Supplementary Information. Thermal stress depletes energy reserves in Drosophila

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Supplementary Information Thermal stress depletes energy reserves in Drosophila Peter Klepsatel *, Martina Gáliková, Yanjun Xu and Ronald P. Kühnlein Supplementary Material and Methods High protein medium Except of the standard diet (see Material and Methods), we used also high protein medium with four times increased yeast content (62.6 g yeast per 1 l of medium) in comparison to the standard medium. The amounts of other components remained unchanged. This medium was not used during development of flies but only after eclosion, during adulthood. Thin layer chromatography Thin layer chromatography (TLC) was conducted as described in Gáliková et al. 1. After eclosion, w 1118 male flies were kept at 25 C; after 4 days, they were randomly transferred either into 18 C or 29 C (12:12 L:D; 60-70% humidity) for 8 days; at the end of this period samples for the TLC analysis were collected (5 flies per replicate; 3 biological replicates per temperature). 1

Supplementary Figures and Tables Supplementary Figures Supplementary Figure S1. Full factorial experimental design with three initial and three adulthood temperatures. Supplementary Figure S2. Effect of temperature on the energy reserves of male flies on the high protein medium. Data (for given population and initial temperature) were analysed by one-way ANOVA with Tukey s HSD test: P < 0.05. Error bars represent standard errors of the mean. For global statistical analyses see Supplementary Tables S2 and S4. Supplementary Figure S3. Effect of initial temperature on the relative changes in the body fat content at three adulthood temperatures measured on the standard diet. All values are standardized to the starting values, i.e. values measured before exposure to different temperatures. Data (for given population and adulthood temperature) were analysed by one-way ANOVA with Tukey s HSD test: P < 0.05. Values marked with different letters are significantly different. Error bars represent standard errors of the mean. For global statistical analyses see Supplementary Table S5. Supplementary Figure S4. Effect of initial temperature on the relative changes in the body fat content at three adulthood temperatures measured on the high protein diet. All values are standardized to the starting values, i.e. values measured before exposure to different temperatures. Data (for given population and adulthood temperature) were analysed by one-way ANOVA with Tukey s HSD test: P < 0.05. Values marked with different letters are significantly different. Error bars represent 2

standard errors of the mean. For global statistical analyses see Supplementary Table S6. Supplementary Figure S5. Effect of different developmental temperatures on the body fat content at eclosion. Data (for given population) were analysed by one-way ANOVA with Tukey s HSD test: P < 0.05. Values marked with different letters are significantly different. Error bars represent standard errors of the mean. For global statistical analyses see Supplementary Table S7. Supplementary Figure S6. Comparison of the subcuticular abdominal (dorsal) fat body between young (4 days old) and older (31 days old) male flies (Lpp-Gal4>UAS- StingerII) at 25 C. Lpp-Gal4 is fat body-specific Gal4-driver 2 ; UAS-StingerII is a GFP reporter with nuclear localization 3. Supplementary Figure S7. Thin layer chromatography analysis shows that high temperature decreases the amount of triacylglycerols (TAG) (FA fatty acids; DAG diacylglycerol; MAG monoacylglycerol). For details see Supplementary Material and Methods. Supplementary Figure S8. Recovery of the body fat content after 24 h starvation (1% agarose; 25 C, 12:12 L:D, 60-70% humidity). 0. day represents the value measured immediately after the starvation. Data were analysed by the two-tailed Student s t-test. ** P < 0.01, *** P < 0.001. Error bars represent standard errors of the mean. For global statistical analyses see Supplementary Table S11. 3

Supplementary Figure S9. Exposure to mifepristone (RU486) does not have significant effect on the body fat content (w 1118 males; 29 C, 12:12 L:D, 60-70% humidity; exposure time: 8 days). RU 0 only solvent (ethanol); RU 200-200μM RU486. Data were analysed by the two-tailed Student s t-test. Error bars represent standard errors of the mean. 4

