• Aucun résultat trouvé

An inversion supergene in Drosophila underpins latitudinal clines in survival traits

N/A
N/A
Protected

Academic year: 2021

Partager "An inversion supergene in Drosophila underpins latitudinal clines in survival traits"

Copied!
6
0
0

Texte intégral

(1)

Supporting Information

1

2

Supporting Figure Legends

3 4

Figure S1. Survival curves as a function of In(3R)P karyotype and temperature. Effects

5

of In(3R)P and temperature (18°C vs. 25°C) on the proportion adult survival in females and 6

males. The different curves represent Florida inverted (black), Florida standard (red), and 7

Maine standard (blue). See Results, Fig. 1, and Table 1 for details. 8

9

Figure S2. Starvation survival curves as a function of In(3R)P and temperature. . Effects

10

of In(3R)P and temperature (18°C vs. 25°C) on the proportion adult survival upon starvation 11

in females and males. The different curves show Florida inverted (black), Florida standard 12

(red), Maine standard (blue). See Results, Fig. 2 and Table 2 for details. 13

(2)

Figure S1 14 15 0 0.2 0.4 0.6 0.8 1 0 20 40 60 80 100 120 140 160 0 20 40 60 80 100 120 140 160

Lifespan (days)

0 0.2 0.4 0.6 0.8 1

25°C

18°C

25°C

18°C

Florida inverted Florida standard Maine standard

Proportion

Survival

(3)

Figure S2 16 17 0 0.2 0.4 0.6 0.8 1 0 0.2 0.4 0.6 0.8 1 0 40 80 120 160 200 0 40 80 120 160 200

Age at death (hr)

Proportion

Survival

25°C

18°C

25°C

18°C

Florida inverted Florida standard Maine standard

(4)

A preliminary analysis of trait relationships

18

In previous work (Kapun et al., 2016b) we had shown that In(3R)P affects various proxies of 19

body size; since body size and lifespan covary positively with increasing latitude along the 20

North American east coast (e.g., Coyne & Beecham, 1987; Schmidt & Paaby, 2008), and 21

given that some non-clinal studies have found a positive relation between size and lifespan as 22

well (e.g., McCulloch & Gems, 2003 and Khazaeli et al., 2005; and references therein), the 23

question arises whether the effects of In(3R)P on lifespan might be explained by its effects on 24

size. 25

To begin to address this question we used data on female wing area (mm2), a proxy of 26

body size, collected during our experiment using the methods described in Kapun et al. 27

(2016b) (sample sizes: FI, 18°C: 265, FI, 25°C: 273; FS, 18°C: 275, FS, 25°C: 272; MS, 28

18°C: 270, MS, 25°C: 280; data at Dryad: doi:10.5061/dryad.3vb89dj). Analysis of these data 29

qualitatively confirmed that In(3R)P karyotype affects wing area, with inversion 30

homokaryons from Florida having smaller wings than standard homokaryons from both 31

Florida and Maine (mixed-effects ANOVA, karyotype: F2,23.99 = 24.57, P < 0.0001 [Tukey's 32

HDS posthoc test: FI < FS < MS, all P < 0.05]; temperature: F1,1605 = 5151.68, P < 0.0001; 33

temperature × karyotype: F2,1605 = 5151.68, P < 0.0001; variance component estimate of the 34

random effect of line[karyotype] not shown). 35

Since – for practical reasons – we could not measure wing area on the same individuals as 36

those used in the lifespan assay, we were unable to estimate the covariance between size and 37

lifespan using bivariate data collected from the same animals; we thus had to analyze the 38

relationship between these traits using line means. Because a fully factorial analysis of 39

covariance (ANCOVA) on this relatively small number of line means was likely to be 40

underpowered, we fit an ANOVA model to the residuals from a linear regression of lifespan 41

against wing area. The effect of karyotype was not significant (karyotype: F2,48 = 2.6, P = 42

(5)

