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. 2020 Jun 30;15(6):e0235388. doi: 10.1371/journal.pone.0235388

Thermal traits for reproduction and recruitment differ between Arctic and Atlantic kelp Laminaria digitata

Neusa Martins 1,2,*, Gareth A Pearson 1, Julien Bernard 1, Ester A Serrão 1, Inka Bartsch 2
Editor: Adrian Zwolicki3
PMCID: PMC7326501  PMID: 32604405

Abstract

The plasticity of different kelp populations to heat stress has seldom been investigated excluding environmental effects due to thermal histories, by raising a generation under common garden conditions. Comparisons of populations in the absence of environmental effects allow unbiased quantification of the meta-population adaptive potential and resolution of population-specific differentiation. Following this approach, we tested the hypothesis that genetically distinct arctic and temperate kelp exhibit different thermal phenotypes, by comparing the capacity of their microscopic life stages to recover from elevated temperatures. Gametophytes of Laminaria digitata (Arctic and North Sea) grown at 15°C for 3 years were subjected to common garden conditions with static or dynamic (i.e., gradual) thermal treatments ranging between 15 and 25°C and also to darkness. Gametophyte growth and survival during thermal stress conditions, and subsequent sporophyte recruitment at two recovery temperatures (5 and 15°C), were investigated. Population-specific responses were apparent; North Sea gametophytes exhibited higher growth rates and greater sporophyte recruitment than those from the Arctic when recovering from high temperatures, revealing differential thermal adaptation. All gametophytes performed poorly after recovery from a static 8-day exposure at 22.5°C compared to the response under a dynamic thermal treatment with a peak temperature of 25°C, demonstrating the importance of gradual warming and/or acclimation time in modifying thermal limits. Recovery temperature markedly affected the capacity of gametophytes to reproduce following high temperatures, regardless of the population. Recovery at 5°C resulted in higher sporophyte production following a 15°C and 20°C static exposure, whereas recovery at 15°C was better for gametophyte exposures to static 22.5°C or dynamic heat stress to 25°C. The subtle performance differences between populations originating from sites with contrasting local in situ temperatures support our hypothesis that their thermal plasticity has diverged over evolutionary time scales.

Introduction

Thermal adaptation studies have recently focused widely on anthropogenically induced climate change in terms of the consequences of shifts in mean temperatures [1, 2]. However, adaptive changes among populations may be driven be the extreme thermal values experienced, such as the frequency, intensity and persistence of extreme climatic events [3]. Such complex conditions of environmental change, including the rate and duration of heat spikes, might have important implications for ecophysiological performance [4] and consequent population divergence, but remain insufficiently understood.

Although many studies have investigated thermal responses of marine species, most do not consider intraspecific variation in adaptive traits between populations along distributional ranges [5, 6]. Species with broad geographical distributions, inhabiting a diversity of local thermal regimes, may diverge with distinct genetic and phenotypic features over evolutionary time scales [6]. Marginal habitats may contain populations with unique genetic diversity and corresponding phenotypic characteristics resulting in important persistence capability and conservation value under the impact of global change [711]. Distinguishing genetic and phenotypic variation among populations within a species is rare, as intraspecific acclimation versus adaptation along distributional ranges are difficult to disentangle, requiring common garden conditions to verify if a generation of individuals that develop from meiospores/zygotes in the same conditions still retained different ecophysiological responses to the same thermal extremes.

Studies that compare the variability of thermal responses of marine organisms across distinct populations have followed various approaches to answer distinct questions; using the same thermal stress under common garden conditions can show whether populations of the same species have adaptive differences to thermal tolerance limits, non-common garden conditions address the question of phenotypic differentiation which can be due to acclimation or adaptation, while delta approaches (where temperature changes of a common magnitude delta relative to those prevailing at the population site are applied) address the question of direct local ecological effects under global warming scenarios acting locally. A distinct issue is the rate of change: experimentally-determined thermal tolerances of species are highly dependent on the chosen methodology and experimental conditions, namely whether temperature stress is applied in a static or dynamic (gradual) way [12]. Experiments with a dynamic stress increase rate better simulate ecologically relevant in situ conditions, incorporating more naturalistic shifts in temperature as opposed to the stable stress level applied in static methods [12]. Available data comparing both methods is still limited, particularly for species that occur in cold-temperate regions, that might be particularly sensitive to selective thermal stress levels, such as the marine forests of macroalgae commonly named kelp.

