[Objective] The aim was to construct a plasmid reference molecule (PRM) for detection of transgenic soybean MON89788. [Method] the lectin gene sequence,3'-junction and 5'-junction sequence between host plant D...[Objective] The aim was to construct a plasmid reference molecule (PRM) for detection of transgenic soybean MON89788. [Method] the lectin gene sequence,3'-junction and 5'-junction sequence between host plant DNA integrated DNA of MON89788 soybean were amplified independently,and the three fragments were cloned into the cloning vector pMD18-T in order through molecular manipulation method to construct pMD-LM3M5,the applicability of the constructed novel PRM was tested. [Result] Sequencing confirmation result showed that the PRM was 3 700 bp in length,containing 1 029 bp of recombined DNA fragment. The limits of qualitative detection of the PRM were 10 copies. [Conclusion] The PRM constructed in this study was suitable for the identification of MON89788 event.展开更多
Here reproduction and death toxicity data were selected for 4-nonylphenol based on endocrine disrupting properties of the re- productive system. Assessment factor （AF） and species sensitivity distribution （SSD） cu...Here reproduction and death toxicity data were selected for 4-nonylphenol based on endocrine disrupting properties of the re- productive system. Assessment factor （AF） and species sensitivity distribution （SSD） curve were employed to derive criteria maximum concentration （CMC） and criteria continuous concentration （CCC） of three different 4-nonylphenols for protection of aquatic life. The results showed that the CMC and CCC based on SSD method and death toxicity data for three different 4-nonylphenols （CAS No： 104405, 25154523, 84852163） were 26.7, 13.6, 3.84μg L-1 and 8.86, 2.21, 0.97 μg L-1, respectively. Based on SSD and reproductive toxicity data, the CCC values of different 4-nonylphenols （CAS No： 104405, 25154523） were 1.59 and 1.34μg L-l, respectively. The CCC values obtained by the AF for three different 4-nonylphenol （CAS No： 104405, 25154523, 84852163） were 0.165, 1.03, 0.74 μg L -1 and 0.5, 0.5, 0.1μg L-1, respectively, based on death toxicity data and re- productive toxicity data. The CCC values obtained by AF were all lower than the corresponding criteria values obtained by SSD, and the CCC values based on reproductive toxicity data were less than those based on the death toxicity data. This study provides a useful method for deriving water quality criteria for endocrine disruptors.展开更多
Content-based satellite image registration is a difficult issue in the fields of remote sensing and image processing. The difficulty is more significant in the case of matching multisource remote sensing images which ...Content-based satellite image registration is a difficult issue in the fields of remote sensing and image processing. The difficulty is more significant in the case of matching multisource remote sensing images which suffer from illumination, rotation, and source differences. The scale-invariant feature transform （SIFT） algorithm has been used successfully in satellite image registration problems. Also, many researchers have applied a local SIFT descriptor to improve the image retrieval process. Despite its robustness, this algorithm has some difficulties with the quality and quantity of the extracted local feature points in multisource remote sensing. Furthermore, high dimensionality of the local features extracted by SIFT results in time-consuming computational processes alongside high storage requirements for saving the relevant information, which are important factors in content-based image retrieval （CBIR） applications. In this paper, a novel method is introduced to transform the local SIFT features to global features for multisource remote sensing. The quality and quantity of SIFT local features have been enhanced by applying contrast equalization on images in a pre-processing stage. Considering the local features of each image in the reference database as a separate class, linear discriminant analysis （LDA） is used to transform the local features to global features while reducing di- mensionality of the feature space. This will also significantly reduce the computational time and storage required. Applying the trained kernel on verification data and mapping them showed a successful retrieval rate of 91.67% for test feature points.展开更多
基金Supported by Major Projects of Cultivating New Varieties by Trans-genic Technology (2008ZX08012-001)~~
文摘[Objective] The aim was to construct a plasmid reference molecule (PRM) for detection of transgenic soybean MON89788. [Method] the lectin gene sequence,3'-junction and 5'-junction sequence between host plant DNA integrated DNA of MON89788 soybean were amplified independently,and the three fragments were cloned into the cloning vector pMD18-T in order through molecular manipulation method to construct pMD-LM3M5,the applicability of the constructed novel PRM was tested. [Result] Sequencing confirmation result showed that the PRM was 3 700 bp in length,containing 1 029 bp of recombined DNA fragment. The limits of qualitative detection of the PRM were 10 copies. [Conclusion] The PRM constructed in this study was suitable for the identification of MON89788 event.
基金supported by National Key Basic Research Development Program (Grant No. 2008CB418205)Major Project of Water Pollution Control and Management (Grant No. 2009ZX07528-002-04)+1 种基金Outstanding Young Teacher Research and Special Projects (Grant No. Shu10040)Shanghai Leading Academic Discipline (Grant No. S30109)
文摘Here reproduction and death toxicity data were selected for 4-nonylphenol based on endocrine disrupting properties of the re- productive system. Assessment factor （AF） and species sensitivity distribution （SSD） curve were employed to derive criteria maximum concentration （CMC） and criteria continuous concentration （CCC） of three different 4-nonylphenols for protection of aquatic life. The results showed that the CMC and CCC based on SSD method and death toxicity data for three different 4-nonylphenols （CAS No： 104405, 25154523, 84852163） were 26.7, 13.6, 3.84μg L-1 and 8.86, 2.21, 0.97 μg L-1, respectively. Based on SSD and reproductive toxicity data, the CCC values of different 4-nonylphenols （CAS No： 104405, 25154523） were 1.59 and 1.34μg L-l, respectively. The CCC values obtained by the AF for three different 4-nonylphenol （CAS No： 104405, 25154523, 84852163） were 0.165, 1.03, 0.74 μg L -1 and 0.5, 0.5, 0.1μg L-1, respectively, based on death toxicity data and re- productive toxicity data. The CCC values obtained by AF were all lower than the corresponding criteria values obtained by SSD, and the CCC values based on reproductive toxicity data were less than those based on the death toxicity data. This study provides a useful method for deriving water quality criteria for endocrine disruptors.
文摘Content-based satellite image registration is a difficult issue in the fields of remote sensing and image processing. The difficulty is more significant in the case of matching multisource remote sensing images which suffer from illumination, rotation, and source differences. The scale-invariant feature transform （SIFT） algorithm has been used successfully in satellite image registration problems. Also, many researchers have applied a local SIFT descriptor to improve the image retrieval process. Despite its robustness, this algorithm has some difficulties with the quality and quantity of the extracted local feature points in multisource remote sensing. Furthermore, high dimensionality of the local features extracted by SIFT results in time-consuming computational processes alongside high storage requirements for saving the relevant information, which are important factors in content-based image retrieval （CBIR） applications. In this paper, a novel method is introduced to transform the local SIFT features to global features for multisource remote sensing. The quality and quantity of SIFT local features have been enhanced by applying contrast equalization on images in a pre-processing stage. Considering the local features of each image in the reference database as a separate class, linear discriminant analysis （LDA） is used to transform the local features to global features while reducing di- mensionality of the feature space. This will also significantly reduce the computational time and storage required. Applying the trained kernel on verification data and mapping them showed a successful retrieval rate of 91.67% for test feature points.
