The 33 kDa Protein of the Oxygen-Evolving Complex: a Multi-Gene Family in Tomato

A cDNA was isolated by chance from tomato which had a high similarity to a cDNA clone from potato known to code for the 33 kDa protein of the oxygen-evolving complex [van Spanje et al. (1991) Plant Mol. Biol. 17: 157]. The sequence of a previously described partial cDNA clone from tomato [Ko et al. (1990) Plant Mol. Biol. 14: 217] which has also a high similarity but is not identical to the sequence described here indicates that tomato contains at least two genes coding for 33 kDa proteins per haploid genome. This conclusion is supported by Southern blot analysis. The tissue specific expression of the corresponding genes is describe

The 33 kDa Protein of the Oxygen-Evolving Complex: a Multi-Gene Family in Tomato

ISSN:0032-0781ISSN:1471-905

Growth Stage –Based Phenotypic Analysis of Arabidopsis: A Model for High Throughput Functional Genomics in Plants

With the completion of the Arabidopsis genome sequencing project, the next major challenge is the large-scale determination of gene function. As a model organism for agricultural biotechnology, Arabidopsis presents the opportunity to provide key insights into the way that gene function can affect commercial crop production. In an attempt to aid in the rapid discovery of gene function, we have established a high throughput phenotypic analysis process based on a series of defined growth stages that serve both as developmental landmarks and as triggers for the collection of morphological data. The data collection process has been divided into two complementary platforms to ensure the capture of detailed data describing Arabidopsis growth and development over the entire life of the plant. The first platform characterizes early seedling growth on vertical plates for a period of 2 weeks. The second platform consists of an extensive set of measurements from plants grown on soil for a period of ∼2 months. When combined with parallel processes for metabolic and gene expression profiling, these platforms constitute a core technology in the high throughput determination of gene function. We present here analyses of the development of wild-type Columbia (Col-0) plants and selected mutants to illustrate a framework methodology that can be used to identify and interpret phenotypic differences in plants resulting from genetic variation and/or environmental stress