“蛋白质与酶工程”教学的课程思政探索与实践

蛋白质与酶工程是生物技术专业的核心、必修课程,在专业人才培养体系中具有重要地位。文中以教育部颁布的《高等学校课程思政建设指导纲要》为依据、结合专业及课程特色,科学设定教学目标,深入挖掘课程思政教育元素,从融入内容、方法路径及评价等方面进行了课程思政教学改革的探索和实践。通过精心开展教学设计,利用对分课堂、以学生为中心,从讲故事、谈生活、说案例、议热点、读文献、做训练入手,激发并培养学生的科学精神、公民品格、全球视野、生态文明、法治意识、家国情怀和文化自信素养,促进课程思政教育有机融入教学全过程,实现课程育人目标的同时推动教学卓越。     

链球菌病类活疫苗活菌计数参考品的研制

研制链球菌病类活疫苗活菌计数参考品,可以更加科学地评价活菌计数结果的准确性和有效性。首先,制备了一批链球菌病类活疫苗活菌计数参考品,对其物理性状、纯粹性、真空度、剩余水分进行检验,并对其均一性、运输稳定性、热稳定性进行测定,另组织3家单位通过协作标定的方式对参考品活菌数进行赋值,用协作标定法统计参考品在12个月内的保存期。参考品的性状检查、纯粹检验、真空度测定和剩余水分测定结果均符合《中国兽药典》的规定;均一性试验结果显示,参考品计数结果的变异系数小于10%,均一性良好;运输稳定性试验证明,参考品在夏季和冬季用泡沫盒加冰袋的方式运输3日内数值仍能保持稳定;加速热稳定性试验验证,参考品在–20 ℃条件下保存3个月、4 ℃条件下保存21 d内均可活菌数稳定;通过协作标定,统计出参考品活菌数的赋值范围为 (8.5–12.1)×107 CFU/支;保存期试验结果证实,参考品在–70 ℃以下保存一年内活菌数可维持稳定状态。链球菌病类活疫苗活菌计数参考品,不仅可以为链球菌病类活疫苗的活菌计数实验提供参照物,而且可以用于评价马丁琼脂培养基的质量,为兽用生物制品质量控制提供保障。     

滇龙胆GrHDR基因的克隆与表达分析

龙胆苦苷(gentiopicroside)是中药龙胆中的主要药效成分,属于萜类化合物的衍生物。1-羟基-2-甲基-2-(E)-丁烯基-4-二磷酸还原酶[1-hydroxy-2-methyl-2-(E)-butenyl-4-diphosphate reductase,HDR]是萜类物质合成途径中的关键酶。为探讨不同光照条件下滇龙胆HDR(GrHDR)基因的表达与龙胆苦苷含量之间的关系,该文以滇龙胆叶片cDNA为模板,采用PCR和TA克隆技术获得GrHDR基因序列,对该序列进行生物信息学分析和表达分析,并采用高效液相色谱法测定龙胆苦苷含量,对该基因表达与龙胆苦苷含量进行比较。结果表明:(1)GrHDR基因(GenBank登录号: KJ917165.1)全长1 398 bp,编码465个氨基酸,推定GrHDR蛋白是亲水且稳定的,相对分子质量是52 281.25 Da,理论等电点是5.32;(2)该蛋白属于LYTB蛋白家族,可能定位于叶绿体上,无信号肽,二级结构主要由α-螺旋(45.16%)、β-转角(6.24%)、无规卷曲(33.98%)、延伸链(14.62%)构成;(3)GrHDR蛋白序列与同属植物秦艽的HDR蛋白相似性最高(95.71%);(4)实时荧光定量PCR结果显示GrHDR基因在滇龙胆中的表达量为根 > 叶 > 茎,而在10%、30%、100%全光光照条件下各组织的表达量有很大差异;(5)高效液相色谱法结果显示,不同光照条件下龙胆苦苷含量一致,均为根 > 叶 > 茎,其中100%全光光照下,药用部位根中龙胆苦苷含量达到7.141%,约是30%、10%全光光照条件的两倍,但该结果与同一光照条件下GrHDR基因表达规律不完全一致。该研究为阐述HDR基因功能及其与龙胆苦苷含量的关系提供参考。     

