Based on the DNA sequences of the junctions between recombinant and cotton genomic DNA of the two genetically modified (GM) cotton varieties, herbicide-tolerance Mon1445 and insect-resistant Mon531, event-specific primers and probes for qualitative and quantitative PCR detection for both GM cotton varieties were designed, and corresponding detection methods were developed. In qualitative PCR detection, the simplex and multiplex PCR detection systems were established and employed to identify Mon1445 and Mon531 from other GM cottons and crops. The limits of detection (LODs) of the simplex PCR were 0.05% for both Mon1445 and Mon531 using 100 ng DNA templates in one reaction, and the LOD of multiplex PCR analysis was 0.1%. For further quantitative detection using TaqMan real-time PCR systems for Mon1445 and Mon531, one plasmid pMD-ECS, used as reference molecule was constructed, which contained the quantitative amplified fragments of Mon1445, Mon531, and cotton endogenous reference gene. The limits of quantification (LOQs) of Mon1445 and Mon531 event-specific PCR systems using plasmid pMD-ECS as reference molecule were 10 copies, and the quantification range was from 0.03 to 100% in 100 ng of the DNA template for one reaction. Thereafter, five mixed cotton samples containing 0, 0.5, 0.9, 3 and 5% Mon1445 or Mon531 were quantified using established real-time PCR systems to evaluate the accuracy and precision of the developed real-time PCR detection systems. The accuracy expressed as bias varied from 1.33 to 8.89% for tested Mon1445 cotton samples, and from 2.67 to 6.80% for Mon531. The precision expressed as relative standard deviations (RSD) were different from 1.13 to 30.00% for Mon1445 cotton, and from 1.27 to 24.68% for Mon531. The range of RSD was similar to other laboratory results (25%). Concluded from above results, we believed that the established event-specific qualitative and quantitative PCR systems for Mon1445 and Mon531 in this study are acceptable and suitable for GM cotton identification and quantification.
Toward the development of reliable qualitative and quantitative Polymerase Chain Reaction (PCR) detection methods of transgenic tomatoes, one tomato (Lycopersicon esculentum) species specific gene, LAT52, was selected and validated as suitable for using as an endogenous reference gene in transgenic tomato PCR detection. Both qualitative and quantitative PCR methods were assayed with 16 different tomato varieties, and identical amplified products or fluorescent signals were obtained with all of them. No amplified products and fluorescent signals were observed when DNA samples from 20 different plants such as soybean, maize, rapeseed, rice, and Arabidopsis thaliana were used as templates. These results demonstrated that the amplified LAT52 DNA sequence was specific for tomato. Furthermore, results of Southern blot showed that the LAT52 gene was a single-copy gene in the different tested tomato cultivars. In qualitative and quantitative PCR analysis, the detection sensitivities were 0.05 and 0.005 ng of tomato genomic DNA, respectively. In addition, two real-time assays employing this gene as an endogenous reference gene were established, one for the quantification of processed food samples derived from nontransgenic tomatoes that contained degraded target DNA and the other for the quantification of the junction region of CaMV35s promoter and the anti-sense ethylene-forming enzyme (EFE) gene in transgenic tomato Huafan No. 1 samples. All of these results indicated that the LAT52 gene could be successfully used as a tomato endogenous reference gene in practical qualitative and quantitative detection of transgenic tomatoes, even for some processed foods derived from transgenic and nontransgenic tomatoes.
Genetically modified (GM) cotton lines have been approved for commercialization and widely cultivated in many countries, especially in China. As a step towards the development of reliable qualitative and quantitative PCR methods for detecting GM cottons, we report here the validation of the cotton (Gossypium hirsutum) endogenous reference control gene, Sad1, using conventional and real-time (RT)-PCR methods. Both methods were tested on 15 different G. hirsutum cultivars, and identical amplicons were obtained with all of them. No amplicons were observed when DNA samples from three species of genus Gossypium, Arabidopsis thaliana, maize, and soybean and others were used as amplified templates, demonstrating that these two systems are specific for the identification and quantification of G. hirsutum. The results of Southern blot analysis also showed that the Sad1 gene was two copies in these 15 different G. hirsutum cultivars. Furthermore, one multiplex RT-quantitative PCR employing this gene as an endogenous reference gene was designed to quantify the Cry1A(c) gene modified from Bacillus thuringiensis (Bt) in the insect-resistant cottons, such as Mon531 and GK19. The quantification detection limit of the Cry1A(c) and Sad1 genes was as low as 10 pg of genomic DNA. These results indicate that the Sad1 gene can be used as an endogenous reference gene for both qualitative and quantitative PCR detection of GM cottons.
An Agent-as-a-Service (AaaS)-based geospatial service aggregation is proposed to build a more efficient, robust and intelligent geospatial service system in the Cloud for flood emergency response. It involves an AaaS infrastructure, encompassing the mechanisms and algorithms for geospatial Web Processing Service (WPS) generation, geoprocessing and aggregation. The method has the following advantages: 1) it allows separately hosted services and data to work together, avoiding transfers of large volumes of spatial data over the network; 2) it enriches geospatial service resources in the distributed environment by utilizing the agent cloning, migration and service regeneration capabilities of the AaaS, solving issues associated with lack of geospatial services to a certain extent; 3) it enables the migration of services to target nodes to finish a task, strengthening decentralization and enhancing the robustness of geospatial service aggregation; and 4) it helps domain experts and authorities solve interdisciplinary emergency issues using various Agent-generated geospatial services.
A low cost, large scale fabrication method of easily achieving superhydrophobic surfaces with very low contact angle hysteresis was reported in this paper. Microstructures were fabricated by the aggregation of the copolymer of styrene and methyl methacrylate using the phase separation method. Nanostructures were also achieved by the introduction of silica nanoparticles with hexamethyldisilazane modified surfaces into the copolymer. The presence of the nanoparticles significantly reduced the contact angle hysteresis of the superhydrophobic surface. The as prepared superhydrophobic surface had a large water contact angle of 162?3u and very low contact angle hysteresis of 1?7u. Hence, the method can enable the large scale fabrication of superhydrophobic surfaces with very low contact angle hysteresis on different substrates for practical applications.
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