Strain Fitness in Caulobacter crescentus NA1000 around CCNA_03323

Experiment: L-Asparagine (N)

Only strains with sufficient reads to estimate fitness are shown, but the strain fitness values are still rather noisy and may be biased towards zero. Strains near the edge of a gene are not shown as being associated with that gene (they are in grey). Strains in the central 10-90% of a gene are color coded by the insertion's strand. Usually, "+" means that the selectable marker is encoded on the forward strand, i.e., transcribed rightward.

Per-strain Table

Position	Strand	Gene	LocusTag	Fraction	L-Asparagine (N)
3,503,369	+		CCNA_03322	0.47	-1.8
3,503,370	-		CCNA_03322	0.47	-1.8
3,503,386	+		CCNA_03322	0.48	-2.2
3,503,388	-		CCNA_03322	0.48	-1.8
3,503,398	-		CCNA_03322	0.49	-1.6
3,503,416	-		CCNA_03322	0.50	-0.6
3,503,423	+		CCNA_03322	0.50	-3.1
3,503,431	-		CCNA_03322	0.51	-3.0
3,503,438	+		CCNA_03322	0.51	-1.7
3,503,472	-		CCNA_03322	0.53	-2.3
3,503,481	+		CCNA_03322	0.54	-1.4
3,503,484	-		CCNA_03322	0.54	-4.0
3,503,494	-		CCNA_03322	0.55	-3.1
3,503,529	+		CCNA_03322	0.57	-2.9
3,503,537	-		CCNA_03322	0.57	-1.8
3,503,555	+		CCNA_03322	0.59	-2.0
3,503,572	+		CCNA_03322	0.60	-1.6
3,503,599	-		CCNA_03322	0.61	-2.5
3,503,601	+		CCNA_03322	0.61	-3.6
3,503,608	+		CCNA_03322	0.62	-0.6
3,503,608	-		CCNA_03322	0.62	-1.1
3,503,649	-		CCNA_03322	0.65	-1.0
3,503,661	+		CCNA_03322	0.65	-0.6
3,503,661	+		CCNA_03322	0.65	-2.4
3,503,680	+		CCNA_03322	0.66	-1.9
3,503,681	-		CCNA_03322	0.67	-3.5
3,503,707	+		CCNA_03322	0.68	-0.9
3,503,746	+		CCNA_03322	0.71	-2.3
3,503,764	-				+0.3
3,503,771	+		CCNA_03322	0.72	-1.8
3,503,774	-		CCNA_03322	0.72	-2.2
3,503,780	-		CCNA_03322	0.73	-1.5
3,503,785	+		CCNA_03322	0.73	-3.1
3,503,802	+		CCNA_03322	0.74	-3.3
3,503,856	+		CCNA_03322	0.78	-2.5
3,503,864	-		CCNA_03322	0.78	-1.9
3,503,877	+		CCNA_03322	0.79	-1.6
3,503,916	+		CCNA_03322	0.81	-2.0
3,503,931	-		CCNA_03322	0.82	+0.3
3,503,938	+		CCNA_03322	0.83	-3.0
3,503,945	+		CCNA_03322	0.83	-2.2
3,504,028	+		CCNA_03322	0.88	-1.2
3,504,103	+				-2.6
3,504,103	+				-3.3
3,504,103	+				-1.0
3,504,111	-				-2.0
3,504,111	-				-3.5
3,504,111	-				-2.0
3,504,113	+				-2.0
3,504,169	+				-1.2
3,504,169	+				-2.8
3,504,182	-				-4.0
3,504,226	+				-1.2
3,504,255	-				-1.2
3,504,255	-				-1.5
3,504,324	+				-1.6
3,504,336	+				-1.0
3,504,344	-				-0.7
3,504,344	-				+0.2
3,504,366	-				+1.9
3,504,373	+				-2.7
3,504,379	+				-3.1
3,504,383	-				+0.3
3,504,399	-				-0.2
3,504,430	-				-0.7
3,504,556	-		CCNA_03323	0.16	-3.6
3,504,605	-		CCNA_03323	0.20	+2.6
3,504,605	-		CCNA_03323	0.20	-3.2
3,504,686	+		CCNA_03323	0.27	-2.3
3,504,694	-		CCNA_03323	0.28	-2.7
3,504,695	-		CCNA_03323	0.28	-0.6
3,504,709	+		CCNA_03323	0.29	-2.8
3,504,709	+		CCNA_03323	0.29	-3.0
3,504,712	+		CCNA_03323	0.29	-1.2
3,504,712	-		CCNA_03323	0.29	-3.4
3,504,717	-		CCNA_03323	0.30	-0.8
3,504,717	-		CCNA_03323	0.30	-0.5
3,504,717	-		CCNA_03323	0.30	-2.1
3,504,743	+		CCNA_03323	0.32	-2.4
3,504,751	-		CCNA_03323	0.33	-2.3
3,504,756	-		CCNA_03323	0.33	-2.8
3,504,768	+		CCNA_03323	0.34	-1.4
3,504,776	-		CCNA_03323	0.35	-2.5
