Picornaviruses have some of the highest nucleotide substitution rates among viruses, but there have been no comparisons of evolutionary rates within this broad family. We combined our own Bayesian coalescent analyses of VP1 regions from four picornaviruses with 22 published VP1 rates to produce the first within-family meta-analysis of viral evolutionary rates. Similarly, we compared our rate estimates for the RNA polymerase 3D pol gene from five viruses to four published 3D pol rates. Both a structural and a nonstructural gene show that enteroviruses are evolving, on average, a half order of magnitude faster than members of other genera within the Picornaviridae family.Members of the Picornaviridae family are the most common cause of human viral infections in developed countries (28,39). Human picornaviruses produce symptoms ranging from mild respiratory illness to hemorrhagic conjunctivitis, myocarditis, acute flaccid paralysis, and neonatal organ failure (19,27,28,33,40,41). Veterinary picornaviruses, such as foot-and-mouth disease virus (FMDV), encephalomyocarditis virus (EMCV), and porcine teschovirus (PTV), can have devastating effects on livestock (5,8,21).Although picornaviruses such as poliovirus (PV) are known to evolve more rapidly than other viruses with single-stranded RNA (ssRNA) genomes (9, 29), little research has been conducted to investigate how they evolve more rapidly than other viruses with similarly error-prone RNA-dependent RNA polymerases (29, 57) or if certain picornaviruses evolve more rapidly than others. Understanding the evolutionary potentials and constraints of these important pathogens is imperative for the development of durable vaccines and effective treatment plans for individual pathogens (42). As even small, 3-fold differences in RNA virus mutation rates can have dramatic consequences, such as driving a population into lethal mutagenesis (7), similar differences in long-term evolutionary rates could indicate significantly dissimilar evolutionary potentials.While viral evolutionary rates were previously calculated only by linear regression, modern simulation software such as BEAST (11) allows for the estimation of more complex models of viral evolution. These Bayesian coalescent programs can produce both estimated mean rates of evolution and 95% credibility intervals (CIs) that provide a measure of the variability around mean rates. Instead of comparing single-point estimates, now nonoverlapping CIs provide the strongest evidence that genes or organisms are evolving at different rates (11). Many substitution rate estimates have been published for picornaviruses, especially for the antigenically significant VP1 gene, which encodes the most external of the picornavirus structural proteins and interacts with cellular receptors (37,49). Based on sequence availability in GenBank, four novel analyses were conducted, measuring the rate of evolution of the VP1 gene for two enteroviruses and producing the first rate estimates for the type species of the genera Cardiovirus and Teschoviru...