DotKnot uses stack probabilities from the probability dot plot as the basis for finding pseudoknot building blocks. At this stage, only a single sequence is accepted as an input. It is well-known that functional pseudoknots are highly conserved in nature, for example in virus families. The pseudoknot detection framework used in DotKnot allows for incorporation of comparative information using aligned probability dot plots. One can expect that reliable alignments will greatly improve confidence in the predicted pseudoknots. Especially for complex pseudoknot foldings such as those found in bacterial tmRNA or in the telomerase RNA component, inclusion of comparative information will be invaluable. Risk of Importing Zoonotic Diseases through Wildlife Trade, United States The United States is the world’s largest wildlife importer, and imported wild animals represent a potential source of zoonotic pathogens. Using data on mammals imported during 2000–2005, we assessed their potential to host 27 selected risk zoonoses and created a risk assessment that could inform policy making for wildlife importation and zoonotic disease surveillance. A total of 246,772 mammals in 190 genera (68 families) were imported. The most widespread agents of risk zoonoses were rabies virus (in 78 genera of mammals), Bacillus anthracis (57), Mycobacterium tuberculosis complex (48), Echinococcus spp. (41), and Leptospira spp. (35). Genera capable of harboring the greatest number of risk zoonoses were Canis and Felis (14 each), Rattus (13), Equus (11), and Macaca and Lepus (10 each). These findings demonstrate the myriad opportunities for zoonotic pathogens to be imported and suggest that, to ensure public safety, immediate proactive changes are needed at multiple levels. M ost emerging infectious diseases are caused by zoonotic pathogens (1, 2) . The number and proportion of these diseases that originate in wild animals in particular has increased substantially in the past few decades, even after accounting for increased reports of new emerging infectious diseases (1) . This trend and recent pandemics of wildlife-origin infectious diseases (e.g., HIV, severe acute respiratory syndrome) suggest that targeted surveillance efforts should focus on activities that bring humans and wildlife in close contact (1, 3) .