Department of Plant Biochemistry, Albrecht-von-Haller-Institute for Plant Sciences, Georg-August-University, Justus-von-Liebig-Weg 11, 37077, Göttingen, Germany.
Department of Plant Biochemistry, Göttingen Center for Molecular Biosciences (GZMB), Georg-August-University, Justus-von-Liebig-Weg 11, 37077, Göttingen, Germany.
Plant J. 2015 Nov;84(3):621-33. doi: 10.1111/tpj.13013. Epub 2015 Oct 8.
Within the lipidome of plants a few bulk molecular species hamper the detection of the rest, which are present at relatively low levels. In addition, low-abundance species are often masked by numerous isobaric interferences, such as those caused by isoelemental species and isotopologues. This scenario not only means that minor species are underrepresented, but also leads to potential misidentifications and limits the structural information gathered by lipidomics approaches. In order to overcome these limitations we have developed a multiplexed liquid chromatography-mass spectrometry lipidomics platform able to achieve an enhanced coverage of plant lipidomes. The platform is based on a single extraction step followed by a series of ultra-performance liquid chromatography separations. Post-column flow is then directed to both a triple quadrupole analyzer for targeted profiling and a time-of-flight analyzer for accurate mass analysis. As a proof of concept, plants were subjected to cold or drought, which are known to trigger widespread remodeling events in plant cell membranes. Analysis of the leaf lipidome yielded 393 molecular species within 23 different lipid classes. This enhanced coverage allowed us to identify lipid molecular species and even classes that are altered upon stress, allowing hypotheses on role of glycosylinositolphosphoceramides (GIPC), steryl glycosides (SG) and acylated steryl glycosides (ASG) in drought stress to be addressed and confirming the findings from numerous previous studies with a single, wide-ranging lipidomics approach. This extended our knowledge on membrane remodeling during the drought response, integrating sphingolipids and sterol lipids into the current glycerolipid-based model.
在植物的脂质组中,少数大量的分子物种会阻碍其余相对低丰度的脂质的检测。此外,低丰度的物种经常被大量的同量异位干扰所掩盖,如同素异位物种和同位素标记物造成的干扰。这种情况不仅意味着次要物种代表性不足,还会导致潜在的误识别,并限制脂质组学方法收集的结构信息。为了克服这些限制,我们开发了一种多路液相色谱-质谱脂质组学平台,能够增强植物脂质组的覆盖度。该平台基于单个提取步骤,随后进行一系列超高效液相色谱分离。然后将柱后流引导至三重四极杆分析仪进行靶向分析,以及飞行时间分析仪进行精确质量分析。作为概念验证,我们对植物进行了冷或干旱处理,这已知会引发植物细胞膜的广泛重塑事件。对叶片脂质组的分析得到了 23 种不同脂质类别的 393 种分子物种。这种增强的覆盖度使我们能够识别脂质分子物种,甚至在应激时改变的脂质类,从而可以提出关于糖基肌醇磷脂酰基神经酰胺(GIPC)、甾基糖苷(SG)和酰化甾基糖苷(ASG)在干旱胁迫中的作用的假设,并通过单一的广泛脂质组学方法证实了许多先前研究的结果。这扩展了我们对干旱响应过程中膜重塑的认识,将鞘脂和甾醇脂质纳入当前基于甘油脂质的模型。