罗氏沼虾Toll样受体基因cDNA片段的克隆及序列分析

提取罗氏沼虾(Macrobrachium rosenbergii)上海养殖群体活体鳃、肌肉、肝胰腺、血液和雄性腺5种组织的总RNA;应用RT-PCR技术,从鳃组织中克隆到Toll样受体(TLR)基因部分cDNA序列,并进行生物信息学分析。基因序列分析表明:所得罗氏沼虾TLR基因cDNA序列长1 875 bp,包含1 728 bp的开放阅读框,可编码575个氨基酸残基;该部分TLR是一个跨膜蛋白,存在胞外区LRR、LRR-CT、LRR-NT结构域及关键的胞内区TIR结构域,具备Toll样受体家族的典型结构特征;TIR结构域与凡纳滨对虾(Litopenaeus vannamei)和日本囊对虾(Marsupenaeus japonicus)、中国明对虾(Fenneropenaeus chinensis)、斑节对虾(Penaeus monodon)、中华绒螯蟹(Eriocheir sinensis)、拟穴青蟹(Scylla paramamosian)Toll样受体基因TIR区域的氨基酸序列具有很高的相似性。     

大豆GmGW2基因的生物信息学分析

GW2基因在多种植物中发挥调控籽粒性状的功能,为预测分析大豆中GW2基因的功能,前期通过同源克隆的方法从大豆中成功克隆出GmGW2基因的cDNA序列。为了继续开展深入研究,本试验从大豆中黄10号中克隆出GmGW2基因的全长DNA序列并进行了较为详细的生物信息学分析。结果表明:GmGW2全长8 467 bp,包含8个外显子和7个内含子,编码431个氨基酸。预测是一个不稳定亲水蛋白,定位于细胞核或细胞质中,不含跨膜结构域及信号肽,具有Zinc finger和RING-type结构域。二级、三级结构预测分析显示,α-螺旋及不规则卷曲是其整体蛋白质结构中的主要组成结构元件。利用该基因的DNA序列,构建进化树分析得出该基因与木豆、相思子、鹰嘴豆亲缘关系较近。根据以上分析结果推测GmGW2基因可能也具有调控大豆籽粒发育的功能。此研究旨在为进一步挖掘和验证GmGW2基因功能奠定基础,为大豆产量育种工作提供有益信息。     

不同小麦品种茎秆抗倒性的研究

为了明确影响小麦抗倒伏性的主要因素,选用生产中应用较广泛的6个高产小麦品种,采用田间试验与实验室分析相结合的方法,对不同品种的抗倒伏性状进行研究。结果表明,百农矮抗58的倒伏指数较小,为0.432,与其他品种相比差异显著;百农矮抗58的茎秆机械强度大、茎秆基部第二节短粗、秆壁较厚、次生根数量较多、株高和重心高度较低。相关分析表明,倒伏指数与第二节关系密切,第二节机械强度越大、壁越厚、干重越大、地下部根量越多,倒伏指数就越小,茎秆抗倒性就越强;适当降低株高可以降低植株的重心高度,增强植株抗倒能力。逐步回归分析表明,影响茎秆抗倒性的直接因子为茎秆基部第二节机械强度、第二节干重、地下部根量及地上部鲜重,其中第二节机械强度对茎秆倒伏指数的直接作用最大,其直接通径系数为-0.775,可用第二节机械强度的大小评价品种茎秆抗倒性的强弱。     