Kelp is a common name used for large brown bio-engineering algae, of several Phaeophycean orders (mostly Laminariales, but also used for some Tilopteridales, Fucales and Desmarestiales). Kelps form marine forests along rocky polar to temperate coastlines worldwide [13], even including very deep reefs in tropical regions. Kelp forests provide a wide range of ecosystem goods and services, both directly as source of food, alginates and pharmaceutical products and indirectly by forming biogenic and structural habitats for numerous ecologically and economically important marine species [13, 14]. Many populations of these habitat-forming algae are currently under threat from global warming, with large-scale declines in their abundance and range shifts occurring worldwide [1517]. This has especially been observed in warming hotspots or near distributional equatorward edges (e.g. Laminaria digitata in France [18]; Saccharina latissima in Norway [17]; Laminaria hyperborea, Laminaria ochroleuca and Saccorhiza polyschides in Spain [19] and Portugal [20, 21]; Ecklonia radiata in Australia [15, 22]).

The perennial kelp species, Laminaria digitata (Hudson) J.V. Lamouroux occurs in the lower intertidal and shallow sublittoral of rocky habitats across large areas of North Atlantic to Arctic coastlines, forming dense marine forests and functioning as foundation species in these ecosystems. In the NE Atlantic, the distribution of L. digitata ranges from the Arctic (Svalbard) to southern Brittany, France [23]. As in typical kelp species, L. digitata exhibits a heteromorphic haplodiplontic life cycle with alternation of microscopic stages (meiospores, gametophytes and microscopic sporophytes) and macroscopic sporophytes [23, 24]. Mature sporophytes produce meiospores that develop into haploid female or male gametophytes, which under favourable conditions develop sperm and eggs that fertilize to regenerate diploid sporophytes [25]. The various ontogenetic stages of complex life cycles possess different thermal response pattern and survival limits. In L. digitata, sporogenesis and gametogenesis require a lower temperature window than sporophyte and gametophyte growth and survival [2629], thus an increase in temperature may delay reproductive development. Haploid and diploid phases also vary; gametophytes tolerate higher temperatures for growth and survival than sporophytes [27, 30]. Vegetative gametophytes have been suggested to play a role analogous to plant seeds [30, 31], postponing fertility until favourable environmental conditions prevail. Therefore, these stages are especially important for kelp recruitment and may ensure species survival in populations that experience massive sporophyte mortality due to extreme environmental events [3234].

Common garden experiments as well as knowledge about trait plasticity in different kelp populations are scarce. The aim of this study was to detect adaptive differentiation between populations in their response to extreme thermal conditions. To achieve this goal, we compare two populations of L. digitata originating from locations with contrasting thermal histories (Arctic; Spitsbergen vs North Sea; Helgoland), that had been kept under the same stable long-term laboratory conditions for the whole life since meiospores germinated, as required to infer adaptation rather than acclimation. Thus, differences should theoretically show evolutionary adaptations consistent with the thermal history at the respective locations of the source populations compared. As pre-investigations showed that thermal growth optima of different geographical isolates seem to be quite stable [27, 35], we assumed that sub-lethal to lethal conditions might better reveal population differences. We therefore experimentally investigated the reproductive performance of microscopic gametophytes and subsequent sporophyte recruitment capacity after extreme thermal conditions and known optimal controls. The major question was whether there is genetically based phenotypic differentiation among individuals from distinct populations when exposed to the species lethal and sub-lethal limits. The question of this study was not to compare population responses to local levels of in situ global warming conditions.

