory attack and necrotrophic pathogen infection. These results indicate that TomLoxD is involved in wound-induced JA biosynthesis and highlight the application potential of this gene for crop protection against insects and pathogens.     

Molecular characterization of field resistance to Fusarium head blight in two US soft red winter wheat cultivars

In the soft red winter wheat (Triticum aestivum L.) regions of the US, Fusarium head blight (FHB, caused by Fusarium spp.) resistance derived from locally adapted germplasm has been used predominantly. Two soft red winter wheat cultivars, Massey and Ernie, have moderate resistance to FHB. Mapping populations derived from Becker/Massey (B/M) and Ernie/MO 94-317 (E/MO) were evaluated for FHB resistance and other traits in multiple environments. Eight QTL in B/M and five QTL in E/MO were associated with FHB variables including incidence, severity (SEV), index (IND), Fusarium damaged kernels (FDK), deoxynivalenol (DON), and morphological traits flowering time and plant height. Four QTL were common to both populations. Three of them were located at or near known genes: Ppd-D1 on chromosome 2DS, Rht-B1 on 4BS, and Rht-D1 on 4DS. Alleles for dwarf plant height (Rht-B1b and Rht-D1b) and photoperiod insensitivity (Ppd-D1a) had pleiotropic effects in reducing height and increasing FHB susceptibility. The other QTL detected for FHB variables were on 3BL in both populations, 1AS, 1DS, 2BL, and 4DL in B/M, and 5AL (B1) and 6AL in E/MO. The additive effects of FHB variables ranged from 0.4 mg kg^?1 of DON to 6.2 % for greenhouse (GH) SEV in B/M and ranged from 0.3 mg kg^?1 of DON to 8.3 % for GH SEV in E/MO. The 4DS QTL had epistasis with Ppd-D1, Qdon.umc-6AL, and Qht.umc-4BS, and additive × additive × environment interactions with the 4BS QTL for SEV, IND, and FDK in E/MO. Marker-assisted selection might be used to enhance FHB resistance through selection of favorable alleles of significant QTL, taking into account genotypes at Rht-B1b, Rht-D1a and Ppd-D1a.     

Speeding up Monte Carlo molecular simulation by a non-conservative early rejection scheme

Monte Carlo (MC) molecular simulation describes fluid systems with rich information, and it is capable of predicting many fluid properties of engineering interest. In general, it is more accurate and representative than equations of state. On the other hand, it requires much more computational effort and simulation time. For that purpose, several techniques have been developed in order to speed up MC molecular simulations while preserving their precision. In particular, early rejection schemes are capable of reducing computational cost by reaching the rejection decision for the undesired MC trials at an earlier stage in comparison to the conventional scheme. In a recent work, we have introduced a ‘conservative’ early rejection scheme as a method to accelerate MC simulations while producing exactly the same results as the conventional algorithm. In this paper, we introduce a ‘non-conservative’ early rejection scheme, which is much faster than the conservative scheme, yet it preserves the precision of the method. The proposed scheme is tested for systems of structureless Lennard-Jones particles in both canonical and NVT-Gibbs ensembles. Numerical experiments were conducted at several thermodynamic conditions for different number of particles. Results show that at certain thermodynamic conditions, the non-conservative method is capable of doubling the speed of the MC molecular simulations in both canonical and NVT-Gibbs ensembles.