产脂肪酶乳酸菌对新疆传统奶酪脂肪酸及风味的影响

为了改善奶酪品质,奶酪生产过程中通常会添加脂肪酶或者产脂肪酶乳酸菌来提升产品品质。该研究以前期筛选的4株高产脂肪酶乳酸菌为发酵剂,分别随机选取3株乳酸菌复配制作酸凝奶酪。试验组：A组T1-5和T1-3属融合魏斯氏菌（Weissella confusa）、H1-6属瑞士乳杆菌（Lactobacillus helveticus）,B组H1-6、T1-5、B2-5属植物乳杆菌（Lactobacillus plantarum）,C组H1-6、T1-3、B2-5,D组T1-3、T1-5、B2-5,对照组（E组）（添加商业发酵剂）,分析发酵剂对传统奶酪pH值、滴定酸度和脂肪氧化情况的影响,并利用气相色谱法（Gas Chromatography,GC）检测奶酪中脂肪酸变化、利用气相色谱-离子迁移谱（Gas Chromatography-Ion Mobility Chromatography,GC-IMS）分析奶酪中风味物质的变化。结果表明：A,B,C,D组4组奶酪的pH值、过氧化值（Peroxide value,POV值）明显低于E组（对照组）（P < 0.05）,A,B组奶酪滴定酸度比对照E组高（P < 0.05）;A,B,C,D组奶酪中饱和脂肪酸（Saturated Fatty Acids,SFA）含量、单不饱和脂肪酸（Monounsaturated Fatty Acids,MUFA）含量和多不饱和脂肪酸（Polyunsaturated Fatty Acids,PUFA）含量均显著高于E组（P < 0.05）;4个试验组样品中亚油酸（C18∶2n6c）含量明显高于对照组（E组）（P < 0.05）。GC-IMS及主成分分析结果显示,A、B组奶酪挥发性风味物质种类多,且相似度较高,其中2-庚酮、丁醛、乙酸丁酯是主要呈味物质;C、E两组奶酪中风味物质比较相似,风味物质主要以乙酸乙酯、乙酸丙酯、己酸乙酯等酯类为主;D组与其他4组有所差异,主要挥发性风味物质为乙酸丁酯、3-辛酮、庚醛等。结合感官评定,A、B两组奶酪整体风味和口感较好,评分较高。筛选得到的产脂肪酶乳酸菌可以作为发酵剂用于提升新疆传统奶酪品质。     

猪垫料用量对大杯香菇中主要矿物质元素与铅含量关联度的影响

【目的】研究猪垫料栽培大杯香菇子实体中主要矿物质元素含量与铅含量的关系,为大面积栽培铅含量更低的大杯香菇提供依据。【方法】通过在对照培养料(A0,10%)中添加质量分数为10%(A1)、20%(A2)、30%(A3)、40%(A4)、50%(A5)、60%(A6)、70%(A7)的猪垫料,进行大杯香菇栽培试验,采用灰色关联方法,分析各处理大杯香菇子实体中主要矿物质元素含量(铜、锰、铁、锌、钾、钙)与铅含量的关系。【结果】7个处理中,猪垫料用量对铅与各主要矿物质元素含量的关联系数影响顺序从大到小为:A2A3A7A0A6A4A1A5,其中A2处理关联系数最大,为0.811 3,A5处理关联系数最小,为0.485 0。猪垫料栽培大杯香菇子实体中的Zn含量与Pb含量关联度最大,为0.725 9,其次是Mn含量,关联度最小的是K含量。【结论】猪垫料用量对大杯香菇子实体中各种主要矿物质元素与铅含量关联系数有一定的影响,猪垫料栽培大杯香菇子实体中的Zn含量与Pb含量关系密切。     

农业气象灾害风险分析及区划研究进展

为给农业气象灾害风险分析及区划研究提供理论参考,从农业气象灾害风险系统理论、分析概念模型、评估方法及区划方法等方面进行了综述,并对目前农业气象灾害风险分析存在的和有待进一步研究的问题进行了初步探讨.     

The Application of Multivariate Statistical Methods for the Evaluation of Soil Profiles (8 pp)