Materials and methods

Algal material

Two populations of L. digitata from distinct environmental conditions were used. Five mature sporophytes were collected during low tide from Helgoland, North Sea, Germany (54°10’39”N, 7°53’36”E) in September 2015 and by divers in Kongsfjorden, Spitsbergen, Svalbard (78°59’06.1”N, 11°57’47.6”E) in June 2015. In Kongsfjorden the summer sea-surface temperature has been recently recorded to be around 7–8°C [36], while in Helgoland the summer sea-surface temperature regularly reaches 18°C and is often higher [37]. Helgoland represents a boundary site for survival of L. digitata [28], as summer seawater temperatures are comparable to or even higher than those at the southern distribution limit in Brittany [28, 38].

Sori were cleaned and meiospores from each individual were released separately into sterile seawater. After the development of gametophytes, female and male gametophyte stock cultures (AWI culture numbers—Helgoland: 3435, 3436, 3439–3444, 3447, 3448; Spitsbergen: 3467–3476) from each individual were established separately in Petri dishes according to the protocol of Bartsch [39]. Vegetative cultures were maintained at 15°C under 3 μmol photons m-2 s-1 of red light (LED Mitras daylight 150 controlled by ProfiLux 3, GHL Advanced Technology, Kaiserslautern, Germany), 16:8 h light:dark (LD) cycle in sterile full strength Provasoli enriched seawater (PES; Provasoli [40], modifications: HEPES buffer instead of TRIS, double concentration of Na2glycerophosphate) until the start of the experiment (i.e., ca. 3 y). The seawater of these stock cultures was changed monthly.

Experimental setup

The same amount of vegetative female and male gametophytes derived from the five L. digitata individuals from each population were mixed separately for each sex and gently ground with pestle and mortar into fragments averaging a few cells each. The suspensions were sieved and diluted in sterile seawater to produce 4 stock solutions (Helgoland ♀; Helgoland ♂; Spitsbergen ♀; Spitsbergen ♂) of gametophytes with lengths between 50 to 100 μm. Each stock solution was a mix of 5 strains of female or male gametophytes. Densities from each single-sex stock were calculated. Female and male gametophyte stock solutions from each population were then combined and the volume needed to achieve a gametophyte density of ~400 gametophytes cm-2 was added to Petri dishes (6.3 cm diameter, height 6.4 cm) containing 4 thick cover slips (n° 3) each and 100 ml of 10% PES. Four replicate Petri dishes were used for each treatment (2 populations × 6 temperature/dark treatments × 4 replicates = 48 Petri dishes in total) each containing an equal mixture of female and male gametophytes.

The gametophytes were allowed to settle and establish at 15°C under 3 μmol photons m-2 s-1 of red light for 5 days. After this initial period the gametophytes were transferred to each target static temperature treatment (control at 15°C, heat stress at 20°C, 22.5°C and 25°C ± 0.1°C) and to a dynamic temperature treatment for 8 experimental days. In the dynamic heat stress (25°C DHS) the temperature was slowly increased from 15°C to 25°C at a warming rate of 2–3°C day-1 and the temperature of 25°C was kept over a period of 2 days. Then, the seawater temperature was decreased from 25°C back to 15°C (again with a cooling rate of 2–3°C day-1). In total, the dynamic heat exposure also lasted 8 days and consisted of 3 days of warming, 2 days at peak temperature (25°C) and 3 days of cooling (see Fig 1 for detailed experimental design). Four additional Petri dishes were prepared per population and maintained at 15°C in darkness (15°C dark), to simulate microscopic gametophytes growing in the very shaded sub-canopy under parental sporophytes or under sediment (e.g., [41, 42]). The temperature of 15°C was used as control because it is the optimal temperature for the growth and reproduction of L. digitata gametophytes [26, 27, 29]. On the other hand, the sub-lethal and lethal seawater temperatures of 20°C, 22.5°C and 25°C for L. digitata gametophytes [30] were chosen to easily check for functional differences between populations. Experiments were conducted in temperature controlled water-baths (Huber Variostat with Pilot ONE, Offenburg, Germany), irradiance was set to 15 μmol photons m-2 s-1 (white LED light, in order to induce gametogenesis) measured with a LI-COR LI-185B Photometer (LI-COR-Biosciences, Lincoln, NE, USA) under a photoperiod of 16:8h light:dark. The 16:8h light:dark regime was used for both populations as it is a good approximation for summer daylengths along the whole distributional range of the species.

