Shanghai Ruifeng Agro biotechnology Co.

Shanghai, China

Shanghai Ruifeng Agro biotechnology Co.

Shanghai, China
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Qu G.,Shanghai JiaoTong University | Quan S.,Shanghai JiaoTong University | Quan S.,Shanghai Ruifeng Agro biotechnology Co. | Mondol P.,Shanghai JiaoTong University | And 4 more authors.
Journal of Integrative Plant Biology | Year: 2014

Rice (Oryza sativa L.) MADS3 transcription factor regulates the homeostasis of reactive oxygen species (ROS) during late anther development, and one MADS3 mutant, mads3-4, has defective anther walls, aborted microspores and complete male sterility. Here, we report the untargeted metabolomic analysis of both wild type and mads3-4 mature anthers. Mutation of MADS3 led to an unbalanced redox status and caused oxidative stress that damages lipid, protein, and DNA. To cope with oxidative stress in mads3-4 anthers, soluble sugars were mobilized and carbohydrate metabolism was shifted to amino acid and nucleic acid metabolism to provide substrates for the biosynthesis of antioxidant proteins and the repair of DNA. Mutation of MADS3 also affected other aspects of rice anther development such as secondary metabolites associated with cuticle, cell wall, and auxin metabolism. Many of the discovered metabolic changes in mads3-4 anthers were corroborated with changes of expression levels of corresponding metabolic pathway genes. Altogether, this comparative metabolomic analysis indicated that MADS3 gene affects rice anther development far beyond the ROS homeostasis regulation. © 2014 Institute of Botany, Chinese Academy of Sciences.

Rao J.,Shanghai JiaoTong University | Rao J.,Jiangxi Provincial Cancer Hospital | Yang L.,Shanghai JiaoTong University | Guo J.,Shanghai JiaoTong University | And 8 more authors.
Plant Cell Reports | Year: 2016

Key message: Non-targeted metabolomics analysis revealed only intended metabolic changes in transgenic maize over-expressing theAspergillus niger phyA2. Abstract: Genetically modified (GM) crops account for a large proportion of modern agriculture worldwide, raising increasingly the public concerns of safety. Generally, according to substantial equivalence principle, if a GM crop is demonstrated to be equivalently safe to its conventional species, it is supposed to be safe. In this study, taking the advantage of an established non-target metabolomic profiling platform based on the combination of UPLC-MS/MS with GC–MS, we compared the mature seed metabolic changes in transgenic maize over-expressing the Aspergillus niger phyA2 with its non-transgenic counterpart and other 14 conventional maize lines. In total, levels of nine out of identified 210 metabolites were significantly changed in transgenic maize as compared with its non-transgenic counterpart, and the number of significantly altered metabolites was reduced to only four when the natural variations were taken into consideration. Notably, those four metabolites were all associated with targeted engineering pathway. Our results indicated that although both intended and non-intended metabolic changes occurred in the mature seeds of this GM maize event, only intended metabolic pathway was found to be out of the range of the natural metabolic variation in the metabolome of the transgenic maize. Therefore, only when natural metabolic variation was taken into account, could non-targeted metabolomics provide reliable objective compositional substantial equivalence analysis on GM crops. © 2015, Springer-Verlag Berlin Heidelberg.

Rao J.,Shanghai JiaoTong University | Cheng F.,Shanghai JiaoTong University | Hu C.,Shanghai JiaoTong University | Quan S.,Shanghai JiaoTong University | And 11 more authors.
Metabolomics | Year: 2014

Metabolites in maize kernels are associated not only with nutritional value but also physiological properties such as maturation, desiccation, and germination. However, comprehensive information concerning the metabolome of maize kernels is limited. In this study, we identified 210 metabolites in mature kernels of 14 representative maize lines using a non-targeted metabolomic profiling approach. Further statistical analysis revealed that 75 metabolites were significantly variable among those tested lines, and certain metabolites out of the detected 210 metabolites played critical roles in distinguishing one line from another. Additionally, metabolite-metabolite correlation analysis dissected key regulatory elements or pathways involved in metabolism of lipids, amino acids and carbohydrates. Furthermore, an integrated metabolic map constructed with transcriptomic, proteomic and metabolic data uncovered characteristic regulatory mechanisms of maize kernel metabolism. Altogether, this work provides new insights into the maize kernel metabolome that would be useful for metabolic engineering and/or molecular breeding to improve maize kernel quality and yield. © 2014 Springer Science+Business Media New York.

Rao J.,Shanghai JiaoTong University | Rao J.,Jiangxi Cancer Hospital | Yang L.,Shanghai JiaoTong University | Guo J.,Shanghai JiaoTong University | And 7 more authors.
European Food Research and Technology | Year: 2016

The transgenic maize (Zea mays L.) line BVLA430101 overexpressing Aspergillus niger phyA2 was approved in 2009 to be planted in a given area in China. However, the flanking sequences and event-specific qualitative/quantitative PCR detection methods for this transgenic event have not been reported. In this study, we characterized the molecular features of the exogenous integration in BVLA430101 and developed event-specific qualitative/quantitative PCR detection methods. Using genome walking, thermal asymmetric interlaced polymerase chain reaction (TAIL-PCR), and conventional PCR assays, we revealed that one intact copy of phytase construct was integrated in the maize genome chromosome 3, which is followed by a fragment of the transformation vector containing partial sequence of pH2b promoter. The defined 3′ flanking sequence was 1644 bp in length, based on which the event-specific qualitative and quantitative PCR assays for BVLA430101 were developed. The limit of detection (LOD) of the qualitative PCR assay was 10 haploid genome copies, and the limits of detection and quantification (LOD and LOQ) of the quantitative PCR were 10 and 10 copies of maize haploid genome, respectively. In-house validation of the developed event-specific quantitative PCR method with three practical maize samples showed that the quantified biases between the test and true values ranged between 2.60 and 7.52 %. These results indicated that the developed event-specific qualitative and quantitative PCR methods based on the newly characterized 3′ flanking sequences can be used successfully for the identification and quantification of transgenic maize BVLA430101 and its derived products. © 2016 Springer-Verlag Berlin Heidelberg

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