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Supplementary Tables Supplementary Table S1. Three-way analysis of variance (ANOVA) testing the effects of population, initial temperature, adulthood temperature and their interactions on the fat content (μg TAG equivalents/ fly) on the standard medium. df - degrees of freedom; SSQ - the sum of squares for each source of variation. Source of variation df SSQ F-ratio P-value Population 3 3457.0 107.2 < 0.0001 Initial temperature 2 22706.4 1056.2 < 0.0001 Adulthood temperature 2 6684.3 310.9 < 0.0001 Population Initial temperature 6 4903.9 76.0 < 0.0001 Population Adulthood temperature 6 568.9 8.8 < 0.0001 Initial Adulthood temperature 4 2127.6 49.5 < 0.0001 Population Adulthood temperature 12 955.8 7.4 < 0.0001 x Initial temperature Error 239 2569.0 - - 14

Supplementary Table S2. Three-way analysis of variance (ANOVA) testing the effects of population, initial temperature, adulthood temperature and their interactions on the fat content (μg TAG equivalents/fly) on the high protein medium. df - degrees of freedom; SSQ - the sum of squares for each source of variation. Source of variation df SSQ F-ratio P-value Population 3 2651.9 88.8 < 0.0001 Initial temperature 2 15680.3 787.6 < 0.0001 Adulthood temperature 2 7591.3 381.3 < 0.0001 Population Initial temperature 6 1740.9 29.2 < 0.0001 Population Adulthood temperature 6 657.1 11.0 < 0.0001 Initial temperature Adulthood temperature 4 2732.1 68.6 < 0.0001 Population Adulthood temperature 12 747.4 6.3 < 0.0001 x Initial temperature Error 245 2438.7 - - 15

Supplementary Table S3. Three-way analysis of variance (ANOVA) testing the effects of population, initial temperature, adulthood temperature and their interactions on the glycogen content (μg glycogen/ fly) on the standard medium. df - degrees of freedom; SSQ - the sum of squares for each source of variation. Source of variation df SSQ F-ratio P-value Population 3 4701.5 75.6 < 0.0001 Initial temperature 2 14858.1 358.3 < 0.0001 Adulthood temperature 2 316.6 7.6 0.0006 Population Initial temperature 6 6094.8 49.0 < 0.0001 Population Adulthood temperature 6 348.4 2.8 0.0119 Initial temperature Adulthood temperature 4 1400.5 16.9 < 0.0001 Population Adulthood temperature 12 774.2 3.1 0.0004 x Initial temperature Error 235 4872.7 - - 16

Supplementary Table S4. Three-way analysis of variance (ANOVA) testing the effects of population, initial temperature, adulthood temperature and their interactions on the glycogen content (μg glycogen/ fly) on the high protein medium. df - degrees of freedom; SSQ - the sum of squares for each source of variation. Source of variation df SSQ F-ratio P-value Population 3 5479.5 90.5 < 0.0001 Initial temperature 2 13016.2 322.4 < 0.0001 Adulthood temperature 2 255.2 6.3 0.0021 Population Initial temperature 6 3087.7 25.5 < 0.0001 Population Adulthood temperature 6 538.0 4.4 0.0003 Initial temperature Adulthood temperature 4 1124.7 13.9 < 0.0001 Population Adulthood temperature 12 624.0 2.6 0.0031 x Initial temperature Error 245 4945.8 - - 17

Supplementary Table S5. Two-way analysis of variance (ANOVA) testing the effects of population, initial temperature and their interaction on the relative changes in the fat content (μg TAG equivalents/ fly) at three adulthood temperatures on the standard medium. df - degrees of freedom; SSQ - the sum of squares for each source of variation. Adulthood Source of variation df SSQ F-ratio P-value temperature Population 3 1.3 33.0 < 0.0001 Initial temperature 2 3.4 128.7 < 0.0001 18 C Population Initial temperature 6 3.6 45.3 < 0.0001 Error 80 1.1 - - Population 3 0.1 1.6 0.2060 Initial temperature 2 0.7 24.9 < 0.0001 25 C Population Initial temperature 6 3.5 38.9 < 0.0001 Error 79 1.2 - - Population 3 0.2 11.2 < 0.0001 Initial temperature 2 0.5 39.0 < 0.0001 29 C Population Initial temperature 6 1.9 45.3 < 0.0001 Error 80 0.6 - - 18

