玉米大斑病菌和小斑病菌交配型多重PCR 检测方法的建立与应用

【目的】由大斑突脐蠕孢（Exserohilum turcicum）和玉蜀黍平脐蠕孢（Bipolaris maydis）引起的玉米大斑病和小斑病是玉米生产上重要的叶部真菌病害,本研究旨在建立玉米大斑病菌和小斑病菌交配型多重PCR检测方法,为玉米大斑病菌和小斑病菌的交配型田间分布和有性生殖研究提供技术方法。【方法】根据GenBank中已登录的玉米大斑病菌（登录号MAT1-1：GU997138和MAT1-2：GU997137）和小斑病菌（登录号MAT1-1：X68399和MAT1-2：X68398）交配型基因序列,利用Primer Premier 5.0软件设计2种病原菌交配型多重PCR检测特异性引物,采用单因素法对引物的退火温度以及扩增程序中延伸时间和循环数等重要参数进行优化,建立玉米大斑病菌和小斑病菌交配型多重PCR检测方法,并对2种病原菌的交配型多重PCR检测灵敏度和特异性进行检验。同时,对田间采集的129株玉米大斑病菌和194株玉米小斑病菌单孢菌株的交配型进行多重PCR检测,以明确建立的交配型多重PCR检测方法的适用性。【结果】建立的多重PCR方法和设计的交配型特异引物StMAT01-2F/R、StMAT02-3F/R、ChMAT01-3F/R和ChMAT02-2F/R可分别扩增出MAT1-1、MAT1-2型菌株大小为816、132 bp（大病斑菌）与490、136 bp（小病斑菌）的特异性目的条带。25 μL多重PCR扩增体系：2×Multiplex PCR Mix 12.5 μL,引物各10 pmol,DNA模板100 ng,退火温度为57.2℃（大病斑菌）和55.0℃（小斑病菌）,35个循环。该多重PCR对玉米大斑病菌MAT1-1、MAT1-2型单孢菌株的检测灵敏度分别为0.1、0.01 ng基因组DNA,而对玉米小斑病菌MAT1-1、MAT1-2交配型的检测灵敏度均为0.1 ng基因组DNA。该交配型多重PCR检测方法对玉米大斑病菌和小斑病菌特异性很强,能够很好地区分玉米大斑病菌和小斑病菌相应的近缘种和14株其他真菌菌株。不同地理来源的玉米大斑病菌和小斑病菌交配型检测结果表明,该多重PCR能够准确地检出129株玉米大斑病菌和194株玉米小斑病菌的交配型,且检测结果与随机抽取的菌株杂交验证结果完全吻合。【结论】构建的玉米大斑病菌和小斑病菌交配型多重PCR检测方法灵敏度高、特异性好、操作简便,能够准确、快速地检测出玉米大斑病菌和小斑病菌的交配型,为玉米大斑病菌和小斑病菌的交配型田间分布和监测及有性生殖研究提供了可靠的技术方法。     

亚洲不同生态区水稻群体遗传多样性与特异性分析

研究不同生态区水稻群体的遗传多样性及其遗传结构分化、群体特异性及其相互关系,为水稻起源及亲本遴选提供遗传基础。选取均匀分布在水稻12条染色体上119对SSR标记,对440个品种进行全基因组扫描,利用PowerMarker 3.25和Structure 2.2进行遗传多样性和群体结构分析。在太湖流域水稻中检测到781个等位基因,平均多态信息含量(PIC)为0.52;在黑龙江水稻中检测到295个等位基因,PIC为0.25;在越南水稻中共检测到370个等位基因,PIC为0.30,这表明越南水稻和黑龙江水稻的多样性低于太湖水稻。特缺等位变异数最多的是黑龙江亚群(132),最少的是太湖亚群(4);特有等位变异数最多的是太湖亚群(284),最少的是黑龙江亚群(25)。从亚群间补充等位变异数来看,其补充等位变异数最多的是太湖亚群对黑龙江亚群的补充(447),最少的是黑龙江亚群对太湖亚群的补充(29)。利用Structure2.2软件将3个地区的440个品种分为7类血缘,发现每个血缘都不是独立的而是相互渗透的。不同生态类型水稻遗传背景既相互融合又相互补充,在品种培育上加以利用可拓宽育种资源。     

银鲳不同组织中4种同工酶的表达差异

采用聚丙烯酰胺凝胶电泳技术,分析了银鲳(Pampus argenteus)脾脏、肝脏、肌肉、心脏、肾脏等5种组织中酯酶(EST)、乳酸脱氢酶(LDH)、谷氨酸脱氢酶(GDH)、乙醇脱氢酶(ADH)等4种同工酶的表达模式,并对各种同工酶的酶谱进行了分析。结果表明:这4种同工酶在银鲳5种组织中的分布均存在一定的组织特异性,其与各组织的生理机能密切相关。银鲳4种同工酶共记录出61条酶带,其中EST被检测出的酶带数量最多也较复杂,ADH同工酶酶带数量最少,只有6条酶带被检测到,LDH和GDH分别检测到16条和9条酶带;组织特异性主要表现在位点表达和酶活性强弱不同这两个方面,GDH1和ADH2只在肝脏中表达。     

