• Medientyp: E-Artikel
  • Titel: Sequence selection by FitSS4ASR alleviates ancestral sequence reconstruction as exemplified for geranylgeranylglyceryl phosphate synthase
  • Beteiligte: Straub, Kristina; Linde, Mona; Kropp, Cosimo; Blanquart, Samuel; Babinger, Patrick; Merkl, Rainer
  • Erschienen: Walter de Gruyter GmbH, 2019
  • Erschienen in: Biological Chemistry
  • Sprache: Englisch
  • DOI: 10.1515/hsz-2018-0344
  • ISSN: 1437-4315; 1431-6730
  • Schlagwörter: Clinical Biochemistry ; Molecular Biology ; Biochemistry
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  • Beschreibung: <jats:title>Abstract</jats:title> <jats:p>For evolutionary studies, but also for protein engineering, ancestral sequence reconstruction (ASR) has become an indispensable tool. The first step of every ASR protocol is the preparation of a representative sequence set containing at most a few hundred recent homologs whose composition determines decisively the outcome of a reconstruction. A common approach for sequence selection consists of several rounds of manual recompilation that is driven by embedded phylogenetic analyses of the varied sequence sets. For ASR of a geranylgeranylglyceryl phosphate synthase, we additionally utilized FitSS4ASR, which replaces this time-consuming protocol with an efficient and more rational approach. FitSS4ASR applies orthogonal filters to a set of homologs to eliminate outlier sequences and those bearing only a weak phylogenetic signal. To demonstrate the usefulness of FitSS4ASR, we determined experimentally the oligomerization state of eight predecessors, which is a delicate and taxon-specific property. Corresponding ancestors deduced in a manual approach and by means of FitSS4ASR had the same dimeric or hexameric conformation; this concordance testifies to the efficiency of FitSS4ASR for sequence selection. FitSS4ASR-based results of two other ASR experiments were added to the Supporting Information. Program and documentation are available at https://gitlab.bioinf.ur.de/hek61586/FitSS4ASR.</jats:p>