TABLE 4.

Statistical analysis of the differences in HIV-1 RT and PFV RT fidelity

	HIV-1	PFV
Transversions	0.33%	0.50%	p= 0.077
Transitions	0.80%	0.50%	p= 0.013
Frameshifts	0.14%	0.36%	p= 0.002
Short deletions, additions	0.03%	0.30%	p< 0.001
Deletions	0.02%	1.08%	p< 0.001
Repeats	0.01%	0.23%	p< 0.001
Total	1.33%	2.97%	p< 0.001

Analysis of the mutations generated by HIV-1 RT and PFV RT. The percentage of each type of mutation is derived by dividing the number of mutations of each type by the total number of colonies screened. A test of independent proportions was done to see if the number of each type of mutation generated by HIV-1 RT and PFV RT are statistically different from each other. The statistical tests of independent proportions were done using two-sided Fisher’s Exact Tests using SAS Proc Freq. A p-value < 0.05 declares that the differences are statistically significant.