Connectivity between Catalytic Landscapes of the Metallo-β-Lactamase Superfamily

https://doi.org/10.1016/j.jmb.2014.04.013Get rights and content

Highlights

  • We analyzed evolutionary and functional connectivity within the MBL superfamily.

  • Enzymes showed catalytic promiscuity, and they catalyze on average 2.5 reactions.

  • Catalytically distinct functions are highly connected through promiscuous enzymes.

  • Some evolutionary and functionally connected pairs are also observed in other superfamilies.

  • New functions could evolve rapidly from the repertoire of existing enzymes.

Abstract

The expansion of functions in an enzyme superfamily is thought to occur through recruitment of latent promiscuous functions within existing enzymes. Thus, the promiscuous activities of enzymes represent connections between different catalytic landscapes and provide an additional layer of evolutionary connectivity between functional families alongside their sequence and structural relationships. Functional connectivity has been observed between individual functional families; however, little is known about how catalytic landscapes are connected throughout a highly diverged superfamily. Here, we describe a superfamily-wide analysis of evolutionary and functional connectivity in the metallo-β-lactamase (MBL) superfamily. We investigated evolutionary connections between functional families and related evolutionary to functional connectivity; 24 enzymes from 15 distinct functional families were challenged against 10 catalytically distinct reactions. We revealed that enzymes of this superfamily are generally promiscuous, as each enzyme catalyzes on average 1.5 reactions in addition to its native one. Catalytic landscapes in the MBL superfamily overlap substantially; each reaction is connected on average to 3.7 other reactions whereas some connections appear to be unrelated to recent evolutionary events and occur between chemically distinct reactions. These findings support the idea that the highly distinct reactions in the MBL superfamily could have evolved from a common ancestor traversing a continuous network via promiscuous enzymes. Several functional connections (e.g., the lactonase/phosphotriesterase and phosphonatase/phosphodiesterase/arylsulfatase reactions) are also observed in structurally and evolutionary distinct superfamilies, suggesting that these catalytic landscapes are substantially connected. Our results show that new enzymatic functions could evolve rapidly from the current diversity of enzymes and range of promiscuous activities.

Introduction

New enzymatic functions are thought to evolve through the recruitment and optimization of latent promiscuous functions of existing enzymes, leading to the functional expansion of superfamilies [1], [2], [3]. Closely related enzymes have shared promiscuous activities or crosswise promiscuity, as defined by each possessing a low level of catalytic activity against the other's native reaction [3], [4]. Thus, enzyme promiscuity can provide an additional layer of evolutionary connectivity between functional families in addition to their sequence and structural relationships. Systematic characterizations of substrate promiscuity among homologous and reconstructed ancestral enzymes have elucidated how substrate specificity has diverged within enzyme families [5], [6], [7], [8], [9], [10]. In addition, catalytic promiscuity, an enzyme's ability to catalyze distinct chemical reactions to their native one, provides functional connectivity between homologous enzymes [3], [11], [12], [13], [14], [15]. For example, lactonase, arylesterase and phosphotriesterase activities are shared among enzymes of the amidohydrolase superfamily [16], [17], [18]. Connectivity between phosphatase, phosphodiesterase, phosphonatase and arylsulfatase activities among members of the alkaline phosphatase superfamily has also been demonstrated [14], [19], [20], [21].

By extending Maynard-Smith's picture of a continuous network of functional proteins [22], we hypothesize that, through promiscuous enzymes, the shared and overlapping catalytic landscapes form a continuous network (Box 1). Therefore, within a given superfamily, functional changes can occur gradually and in a continuous manner [23]. Previous studies have focused on the connectivity between the native reactions of individual pairs of closely related homologues (~ 30% sequence identity) and included similar activities that share chemical properties such as transition-state geometry, hydrolyzable bond and bond charge [14], [16], [19], [20]. Hence, the extent to which catalytic landscapes are evolutionary and functionally connected, on a broad level that spans the vast sequence space of a functionally diverged superfamily, remains elusive.

