2020
DOI: 10.1016/j.jaap.2020.104796
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Classification of lignocellulosic matrix of spines in Cactaceae by Py-GC/MS combined with omic tools and multivariate analysis: A chemotaxonomic approach

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Cited by 7 publications
(30 citation statements)
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“…Tools derived from the "omics" field, such as multivariate analysis or other cheminformatic data processing techniques, can prove useful in deconvoluting this information and recognizing the unique "fingerprint" of various components in complex mixtures such as lignin. One recent study used Py-GC-MS in tandem with multivariate statistical methods to classify 15 species of Cactaceae based on the composition of the lignocellulosic matrix in their spines (Reyes-Rivera et al, 2020). After preparing and milling the spine samples, the researchers performed Py-GC-MS experiments according to their previously published method (Reyes-Rivera et al, 2018).…”
Section: Modifications and Improvementsmentioning
confidence: 99%
“…Tools derived from the "omics" field, such as multivariate analysis or other cheminformatic data processing techniques, can prove useful in deconvoluting this information and recognizing the unique "fingerprint" of various components in complex mixtures such as lignin. One recent study used Py-GC-MS in tandem with multivariate statistical methods to classify 15 species of Cactaceae based on the composition of the lignocellulosic matrix in their spines (Reyes-Rivera et al, 2020). After preparing and milling the spine samples, the researchers performed Py-GC-MS experiments according to their previously published method (Reyes-Rivera et al, 2018).…”
Section: Modifications and Improvementsmentioning
confidence: 99%
“…On the other hand, Reyes-Rivera et al [72] applied multivariate analysis for the results obtained in Py-GC/ MS studies of spines in Cactaceae. Principal component analysis (PCA), hierarchical clustering analysis (HCA) and hierarchical clustering on the principal components with k-means partition (HCPC) were applied in this case.…”
Section: Application Of Multivariate Analysismentioning
confidence: 99%
“…Recently, plant spines have been reported to be particularly enriched with phenylpropanoidderived compounds, specifically from lignocellulosic matrix [14,34,35]. In this work, an ultra-performance liquid chromatography coupled to mass spectrometry has been developed for the analysis of secondary metabolites in A. fourcroydes spines, which could be involved in aposematic coloration, a feature typically encountered in agave spines [4,8].…”
Section: Metabolomic Profiling and In Situ Secondary Polyphenols Detementioning
confidence: 99%
“…Apical spines can be brown reddish, gray, black, white, or yellow, rigid or flexible, straight or curved, and prominently long in some species, especially in those belonging Salmianae section [4,[8][9][10]. In contrast to Cactaceae spines, for which chemical composition and ultra-structural characteristics have been described [11][12][13][14], structural composition and anatomy of agave spines remain uncovered. All described agave species possess highly colored spines that suggest an interesting regulatory interplay between metabolite accumulation and sclerenchyma development, and they may become an outstanding model to design fibers that produce its own color.…”
Section: Introductionmentioning
confidence: 99%
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