3,504,791	+		CCNA_03323	0.36	-1.2
3,504,799	-		CCNA_03323	0.37	-0.9
3,504,799	-		CCNA_03323	0.37	-2.8
3,504,799	-		CCNA_03323	0.37	-1.2
3,504,808	+		CCNA_03323	0.38	-3.2
3,504,824	-		CCNA_03323	0.39	-1.3
3,504,844	-		CCNA_03323	0.41	-3.7
3,504,878	-		CCNA_03323	0.43	-2.1
3,504,881	+		CCNA_03323	0.44	-1.6
3,504,899	-		CCNA_03323	0.45	-3.0
3,504,899	-		CCNA_03323	0.45	-2.6
3,504,939	-		CCNA_03323	0.49	-3.5
3,504,943	+		CCNA_03323	0.49	+0.6
3,504,971	+		CCNA_03323	0.51	-1.5
3,504,982	+		CCNA_03323	0.52	-1.5
3,504,984	-		CCNA_03323	0.52	-2.2
3,504,984	-		CCNA_03323	0.52	-0.7
3,504,990	-		CCNA_03323	0.53	-2.4
3,505,006	+		CCNA_03323	0.54	-0.7
3,505,014	-		CCNA_03323	0.55	-2.2
3,505,025	-		CCNA_03323	0.56	-2.4
3,505,055	+		CCNA_03323	0.58	+1.5
3,505,075	-		CCNA_03323	0.60	-0.2
3,505,148	+		CCNA_03323	0.66	-0.9
3,505,179	-		CCNA_03323	0.69	-2.8
3,505,191	+		CCNA_03323	0.70	-1.3
3,505,191	-		CCNA_03323	0.70	-2.4
3,505,223	-		CCNA_03323	0.72	-3.5
3,505,232	+		CCNA_03323	0.73	+0.6
3,505,232	+		CCNA_03323	0.73	-2.0
3,505,234	-		CCNA_03323	0.73	-0.7
3,505,240	-		CCNA_03323	0.74	-2.7
3,505,252	+		CCNA_03323	0.75	-1.6
3,505,264	+		CCNA_03323	0.76	-1.3
3,505,304	+		CCNA_03323	0.79	-2.6
3,505,363	+		CCNA_03323	0.84	-2.7
3,505,391	-		CCNA_03323	0.86	-2.8
3,505,406	+		CCNA_03323	0.88	-0.4
3,505,414	-		CCNA_03323	0.88	+1.0
3,505,416	+		CCNA_03323	0.89	-0.2
3,505,416	+		CCNA_03323	0.89	-2.4
3,505,416	+		CCNA_03323	0.89	-2.6
3,505,416	+		CCNA_03323	0.89	-1.5
3,505,416	+		CCNA_03323	0.89	-2.3
3,505,419	-		CCNA_03323	0.89	-2.3
3,505,419	-		CCNA_03323	0.89	-2.9
3,505,424	-		CCNA_03323	0.89	-3.6
3,505,424	-		CCNA_03323	0.89	-2.1
3,505,424	-		CCNA_03323	0.89	-2.3
3,505,424	-		CCNA_03323	0.89	-1.2
3,505,424	-		CCNA_03323	0.89	-1.5
3,505,435	+				-1.3
3,505,443	-				-3.4
3,505,443	-				-0.2
3,505,465	+				-2.0
3,505,471	+				+2.6
3,505,473	-				-1.7
3,505,546	+				-3.6
3,505,572	+				-0.2
3,505,574	+				-2.6
3,505,595	-				-1.3
3,505,741	+		CCNA_03324	0.13	+0.3
3,505,812	+		CCNA_03324	0.29	+0.2
3,505,849	-		CCNA_03324	0.38	+0.2
3,505,897	-		CCNA_03324	0.49	+3.1
3,505,897	-		CCNA_03324	0.49	-2.4
3,505,975	-		CCNA_03324	0.67	-1.0
3,506,002	+		CCNA_03324	0.73	-1.4
3,506,036	+		CCNA_03324	0.81	+1.3
3,506,036	+		CCNA_03324	0.81	-0.7
3,506,036	+		CCNA_03324	0.81	-0.9
3,506,036	+		CCNA_03324	0.81	+1.5
3,506,036	+		CCNA_03324	0.81	+0.8
3,506,042	-		CCNA_03324	0.83	+0.7
3,506,044	-		CCNA_03324	0.83	-1.0
3,506,044	-		CCNA_03324	0.83	+0.1
3,506,044	-		CCNA_03324	0.83	-1.5
3,506,044	-		CCNA_03324	0.83	+0.6
3,506,044	-		CCNA_03324	0.83	-0.3
3,506,044	-		CCNA_03324	0.83	+0.9
3,506,104	-				-0.5
3,506,138	-				+1.5
3,506,138	-				+1.1
3,506,150	-				+1.5
3,506,220	-		CCNA_03325	0.10	+1.3
3,506,251	+		CCNA_03325	0.20	-2.7
3,506,296	-		CCNA_03325	0.34	+1.4
3,506,300	+		CCNA_03325	0.35	-3.6
3,506,323	-		CCNA_03325	0.42	+1.6
3,506,335	-		CCNA_03325	0.46	+1.3
3,506,355	-		CCNA_03325	0.52	+2.3
3,506,391	-		CCNA_03325	0.63	+1.0
3,506,423	-		CCNA_03325	0.72	+1.5
3,506,438	-		CCNA_03325	0.77	+0.8
3,506,448	-		CCNA_03325	0.80	+0.9
3,506,496	+				-2.5
3,506,518	+				-1.5