Study organism and experimental populations
The green-veined white butterfly Pieris napi L. is a widespread temperate-zone butterfly, occurring throughout Europe and the temperate zone of Asia (Ebert and Rennwald 1993). It is one of the most common butterflies in Europe. Nevertheless, it is predicted to suffer from anthropogenic climate change because of its association with moist habitats (Fox et al. 2015). Larvae feed on a variety of Brassicaceae, with Alliaria petiolata Cavara & Grande being the most important one. Brassicaceae are also the preferred nectar plants. The species overwinters in the pupal stage (Wiklund et al. 1991) and has typically one to four generations per year (Müller and Kautz 1938; Tolman and Lewington 2008). P. napi is polyandrous with males transferring large nuptial gifts to their female partners (Stjernholm and Karlsson 2000; Bergström and Wiklund 2002). Accordingly, males are larger than females (Wiklund and Kaitala 1995).
For this study, we collected freshly enclosed spring generation females along a latitudinal gradient from northern Italy to Sweden. We sampled three replicate populations each in northern Italy (I: Torino 45.11° N/7.48° E, Pavia 45.21° N/9.27° E, Mantova 45.21° N/10.75° E), northern Germany (G: Wahrenholz 52.64° N/10.61° E, Rathenow 52.65°N/12.44° E, Strausberg 52.60° N/13.86° E), and South Sweden (S: Örebro 59.29° N/15.01° E, Eskilstuna 59.36° N/16.54° E, Stockholm 58.95° N/17.58° E; Fig. 1). Mean annual temperatures follow a latitudinal gradient (Italy: 13 °C, Germany, 9 °C, Sweden: 6 °C), while mean annual precipitation is higher in Italy (865 mm) than in Germany (570 mm) and Sweden (578 mm; Günter et al. 2019). Likewise, the mean temperature during the flight period (May–September; Italy: 20.6 °C, Germany: 15.8 °C, Sweden: 14.2 °C) as well as the mean maximum temperature (Italy: 25.9 °C, Germany: 23.4 °C, Sweden: 18.8 °C) follow a latitudinal gradient. Special Report on Extreme Events (IPCC 2012) concludes that there have been major increases in the frequency of warm temperature extremes in Europe, with high confidence for the Mediterranean region. Over North and Central Europe, there is medium confidence in an increase in heat-wave intensity and frequency.
The minimal straight distance between two populations was 73 km, the total latitudinal gradient spanned ca. 1660 km. We collected a total of 74 females from Italy, 94 from Germany, and 76 from Sweden between 19 April and 14 June 2016. All females were subsequently transferred to the University of Greifswald for egg-laying.
We have used this latitudinal gradient and the according populations before to investigate (1) phenotypic variation in field-collected males (Günter et al. 2019) and (2) genetic variation and developmental plasticity (Günter et al. 2020). We found decreased body size, increased wing melanisation, and reduced yellow reflectance with increasing latitude (and altitude in additional populations) in field-collected males (Günter et al. 2019). Using a common garden design, we found that individuals from cooler environments were less heat-tolerant, had a longer development time but were, nevertheless, smaller, and had more strongly melanised wings (Günter et al. 2020). In addition, we showed that a higher developmental temperature speeded up development, reduced body size, potential metabolic activity, and wing melanisation but increased heat tolerance.
Experimental design
Field-caught females were kept individually in translucent 1-l plastic pots covered with gauze, which were placed into a climate chamber set at a photoperiod of L18:D6, a constant temperature of 25 °C, and 65% relative humidity. Females were fed ad libitum with water, a 10% sugar solution, and additionally flowers (e.g. Sambucus nigra, Taraxacum spec., Senecio spec.). For oviposition, they were provided daily with a fresh cutting of A. petiolata. The resulting eggs were collected daily and transferred, separated by females, to elongated, sleeve-like gauze cages. Resulting larvae were fed with fresh cuttings of A. petiolata and young rape plants (Brassica napus). All plants were replaced as necessary and the density per cage was limited to a maximum of 40 larvae. Rearing took place in climate chambers under the same conditions as for egg-laying. One day after pupation, resulting pupae were transferred to 500 ml plastic boxes containing moist tissue. On the day of adult eclosion, butterflies were mated within populations, though not allowing siblings to mate. After mating, females were transferred to translucent 1-L plastic pots covered with gauze and containing nectar plants, a leaf of A. petiolata for egg-laying, 10% sugar solution, and water ad libitum. They were maintained under such conditions for 3 days to lay eggs. Eggs were collected and counted daily. We scored early fecundity as a proxy for reproductive investment to avoid mortality before allocation to treatments (note that animals need to be frozen alive for scoring physiological traits). Butterflies typically lay the majority of eggs early within the oviposition period, and early fecundity correlates strongly with lifetime fecundity (Brakefield et al. 2001; Fischer and Fiedler 2001; Kehl et al. 2015). Furthermore, for scoring trade-offs with short-time physiological responses, current reproductive investment seems more relevant than lifetime investment.
