Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2021 Mar;40(2):126-157.
doi: 10.1002/mas.21603. Epub 2019 Sep 9.

Mass spectrometry-based forest tree metabolomics

Ana Margarida Rodrigues  1 , Célia Miguel  2   3 , Inês Chaves  2   3 , Carla António  1
Affiliations
Review

Mass spectrometry-based forest tree metabolomics

Ana Margarida Rodrigues et al. Mass Spectrom Rev. 2021 Mar.

Abstract

Research in forest tree species has advanced slowly when compared with other agricultural crops and model organisms, mainly due to the long-life cycles, large genome sizes, and lack of genomic tools. Additionally, trees are complex matrices, and the presence of interferents (e.g., oleoresins and cellulose) challenges the analysis of tree tissues with mass spectrometry (MS)-based analytical platforms. In this review, advances in MS-based forest tree metabolomics are discussed. Given their economic and ecological significance, particular focus is given to Pinus, Quercus, and Eucalyptus forest tree species to better understand their metabolite responses to abiotic and biotic stresses in the current climate change scenario. Furthermore, MS-based metabolomics technologies produce large and complex datasets that require expertize to adequately manage, process, analyze, and store the data in dedicated repositories. To ensure that the full potential of forest tree metabolomics data are translated into new knowledge, these data should comply with the FAIR principles (i.e., Findable, Accessible, Interoperable, and Re-usable). It is essential that adequate standards are implemented to annotate metadata from forest tree metabolomics studies as is already required by many science and governmental agencies and some major scientific publishers. © 2019 John Wiley & Sons Ltd. Mass Spec Rev 40:126-157, 2021.

Keywords: FAIR data standards; GC-MS; LC-MS; climate change; omics technologies; pinewood nematode.

PubMed Disclaimer

References

REFERENCES
    1. Abraham PE, Garcia BJ, Gunter LE, Jawdy SS, Engle N, Yang X, Jacobson DA, Hettich RL, Tuskan GA, Tschaplinski TJ. 2017. Quantitative proteome profile of water deficit stress responses in eastern cottonwood (Populus deltoides) leaves. PLoS ONE 13(2): e0190019.
    1. Abril N, Gion JM, Kerner R, Müller-Starck G, Cerrillo RMN, Plomion C, Renaut J, Valledor L, Jorrin-Novo JV. 2011. Proteomics research on forest trees, the most recalcitrant and orphan plant species. Phytochemistry 72: 1219-1242.
    1. Acharya BR, Assmann SM. 2009. Hormone interactions in stomatal function. Plant Mol Biol 69: 451-462.
    1. Ahuja I, de Vos RC, Bones AM, Hall RD. 2010. Plant molecular stress responses face climate change. Trends Plant Sci 15(12): 664-674.
    1. Aizat WM, Ibrahim S, Rahnamaie-Tajadod R, Loke K-K, Goh H-H, Noor NM. 2018. Proteomics (SWATH-MS) informed by transcriptomics approach of tropical herb Persicaria minor leaves upon methyl jasmonate elicitation. Peer J 6: e5525.

Publication types

LinkOut - more resources