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从图谱绘制到测序、测序后及更广泛的领域。

From mapping to sequencing, post-sequencing and beyond.

作者信息

Sasaki Takuji, Matsumoto Takashi, Antonio Baltazar A, Nagamura Yoshiaki

机构信息

National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan.

出版信息

Plant Cell Physiol. 2005 Jan;46(1):3-13. doi: 10.1093/pcp/pci503. Epub 2005 Jan 19.

Abstract

The Rice Genome Research Program (RGP) in Japan has been collaborating with the international community in elucidating a complete high-quality sequence of the rice genome. As the pioneer in large-scale analysis of the rice genome, the RGP has successfully established the fundamental tools for genome research such as a genetic map, a yeast artificial chromosome (YAC)-based physical map, a transcript map and a phage P1 artificial chromosome (PAC)/bacterial artificial chromosome (BAC) sequence-ready physical map, which serve as common resources for genome sequencing. Among the 12 rice chromosomes, the RGP is in charge of sequencing six chromosomes covering 52% of the 390 Mb total length of the genome. The contribution of the RGP to the realization of decoding the rice genome sequence with high accuracy and deciphering the genetic information in the genome will have a great impact in understanding the biology of the rice plant that provides a major food source for almost half of the world's population. A high-quality draft sequence (phase 2) was completed in December 2002. Since then, much of the finished quality sequence (phase 3) has become available in public databases. With the completion of sequencing in December 2004, it is expected that the genome sequence would facilitate innovative research in functional and applied genomics. A map-based genome sequence is indispensable for further improvement of current rice varieties and for development of novel varieties carrying agronomically important traits such as high yield potential and tolerance to both biotic and abiotic stresses. In addition to genome sequencing, various related projects have been initiated to generate valuable resources, which could serve as indispensable tools in clarifying the structure and function of the rice genome. These resources have been made available to the scientific community through the Rice Genome Resource Center (RGRC) of the National Institute of Agrobiological Sciences (NIAS) to enable rapid progress in research that will lead to thorough understanding of the rice plant. As the next trend in rice genome research will focus on determining the function of about 40,000-50,000 genes predicted in the genome as well as applying various genomics tools in rice breeding, an unlimited access to rice DNA and seed stocks will provide a broad community of scientists with the necessary materials for formulating new concepts, developing innovative research and making new scientific discoveries in rice genomics.

摘要

日本的水稻基因组研究计划(RGP)一直在与国际社会合作,以阐明水稻基因组完整的高质量序列。作为水稻基因组大规模分析的先驱,RGP成功建立了基因组研究的基础工具,如遗传图谱、基于酵母人工染色体(YAC)的物理图谱、转录图谱以及噬菌体P1人工染色体(PAC)/细菌人工染色体(BAC)序列就绪物理图谱,这些图谱作为基因组测序的通用资源。在12条水稻染色体中,RGP负责对覆盖基因组总长390 Mb中52%的6条染色体进行测序。RGP对实现高精度解码水稻基因组序列以及解读基因组中的遗传信息所做出的贡献,将对理解为世界近一半人口提供主要食物来源的水稻植株生物学特性产生重大影响。2002年12月完成了高质量草图序列(第二阶段)。从那时起,许多完成的高质量序列(第三阶段)已在公共数据库中可用。随着2004年12月测序工作的完成,预计基因组序列将促进功能基因组学和应用基因组学方面的创新性研究。基于图谱的基因组序列对于进一步改良现有水稻品种以及培育具有高产潜力和对生物及非生物胁迫耐受性等重要农艺性状的新品种不可或缺。除了基因组测序,还启动了各种相关项目以生成有价值的资源,这些资源可作为阐明水稻基因组结构和功能的不可或缺的工具。这些资源已通过日本农业生物资源研究所(NIAS)的水稻基因组资源中心(RGRC)提供给科学界,以推动在导致对水稻植株全面理解的研究方面取得快速进展。由于水稻基因组研究的下一个趋势将集中在确定基因组中预测的约40000 - 50000个基因的功能以及在水稻育种中应用各种基因组学工具,不受限制地获取水稻DNA和种子库将为广大科学家群体提供制定新概念、开展创新性研究以及在水稻基因组学中做出新科学发现所需的材料。

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