Antibiotic resistance has become one of the greatest threats to public and patient health. Pathogens resistant to antibiotics can significantly decrease a physician's ability to treat infection and increase the probability of mortality in patients [3]. Estimates are that, per annum, a minimum of two million Americans contract antibiotic resistant infections, resulting in 23,000 deaths [18]. Decreases in the efficacy of antibiotics threaten to reverse a variety of major medical gains [60,85]. For example, the ability to perform transplants and other surgical procedures are dependent on antibiotic effectiveness [28] and would be severely hampered in a post-antibiotic world. Overall, the annual economic cost to the US health care system of antibiotic-resistant infections is estimated to be $21-$34 billion [34,64,70]. Given the importance of this problem, from standpoints both of human health and economics, there is much to be gained from better understanding how resistant bacterial pathogens evolve and