Banana defence responses to Cosmopolites sordidus feeding and methyl jasmonate application

Each year 25–75% of banana and plantain yields are lost because of rhizome damages caused by banana weevil (Cosmopolites sordidus) in growing regions of sub‐Saharan Africa. However, the specific plant defence response of the rhizome tissue in relation to the C. sordidus attack is unknown. Consequently, in this study, we evaluated whether plant defence substances in the rhizome are correlated with the degree of larval damage and whether applications of methyl jasmonate (MJ) elicit a greater induction of the plant defence potential against C. sordidus. Moreover, we attempted to reveal cellular modifications in response to the root feeding herbivore through histochemical staining. The banana cultivars “Km5” and “Mbwazirume” with tolerance and susceptibility to C. sordidus, respectively, were used in a pot experiment to evaluate percent rhizome damage, leaf chlorophyll content, total phenolic content (TPC), antioxidant capacity and cell morphology in response to C. sordidus attack and/or MJ applications compared to untreated control plants. We found that C. sordidus‐induced rhizome damage was 30% in the susceptible cultivar but less than 5% in the tolerant cultivar. The percent rhizome damage was not related to leaf chlorophyll content but showed a significant negative linear relationship to both TPC and antioxidant capacity. Larvae feeding induced a considerably greater increase of polyphenolic defence compounds in Km5 than in Mbwazirume; however, this response was opposite in the MJ treatment, suggesting that the phytohormone induced the susceptible plant to invest more into the synthesis of defence chemicals that in turn lead to reduced C. sordidus damage. Tissue staining demonstrated a greater deposition of lignin and suberin in C. sordidus challenged rhizome, presumably to seal off healthy tissue with a physical barrier from continued pest attack. It is concluded that MJ induces polyphenolics in susceptible Mbwazirume banana that reduced C. sordidus damage.     

Genetic diversity in oak populations under intensive management for fuelwood in the Sierra de Zongolica,Mexico

Firewood and charcoal are used on a daily basis both in rural areas and in cities. This type of energy is produced by one of the most ancient traditional methods, known as coppice, which harvest tree sprouts. There is controversy about its effects on forests: it preserves populations and tree cover of species used, but reduces density, inhibits sexual reproduction and generates genetic erosion. We inquired if it was possible to identify a loss of genetic diversity in oak populations traditionally used for charcoal by the Zongolica Nahuas in Veracruz state, Mexico. We studied populations of Quercus laurina, Quercus calophylla and Quercus rugosa in three different altitudes. Molecular analysis with eight nuclear codominant microsatellites was performed to determine the diversity, structure and gene flow of these species. Results for Q. laurina were Na = 8.458, I = 1.766, Ho = 0.679, polymorphism = 100%, Fis = 0.079, with intraindividual variation of 81.55%. For Q. calophylla: Na = 7.250, I = 1.563, Ho = 0.646, polymorphism = 91.67%, Fis = 0.083, with intraindividual variation of 83.80%. For Q. rugosa: Na = 6.958, I = 1.510, Ho = 0.574, polymorphism = 91.67%, Fis = 0.204, with intraindividual variation of 81.99%; this species shows signals of an early genetic isolation process. Our findings indicate that Quercus genetic diversity for the three species is high and comparable with oak species in Mexico and worldwide. We conclude that at the present, coppice is preserving a historical diversity in adult trees kept alive through sprouting. Nonetheless, problems with coppice systems elsewhere, unregulated harvesting and expansion of pine plantation in the region suggest that further studies, hand in hand with a landscape management approach that improve charcoal and firewood production, may be valuable for Sierra de Zongolica genetic biodiversity conservation.     

