Establishment and application of an accurate identification method for fragrant soybeans

In order to screen the aroma characteristics of soybean,a new method was established which can quickly quantify the content of 2-acetyl-1pyrroline (2-AP),an important compound related to soybean aroma,using gas chromatography-mass spectrometry (GC-MS).Based on peak profile,total peak area and retention time as test indexes,an accurate identification method for fragrant soybeans was established.The optimum parameters of the protocol consisted of column temperature70°C,sample injector temperature 180°C,optimum extraction alcohol content 1 m L,Na Cl content 0.1 g,ultrasonication time10 min,and extraction time 1 h,which were established by using the orthogonal test of single factors and three factors with four levels (L_9(3)~4).2-AP content of leaves had significant correlations with seeds,which were easier to measure.The protocol was simple and easy to carry out,consumed only small amounts of reagents,and provided accurate and reliable results with good reproducibility.A total of 101 soybean genotypes from different geographical sources were analyzed using this protocol.The results showed that the average content of 2-AP was 0.29 mg L~(–1),ranging from 0.094 to 1.816 mg L~(–1),and the genetic diversity index was 0.54.Among all genotypes-tested,they were classified into three grades,including seven elite genotypes identified as"grade one fragrant soybeans",which were Zhonglong 608,Heinong 88,Ha13-2958,Hongmiandou,Heinong 82,Huangmaodou,and Jiyu 21.These results provide both an identification technique and several elite aroma genotypes for gene discovery and good quality breeding in soybean.     

湖北省杉木人工林立地类型划分及评价

以湖北省杉木人工林为研究对象,选择166块具有代表性的杉木人工林标准地,并测定样地的常规立地因子。利用数量化理论Ⅰ的方法建立了杉木优势高与立地因子之间的关系模型,对研究区杉木人工林进行立地类型划分及立地质量评价。结果表明,所选择的5个立地因子与优势高数量化拟合的复相关系数为0.639;海拔、腐殖层厚度和坡位这3个立地因子对优势高的贡献率达84.99%,且影响均达到极显著水平;采用海拔、腐殖层厚度和坡位3个因子构建研究区杉木人工林立地类型,共划分为22类;按照优、良、中、差4个评价等级对166块样地所属的立地类型进行立地质量评价,得出湖北省杉木人工林在中海拔、土壤湿润、土壤养分含量较高的立地条件下生产力较高,研究区立地质量整体处于中等偏上水平的结论。     

基于多反应监测质谱技术的水稻叶片蛋白绝对定量方法

【目的】建立水稻叶片蛋白的多反应监测(MRM)质谱绝对定量方法。【方法】水稻叶片蛋白经含1.0%十二烷基硫酸钠(SDS)的磷酸盐(PBS)缓冲液提取,丙酮沉淀除杂纯化、胰蛋白酶消化,酶解液经液相色谱分离,MRM质谱监测,外标法定量。【结果】向提取缓冲液中加入1.0%SDS可增强水稻叶片中16种靶蛋白和总蛋白质的提取效果;不同有机试剂处理,总蛋白质沉淀量存在显著差异(P<0.05),沉淀能力从强到弱依次为乙腈>丙酮>异丙醇>甲醇>乙醇;对于16种目标蛋白,总体以丙酮沉淀效果最好,其次是异丙醇和乙腈,甲醇和乙醇效果较差。该方法线性范围均达到3个数量级,定量限为0.1~2.5 nmol/L,灌浆期16种水稻叶片蛋白质含量为6.0~2818.1μg/g,相对标准偏差均小于14%。【结论】SDS可显著提高水稻叶片蛋白提取效果,采用丙酮或乙腈可获得较好的蛋白沉淀效果,但不同蛋白质略有差异。结合MRM质谱监测技术可实现水稻叶片蛋白的绝对定量,方法线性范围宽、敏度高、重复性好。     

1978—2018年中国农村环境管理政策演进特征——基于206份政策文本的量化分析

基于手工搜集的1978—2018年中国政府颁布的206份农村环境管理政策文本，从政策发布年度、政策发布主体、政策发布形式、政策作用对象、政策工具及政策效力6个维度构建分析框架，运用政策文献计量和内容分析方法分析了中国农村环境管理政策的演进特征。结果表明:1978年改革开放以来，中国农村环境管理政策在数量上呈整体持续上升态势；农村环境管理政策经历了探索起步(1978—1989年)、初步形成(1990—2004年)、快速发展(2005—2013年)和全面推进(2014年以后)4个阶段的演进；政策发布主体的行政级别较高且呈现多元化特征，政策联合决策程度高，但政策之间统筹性和协调性较低；政策绝大多数以通知、意见等形式发出，缺乏权威性和规范性；政策的着力点主要在原生态保护层面，对农村人居环境整治的重视程度不够；命令控制型政策是政府最为偏好的农村环境管理政策工具，经济激励型、信息公开型和自愿参与型政策工具使用不足；政策整体效力的提升主要由政策发布数量驱动，政策反馈不足、政策措施较少和政策目标量化程度低是导致政策平均效力较低的主要原因。     

A highly sensitive,non‐invasive qPCR‐based strategy for direct quantification of Yersinia ruckeri in fish faeces

Finfish with asymptomatic Yersinia ruckeri infections pose a major risk as they can transmit the pathogen and cause clinical outbreaks in stock populations. Current tools have insufficient quantitative ability for accurately detecting the trace levels of Y. ruckeri typically associated with asymptomatic infection, necessitate invasive or lethal sampling, or require long processing times. This study presents a highly sensitive qPCR‐based method, targeting part of the Y. ruckeri 16S rRNA sequence, that is capable of detecting extremely low levels of Y. ruckeri in noninvasively collected faecal samples. Quantitative precision and accuracy of faecal sample analysis was consistent, despite the complexity of the faecal matrix. The assay demonstrated linearity over a six log‐wide dynamic range. Its limit of detection (LOD) and limit of quantification (LOQ) were 4 and 10 copies of the target sequence, respectively. Sensitivity of the assay was comparable to other qPCR‐based methods without requiring invasive or lethal sampling. Applicability as a screening strategy was tested using passively collected faecal samples. Asymptomatic Y. ruckeri infection was detected in all samples, although none of the fish exhibited overt infection. This method will be beneficial for finfish disease management if developed further as a noninvasive, screening tool against asymptomatic Y. ruckeri infection.     

