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Characterizing natural variability of lignin abundance and composition in fine roots across temperate trees: a comparison of analytical methods
Lignin is an important root chemical component that is widely used in biogeochemical models to predict root decomposition. Across ecological studies, lignin abundance has been characterized using both proximate and lignin‐specific methods, without much understanding of their comparability. This unce...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9828118/ https://www.ncbi.nlm.nih.gov/pubmed/36168143 http://dx.doi.org/10.1111/nph.18515 |
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author | Xia, Mengxue Valverde‐Barrantes, Oscar J. Suseela, Vidya Blackwood, Christopher B. Tharayil, Nishanth |
author_facet | Xia, Mengxue Valverde‐Barrantes, Oscar J. Suseela, Vidya Blackwood, Christopher B. Tharayil, Nishanth |
author_sort | Xia, Mengxue |
collection | PubMed |
description | Lignin is an important root chemical component that is widely used in biogeochemical models to predict root decomposition. Across ecological studies, lignin abundance has been characterized using both proximate and lignin‐specific methods, without much understanding of their comparability. This uncertainty in estimating lignin limits our ability to comprehend the mechanisms regulating root decomposition and to integrate lignin data for large‐scale syntheses. We compared five methods of estimating lignin abundance and composition in fine roots across 34 phylogenetically diverse tree species. We also assessed the feasibility of high‐throughput techniques for fast‐screening of root lignin. Although acid‐insoluble fraction (AIF) has been used to infer root lignin and decomposition, AIF‐defined lignin content was disconnected from the lignin abundance estimated by techniques that specifically measure lignin‐derived monomers. While lignin‐specific techniques indicated lignin contents of 2–10% (w/w) in roots, AIF‐defined lignin contents were c. 5–10‐fold higher, and their interspecific variation was found to be largely unrelated to that determined using lignin‐specific techniques. High‐throughput pyrolysis–gas chromatography–mass spectrometry, when combined with quantitative modeling, accurately predicted lignin abundance and composition, highlighting its feasibility for quicker assessment of lignin in roots. We demonstrate that AIF should be interpreted separately from lignin in fine roots as its abundance is unrelated to that of lignin polymers. This study provides the basis for informed decision‐making with respect to lignin methodology in ecology. |
format | Online Article Text |
id | pubmed-9828118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98281182023-01-10 Characterizing natural variability of lignin abundance and composition in fine roots across temperate trees: a comparison of analytical methods Xia, Mengxue Valverde‐Barrantes, Oscar J. Suseela, Vidya Blackwood, Christopher B. Tharayil, Nishanth New Phytol Research Lignin is an important root chemical component that is widely used in biogeochemical models to predict root decomposition. Across ecological studies, lignin abundance has been characterized using both proximate and lignin‐specific methods, without much understanding of their comparability. This uncertainty in estimating lignin limits our ability to comprehend the mechanisms regulating root decomposition and to integrate lignin data for large‐scale syntheses. We compared five methods of estimating lignin abundance and composition in fine roots across 34 phylogenetically diverse tree species. We also assessed the feasibility of high‐throughput techniques for fast‐screening of root lignin. Although acid‐insoluble fraction (AIF) has been used to infer root lignin and decomposition, AIF‐defined lignin content was disconnected from the lignin abundance estimated by techniques that specifically measure lignin‐derived monomers. While lignin‐specific techniques indicated lignin contents of 2–10% (w/w) in roots, AIF‐defined lignin contents were c. 5–10‐fold higher, and their interspecific variation was found to be largely unrelated to that determined using lignin‐specific techniques. High‐throughput pyrolysis–gas chromatography–mass spectrometry, when combined with quantitative modeling, accurately predicted lignin abundance and composition, highlighting its feasibility for quicker assessment of lignin in roots. We demonstrate that AIF should be interpreted separately from lignin in fine roots as its abundance is unrelated to that of lignin polymers. This study provides the basis for informed decision‐making with respect to lignin methodology in ecology. John Wiley and Sons Inc. 2022-10-26 2022-12 /pmc/articles/PMC9828118/ /pubmed/36168143 http://dx.doi.org/10.1111/nph.18515 Text en © 2022 The Authors. New Phytologist © 2022 New Phytologist Foundation. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Xia, Mengxue Valverde‐Barrantes, Oscar J. Suseela, Vidya Blackwood, Christopher B. Tharayil, Nishanth Characterizing natural variability of lignin abundance and composition in fine roots across temperate trees: a comparison of analytical methods |
title | Characterizing natural variability of lignin abundance and composition in fine roots across temperate trees: a comparison of analytical methods |
title_full | Characterizing natural variability of lignin abundance and composition in fine roots across temperate trees: a comparison of analytical methods |
title_fullStr | Characterizing natural variability of lignin abundance and composition in fine roots across temperate trees: a comparison of analytical methods |
title_full_unstemmed | Characterizing natural variability of lignin abundance and composition in fine roots across temperate trees: a comparison of analytical methods |
title_short | Characterizing natural variability of lignin abundance and composition in fine roots across temperate trees: a comparison of analytical methods |
title_sort | characterizing natural variability of lignin abundance and composition in fine roots across temperate trees: a comparison of analytical methods |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9828118/ https://www.ncbi.nlm.nih.gov/pubmed/36168143 http://dx.doi.org/10.1111/nph.18515 |
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