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Editorial [Hot topic: Plant Genomics in the 21st Century (Guest Editor: Chhandak Basu)]

机译:社论[热门话题:21世纪的植物基因组学(来宾编辑:Chhandak Basu)]

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摘要

It is my great pleasure as a Guest Editor of the journal Current Genomics to present you with a ‘hot topic issue’ on plant genomics. The complete sequence of genome of model plant Arabidopsis thaliana was a boost for plant genomics research. Following the path of Arabidopsis sequencing, hundreds of plant genomes are being sequenced and we have ocean of sequence data. It is a challenge for us to interpret the functions of thousands of genes. Surely, computational biology will be a great help in predicting functions of plant genes. Publicly available web based sequence annotation softwares are another resource to annotate and characterize plant genes. It is a challenge and responsibility for plant biologists to provide food, fiber and fuel for this exponentially increasing population. Sequences of model plants and crop plants will help us to understand the genome architectures of the plants and will help us to identify economically important genes. It is a well-established fact that a great alternative for whole genome sequencing is development of an EST (Expressed Sequence Tags) database. The ESTs will give us a snapshot of whole genome with a small percentage of cost of whole genome sequencing. The next generation sequencing including 454 sequencing (Roche Applied Sciences), Solexa system (Illumina) and SOliD system (Applied Biosystems) are also great resources for plant genomicists. These technologies will generate enormous amount of sequencing data, which will be beneficial to understand the basic physiology of plants.
机译:作为“当前基因组学”期刊的客座编辑,我很荣幸为您介绍有关植物基因组学的“热点话题”。模型植物拟南芥基因组的完整基因组序列为植物基因组学研究提供了推动力。沿着拟南芥测序的路径,正在对数百种植物基因组进行测序,我们拥有大量的序列数据。解释数千种基因的功能对我们来说是一个挑战。当然,计算生物学将对预测植物基因的功能大有帮助。公开可用的基于Web的序列注释软件是注释和表征植物基因的另一资源。植物生物学家为成倍增加的人口提供食物,纤维和燃料是挑战和责任。模型植物和农作物的序列将有助于我们了解植物的基因组结构,并有助于我们识别具有经济意义的基因。众所周知的事实是,全基因组测序的一个很好的选择是开发EST(表达序列标签)数据库。 EST将为我们提供整个基因组的快照,而整个基因组测序的成本只占一小部分。包括454测序(Roche Applied Sciences),Solexa系统(Illumina)和SOliD系统(Applied Biosystems)在内的下一代测序也是植物基因组学家的重要资源。这些技术将产生大量的测序数据,这将有助于理解植物的基本生理学。

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  • 来源
    《Current Genomics》 |2010年第1期|p.1-1|共1页
  • 作者

    Chhandak Basu;

  • 作者单位

    University of Northern Colorado Greeley, Colorado 80639 USA.;

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  • 正文语种 eng
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