Characterization of unknown genetic modifications using high throughput sequencing and computational subtraction Export

@article{citeulike:5919665, abstract = {BACKGROUND:When generating a genetically modified organism (GMO), the primary goal is to give a target organism one or several novel traits by using biotechnology techniques. A GMO will differ from its parental strain in that its pool of transcripts will be altered. Currently, there are no methods that are reliably able to determine if an organism has been genetically altered if the nature of the modification is unknown. RESULTS:We show that the concept of computational subtraction can be used to identify transgenic cDNA sequences from genetically modified plants. Our datasets include 454-type sequences from a transgenic line of Arabidopsis thaliana and published EST datasets from commercially relevant species (rice and papaya).CONCLUSION:We believe that computational subtraction represents a powerful new strategy for determining if an organism has been genetically modified as well as to define the nature of the modification. Fewer assumptions have to be made compared to methods currently in use and this is an advantage particularly when working with unknown GMOs.}, author = {Tengs, Torstein and Zhang, Haibo and Jensen, Arne H. and Bohlin, Jon and Butenko, Melinka and Kristoffersen, Anja B. and Hilde Gunn Opsahl Sorteberg and Berdal, Knut}, citeulike-article-id = {5919665}, citeulike-linkout-0 = {http://dx.doi.org/10.1186/1472-6750-9-87}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/19814792}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=19814792}, day = {08}, doi = {10.1186/1472-6750-9-87}, issn = {1472-6750}, journal = {BMC Biotechnology}, keywords = {arabidopsis, biodefense, gmo, next\_generation}, month = {October}, number = {1}, pages = {87+}, posted-at = {2009-10-12 10:04:16}, priority = {2}, title = {Characterization of unknown genetic modifications using high throughput sequencing and computational subtraction}, url = {http://dx.doi.org/10.1186/1472-6750-9-87}, volume = {9}, year = {2009} }

TY - JOUR ID - citeulike:5919665 L3 - citeulike-article-id:5919665 N2 - BACKGROUND:When generating a genetically modified organism (GMO), the primary goal is to give a target organism one or several novel traits by using biotechnology techniques. A GMO will differ from its parental strain in that its pool of transcripts will be altered. Currently, there are no methods that are reliably able to determine if an organism has been genetically altered if the nature of the modification is unknown. RESULTS:We show that the concept of computational subtraction can be used to identify transgenic cDNA sequences from genetically modified plants. Our datasets include 454-type sequences from a transgenic line of Arabidopsis thaliana and published EST datasets from commercially relevant species (rice and papaya).CONCLUSION:We believe that computational subtraction represents a powerful new strategy for determining if an organism has been genetically modified as well as to define the nature of the modification. Fewer assumptions have to be made compared to methods currently in use and this is an advantage particularly when working with unknown GMOs. IS - 1 JF - BMC Biotechnology SN - 1472-6750 TI - Characterization of unknown genetic modifications using high throughput sequencing and computational subtraction VL - 9 SP - 87 KW - arabidopsis KW - biodefense KW - gmo KW - next_generation AU - Tengs, Torstein AU - Zhang, Haibo AU - Jensen, Arne AU - Bohlin, Jon AU - Butenko, Melinka AU - Kristoffersen, Anja AU - Hilde Gunn Opsahl Sorteberg AU - Berdal, Knut PY - 2009/10/08/ UR - http://dx.doi.org/10.1186/1472-6750-9-87 ER -