应用巢式RT-PCR检测水仙退化病毒1

水仙退化病毒（Narcissus degeneration virus，NDV）是水仙上发生较为严重的病毒之一。本文根据 NDV 已报道的外壳蛋白基因序列，设计特异性引物，以感病水仙的总 RNA 为模板，建立了快速检测 NDV 的巢式 RT-PCR 方法。结果表明，巢式 RT-PCR 具有良好的特异性和灵敏度，能够从感染 NDV 的水仙样品上扩增出与预期大小相符的特异性目的条带，同时与其他病毒无交叉反应；灵敏度测定结果表示，巢式 RT-PCR 灵敏度较高，是普通 RT-PCR 的104倍，当 RNA 稀释到109倍时仍能被检测到。本文建立的巢式 RT-PCR 为水仙上 NDV 的快速检测提供了技术参考依据。     

Isolation and characterization of novel soilborne lytic bacteriophages infecting Dickeya spp. biovar 3 (‘D. solani’)

Nine bacteriophages infecting Dickeya spp. biovar 3 (‘Dickeya solani’) were isolated from soil samples collected in different regions in Poland. The phages have a typical morphology of the members of the order Caudovirales, family Myoviridae, with a head diameter of c. 90–100 nm and tail length of c. 120–140 nm. In host range experiments, phage ?D5 expressed the broadest host range, infecting members of all Dickeya spp., and phage ?D7 showed the narrowest host range, infecting isolates of Dickeya dadantii and ‘D. solani’ only. None of the phages was able to infect Pectobacterium spp. isolates. All phages were prone to inactivation by pH 2, temperature of 85°C and by UV illumination for 10 min (50 mJ cm^?2). Additionally, phages ?D1, ?D10 and ?D11 were inactivated by 5 m NaCl and phage ?D2 was inactivated by chloroform. Phages ?D1, ?D5, ?D7 and ?D10 were characterized for optimal multiplicity of infection and the rate of adsorption to the bacterial cells. The latent period was 30 min for ?D1, 40 min for ?D5, 20–30 min for ?D7 and 40 min for ?D10. The estimated burst size was c. 100 plaque‐forming units per infected cell. The bacteriophages were able to completely stop the growth of ‘D. solani’ in vitro and to protect potato tuber tissue from maceration caused by the bacteria. The potential use of bacteriophages for the biocontrol of biovar 3 Dickeya spp. in potato is discussed.     

日本乙型脑炎病毒ELISA抗体检测试剂盒的研制及初步应用

采用日本乙型脑炎病毒单克隆抗体预包被酶标板,将纯化的日本乙型脑炎病毒(JEV)作为检测用抗原,利用包被捕获法建立了用于检测猪乙型脑炎抗体的间接ELISA法。采用建立的ELISA法对50份已知阴性血清样本检测,临界OD450nm值为0.343,ELISA与IFA对200份血清进行平行检测,总符合率为92.9%,与商品化的同类国产试剂盒的符合率为95%。与其他常见的猪病毒阳性血清抗体无交叉反应,2~8℃保存12个月稳定。研制的ELISA抗体检测试剂盒为临床JEV血清抗体检测及其疫苗的免疫效果评价提供了技术手段。     

Bonamia in Ostrea angasi: Diagnostic performance,field prevalence and intensity

Bonamia spp. parasites threaten flat oyster (Ostrea spp.) farming worldwide. Understanding test performance is important for designing surveillance and interpreting diagnostic results. Following a pilot survey which found low Bonamia sp. intensity in farmed Ostrea angasi, we tested further oysters (n = 100–150) from each of three farms for Bonamia sp. using heart smear, histology and qPCR. We used a Bayesian Latent Class Model to assess diagnostic sensitivity (DSe) and specificity (DSp) of these tests individually or in combination, and to assess prevalence. Histology was the best individual test (DSe 0.76, DSp 0.93) compared to quantitative polymerase chain reaction (qPCR) (DSe 0.69, DSp 0.93) and heart smear (DSe 0.61, DSp 0.60). Histology combined with qPCR and defining a positive from either test as an infected case maximized test performance (DSe 0.91, DSp 0.88). Prevalence was higher at two farms in a high‐density oyster growing region than at a farm cultivating oysters at lower density. Parasite intensities were lower than in New Zealand and European studies, and this is probably contributed to differences in the performance of test when compared to other studies. Understanding diagnostic test performance in different populations can support the development of improved Bonamia surveillance programs.     

Design standards for experimental and field studies to evaluate diagnostic accuracy of tests for infectious diseases in aquatic animals

Design and reporting quality of diagnostic accuracy studies (DAS) are important metrics for assessing utility of tests used in animal and human health. Following standards for designing DAS will assist in appropriate test selection for specific testing purposes and minimize the risk of reporting biased sensitivity and specificity estimates. To examine the benefits of recommending standards, design information from published DAS literature was assessed for 10 finfish, seven mollusc, nine crustacean and two amphibian diseases listed in the 2017 OIE Manual of Diagnostic Tests for Aquatic Animals. Of the 56 DAS identified, 41 were based on field testing, eight on experimental challenge studies and seven on both. Also, we adapted human and terrestrial‐animal standards and guidelines for DAS structure for use in aquatic animal diagnostic research. Through this process, we identified and addressed important metrics for consideration at the design phase: study purpose, targeted disease state, selection of appropriate samples and specimens, laboratory analytical methods, statistical methods and data interpretation. These recommended design standards for DAS are presented as a checklist including risk‐of‐failure points and actions to mitigate bias at each critical step. Adherence to standards when designing DAS will also facilitate future systematic review and meta‐analyses of DAS research literature.