Identification of Prorocentrum minimum and Takayama pulchella by fluorescence in situ hybridization through epifluorescence microscopy and flow cytometry     

HOU Jianjun          LAI Hongyan  HUANG Bangqin  CHEN Jixin College of Fisheries  Huazhong Agricultural University  Wuhan  China College of Life Sciences  Hubei Normal University  Huangshi  China State Key Laboratory of Marine Environmental Science  Environmental Science Research Center  Xiamen University  Xiamen  China Key Laboratory of Freshwater Fish Germplasm Resources  Biotechnology  Yangtse River Fisheries Research Institute  Jinzhou  China State Key La... 《海洋学报(英文版)》2009,28(2)

Partial rDNA sequences of Prorocentrum minimum and Takayama pulchella were amplified, cloned and sequenced, and these sequence data were deposited in the GenBank. Eight oligonucleotide probes (DNA probes) were designed based on the sequence analysis. The probes were employed to detect and identify P. minimum and T. pulchella in unialgal and mixed algal samples with a fluorescence in situ hybridization method using flow cytometry. Epifluorescence micrographs showed that these specific probes labeled with flu...  相似文献   

聚类分级和BP神经网络在自然崩落法矿岩可崩性分级中的应用   总被引：3，自引：0，他引：3  

陈清运  蔡嗣经  明世祥  赵飞 《化工矿产地质》2004,26(2):112-116

以矿岩RQD、RMQ和RMR值为基础进行矿岩可崩性聚类综合分级,解决了同一地质测段分级结果的不一致性,明确了可崩性级别;利用样本中易测评判指标建立矿岩可崩性BP神经网络分析模型进行矿岩可崩性分级,解决了用钻孔资料进行矿岩可崩性分级精度不高的问题。程潮铁矿自然崩落法试验区段的矿岩可崩性分级表明矿岩可崩性属于极易一中等崩落,与生产实际相符,在生产中可应用该方法进行矿岩可崩性分级工作。  相似文献