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  The evolution of metabolism: How to test evolutionary hypotheses at the genomic level

Scossa, F., & Fernie, A. R. (2020). The evolution of metabolism: How to test evolutionary hypotheses at the genomic level. Computational and Structural Biotechnology Journal, 18, 482-500. doi:10.1016/j.csbj.2020.02.009.

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 Creators:
Scossa, F.1, Author              
Fernie, A. R.1, Author              
Affiliations:
1Central Metabolism, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753339              

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Free keywords: Evolution, Metabolism, Plants, Genomics, Selection, Adaptation
 Abstract: The origin of primordial metabolism and its expansion to form the metabolic networks extant today represent excellent systems to study the impact of natural selection and the potential adaptive role of novel compounds. Here we present the current hypotheses made on the origin of life and ancestral metabolism and present the theories and mechanisms by which the large chemical diversity of plants might have emerged along evolution. In particular, we provide a survey of statistical methods that can be used to detect signatures of selection at the gene and population level, and discuss potential and limits of these methods for investigating patterns of molecular adaptation in plant metabolism.

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Language(s): eng - English
 Dates: 2020
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: Computational and Structural Biotechnology Journal
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 18 Sequence Number: - Start / End Page: 482 - 500 Identifier: ISSN: 2001-0370
CoNE: https://pure.mpg.de/cone/journals/resource/2001-0370