Fig 1. Experimental design.

Fig 1

The diagram shows the different thermal/dark treatments (15°C dark, 15°C, 20°C, 22.5°C, 25°C and a dynamic heat stress with a peak temperature of 25°C: 25°C DHS) applied for 8 days in the gametophytes of Laminaria digitata from two populations and the subsequent recovery phase at 5°C and 15°C for 27 days. Gametophyte density and growth, development of ontogenetic stages and sporophyte recruitment parameters evaluated at different time points are also shown in the diagram.

After the thermal and the dark treatments two cover slips with gametophytes from each replicate were transferred to a new Petri dish (5.3 cm diameter, height 1.5 cm), filled with 12 ml of 10% PES, and exposed to 5°C and the other two to 15°C for 27 days of recovery. Culture medium was changed every week by the replacement of 6 ml of 10% PES per Petri dish.

Gametophyte growth, ontogenetic stages of gametogenesis and sporophyte recruitment

Gametophyte density

To assess whether the treatments affected the survival of the gametophytes, the combined density of female and male gametophytes was determined at the beginning (day 0) and at the end (day 8) of all treatments, since it was difficult to clearly differentiate female and male gametophytes during this stage of development. At the end of the recovery phase (day 35 = 8 days of treatments + 27 days of recovery) the density of female and male gametophytes was evaluated separately. A minimum of 300 multicellular gametophytes was counted per replicate at each sampling point.

Gametophyte growth

Gametophyte area was quantified on day 0 and day 8 of each treatment by processing photographic data obtained from an Olympus CKX41 inverted microscope (Olympus Co., Tokyo, Japan) with a Zeiss Axiocam ERC5s microscope camera (Zeiss, Jena, Germany), using ImageJ software [43]. Ten fields of view (100× magnification) per replicate were randomly photographed, and the area of all gametophytes (female and male) present in each field of view was measured. The gametophyte average area was determined per replicate. If a female gametophyte became fertile and formed oogonia, the area of the oogonia was included. In contrast, if eggs and developing sporophytes were detected they were not included in the area measurements.

Relative growth rates (RGR) were estimated using the following formula:

Relativegrowthrate(day1)=[ln(finalarea)ln(initialarea)]/T,whereTisthecultureperiod(days).

Quantification of ontogenetic stages

The relative occurrence of four ontogenetic stages of female gametophytes (vegetative state, gametophytes with oogonia, gametophytes with eggs released and gametophytes with sporophytes attached) was quantified at the end of the thermal/dark treatments (day 8 of treatment = day 0 of recovery) and every 5 days for 20 days after recovery in ≥ 300 female gametophytes per replicate using an Olympus CKX41 inverted microscope. For each female gametophyte the most advanced developmental stage was recorded. Gametophytes were considered to be in the oogonia, egg release or sporophyte stage if at least 1 cell per multicellular gametophyte had entered this developmental stage. Juvenile sporophytes were differentiated from released eggs if a first cell division was visible.

Recruitment of juvenile sporophytes

Recruitment capacity of juvenile sporophytes was evaluated through the relative presence of female multicellular gametophytes with sporophytes after 20 days of recovery and the absolute number of sporophytes per cm2 after 27 days of recovery. The absolute number of sporophytes was evaluated using an Olympus CKX41 inverted microscope and a total of 50 fields of view (100 X magnification) were analysed per replicate.

Significant differences in the absolute number of sporophytes were observed between the two populations at 15°C control (S1 Fig). The Arctic population produced 950–2000 sporophytes cm-2 compared with 450–800 sporophytes cm-2 in the North Sea population. As these may be a result of differences in the initial number of cells per female multicellular vegetative gametophyte between populations, this parameter was normalized to the proportion of the control treatment (15°C) at the recovery temperature of 5°C.