Supplementary Table S6. Two-way analysis of variance (ANOVA) testing the effects of population, initial temperature and their interaction on the relative changes in the fat content (μg TAG equivalents/ fly) at three adulthood temperatures on the high protein medium. df - degrees of freedom; SSQ - the sum of squares for each source of variation. Adulthood Source of variation df SSQ F-ratio P-value temperature Population 3 0.9 13.5 < 0.0001 Initial temperature 2 0.7 15.6 < 0.0001 18 C Population Initial temperature 6 0.9 6.6 < 0.0001 Error 81 1.8 - - Population 3 0.1 3.0 0.0369 Initial temperature 2 0.6 18.2 < 0.0001 25 C Population Initial temperature 6 2.8 30.3 < 0.0001 Error 82 1.2 - - Population 3 0.2 3.1 0.0317 Initial temperature 2 0.3 9.1 0.0003 29 C Population Initial temperature 6 0.4 4.1 0.0011 Error 82 1.3 - - 19

Supplementary Table S7. Two-way analysis of variance (ANOVA) testing the effects of population, developmental temperature and their interaction on the fat content (μg TAG equivalents/ fly) at eclosion. df - degrees of freedom; SSQ - the sum of squares for each source of variation. Source of variation df SSQ F-ratio P-value Population 3 81.0 1.2 0.3319 Developmental temperature 2 4968.8 106.7 < 0.0001 Population Developmental temperature 6 1869.3 13.4 < 0.0001 Error 66 1537.1 - - 20

Supplementary Table S8. F-test for parallelism for age-specific decrease in the fat content (μg TAG equivalents/ fly) standardized to the starting value (the fat content at eclosion). ndf numerator degrees of freedom; ddf denominator degrees of freedom. Population Comparison ndf ddf F-ratio P-value 18 C vs. 25 C 1 8 4.34 0.0707 Oregon R 18 C vs. 29 C 1 8 7.45 0.0259 25 C vs. 29 C 1 8 3.37 0.1036 18 C vs. 25 C 1 8 0.27 0.6202 w 1118 18 C vs. 29 C 1 8 1.76 0.2212 25 C vs. 29 C 1 8 1.16 0.3122 18 C vs. 25 C 1 8 4.27 0.0726 Canton S 18 C vs. 29 C 1 8 7.31 0.0269 25 C vs. 29 C 1 8 1.90 0.2053 18 C vs. 25 C 1 8 0.00 0.9902 Denmark 18 C vs. 29 C 1 8 3.04 0.1193 25 C vs. 29 C 1 8 3.51 0.0980 21

Supplementary Table S9. Two-way analysis of variance (ANOVA) testing the effects of population, temperature (24 h exposure) and their interaction on the fat content (μg TAG equivalents/ fly). df - degrees of freedom; SSQ - the sum of squares for each source of variation. Temperature Source of variation df SSQ F-ratio P-value Population 3 1278.1 37.5 < 0.0001 29 C Temperature 1 50.2 4.4 0.0421 Population Temperature 3 4.4 0.1 0.9431 Error 38 431.2 - - Population 3 1791.7 44.2 < 0.0001 31 C Temperature 1 33.3 2.5 0.1249 Population Temperature 3 50.7 1.3 0.3052 Error 38 513.9 - - Population 3 1404.9 39.6 < 0.0001 33 C Temperature 1 236.8 20.0 < 0.0001 Population Temperature 3 32.0 0.9 0.4495 Error 38 449.1 - - 22

Supplementary Table S10. Two-way analysis of variance (ANOVA) testing the effects of population, thermal stress and their interaction on the fat content (μg TAG equivalents/ fly). df - degrees of freedom; SSQ - the sum of squares for each source of variation. Type of Source of variation df SSQ F-ratio P-value thermal stress Population 3 1867.0 41.7 < 0.0001 Heat-shock (38 C, 45 min) Thermal stress 1 562.2 37.7 < 0.0001 Population Thermal stress 3 19.0 0.4 0.7376 Error 32 477.7 - - Population 3 1075.6 32.2 < 0.0001 Cold exposure (0 C, 4h) Thermal stress 1 653.0 58.6 < 0.0001 Population Thermal stress 3 24.2 0.7 0.5441 Error 36 401.1 - - Population 3 1404.6 45.5 < 0.0001 Cold exposure (4 C, 4h) Thermal stress 1 277.8 27.0 < 0.0001 Population Thermal stress 3 213.9 6.9 0.0009 Error 34 350.2 - - 23

Supplementary Table S11. Two-way analysis of variance (ANOVA) testing the effects of population, starvation (24 h) and their interaction on the fat content (μg TAG equivalents/ fly) at two time points (0.day immediately after 24h starvation). df - degrees of freedom; SSQ - the sum of squares for each source of variation. Source of variation df SSQ F-ratio P-value Population 3 332.1 15.8 < 0.0001 0.day Starvation 1 1403.5 199.7 < 0.0001 Population Starvation 3 26.5 1.3 0.3023 Error 40 281.2 - - Population 3 537.3 < 0.0001 5.day Starvation 1 55.4 0.0063 Population Starvation 3 1.8 0.9652 Error 40 266.9 - - 24

Supplementary Table S12. Two-way analysis of variance (ANOVA) testing the effects of population, heat-shock (38ºC, 45 min) and their interaction on the fat content (μg TAG equivalents/ fly) at three time points (0.day immediately after the heat-shock). df - degrees of freedom; SSQ - the sum of squares for each source of variation. Source of variation df SSQ F-ratio P-value Population 3 1658.4 35.1 < 0.0001 0.day Heat-shock 1 25.0 1.6 0.2170 Population Heat-shock 3 14.4 0.3 0.8221 Error 32 504.1 - - Population 3 1867.5 53.8 < 0.0001 5.day Heat-shock 1 1628.4 40.8 < 0.0001 Population Heat-shock 3 201.8 5.8 0.0023 Error 38 439.5 - - Population 3 2803.3 86.4 < 0.0001 10.day Heat-shock 1 562.5 52.0 < 0.0001 Population Heat-shock 3 195.9 6.0 0.0019 Error 37 400.1 - - 25

Supplementary Table S13. Two-way analysis of variance (ANOVA) testing the effects of population, cold exposure (0ºC, 4 h) and their interaction on the fat content (μg TAG equivalents/ fly) at three time points (0.day immediately after the cold exposure). df - degrees of freedom; SSQ - the sum of squares for each source of variation. Source of variation df SSQ F-ratio P-value Population 3 1230.9 49.5 < 0.0001 0.day Cold exposure 1 4.3 0.5 0.4757 Population Cold exposure 3 50.5 2.0 0.1295 Error 32 265.2 - - Population 3 2469.9 43.6 < 0.0001 5.day Cold exposure 1 525.9 27.8 < 0.0001 Population Cold exposure 3 248.8 4.4 0.0096 Error 38 718.3 - - Population 3 2458.3 97.2 < 0.0001 10.day Cold exposure 1 240.5 28.5 < 0.0001 Population Cold exposure 3 302.7 12.0 < 0.0001 Error 37 311.8 - - 26

Supplementary Table S14. Two-way analysis of variance (ANOVA) testing the effects of population, exposure to different temperatures ( Temperature ; 18 C, 25 C and 29 C) and their interaction on the fat content (μg TAG equivalents/ fly) at three time points (0.day immediately after the exposure). df - degrees of freedom; SSQ - the sum of squares for each source of variation. Source of variation df SSQ F-ratio P-value Population 3 1179.3 42.9 < 0.0001 0.day Temperature 2 2314.0 126.1 < 0.0001 Population Temperature 6 98.9 1.8 0.1149 Error 60 550.4 - - Population 3 754.2 31.4 < 0.0001 5.day Temperature 2 448.1 28.0 < 0.0001 Population Temperature 6 51.6 1.1 0.3878 Error 60 479.8 - - Population 3 667.1 38.8 < 0.0001 10.day Temperature 2 302.6 26.4 < 0.0001 Population Temperature 6 44.0 1.3 0.2792 Error 66 378.5 - - 27

Supplementary Table S15. Starvation survival analyses (see Fig.5). df - degrees of freedom Log-rank test Wilcoxon test Treatment Population Chi-square df P-value Chi-square df P-value Oregon R 194.99 1 < 0.0001 180.32 1 < 0.0001 Heat-shock (38 C, 45 min) w 1118 175.56 1 < 0.0001 169.58 1 < 0.0001 Canton S 77.46 1 < 0.0001 84.62 1 < 0.0001 Denmark 56.40 1 < 0.0001 64.43 1 < 0.0001 Oregon R 91.10 1 < 0.0001 79.81 1 < 0.0001 Cold-shock (0 C, 4 h) w 1118 125.04 1 < 0.0001 129.72 1 < 0.0001 Canton S 53.41 1 < 0.0001 61.99 1 < 0.0001 Denmark 38.51 1 < 0.0001 30.94 1 < 0.0001 Oregon R 34.36 1 < 0.0001 31.54 1 < 0.0001 18 C vs 29 C (8 days) w 1118 55.00 1 < 0.0001 53.86 1 < 0.0001 Canton S 44.80 1 < 0.0001 38.27 1 < 0.0001 Denmark 17.29 1 < 0.0001 16.50 1 < 0.0001 28

Supplementary Table S16. Summary of transgenic Drosophila strains used in this study; BDSC refers to Bloomington Drosophila Stock Center. Short name Genotype Reference/Source Internal stock number da-gs w 1118 ; da-gs Tricoire et al. 4 MGF 1663 FBI-26-GS P{Switch1}FBI-26; UAS-GFP Roman et al. 5 RKF 1045 ts-fb-gal4 y*w* ; P{w[+mW.hs]=GawB}FB P{w[+m*] UAS-GFP Beller et al. 6 RKF 805 1010T2}#2; P{w[+mC]=tubPGAL80[ts]}2 Lpp-Gal4 w*; +/+; P{Lpp-GAL4.B}/TM3, Sb* Brankatschk and Eaton 2 RKF 1421 UAS-StingerII +; UAS-StingerII Barolo et al. 3 RKF 1171 UAS-hid +; P{UAS-hid[14]} / CyO Received from M. Hoch RKF 174 UAS-Diap1 w[*]; P{w[+mC]=UAS-DIAP1.H}3 BDSC 6657 PKF 1725 Hsf RNAi (1) y[1] v[1]; P{y[+t7.7] v[+t1.8]=trip.jf02415}attp2/tm3, Sb[1] BDSC 27070 PKF 1726 Hsf RNAi (2) y[1] v[1]; P{y[+t7.7] v[+t1.8]=trip.gl00698}attp2 BDSC 41581 PKF 1727 Hsp83 RNAi (1) y[1] sc[*] v[1]; P{y[+t7.7] v[+t1.8]=trip.hms00796}attp2 BDSC 32996 PKF 1728 Hsp83 RNAi (2) y[1] sc[*] v[1]; P{y[+t7.7] v[+t1.8]=trip.hms00899}attp2 BDSC 33947 PKF 1729 Hsp70Aa; Hsp70Ab RNAi y[1] v[1]; P{y[+t7.7] v[+t1.8]=trip.hms02475}attp40 BDSC 42639 PKF 1730 Hsp70Ba RNAi (1) y[1] sc[*] v[1]; P{y[+t7.7] v[+t1.8]=trip.glv21037}attp2 BDSC 35672 PKF 1731 Hsp70Ba RNAi (2) y[1] sc[*] v[1]; P{y[+t7.7] v[+t1.8]=trip.hms02661}attp40 BDSC 43289 PKF 1732 Hsp23 RNAi y[1] sc[*] v[1]; P{y[+t7.7] v[+t1.8]=trip.hms02745}attp40 BDSC 44029 PKF 1733 29

Supplementary References 1. Gáliková, M. et al. Energy homeostasis control in Drosophila Adipokinetic hormone mutants. Genetics 201, 665 683, doi:10.1534/genetics.115.178897, (2015). 2. Brankatschk, M. & Eaton, S. Lipoprotein particles cross the blood-brain barrier in Drosophila. J. Neurosci. 30, 10441 10447, doi:10.1523/jneurosci.5943-09.2010 (2010). 3. Barolo, S., Carver, L. A. & Posakony, J. W. GFP and beta-galactosidase transformation vectors for promoter/enhancer analysis in Drosophila. BioTechniques 29, 726 732 (2000). 4. Tricoire, H. et al. The steroid hormone receptor EcR finely modulates Drosophila lifespan during adulthood in a sex-specific manner. Mech. Ageing Dev. 130, 547 552, doi:10.1016/j.mad.2009.05.004 (2009). 5. Roman, G., Endo, K., Zong, L. & Davis, R. L. P[Switch], a system for spatial and temporal control of gene expression in Drosophila melanogaster. Proc. Natl. Acad. Sci. U.S.A. 98, 12602 12607, doi:10.1073/pnas.221303998 (2001). 6. Beller, M. et al. PERILIPIN-dependent control of lipid droplet structure and fat storage in Drosophila. Cell Metab. 12, 521 532, doi:10.1016/j.cmet.2010.10.001 (2010). 30