AI Article Synopsis

  • Ancestral sequence reconstruction (ASR) is important for evolutionary studies and protein engineering, and begins with creating a sequence set of recent homologs that influences the outcome.
  • Traditional methods for sequence selection involve multiple rounds of manual compilation based on phylogenetic analyses, which can be time-consuming.
  • The new method, FitSS4ASR, streamlines this process by using filters to remove irrelevant sequences, showing consistent results with manual methods in identifying the oligomerization states of ancestral proteins.

Article Abstract

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.

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http://dx.doi.org/10.1515/hsz-2018-0344DOI Listing

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