On computation of semiparametric maximum likelihood estimators with shape constraints

Large sample theory of semiparametric models based on maximum likelihood estimation (MLE) with shape constraint on the nonparametric component is well studied. Relatively less attention has been paid to the computational aspect of semiparametric MLE. The computation of semiparametric MLE based on existing approaches such as the expectation‐maximization (EM) algorithm can be computationally prohibitive when the missing rate is high. In this paper, we propose a computational framework for semiparametric MLE based on an inexact block coordinate ascent (BCA) algorithm. We show theoretically that the proposed algorithm converges. This computational framework can be applied to a wide range of data with different structures, such as panel count data, interval‐censored data, and degradation data, among others. Simulation studies demonstrate favorable performance compared with existing algorithms in terms of accuracy and speed. Two data sets are used to illustrate the proposed computational method. We further implement the proposed computational method in R package BCA1SG , available at CRAN.     

A penalized structural equation modeling method accounting for secondary phenotypes for variable selection on genetically regulated expression from PrediXcan for Alzheimer's disease

As the global burden of mental illness is estimated to become a severe issue in the near future, it demands the development of more effective treatments. Most psychiatric diseases are moderately to highly heritable and believed to involve many genes. Development of new treatment options demands more knowledge on the molecular basis of psychiatric diseases. Toward this end, we propose to develop new statistical methods with improved sensitivity and accuracy to identify disease‐related genes specialized for psychiatric diseases. The qualitative psychiatric diagnoses such as case control often suffer from high rates of misdiagnosis and oversimplify the disease phenotypes. Our proposed method utilizes endophenotypes, the quantitative traits hypothesized to underlie disease syndromes, to better characterize the heterogeneous phenotypes of psychiatric diseases. We employ the structural equation modeling using the liability‐index model to link multiple genetically regulated expressions from PrediXcan and the manifest variables including endophenotypes and case‐control status. The proposed method can be considered as a general method for multivariate regression, which is particularly helpful for psychiatric diseases. We derive penalized retrospective likelihood estimators to deal with the typical small sample size issue. Simulation results demonstrate the advantages of the proposed method and the real data analysis of Alzheimer's disease illustrates the practical utility of the techniques. Data used in preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative database.     

The interaction between host and host plant influences the oviposition and performance of a generalist ectoparasitoid

The successful development of parasitoids of herbivores depends on the quality of their host, which is often affected by the host plant. Therefore, a parasitoid’s oviposition decisions will directly depend on the host, but also on plant quality. Here, we investigated the direct effects of host species and the indirect effects of the host’s food plant on the oviposition decisions and performance of the gregarious ectoparasitoid Euplectrus platyhypenae Howard (Hymenoptera: Eulophidae). With a series of no‐choice experiments, we determined the oviposition and performance of the parasitoid on: (1) two caterpillar species, fall armyworm, Spodoptera frugiperda JE Smith (Lepidoptera: Noctuidae), and velvet armyworm, Spodoptera latifascia Walker, reared on maize (Zea mays L., Poaceae), (2) the same caterpillars reared on maize, bean (Phaseolus vulgaris L., Fabaceae), or squash (Cucurbita pepo L., Cucurbitaceae) leaves, and (3) S. latifascia caterpillars reared on leaves of wild and cultivated lima bean, Phaseolus lunatus L. All these insects and plants originate from Mesoamerica where they have coexisted for thousands of years in the traditional agricultural system known as Milpa in which maize, beans, and squash are planted together. We found that the preferred and best combination of host and host plant for parasitoid performance was S. frugiperda on maize. Parasitoids laid larger clutches, had higher survival, and more females and larger adults emerged from S. frugiperda reared on maize. However, when both caterpillar species were reared on squash, S. latifascia was the better host. Contrary to the literature, S. frugiperda was not able to develop on bean plants. Results from the lima bean experiment showed that parasitoid performance was best when S. latifascia was reared on leaves of cultivated compared to wild lima bean. These findings are discussed in the context of mixed cropping in which the ability of generalist parasitoids to switch among hosts and host plant species could be advantageous for pest management.