Open Access
Biology, volume 11, issue 7, pages 1089
The Application of Quantitative Metabolomics for the Taxonomic Differentiation of Birds
Publication type: Journal Article
Publication date: 2022-07-21
General Biochemistry, Genetics and Molecular Biology
General Agricultural and Biological Sciences
General Immunology and Microbiology
Abstract
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 (Milvus migrans), Eurasian magpie (Pica pica), Northern raven (Corvus corax), Eurasian coot (Fulica atra), Godlewski’s bunting (Emberiza godlewskii), Great crested grebe (Podiceps cristatus), Great tit (Parus major), Hawfinch (Coccothraustes coccothraustes), Hooded crow (Corvus cornix), House sparrow (Passer domesticus), Rock dove (Columba livia), Rook (Corvus frugilegus), Short-eared owl (Asio flammeus) and Ural owl (Strix uralensis). 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.
Citations by journals
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Scientific Reports
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Scientific Reports
1 publication, 20%
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Journal of Comparative Physiology B: Biochemical, Systemic, and Environmental Physiology
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Journal of Comparative Physiology B: Biochemical, Systemic, and Environmental Physiology
1 publication, 20%
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Data
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Data
1 publication, 20%
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Metabolites
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Metabolites
1 publication, 20%
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Animals
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Animals
1 publication, 20%
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1
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Citations by publishers
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3
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Multidisciplinary Digital Publishing Institute (MDPI)
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Multidisciplinary Digital Publishing Institute (MDPI)
3 publications, 60%
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Springer Nature
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Springer Nature
2 publications, 40%
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Zelentsova E. A. et al. The Application of Quantitative Metabolomics for the Taxonomic Differentiation of Birds // Biology. 2022. Vol. 11. No. 7. p. 1089.
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Zelentsova E. A., Yanshole L. V., Tsentalovich Y. P., Sharshov K. A., Yanshole V. V. The Application of Quantitative Metabolomics for the Taxonomic Differentiation of Birds // Biology. 2022. Vol. 11. No. 7. p. 1089.
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TY - JOUR
DO - 10.3390/biology11071089
UR - https://doi.org/10.3390%2Fbiology11071089
TI - The Application of Quantitative Metabolomics for the Taxonomic Differentiation of Birds
T2 - Biology
AU - Sharshov, Kirill A
AU - Zelentsova, Ekaterina A
AU - Yanshole, Lyudmila V
AU - Tsentalovich, Yuri P
AU - Yanshole, Vadim V
PY - 2022
DA - 2022/07/21 00:00:00
PB - Multidisciplinary Digital Publishing Institute (MDPI)
SP - 1089
IS - 7
VL - 11
SN - 2079-7737
ER -
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@article{2022_Zelentsova,
author = {Kirill A Sharshov and Ekaterina A Zelentsova and Lyudmila V Yanshole and Yuri P Tsentalovich and Vadim V Yanshole},
title = {The Application of Quantitative Metabolomics for the Taxonomic Differentiation of Birds},
journal = {Biology},
year = {2022},
volume = {11},
publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},
month = {jul},
url = {https://doi.org/10.3390%2Fbiology11071089},
number = {7},
pages = {1089},
doi = {10.3390/biology11071089}
}
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MLA
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Zelentsova, Ekaterina A., et al. “The Application of Quantitative Metabolomics for the Taxonomic Differentiation of Birds.” Biology, vol. 11, no. 7, Jul. 2022, p. 1089. https://doi.org/10.3390%2Fbiology11071089.