Comparative evaluation of conventional polymerase chain reaction (PCR), with loop-mediated isothermal amplification and SYBR green I-based real-time PCR for the quantitation of porcine circovirus-1 DNA in contaminated samples destined for vaccine production
文献类型: 外文期刊
第一作者: Yang, Bo-Chao
作者: Yang, Bo-Chao;Wang, Feng-Xue;Zhang, Shu-Qin;Song, Ni;Wen, Yong-Jun;Yang, Bo-Chao;Li, Jian-Xi;Yang, Zhi-Qiang;Wu, Hua
作者机构:
关键词: Porcine circovirus type1;Polymerase chain reaction;Real-time polymerase chain reaction;Loop-mediated isothermal amplification;SYBR green I-mediated polymerase chain reaction
期刊名称:JOURNAL OF VIROLOGICAL METHODS ( 影响因子:2.014; 五年影响因子:2.001 )
ISSN: 0166-0934
年卷期: 2013 年 191 卷 1 期
页码:
收录情况: SCI
摘要: Porcine circovirus type1 (PCV1), described initially as a contaminant of a porcine kidney cell line, is ubiquitous within the swine population The presence of PCV1 in porcine cell lines can lead to contamination during both human and porcine vaccine production. Therefore, a rapid, specific, sensitive and practical method is needed for the detection of PCV1 in bio-products. The aim of this study was to compare three assays in their ability to accurately quantify PCV1 virus in biological samples, namely loop-mediated isothermal amplification (LAMP), SYBR green I-based real-time polymerase chain reaction (PCR) and conventional PCR. All assays yielded successful quantitation of PCV1 DNA and differentiated between PCV1-free and-contaminated cells. In addition, the results were specific for PCV1, since amplification of samples containing closely-related PCV2 or other pathogenic swine viruses yielded negative results. The lowest detection threshold of 10(2) copies was displayed by the SYBR green I-based real-time PCR assay. In addition, this assay was the most effective in detecting PCV1 contamination in a set of commercially available porcine vaccines. Therefore we conclude that SYBR green I-based real-time PCR is specific and sensitive for detecting PCV1 in biological samples and maybe used for quality control of vaccine and biomaterial production. (C) 2013 Elsevier B.V. All rights reserved.
分类号:
- 相关文献
作者其他论文 更多>>
-
Observed different impacts of potential tree restoration on local surface and air temperature
作者:Li, Yitao;Tang, Ronglin;Li, Yitao;Tang, Ronglin;Song, Xiaoning;Li, Zhao-Liang;Liu, Xiangyang;Si, Menglin;Li, Jing;Duan, Sibo;Leng, Pei;Wu, Hua;Lian, Xu;Zhou, Chenghu;Zhao, Wei;Shi, Qian;Zhao, Enyu;Gao, Caixia
关键词:
-
A robust framework for accurate land surface temperature retrieval: Integrating split-window into knowledge-guided machine learning approach
作者:Cheng, Yuanliang;Wu, Hua;Zhang, Xingxing;Li, Xiujuan;Zhang, Huanyu;Li, Yitao;Wu, Hua;Cheng, Yuanliang;Li, Xiujuan;Zhang, Huanyu;Li, Yitao;Li, Zhao-Liang;Goettsche, Frank-M.
关键词:Land surface temperature; Retrieval; Knowledge-guided machine learning; Split-window; Validation
-
A novel correlation-hypothesis based single channel method for land surface temperature retrieval with reduced atmospheric dependency
作者:Li, Xiu-Juan;Wu, Hua;Li, Xiu-Juan;Wu, Hua;Li, Zhao-Liang;Zhang, Xing-Xing;Cheng, Yuan-Liang;Li, Xiu-Juan;Wu, Hua;Li, Zhao-Liang;Zhang, Xing-Xing;Cheng, Yuan-Liang;Li, Zhao-Liang;Li, Xiu-Juan;Sobrino, Jose Antonio
关键词:Land surface temperature; Single channel method; Thermal infrared remote sensing; Landsat 7
-
A framework of crop water productivity estimation from UAV observations: A case study of summer maize
作者:Cheng, Minghan;Sun, Chengming;Jin, Xiuliang;Cheng, Minghan;Sun, Chengming;Jin, Xiuliang;Cheng, Minghan;Jin, Xiuliang;Cheng, Minghan;Jin, Xiuliang;Song, Ni;Penuelas, Josep;McCabe, Matthew F.;Jiao, Xiyun;Lv, Yuping
关键词:Crop water productivity; Maize; Surface energy balance; Machine learning; Error propagation theory
-
Novel Insights into the Control of Sitophilus zeamais in Grain by Chitosan-Nanoparticle-Contained dsSzCOX
作者:Lu, Xiao-Peng;Jiang, Lin-Lin;Li, Yue;Hou, Pu-Xing;Xu, Jia-Lu;Wu, Hua;Ma, Zhi-Qing;Zhou, Xiao-Yun;Wu, Hua;Ma, Zhi-Qing
关键词:
Sitophilus zeamais ; chitosan; RNA interference; RNA insecticides; cytochromec oxidase core subunits -
Regional Soil Moisture Estimation Leveraging Multi-Source Data Fusion and Automated Machine Learning
作者:Li, Shenglin;Zhu, Pengyuan;Song, Ni;Li, Caixia;Wang, Jinglei
关键词:soil moisture; multi-source remote sensing; automated machine learning; data fusion
-
Two-step fusion framework for generating 10 m resolution soil moisture with high accuracy in the cotton fields of southern Xinjiang
作者:Li, Shenglin;Jiang, Shuqi;Song, Ni;Han, Yang;Wang, Jinglei
关键词:Soil moisture; High-resolution; Downscaling; Automated machine learning; Xinjiang cotton fields