Assessing metabolomic and chemical diversity of a soybean lineage representing 35 years of breeding
Assessing metabolomic and chemical diversity of a soybean lineage representing 35 years of breeding
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DOI：
10.1007/s11306-014-0702-6
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发表时间：
2015-04-01
期刊：
影响因子：
3.6
通讯作者：
Harrigan, George G.
中科院分区：
文献类型：
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作者：
Kusano, Miyako;Baxter, Ivan;Harrigan, George G.
有关作物基因型和表型代谢物关联的信息对于性状发育以及粮食安全具有重要价值。这里介绍的独特研究评估了大豆谱系中种子代谢组和离子组的多样性，代表了类似于 35 年的育种（1972-2008 年）和增加产量的潜力。选定的品种包括六个传统耐草甘膦品系和三个转基因（GM）耐草甘膦品系。利用毛细管电泳 (CE)-飞行时间质谱 (TOF-MS)、气相色谱 (GC)-TOF-MS 和液相色谱 (LC)-四极杆 (q)-TOFMS 的代谢组学方法总共测量了 732 个带注释的峰。通过电感耦合等离子体 (ICP)-MS 的离子组学分析了 20 种矿物元素。种子数据的正交偏最小二乘判别分析 (OPLS-DA) 成功地将两个田地的较新的高产大豆与早期的低产种质区分开来。这一结果反映了基因指纹数据，表明新大豆和旧大豆之间存在类似的区别。相关分析还揭示了产量数据与特定代谢物之间的关联。传统品系和转基因品系之间没有明显的代谢差异。总体而言，对旧大豆品种和新大豆品种之间代谢和遗传差异的观察为品种发育对生化变异的影响提供了新颖且重要的信息。组学在食品和饲料安全评估中的拟议应用需要考虑到转基因不是代谢变异的主要来源，并且作物性状的发展必然与生化变异相关。
Information on crop genotype- and phenotype-metabolite associations can be of value to trait development as well as to food security and safety. The unique study presented here assessed seed metabolomic and ionomic diversity in a soybean lineage representing similar to 35 years of breeding (launch years 1972-2008) and increasing yield potential. Selected varieties included six conventional and three genetically modified (GM) glyphosate-tolerant lines. A metabolomics approach utilizing capillary electrophoresis (CE)-time-of-flight-mass spectrometry (TOF-MS), gas chromatography (GC)-TOF-MS and liquid chromatography (LC)-quadrupole (q)-TOFMS resulted in measurement of a total of 732 annotated peaks. Ionomics through inductively-coupled plasma (ICP)-MS profiled twenty mineral elements. Orthogonal partial least squares-discriminant analysis (OPLS-DA) of the seed data successfully differentiated newer higher-yielding soybean from earlier lower-yielding accessions at both field sites. This result reflected genetic fingerprinting data that demonstrated a similar distinction between the newer and older soybean. Correlation analysis also revealed associations between yield data and specific metabolites. There were no clear metabolic differences between the conventional and GM lines. Overall, observations of metabolic and genetic differences between older and newer soybean varieties provided novel and significant information on the impact of varietal development on biochemical variability. Proposed applications of omics in food and feed safety assessments will need to consider that GM is not a major source of metabolite variability and that trait development in crops will, of necessity, be associated with biochemical variation.