#METABOLOMICS WORKBENCH kcontrep_20210805_144954 DATATRACK_ID:2788 STUDY_ID:ST001898 ANALYSIS_ID:AN003083
VERSION                          	1
CREATED_ON                       	12-15-2022
#PROJECT
PR:PROJECT_TITLE                 	Untargeted lipidomics study of African killifish embryos
PR:PROJECT_SUMMARY               	Untargeted lipidomics study of African killifish embryos in the context of
PR:PROJECT_SUMMARY               	diapause
PR:INSTITUTE                     	Stanford University
PR:LAST_NAME                     	Contrepois
PR:FIRST_NAME                    	Kevin
PR:ADDRESS                       	300 Pasteur Dr
PR:EMAIL                         	kcontrep@stanford.edu
PR:PHONE                         	6506664538
PR:DOI                           	http://dx.doi.org/10.21228/M8CD8G
#STUDY
ST:STUDY_TITLE                   	Evolution of diapause in the African killifish by remodeling ancient gene
ST:STUDY_TITLE                   	regulatory landscape
ST:STUDY_SUMMARY                 	Suspended animation (e.g. hibernation, diapause) allows organisms to survive
ST:STUDY_SUMMARY                 	extreme environments. But the mechanisms underlying the evolution of suspended
ST:STUDY_SUMMARY                 	animation states are unknown. The African turquoise killifish has evolved
ST:STUDY_SUMMARY                 	diapause as a form of suspended development to survive the complete drought that
ST:STUDY_SUMMARY                 	occurs every summer. Here, we show that gene duplicates – paralogs – exhibit
ST:STUDY_SUMMARY                 	specialized expression in diapause compared to normal development in the African
ST:STUDY_SUMMARY                 	turquoise killifish. Surprisingly, paralogs with specialized expression in
ST:STUDY_SUMMARY                 	diapause are evolutionarily very ancient and are present even in vertebrates
ST:STUDY_SUMMARY                 	that do not exhibit diapause. To determine if evolution of diapause is due to
ST:STUDY_SUMMARY                 	the regulatory landscape rewiring at ancient paralogs, we assessed chromatin
ST:STUDY_SUMMARY                 	accessibility genome-wide in fish species with or without diapause. This
ST:STUDY_SUMMARY                 	analysis revealed an evolutionary recent increase in chromatin accessibility at
ST:STUDY_SUMMARY                 	very ancient paralogs in African turquoise killifish. The increase in chromatin
ST:STUDY_SUMMARY                 	accessibility is linked to the presence of new binding sites for transcription
ST:STUDY_SUMMARY                 	factors, likely due to de novo mutations and transposable element (TE)
ST:STUDY_SUMMARY                 	insertion. Interestingly, accessible chromatin regions in diapause are enriched
ST:STUDY_SUMMARY                 	for lipid metabolism genes, and our lipidomics studies uncover a striking
ST:STUDY_SUMMARY                 	difference in lipid species in African turquoise killifish diapause, which could
ST:STUDY_SUMMARY                 	be critical for long-term survival. Together, our results show that diapause
ST:STUDY_SUMMARY                 	likely originated by repurposing pre-existing gene programs via recent changes
ST:STUDY_SUMMARY                 	in the regulatory landscape. This work raises the possibility that suspended
ST:STUDY_SUMMARY                 	animation programs could be reactivated in other species for long-term
ST:STUDY_SUMMARY                 	preservation via transcription factor remodeling and suggests a mechanism for
ST:STUDY_SUMMARY                 	how complex adaptations evolve in nature.
