“…The approach has been used to detect physical interactions within and among proteins, as well as shared functionality not involving physical interaction, such as within metabolic pathways (Clark, Alani & Aquadro, 2012). For example, it has been employed to identify gene networks for post-mating response (Findlay et al, 2014), ubiquitination (Böhm et al, 2016), and recombination (Godin et al, 2015), and more recently to identify DNA repair genes (Brunette et al, 2019), cadherin-associated proteins (Raza et al, 2019), mitochondrial-nuclear interactions (Yan, Ye & Werren, 2019), and a mitochondrial associated zinc transporter (Kowalczyk et al, 2021), with subsequent experimental support. Evolutionary rate correlation (ERC) approaches are relatively inexpensive screening tools for detecting candidate protein interactions, and can also detect novel protein interactions that are not readily found in more traditional proteomic and genetic approaches (Colgren & Nichols, 2019;Yan, Ye & Werren, 2019).…”