Wilkinson Paul A, Winfield Mark O, Barker Gary L A, Tyrrell Simon, Bian Xingdong, Allen Alexandra M, Burridge Amanda, Coghill Jane A, Waterfall Christy, Caccamo Mario, Davey Robert P, Edwards Keith J
School of Biological Sciences, University of Bristol, Bristol, BS8 1UG, UK.
The Genome Analysis Centre (TGAC), Norwich Research Park, Norwich, UK.
BMC Bioinformatics. 2016 Jun 24;17:256. doi: 10.1186/s12859-016-1139-x.
The increase in human populations around the world has put pressure on resources, and as a consequence food security has become an important challenge for the 21st century. Wheat (Triticum aestivum) is one of the most important crops in human and livestock diets, and the development of wheat varieties that produce higher yields, combined with increased resistance to pests and resilience to changes in climate, has meant that wheat breeding has become an important focus of scientific research. In an attempt to facilitate these improvements in wheat, plant breeders have employed molecular tools to help them identify genes for important agronomic traits that can be bred into new varieties. Modern molecular techniques have ensured that the rapid and inexpensive characterisation of SNP markers and their validation with modern genotyping methods has produced a valuable resource that can be used in marker assisted selection. CerealsDB was created as a means of quickly disseminating this information to breeders and researchers around the globe.
CerealsDB version 3.0 is an online resource that contains a wide range of genomic datasets for wheat that will assist plant breeders and scientists to select the most appropriate markers for use in marker assisted selection. CerealsDB includes a database which currently contains in excess of a million putative varietal SNPs, of which several hundreds of thousands have been experimentally validated. In addition, CerealsDB also contains new data on functional SNPs predicted to have a major effect on protein function and we have constructed a web service to encourage data integration and high-throughput programmatic access.
CerealsDB is an open access website that hosts information on SNPs that are considered useful for both plant breeders and research scientists. The recent inclusion of web services designed to federate genomic data resources allows the information on CerealsDB to be more fully integrated with the WheatIS network and other biological databases.
全球人口增长给资源带来了压力，因此粮食安全已成为21世纪的一项重大挑战。小麦（普通小麦）是人类和牲畜饮食中最重要的作物之一，培育产量更高、抗虫害能力增强且对气候变化具有更强适应力的小麦品种，这意味着小麦育种已成为科学研究的一个重要焦点。为了促进小麦的这些改良，植物育种者采用了分子工具来帮助他们识别可培育到新品种中的重要农艺性状基因。现代分子技术确保了单核苷酸多态性（SNP）标记的快速且低成本表征以及用现代基因分型方法对其进行验证，从而产生了一种可用于标记辅助选择的宝贵资源。创建谷物数据库（CerealsDB）就是为了将这些信息快速传播给全球的育种者和研究人员。
谷物数据库3.0版是一个在线资源，包含大量小麦基因组数据集，将帮助植物育种者和科学家选择最适合用于标记辅助选择的标记。谷物数据库包括一个数据库，目前该数据库包含超过100万个推定的品种SNP，其中数十万已通过实验验证。此外，谷物数据库还包含有关预测对蛋白质功能有重大影响的功能性SNP的新数据，并且我们构建了一个网络服务以鼓励数据整合和高通量编程访问。
谷物数据库是一个开放获取的网站，托管着被认为对植物育种者和研究科学家都有用的SNP信息。最近纳入的旨在联合基因组数据资源的网络服务使谷物数据库上的信息能够更充分地与小麦信息系统（WheatIS）网络和其他生物数据库整合。