Statistics

Data were analysed with the PERMANOVA module within Primer 6 software [44, 45]. The gametophyte density after 8 days and the relative growth rate data were evaluated under a two-factor design, with treatment and population as fixed factors, whereas the normalized absolute sporophyte density and the female and male gametophyte density after 27 days of recovery were analysed under a three-factor design, with treatment, population and recovery temperature as fixed factors. As all the L. digitata gametophytes from both populations died after 8 days at 25°C, this treatment was excluded from the analysis. PERMDISP tests were performed to test the homogeneity of multivariate dispersions. The normalized sporophyte density was transformed via Box-Cox transformation (λ = 0.51) as dispersion tests were significant. Post-hoc pair-wise t-test comparisons were performed to identify differences between treatments whenever a significant main effect or interaction was found. Univariate analyses were performed with Euclidian distances and 9999 permutations. Differences were considered significant at p < 0.05.

Results

Effect of heat stress and darkness: Gametophyte density and survival

Mean initial gametophyte density was 395 gametophytes cm-2 and did not significantly vary between treatments or populations (Table 1). After 8 days, no gametophytes survived under the highest continuous temperature, 25°C (Fig 2). Excluding this treatment from the analysis, no significant interactions or main effects of treatments or populations were observed (Table 1; Fig 2), thus overall gametophyte survival (not separated by sex) was the same in all these conditions.

Table 1. PERMANOVA for the effects of population and treatments on the gametophyte density of Laminaria digitata.

Factor df SS MS Pseudo-F P(perm)
    Density at day 0
Population 1 588.58 588.58 0.47 0.495
Treatment 5 2647.90 529.57 0.42 0.830
Population × Treatment 5 284.92 56.98 0.04 0.998
Residual 36 45138 1253.80
    Density at day 8
Population 1 133.11 133.11 0.14 0.715
Treatment 4 4415.20 1103.80 1.15 0.357
Population × Treatment 4 6187 1546.80 1.61 0.194
Residual 30 28808 960.27

df, degrees of freedom; SS, sum of squares; MS, mean sum of squares; Pseudo-F, F value by permutation.

Fig 2. Effect of heat stress and darkness on gametophyte density.

Fig 2

Gametophyte density from the North Sea and Arctic populations of Laminaria digitata after 8 days in different treatments (15°C dark, 15°C, 20°C, 22.5°C, 25°C and 25°C DHS). Box plots with median, boxes for 25th and 75th percentiles and whiskers indicating min and max values (n = 4). No significant differences between treatments or populations were detected (excluding the 25°C treatment). See Table 1 for statistics.

Gametophyte growth

Relative growth rates (RGR) of gametophytes showed significant population × treatment interactions (Fig 3; Table 2). North Sea gametophytes showed higher RGR at 15°C (1.6-fold) and 20°C (1.3-fold) and at the dynamic heat stress (25°C DHS) treatment (2.4-fold) compared to Arctic gametophytes. The RGR of Arctic gametophytes was 3.2-fold lower at 22.5°C, 25°C DHS and in darkness compared to 15°C and 20°C (Fig 3). In contrast, the RGR of North Sea gametophytes was reduced by all the warmer temperature treatments (1.4-fold reduced at 20°C, 2.2-fold at 25°C DHS and 3.0-fold at 22.5°C) and even more by the dark treatment (5.1-fold) compared to the temperature control at 15°C.

Fig 3. Effect of heat stress and darkness on gametophyte growth.

Fig 3

Relative growth rate of gametophytes from the North Sea and Arctic populations of Laminaria digitata after 8 days in different treatments (15°C dark, 15°C, 20°C, 22.5°C and 25°C DHS). Box plots with median, boxes for 25th and 75th percentiles and whiskers indicating min and max values (n = 4). * indicates a significant difference between populations per treatment (p<0.05). For each population, different letters above boxplot bars (lowercase letters for the North Sea population and upper case letters for the Arctic population) indicate differences between treatments (p<0.05). See Table 2 for statistics.

