Deep mutational scanning of an RRM domain of the Saccharomyces cerevisiae poly(A)-binding protein

  1. Stanley Fields1,2,3,4
  1. 1Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, USA
  2. 2Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
  3. 3Department of Medicine, University of Washington, Seattle, Washington 98195, USA

    Abstract

    The RNA recognition motif (RRM) is the most common RNA-binding domain in eukaryotes. Differences in RRM sequences dictate, in part, both RNA and protein-binding specificities and affinities. We used a deep mutational scanning approach to study the sequence-function relationship of the RRM2 domain of the Saccharomyces cerevisiae poly(A)-binding protein (Pab1). By scoring the activity of more than 100,000 unique Pab1 variants, including 1246 with single amino acid substitutions, we delineated the mutational constraints on each residue. Clustering of residues with similar mutational patterns reveals three major classes, composed principally of RNA-binding residues, of hydrophobic core residues, and of the remaining residues. The first class also includes a highly conserved residue not involved in RNA binding, G150, which can be mutated to destabilize Pab1. A comparison of the mutational sensitivity of yeast Pab1 residues to their evolutionary conservation reveals that most residues tolerate more substitutions than are present in the natural sequences, although other residues that tolerate fewer substitutions may point to specialized functions in yeast. An analysis of ∼40,000 double mutants indicates a preference for a short distance between two mutations that display an epistatic interaction. As examples of interactions, the mutations N139T, N139S, and I157L suppress other mutations that interfere with RNA binding and protein stability. Overall, this study demonstrates that living cells can be subjected to a single assay to analyze hundreds of thousands of protein variants in parallel.

    Keywords

    Footnotes

    • 4 Corresponding author

      E-mail fields{at}u.washington.edu

    • Freely available online through the RNA Open Access option

    • Received June 18, 2013.
    • Accepted August 9, 2013.

    This article, published in RNA, is available under a Creative Commons License (Attribution-NonCommercial 3.0 Unported), as described at http://creativecommons.org/licenses/by-nc/3.0/.

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