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Pascarelli, S.

Publications and source records attributed to Pascarelli, S..

3 recordsLinked to original sources

Insertions and deletions mediated functional divergence of Rossmann fold enzymes

Nucleobase-containing coenzymes are considered the relics of an early RNA-based world that preceded the emergence of protein domains. Despite the importance of coenzyme-protein synergisms, their emergence and evolution remain poorly understood. An excellent target to address this issue is the Rossman fold, the most catalytically diverse and abundant protein architecture in Nature. Here, we investigatedted the two largest Rossman lineages, namely the nicotinamide adenine dinucleotide phosphate (NAD(P))-binding and the S-adenosyl methionine (SAM)-dependent superfamilies. With the aim to identify the evolutionary changes that lead to a switch in coenzyme specificity on these superfamilies, we performed structural and sequence-based Hidden Markov Models to systematically search for key motifs in their coenzyme-binding pockets. Our analyses revealed how insertions and deletions (InDels) reshaped the ancient {beta}1-loop-1 coenzyme-binding structure of NAD(P) into the well-defined SAM-binding {beta}1-loop-1 structure. To prove this observation experimentally, we removed an InDel of three amino acids from the NAD(P) coenzyme pocket and solved the structure of the resulting mutant, revealing the characteristic features of the SAM-binding pocket. To confirm the binding to SAM, we performed isothermal titration calorimetry measurements, validating the successful coenzyme switch. Molecular dynamics simulations also corroborated the role of InDels in abolishing NAD-binding and acquiring SAM binding. Our results uncovered how Nature utilized insertions and deletions to switch coenzyme specificity, and in turn, functionalities between these superfamilies. This work also establishes how protein structures could have been recycled through the course of evolution to adopt different coenzymes and confer different chemistries. Significance StatementCofactors are ubiquitous molecules necessary to drive about half of the enzymatic reactions in Nature. Among them, organic cofactors (coenzymes) that contain nucleotide moieties are believed to be relics of a hypothetical RNA world. Understanding coenzyme-binding transitions sheds light onto the emergence of the first enzymes and their chemical diversity. Rossmann enzymes bind to 7 out of 10 nucleotide coenzymes, representing an ideal target to study how different coenzyme specificities emerged and evolved. Here we demonstrated how insertions and deletions reshape coenzyme-specificity in Rossmann enzymes by retracing the emergence of the SAM-binding function from an NAD-binding ancestor. This work constitutes the first example of an evolutionary bridge between redox and methylation reactions, providing a new strategy to engineer coenzyme specificity.

evolutionary biology↗

Identification of residue inversions in large phylogenies of duplicated proteins

Connecting protein sequence to function is becoming increasingly relevant since high-throughput sequencing studies accumulate large amounts of genomic data. In order to go beyond the existing database annotation, it is fundamental to understand the mechanisms underlying functional inheritance and divergence. If the homology relationship between proteins is known, can we determine whether the function diverged? In this work, we analyze different possibilities of protein sequence evolution after gene duplication and identify "residue inversions", i.e., sites where the relationship between the ancestry and the functional signal is decoupled. Residues in these sites are masked from being recognized by other prediction tools. Still, they play a role in functional divergence and could indicate a shift in protein function. We develop a method to specifically recognize residue inversions in a phylogeny and test it on real and simulated datasets. In a dataset built from the Epidermal Growth Factor Receptor (EGFR) sequences found in 88 fish species, we identify 19 positions that went through inversion after gene duplication, mostly located at the ligand-binding extracellular domain. Our work uncovers a rare event of protein divergence that has direct implications in protein functional annotation and sequence evolution as a whole. The developed method is optimized to work with large protein datasets and can be readily included in a targeted protein analysis pipeline.

bioinformatics↗

Cryptic genetic variations of alanine:glyoxylate aminotransferase shape its fitness and dynamics

Genetic variations expand the conformational landscape of proteins and may underlie cryptic properties that promote environmental adaptability. However, they can also represent modifying factors for disease susceptibility, by changing frustrated regions that in turn affect protein overall intracellular fitness. In this dichotomy between conservation and innovation, understanding at structural level how genetic variations keep the balance to maintain protein fitness represents an unmet need. Herein, we took advantage of known genetic variations of human alanine:glyoxylate aminotransferase (AGT1), which is present as a common major allelic form (AGT-Ma) and a minor polymorphic form (AGT-Mi) expressed in 20% of Caucasian population. By crystallographic studies and molecular dynamics simulations we showed that the polymorphic amino acid substitutions shape the conformational flexibility of AGT1 so that three surface regions that are structured in AGT-Ma become disordered in AGT-Mi, thanks to plasticity effects propagated from the mutation site(s) to the whole structure. In-depth biochemical characterisation of variants from a library encompassing the three regions correlate this plasticity to a fitness window between AGT-Ma and AGT-Mi, and suggest the existence of cryptic functions related to protein-protein interactions. These results establish that naturally-occurring genetic variations tip the balance between stability and frustration to expand the potential innovability of the protein.

biochemistry↗