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以糙皮侧耳Pleurotus ostreatus菌株新831和豫6为材料,从这两个菌株的菌丝体中提取了糙皮侧耳病毒基因组,共有3个dsRNA片段,大小分别为8.2kb、2.6kb和1.1kb。采用菌丝尖端分离脱毒、原基组织分离脱毒和原生质体再生脱毒技术对糙皮侧耳菌丝体进行脱毒处理,利用dsRNA技术对脱毒效果进行检测。结果显示,原基组织分离脱毒后3个条带依然存在;菌丝尖端分离脱毒后,8.2kb和1.1kb 2个条带完全脱除,2.6kb的条带亮度有所减弱;原生质体再生脱毒后3个条带完全脱除;对3种脱毒技术得到的菌株进行生理生化指标测定,结果显示,原生质体再生脱毒菌株的菌丝生长速度、生物量、呼吸强度、纤维素酶活等均明显优于出发菌株、原基组织分离脱毒和菌丝尖端分离脱毒菌株;栽培结果表明,原生质体再生脱毒菌株前两茬菇的生物学效率达到96.4%-99.1%,比出发菌株提高19.9%-25.4%,并且菌盖宽度和长度有所增加,表明原生质体再生技术可以有效脱除糙皮侧耳菌株病毒,提高糙皮侧耳栽培产量。 相似文献
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大蒜普遍感染病毒,是影响产量的关键因素.应用生物技术对大蒜进行脱毒研究,获得了脱毒再生植株和脱毒蒜.结果表明,选用带一片叶原基的茎端作外殖体比较适宜,既能保证成活率,又有较好的脱毒效果;筛选出适宜茎端生长的培养基MS附加KT0.5mg/l,NAA0.5mg/l,成苗率70%以上;筛选出低浓度盐的生根培养基,生根率100%;采用电镜定量检测法进行病毒测定,再生株脱毒率达到53.8%.已获得脱毒的二代两瓣大蒜,其直径和重量已经超过正常的商品蒜. 相似文献
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【目的】评价5种不同脱毒方法对金针菇(Flammulina velutipes)菌株的脱毒效果,筛选出脱毒率高和脱毒后金针菇菌株菌丝生长速度、生物量、漆酶活力等性状改善明显的脱毒方法。【方法】以栽培金针菇菌株F-4889为研究材料,从菌丝体中提取大小约2.0 kb的病毒dsRNA,经RT-PCR鉴定该病毒为金针菇褐化病毒(FvBV)。采用菌丝尖端分离、原基组织分离、原生质体单核化、有性生殖和核迁移5种脱毒方法对金针菇菌株进行脱毒处理,利用dsRNA技术和RT-PCR检测脱毒效果。【结果】菌丝尖端分离脱毒后得到1株脱毒菌株;原基组织分离法未能脱毒;原生质体单核化脱毒法得到3株脱毒单核菌株和2株原单杂交脱毒菌株;有性生殖脱毒法获得脱毒孢子单核菌株23株和单孢杂交脱毒菌株8株;核迁移脱毒后得到5株核迁移脱毒菌株。脱毒率依次为25.0%、0、7.5%、57.5%和100%。脱毒菌株的菌丝生长速度、生物量、漆酶活力等均优于出发菌株、菌丝尖端和原基组织分离菌株。【结论】这5种方法中原生质体单核化、有性生殖和核迁移脱毒法脱毒效果较佳,均能有效脱除FvBV,脱毒率高,脱毒后菌株菌丝生长速度、生物量、漆酶活力等均明显提高。 相似文献
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重金属与农药污染的农业土壤脱毒过程研究进展 总被引:2,自引:0,他引:2
农业土壤环境自身脱毒过程是极其复杂的生态化学过程,对于土壤健康质量的维持和改善具有重要意义。然而,一直以来,人们对污染物的致毒过程研究得较多,对农业土壤自身脱毒能力及机制未给予足够重视。本文就农业土壤环境中,重金属与农药污染物的吸附脱毒、非生物降解(水解、光解)脱毒、微生物降解脱毒、土壤酶学脱毒、根际环境中的降解和转化脱毒以及植物富集固定进行了综述,并分析了各脱毒过程中所涉及到的反应机理。 相似文献
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半夏是我国传统中药材,长期无性繁殖导致病毒积累对半夏产量和品质造成了严重影响。由于半夏茎尖病毒积累少,利用半夏茎尖脱毒快繁技术可有效解决病毒害严重的问题。本研究从半夏主要病毒种类、脱毒方法、组培快繁和病毒检测等方面对半夏脱毒与快繁技术进行综述,以期为半夏脱毒快繁体系的建立提供参考。 相似文献
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【目的】从乳酸菌群含量丰富的动物肠道中筛选具有黄曲霉毒素B1(AFB1)脱毒应用前景的乳酸菌种。【方法】通过设计脱毒乳酸菌种特异性富集分离培养基,从肉鸡肠道粪便中筛选具有AFB1脱毒能力的微生物菌种,对脱毒菌种进行脱毒机理初步分析,并通过形态学、生理生化和系统发育学方法,鉴定脱毒菌种的系统分类学地位。【结果】脱毒菌株LAB-10经脱毒机理及降解能力测试分析,初步确定其AFB1的脱毒机理为生物降解作用,菌株LAB-10对14μg/L浓度AFB1在48 h的降解率为63.4%。形态学、生理生化及系统发育学研究结果表明,菌株LAB-10系统分类学地位为乳酸杆菌属的发酵乳杆菌。【结论】发酵乳杆菌LAB-10属于益生菌群,生物安全性高,该菌株在黄曲霉毒素降解测试培养基中显示出显著的AFB1降解能力,具有一定的应用潜力。 相似文献
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湿沙催芽对脱毒马铃薯原原种的生长及产量的影响 总被引:1,自引:0,他引:1
过对脱毒荷兰马铃薯原原种(品种名:Favorita拉丁名:SolanumtuberosumL.)在播种前进行的两种不同催芽处理的对比试验,发现湿沙催芽的种薯生长势及单株产量明显高于普通散射光催芽的种薯。湿沙催芽对种薯地上部生长的作用主要表现在:增加了地上部茎数;提高了茎的生长速率(单位时间内生长量),植株高度明显高于普通催芽的种薯;主茎叶龄的增长速率虽然相同,但经过湿沙催芽种薯主茎叶龄比未经湿沙埋藏处理的提前生长一片叶。湿沙催芽对种薯地下部分生长的作用主要表现在提高了单株结薯数和单个薯块的均匀度。在脱毒马铃薯种薯生产序列中(原原种→原种→生产种)湿沙催芽对马铃薯原种的薯块形体和产量具有积极的意义。 相似文献
