Effect of Bacillus cereus as a water or feed additive on the gut microbiota and immunological parameters of Nile tilapia

We evaluated the effects of Bacillus cereus, as an additive in water and feed, on the gut microbiota and immunological parameters of Nile tilapia (Oreochromis niloticus) fingerlings. Experiments were performed in tanks and net cages respectively. Experiment 1: Tilapia were housed in tanks for 42 days, and B. cereus was added to the water at 1.0 × 10⁴ cfu mL^?1 (Treatment 1) and 1.0 ×10⁵ cfu mL^?1 (Treatment 2) weekly. For the control, no probiotic was added. Experiment 2: Tilapia were housed in cages for 42 days, and the feed was supplemented with B. cereus at 1.0 × 10⁷ cfu g^?1 (Treatment 1) and 1.0 × 10⁸ cfu g^?1 (Treatment 2) weekly. For the control, no probiotic was added. Each treatment contained three replicates, with 50 male tilapias per replicate. The fish from the probiotic treatments in both tank and cage experiments had significantly higher serum lysozyme and peroxidase activities than the control. In the cage experiment, alkaline phosphatase and total superoxide dismutase activities in tilapia were significantly higher in probiotic treatments compared with the control. The results of polymerase chain reaction‐denaturing gradient gel electrophoresis showed that B. cereus supplementation in the feed and water affected the autochthonous gut bacteria community of tilapia and stimulated various potentially beneficial bacteria. Therefore, B. cereus, as a water or feed additive, could enhance the immune status and affect the gut microbiota of tilapia. Bacillus cereus was more effective as a feed supplement rather than a water additive for enhancing the immune status of tilapia.     

土培条件下不同盐分梯度对水稻产量及其生理特性的影响

以南粳9108和甬优2640为材料,设置6个土壤含盐量(0%、0.07%、0.14%、0.21%、0.28%、0.35%),研究不同盐分梯度对水稻产量和生理特性的影响。结果表明:(1)盐胁迫影响水稻的生长和发育进程。株高、叶面积、干物质量等形态指标均随盐浓度的上升而下降;稻谷产量亦随盐浓度增加而下降,在0.14%、0.21%、0.28%、0.35%盐浓度处理时产量显著下降,南粳9108分别减产14.14%、43.65%、58.91%、65.68%,甬优2640分别减产20.25%、31.97%、40.41%、49.82%。(2)随着盐浓度的增加,2个参试品种抽穗期叶片抗氧化酶活性均呈先升后降趋势,在0.07%处理下达最高值。(3)抽穗期叶片中游离脯氨酸含量随盐浓度的上升而增加,盐浓度大于0.14%,游离脯氨酸含量较对照显著增加。(4)盐胁迫下,水稻植株吸收Na~+并置换出K~+,除叶片中K~+变化无规律之外,随着盐浓度上升,各部位K~+含量均下降,Na~+含量均上升,K~+/Na~+均呈下降趋势。茎鞘与叶运输的SK、Na随盐浓度的上升而上升,茎选择性运输K~+而抑制Na~+进入叶片;根与茎的SK、Na随盐浓度的上升而下降,茎吸收Na~+并输出K~+到根系。总体而言,低盐浓度对高产水稻品种产量和生理特性无显著影响,盐浓度大于0.07%时影响显著。     

Large‐scale patterns of fish diversity and assemblage structure in the longest tropical river in Asia

Although the Mekong River is one of the world's 35 biodiversity hot spots, the large‐scale patterns of fish diversity and assemblage structure remain poorly addressed. This study aimed to investigate the fish distribution patterns in the Lower Mekong River (LMR) and to identify their environmental determinants. Daily fish catch data (i.e. from December 2000 to November 2001) at 38 sites distributed along the LMR were related to 15 physicochemical and 19 climatic variables. As a result, four different clusters were defined according to the similarity in assemblage composition and 80 indicator species were identified. While fish species richness was highest in the Mekong delta and lowest in the upper part of the LMR, the diversity index was highest in the middle part of the LMR and lowest in the delta. We found that fish assemblages changed along the environmental gradients and that the main drivers affecting the fish assemblage structure were the seasonal variation of temperature, precipitation, dissolved oxygen, pH and total phosphorus. Specifically, upstream assemblages were characterised by cyprinids and Pangasius catfish, well suited to low temperature, high dissolved oxygen and high pH. Fish assemblages in the delta were dominated by perch‐like fish and clupeids, more tolerant to high temperatures, and high levels of nutrients (nitrates and total phosphorus) and salinity. Overall, the patterns were consistent between seasons. Our study contributes to establishing the first holistic fish community study in the LMR.     

Modelling soil erodibility in mountain rangelands of southern Kyrgyzstan

Soil erosion in mountain rangelands in Kyrgyzstan is an emerging problem due to vegetation loss caused by overgrazing. It is further exacerbated by mountain terrain and high precipitation values in Fergana range in the south of Kyrgyzstan. The main objective of this study was to map soil erodibility in the mountainous rangelands of Kyrgyzstan. The results of this effort are expected to contribute to the development of soil erodibility modelling approaches for mountainous areas. In this study, we mapped soil erodibility at two sites, both representing grazing rangelands in the mountains of Kyrgyzstan and having potentially different levels of grazing pressure. We collected a total of 232 soil samples evenly distributed in geographical space and feature space. Then we analyzed the samples in laboratory for grain size distribution and calculated soil erodibility values from these data using the Revised Universal Soil Loss Equation (RUSLE) K-factor formula. After that, we derived different terrain indices and ratios of frequency bands from ASTER GDEM and LANDSAT images to use as auxiliary data because they are among the main soil forming factors and widely used for prediction of various soil properties. Soil erodibility was significantly correlated with channel network base level (geographically extrapolated altitude of water channels), remotely sensed indices of short-wave infrared spectral bands, exposition, and slope degree. We applied multiple regression analysis to predict soil erodibility from spatially explicit terrain and remotely sensed indices. The final soil erodibility model was developed using the spatially explicit predictors and the regression equation and then improved by adding the residuals. The spatial resolution of the model was 30 m, and the estimated mean adjusted coefficient of determination was 0.47. The two sites indicated different estimated and predicted means of soil erodibility values (0.035 and 0.039) with a 0.05 significance level, which is attributed mainly to the considerable difference in elevation.     