ST:INSTITUTE                     	Stanford University
ST:LAST_NAME                     	Contrepois
ST:FIRST_NAME                    	Kevin
ST:ADDRESS                       	300 Pasteur Dr
ST:EMAIL                         	kcontrep@stanford.edu
ST:PHONE                         	6506664538
ST:SUBMIT_DATE                   	2021-08-05
#SUBJECT
SU:SUBJECT_TYPE                  	Fish
SU:SUBJECT_SPECIES               	Nothobranchius furzeri;Aphyosemion striatum
#SUBJECT_SAMPLE_FACTORS:         	SUBJECT(optional)[tab]SAMPLE[tab]FACTORS(NAME:VALUE pairs separated by |)[tab]Additional sample data
SUBJECT_SAMPLE_FACTORS           	nfur.D1m.1	M27_KV_E	Stage:1 month diapause | Species:N. furzeri	Number of Embryos=30; Total Protein Abundance (ug)=475; RAW_FILE_NAME=pRPLC_M27_KV_E; RAW_FILE_NAME=nRPLC_M27_KV_E
SUBJECT_SAMPLE_FACTORS           	nfur.D1m.4	M28_KV_E	Stage:1 month diapause | Species:N. furzeri	Number of Embryos=28; Total Protein Abundance (ug)=1063; RAW_FILE_NAME=pRPLC_M28_KV_E; RAW_FILE_NAME=nRPLC_M28_KV_E
SUBJECT_SAMPLE_FACTORS           	nfur.D1m.2	M29_KV_E	Stage:1 month diapause | Species:N. furzeri	Number of Embryos=27; Total Protein Abundance (ug)=845; RAW_FILE_NAME=pRPLC_M29_KV_E; RAW_FILE_NAME=nRPLC_M29_KV_E
SUBJECT_SAMPLE_FACTORS           	nfur.D1m.3	MA_M2_E	Stage:1 month diapause | Species:N. furzeri	Number of Embryos=25; Total Protein Abundance (ug)=805; RAW_FILE_NAME=pRPLC_MA_M2_E; RAW_FILE_NAME=nRPLC_MA_M2_E
SUBJECT_SAMPLE_FACTORS           	nfur.D6d.1	M18_D6_E	Stage:6 day diapause | Species:N. furzeri	Number of Embryos=27; Total Protein Abundance (ug)=967; RAW_FILE_NAME=pRPLC_M18_D6_E; RAW_FILE_NAME=nRPLC_M18_D6_E
SUBJECT_SAMPLE_FACTORS           	nfur.D6d.4	M19_D6_E	Stage:6 day diapause | Species:N. furzeri	Number of Embryos=25; Total Protein Abundance (ug)=909; RAW_FILE_NAME=pRPLC_M19_D6_E; RAW_FILE_NAME=nRPLC_M19_D6_E
SUBJECT_SAMPLE_FACTORS           	nfur.D6d.2	M4_D6_E	Stage:6 day diapause | Species:N. furzeri	Number of Embryos=25; Total Protein Abundance (ug)=839; RAW_FILE_NAME=pRPLC_M4_D6_E; RAW_FILE_NAME=nRPLC_M4_D6_E
SUBJECT_SAMPLE_FACTORS           	nfur.D6d.3	M5_D6_E	Stage:6 day diapause | Species:N. furzeri	Number of Embryos=25; Total Protein Abundance (ug)=1351; RAW_FILE_NAME=pRPLC_M5_D6_E; RAW_FILE_NAME=nRPLC_M5_D6_E
SUBJECT_SAMPLE_FACTORS           	nfur.NonD.3	M10_DEV_E	Stage:development | Species:N. furzeri	Number of Embryos=12; Total Protein Abundance (ug)=1609; RAW_FILE_NAME=pRPLC_M10_DEV_E; RAW_FILE_NAME=nRPLC_M10_DEV_E
SUBJECT_SAMPLE_FACTORS           	nfur.NonD.4	M13_DEV_E	Stage:development | Species:N. furzeri	Number of Embryos=10; Total Protein Abundance (ug)=1597; RAW_FILE_NAME=pRPLC_M13_DEV_E; RAW_FILE_NAME=nRPLC_M13_DEV_E
SUBJECT_SAMPLE_FACTORS           	nfur.NonD.1	M21_DEV_E	Stage:development | Species:N. furzeri	Number of Embryos=21; Total Protein Abundance (ug)=453; RAW_FILE_NAME=pRPLC_M21_DEV_E; RAW_FILE_NAME=nRPLC_M21_DEV_E
SUBJECT_SAMPLE_FACTORS           	nfur.NonD.2	M24_DEV_E	Stage:development | Species:N. furzeri	Number of Embryos=12; Total Protein Abundance (ug)=2052; RAW_FILE_NAME=pRPLC_M24_DEV_E; RAW_FILE_NAME=nRPLC_M24_DEV_E
SUBJECT_SAMPLE_FACTORS           	nfur.Dexit.1	M12_EX_E	Stage:diapause exit | Species:N. furzeri	Number of Embryos=10; Total Protein Abundance (ug)=439; RAW_FILE_NAME=pRPLC_M12_EX_E; RAW_FILE_NAME=nRPLC_M12_EX_E
SUBJECT_SAMPLE_FACTORS           	nfur.Dexit.3	M7_EX_E	Stage:diapause exit | Species:N. furzeri	Number of Embryos=10; Total Protein Abundance (ug)=2203; RAW_FILE_NAME=pRPLC_M7_EX_E; RAW_FILE_NAME=nRPLC_M7_EX_E
SUBJECT_SAMPLE_FACTORS           	nfur.Dexit.4	M8_EX_E	Stage:diapause exit | Species:N. furzeri	Number of Embryos=10; Total Protein Abundance (ug)=1219; RAW_FILE_NAME=pRPLC_M8_EX_E; RAW_FILE_NAME=nRPLC_M8_EX_E
SUBJECT_SAMPLE_FACTORS           	nfur.Dexit.2	M9_EX_E	Stage:diapause exit | Species:N. furzeri	Number of Embryos=10; Total Protein Abundance (ug)=1529; RAW_FILE_NAME=pRPLC_M9_EX_E; RAW_FILE_NAME=nRPLC_M9_EX_E
SUBJECT_SAMPLE_FACTORS           	Ast.PreD.O.2	AO10_KV_E	Stage:pre diapause old | Species:A. striatum	Number of Embryos=26; Total Protein Abundance (ug)=1431; RAW_FILE_NAME=pRPLC_AO10_KV_E; RAW_FILE_NAME=nRPLC_AO10_KV_E
SUBJECT_SAMPLE_FACTORS           	Ast.PreD.O.1	AO13_KV_E	Stage:pre diapause old | Species:A. striatum	Number of Embryos=17; Total Protein Abundance (ug)=1193; RAW_FILE_NAME=pRPLC_AO13_KV_E; RAW_FILE_NAME=nRPLC_AO13_KV_E
SUBJECT_SAMPLE_FACTORS           	Ast.PreD.O.4	AO3_KV_E	Stage:pre diapause old | Species:A. striatum	Number of Embryos=25; Total Protein Abundance (ug)=1161; RAW_FILE_NAME=pRPLC_AO3_KV_E; RAW_FILE_NAME=nRPLC_AO3_KV_E
SUBJECT_SAMPLE_FACTORS           	Ast.PreD.O.3	AO8_KV_E	Stage:pre diapause old | Species:A. striatum	Number of Embryos=18; Total Protein Abundance (ug)=1498; RAW_FILE_NAME=pRPLC_AO8_KV_E; RAW_FILE_NAME=nRPLC_AO8_KV_E
SUBJECT_SAMPLE_FACTORS           	nfur.PreD.O.3	O11_KV_E	Stage:pre diapause old | Species:N. furzeri	Number of Embryos=25; Total Protein Abundance (ug)=749; RAW_FILE_NAME=pRPLC_O11_KV_E; RAW_FILE_NAME=nRPLC_O11_KV_E
SUBJECT_SAMPLE_FACTORS           	nfur.PreD.O.2	O13_KV_E	Stage:pre diapause old | Species:N. furzeri	Number of Embryos=25; Total Protein Abundance (ug)=503; RAW_FILE_NAME=pRPLC_O13_KV_E; RAW_FILE_NAME=nRPLC_O13_KV_E
SUBJECT_SAMPLE_FACTORS           	nfur.PreD.O.4	O8_KV_E	Stage:pre diapause old | Species:N. furzeri	Number of Embryos=25; Total Protein Abundance (ug)=798; RAW_FILE_NAME=pPRLC_O8_KV_E; RAW_FILE_NAME=nRPLC_O8_KV_E
SUBJECT_SAMPLE_FACTORS           	nfur.PreD.O.1	O9_KV_E	Stage:pre diapause old | Species:N. furzeri	Number of Embryos=25; Total Protein Abundance (ug)=850; RAW_FILE_NAME=pRPLC_O9_KV_E; RAW_FILE_NAME=nRPLC_O9_KV_E
SUBJECT_SAMPLE_FACTORS           	Ast.PreD.Y.1	AY10_KV_E	Stage:pre diapause young | Species:A. striatum	Number of Embryos=11; Total Protein Abundance (ug)=845; RAW_FILE_NAME=pRPLC_AY10_KV_E; RAW_FILE_NAME=nRPLC_AY10_KV_E
SUBJECT_SAMPLE_FACTORS           	Ast.PreD.Y.3	AY1_KV_E	Stage:pre diapause young | Species:A. striatum	Number of Embryos=9; Total Protein Abundance (ug)=644; RAW_FILE_NAME=pRPLC_AY1_KV_E; RAW_FILE_NAME=nRPLC_AY1_KV_E
SUBJECT_SAMPLE_FACTORS           	Ast.PreD.Y.4	AY2_KV_E	Stage:pre diapause young | Species:A. striatum	Number of Embryos=13; Total Protein Abundance (ug)=701; RAW_FILE_NAME=pRPLC_AY2_KV_E; RAW_FILE_NAME=nRPLC_AY2_KV_E
SUBJECT_SAMPLE_FACTORS           	Ast.PreD.Y.2	AY3_KV_E	Stage:pre diapause young | Species:A. striatum	Number of Embryos=9; Total Protein Abundance (ug)=534; RAW_FILE_NAME=pRPLC_AY3_KV_E; RAW_FILE_NAME=nRPLC_AY3_KV_E
SUBJECT_SAMPLE_FACTORS           	nfur.PreD.Y.3	Y6_KV_E	Stage:pre diapause young | Species:N. furzeri	Number of Embryos=26; Total Protein Abundance (ug)=1031; RAW_FILE_NAME=pRPLC_Y6_KV_E; RAW_FILE_NAME=nRPLC_Y6_KV_E
SUBJECT_SAMPLE_FACTORS           	nfur.PreD.Y.4	Y7_KV_E	Stage:pre diapause young | Species:N. furzeri	Number of Embryos=25; Total Protein Abundance (ug)=713; RAW_FILE_NAME=pRPLC_Y7_KV_E; RAW_FILE_NAME=nRPLC_Y7_KV_E
SUBJECT_SAMPLE_FACTORS           	nfur.PreD.Y.1	Y8_KV_E	Stage:pre diapause young | Species:N. furzeri	Number of Embryos=25; Total Protein Abundance (ug)=595; RAW_FILE_NAME=pRPLC_Y8_KV_E; RAW_FILE_NAME=nRPLC_Y8_KV_E
SUBJECT_SAMPLE_FACTORS           	nfur.PreD.Y.2	Y9_KV_E	Stage:pre diapause young | Species:N. furzeri	Number of Embryos=25; Total Protein Abundance (ug)=820; RAW_FILE_NAME=pRPLC_Y9_KV_E; RAW_FILE_NAME=nRPLC_Y9_KV_E
#COLLECTION
CO:COLLECTION_SUMMARY            	For each stage in each species, roughly 25-30 embryos were carefully dissected
CO:COLLECTION_SUMMARY            	in ice-cold PBS using biological-grade tweezers (Electron Microscopy Sciences,
CO:COLLECTION_SUMMARY            	72700-D) to carefully remove the chorion, the enveloping layer, and the yolk
CO:COLLECTION_SUMMARY            	without damaging the embryo body. Freshly dissected embryos were then quickly
CO:COLLECTION_SUMMARY            	rinsed with ice-cold PBS, and all the PBS was carefully removed. Embryo bodies
CO:COLLECTION_SUMMARY            	were then snap-frozen in liquid nitrogen and stored at -80°C. A total of 25-30
CO:COLLECTION_SUMMARY            	embryos for lipidomics.
CO:SAMPLE_TYPE                   	Embryo
#TREATMENT
TR:TREATMENT_SUMMARY             	N/A
#SAMPLEPREP
SP:SAMPLEPREP_SUMMARY            	Embryos for each stage of diapause and development were isolated from African
SP:SAMPLEPREP_SUMMARY            	turquoise and red-striped killifish (3-4 replicates for each stage) and lipid
SP:SAMPLEPREP_SUMMARY            	profiling was performed as previously described (PMID: 30532037, PMID:
SP:SAMPLEPREP_SUMMARY            	32612231). Lipids were extracted in a randomized order via biphasic separation
SP:SAMPLEPREP_SUMMARY            	with cold methyl tert-butyl ether (MTBE), methanol and water. Briefly, 260 μl
SP:SAMPLEPREP_SUMMARY            	of methanol and 40 μl of water were added to the embryos and vortexed for 20 s.
SP:SAMPLEPREP_SUMMARY            	A lipid internal standard mixture was spiked in each sample (EquiSPLASH
SP:SAMPLEPREP_SUMMARY            	LIPIDOMIX, Avanti Polar Lipids (cat #: 330731), and d17-Oleic acid, Cayman
SP:SAMPLEPREP_SUMMARY            	chemicals (cat #: 9000432) to control for extraction efficiency, evaluate LC-MS
SP:SAMPLEPREP_SUMMARY            	performance and normalize LC-MS data. Samples were diluted with 1,000 μl of
SP:SAMPLEPREP_SUMMARY            	MTBE, vortexed for 10 s, sonicated for 30 s three times in a water bath, and
SP:SAMPLEPREP_SUMMARY            	incubated under agitation for 30 min at 4°C. After addition of 250 μl of
SP:SAMPLEPREP_SUMMARY            	water, the samples were vortexed for 1 min and centrifuged at 14,000g for 5 min
SP:SAMPLEPREP_SUMMARY            	at 20°C. The upper phase containing the lipids was collected and dried down
SP:SAMPLEPREP_SUMMARY            	under nitrogen. The dry extracts were reconstituted with 150 μl of 9:1
SP:SAMPLEPREP_SUMMARY            	methanol:toluene.
#CHROMATOGRAPHY
CH:CHROMATOGRAPHY_SUMMARY        	Lipid extracts were analyzed in a randomized order using an Ultimate 3000 RSLC
CH:CHROMATOGRAPHY_SUMMARY        	system coupled with a Q Exactive mass spectrometer (Thermo Fisher Scientific) as
CH:CHROMATOGRAPHY_SUMMARY        	previously described (PMID: 32612231). Each sample was run twice in positive and
CH:CHROMATOGRAPHY_SUMMARY        	negative ionization modes and lipids were separated using an Accucore C30 column
CH:CHROMATOGRAPHY_SUMMARY        	2.1 x 150 mm, 2.6 μm (Thermo Fisher Scientific) and mobile phase solvents
CH:CHROMATOGRAPHY_SUMMARY        	consisted in 10 mM ammonium acetate and 0.1% formic acid in 60/40
CH:CHROMATOGRAPHY_SUMMARY        	acetonitrile/water (A) and 10 mM ammonium acetate and 0.1% formic acid in 90/10
CH:CHROMATOGRAPHY_SUMMARY        	isopropanol/acetonitrile (B). The gradient profile used was 30% B for 3 min,
CH:CHROMATOGRAPHY_SUMMARY        	30–43% B over 5 min, 43–50% B over 1 min, 55–90% B over 9 min, 90-99% B
CH:CHROMATOGRAPHY_SUMMARY        	over 9 min and 99% B for 5 min. Lipids were eluted from the column at 0.2
CH:CHROMATOGRAPHY_SUMMARY        	mL/min, the oven temperature was set at 30°C, and the injection volume was 5
CH:CHROMATOGRAPHY_SUMMARY        	μL. Autosampler temperature was set at 15°C to prevent lipid aggregation.
CH:INSTRUMENT_NAME               	Thermo Dionex Ultimate 3000 RS
CH:COLUMN_NAME                   	Thermo Accucore (150 x 2.1mm,2.6um)
CH:COLUMN_TEMPERATURE            	30
CH:FLOW_GRADIENT                 	The gradient profile used was 30% B for 3 min, 30-43% B over 5 min, 43-50% B
CH:FLOW_GRADIENT                 	over 1 min, 55-90% B over 9 min, 90-99% B over 9 min and 99% B for 5 min.
CH:FLOW_RATE                     	0.2 mL/min
CH:INJECTION_TEMPERATURE         	15
CH:SAMPLE_INJECTION              	5ul
CH:SOLVENT_A                     	60% acetonitrile/40% water; 0.1% formic acid;10 mM ammonium acetate
CH:SOLVENT_B                     	90% isopropanol/10% acetonitrile; 0.1% formic acid;10 mM ammonium acetate
CH:CHROMATOGRAPHY_TYPE           	Reversed phase
#ANALYSIS
AN:ANALYSIS_TYPE                 	MS
#MS
MS:INSTRUMENT_NAME               	Thermo Q Exactive Orbitrap
MS:INSTRUMENT_TYPE               	Orbitrap
MS:MS_TYPE                       	ESI
MS:MS_COMMENTS                   	LC-MS peak extraction, alignment, quantification and annotation was performed
MS:MS_COMMENTS                   	using LipidSearch software version 4.2.21 (Thermo Fisher Scientific). Lipids
MS:MS_COMMENTS                   	were identified by matching the precursor ion mass to a database and the
MS:MS_COMMENTS                   	experimental MS/MS spectra to a spectral library containing theoretical
MS:MS_COMMENTS                   	fragmentation spectra. To reduce the risk of misidentification, MS/MS spectra
MS:MS_COMMENTS                   	from lipids of interest were validated as follows: 1) both positive and negative
MS:MS_COMMENTS                   	mode MS/MS spectra match the expected fragments, 2) the main lipid adduct forms
MS:MS_COMMENTS                   	detected in positive and negative modes agree with the lipid class identified,
MS:MS_COMMENTS                   	3) the retention time is compatible with the lipid class identified and 4) the
MS:MS_COMMENTS                   	peak shape is acceptable. The fragmentation pattern of each lipid class was
MS:MS_COMMENTS                   	experimentally validated using lipid internal standards. Single-point internal
MS:MS_COMMENTS                   	standard calibrations were used to estimate absolute concentrations for 431
MS:MS_COMMENTS                   	unique lipids belonging to 14 classes using one internal standard for each lipid
MS:MS_COMMENTS                   	class. Importantly, we ensured linearity within the range of detected endogenous
MS:MS_COMMENTS                   	lipids using serial dilutions of internal standards spanning 4 orders of
MS:MS_COMMENTS                   	magnitude. Subsequently, median normalization (excluding TG and DG) was employed
MS:MS_COMMENTS                   	on lipid molar concentrations to correct for differential quantity of starting
MS:MS_COMMENTS                   	material. The normalized lipid intensities were well correlated with protein
MS:MS_COMMENTS                   	abundances measured using BCA Protein Assay Kit (Pierce, cat# 23225) suggesting
MS:MS_COMMENTS                   	good sample quality. One development (diapause escape) sample had an
MS:MS_COMMENTS                   	unexpectedly low protein concentration and thus was discarded. Lipid molar
MS:MS_COMMENTS                   	concentrations for a given class were calculated by summing individual lipid
MS:MS_COMMENTS                   	species molar concentrations belonging to that class. Fatty acid composition
MS:MS_COMMENTS                   	analysis was performed in each lipid class. Fatty acid composition was
MS:MS_COMMENTS                   	calculated by taking the ratio of the sum molar concentration of a given fatty
MS:MS_COMMENTS                   	acid over the sum molar concentration across fatty acids found in the lipids of
MS:MS_COMMENTS                   	the class. Subsequently, saturated fatty acids (SFA), mono-unsaturated fatty
MS:MS_COMMENTS                   	acids (MUFA) and poly-unsaturated fatty acids (PUFA) were grouped together for
MS:MS_COMMENTS                   	comparative analysis.
MS:ION_MODE                      	POSITIVE
MS:MS_RESULTS_FILE               	ST001898_AN003083_Results.txt	UNITS:MS count	Has m/z:Yes	Has RT:Yes	RT units:Minutes
#END