Literature DB >> 25981545

Taxonomic relationships of pollens from matrix-assisted laser desorption/ionization time-of-flight mass spectrometry data using multivariate statistics.

Stephan Seifert1,2, Steffen M Weidner2, Ulrich Panne1,2, Janina Kneipp1,2.   

Abstract

RATIONALE: Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) has been suggested as a promising tool for the investigation of pollen, but the usefulness of this approach for classification and identification of pollen species has to be proven by an application to samples of varying taxonomic relations.
METHOD: MALDI-MS in combination with hierarchical cluster analysis (HCA) and principal component analysis (PCA) was used to delineate taxonomic relations between plants based on pollen biochemistry. To assess the robustness of the approach, pollen of 74 species of the plant orders Fagales and Coniferales were probed.
RESULTS: Discrimination at the levels of plant order and genus were achieved using the whole spectral range. In many cases, different species of the same genus could be distinguished. The sources of the spectral/chemical differences at the genus level can be understood using PCA. Specifically, typical mass regions for exact genus detection were identified.
CONCLUSIONS: Our results indicate that the chemical information represented by MALDI-TOFMS data is useful for reconstructing taxonomic relationships and is complementary to other chemical information on pollen from other spectroscopic data.
Copyright © 2015 John Wiley & Sons, Ltd.

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Mesh:

Year:  2015        PMID: 25981545     DOI: 10.1002/rcm.7207

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  5 in total

1.  Multivariate Analysis of MALDI Imaging Mass Spectrometry Data of Mixtures of Single Pollen Grains.

Authors:  Franziska Lauer; Sabrina Diehn; Stephan Seifert; Janina Kneipp; Volker Sauerland; Cesar Barahona; Steffen Weidner
Journal:  J Am Soc Mass Spectrom       Date:  2018-07-24       Impact factor: 3.109

2.  Simplifying the Preparation of Pollen Grains for MALDI-TOF MS Classification.

Authors:  Franziska Lauer; Stephan Seifert; Janina Kneipp; Steffen M Weidner
Journal:  Int J Mol Sci       Date:  2017-03-03       Impact factor: 5.923

3.  Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) shows adaptation of grass pollen composition.

Authors:  Sabrina Diehn; Boris Zimmermann; Murat Bağcıoğlu; Stephan Seifert; Achim Kohler; Mikael Ohlson; Siri Fjellheim; Steffen Weidner; Janina Kneipp
Journal:  Sci Rep       Date:  2018-11-08       Impact factor: 4.379

4.  Chemical characterization and identification of Pinaceae pollen by infrared microspectroscopy.

Authors:  Boris Zimmermann
Journal:  Planta       Date:  2017-09-14       Impact factor: 4.116

5.  Combining Chemical Information From Grass Pollen in Multimodal Characterization.

Authors:  Sabrina Diehn; Boris Zimmermann; Valeria Tafintseva; Stephan Seifert; Murat Bağcıoğlu; Mikael Ohlson; Steffen Weidner; Siri Fjellheim; Achim Kohler; Janina Kneipp
Journal:  Front Plant Sci       Date:  2020-01-31       Impact factor: 5.753

  5 in total

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