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Published on October 5, 2007; 10.1104/pp.107.105213


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Received July 6, 2007
Accepted September 27, 2007

Development and application of novel constructs to score C:G-to-T:A transitions and homologous recombination in Arabidopsis thaliana

Gert Van der Auwera , Joke Baute , Melanie Bauwens , Ingrid Peck , Denis Piette , Michael Pycke , Pieter Asselman , and Anna Depicker *

Department of Plant Systems Biology, Flanders Institute for Biotechnology, and Department of Molecular Genetics, Ghent University, 9052 Gent, Belgium

* Corresponding author; email: ann.depicker{at}psb.ugent.be.

We report on the development of five missense mutants and one recombination substrate of the {beta}-glucuronidase (GUS)-encoding gene of Escherichia coli, and their use for detecting mutation and recombination events in transgenic Arabidopsis thaliana plants by reactivation of the GUS activity in clonal sectors. The missense mutants were designed to find C:G-to-T:A transitions in a symmetrical sequence context, and are in that respect complementary to previously published GUS point mutants. Small peptide tags (hemagglutinin tag and Strep tag II) and green fluorescent protein were translationally fused to GUS, which offers possibilities to check for mutant GUS production levels. We show that spontaneous mutation and recombination events took place. Mutagenic treatment of the plants with ethyl methanesulfonate and ultraviolet-C increased the number of mutations, validating the use of these constructs to measure mutation and recombination frequencies in plants exposed to biotic or abiotic stress conditions, or in response to different genetic backgrounds. Plants were also subjected to heavy metals, methyl jasmonate, salicylic acid, and heat stress, for none of which an effect could be seen. Together with an ethyl methanesulfonate mutation induction level much higher than previously described, the need is illustrated for many available scoring systems in parallel. As all GUS missense mutants were cloned in a bacterial expression vector, they can also be used to score mutation events in E. coli.







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