The metallo-β-lactamase (MBL) superfamily served as our model enzyme superfamily. Members of the MBL superfamily are substantially diverged in sequence and function. Approximately 34,000 sequences are registered in the protein family database (Pfam) [24]. The amino acid sequence identity between members can be less than 5%, but members share structural features such as the αββα-fold (MBL fold) and a mononuclear or binuclear active-site center with a unique metal binding motif (H-X-H-X-D-H) [25] (Fig. 1 and Figs. S1 and S2). To date, at least 24 distinct functional families have been identified within the MBL superfamily, including DNA, RNA and nucleotide processing, detoxification, antibiotic resistance, quorum-quenching and pesticide hydrolysis [25], [26], [27], [28], [29], [30], [31], [32]. Most of these functions involve hydrolytic reactions and target diverse substrates with different chemical properties such as phosphodiester, phosphotriester, choline-phosphoester, thiol-ester, sulfate-ester, carbon-ester and β-lactam bond [25], [26], [27], [28], [29]. Other functions involve non-hydrolytic reactions such as nitric oxidoreduction [30] and sulfur dioxygenation [31], as well as non-enzymatic functions such as binding and transport [25], [32]. Many of the hydrolytic functions are amenable to characterization by simple colorimetric assays, which makes the MBL superfamily particularly well suited to analyze the connectivity of catalytic landscapes within a superfamily. In this study, we analyzed the sequence relationship within the MBL superfamily using sequence similarity networks, revealing evolutionary proximity among functional families. Furthermore, we assayed the activity profile of 24 MBL members from 15 different functional families for 10 catalytically distinct reactions. Finally, we relate the observed functional connections to evolutionary connections and chemical similarity between the reactions, and we discuss how the overlapped catalytic landscapes are related to evolutionary divergence and evolvability of the MBL superfamily.

Section snippets

Overview of the dataset and methodologies

To investigate the sequence relationship of MBL superfamily members, we retrieved 33,843 sequences from the Pfam database [24]. Due to high divergence and quantity of the sequences, conventional approaches to characterize evolutionary relationships, such as multiple sequence alignments and phylogenetic trees, were not applicable. As an alternative, we employed sequence similarity networks to show the relationships between sequences, described as independent pairwise alignments using the BLAST

Discussion

What is the molecular basis for the observed catalytic promiscuity and connectivity between the catalytic landscapes? Most members of the MBL superfamily possess a binuclear active-site center (generally two Zn2 + ions), which plays an essential role in catalysis by activating a water molecule for a nucleophilic attack and stabilizing the charge of the ground and/or transition state. The same mechanistic feature seems to be used for promiscuous activities because metal ions appear to be critical

Construction of sequence similarity networks

The pipeline to generate sequence similarity networks was adapted from Atkinson et al. [34]. In detail, 33,843 amino acid sequences of the MBL superfamily (Pfam IDs PF00753, PF12706 and PF13483) were retrieved from the Pfam database [24] on the 15th of June 2012. To facilitate further analysis, we extracted a representative set from the initial set (33,843 sequences) by applying a sequence identity threshold of 50% using CD-Hit [62]. Subsequently, we manually added the amino acid sequences of

Acknowledgements

We thank Janine N. Copp, Lindsay Eltis, Bert van Loo, Charlotte Miton, Joelle Pelletier, Roland Scholz, Dan S. Tawfik and members of the Tokuriki laboratory for useful comments on the manuscript. We thank Geoffrey Woollard for his help with structural bioinformatics and Anne Marie Di Guilmi, Wayne F. Anderson and Kurt Faber for providing plasmids containing the genes of PDB IDs 1wra, 1zkp and 2cfu, respectively. This work was supported by the Canadian Institute of Health Research and the Human

References (66)

  • M. Ben-David et al.

