Plant Imaging and Mass Spectrometry (PIMS), Institut de biologie moléculaire des plantes, CNRS, Université de Strasbourg, 12 rue du Général Zimmer, 67084, Strasbourg, France.
Département Mécanique, ICube Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie, UNISTRA/CNRS, ENGEES/INSA, 2 rue Boussingault, 67000, Strasbourg, France.
Metabolomics. 2019 Aug 30;15(9):122. doi: 10.1007/s11306-019-1572-8.
Micropollutants are increasingly monitored as their presence in the environment is rising due to human activities, and they are potential threats to living organisms.
This study aimed at understanding the role of plants in xenobiotics removal from polluted environments by following xenobiotics metabolism in leaf tissues.
Different classes of micropollutants were investigated using liquid chromatography (LC) coupled to quadrupole-time of flight (Q-TOF) high resolution mass spectrometry (HRMS). The tissue localization of xenobiotics in the leaves of a spontaneous (not planted by humans) Salix alba growing near the water flux was further investigated using matrix-assisted laser desorption ionization (MALDI) mass spectrometry imaging (MSI).
The LC-Q-TOF analysis revealed the distribution of micropollutants in three different compartments of a tertiary treatment wetland. When further investing the metabolic profile of S. alba leaves using MSI, different distribution patterns were observed in specific leaf tissues. Xenobiotic metabolites were predicted and could also be tentatively identified in S. alba leaves, shedding new light on the metabolic processes at play in leaves to manage xenobiotics uptake from a polluted environment.
Using complementary metabolomics approaches, this study performed a large-scale exploration of micropollutants spreading in the environment at the exit of a tertiary treatment wetland. The use of MSI coupled with the prediction of xenobiotic metabolites yielded novel insights into plant metabolism during chronical exposure to low doses of a mixture of micropollutants.
由于人类活动的影响，环境中微污染物的含量不断增加，对生物构成了潜在威胁，因此它们的监测越来越受到重视。
本研究旨在通过研究叶片组织中外源化合物的代谢情况，了解植物在受污染环境中外源化合物去除中的作用。
使用液相色谱（LC）-四极杆飞行时间（Q-TOF）高分辨率质谱（HRMS）联用技术对不同类别的微污染物进行了研究。利用基质辅助激光解吸电离（MALDI）质谱成像（MSI）进一步研究了在水流附近自然生长的（非人工种植）白柳叶片中外源化合物在组织中的定位。
LC-Q-TOF 分析揭示了微污染物在三级处理湿地三个不同隔室中的分布。当使用 MSI 进一步研究白柳叶片的代谢谱时，在特定的叶片组织中观察到不同的分布模式。预测并初步鉴定了白柳叶片中的外源化合物代谢物，为叶片中管理外源化合物对污染环境的吸收所涉及的代谢过程提供了新的认识。
本研究采用互补代谢组学方法，对三级处理湿地出口处环境中微污染物的扩散进行了大规模探索。将 MSI 与外源化合物代谢物的预测相结合，为植物在低剂量混合微污染物慢性暴露下的代谢提供了新的见解。
