By Hiroshi Ezura, Tohru Ariizumi, Jordi Garcia-Mas, Jocelyn Rose
This quantity summarizes fresh technological advances within the layout and engineering of Solanaceae and Cucurbitaceae vegetation. It starts with contributions at the tomato and melon genome series, databases for Solanaceae and Cucurbitaceae study, DNA markers within the breeding of the 2 households, and mutant assets and TILLING structures in tomato study. next chapters deal with using molecular recommendations for the amendment of significant breeding characteristics, akin to tomato fruit set, progress, ripening, and sugar accumulation, in addition to illness and bug resistance in melons. the quantity closes with chapters on genome enhancing utilizing man made nucleases as a destiny breeding software, and at the improvement of an in silico crop layout procedure. It bargains a priceless source for plant breeders, molecular biologists, and agronomists.
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Additional info for Functional Genomics and Biotechnology in Solanaceae and Cucurbitaceae Crops
It includes cucumber, watermelon, melon, and pumpkin, as well as other food plants. To date, Solanaceae and Cucurbitaceae plants have been employed as model plants. Major databases are being maintained to provide omics information on these model plants. The databases maintained by genome sequencing projects generally provide information on genome and transcriptome data, since both types of data are often required for structural and functional annotation of the genome. In this 34 M. Kobayashi et al.
The current version of gene indices provides omics information on plants such as tomato, Nicotiana benthamiana, tobacco, eggplant, potato, pepper, petunia, and coffee. 3 Sequence Data with Next-Generation Sequencing Technologies Genomic DNA and cDNA sequencing data obtained from next-generation sequencing (NGS) technologies have been rapidly accumulated in the public databases (Wheeler et al. , the NCBI Sequence Read Archive (SRA) (NCBI Resource Coordinators 2014), the ENA of The European Bioinformatics Institute—Part of the European Molecular Biology Laboratory (EMBL-EBI) (Pakseresht et al.
38 M. Kobayashi et al. Information on tomato metabolic pathways is also available from the KaPPAView4 database (Sakurai et al. 2011). In KaPPA-View4, not only a browser for metabolic pathways is available but also an analysis function for custom gene expression data. In addition, in the viewer for the metabolic pathways in KaPPAView4, gene expression data from the MiBASE and TOMATOMICS databases are shown. Using the microarray search function in TOMATOMICS, microarray expression data can be retrieved with hyperlinks to KaPPA-View4.
Functional Genomics and Biotechnology in Solanaceae and Cucurbitaceae Crops by Hiroshi Ezura, Tohru Ariizumi, Jordi Garcia-Mas, Jocelyn Rose