基于VLF/LF三维闪电探测系统的贵州省全闪分布特征分析

为进一步加强云闪分布特征分析，增强对雷暴云内物理过程的认识，利用2015—2017 年VLF/LF三维闪电探测系统的数据资料对贵州省闪电特征进行空间和时间分布特征分析。结果表明：无论云闪还是地闪，均以负闪为主；闪电发生主要集中在夏季，冬季闪电最少，闪电月际分布主要为单峰型，仅冬季Z比率大于1；闪电主要发生时段为16 时至次日凌晨2 时，Z比率与全闪频数随时间的变化呈正相关，相关系数0.618；全省闪电密度整体呈西高东低趋势，年均闪电密度为5.07 次/(a ·km2)；云闪主要发生在高度2k~7 km，全年云闪高度呈下降趋势；雷电强度主要分布在5k~45 kA，平均陡度为7.34 kA/μs。本研究有利于对闪电特征开展更全面的探究和分析，同时对强对流天气监测和预警也有重要意义和价值。     

成品油管道水击超前保护优化方案

成品油管道发生泵站意外停电事故后通常执行水击超前保护程序,该保护方案对管道的安全性有决定性影响。为了确保管道从事故前稳态安全平稳过渡到事故后较优的运行状态,需要制定最佳的水击超前保护方案。对成品油管道泵站意外停电水击工况进行分析,以水击事故发生后下一稳态时输量最大且各调节阀节流压力之和最小为目标,建立优化模型,相应的约束条件为全线不超压、不汽化。模型求解采取两种不同策略:事故站下游以各站出站压力最低为目标分别寻优,采用水力坡降线平移法求解;事故站上游以整体总节流最小寻优,为了提高求解速度,采用深度优先搜索法求解。以某成品油管道泵站意外停电事故工况为例,对该优化模型进行实例应用,并根据优化结果制定水击事故过渡过程的控制逻辑,并使用仿真软件SPS验证了控制逻辑的合理性,表明该优化模型合理可靠。     

基于改进蚁群算法的植保无人机路径规划方法

为了规划出更加高效的植保无人机路径，提出一种基于改进蚁群算法的植保无人机路径规划方法，该方法适用于多个具有复杂多边形边界与内部障碍物的三维作业区域。采用扫描方式生成水平面内的作业路径，经过离散化处理后，在三维地形曲面上插值，获得三维作业路径。在此基础上，建立作业路径生成算法，以三维作业路径总长度尽量短、作业路径数量尽量少为目标，对植保无人机作业航向进行寻优。改进蚁群算法通过附加记录作业路径进入点的机制，实现对三维作业路径的合理排序，生成总长度较短的转移路径。经过算例检验，针对同一作业区域规划出的三维作业路径与水平面内的作业路径的航向角存在较大差异，相差最大为92°，这说明考虑三维地形的必要性。算例中，将改进的蚁群算法与贪婪算法进行了对比，针对一系列相同的作业起点，改进的蚁群算法所得的转移路径总长度均较短，比贪婪算法所得结果缩短3%~28%；在未选定作业起点情况下，改进的蚁群算法与贪婪算法求得的转移路径总长度最小值分别为1661m与1763m，说明改进的蚁群算法具有良好的寻优能力。实例检验情况与算例所得结论基本一致。算例与实例中的作业区域边界与地形复杂，涵盖情况全面，表明本文提出的路径规划方法具有一定实用性。     

草鱼TAB1蛋白的原核重组表达及其抗体制备

为了制备草鱼重组TAB1蛋白(rCiTAB1)及其特异性抗体,首先以草鱼头肾组织c DNA为模板,PCR扩增Ci TAB1基因全长序列,并依次构建重组克隆质粒p MD19-T-Ci TAB1与重组表达质粒pET-32a-Ci TAB1。该重组表达质粒经0.5 mmol·L~(-1) IPTG,37℃诱导表达12 h后获得以包涵体形式表达的重组CiTAB1蛋白(rCiTAB1)。然后,采用3种不同方法对包涵体蛋白进行变性,发现与高浓度尿素直接变性法和洗涤后尿素变性法相比,洗涤后梯度尿素变性法处理后的蛋白纯度最好,经透析复性后得到浓度为2 mg·mL~(-1)的r Ci TAB1。最后,将rCiTAB1蛋白与白油佐剂及免疫增强剂混合,室温下混合1.5h乳化成免疫原,3次免疫新西兰大白兔制备兔抗CiTAB1抗体,经间接ELISA方法和免疫琼脂双向扩散试验测得免疫后第33天血清中特异性抗体的效价分别为1∶1 048 576和1∶16。Western blot检测到一条分子量约为72 kDa的特异性条带,表明该抗体能特异性识别r Ci TAB1蛋白。研究结果为后续深入研究CiTAB1蛋白功能提供了物质基础。