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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MDPI AG
2022-07-01
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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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language | English |
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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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