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Mitochondrial ribosomes are complex molecular machines indispensable for respiration. Their assembly involves the import of several dozens of mitochondrial ribosomal proteins (MRPs), encoded in the nuclear genome, into the mitochondrial matrix. Proteomic and structural data as well as computational predictions indicate that up to 25% of yeast MRPs do not have a conventional N-terminal mitochondrial targeting signal (MTS). We experimentally characterized a set of 15 yeast MRPs in vivo and found that five use internal MTSs. Further analysis of a conserved model MRP, Mrp17/bS6m, revealed the identity of the internal targeting signal. Similar to conventional MTS-containing proteins, the internal sequence mediates binding to TOM complexes. The entire sequence of Mrp17 contains positive charges mediating translocation. The fact that these sequence properties could not be reliably predicted by standard methods shows that mitochondrial protein targeting is more versatile than expected. We hypothesize that structural constraints imposed by ribosome assembly interfaces may have disfavored N-terminal presequences and driven the evolution of internal targeting signals in MRPs.
Many cellular functions are carried out by protein pairs or families, providing robustness alongside functional diversity. For such processes, it remains a challenge to map the degree of specificity versus promiscuity. Protein-protein interactions (PPIs) can be used to inform on these matters as they highlight cellular locals, regulation and, in cases where proteins affect other proteins - substrate range. However, methods to systematically study transient PPIs are underutilized. In this study, we create a novel approach to systematically compare stable or transient PPIs between two yeast proteins. Our approach, Cel-lctiv (CELlular biotin-Ligation for Capturing Transient Interactions in vivo), uses high-throughput pairwise proximity biotin ligation for comparing PPIs systematically and in vivo. As a proof of concept, we studied the homologous translocation pores Sec61 and Ssh1. We show how Cel-lctiv can uncover the unique substrate range for each translocon allowing us to pinpoint a specificity determinator driving interaction preference. More generally, this demonstrates how Cel-lctiv can provide direct information on substrate specificity even for highly homologous proteins.
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