School of Biological Sciences, University of Bristol, Bristol, BS8 1UG, UK.
BMC Bioinformatics. 2012 Sep 3;13:219. doi: 10.1186/1471-2105-13-219.
Food security is an issue that has come under renewed scrutiny amidst concerns that substantial yield increases in cereal crops are required to feed the world's booming population. Wheat is of fundamental importance in this regard being one of the three most important crops for both human consumption and livestock feed; however, increase in crop yields have not kept pace with the demands of a growing world population. In order to address this issue, plant breeders require new molecular tools to help them identify genes for important agronomic traits that can be introduced into elite varieties. Studies of the genome using next-generation sequencing enable the identification of molecular markers such as single nucleotide polymorphisms that may be used by breeders to identify and follow genes when breeding new varieties. The development and application of next-generation sequencing technologies has made the characterisation of SNP markers in wheat relatively cheap and straightforward. There is a growing need for the widespread dissemination of this information to plant breeders.
CerealsDB is an online resource containing a range of genomic datasets for wheat (Triticum aestivum) that will assist plant breeders and scientists to select the most appropriate markers for marker assisted selection. CerealsDB includes a database which currently contains in excess of 100,000 putative varietal SNPs, of which several thousand have been experimentally validated. In addition, CerealsDB contains databases for DArT markers and EST sequences, and links to a draft genome sequence for the wheat variety Chinese Spring.
CerealsDB is an open access website that is rapidly becoming an invaluable resource within the wheat research and plant breeding communities.
在人们担心需要大幅提高谷物作物产量以养活世界上不断增长的人口的情况下，粮食安全问题再次受到关注。小麦在这方面至关重要，它是人类消费和牲畜饲料的三种最重要作物之一；然而，作物产量的增长并没有跟上不断增长的世界人口的需求。为了解决这个问题，植物育种家需要新的分子工具来帮助他们识别对重要农艺性状的基因，这些基因可以被引入到优良品种中。使用下一代测序技术研究基因组可以识别出分子标记，如单核苷酸多态性，育种家可以利用这些标记来识别和跟踪新培育品种中的基因。下一代测序技术的发展和应用使得小麦中 SNP 标记的特征变得相对便宜和简单。广泛传播这些信息给植物育种家的需求日益增长。
CerealsDB 是一个在线资源，包含了一系列与小麦（Triticum aestivum）基因组相关的数据，将帮助植物育种家和科学家选择最合适的标记进行标记辅助选择。CerealsDB 包括一个数据库，其中包含超过 100,000 个推测的品种 SNP，其中几千个已经经过实验验证。此外，CerealsDB 还包含 DArT 标记和 EST 序列数据库，并链接到小麦品种中国春的基因组草图序列。
CerealsDB 是一个开放获取的网站，它正在迅速成为小麦研究和植物育种社区中非常宝贵的资源。
