A genomics and multi-platform metabolomics approach to identify new traits of rice quality in traditional and improved varieties
A genomics and multi-platform metabolomics approach to identify new traits of rice quality in traditional and improved varieties
复制标题
DOI：
10.1007/s11306-011-0374-4
复制
发表时间：
2012-10-01
期刊：
影响因子：
3.6
通讯作者：
Fitzgerald, M. A.
中科院分区：
文献类型：
--
作者：
Calingacion, M. N.;Boualaphanh, C.;Fitzgerald, M. A.
我们采用一种新颖的方法，将四个互补的代谢组学和矿物质平台与 1536 个单核苷酸多态性 (SNP) 位点的全基因组基因分型相结合，研究了对老挝人民民主共和国 (PDR) 粮食生产至关重要的三个商业相关糯米品种的生化和遗传多样性程度。在使用不同氮肥制度进行栽培后，使用多元统计方法生成并分析了包括矿物质在内的多个代谢组数据集，以揭示基因型之间的相似程度并识别由多个技术平台支持的歧视性化合物。结果显示，尽管已知产量存在差异，但氮供应对与质量相关的代谢物影响不大。所有平台都揭示了每个品种独特的代谢特征，并且许多有区别的化合物可以被识别为在营养价值和味道或风味方面与消费者相关。对于每个平台，代谢组多样性与品种之间的遗传距离高度相关。这项研究表明，多个代谢组学平台有潜力作为表型分析工具，帮助育种者寻求将关键产量和质量特性结合起来。这更好地使稻米改良计划能够满足不同消费者和农民的需求，并解决稻米消费国的粮食安全问题。
Using a novel approach combining four complementary metabolomic and mineral platforms with genome-wide genotyping at 1536 single nucleotide polymorphism (SNP) loci, we have investigated the extent of biochemical and genetic diversity in three commercially-relevant waxy rice cultivars important to food production in the Lao People's Democratic Republic (PDR). Following cultivation with different nitrogen fertiliser regimes, multiple metabolomic data sets, including minerals, were produced and analysed using multivariate statistical methods to reveal the degree of similarity between the genotypes and to identify discriminatory compounds supported by multiple technology platforms. Results revealed little effect of nitrogen supply on metabolites related to quality, despite known yield differences. All platforms revealed unique metabolic signatures for each variety and many discriminatory compounds could be identified as being relevant to consumers in terms of nutritional value and taste or flavour. For each platform, metabolomic diversity was highly associated with genetic distance between the varieties. This study demonstrates that multiple metabolomic platforms have potential as phenotyping tools to assist breeders in their quest to combine key yield and quality characteristics. This better enables rice improvement programs to meet different consumer and farmer needs, and to address food security in rice-consuming countries.