利用双标准曲线法检测刺萼龙葵 SrDOG1基因的表达

双标准曲线法是基因表达定量研究中应用较广的一种相对定量检测方法。本研究结合绝对定量的原理,对传统双标准曲线法进行了改进。以刺萼龙葵延迟萌发基因DELAY OF GERMINATION 1(DOG1)的表达检测为例,选择β-actin为内参基因,分别将目的基因和内参基因片段插入pEASY-Blunt Zero载体,制作标准质粒。提取冷藏或常温储藏种子的RNA进行荧光扩增,同时将标准质粒梯度稀释液作为模板构建标准曲线,以此计算SrDOG1的相对表达量。结果表明,双标准曲线法能够灵敏地检测SrDOG1基因的差异表达,发现冷藏种子中SrDOG1基因的表达量较常温储藏显著增高。双标准曲线法检测结果稳定,重现性好,数据处理简单,适用于多种条件下基因表达水平的比较,为进一步系统研究刺萼龙葵DOG1基因的表达特性和基因功能奠定了基础。     

Quantifying resistance to Plasmodiophora brassicae in Brassica hosts

Plasmodiophora brassicae causes clubroot of crucifers. A quantitative PCR (qPCR)‐based protocol was developed to measure P. brassicae DNA in the roots of susceptible, intermediately susceptible, intermediately resistant and resistant Brassica hosts, and the non‐host wheat, at 5, 10, 15, 20 and 42 days post‐inoculation (dpi). The final reaction of each plant genotype was recorded as an index of disease at 42 dpi. Plasmodiophora brassicae DNA showed an increase in susceptible and moderately resistant hosts from 5 to 42 dpi, in contrast to a decrease in a highly resistant host and the non‐host wheat over the same period. Index of disease was significantly positively correlated with the amount of P. brassicae DNA in the roots at 5, 15, 20 and 42 dpi in one experiment, and at 10, 15, 20 and 42 dpi in a repeated experiment. Significant positive correlations also existed between the amounts of P. brassicae DNA in the roots at 42 dpi and those at 5, 10, 15 and 20 dpi in one experiment, and those at 10, 15 and 20 dpi in a repeated experiment. The results generated by the qPCR assay were validated by microscopic examination of roots inoculated with P. brassicae. The qPCR‐based protocol developed in this study allows for the accurate quantification of P. brassicae DNA in host root tissues as early as 5 dpi, and may serve as a useful tool to evaluate pathogen proliferation and development in the roots.     

Characterization of an intravenous lipopolysaccharide inflammation model in calves with respect to the acute-phase response

Our objective was to develop a lipopolysaccharide (LPS) inflammation model in calves to evaluate the acute-phase response with respect to the release of pro-inflammatory cytokines and acute-phase proteins, fever development and sickness behaviour. Fourteen 4-week-old male Holstein Friesian calves were included and randomly assigned to a negative control group (n = 3) and an LPS-challenged group (n = 11). The latter received an intravenous bolus injection of 0.5 μg of LPS/kg body weight. Blood collection and clinical scoring were performed at 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 5, 6, 8, 12, 18, 24, 28, 32, 48, 54 and 72 h post LPS administration (p.a.). In the LPS group, the following clinical signs were observed successively: tachypnoea (on average 18 min p.a.), decubitus (29 min p.a.), general depression (1.75 h p.a.), fever (5 h p.a.) and tachycardia (5 h p.a.). Subsequent to the recovery from respiratory distress, general depression was prominent, which deteriorated when fever increased. One animal did not survive LPS administration, whereas the other animals recovered on average within 6.1 h p.a. Moreover, the challenge significantly increased plasma concentrations of tumour necrosis factor-α, interleukin 6, serum amyloid A and haptoglobin, with peaking levels at 1, 3.5, 24 and 18 h p.a., respectively. The present LPS model was practical and reproducible, caused obvious clinical signs related to endotoxemia and a marked change in the studied inflammatory mediators, making it a suitable model to study the immunomodulatory properties of drugs in future research.     

基于改进主成分分析和AdaBoost算法的运动虾苗识别方法

针对虾行为量化过程中运动虾苗较难检测与识别的问题,该文以南美白对虾虾苗为例,提出了一种基于改进主成分分析(principal component analysis,PCA)+AdaBoost算法的运动虾苗自动识别方法。在室内自然光条件下,利用工业相机采集承装容器中虾苗的灰度图像。提取图像中大小为100×100像素的不同运动状态的虾苗图像,首先使用改进PCA算法进行主成分分析,并进行特征提取。根据特征参数的分布情况,对其进行归一化处理,利用归一化的特征构建多个弱分类器,利用Adaboost方法将弱分类器构建成强分类器。最后,利用强分类器对运动虾苗进行识别。试验结果表明,在150幅不同运动状态虾苗测试样本中,基于改进PCA+Adaboost方法的识别正确率98%,平均每个样本识别时间为0.027 898 s,满足行为量化中的自动识别要求。