首页> 外文期刊>Journal of biosciences >Functional genomics of tomato: Opportunities and challenges in post-genome NGS era
【24h】

Functional genomics of tomato: Opportunities and challenges in post-genome NGS era

机译:番茄功能基因组学:后基因组NGS时代的机遇与挑战

获取原文
           

摘要

The Tomato Genome Sequencing Project represented a landmark venture in the history of sequencing projects where both Sangera€?s and next-generation sequencing (NGS) technologies were employed, and a highly accurate and one of the best assembled plant genomes along with a draft of the wild relative, Solanum pimpinellifolium, were released in 2012. However, the functional potential of the major portion of this newly generated resource is still undefined. The very first challenge before scientists working on tomato functional biology is to exploit this high-quality reference sequence for tapping of the wealth of genetic variants for improving agronomic traits in cultivated tomatoes. The sequence data generated recently by 150 Tomato Genome Consortium would further uncover the natural alleles present in different tomato genotypes. Therefore, we found it relevant to have a fresh outlook on tomato functional genomics in the context of application of NGS technologies in its post-genome sequencing phase. Herein, we provide an overview how NGS technologies vis-??-vis available reference sequence have assisted each other for their mutual improvement and how their combined use could further facilitate the development of other a€?omicsa€? tools, required to propel the Solanaceae research. Additionally, we highlight the challenges associated with the application of these cutting-edge technologies.
机译:番茄基因组测序项目代表了测序项目历史上的一个里程碑式的冒险,该项目同时采用了桑格拉和下一代测序(NGS)技术,并具有高度准确和最佳组装的植物基因组之一,以及野生亲缘植物Pinpinellifolium于2012年被释放。但是,这种新产生资源的主要部分的功能潜力仍然不确定。从事番茄功能生物学研究的科学家面临的第一个挑战是,利用这种高质量的参考序列来挖掘丰富的遗传变异,以改善栽培番茄的农艺性状。 150个番茄基因组联盟最近产生的序列数据将进一步揭示存在于不同番茄基因型中的天然等位基因。因此,我们发现在NGS技术在其基因组后测序阶段的应用中,对番茄功能基因组学有新的认识是有意义的。在此,我们概述了NGS技术相对于可用参考序列如何相互帮助,以相互促进,以及它们的组合使用如何进一步促进其他声学技术的发展。推动茄科研究的工具。此外,我们重点介绍了与这些尖端技术的应用相关的挑战。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号