Background, Aim and Scope   Contamination of soils does not only occur on their surface over large areas, but also in depth. Therefore a characterization of soil state after pollution demands a three-dimensional soil sampling, by what a large number of samples has to be analyzed. Analytical results could be evaluated by multivariate statistical methods, which have already been used for the evaluation of data sets containing results from soil sampling of two dimensions like areas or single profiles. In this case study, multivariate statistical methods were applied to investigate structure and interactions between features in a data set containing results of three-dimensional soil sampling. The investigated soil profiles were contaminated by emissions of a former cement and phosphate fertilizer plant. The aim of this study was to determine the remaining extent of contamination and to analyze whether pollutants are mobilized and vertically transported within the profiles. Materials and Methods: Three soil profiles were sampled in the surroundings of the plant. Grain size, organic and carbonatic bonded carbon, pH value, and the total contents of Ca, Cd, Co, Cu, F, Fe, K, Mn, Mg, Na, Ni, P, Pb, and Zn were determined. The resulting data set was evaluated by cluster analysis, linear discriminant analysis, and principal components analysis. The sequential extraction procedure according to Zeien and Brümmer was applied to analyze the binding properties of Ca, Cd, Cu, Na, Pb, and Zn from selected samples. Results: Cd was identified as contaminant of the top soils. The pH values of the bottom soils were determined to be in alkaline range, which is unnaturally high. Variables were clustered according to enrichment of variables in top soils. The samples were classified regarding their pollution state and their substrate by cluster analysis, which was confirmed by linear discriminant analysis. Geogenic and anthropogenic sources of variables as well as relationships between variables like the binding of heavy metals at organic matter were detected by using principal components analysis. The binding of heavy metals at organic matter in the top soils was confirmed by the results of the applied sequential extraction. A vertically altered distribution of Na binding was determined. Discussion: According to the current soil conditions, the uptake of heavy metals had probably occurred by the over ground part of plants during the deposition. The distribution of Na should likely result from the vertical transport of Na, which would also explain the high pH values of the bottom soils by ion exchange. Altogether, the main amount of deposited Ca, F, Na, P, and heavy metals is likely nearly insoluble bound in the top soils. Conclusions: Ten years after the end of production, the pollution of top soils in the surroundings of the former plant is still high. However, regarding the ecotoxicological relevance the now explored interactions between several soil features and elements strongly indicate that there is no short-term to medium-term risk of a mobilization of the deposited elements with the exception of Na. Recommendations and Perspectives: The results of this case study prove that multivariate statistical methods are powerful tools to explore interactions of variables and relationships in a data set derived from three dimensional soil sampling. The methods applied in this work can be highly recommended for evaluations of large data sets resulting from two- or three-dimensional samplings. Multivariate statistical methods enable the characterization of soils and their pollution state in a simple and economic way.     

沙湖叶绿素a的时空分布特征及其与环境因子关系

为探究沙湖水体叶绿素a的时空分布特征及其与水环境因子关系,2015-2017年冬季（1月）、春季（4月）、夏季（7月）、秋季（10月）对沙湖水体叶绿素a含量和常规水环境因子进行采样与检测,分析沙湖叶绿素a含量与环境因子之间的相关性,通过逐步回归法和通径分析探讨了时空性变化和季节性变化对叶绿素a含量的影响。结果表明,沙湖叶绿素a季节变化明显,夏季最高,冬春两季相对较低,最大值出现在2017年7月（夏季）,最小值出现在2015年4月（春季）,2017年叶绿素含量最高,年均值为18.94 μg/L,空间分布也存在明显差异。相关分析表明,总磷(TP)、化学需氧量(CODCr)、五日生化需氧量(BOD5)和透明度(SD)是影响沙湖叶绿素a含量的主要环境因子;逐步回归分析表明,不同季节、不同采样点影响沙湖叶绿素a含量的环境因子存在差异,有机污染物与氮磷营养盐是主要的影响因素;通径分析表明,化学需氧量和总磷的总决定系数(dij)分别为0.379和0.373,是影响沙湖叶绿素a含量最主要的两个环境因子;其中总磷对沙湖叶绿素a含量的直接作用较大,是对叶绿素a起决定性作用的限定性营养盐。     

伪狂犬病病毒上海株gE和gI基因的克隆及序列分析

参考Genebank发表的伪犬病病毒（Pseudorabies Virus,PRV）的gI和gE基因序列，自行设计并合成了两对引物，对PRV上海株（PRV－SH）进行PCR扩增，产物经琼脂糖电泳分析，均呈现一条约960bp和1740bp的条带，将其克隆入pGEM-T-easy载体中，进行了序旬测定，将PRV－SH株的gI基因与Rice株gI基因比较发现,核苷酸的同源性为94.7%，氨基酸的同源性为91.3%，证实为gI基因，将PRV－SH gE基因序列与Ea株、Ruce株gE基因序列进行比较，结果显示，该序列与PRV Ea株、Rice株gE基因的同源性分别为98.5%、97.5%；的氨基酸序列与Ea株，Rice株和I型单纯疱疹病毒（HSV－1）17株gE的同源性分别为97.2%、94.8%和15.6%。