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Use of Fibonacci numbers in lipidomics – Enumerating various classes of fatty acids
In lipid biochemistry, a fundamental question is how the potential number of fatty acids increases with their chain length. Here, we show that it grows according to the famous Fibonacci numbers when cis/trans isomerism is neglected. Since the ratio of two consecutive Fibonacci numbers tends to the G...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5223158/ https://www.ncbi.nlm.nih.gov/pubmed/28071669 http://dx.doi.org/10.1038/srep39821 |
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author | Schuster, Stefan Fichtner, Maximilian Sasso, Severin |
author_facet | Schuster, Stefan Fichtner, Maximilian Sasso, Severin |
author_sort | Schuster, Stefan |
collection | PubMed |
description | In lipid biochemistry, a fundamental question is how the potential number of fatty acids increases with their chain length. Here, we show that it grows according to the famous Fibonacci numbers when cis/trans isomerism is neglected. Since the ratio of two consecutive Fibonacci numbers tends to the Golden section, 1.618, organisms can increase fatty acid variability approximately by that factor per carbon atom invested. Moreover, we show that, under consideration of cis/trans isomerism and/or of modification by hydroxy and/or oxo groups, diversity can be described by generalized Fibonacci numbers (e.g. Pell numbers). For the sake of easy comprehension, we deliberately build the proof on the recursive definitions of these number series. Our results should be of interest for mass spectrometry, combinatorial chemistry, synthetic biology, patent applications, use of fatty acids as biomarkers and the theory of evolution. The recursive definition of Fibonacci numbers paves the way to construct all structural formulas of fatty acids in an automated way. |
format | Online Article Text |
id | pubmed-5223158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52231582017-01-11 Use of Fibonacci numbers in lipidomics – Enumerating various classes of fatty acids Schuster, Stefan Fichtner, Maximilian Sasso, Severin Sci Rep Article In lipid biochemistry, a fundamental question is how the potential number of fatty acids increases with their chain length. Here, we show that it grows according to the famous Fibonacci numbers when cis/trans isomerism is neglected. Since the ratio of two consecutive Fibonacci numbers tends to the Golden section, 1.618, organisms can increase fatty acid variability approximately by that factor per carbon atom invested. Moreover, we show that, under consideration of cis/trans isomerism and/or of modification by hydroxy and/or oxo groups, diversity can be described by generalized Fibonacci numbers (e.g. Pell numbers). For the sake of easy comprehension, we deliberately build the proof on the recursive definitions of these number series. Our results should be of interest for mass spectrometry, combinatorial chemistry, synthetic biology, patent applications, use of fatty acids as biomarkers and the theory of evolution. The recursive definition of Fibonacci numbers paves the way to construct all structural formulas of fatty acids in an automated way. Nature Publishing Group 2017-01-10 /pmc/articles/PMC5223158/ /pubmed/28071669 http://dx.doi.org/10.1038/srep39821 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Schuster, Stefan Fichtner, Maximilian Sasso, Severin Use of Fibonacci numbers in lipidomics – Enumerating various classes of fatty acids |
title | Use of Fibonacci numbers in lipidomics – Enumerating various classes of fatty acids |
title_full | Use of Fibonacci numbers in lipidomics – Enumerating various classes of fatty acids |
title_fullStr | Use of Fibonacci numbers in lipidomics – Enumerating various classes of fatty acids |
title_full_unstemmed | Use of Fibonacci numbers in lipidomics – Enumerating various classes of fatty acids |
title_short | Use of Fibonacci numbers in lipidomics – Enumerating various classes of fatty acids |
title_sort | use of fibonacci numbers in lipidomics – enumerating various classes of fatty acids |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5223158/ https://www.ncbi.nlm.nih.gov/pubmed/28071669 http://dx.doi.org/10.1038/srep39821 |
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