Title |
OnPLS integration of transcriptomic, proteomic and metabolomic data shows multi-level oxidative stress responses in the cambium of transgenic hipI- superoxide dismutase Populus plants
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Published in |
BMC Genomics, December 2013
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DOI | 10.1186/1471-2164-14-893 |
Pubmed ID | |
Authors |
Vaibhav Srivastava, Ogonna Obudulu, Joakim Bygdell, Tommy Löfstedt, Patrik Rydén, Robert Nilsson, Maria Ahnlund, Annika Johansson, Pär Jonsson, Eva Freyhult, Johanna Qvarnström, Jan Karlsson, Michael Melzer, Thomas Moritz, Johan Trygg, Torgeir R Hvidsten, Gunnar Wingsle |
Abstract |
Reactive oxygen species (ROS) are involved in the regulation of diverse physiological processes in plants, including various biotic and abiotic stress responses. Thus, oxidative stress tolerance mechanisms in plants are complex, and diverse responses at multiple levels need to be characterized in order to understand them. Here we present system responses to oxidative stress in Populus by integrating data from analyses of the cambial region of wild-type controls and plants expressing high-isoelectric-point superoxide dismutase (hipI-SOD) transcripts in antisense orientation showing a higher production of superoxide. The cambium, a thin cell layer, generates cells that differentiate to form either phloem or xylem and is hypothesized to be a major reason for phenotypic perturbations in the transgenic plants. Data from multiple platforms including transcriptomics (microarray analysis), proteomics (UPLC/QTOF-MS), and metabolomics (GC-TOF/MS, UPLC/MS, and UHPLC-LTQ/MS) were integrated using the most recent development of orthogonal projections to latent structures called OnPLS. OnPLS is a symmetrical multi-block method that does not depend on the order of analysis when more than two blocks are analysed. Significantly affected genes, proteins and metabolites were then visualized in painted pathway diagrams. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Sweden | 2 | 2% |
Spain | 2 | 2% |
Germany | 1 | <1% |
South Africa | 1 | <1% |
Finland | 1 | <1% |
Israel | 1 | <1% |
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Unknown | 110 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 29 | 24% |
Researcher | 29 | 24% |
Other | 11 | 9% |
Student > Master | 8 | 7% |
Student > Bachelor | 6 | 5% |
Other | 21 | 18% |
Unknown | 16 | 13% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 50 | 42% |
Biochemistry, Genetics and Molecular Biology | 10 | 8% |
Chemistry | 10 | 8% |
Computer Science | 8 | 7% |
Engineering | 5 | 4% |
Other | 14 | 12% |
Unknown | 23 | 19% |