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High‐throughput microanalysis of large lignocellulosic sample sets by pyrolysis‐gas chromatography/mass spectrometry
High‐throughput analytical techniques to assess the chemistry of lignocellulosic plant material are crucial to plant cell‐wall research. We have established an analytical platform for this purpose and demonstrated its usefulness with two applications. The system is based on analytical pyrolysis, cou...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4738464/ https://www.ncbi.nlm.nih.gov/pubmed/26477543 http://dx.doi.org/10.1111/ppl.12397 |
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author | Gerber, Lorenz Öhman, David Kumar, Manoj Ranocha, Philippe Goffner, Deborah Sundberg, Björn |
author_facet | Gerber, Lorenz Öhman, David Kumar, Manoj Ranocha, Philippe Goffner, Deborah Sundberg, Björn |
author_sort | Gerber, Lorenz |
collection | PubMed |
description | High‐throughput analytical techniques to assess the chemistry of lignocellulosic plant material are crucial to plant cell‐wall research. We have established an analytical platform for this purpose and demonstrated its usefulness with two applications. The system is based on analytical pyrolysis, coupled to gas chromatography/mass spectrometry – a technique particularly suited for analysis of lignocellulose. Automated multivariate‐based data‐processing methods are used to obtain results within a few hours after analysis, with an experimental batch of 500 analyzed samples. The usefulness of multivariate sample discrimination methods and hierarchical clustering of samples is demonstrated. We have analyzed an Arabidopsis mutant collection consisting of 300 samples representing 31 genotypes. The mutant collection is presented through cluster analysis, based on chemotypic difference, with respect to wild type. Further, we have analyzed 500 thin sections from five biological replicate trees to create a spatial highly resolved profile of the proportions of syringyl‐, guaiacyl‐ and p‐hydroxyphenyl lignin across phloem, developing and mature wood in aspen. The combination of biologically easy to interpret information, the low demand of sample amount and the flexibility in sample types amenable to analysis makes this technique a valuable extension to the range of established high‐throughput biomaterial analytical platforms. |
format | Online Article Text |
id | pubmed-4738464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Blackwell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-47384642016-02-12 High‐throughput microanalysis of large lignocellulosic sample sets by pyrolysis‐gas chromatography/mass spectrometry Gerber, Lorenz Öhman, David Kumar, Manoj Ranocha, Philippe Goffner, Deborah Sundberg, Björn Physiol Plant Technical Focus High‐throughput analytical techniques to assess the chemistry of lignocellulosic plant material are crucial to plant cell‐wall research. We have established an analytical platform for this purpose and demonstrated its usefulness with two applications. The system is based on analytical pyrolysis, coupled to gas chromatography/mass spectrometry – a technique particularly suited for analysis of lignocellulose. Automated multivariate‐based data‐processing methods are used to obtain results within a few hours after analysis, with an experimental batch of 500 analyzed samples. The usefulness of multivariate sample discrimination methods and hierarchical clustering of samples is demonstrated. We have analyzed an Arabidopsis mutant collection consisting of 300 samples representing 31 genotypes. The mutant collection is presented through cluster analysis, based on chemotypic difference, with respect to wild type. Further, we have analyzed 500 thin sections from five biological replicate trees to create a spatial highly resolved profile of the proportions of syringyl‐, guaiacyl‐ and p‐hydroxyphenyl lignin across phloem, developing and mature wood in aspen. The combination of biologically easy to interpret information, the low demand of sample amount and the flexibility in sample types amenable to analysis makes this technique a valuable extension to the range of established high‐throughput biomaterial analytical platforms. Blackwell Publishing Ltd 2015-11-26 2016-02 /pmc/articles/PMC4738464/ /pubmed/26477543 http://dx.doi.org/10.1111/ppl.12397 Text en © 2015 The Authors. Physiologia Plantarum published by John Wiley & Sons Ltd on behalf of Scandinavian Plant Physiology Society. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://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 | Technical Focus Gerber, Lorenz Öhman, David Kumar, Manoj Ranocha, Philippe Goffner, Deborah Sundberg, Björn High‐throughput microanalysis of large lignocellulosic sample sets by pyrolysis‐gas chromatography/mass spectrometry |
title | High‐throughput microanalysis of large lignocellulosic sample sets by pyrolysis‐gas chromatography/mass spectrometry |
title_full | High‐throughput microanalysis of large lignocellulosic sample sets by pyrolysis‐gas chromatography/mass spectrometry |
title_fullStr | High‐throughput microanalysis of large lignocellulosic sample sets by pyrolysis‐gas chromatography/mass spectrometry |
title_full_unstemmed | High‐throughput microanalysis of large lignocellulosic sample sets by pyrolysis‐gas chromatography/mass spectrometry |
title_short | High‐throughput microanalysis of large lignocellulosic sample sets by pyrolysis‐gas chromatography/mass spectrometry |
title_sort | high‐throughput microanalysis of large lignocellulosic sample sets by pyrolysis‐gas chromatography/mass spectrometry |
topic | Technical Focus |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4738464/ https://www.ncbi.nlm.nih.gov/pubmed/26477543 http://dx.doi.org/10.1111/ppl.12397 |
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