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随着信息化手段的不断丰富,新型教育理念结合线上学习平台的新信息化教学模式成为高校课堂的改革新趋势。本次教学改革利用科学(Science)、技术(Technology)、工程(Engineering)、艺术(Art)和数学(Mathematics)多学科融合的超学科教育理念(简称STEAM教育)对教师教学过程进行了整体设计,同时借助“线上+线下”教学平台对学生学习过程进行了全面优化。将原本分散的验证型、操作型实验重新整合串联成以多角度“项目式”任务为主线、以Blackboard线上平台为辅线的自主研究型实验项目。新型教学模式以学生为主体,给学生提供更多自我展示和讨论互动的平台。从学生的课堂表现、知识测验、课后反馈、实验操作及实验报告4个方面对新型模式下的教学效果进行了分析和评价。结果表明,此模式不仅提高了学生在微生物学实验中的学习质量,增强了其学习主观能动性,而且有利于培养和提升学生的问题探究及实践创新能力。这一新型教学模式对其他生物学科实验课程的教学具有一定的借鉴意义。 相似文献
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Spot Detection and Image Segmentation in DNA Microarray Data 总被引:3,自引:0,他引:3
Following the invention of microarrays in 1994, the development and applications of this technology have grown exponentially. The numerous applications of microarray technology include clinical diagnosis and treatment, drug design and discovery, tumour detection, and environmental health research. One of the key issues in the experimental approaches utilising microarrays is to extract quantitative information from the spots, which represent genes in a given experiment. For this process, the initial stages are important and they influence future steps in the analysis. Identifying the spots and separating the background from the foreground is a fundamental problem in DNA microarray data analysis. In this review, we present an overview of state-of-the-art methods for microarray image segmentation. We discuss the foundations of the circle-shaped approach, adaptive shape segmentation, histogram-based methods and the recently introduced clustering-based techniques. We analytically show that clustering-based techniques are equivalent to the one-dimensional, standard k-means clustering algorithm that utilises the Euclidean distance. 相似文献
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桑黄粗多糖除蛋白及抗肿瘤活性 总被引:1,自引:0,他引:1
旨在研究Sevag法除桑黄粗多糖中蛋白的最佳工艺,并通过噻唑蓝(MTT)细胞比色法测定除蛋白前后桑黄多糖的抗肿瘤活性。在单因素试验Sevag用量、氯仿与正丁醇体积比、萃取次数、震荡时间的基础上,设计正交试验,经过方差分析,确定Sevag法除桑黄粗多糖蛋白的最佳方案;并且对除蛋白后多糖与粗多糖进行体外抗肿瘤实验。Sevag法除桑黄粗多糖蛋白的最佳工艺:Sevag用量50 mL、V(氯仿)/V(正丁醇)=3、最佳萃取次数6次、最佳振荡时间20 min,在此条件下,多糖的得率为64.8%。体外细胞试验表明除蛋白后多糖与粗多糖对肿瘤细胞EC109和SiHa的抑制率没有明显差异。 相似文献
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Background
It has been shown that people can only maintain one problem state, or intermediate mental representation, at a time. When more than one problem state is required, for example in multitasking, performance decreases considerably. This effect has been explained in terms of a problem state bottleneck.Methodology
In the current study we use the complimentary methodologies of computational cognitive modeling and neuroimaging to investigate the neural correlates of this problem state bottleneck. In particular, an existing computational cognitive model was used to generate a priori fMRI predictions for a multitasking experiment in which the problem state bottleneck plays a major role. Hemodynamic responses were predicted for five brain regions, corresponding to five cognitive resources in the model. Most importantly, we predicted the intraparietal sulcus to show a strong effect of the problem state manipulations.Conclusions
