Author: Kowalczyk, Amanda; Gbadamosi, Omotola; Kolor, Kathryn; Sosa, Jahree; St Croix, Claudette; Gibson, Gregory; Chikina, Maria; Aizenman, Elias; Clark, Nathan; Kiselyov, Kirill
                    Title: Evolutionary rate covariation identifies SLC30A9 (ZnT9) as a mitochondrial zinc transporter  Cord-id: xa8zi4uw  Document date: 2021_4_22
                    ID: xa8zi4uw
                    
                    Snippet: Recent advances in genome sequencing have led to the identification of new ion and metabolite transporters, many of which have not been characterized. Due to the variety of subcellular localizations, cargo and transport mechanisms, such characterization is a daunting task, and predictive approaches focused on the functional context of transporters are very much needed. Here we present a case for identifying a transporter localization using evolutionary rate covariation (ERC), a computational app
                    
                    
                    
                     
                    
                    
                    
                    
                        
                            
                                Document: Recent advances in genome sequencing have led to the identification of new ion and metabolite transporters, many of which have not been characterized. Due to the variety of subcellular localizations, cargo and transport mechanisms, such characterization is a daunting task, and predictive approaches focused on the functional context of transporters are very much needed. Here we present a case for identifying a transporter localization using evolutionary rate covariation (ERC), a computational approach based on pairwise correlations of amino acid sequence evolutionary rates across the mammalian phylogeny. As a case study, we find that poorly characterized transporter SLC30A9 (ZnT9) uniquely and prominently coevolves with several components of the mitochondrial oxidative phosphorylation chain, suggesting mitochondrial localization. We confirmed this computational finding experimentally using recombinant human SLC30A9. SLC30A9 loss caused zinc mishandling in the mitochondria, suggesting that under normal conditions it acts as a zinc exporter. We therefore propose that ERC can be used to predict the functional context of novel transporters and other poorly characterized proteins.
 
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