Table 2. PERMANOVA for the effects of population and treatments on the relative growth rate for gametophyte area of Laminaria digitata after 8 days.

The post-hoc results are presented in Fig 3.

Factor df SS MS Pseudo-F P(perm)
Population 1 205.66 205.66 41.93 <0.001
Treatment 4 1247.40 311.84 63.59 <0.001
Population × Treatment 4 72.82 18.20 3.71 0.013
Residual 30 147.13 4.90

Significant interactions or main effects are highlighted in bold. df, degrees of freedom; SS, sum of squares; MS, mean sum of squares; Pseudo-F, F value by permutation.

Recovery capacity of gametophytes after heat stress: Time course of ontogeny

Ontogeny after heat stress during the recovery phase at 5°C and 15°C is shown in Fig 4. At day 0 of the recovery period (after 8 days of temperature exposure), only vegetative gametophytes were observed at 20°C, 22.5°C, 25°C DHS and in darkness in both populations. In contrast, at the control temperature of 15°C a considerable proportion of female gametophytes from both populations had already become fertile at the same time point (Arctic: 19% oogonia, 34% eggs, 24% sporophytes; North Sea: 23% oogonia, 17% eggs, 7% sporophytes).

Fig 4. Development of gametogenesis stages over recovery.

Fig 4

Development of ontogenetic stages in the North Sea and Arctic populations of Laminaria digitata over recovery time at 5°C and 15°C from different treatments (15°C dark, 15°C, 20°C, 22.5°C and 25°C DHS) (mean values, n = 4). Counting was performed every 5 days over a period of 20 days. SE-values are omitted for clarity. Note that day 0 of the recovery phase is day 8 of the temperature exposure phase.

In both populations, gametophytes pre-exposed to 22.5°C had the slowest development of fertility (oogonia, eggs and sporophytes production) at both recovery temperatures. Lower proportions of female gametophytes became fertile at the lower recovery temperature of 5°C than at 15°C in all treatments except 15°C and in both populations (Fig 4).

Arctic gametophytes pre-exposed to 15°C, exhibited a more rapid and complete gametogenesis during recovery at 5°C or 15°C compared to North Sea gametophytes (15–25% of the gametophytes did not become fertile even after 20 days of recovery). In contrast, when pre-exposed to 20°C, 22.5°C and 25°C DHS, Arctic gametophytes showed slower gametogenesis at both recovery temperatures compared to North Sea gametophytes.

Recruitment capacity of juvenile sporophytes

The normalized sporophyte density after 27 days showed significant population × treatment and population × recovery temperature interactions (Fig 5A and 5B; Table 3). Recruitment success was higher in North Sea gametophytes recovering from 20°C, 22.5°C and 25°C DHS exposure than in Arctic gametophytes (Fig 5A and 5B). Gametophytes from the 15°C control exhibited the highest densities of sporophytes in both populations followed by the 20°C pre-treatment. In the Arctic population, the gametophytes pre-exposed to 25°C DHS had lower sporophyte densities compared to 15°C, but the lowest densities were observed in the gametophytes pre-exposed to 22.5°C. Similarly, in the North Sea gametophytes the pre-exposure to 25°C DHS and 22.5°C decreased sporophyte density 1.4-fold and 1.7-fold, respectively compared to 15°C, while the darkness pre-treatment further decreased sporophyte density 2.8-fold.

Fig 5. Recruitment capacity of juvenile sporophytes after recovery.

Fig 5

Absolute number of sporophytes from the North Sea and Arctic populations of Laminaria digitata after 27 days of recovery at 5°C (A) and 15°C (B) from different treatments (15°C dark, 15°C, 20°C, 22.5°C and 25°C DHS). Please note that density values were normalized to the control treatment value for each population (adjusted mean = 100%). Box plots with median, boxes for 25th and 75th percentiles and whiskers indicating min and max values (n = 4). See Table 3 for statistics.

Table 3. PERMANOVA for the effects of population, recovery temperature and treatments on the recruitment capacity of juvenile sporophytes of Laminaria digitata.