Some of the predictions were confirmed by a subsequent fMRI experiment, while others were not matched by the data. The experiment supported the hypothesis that the problem state bottleneck is a plausible cause of the interference in the experiment and that it could be located in the intraparietal sulcus. 相似文献17.
沙蛤中牛磺酸的制备研究 总被引:3,自引:0,他引:3
以沙蛤提取液中牛磺酸含量为指标,考察乙醇回流法、水煮法和预处理方法,并采用单因素和正交实验法优化工艺条件,确定了沙蛤中提取牛磺酸的最佳工艺。结果:提取牛磺酸的最佳工艺条件为:超声波破碎15 m in,60℃下80%乙醇回流40 m in,该条件下所得牛磺酸质量分数达6.41 mg.g-1原料。结论:超声波破碎与乙醇回流方法相结合,利于牛磺酸溶出,其含量提高26.9%。 相似文献
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Predicting residue-residue distance relationships (eg, contacts) has become the key direction to advance protein structure prediction since 2014 CASP11 experiment, while deep learning has revolutionized the technology for contact and distance distribution prediction since its debut in 2012 CASP10 experiment. During 2018 CASP13 experiment, we enhanced our MULTICOM protein structure prediction system with three major components: contact distance prediction based on deep convolutional neural networks, distance-driven template-free (ab initio) modeling, and protein model ranking empowered by deep learning and contact prediction. Our experiment demonstrates that contact distance prediction and deep learning methods are the key reasons that MULTICOM was ranked 3rd out of all 98 predictors in both template-free and template-based structure modeling in CASP13. Deep convolutional neural network can utilize global information in pairwise residue-residue features such as coevolution scores to substantially improve contact distance prediction, which played a decisive role in correctly folding some free modeling and hard template-based modeling targets. Deep learning also successfully integrated one-dimensional structural features, two-dimensional contact information, and three-dimensional structural quality scores to improve protein model quality assessment, where the contact prediction was demonstrated to consistently enhance ranking of protein models for the first time. The success of MULTICOM system clearly shows that protein contact distance prediction and model selection driven by deep learning holds the key of solving protein structure prediction problem. However, there are still challenges in accurately predicting protein contact distance when there are few homologous sequences, folding proteins from noisy contact distances, and ranking models of hard targets. 相似文献