Characterization of GM events by insert knowledge adapted re-sequencing approaches.

ABSTRACT: Detection methods and data from molecular characterization of genetically modified (GM) events are needed by stakeholders of public risk assessors and regulators. Generally, the molecular characteristics of GM events are incomprehensively revealed by current approaches and biased towards detecting transformation vector derived sequences. GM events are classified based on available knowledge of the sequences of vectors and inserts (insert knowledge). Herein we present three insert knowledge-adapted approaches for characterization GM events (TT51-1 and T1c-19 rice as examples) based on paired-end re-sequencing with the advantages of comprehensiveness, accuracy, and automation. The comprehensive molecular characteristics of two rice events were revealed with additional unintended insertions c

SUBMITTER: Yang L 

PROVIDER: S-EPMC3789143 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature