#METABOLOMICS WORKBENCH michaelsa93_20160504_172828 DATATRACK_ID:616 STUDY_ID:ST000394 ANALYSIS_ID:AN000631 PROJECT_ID:PR000308
VERSION             	1
CREATED_ON             	May 10, 2016, 12:30 pm
#PROJECT
PR:PROJECT_TITLE                 	The circadian oscillator in Synechococcus elongatus controls metabolite
PR:PROJECT_TITLE                 	partitioning during diurnal growth
PR:PROJECT_SUMMARY               	Cyanobacteria are increasingly being considered for use in large-scale outdoor
PR:PROJECT_SUMMARY               	production of fuels and industrial chemicals. Cyanobacteria can anticipate daily
PR:PROJECT_SUMMARY               	changes in light availability using an internal circadian clock and rapidly
PR:PROJECT_SUMMARY               	alter their metabolic processes in response to changes light availability.
PR:PROJECT_SUMMARY               	Understanding how signals from the internal circadian clock and external light
PR:PROJECT_SUMMARY               	availability are integrated to control metabolic shifts will be important for
PR:PROJECT_SUMMARY               	engineering cyanobacteria for production in natural outdoor environments. This
PR:PROJECT_SUMMARY               	study has assessed how “knowing” the correct time of day, via the circadian
PR:PROJECT_SUMMARY               	clock, affects metabolic changes when a cyanobacterium goes through a
PR:PROJECT_SUMMARY               	dark-to-light transition. Our data show that the circadian clock plays an
PR:PROJECT_SUMMARY               	important role in inhibiting activation of the oxidative pentose phosphate
PR:PROJECT_SUMMARY               	pathway in the morning. Synechococcus elongatus PCC 7942 is a genetically
PR:PROJECT_SUMMARY               	tractable model cyanobacterium that has been engineered to produce industrially
PR:PROJECT_SUMMARY               	relevant biomolecules and is the best-studied model for a prokaryotic circadian
PR:PROJECT_SUMMARY               	clock. However, the organism is commonly grown in continuous light in the
PR:PROJECT_SUMMARY               	laboratory, and data on metabolic processes under diurnal conditions are
PR:PROJECT_SUMMARY               	lacking. Moreover, the influence of the circadian clock on diurnal metabolism
PR:PROJECT_SUMMARY               	has been investigated only briefly. Here, we demonstrate that the circadian
PR:PROJECT_SUMMARY               	oscillator influences rhythms of metabolism during diurnal growth, even though
PR:PROJECT_SUMMARY               	light–dark cycles can drive metabolic rhythms independently. Moreover, the
PR:PROJECT_SUMMARY               	phenotype associated with loss of the core oscillator protein, KaiC, is distinct
PR:PROJECT_SUMMARY               	from that caused by absence of the circadian output transcriptional regulator,
PR:PROJECT_SUMMARY               	RpaA (regulator of phycobilisome-associated A). Although RpaA activity is
PR:PROJECT_SUMMARY               	important for carbon degradation at night, KaiC is dispensable for those
PR:PROJECT_SUMMARY               	processes. Untargeted metabolomics analysis and glycogen kinetics suggest that
PR:PROJECT_SUMMARY               	functional KaiC is important for metabolite partitioning in the morning.
PR:PROJECT_SUMMARY               	Additionally, output from the oscillator functions to inhibit RpaA activity in
PR:PROJECT_SUMMARY               	the morning, and kaiC-null strains expressing a mutant KaiC phosphomimetic,
PR:PROJECT_SUMMARY               	KaiC-pST, in which the oscillator is locked in the most active output state,
PR:PROJECT_SUMMARY               	phenocopies a ΔrpaA strain. Inhibition of RpaA by the oscillator in the morning
PR:PROJECT_SUMMARY               	suppresses metabolic processes that normally are active at night, and kaiC-null
PR:PROJECT_SUMMARY               	strains show indications of oxidative pentose phosphate pathway activation as
PR:PROJECT_SUMMARY               	well as increased abundance of primary metabolites. Inhibitory clock output may
PR:PROJECT_SUMMARY               	serve to allow secondary metabolite biosynthesis in the morning, and some
PR:PROJECT_SUMMARY               	metabolites resulting from these processes may feed back to reinforce clock
PR:PROJECT_SUMMARY               	timing.
PR:INSTITUTE                     	University of California, Davis
PR:DEPARTMENT                    	Genome and Biomedical Sciences Facility
PR:LABORATORY                    	WCMC Metabolomics Core
PR:LAST_NAME                     	Fiehn
PR:FIRST_NAME                    	Oliver
PR:ADDRESS                       	1315 Genome and Biomedical Sciences Facility, 451 Health Sciences Drive, Davis,
PR:ADDRESS                       	CA 95616
PR:EMAIL                         	ofiehn@ucdavis.edu
PR:PHONE                         	(530) 754-8258
PR:FUNDING_SOURCE                	NIH U24DK097154
PR:PUBLICATIONS                  	doi: 10.1073/pnas.1504576112
#STUDY
ST:STUDY_TITLE                   	The circadian oscillator in Synechococcus elongatus controls metabolite
ST:STUDY_TITLE                   	partitioning during diurnal growth
ST:STUDY_SUMMARY                 	Cyanobacteria are increasingly being considered for use in large-scale outdoor
ST:STUDY_SUMMARY                 	production of fuels and industrial chemicals. Cyanobacteria can anticipate daily
ST:STUDY_SUMMARY                 	changes in light availability using an internal circadian clock and rapidly
ST:STUDY_SUMMARY                 	alter their metabolic processes in response to changes light availability.
ST:STUDY_SUMMARY                 	Understanding how signals from the internal circadian clock and external light
ST:STUDY_SUMMARY                 	availability are integrated to control metabolic shifts will be important for
ST:STUDY_SUMMARY                 	engineering cyanobacteria for production in natural outdoor environments. This
ST:STUDY_SUMMARY                 	study has assessed how “knowing” the correct time of day, via the circadian
ST:STUDY_SUMMARY                 	clock, affects metabolic changes when a cyanobacterium goes through a
ST:STUDY_SUMMARY                 	dark-to-light transition. Our data show that the circadian clock plays an
ST:STUDY_SUMMARY                 	important role in inhibiting activation of the oxidative pentose phosphate
ST:STUDY_SUMMARY                 	pathway in the morning. Synechococcus elongatus PCC 7942 is a genetically
ST:STUDY_SUMMARY                 	tractable model cyanobacterium that has been engineered to produce industrially
ST:STUDY_SUMMARY                 	relevant biomolecules and is the best-studied model for a prokaryotic circadian
ST:STUDY_SUMMARY                 	clock. However, the organism is commonly grown in continuous light in the
ST:STUDY_SUMMARY                 	laboratory, and data on metabolic processes under diurnal conditions are
ST:STUDY_SUMMARY                 	lacking. Moreover, the influence of the circadian clock on diurnal metabolism
ST:STUDY_SUMMARY                 	has been investigated only briefly. Here, we demonstrate that the circadian
ST:STUDY_SUMMARY                 	oscillator influences rhythms of metabolism during diurnal growth, even though
ST:STUDY_SUMMARY                 	light–dark cycles can drive metabolic rhythms independently. Moreover, the
ST:STUDY_SUMMARY                 	phenotype associated with loss of the core oscillator protein, KaiC, is distinct
ST:STUDY_SUMMARY                 	from that caused by absence of the circadian output transcriptional regulator,
ST:STUDY_SUMMARY                 	RpaA (regulator of phycobilisome-associated A). Although RpaA activity is
ST:STUDY_SUMMARY                 	important for carbon degradation at night, KaiC is dispensable for those
ST:STUDY_SUMMARY                 	processes. Untargeted metabolomics analysis and glycogen kinetics suggest that
ST:STUDY_SUMMARY                 	functional KaiC is important for metabolite partitioning in the morning.
ST:STUDY_SUMMARY                 	Additionally, output from the oscillator functions to inhibit RpaA activity in
ST:STUDY_SUMMARY                 	the morning, and kaiC-null strains expressing a mutant KaiC phosphomimetic,
ST:STUDY_SUMMARY                 	KaiC-pST, in which the oscillator is locked in the most active output state,
ST:STUDY_SUMMARY                 	phenocopies a ΔrpaA strain. Inhibition of RpaA by the oscillator in the morning
ST:STUDY_SUMMARY                 	suppresses metabolic processes that normally are active at night, and kaiC-null
ST:STUDY_SUMMARY                 	strains show indications of oxidative pentose phosphate pathway activation as
ST:STUDY_SUMMARY                 	well as increased abundance of primary metabolites. Inhibitory clock output may
ST:STUDY_SUMMARY                 	serve to allow secondary metabolite biosynthesis in the morning, and some
ST:STUDY_SUMMARY                 	metabolites resulting from these processes may feed back to reinforce clock
ST:STUDY_SUMMARY                 	timing.
ST:INSTITUTE                     	University of California, Davis
ST:DEPARTMENT                    	Genome and Biomedical Sciences Facility
ST:LABORATORY                    	WCMC Metabolomics Core
ST:LAST_NAME                     	Fiehn
ST:FIRST_NAME                    	Oliver
ST:ADDRESS                       	1315 Genome and Biomedical Sciences Facility, 451 Health Sciences Drive, Davis,
ST:ADDRESS                       	CA 95616
ST:EMAIL                         	ofiehn@ucdavis.edu
ST:PHONE                         	(530) 754-8258
ST:STUDY_COMMENTS                	The first 4 samples were a test run to see how efficient the analysis was and
ST:STUDY_COMMENTS                	were run on a lipidomics platform. The next 12 samples were the used in the
ST:STUDY_COMMENTS                	paper and were the same as the original 4 samples, but they were split into 3
ST:STUDY_COMMENTS                	biological replicates and run on the GC platform.
ST:PUBLICATIONS                  	doi: 10.1073/pnas.1504576112
#SUBJECT
SU:SUBJECT_TYPE                  	Cells
SU:SUBJECT_SPECIES               	Synechococcus elongatus PCC 7942
SU:TAXONOMY_ID                   	1140
#SUBJECT_SAMPLE_FACTORS:         	SUBJECT(optional)[tab]SAMPLE[tab]FACTORS(NAME:VALUE pairs separated by |)[tab]Additional sample data
SUBJECT_SAMPLE_FACTORS           	WT T0	SDiamInj04_WT T0_CSH.d	Genotype:WT | Time Point:-	
SUBJECT_SAMPLE_FACTORS           	WT T4	SDiamInj05_WT T4_CSH.d	Genotype:WT | Time Point:4	
SUBJECT_SAMPLE_FACTORS           	KaiC T0	SDiamInj03_KaiC T0_CSH.d	Genotype:KaiC mutant | Time Point:-	
SUBJECT_SAMPLE_FACTORS           	KaiC T4	SDiamInj02_KaiC T4_CSH.d	Genotype:KaiC mutant | Time Point:4	
#COLLECTION
CO:COLLECTION_SUMMARY            	Bacteria were grown in a turbidostat/bioreactor at equal cell density (measured
CO:COLLECTION_SUMMARY            	by optical density at 750nm), under a 12:12h Light/Dark cycle. After collection
CO:COLLECTION_SUMMARY            	samples were immediately placed on ice and then centrifuged at 5000RPM for 10min
CO:COLLECTION_SUMMARY            	at ­4 degrees Celsius. After centrifugation supernatant was decanted and cell
CO:COLLECTION_SUMMARY            	pellets were immediately frozen in liquid N2.
CO:COLLECTION_PROTOCOL_FILENAME  	StudyDesign-SpencerDiamond-10814.pdf
CO:SAMPLE_TYPE                   	Cell
CO:COLLECTION_TIME               	Samples were collected at T0 (beginning of day) and T4 (4h into day).
CO:VOLUMEORAMOUNT_COLLECTED      	40ml of sample was collected at each time point
CO:STORAGE_CONDITIONS            	Samples were put into a 50mL conical tube containing ice up to the 30ml mark.
#TREATMENT
TR:TREATMENT_SUMMARY             	2: WT bacteria and KaiC mutant The phenotype associated with loss of the core
TR:TREATMENT_SUMMARY             	oscillator protein, KaiC, is distinct from that caused by absence of the
TR:TREATMENT_SUMMARY             	circadian output transcriptional regulator, RpaA (regulator of
TR:TREATMENT_SUMMARY             	phycobilisome-associated A). Untargeted metabolomics analysis and glycogen
TR:TREATMENT_SUMMARY             	kinetics suggest that functional KaiC is important for metabolite partitioning
TR:TREATMENT_SUMMARY             	in the morning. Additionally, output from the oscillator functions to inhibit
TR:TREATMENT_SUMMARY             	RpaA activity in the morning, and kaiC-null strains expressing a mutant KaiC
TR:TREATMENT_SUMMARY             	phosphomimetic, KaiC-pST, in which the oscillator is locked in the most active
TR:TREATMENT_SUMMARY             	output state, phenocopies a ΔrpaA strain. KaiC-null strains show indications of
TR:TREATMENT_SUMMARY             	oxidative pentose phosphate pathway activation as well as increased abundance of
TR:TREATMENT_SUMMARY             	primary metabolites. Inhibitory clock output may serve to allow secondary
TR:TREATMENT_SUMMARY             	metabolite biosynthesis in the morning, and some metabolites resulting from
TR:TREATMENT_SUMMARY             	these processes may feed back to reinforce clock timing.
TR:TREATMENT_PROTOCOL_FILENAME   	StudyDesign-SpencerDiamond-10814.pdf
#SAMPLEPREP
SP:SAMPLEPREP_SUMMARY            	1. Add 0.5mL of extraction solvent to tube, gently pipet to remove all cells,
SP:SAMPLEPREP_SUMMARY            	transfer cells to 2mL eppendorf tube. Repeat for a total of 1mL extraction
SP:SAMPLEPREP_SUMMARY            	solvent + cells in 2mL eppendorf tube. 2. Add 2 small stainless steel grinding
SP:SAMPLEPREP_SUMMARY            	beads to eppendorf tube 3. Use the GenoGrinder to grind for 3 minutes at 1,250
SP:SAMPLEPREP_SUMMARY            	rpm. 4. Centrifuge at 14,000xg for 5 minutes. 5. Transfer supernatant to a fresh
SP:SAMPLEPREP_SUMMARY            	2mL eppendorf tube. 6. Add 1mL of extraction solvent to tube containing cell
SP:SAMPLEPREP_SUMMARY            	pellet + beads, and repeat steps 3 and 4. 7. Collect supernatant, and combine
SP:SAMPLEPREP_SUMMARY            	with supernatant collected in step 5. Total volume of extracted sample will be
SP:SAMPLEPREP_SUMMARY            	approximately 2mL. 8. Dry down 50uL of extracted sample in 1.5mL eppendorf tube
SP:SAMPLEPREP_SUMMARY            	for GC-TOF analysis. 9. Store backups in -20 or -80C.
SP:SAMPLEPREP_PROTOCOL_FILENAME  	SOP_Extraction_of_Yeast_Cells.pdf
#CHROMATOGRAPHY
CH:CHROMATOGRAPHY_TYPE           	Reversed phase
CH:INSTRUMENT_NAME               	Agilent 6550
CH:COLUMN_NAME                   	Waters Acquity CSH C18 (100 x 2.1mm, 1.7um)
CH:COLUMN_NAME                   	1.7um Pre-Column
CH:FLOW_GRADIENT                 	15% B to 99%B
CH:FLOW_RATE                     	0.6 mL/min
CH:COLUMN_TEMPERATURE            	65 C
CH:METHODS_FILENAME              	Data_Dictionary_Fiehn_laboratory_CSH_QTOF_lipidomics_05-29-2014.pdf
CH:SOLVENT_A                     	60:40 Acetonitrile:Water +10mM Ammonium Acetate +10mM Acetic Acid
CH:SOLVENT_B                     	9:1 Isopropanol:Acetonitrile +10mM Ammonium Acetate +10mM Acetic Acid
CH:COLUMN_PRESSURE               	450-850 bar
CH:INTERNAL_STANDARD             	See data dictionary
CH:RETENTION_TIME                	See data dictionary
CH:SAMPLE_INJECTION              	5 uL
CH:ANALYTICAL_TIME               	13 min
CH:CAPILLARY_VOLTAGE             	3500 V
CH:TIME_PROGRAM                  	15 min
CH:WEAK_WASH_SOLVENT_NAME        	Isopropanol
CH:STRONG_WASH_SOLVENT_NAME      	Isopropanol
CH:TARGET_SAMPLE_TEMPERATURE     	Autosampler temp 4 C
CH:RANDOMIZATION_ORDER           	Excel generated
#ANALYSIS
AN:ANALYSIS_TYPE                 	MS
AN:LABORATORY_NAME               	WCMC Metabolomics Core
AN:SOFTWARE_VERSION              	MassHunter
AN:DATA_FORMAT                   	.d
#MS
MS:MS_COMMENTS                   	-
MS:INSTRUMENT_NAME               	Agilent 6550 QTOF
MS:INSTRUMENT_TYPE               	QTOF
MS:MS_TYPE                       	ESI
MS:ION_MODE                      	NEGATIVE
MS:CAPILLARY_VOLTAGE             	3500 V
MS:COLLISION_GAS                 	Nitrogen
MS:DRY_GAS_FLOW                  	13 L/min
MS:DRY_GAS_TEMP                  	200 C
MS:FRAGMENT_VOLTAGE              	175 V
MS:FRAGMENTATION_METHOD          	Auto MS/MS
MS:ION_SOURCE_TEMPERATURE        	325 C
MS:ION_SPRAY_VOLTAGE             	1000 V
MS:IONIZATION                    	Neg
MS:PRECURSOR_TYPE                	Intact Molecule
MS:REAGENT_GAS                   	Nitrogen
MS:SOURCE_TEMPERATURE            	325 C
MS:DATAFORMAT                    	.d
MS:DESOLVATION_GAS_FLOW          	11 L/min
MS:DESOLVATION_TEMPERATURE       	350 C
MS:NEBULIZER                     	35 psig
MS:OCTPOLE_VOLTAGE               	750 V
MS:RESOLUTION_SETTING            	extended dynamic range
MS:SCAN_RANGE_MOVERZ             	60-1700 Da
MS:SCANNING_CYCLE                	2 Hz
MS:SCANNING_RANGE                	60-1700 Da
MS:SKIMMER_VOLTAGE               	65 V
#MS_METABOLITE_DATA
MS_METABOLITE_DATA:UNITS         	counts
MS_METABOLITE_DATA_START
Samples	SDiamInj04_WT T0_CSH.d	SDiamInj05_WT T4_CSH.d	SDiamInj03_KaiC T0_CSH.d	SDiamInj02_KaiC T4_CSH.d
Factors	Genotype:WT | Time Point:-	Genotype:WT | Time Point:4	Genotype:KaiC mutant | Time Point:-	Genotype:KaiC mutant | Time Point:4
6.36_600.51 _6.55_610.54	1168	1696	138	166
7.06_628.54	482	1400	511	1899
7.74_656.58 _7.91_666.6	683	2919	290	411
7.08_654.56	26944	28181	12103	26095
8.59_686.62 _8.59_696.65	627	281	548	592
8.37_684.61 _8.52_694.64	507	413	567	860
7.70_682.59	1643	132	1272	1123
7.82_682.59	1643	1306	1272	983
3.25_255.23	905119	772285	781081	926266
2.71_253.22	1257187	751318	750167	1088699
3.82_283.26	1621523	1347303	1765982	1487258
3.34_281.25	710786	639535	478504	768694
2.94_279.23	73813	81909	52901	85818
6.39_790.60	114421	134355	161828	239565
7.04_844.65	88	87	9706	115766
4.97_750.53	71594	66869	69011	102671
1.01_512.3	56		70	48
1.46_530.30	774	860	494	739
1.21_554.30	344	4360	312	6940
1.22_524.28	2872	2352	831	2265
5.4_790.56	83	1933	59	2185
4.87_788.55	1514	1364	1569	1170
6.29_806.59	417	440	554	574
5.54_794.55 _5.73_804.58	3176	2848	3366	3060
5.22_792.54 _5.22_802.56 _5.22_742.54	287	697	2372	471
5.72_820.56 _5.89_830.59	1210	1331	1567	1875
4.95_850.56	7268	6290	5578	7526
5.43_868.56	880	827	754	694
5.12_878.59	14157	13425	16131	23070
5.55_878.59	18554	17273	20819	30533
4.88_876.58	160753	143844	653	136053
4.59_874.56	29555	27376	30126	37369
6.05_788.58	1288	44298	45695	1359
5.51_786.56	18483	17130	40033	47836
5.23_800.84	648	398	1100	763
5.4_714.51	1704	1091	215	920
6.03_742.54	5667	5163	3510	4694
5.3_738.51	37307	35175	28138	27605
5.11_766.54	1591	1345	1584	1811
5.93_766.54	36699	38177	42457	48163
5.11_762.51	452389	419547	369032	459132
4.96_790.54	80307	71697	67318	78700
5.72_698.51	42	180	923	1415
5.13_720.5	864	733	684	522
5.65_748.53	3370	2669	303	2648
6.3_776.56	1372	1470	2180	2094
5.48_772.53	1862	15649	339	18848
4.47_807.5	36398	35423	11355	13988
5.06_835.53	485	79	512	1124
4.6_833.52	1053	697	519	1054
5.16_861.55	18713	17507	14788	16994
4.75_859.53	655	745	472	643
3.13_367.27	3802	2500	4768	3741
5.08_962.53	2234	2907	468	2023
5.33_964.55	659	1433	502	216
5.56_843.58	112	43	2052	187
5.81_834.61	54	32	1390	1813
0.62_329.23	886	784	733	804
4.91_1019.51	2987	3008	146	343
5.37_1032.537	3023	2566	2578	3775
5.61_1047.55	817	699	446	563
5.88_960.55	628	540	350	509
5.88_1096.52	1085	1058	479	1031
1.27_632.32	1293	1491	201	1914
4.25_794.51	552347	509892	480493	602667
5.73_872.57	1313	1312	1232	1318
6.06_1060.57	1691	1719	511	466
6.08_924.6		86	1390	2105
5.81_990.57	533	555	351	624
4.17_709.51	446	405	650	514
4.17_787.52	1472	701	700	681
4.26_685.53	259	1157	362	2276
4.26_881.52	276	155	275	159
4.26_813.54	107	102	326	255
4.26_793.48				
4.26_803.51	466	5993	440	595
4.27_722.50	111437	119729	174450	221360
4.27_735.52	14130	13232	1900	2402
4.34_898.55	12663	723	10171	11748
4.47_774.53	135	3476	220	310
4.53_836.54	571	501	384	566
4.58_763.56	159	2353	70	1265
4.66_790.52	822	126	398	1298
4.65_840.53	987	363	662	350
4.58_892.53	1975	1576	411	924
4.76_737.54	1906	2287	3266	3039
4.76_815.55	126	2787	395	743
4.76_805.52	819	590	7609	6059
4.82_986.53	661	900	747	672
4.87_713.56	2211	1642	2256	2401
4.93_953.53	943	624	457	824
4.96_1667.11	92	1478	5840	11012
4.98_911.56	286	80	624	1105
5.05_834.57	229	400	1205	4039
5.07_870.55	894	1028	1188	1098
5.07_746.51	11321	11469	10948	557
5.05_788.52	637070	593566	564968	655123
5.42_833.56	527	474	1591	3735
5.43_946.58	518	509	560	786
5.43_936.55	1519	249	1682	2366
5.73_956.54	2123	2033	644	1454
6.00_814.60	474	169	237	1264
6.21_900.60	608	701	821	900
MS_METABOLITE_DATA_END
#METABOLITES
METABOLITES_START
metabolite_name	Batch RT	Batch m/z	KEGG ID	Pubchem ID
6.36_600.51 _6.55_610.54	6.369	600.5129 _624.5567
7.06_628.54	7.093	628.5441
7.74_656.58 _7.91_666.6	7.784	656.5756 _680.6193
7.08_654.56	7.176	654.5597
8.59_686.62 _8.59_696.65	8.641	686.6212 _710.6667
8.37_684.61 _8.52_694.64	8.424	684.61 _708.6507
7.70_682.59	7.742	682.591
7.82_682.59	8.036	682.591
3.25_255.23	2.447	255.233
2.71_253.22	1.801	253.2173
3.82_283.26	3.215	283.2643
3.34_281.25	2.663	281.2486
2.94_279.23	2.033	279.2331
6.39_790.60	6.411	790.5969
7.04_844.65	7.085	844.6453
4.97_750.53	5	750.5285
1.01_512.3	0.95	526.3151
1.46_530.30	1.753	530.3016
1.21_554.30	1.288	554.301
1.22_524.28	1.238	524.2785
5.4_790.56	5.218	804.5761
4.87_788.55	4.698	802.5599
6.29_806.59	6.225	820.6068
5.54_794.55 _5.73_804.58	5.531	794.547 _818.5917
5.22_792.54 _5.22_802.56 _5.22_742.54	5.027	792.5396 _816.5761 _742.5392
5.72_820.56 _5.89_830.59	5.706	820.5603 _844.6074
4.95_850.56	4.85	864.5761
5.43_868.56	5.396	868.5622
5.12_878.59	5.5	892.6076
5.55_878.59	5.406	892.6076
4.88_876.58	4.788	890.5905
4.59_874.56	4.5	888.5756
6.05_788.58	5.909	802.5968
5.51_786.56	5.326	800.5804
5.23_800.84	5.038	814.554
5.4_714.51	5.218	714.5079
6.03_742.54	5.967	742.5392
5.3_738.51	5.108	738.5079
5.11_766.54	4.918	766.5392
5.93_766.54	5.789	766.5392
5.11_762.51	4.927	762.5079
4.96_790.54	5	790.5392
5.72_698.51	5.539	698.5127
5.13_720.5	4.969	720.4974
5.65_748.53	5.473	748.5287
6.3_776.56	6.192	776.5605
5.48_772.53	5.293	772.5281
4.47_807.5	4.278	807.5028
5.06_835.53	4.861	835.5342
4.6_833.52	4.1	833.5186
5.16_861.55	4.6	861.5499
4.75_859.53	4.558	859.5332
3.13_367.27	3.117	367.2651
5.08_962.53	4.894	962.5318
5.33_964.55	5.208	964.5477
5.56_843.58	5.416	843.5818
5.81_834.61	5.696	834.605
0.62_329.23	0.521	329.2335
4.91_1019.51	4.694	1019.5142
5.37_1032.537	5.208	1032.537
5.61_1047.55	5.446	1047.5458
5.88_960.55	5.714	960.5485
5.88_1096.52	5.714	1096.5231
1.27_632.32	1.288	632.3182
4.25_794.51	4.257	794.5094
5.73_872.57	5.522	872.5658
6.06_1060.57	5.942	1060.5676
6.08_924.6	5.938	924.5971
5.81_990.57	5.597	990.5658
4.17_709.51	4.291	709.5054
4.17_787.52	4.291	787.5207
4.26_685.53	4.399	685.5282
4.26_881.52	4.399	881.519
4.26_813.54	4.399	813.5371
4.26_793.48	4.407	793.4793
4.26_803.51	4.39	803.507
4.27_722.50	4.39	722.4968
4.27_735.52	4.399	735.5206
4.34_898.55	4.237	898.5527
4.47_774.53	4.386	774.5279
4.53_836.54	4.428	836.5433
4.58_763.56	4.528	763.5617
4.66_790.52	4.608	790.5178
4.65_840.53	4.508	840.5323
4.58_892.53	4.511	892.5322
4.76_737.54	4.719	737.5368
4.76_815.55	4.719	815.5531
4.76_805.52	4.708	805.524
4.82_986.53	4.777	986.5317
4.87_713.56	4.844	713.5584
4.93_953.53	4.944	953.533
4.96_1667.11	4.935	1667.1055
4.98_911.56	4.96	911.562
5.05_834.57	5.013	834.5648
5.07_870.55	5.035	870.5464
5.07_746.51	5.227	746.5129
5.05_788.52	5.002	788.5232
5.42_833.56	5.431	833.5551
5.43_946.58	5.396	946.5771
5.43_936.55	5.396	936.548
5.73_956.54	5.73	956.5369
6.00_814.60	6.075	814.5959
6.21_900.60	6.22	900.5948
METABOLITES_END
#END