An alternative pathway to β-carotene formation in plant chromoplasts discovered by map-based cloning of Beta and old-gold color mutations in tomato

Carotenoid pigments in plants fulfill indispensable functions in photosynthesis. Carotenoids that accumulate as secondary metabolites in chromoplasts provide distinct coloration to flowers and fruits. In this work we investigated the genetic mechanisms that regulate accumulation of carotenoids as secondary metabolites during ripening of tomato fruits. We analyzed two mutations that affect fruit pigmentation in tomato (Lycopersicon esculentum): Beta (B), a single dominant gene that increases β-carotene in the fruit, and old-gold (og), a recessive mutation that abolishes β-carotene and increases lycopene. Using a map-based cloning approach we cloned the genes B and og. Molecular analysis revealed that B encodes a novel type of lycopene β-cyclase, an enzyme that converts lycopene to β-carotene. The amino acid sequence of B is similar to capsanthin-capsorubin synthase, an enzyme that produces red xanthophylls in fruits of pepper (Capsicum annum). Our results prove that β-carotene is synthesized de novo during tomato fruit development by the B lycopene cyclase. In wild-type tomatoes B is expressed at low levels during the breaker stage of ripening, whereas in the Beta mutant its transcription is dramatically increased. Null mutations in the gene B are responsible for the phenotype in og, indicating that og is an allele of B. These results confirm that developmentally regulated transcription is the major mechanism that governs lycopene accumulation in ripening fruits. The cloned B genes can be used in various genetic manipulations toward altering pigmentation and enhancing nutritional value of plant foods.

STACK: Sequence Tag Alignment and Consensus Knowledgebase

STACK is a tool for detection and visualisation of expressed transcript variation in the context of developmental and pathological states. The datasystem organises and reconstructs human transcripts from available public data in the context of expression state. The expression state of a transcript can include developmental state, pathological association, site of expression and isoform of expressed transcript. STACK consensus transcripts are reconstructed from clusters that capture and reflect the growing evidence of transcript diversity. The comprehensive capture of transcript variants is achieved by the use of a novel clustering approach that is tolerant of sub-sequence diversity and does not rely on pairwise alignment. This is in contrast with other gene indexing projects. STACK is generated at least four times a year and represents the exhaustive processing of all publicly available human EST data extracted from GenBank. This processed information can be explored through 15 tissue-specific categories, a disease-related category and a whole-body index and is accessible via WWW at http://www.sanbi.ac.za/Dbases.html. STACK represents a broadly applicable resource, as it is the only reconstructed transcript database for which the tools for its generation are also broadly available (http://www.sanbi.ac.za/CODES).

A novel method for simultaneous high resolution identification of HLA-A, HLA-B, and HLA-Cw alleles.

We describe a novel high resolution DNA based typing approach for HLA class I alleles, which identifies the recombinational motifs present in exons 2 and 3 of the HLA class I genes. Unique identification patterns for 201 known HLA-A, HLA-B, and HLA-Cw alleles were generated by the use of only 40 probes, which were targeted at these common motifs. The unambiguous identification of the alleles was achieved by the development of a new and powerful allelic separation technique that allows isolation of single alleles after amplification. To validate the method, we have used locus-specific primers to amplify exons 2 and 3 of HLA-A, HLA-B, and HLA-Cw loci from 22 heterozygous and 41 homozygous cell lines. After amplification, the allelic fragments from each locus were separated, blotted, and hybridized with the 40 probes. In all cases, the allelic products could be separated and 81 different class I alleles, 33 HLA-A, 30 HLA-B, and 18 HLA-Cw, were identified according to the predicted probe hybridization patterns.

Multiplex genotype determination at a large number of gene loci.

To facilitate large-scale genotype analysis, an efficient PCR-based multiplex approach has been developed. For simultaneously amplifying the target sequences at a large number of genetic loci, locus-specific primers containing 5' universal tails are used. Attaching the universal tails to the target sequences in the initial PCR steps allows replacement of all specific primers with a pair of primers identical to the universal tails and converts the multiplex amplification into "uniplex." Simultaneous amplification of 26 genetic loci with this approach is described. The multiplex amplification can be coupled with genotype determination. By incorporating a single-base mismatch between a primer and the template into the target sequences, a polymorphic site can be converted into a desirable restriction fragment length polymorphism when it is necessary. In this way, the allelic PCR products for the polymorphic loci can be discriminated by gel electrophoresis after restriction enzyme digestion. In this study, 32 loci were typed in such a multiplex way.

The disease-resistance gene Pto and the fenthion-sensitivity gene fen encode closely related functional protein kinases.

Resistance to bacterial speck in tomato is governed by a gene-for-gene interaction in which a single resistance locus (Pto) in the plant responds to the expression of a specific avirulence gene (avrPto) in the pathogen. Disease susceptibility results if either Pto or avrPto are lacking from the corresponding organisms. Leaves of tomato cultivars that contain the Pto locus also exhibit a hypersensitive-like response upon exposure to an organophosphorous insecticide, fenthion. Recently, the Pto gene was isolated by a map-based cloning approach and was shown to be a member of a clustered multigene family with similarity to various protein-serine/threonine kinases. Another member of this family, termed Fen, was found to confer sensitivity to fenthion. The Pto protein shares 80% identity (87% similarity) with Fen. Here, Pto and Fen are shown to be functional protein kinases that probably participate in the same signal transduction pathway.