2018年中国部分地区猪瘟病毒2.1d亚型新流行株的基因组特征分析

为了解中国猪瘟病毒（classical swine fever virus，CSFV）的分子流行病学及遗传变异情况，本研究应用RT-PCR方法对2018年采集自河南、河北、山东、黑龙江和辽宁5个省份的350份疑似CSFV感染的病料进行E2和NS5B基因扩增，并对PCR产物进行测序和序列分析。结果显示，350份样品中21份为CSFV阳性，共获得14株CSFV的E2基因序列和7株CSFV的部分NS5B基因序列。E2全基因、NS5B部分基因序列分析表明，21份阳性样品均属于近年来在中国流行的CSFV 2.1d亚型，且新发现的2.1d亚型CSFV与中国较早2.1d亚型CSFV毒株间同源性差异不大，新发现的2.1d亚型CSFV分离株在E2基因的6个氨基酸（R³¹、S³⁴、W¹⁸²、K²⁰⁵、K³⁰³、A³³¹）上具有相同的分子特征，E2蛋白中15个位点上的半胱氨酸均未发生变异。韩国2.1d亚型CSFV在E2蛋白上具有3个独特的氨基酸（N⁹⁷、K¹⁵⁹、R²⁰⁵）特征，并且发现了韩国毒株YC11WB可能作为2.1b和2.1d亚型CSFV过渡毒株的证据，流行于中国和韩国的2.1d亚型CSFV可能分别来自于本国早期2.1b亚型CSFV的衍化。本研究证实，2018年中国及周边国家CSFV较为活跃，且流行毒株依然以2.1d亚型为主，为中国科学防控CSFV提供了依据。     

The future of genetic engineering to provide essential dietary nutrients and improve growth performance in aquaculture: Advantages and challenges

Advancements in gene technology in recent years have been driving the aquaculture industry forward. Improvements in growth performance, feed efficiency, and omega‐3 content are goals of the industry that could capitalize on applications of genetic engineering. One of the major challenges in the industry is to reduce the use of fish meal and oil, to improve the environmental and economic sustainability of aquaculture. The recent development of genetically engineered feed ingredients is one potential solution to the looming problem of fish meal and oil dependency. Furthermore, the development of transgenic fish has potential to improve production efficiency and other future desirable characteristics that relate to feed utilization and product quality. New gene technologies are beginning to revolutionize how we produce our food, and in aquaculture, will ultimately reduce pressure on wild fish stocks, help to preserve natural aquatic ecosystems, and improve nutritional profiles of farmed fish for human consumption. The purpose of this review is to provide an update on the current applications of genetic engineering technology to improve aquaculture through nutrition, including the development and use of transgenic feed ingredients, transgenic fish, and ultimately their impacts on nutrition, product quality, and consumers.     

植物免疫诱导剂在草莓中的应用情况

为了助力实现草莓的安全生产,对一类能诱导植物产生免疫防御反应的植物免疫诱导剂在草莓中的应用情况进行综述。主要阐述了植物免疫诱导剂的种类、诱导机理及其在草莓栽培上的应用现状,发现:植物免疫诱导剂能促进草莓生长和发育、诱导抗病性、提高产量、改善果实品质、提高耐贮性等,从而减少了化学农药的使用,有利于草莓高质量生产,应用前景广阔。     

Effects of oral administration of Spirulina platensis and probiotics on serum immunity indexes,colonic immune factors,fecal odor,and fecal flora in mice

To evaluate the effects of Spirulina platensis and probiotics on growth, immunity indexes, fecal flora, and fecal odor in mice, 40 mice were randomly allotted to four groups, and each was administrated with nothing, S. platensis, probiotics, or both for 28 days, respectively. Then, many indexes were measured. The results showed that S. platensis was more effective (P < 0.001) than probiotics in improving mice's feed conversion ration (FCR). In immunity, probiotics administration increased (P < 0.042) serum IgE, IgM, IFN-γ, colonic AHR, TLR4, and NF-κB protein expression and decreased (P < 0.039) serum IL-1α, IL-21, IL-22, and colonic ARNT gene expression. However, the S. platensis showed weaker effect, which increased (P < 0.025) the serum IgE, IgM, TNF-α, and the colonic AHR and NF-κB protein expression, and decreased (P < 0.01) serum IL-21. Probiotics consumption decreased the fecal odor by decreasing (P < 0.02) fecal Escherichia coli, indole-3-acetic acid (IAA), and skatole contents, and the S. platensis decreased (P = 0.04) the IAA. These results indicated that oral administration of probiotics, S. platensis, or both of them in mice probably benefited body's immunity and reduced fecal odor. However, their mechanisms were still unclear and need further study.     

