The Application of Quantitative Metabolomics for the Taxonomic Differentiation of Birds

In the current pilot study, we propose the use of quantitative metabolomics to reconstruct the phylogeny of vertebrates, namely birds. We determined the concentrations of the 67 most abundant metabolites in the eye lenses of the following 14 species from 6 orders of the class Aves (Birds): the Black...

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Main Authors: Ekaterina A. Zelentsova, Lyudmila V. Yanshole, Yuri P. Tsentalovich, Kirill A. Sharshov, Vadim V. Yanshole
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Biology
Subjects:
Online Access:https://www.mdpi.com/2079-7737/11/7/1089
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author Ekaterina A. Zelentsova
Lyudmila V. Yanshole
Yuri P. Tsentalovich
Kirill A. Sharshov
Vadim V. Yanshole
author_facet Ekaterina A. Zelentsova
Lyudmila V. Yanshole
Yuri P. Tsentalovich
Kirill A. Sharshov
Vadim V. Yanshole
author_sort Ekaterina A. Zelentsova
collection DOAJ
description In the current pilot study, we propose the use of quantitative metabolomics to reconstruct the phylogeny of vertebrates, namely birds. We determined the concentrations of the 67 most abundant metabolites in the eye lenses of the following 14 species from 6 orders of the class Aves (Birds): the Black kite (<i>Milvus migrans</i>), Eurasian magpie (<i>Pica pica</i>), Northern raven (<i>Corvus corax</i>), Eurasian coot (<i>Fulica atra</i>), Godlewski’s bunting (<i>Emberiza godlewskii</i>), Great crested grebe (<i>Podiceps cristatus</i>), Great tit (<i>Parus major</i>), Hawfinch (<i>Coccothraustes coccothraustes</i>), Hooded crow (<i>Corvus cornix</i>), House sparrow (<i>Passer domesticus</i>), Rock dove (<i>Columba livia</i>), Rook (<i>Corvus frugilegus</i>), Short-eared owl (<i>Asio flammeus</i>) and Ural owl (<i>Strix uralensis</i>). Further analysis shows that the statistical approaches generally used in metabolomics can be applied for differentiation between species, and the most fruitful results were obtained with hierarchical clustering analysis (HCA). We observed the grouping of conspecific samples independently of the sampling place and date. The HCA tree structure supports the key role of genomics in the formation of the lens metabolome, but it also indicates the influence of the species lifestyle. A combination of genomics-based and metabolomics-based phylogeny could potentially resolve arising issues and yield a more reliable tree of life.
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spelling doaj.art-8939fc937b8b454cad61a40c3e2ad0e22023-12-01T21:54:51ZengMDPI AGBiology2079-77372022-07-01117108910.3390/biology11071089The Application of Quantitative Metabolomics for the Taxonomic Differentiation of BirdsEkaterina A. Zelentsova0Lyudmila V. Yanshole1Yuri P. Tsentalovich2Kirill A. Sharshov3Vadim V. Yanshole4Laboratory of Proteomics and Metabolomics, International Tomography Center SB RAS, Institutskaya 3a, 630090 Novosibirsk, RussiaLaboratory of Proteomics and Metabolomics, International Tomography Center SB RAS, Institutskaya 3a, 630090 Novosibirsk, RussiaLaboratory of Proteomics and Metabolomics, International Tomography Center SB RAS, Institutskaya 3a, 630090 Novosibirsk, RussiaLaboratory of Molecular Epidemiology and Biodiversity of Viruses, Federal Research Center of Fundamental and Translational Medicine, Timakova Str. 2, 630117 Novosibirsk, RussiaLaboratory of Proteomics and Metabolomics, International Tomography Center SB RAS, Institutskaya 3a, 630090 Novosibirsk, RussiaIn the current pilot study, we propose the use of quantitative metabolomics to reconstruct the phylogeny of vertebrates, namely birds. We determined the concentrations of the 67 most abundant metabolites in the eye lenses of the following 14 species from 6 orders of the class Aves (Birds): the Black kite (<i>Milvus migrans</i>), Eurasian magpie (<i>Pica pica</i>), Northern raven (<i>Corvus corax</i>), Eurasian coot (<i>Fulica atra</i>), Godlewski’s bunting (<i>Emberiza godlewskii</i>), Great crested grebe (<i>Podiceps cristatus</i>), Great tit (<i>Parus major</i>), Hawfinch (<i>Coccothraustes coccothraustes</i>), Hooded crow (<i>Corvus cornix</i>), House sparrow (<i>Passer domesticus</i>), Rock dove (<i>Columba livia</i>), Rook (<i>Corvus frugilegus</i>), Short-eared owl (<i>Asio flammeus</i>) and Ural owl (<i>Strix uralensis</i>). Further analysis shows that the statistical approaches generally used in metabolomics can be applied for differentiation between species, and the most fruitful results were obtained with hierarchical clustering analysis (HCA). We observed the grouping of conspecific samples independently of the sampling place and date. The HCA tree structure supports the key role of genomics in the formation of the lens metabolome, but it also indicates the influence of the species lifestyle. A combination of genomics-based and metabolomics-based phylogeny could potentially resolve arising issues and yield a more reliable tree of life.https://www.mdpi.com/2079-7737/11/7/1089quantitative metabolomicsphylogenyhierarchical clustering analysisNMR spectroscopyeye lensbirds
spellingShingle Ekaterina A. Zelentsova
Lyudmila V. Yanshole
Yuri P. Tsentalovich
Kirill A. Sharshov
Vadim V. Yanshole
The Application of Quantitative Metabolomics for the Taxonomic Differentiation of Birds
Biology
quantitative metabolomics
phylogeny
hierarchical clustering analysis
NMR spectroscopy
eye lens
birds
title The Application of Quantitative Metabolomics for the Taxonomic Differentiation of Birds
title_full The Application of Quantitative Metabolomics for the Taxonomic Differentiation of Birds
title_fullStr The Application of Quantitative Metabolomics for the Taxonomic Differentiation of Birds
title_full_unstemmed The Application of Quantitative Metabolomics for the Taxonomic Differentiation of Birds
title_short The Application of Quantitative Metabolomics for the Taxonomic Differentiation of Birds
title_sort application of quantitative metabolomics for the taxonomic differentiation of birds
topic quantitative metabolomics
phylogeny
hierarchical clustering analysis
NMR spectroscopy
eye lens
birds
url https://www.mdpi.com/2079-7737/11/7/1089
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