Probing the Metabolic Landscape of Plant Vascular Bundles by Infrared Fingerprint Analysis, Imaging and Mass Spectrometry

Fingerprint analysis is a common technique in forensic and criminal investigations. Similar techniques exist in the field of infrared spectroscopy to identify biomolecules according to their characteristic spectral fingerprint features. These unique markers are located in a wavenumber range from 180...

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Autores principales:	André Guendel, Alexander Hilo, Hardy Rolletschek, Ljudmilla Borisjuk
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	FTIR spectroscopy imaging LC-MS plant tissue extracts chemometric fingerprinting <i>Brassica napus</i> Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/3e0a99bc4f524503a3b7937338dccb6c
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spelling	oai:doaj.org-article:3e0a99bc4f524503a3b7937338dccb6c2021-11-25T16:54:18ZProbing the Metabolic Landscape of Plant Vascular Bundles by Infrared Fingerprint Analysis, Imaging and Mass Spectrometry10.3390/biom111117172218-273Xhttps://doaj.org/article/3e0a99bc4f524503a3b7937338dccb6c2021-11-01T00:00:00Zhttps://www.mdpi.com/2218-273X/11/11/1717https://doaj.org/toc/2218-273XFingerprint analysis is a common technique in forensic and criminal investigations. Similar techniques exist in the field of infrared spectroscopy to identify biomolecules according to their characteristic spectral fingerprint features. These unique markers are located in a wavenumber range from 1800 to 600 cm<sup>−1</sup> in the mid infrared region. Here, a novel bioanalytical concept of correlating these spectral features with corresponding mass spectrometry datasets to unravel metabolic clusters within complex plant tissues was applied. As proof of concept, vascular bundles of oilseed rape (<i>Brassica napus</i>) were investigated, one of the most important and widely cultivated temperate zone oilseed crops. The link between mass spectrometry data and spectral data identified features that co-aligned within both datasets. Regions of origin were then detected by searching for these features in hyperspectral images of plant tissues. This approach, based on co-alignment and co-localization, finally enabled the detection of eight distinct metabolic clusters, reflecting functional and structural arrangements within the vascular bundle. The proposed analytical concept may assist future synergistic research approaches and may lead to biotechnological innovations with regard to crop yield and sustainability.André GuendelAlexander HiloHardy RolletschekLjudmilla BorisjukMDPI AGarticleFTIR spectroscopyimagingLC-MSplant tissue extractschemometric fingerprinting<i>Brassica napus</i>MicrobiologyQR1-502ENBiomolecules, Vol 11, Iss 1717, p 1717 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	FTIR spectroscopy imaging LC-MS plant tissue extracts chemometric fingerprinting <i>Brassica napus</i> Microbiology QR1-502
spellingShingle	FTIR spectroscopy imaging LC-MS plant tissue extracts chemometric fingerprinting <i>Brassica napus</i> Microbiology QR1-502 André Guendel Alexander Hilo Hardy Rolletschek Ljudmilla Borisjuk Probing the Metabolic Landscape of Plant Vascular Bundles by Infrared Fingerprint Analysis, Imaging and Mass Spectrometry
description	Fingerprint analysis is a common technique in forensic and criminal investigations. Similar techniques exist in the field of infrared spectroscopy to identify biomolecules according to their characteristic spectral fingerprint features. These unique markers are located in a wavenumber range from 1800 to 600 cm<sup>−1</sup> in the mid infrared region. Here, a novel bioanalytical concept of correlating these spectral features with corresponding mass spectrometry datasets to unravel metabolic clusters within complex plant tissues was applied. As proof of concept, vascular bundles of oilseed rape (<i>Brassica napus</i>) were investigated, one of the most important and widely cultivated temperate zone oilseed crops. The link between mass spectrometry data and spectral data identified features that co-aligned within both datasets. Regions of origin were then detected by searching for these features in hyperspectral images of plant tissues. This approach, based on co-alignment and co-localization, finally enabled the detection of eight distinct metabolic clusters, reflecting functional and structural arrangements within the vascular bundle. The proposed analytical concept may assist future synergistic research approaches and may lead to biotechnological innovations with regard to crop yield and sustainability.
format	article
author	André Guendel Alexander Hilo Hardy Rolletschek Ljudmilla Borisjuk
author_facet	André Guendel Alexander Hilo Hardy Rolletschek Ljudmilla Borisjuk
author_sort	André Guendel
title	Probing the Metabolic Landscape of Plant Vascular Bundles by Infrared Fingerprint Analysis, Imaging and Mass Spectrometry
title_short	Probing the Metabolic Landscape of Plant Vascular Bundles by Infrared Fingerprint Analysis, Imaging and Mass Spectrometry
title_full	Probing the Metabolic Landscape of Plant Vascular Bundles by Infrared Fingerprint Analysis, Imaging and Mass Spectrometry
title_fullStr	Probing the Metabolic Landscape of Plant Vascular Bundles by Infrared Fingerprint Analysis, Imaging and Mass Spectrometry
title_full_unstemmed	Probing the Metabolic Landscape of Plant Vascular Bundles by Infrared Fingerprint Analysis, Imaging and Mass Spectrometry
title_sort	probing the metabolic landscape of plant vascular bundles by infrared fingerprint analysis, imaging and mass spectrometry
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/3e0a99bc4f524503a3b7937338dccb6c
work_keys_str_mv	AT andreguendel probingthemetaboliclandscapeofplantvascularbundlesbyinfraredfingerprintanalysisimagingandmassspectrometry AT alexanderhilo probingthemetaboliclandscapeofplantvascularbundlesbyinfraredfingerprintanalysisimagingandmassspectrometry AT hardyrolletschek probingthemetaboliclandscapeofplantvascularbundlesbyinfraredfingerprintanalysisimagingandmassspectrometry AT ljudmillaborisjuk probingthemetaboliclandscapeofplantvascularbundlesbyinfraredfingerprintanalysisimagingandmassspectrometry
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Probing the Metabolic Landscape of Plant Vascular Bundles by Infrared Fingerprint Analysis, Imaging and Mass Spectrometry

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