我的国家共享了3000份绿色超级稻基因组原始测序数据


发布时间:2015-09-21


  On September 15th, the Chinese Academy of Agricultural Sciences, Alibaba Cloud Computing Co., Ltd., Huazhi Rice Biotechnology Co., Ltd., and Beijing Judao Technology Co., Ltd. jointly launched the “Cloud Rice Project” in Changsha, with 3,000 raw sequencing data of the green super rice genome. It will be officially opened to the world through the Alibaba Cloud platform for free. This is not only conducive to accelerating large-scale discovery of excellent rice genes, breaking the technical bottleneck of rice complex trait molecular improvement, but also accelerating the process of breeding new varieties with high yield, high quality and wide adaptability, and comprehensively improving the level of rice genome research and molecular breeding in China and the world. .   3,000 copies of rice core germplasm genome sequencing data from 89 countries around the world are important project achievements of the “Major Science and Technology Project” of the Ministry of Science and Technology and the Bill Melinda Gates Foundation for the cultivation of green super rice in resource-poor regions in Africa and Asia This is by far the largest plant genome sequencing project in the world. The project aims to cultivate new rice varieties that can be widely applied to the ecological environment of irrigation and rain-fed areas, and have the characteristics of efficient use of nitrogen and phosphorus, disease resistance, insect resistance, high yield, high quality, stress resistance (drought, salt and alkali), etc. China's demonstration and promotion to promote hybrid rice seed production capacity and establish an efficient rice genotype analysis technology platform for rice molecular breeding in sub-Saharan African countries, Asia and Southwest China.   Genome sequencing for rice core germplasm is a huge project. The gene database resource has at least two uses. One is to retrieve data from the gene library and study the distribution, evolution, and function of the target gene. The second is to analyze polymorphic sites between genomes and use them to develop molecular markers and even gene chips for molecular breeding. By sequencing the genome analysis of 3000 core rice germplasm, we can answer the question of how much genetic diversity of rice can be applied and where to obtain the genetic resources needed for biological breeding. The data obtained from the analysis will provide basic information for basic understanding of rice and biological breeding Resources. This research can reveal the genomic diversity of global cultivated rice resources, as well as the genetic characteristics and application value of each rice resource. In addition, bringing 3,000 rice germplasm resources to rice breeding applications will provide materials and new ideas for innovation in rice breeding. The analysis of the data will also fill people's knowledge gap in genomics about rice and even various species.   According to experts, when the rice genome research meets “cloud computing”, it will produce great magic. For example, the deficiencies of the newly-exited “Liangyou 0293” variety is that the resistance to rice blast is relatively poor, and the 3,000-point rice genome study will rely on the “Yunzhi Rice” project. Within three years, not only can you find more There are many disease resistance genes, and it is expected that the resistance of new varieties of rice blast will be improved to above 3, so that relatively comprehensive new rice varieties such as yield and resistance will be cultivated, and the adaptability of super rice varieties will be better and wider.

  9月15日,中国农业科学院、阿里云计算有限公司、华智稻生物科技有限公司和北京聚道科技有限公司在长沙联合启动“云稻计划”,发布3000份绿色超级稻基因组原始测序数据,并将通过阿里云平台向全球免费开放。这不仅有利于加速大规模挖掘优良水稻基因,突破水稻复杂性状分子改良的技术瓶颈,而且将加快培育高产、优质、广适新品种的进程,全面提升我国乃至全球水稻基因组研究和分子育种水平。
  来自全球89个国家3000份水稻核心种质基因组测序数据,是科技部和比尔及梅琳达·盖茨基金会“绿色超级稻”重大科技项目在非洲和亚洲贫困地区的重要成果,是目前为止全球最大的植物基因组测序项目。该项目旨在培育适用于灌溉和雨养地区生态环境,具有氮磷利用效率高、抗病虫、高产、优质、抗逆(耐旱、耐盐碱)等特性水稻新品种,并对中国示范推广,以提升杂交水稻制种能力,并在撒哈拉以南非洲国家、亚洲和中国西南地区建立高效的水稻基因型分析技术平台,服务水稻分子育种。
  水稻核心种质基因组测序是一个巨大的项目,其基因数据库资源至少有两个用途。一是检索基因库中的数据,研究目标基因的分布、进化和功能;二是分析基因组间的多态性位点,利用这些位点开发分子标记甚至基因芯片用于分子育种。通过对3000份水稻核心种质进行基因组测序分析,可以回答水稻有多少遗传多样性可以利用,以及在哪里可以获得生物育种所需的遗传资源等问题。分析获得的数据将为人们基本了解水稻和生物育种提供基础信息资源。这项研究可以揭示全球栽培水稻资源的基因组多样性,以及每个水稻资源的遗传特性和应用价值。此外,将3000份水稻种质资源应用于水稻育种,将为水稻育种创新提供材料和新思路。数据的分析也将填补人们在水稻甚至各种物种基因组方面的知识空白。
  专家表示,水稻基因组研究遇上“云计算”,将会产生巨大的魔力。例如,新推出的“两优0293”品种的不足之处是抗稻瘟病能力相对较弱,“云稻”项目将对3000份水稻基因组进行研究,预计三年内,不仅可以找到更多抗病基因,而且有望将新品种的稻瘟病抗性提高到3级以上,从而培育出产量和抗性都比较全面的水稻新品种,使超级稻品种的适应性更好、更广。