We report a highly efficient protocol for the Agrobacterium-mediated genetic transformation of a miniature dwarf tomato (Lycopersicon esculentum), Micro-Tom, a model cultivar for tomato functional genomics. Cotyledon explants of tomato inoculated with Agrobacterium tumefaciens (Rhizobium radiobacter) C58C1Rif(R) harboring the binary vector pIG121Hm generated a mass of chimeric non-transgenic and transgenic adventitious buds. Repeated shoot elongation from the mass of adventitious buds on selection media resulted in the production of multiple transgenic plants that originated from independent transformation events. The transformation efficiency exceeded 40% of the explants. This protocol could become a powerful tool for functional genomics in tomato.

A large amount of gamma-aminobutyric acid (GABA) was found to accumulate in tomato (Solanum lycopersicum) fruits before the breaker stage. Shortly thereafter, GABA was rapidly catabolized after the breaker stage. We screened the GABA-rich tomato cultivar 'DG03-9' which did not show rapid GABA catabolism after the breaker stage. Although GABA hyperaccumulation and rapid catabolism in fruits is well known, the mechanisms are not clearly understood. In order to clarify these mechanisms, we performed comparative studies of 'Micro-Tom' and 'DG03-9' fruits for the analysis of gene expression levels, protein levels and enzymatic activity levels of GABA biosynthesis- and catabolism-related enzymes. During GABA accumulation, we found positive correlations among GABA contents and expression levels of SlGAD2 and SlGAD3. Both of these genes encode glutamate decarboxylase (GAD) which is a key enzyme of GABA biosynthesis. During GABA catabolism, we found a strong correlation between GABA contents and enzyme activity of alpha-ketoglutarate-dependent GABA transaminase (GABA-TK). The contents of glutamate and aspartate, which are synthesized from GABA and glutamate, respectively, increased with elevation of GABA-TK enzymatic activity. GABA-TK is the major GABA transaminase form in animals and appears to be a minor form in plants. In 'DG03-9' fruits, GAD enzymatic activity was prolonged until the ripening stage, and GABA-TK activity was significantly low. Taken together, our results suggest that GAD and GABA-TK play crucial roles in GABA accumulation and catabolism, respectively, in tomato fruits.

SUMMARY Nuclear‐encoded small subunit ribosomal RNA gene (185rDNA) sequences were determined for Chlamydomonas moewusii Gerloff and five chlorococcalean algae (Chlorococcum hypnosporum Starr; Chlorococcum oleofaciens Trainor et Bold; Chlorococcum sp.; Tetracystis aeria Brown et Bold; Protosiphon botryoides (Kützingl Klebs). All these algae are characterized by a clockwise CCW) flagellar apparatus. Phylogenetic trees were constructed from sequences from these algae together with 20 green algae. All algae with a CW flagellar apparatus form a monophyletic clade (CW group). Three principal clades can be recognized in the CW group, although no morphological character supports monophyly of any of these three clades. The 185rDNA trees clearly demonstrate the non‐monophyly of the Chlamydomonadales and Chlorococcales, suggesting that vegetative morphology does not reflect phylogenetic relationships in the CW group. The paraphyly or polyphyly of the genus Chlamydomonas and Chlorococcum are also revealed. Present analysis suggests that the presence or absence of a zoospore's cell wall and the multinucleate condition have limited taxonomic values at higher taxonomic ranks.

Analysis of Odf2 deletion mutants reveals regions important for the formation of basal body transition fibers and centriole distal appendages and distinct regions required for basal feet and subdistal appendages.

As metabolomics can provide a biochemical snapshot of an organism's phenotype it is a promising approach for charting the unintended effects of genetic modification. A critical obstacle for this application is the inherently limited metabolomic coverage of any single analytical platform. We propose using multiple analytical platforms for the direct acquisition of an interpretable data set of estimable chemical diversity. As an example, we report an application of our multi-platform approach that assesses the substantial equivalence of tomatoes over-expressing the taste-modifying protein miraculin. In combination, the chosen platforms detected compounds that represent 86% of the estimated chemical diversity of the metabolites listed in the LycoCyc database. Following a proof-of-safety approach, we show that % had an acceptable range of variation while simultaneously indicating a reproducible transformation-related metabolic signature. We conclude that multi-platform metabolomics is an approach that is both sensitive and robust and that it constitutes a good starting point for characterizing genetically modified organisms.

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