Data from: Upon accounting for the impact of isoenzyme loss, gene deletion costs anticorrelate with their evolutionary rates

Christopher Jacobs, Luke Lambourne, Yu Xia & Daniel Segre
System-level metabolic network models enable the computation of growth and metabolic phenotypes from an organism’s genome. In particular, flux balance approaches have been used to estimate the contribution of individual metabolic genes to organismal fitness, offering the opportunity to test whether such contributions carry information about the evolutionary pressure on the corresponding genes. Previous failure to identify the expected negative correlation between such computed gene-loss cost and sequence-derived evolutionary rates in Saccharomyces cerevisiae has been...
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