Resistant Traits in Digital Organisms Do Not Revert Preselection Status despite Extended Deselection: Implications to Microbial Antibiotics Resistance

Table 1

Estimated number of generations after selection that are needed to lose fitness traits. Regression models are generated from gradual loss of fitness after withdrawal of selection pressure (generation 2000 to 5200) as initial fitness loss (generation 201 to 1999) may overestimate the rate of fitness loss. These regression models were generated using only data from FPS.

	Target sequence	Regression model	Estimated generations needed to lose fitness
Average top fitness	7x0	(−95% CI) Fitness = 62.4 − 0.000017 generation	1,290,000
		(Mean) Fitness = 62.4 − 0.000001 generation	21,800,000
		(+95% CI) Fitness = 62.4 + 0.000017 generation	Infinity
	9x0	(−95% CI) Fitness = 65.5 − 0.000107 generation	233000
		(Mean) Fitness = 65.5 + 0.000119 generation	Infinity
		(+95% CI) Fitness = 65.5 + 0.000345 generation	Infinity
	11x0	(−95% CI) Fitness = 67.3 − 0.000061 generation	438,000
		(Mean) Fitness = 67.3 + 0.000021 generation	Infinity
		(+95% CI) Fitness = 67.3 + 0.000292 generation	Infinity
Average population fitness	5x0	(−95% CI) Fitness = 47.3 − 0.000044 generation	152,000
		(Mean) Fitness = 47.3 + 0.000016 generation	Infinity
		(+95% CI) Fitness = 47.3 + 0.000076 generation	Infinity
	7x0	(−95% CI) Fitness = 53.2 − 0.000058 generation	217,000
		(Mean) Fitness = 53.2 + 0.000060 generation	Infinity
		(+95% CI) Fitness = 53.2 + 0.000178 generation	Infinity
	9x0	(−95% CI) Fitness = 54.5 − 0.000179 generation	78,000
		(Mean) Fitness = 54.5 − 0.000021 generation	661,000
		(+95% CI) Fitness = 54.5 + 0.000137 generation	Infinity
	11x0	(−95% CI) Fitness = 54.7 − 0.000081 generation	175,000
		(Mean) Fitness = 54.7 + 0.000072 generation	Infinity
		(+95% CI) Fitness = 54.7 + 0.000225 generation	Infinity