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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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Genre: Zeitschriftenartikel

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

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Schlagwörter: Evolution, Metabolism, Plants, Genomics, Selection, Adaptation
 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2020
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
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Titel: Computational and Structural Biotechnology Journal
Genre der Quelle: Zeitschrift
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Affiliations:
Ort, Verlag, Ausgabe: Amsterdam : Elsevier
Seiten: - Band / Heft: 18 Artikelnummer: - Start- / Endseite: 482 - 500 Identifikator: ISSN: 2001-0370
CoNE: https://pure.mpg.de/cone/journals/resource/2001-0370