棉花单核苷酸多态性标记研究进展

单核苷酸多态性标记已在农作物研究中得到广泛应用并取得重大进展。为了便利棉花SNP(Single nucleotide polymorphism)标记的研究和应用,介绍了利用基因芯片、简化基因组测序、重测序等在棉花中开发SNP标记的方法 ,综述了SNP标记在棉花遗传图谱构建、数量位点的定位和分子标记辅助育种、基因组测序以及系统进化等研究中的应用。并对异源四倍体棉花中SNP标记开发时,同源序列位点和部分同源序列位点上的SNP标记辨别问题进行了系统探讨,对其快捷的开发、检测方式和在数量基因定位中的应用前景进行了展望。     

浅谈网络环境下高校图书馆馆员的信息素质教育

阐述了信息素质教育的涵义,探讨了图书馆馆员信息素质教育的重要性及现状,指出了图书馆馆员信息素质教育的构成、主要内容和实现图书馆馆员信息素质教育的途径。     

农垦精神:高校践行社会主义核心价值观的重要维度

在中国革命和社会主义建设中萌芽、凝练的农垦精神,成为各项事业发展,尤其是农业发展的核心价值观。农垦精神与社会主义核心价值观有着密切的内在关联性,二者具有相同的爱国属性、文化基因和理想依托。以农垦精神为核心,开展思想教育、实践教育、文化教育,是高校践行社会主义核心价值观的重要维度。     

浅析新疆矿产资源上市公司会计信息监管

文章对新疆矿产资源上市公司的会计信息监管做了研究,首先介绍了会计信息监管的模式以及新疆矿产资源上市公司监管现状,然后指出了会计信息监管中存在的问题,紧接着对所提出的问题给出了相关的建议对策。     

“中国春”小麦不同缺体的RAPD分析

利用ＰＣＲ－９０Ａ型ＤＮＡ扩增仪，对７个中国春小麦缺体核ＤＮＡ进行了扩增。结果显示，中国春小麦缺体核ＤＮＡ的ＲＡＰＤ产物可分为二种类型：（１）所有供试材料均能扩增出的片段，代表了核ＤＮＡ在进化上的保守性。有一个引物检测到这类片段。（２）全部供试材料间存在的差异片段，这类片段是用来基因定位的主要依据。另外，建立中国春小麦缺体系统的ＲＡＰＤ指纹图谱对研究小麦的系统进化也将有重要意义     

Emerging issues in genomic selection

Genomic selection (GS) is now practiced successfully across many species. However, many questions remain, such as long-term effects, estimations of genomic parameters, robustness of genome-wide association study (GWAS) with small and large datasets, and stability of genomic predictions. This study summarizes presentations from the authors at the 2020 American Society of Animal Science (ASAS) symposium. The focus of many studies until now is on linkage disequilibrium between two loci. Ignoring higher-level equilibrium may lead to phantom dominance and epistasis. The Bulmer effect leads to a reduction of the additive variance; however, the selection for increased recombination rate can release anew genetic variance. With genomic information, estimates of genetic parameters may be biased by genomic preselection, but costs of estimation can increase drastically due to the dense form of the genomic information. To make the computation of estimates feasible, genotypes could be retained only for the most important animals, and methods of estimation should use algorithms that can recognize dense blocks in sparse matrices. GWASs using small genomic datasets frequently find many marker-trait associations, whereas studies using much bigger datasets find only a few. Most of the current tools use very simple models for GWAS, possibly causing artifacts. These models are adequate for large datasets where pseudo-phenotypes such as deregressed proofs indirectly account for important effects for traits of interest. Artifacts arising in GWAS with small datasets can be minimized by using data from all animals (whether genotyped or not), realistic models, and methods that account for population structure. Recent developments permit the computation of P-values from genomic best linear unbiased prediction (GBLUP), where models can be arbitrarily complex but restricted to genotyped animals only, and single-step GBLUP that also uses phenotypes from ungenotyped animals. Stability was an important part of nongenomic evaluations, where genetic predictions were stable in the absence of new data even with low prediction accuracies. Unfortunately, genomic evaluations for such animals change because all animals with genotypes are connected. A top-ranked animal can easily drop in the next evaluation, causing a crisis of confidence in genomic evaluations. While correlations between consecutive genomic evaluations are high, outliers can have differences as high as 1 SD. A solution to fluctuating genomic evaluations is to base selection decisions on groups of animals. Although many issues in GS have been solved, many new issues that require additional research continue to surface.     