Factor df SS MS Pseudo-F P(perm)
Population 1 169.74 169.74 116.64 <0.001
Temperature 1 1.84 1.84 1.27 0.267
Treatment 4 585.28 146.32 100.55 <0.001*
Population × Temperature 1 26.85 26.85 18.45 <0.001*
Population × Treatment 4 147.42 36.86 25.33 <0.001*
Temperature × Treatment 4 542.79 135.70 93.24 <0.001*
Population × Temperature × Treatment 4 5.69 1.43 0.98 0.420
Residual 60 87.32 1.46

Significant interactions or main effects are highlighted in bold.

* PERMDISP, p<0.05. df, degrees of freedom; SS, sum of squares; MS, mean sum of squares; Pseudo-F, F value by permutation.

North Sea gametophytes showed higher sporophyte densities compared to Arctic gametophytes at both recovery temperatures (Fig 5A and 5B). Recovery at 5°C increased the sporophyte density in the Arctic gametophytes compared to a recovery at 15°C, while sporophyte densities did not significantly vary between recovery temperatures in the North Sea population.

The normalized sporophyte density also differed significantly due to the interaction recovery temperature × treatment (Fig 5A and 5B; Table 3). Gametophytes pre-exposed to 15°C control and 20°C recovered better at 5°C exhibiting significantly higher sporophyte recruitment than at 15°C. In contrast, recovery at 15°C enhanced sporophyte recruitment compared to a recovery at 5°C in gametophytes previously exposed to 22.5°C and 25°C DHS conditions (Fig 5A and 5B). At the 5°C recovery temperature gametophytes from the control had higher sporophyte densities compared to all the other treatments, followed by the 20°C pre-treatment (Fig 5A). At this recovery temperature, the lowest sporophyte recruitment was observed in gametophytes pre-exposed to 22.5°C. On the other hand, gametophytes pre-exposed to the control, 22.5°C and 25°C DHS showed higher sporophyte densities than the 20°C and darkness treatments during recovery at 15°C (Fig 5B). These results suggest that pre-conditioning of gametophytes over short time periods and transgression of critical high temperatures negatively influences the subsequent recruitment capacity of L. digitata populations. All the interactions showed heterogeneity of dispersions (Table 3), indicating that the significant interactions terms detected in the PERMANOVA could also be due to differences in the dispersion of the data.

The relative presence of female multicellular gametophytes with sporophytes after 20 days of recovery (S2 Fig) showed an overall similar recruitment pattern as the normalized sporophyte density.

Female and male gametophyte survival

Female gametophyte density after 27 days of recovery differed significantly only due to treatments (Fig 6A; Table 4). It was 1.1-fold reduced by the 25°C DHS treatment and further 1.3-fold reduced by 22.5°C compared to the 15°C control, 20°C and dark treatments. On the other hand, male gametophyte density after recovery differed only due to population (Table 4; Fig 6B); the Arctic population had higher densities with an average of 224 gametophytes cm-2 compared to 212 gametophytes cm-2 in the North Sea population (Fig 6B). At the beginning of the experiment, only the combined density of female and male gametophytes was determined since it was difficult to clearly differentiate female and male gametophytes. Therefore, is not possible to know if the population differences in male gametophyte density were already present from the beginning of the experiment.

Fig 6. Female and male gametophyte survival after recovery.

Fig 6

Female (A) and male (B) gametophyte densities from the North Sea and Arctic populations of Laminaria digitata after 27 days of recovery at 5°C and 15°C from different treatments (15°C dark, 15°C, 20°C, 22.5°C and 25°C DHS). Box plots with median, boxes for 25th and 75th percentiles and whiskers indicating min and max values (n = 4). Different letters indicate significant differences among means for each treatment. See Table 4 for statistics.

Table 4. PERMANOVA for the effects of population, recovery temperature and treatments on the female and male gametophyte density of Laminaria digitata after 27 days of recovery.

The post-hoc results are presented in Fig 6.