Afterwards, females were evenly divided among three thermal treatments characterized by cold, control, and hot conditions (Fig. 2). The daily temperature cycles used were meant to reflect a cool, average, or hot summer day. All treatments started at 25 °C, with a progressive reduction to 15 °C to simulate evening/night conditions. Thereafter, temperatures progressively increased to 21 °C (cold), 27 °C (average) or 33 °C (hot). We used short-time exposure to different thermal regimes as according physiological responses can assumed to be very fast. For example, heat shock proteins were found to be up-regulated within hours after 1-h exposure only (Karl et al. 2012). Per treatment, a single climate cabinet was used with identical settings except for thermal profiles (Sanyo MIR-553; Bad Nenndorf, Germany). Males, in contrast, were allocated to treatments immediately after mating. Butterflies were kept for 24 h at the respective thermal treatment. Afterwards, they were frozen at − 80 °C for later analyses. Offspring sample sizes were 0, 47, and 13 for Swedish, 60, 77, and 57 for German, and 59, 41, and 39 for Italian populations.
The head, wings, and legs were removed from frozen butterflies, and the thorax and abdomen were separated before being weighed (KERN ABJ-120-4M). For each individual (except those used for transcriptome analyses, see below), we measured thorax mass, abdomen mass, and two physiological parameters related to oxidative stress: a marker of antioxidant defence, glutathione (GSH, a non-enzymatic antioxidant), and a marker of oxidative damage, malondialdehyde (MDA, a marker of lipid peroxidation). Glutathione is a central endogenous antioxidant protecting cells against the action of ROS by scavenging them directly or through enzymatic reactions (Aquilano et al. 2014), while MDA is a marker of oxidative damage on lipids, the class of biomolecules most affected by the action of ROS (Del Rio et al. 2005). For measuring GSH and MDA, we used the methods detailed in Günter et al. (2020). In short, we homogenized thoraces and abdomen with a TissueLyser (QIAGEN, The Netherlands) through 1 min and then cooled down for 1 min on dry ice. This procedure was repeated three times. The resulting homogenates were centrifuged at 16,249 g for 30 min at 4 °C. Then, the supernatants were transferred to new tubes and centrifuged once again for 15 min. The resulting supernatants were used to analyse total protein concentration, MDA, and GSH. Total protein concentration was determined at 595 nm using a microplate reader (Epoch 2, BIO-TEK Instruments) according to the Bradford method.
GSH levels were assessed with a spectrophotometric method that involves oxidation of GSH by 2-nitrobenzoic acid to the yellow derivative 5′-thio-2-nitrobenzoic acid (TNB). A GSH stock solution was prepared from 100 mM GSH and diluted to a standard series. Per 1 mg protein sample, sulfosalicylic acid (end concentration 4%) was added in 150 µl volume and incubated overnight at 4 °C. Afterwards, samples were centrifuged at 16,249g for 30 min at 4 °C, and neutralized using 1 M NaOH until reaching pH 7. Each probe was diluted using a factor of 1:2 and 1:4. Standards, samples, and dilutions were transferred to a microplate. Then, 40 µl 1.5 mM 2-nitrobenzoic acid was added to each well to start the assay. Absorbance was measured at 412 nm with 30 kinetic cycles. MDA concentrations were measured with a commercially available Microplate Assay Kit (CAK1011, Cohesion Bioscience) by reading the maximum absorbance at 532 nm and 37 °C (Meng et al. 2009). GSH and MDA values were corrected by protein content.
Transcriptome analyses
We used transcriptome analyses to prove that the treatments used actually imposed thermal stress and to investigate which physiological pathways are activated by butterflies exposed to hot conditions. For logistic reasons, analyses were restricted to German individuals previously exposed to control or hot conditions. We randomly selected two pairs of full-sib sisters per population (n = 12 individuals), with one sibling being exposed to control and the other to hot conditions. Whole thoraces and abdomens were used for RNA extraction. RNA isolation was carried out using TRIZOL (Invitrogen) according to the manufacturer’s instructions, using 1 mL of TRIZOL per individual. Animal tissue was disrupted using a tissue lyser (Qiagen 20.747.0001; bead beating with 5 mm steel beads) for 1 min at 30 Hz. For RNA purification, the RNeasy Mini kit (Qiagen 74106) was used. Construction of the RNA library and transcriptomic sequencing were performed by LGC Genomics GmbH (Berlin, Germany). For details, see Supplementary Material S1. Changes in the level of gene expression are presented as Log2-fold change (Log2FC) values. They show whether genes are up- or down-regulated and how strongly so. A value < 1 reflects a down-regulation, while a value > 1 reflects an up-regulation.
Statistical analyses
Data on egg number, morphology, and physiology were analysed using general linear mixed models (GLMMs) with country (Italy, Germany, Sweden), sex, treatment (cool, benign, hot), and all resulting interactions as fixed factors, and replicate population as random effect nested within country. Egg numbers were analysed only for females irrespective of thermal treatment (as eggs were collected before allocation to treatments). MDA, GSH, and egg number were square root-transformed prior to analyses to meet GLMM requirements. Models were constructed by stepwise backward removal of non-significant interactions. For egg number, we additionally performed covariance analyses by adding thorax and abdomen mass or MDA and GSH as covariates. Throughout the text, means are given ± 1 SE. All statistical tests were performed with Statistica 12.0 (Tulsa, StatSoft, OK).