Current challenges and future potential of tomato breeding using omics approaches.
Current challenges and future potential of tomato breeding using omics approaches.
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DOI：
10.1270/jsbbs.63.31
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发表时间：
2013-03
期刊：
影响因子：
2.4
通讯作者：
Fukushima A
中科院分区：
文献类型：
--
作者：
Kusano M;Fukushima A
番茄是世界上最重要的蔬菜之一，对番茄的品质和产量提出了更高的要求。为此，代谢组学和转录组学等组学方法不仅被用于基础研究，以了解重要性状与新陈代谢之间的关系，而且还被用于开发下一代番茄育种策略，因为知识的增加改善了番茄的味道和品质、抗逆性和/或潜在的有益健康的代谢物，并与番茄生化组成的改善有关。这样的组学数据可以应用于网络分析，以潜在地揭示番茄植物中未知的细胞调控网络。2012年测序的高质量番茄基因组可能会加快组学策略的应用，包括用于番茄育种的下一代测序。在本文中，我们重点介绍了番茄和其他植物的组学网络分析，特别是基因共表达网络的研究现状。还介绍了组学方法在番茄育种中改良重要经济性状方面的关键应用。
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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