Issue 8, 2022

Tracing the migration and transformation of metabolites in xylem during wood growth by mass spectrometry imaging

Abstract

Metabolites in the xylem experience several migration and transformation processes during tree growth. Their composition and distributions can reflect the environment that the wood lived through. Herein, a matrix-assisted laser desorption/ionization mass spectrometry imaging method was developed to investigate the migration and transformation of metabolites in the xylem during heartwood formation and after mechanical injury. The thickness of the wood slice, the type of matrix and its manner of deposition were optimized to improve ionization response and spatial resolution. The mass difference correlation (MDC) data processing method was proposed to improve the efficiency of compound identification, in which the compounds were classified by their molecular weight. The compound species was identified by results calculated using MDC and the experimental results from MS/MS. The directly identified metabolites, whose type and number were found to be quite different between sapwood and heartwood, demonstrated the transformation and migration of metabolites from sapwood to heartwood. Additionally, two kinds of resins produced from different positions were identified by MSI simultaneously, even though their heterogeneous distribution was not visible in optical images. The origin and type of the two resins were deduced from the identified compounds and their molecular distribution. This work provides a method to directly reveal metabolite migration and transformation mechanisms in xylem during wood growth.

Graphical abstract: Tracing the migration and transformation of metabolites in xylem during wood growth by mass spectrometry imaging

Supplementary files

Article information

Article type
Paper
Submitted
13 Dec 2021
Accepted
03 Mar 2022
First published
04 Mar 2022

Analyst, 2022,147, 1551-1558

Tracing the migration and transformation of metabolites in xylem during wood growth by mass spectrometry imaging

W. Hu, H. Nie, Y. Wang, N. Li, S. Di, Q. Pan, J. Liu and Y. Han, Analyst, 2022, 147, 1551 DOI: 10.1039/D1AN02251B

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