Literature DB >> 31471668

Xenobiotics metabolization in Salix alba leaves uncovered by mass spectrometry imaging.

Claire Villette1, Loïc Maurer1,2, Adrien Wanko2, Dimitri Heintz3.   

Abstract

INTRODUCTION: Micropollutants are increasingly monitored as their presence in the environment is rising due to human activities, and they are potential threats to living organisms.
OBJECTIVES: This study aimed at understanding the role of plants in xenobiotics removal from polluted environments by following xenobiotics metabolism in leaf tissues.
METHODS: 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).
RESULTS: 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.
CONCLUSION: 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.

Entities:  

Keywords:  Mass spectrometry imaging (MSI); Salix alba; Sludge; Tertiary treatment wetland; Water; Xenobiotics

Mesh:

Substances:

Year:  2019        PMID: 31471668     DOI: 10.1007/s11306-019-1572-8

Source DB:  PubMed          Journal:  Metabolomics        ISSN: 1573-3882            Impact factor:   4.290


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