ArticleBreeding science2013
Current challenges and future potential of tomato breeding using omics approaches.
Article in Breeding science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Application of Exogenous Melatonin Improves Tomato Fruit Quality by Promoting the Accumulation of Primary and Secondary Metabolites.Foods (Basel, Switzerland) · 2022Article
- miRNAs involved in transcriptome remodeling during pollen development and heat stress response in Solanum lycopersicum.Scientific reports · 2020Article
- The manipulation of gene expression and the biosynthesis of Vitamin C, E and folate in light-and dark-germination of sweet corn seeds.Scientific reports · 2017Article
- SesameFG: an integrated database for the functional genomics of sesame.Scientific reports · 2017Article
- Exploiting the Genetic Diversity of Maize Using a Combined Metabolomic, Enzyme Activity Profiling, and Metabolic Modeling Approach to Link Leaf Physiology to Kernel Yield.The Plant cell · 2017Article
- Integrated bioinformatics to decipher the ascorbic acid metabolic network in tomato.Plant molecular biology · 2016Article
- Integrated network analysis and effective tools in plant systems biology.Frontiers in plant science · 2014Review
- From randomly to inevitable: Accelerating tomato breeding by comprehensive tools and information.Breeding science · 2013Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
As tomatoes are one of the most important vegetables in the world, improvements in the quality and yield of tomato are strongly required. For this purpose, omics approaches such as metabolomics and transcriptomics are used not only for basic research to understand relationships between important traits and metabolism but also for the development of next generation breeding strategies of tomato plants, because an increase in the knowledge improves the taste and quality, stress resistance and/or potentially health-beneficial metabolites and is connected to improvements in the biochemical composition of tomatoes. Such omics data can be applied to network analyses to potentially reveal unknown cellular regulatory networks in tomato plants. The high-quality tomato genome that was sequenced in 2012 will likely accelerate the application of omics strategies, including next generation sequencing for tomato breeding. In this review, we highlight the current studies of omics network analyses of tomatoes and other plant species, in particular, a gene coexpression network. Key applications of omics approaches are also presented as case examples to improve economically important traits for tomato breeding.
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