机器学习及其在农业中应用研究的展望

机器学习是一种面向机器的数据分析方法,自动化机器学习的研究促进了人工智能的发展。大数据的快速积累,促进了机器学习算法的井喷式发展。如何选择合适的机器学习算法解决行业问题,成为了当前应用的难点。笔者整理了机器学习新材料,对各种机器算法的特点和算法之间的差异,进行了仔细的梳理,总结了各种算法的需求背景和优缺点,以及主要的应用场合。在此基础上,分析了机器学习在农业应用的案例,综述了机器学习在农业应用,指出了目前存在的发展瓶颈,并提出了进一步研究应用的建议。     

Zinc biofortification of maize (Zea mays L.): Status and challenges

Zn deficiency is one of the leading health problems in children and women of developing countries. Different interventions could be used to overcome malnutrition, but biofortification is most impactful, convenient, sustainable and acceptable intervention. Maize is one of the major crops grown and consumed in the regions with prevalent Zn malnutrition; therefore, this is suitable target for Zn biofortification. Zn biofortification of maize could be achieved through agronomic and genetic approaches. Discussion of agronomic approaches with genetic approaches is prerequisite because soils in developing countries are deficit of Zn and availability of Zn in soils is mandatory for estimating the genetic responses of maize genotypes through genetic approaches. Seed priming, foliar and soil applications are agronomic tools for biofortification, but solo and combined applications of these treatments have different effects on Zn enrichment. Genetic approaches include the increase of Zn bioavailability or increase of kernel Zn concentration. Zn bioavailability could be increased by reducing the anti‐nutritional factors or by increasing the bioavailability enhancers. Kernel Zn concentration could be improved through hybridization and selections, whereas genetically engineered attempts for improving Zn uptake from soil, loading in xylem, remobilization in grains and sequestration in endosperm can further improve the kernel Zn concentration. Key challenges associated with dissemination of Zn biofortified maize are also under discussion in this draft. Current review emphasized all of above‐mentioned contents to provide roadmap for the development of Zn biofortified maize genotypes to curb the global Zn malnutrition.     

Development of a core set of KASP markers for assaying genetic diversity in Brassica rapa subsp. chinensis Makino

Single‐nucleotide polymorphisms (SNPs) are rapid, economical and reliable genotyping tools. Non‐heading Chinese cabbage (Brassica rapa L. subsp. chinensis Makino) is now an economically important vegetable crop worldwide. In this study, 1,167 SNPs were evaluated for 7polymorphism among 70 representative non‐heading Chinese cabbage inbred lines using a Kompetitive Allele Specific PCR (KASP) genotyping assay. On the basis of identified polymorphisms and the results of a principal component analysis, we selected 50 core SNPs that were balanced sufficiently to provide adequate information for genetic identification. The core SNPs were used for construction of a neighbour‐joining dendrogram that separated the 70 inbred lines into four main groups and several subgroups corresponding to Caixin, Heiyebaicai, Huangxinwu, Naibaicai, Taitsai, Pak‐choi, and Wutatsai. This categorization was superior to that achieved using a dataset of 479 polymorphic SNPs. To confirm the utility of the core SNP markers in genetic identification, we tested their stability and resolution using 162 commercial hybrid cultivars. The SNPs, which represent a cost‐effective, accurate marker set for germplasm analysis and cultivar identification, are suitable for molecular marker‐assisted breeding in non‐heading Chinese cabbage.     

东北地区水稻纹枯病菌致病性及遗传多样性分析

为明确东北地区水稻纹枯病菌致病性及其群体遗传多样性,将2018年采自东北三省13个水稻主产区的病样分离纯化,共获得176个立枯丝核菌菌株。采用离体叶片接种法测定菌株致病力,利用SRAP分子标记技术分析其遗传多样性。致病力测定结果表明,东北三省各地区菌株致病力存在分化现象,供试的176个菌株中,强致病力菌株占全部菌株23.3%;中等致病力菌株占61.9%;弱致病力菌株占14.8%。地理来源与致病力无明显相关性。根据UPGMA聚类分析,当相似系数为0.63时,176个菌株被划分为6个类群。聚类结果与地理来源具有相关性,但与致病力无明显相关性。利用16对SRAP引物分析176个立枯丝核菌菌株遗传多样性,共得到2 237个扩增条带,多态性频率为82.16%;基因多样度(h)、Shannon信息指数(I)分别为0.2827、0.4150。东北各地区立枯丝核菌群体间遗传距离与地理距离呈一定正相关。群体遗传分化系数Gst=0.3319,基因流Nm=1.0063,说明东北地区立枯丝核菌群体遗传分化度较高且群体间存在基因交流。AMOVA分析结果表明,群体内遗传分化为67.84%,遗传变异主要发生在群体内部。     

湿地松产脂量与生长及树冠性状多点遗传相关及通径分析

为研究湿地松生长及树冠性状与产脂量之间的遗传相关关系及其对产脂量的控制途径,以赣北、赣中和赣南等多种典型立地条件下的28年生湿地松家系试验林为研究对象,对112个湿地松家系进行产脂量、生长及树冠性状全林调查,并对测定数据进行分析。结果表明,除枝下高外,产脂量与生长及树冠性状均呈显著或极显著遗传正相关关系,遗传相关系数排名前四的性状分别为胸径(R=0.93)、树冠表面积(R=0.83)、冠长(R=0.78)和冠幅(R=0.73);通径分析中,胸径、树高、树冠表面积和冠幅通过直接和间接作用成为影响产脂量的主导因素,其决定系数贡献率分别为0.557、0.507、0.424和0.240;产脂量与生长、树冠性状的线性回归方程为:y=-0.255+0.040x_(DBH)+0.004x_(HGT)+0.006x_(CSA)+0.036x_(CW)(F=955.907^**, R²=0.559),模型的预估精度为99.64%。本试验结果明确了湿地松生长及树冠性状与产脂量之间的关系,其中,树高、胸径、冠幅和树冠表面积对产脂量影响较大;建立的产脂量多元回归模型具有一定的现实意义,实现了对树高、胸径和树冠表面积等性状的快速测定预估产脂量,为湿地松产脂量的科学、准确与高效预测提供了依据。