0.0845; temperature: F1,48 = 2.6, P = 0.035; temperature × karyotype: F2,48 = 0.098, P < 0.90), 43

suggesting that covariation between size and lifespan might explain part of the variation in 44

lifespan among karyotypes (albeit probably not all, given the marginally non-significant P-45

value). We tentatively conclude that the effects on the assayed survival traits are affected, but 46

not driven exclusively, by the effects of karyotype on size. However, our analysis here is 47

crude and preliminary: a more refined and powerful analysis (i.e., ANCOVA) will require 48

measuring both size and age at death on the same individuals. 49

In support of the notion that In(3R)P represents a life-history supergene affecting multiple, 50

partly intercorrelated life-history traits, multivariate analysis of variance (MANOVA) showed 51

that karyotype has a significant effect on multivariate phenotype (i.e., on a linear combination 52

of size, lifespan, starvation and cold survival) (karyotype: Wilk’s λ = 0.33, approx. F8,90 = 53

8.44, P < 0.0001 [contrast inverted vs. standard, P < 0.05]; temperature: F4,45 = 110.9, P < 54

0.0001; temperature × karyotype: Wilk’s λ = 0.84, approx. F8,90 = 0.99, P = 0.45). 55

56

Supporting References

57

Coyne, J.A. & Beecham, E. 1987. Heritability of Two Morphological Characters Within and 58

Among Natural Populations of Drosophila melanogaster. Genetics, 117: 727-737. 59

Kapun, M., Schmidt, C., Durmaz, E., Schmidt, P.S. & Flatt, T. 2016b. Parallel effects of the 60

inversion In(3R)Payne on body size across the North American and Australian clines in 61

Drosophila melanogaster. J. Evol. Biol., 29: 1059-1072. 62

Khazaeli, A.A., Van Voorhies, W. & Curtsinger, J.W. 2005. The relationship between life 63

span and adult body size is highly strain-specific in Drosophila melanogaster. Exp. 64

Gerontol. 40: 377-385. 65

McCulloch, D. & Gems, D. 2003. Body size, insulin/IGF signaling and aging in the nematode 66

Caenorhabditis elegans. Exp. Gerontol. 38: 129-136. 67

(6)

Schmidt, P.S. & Paaby, A.B. 2008. Reproductive Diapause and Life-History Clines in North 68

American Populations of Drosophila melanogaster. Evolution, 62: 1204-1215. 69

Figure

Figure S114  15  00.20.40.60.81 0 20 40 60 80 100 120 140 160 0 20 40 60 80 100 120 140 160Lifespan (days)00.20.40.60.8125°C♂18°C♂25°C♀18°C♀Florida invertedFlorida standardMaine standardProportionSurvival
Figure S2 16  17  00.20.40.60.8100.20.40.60.81 0 40 80 120 160 20004080120160200Age at death (hr)ProportionSurvival25°C♂18°C♂25°C♀18°C♀ Florida inverted Florida standardMaine standard

Références

Documents relatifs

6 Isosteric heat of adsorption for pure CO 2 (a), H2 (b) and N2 (c) on activated carbon dependent on the amount adsorbed as obtained by the Clausius Clapeyron equation; dashed

Next, still considering nonnegative X i ’s, we use convolution power kernel estimators fitted to nonparametric estimation of functions on R + , proposed in Comte and

bovis gene copy numbers over the time by the IS1561’- based qPCR assay on sterile soil A (solid grey bars), sterile soil B (gray stripe bars) and biotic soil A (solid black

and the Austausch coecient K; therefore, the last term in the right side of Eq.. 1), using mean-monthly normal values of temperature and height at 500 mb, obtained from the

Time distributions of the yearly values of (a) sunspot num- ber, (b) coronal index, (c) solar flare index, (d) SXR flares num- ber, (e) SXR flares number with importance &gt; M4 and

but predominantly easterly ahead of the front (Fig. The front, which marks the leading edge of the gravity current un- der study, passed MRI about 01:00 JST. These parame- ters are

discrete, spatially-uniform storm events are used as model forcing as our objective is to identify nonlinearity and scale effects in the flood response and its relation to

(v) We use different sets of UV and optical observables to test constant star formation models with single non-rotating stars (we note that BPASS v2.1 binary models with constant