    Catalytic metal ion rearrangements underline promiscuity and evolvability of a metalloenzyme

    J Mol Biol

    (2013)
  • M.M. Nielsen et al.

    Substrate and metal ion promiscuity in mannosylglycerate synthase

    J Biol Chem

    (2011)
  • C.A. Tracewell et al.

    Directed enzyme evolution: climbing fitness peaks one amino acid at a time

    Curr Opin Chem Biol

    (2009)
  • S. Sun et al.

    Evolution of broad spectrum β-lactam resistance in an engineered metallo-β-lactamase

    J Biol Chem

    (2013)
  • M.S. Wilke et al.

    Beta-lactam antibiotic resistance: a current structural perspective

    Curr Opin Microbiol

    (2005)
  • R.A. Jensen

    Enzyme recruitment in evolution of new function

    Annu Rev Microbiol

    (1976)
  • O. Khersonsky et al.

    Enzyme promiscuity: a mechanistic and evolutionary perspective

    Annu Rev Biochem

    (2010)
  • R. Huang et al.

    Enzyme functional evolution through improved catalysis of ancestrally nonpreferred substrates

    Proc Natl Acad Sci U S A

    (2012)
  • K. Voordeckers et al.

    Reconstruction of ancestral metabolic enzymes reveals molecular mechanisms underlying evolutionary innovation through gene duplication

    PLoS Biol

    (2012)
  • D.M.Z. Schmidt et al.

    Evolutionary potential of (beta/alpha)8-barrels: functional promiscuity produced by single substitutions in the enolase superfamily

    Biochemistry

    (2003)
  • B.-J. Baas et al.

    Recent advances in the study of enzyme promiscuity in the tautomerase superfamily

    ChemBioChem

    (2013)
  • M. Larion et al.

    Divergent evolution of function in the ROK sugar kinase superfamily: role of enzyme loops in substrate specificity

    Biochemistry

    (2007)
  • K. Bastard et al.

    Revealing the hidden functional diversity of an enzyme family

    Nat Chem Biol

    (2014)
  • J.-K. Weng et al.

    The rise of chemodiversity in plants

    Science

    (2012)
  • I. Leščić Ašler et al.

    Probing enzyme promiscuity of SGNH hydrolases

    ChemBioChem

    (2010)
  • C. Roodveldt et al.

    Shared promiscuous activities and evolutionary features in various members of the amidohydrolase superfamily

    Biochemistry

    (2005)
  • L. Afriat et al.

    The latent promiscuity of newly identified microbial lactonases is linked to a recently diverged phosphotriesterase

    Biochemistry

    (2006)
  • M. Elias et al.

    Divergence and convergence in enzyme evolution: parallel evolution of paraoxonases from quorum-quenching lactonases

    J Biol Chem

    (2011)
  • B. van Loo et al.

    An efficient, multiply promiscuous hydrolase in the alkaline phosphatase superfamily

    Proc Natl Acad Sci U S A

    (2010)
  • P.J. O'Brien et al.

    Functional interrelationships in the alkaline phosphatase superfamily: phosphodiesterase activity of Escherichia coli alkaline phosphatase

    Biochemistry

    (2001)
  • J.K. Lassila et al.

    Promiscuous sulfatase activity and thio-effects in a phosphodiesterase of the alkaline phosphatase superfamily

    Biochemistry

    (2008)
  • J.M. Smith

    Natural selection and the concept of a protein space

    Nature

    (1970)
  • M. Kaltenbach et al.

    Dynamics and constraints of enzyme evolution

    J Exp Zool B Mol Dev Evol

    (2014)
  • Cited by (83)

    • Molecular determinants of protein evolvability

      2023, Trends in Biochemical Sciences
    • Setting the stage for evolution of a new enzyme

      2021, Current Opinion in Structural Biology
      Citation Excerpt :

      The existence of large superfamilies of enzymes [33–38] suggests that most enzymes have evolved from previously existing enzymes by gene duplication and divergence.

    View all citing articles on Scopus
    View full text