Thermal features,ambient temperature and hair coat lengths: Limitations of infrared imaging in pregnant primitive breed mares within a year

Infrared thermography is a non-invasive technique which allows to distinguish between pregnant and non-pregnant animals. Detecting accurate body surface temperatures can be challenging due to external factors altering thermograph measurements. This study aimed to determine the associations between the ambient temperature, the hair coat features and the temperatures of mares' abdomens. It compared pregnant and non-pregnant mares throughout 11 months. The research was carried out on 40 Konik Polski mares, which were divided into pregnant and non-pregnant groups. The temperature (Tmax, maximal; Taver, average; Tmin, minimal) of the mares' abdomen was evaluated in two regions of interest: the whole area of the lateral surface of the mares' abdomen (Px1) and the flank area of the lateral surface of mares' abdomen (Px2). During the increasing period, the slopes in the linear regression equation did not differ significantly for ambient (Tamb) and surface temperatures in both groups. In the decreasing period, the slopes did not differ significantly for Tamb and Tmax in the non-pregnant group. They also did not differ for Tamb and Taver in Px1 and Tamb and Tmin in Px1 in both pregnant and non-pregnant groups respectively. Other slopes varied significantly (p < .001). There was no evidence of parallel changes in hair coat features and measured temperatures. The flank area appears more suitable for thermal imaging in pregnant mares due to the seasonal fluctuations in hair coat lengths.     

基于非洲猪瘟病毒标准物质的荧光PCR检测试剂盒初步评价

为探究非洲猪瘟病毒(African swine fever virus,ASFV)标准物质作为试剂盒评价体系的可行性,比较了市场上5种主流品牌ASFV荧光PCR检测试剂盒的检测性能。使用ASFV P72基因核酸标准物质作为模板,根据5种试剂盒说明书分别进行相应的荧光定量PCR检测,结合扩增曲线、Ct值,分析不同试剂盒的敏感性、可重复性以及所需反应时间。结果显示:5种试剂盒的阴性、阳性对照均成立,最低检测限均为5.9×10^-1拷贝/μL;4个厂家的试剂盒线性关系R2>0.98,其中最优的R²=0.994,离散度最小;各试剂盒的实际反应耗时与理论反应耗时均有一定差异(0.20~0.96 h)。结果表明,各生产厂家使用P72基因作为靶基因研制的ASFV荧光PCR检测试剂盒都可以使用ASFV标准物质作为评价体系,来评判试剂盒的检测性能。本试验为各实验室不同样品检测的ASFV荧光PCR检测试剂盒选择提供了一种可用的评价方法。     

口蹄疫病毒VP1基因密码子偏好性分析

VP1蛋白是口蹄疫病毒(FMDV)的主要结构蛋白,可诱导机体产生中和抗体以及激发保护性免疫应答。为探究VP1基因密码子偏好性,筛选出其最佳体外表达系统,使用Visual Gene Developer、CodonW、GraphPad Prism等软件,对VP1基因进行密码子偏好性分析,同时将VP1基因密码子使用频率与大肠杆菌、毕赤酵母、昆虫杆状病毒和哺乳动物细胞表达系统作了比较。结果显示,VP1基因的CAI为0.21,ENC为55.43,GC3S为65.26%,表明该基因密码子使用偏好较弱并且密码子偏好以G/C碱基结尾。结合VP1基因与各表达系统密码子使用频率比值,发现其与昆虫杆状病毒表达系统频率比值差异最小且CAI最大,因此推断昆虫杆状病毒表达系统是FMDV VP1基因最适体外表达系统。本研究为FMDV亚单位疫苗研制等提供了技术基础。     

2020年山东省牛羊疫病报告及监测数据分析

为了解山东省牛羊疫病的流行及免疫现状,汇总2020年山东省牛羊疫病报告数据以及监测数据等信息,分析牛羊疫病的时间分布、空间分布及病种分布;结合监测情况,分析牛羊疫病的免疫状况和暴发风险。2020年山东省牛病以新生犊牛腹泻、牛病毒性腹泻和牛传染性鼻气管炎为主,突发输入性牛结节性皮肤病,羊病以沙门氏菌病、绵羊疥癣和布鲁氏菌病为主;牛病主要集中在鲁北和鲁西北地区,羊病主要集中在鲁中、鲁西、鲁南及半岛北部地区;牛羊疫病有一定的时间分布特征,7—9月份牛病暴发较频繁,6—9月和12月羊病发病率较高;口蹄疫、小反刍兽疫免疫水平较高,整体暴发风险可控,但仍存在一定的牛羊口蹄疫非结构蛋白抗体阳性;布鲁氏菌病免疫水平偏低,感染抗体阳性群体内个体感染情况较严重,羊群感染程度高于牛群。分析提示:鲁北和鲁西北地区应重点加强新生犊牛腹泻、牛病毒性腹泻等牛病的防控,鲁中、鲁西、鲁南及半岛北部地区应加强沙门氏菌病、布鲁氏菌病等羊病的防控,继续推进牛羊布鲁氏菌病净化场(县)创建工作;对口蹄疫和小反刍兽疫等防控效果较好的疫病以及新传入的牛结节性皮肤病,应持续加强免疫和监测,防止疫情传入或复发。