Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany; Center for Plant Systems Biology and Biotechnology, 4000, Plovdiv, Bulgaria.
Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany; Center for Plant Systems Biology and Biotechnology, 4000, Plovdiv, Bulgaria.
Curr Opin Plant Biol. 2023 Jun;73:102335. doi: 10.1016/j.pbi.2022.102335. Epub 2023 Jan 21.
Whilst the study of metabolites can arguably be traced back several hundred years it began in earnest in the 20 century with studies based on single metabolites or simple metabolic pathways. The advent of metabolomics and in particular the adoption of high-resolution mass spectrometry now means we can faithfully annotate and quantify in excess of 1000 plant metabolites. Whilst this is an impressive leap it falls well short of the estimated number of metabolites in the plant kingdom. This, whilst considerable and important insights have been achieved using commonly utilized approaches, there is a need to improve the coverage of the metabolome. Here, we review three largely complementary strategies (i) methods based on using chemical libraries (ii) methods based on molecular networking and (iii) approaches that link metabolomics and genetic variance. It is our contention that using all three approaches in tandem represents the best approach to tackle this challenge.
虽然代谢物的研究可以追溯到几百年前，但它真正开始于 20 世纪，研究基于单一代谢物或简单的代谢途径。代谢组学的出现，特别是高分辨率质谱的采用，意味着我们现在可以准确注释和定量超过 1000 种植物代谢物。虽然这是一个令人印象深刻的飞跃，但仍远低于植物王国中估计的代谢物数量。虽然使用常用方法已经取得了相当大且重要的见解，但仍需要提高代谢组的覆盖率。在这里，我们回顾了三种主要互补的策略：（i）基于化学文库的方法；（ii）基于分子网络的方法；（iii）将代谢组学和遗传方差联系起来的方法。我们认为，这三种方法的结合使用是解决这一挑战的最佳方法。