Factor df SS MS Pseudo-F P(perm)
    Female gametophyte density
Population 1 109.35 109.35 0.25 0.617
Temperature 1 100.19 100.19 0.23 0.627
Treatment 4 36644 9160.90 20.98 <0.001
Population × Temperature 1 280.44 280.44 0.64 0.419
Population × Treatment 4 3941 985.25 2.26 0.069
Temperature × Treatment 4 3730 932.50 2.14 0.083
Population × Temperature × Treatment 4 1475.80 368.96 0.84 0.510
Residual 60 26202 436.7
    Male gametophyte density
Population 1 3256.80 3256.80 6.20 0.018
Temperature 1 71.99 71.99 0.14 0.715
Treatment 4 1570.90 392.73 0.75 0.562
Population × Temperature 1 4.01 4.01 0.01 0.929
Population × Treatment 4 2797.80 699.45 1.33 0.271
Temperature × Treatment 4 1309.20 327.31 0.62 0.647
Population × Temperature × Treatment 4 515.25 128.81 0.25 0.911
Residual 60 31524 525.41

Significant interactions or main effects are highlighted in bold. df, degrees of freedom; SS, sum of squares; MS, mean sum of squares; Pseudo-F, F value by permutation.

Discussion

This study, conducted on individuals from distinct populations but that had lived their whole life in the same conditions, highlights the differential resilience, recovery and reproductive output of microscopic life stages of two populations of L. digitata from locations with different long-term thermal histories; Spitsbergen in the Arctic which is near to the northern distribution limit and Helgoland in the North Sea where summer seawater temperatures are comparable or higher than those at the southern distribution limit in Brittany [28, 38]. The responses of gametophytes to temperature treatments suggest a subtle population level adaptive divergence which may be a consequence of their latitudinal distribution gradient. We also demonstrated that the thermal limits were affected by the experimental methodology (static temperatures vs dynamic heat stress) and by the recovery conditions. This mechanistic approach improves our understanding of the response plasticity of a marine kelp species towards temperature stress.

The temperature range for kelp gametophyte growth and reproduction is species-specific and the width ranges between 5 and 19°C within the genera Laminaria and Saccharina [25]. In general, seawater temperatures above the broad temperature optimum impair the vegetative growth of gametophytes and their fertilisation success (e.g., [29, 46]). The upper lethal temperature limits after long-term exposure to static temperatures (2 wks exposure) are well known for several selected strains of Atlantic Laminaria species [27, 47, 48]. But the effects of dynamic stressful temperature treatments exceeding long-term lethal limits that better mimic natural situations near southern distributional limits has seldom been evaluated in kelps for critical life cycle processes such as growth, reproduction and recruitment of microscopic stages (but see [32]). In our study, gametophytes from both populations exhibited reduced growth rates compared to the 15°C control if exposed to continuous sub-lethal temperatures of 22.5°C or to a dynamic heat stress treatment (25°C DHS: 3 days of warming from 15°C to 25°C, 2 days at peak temperature of 25°C and 3 days of cooling to 15°C) irrespective of their original location in the Arctic or North Sea. This uniform response pattern is especially noteworthy as the sub-lethal and dynamic heat stress treatment for the Arctic populations exceeds the local mean summer temperatures by ~15°C while that of the North Sea population is only exceeded by ~5°C. This is in line with an earlier study showing that vegetative growth of L. digitata gametophytes decreased at temperatures of approx. 20°C [26]. Here, subtle population-specific responses were detected. The North Sea gametophytes from Helgoland showed higher relative growth rates under 15°C-20°C and under 25°C DHS conditions than the Arctic population from Spitsbergen. Given that these cultures are meiotic alternate generation offspring produced and maintained in common culture conditions for an extended period, the maintenance of fixed population differences suggests genetically-based thermal responses linked to their regional origin.

Gametophytes are the most thermally tolerant life cycle stage in kelps, withstanding higher seawater temperatures than sporophytes [27, 30, 47, 49, 50], but upper survival temperature depends on exposure time. The gametophytes of L. digitata from Helgoland (North Sea) are able to survive 28°C for 1 day, 26°C for 2 days, but this limit already decreases to 24°C after 7 days and to 23°C after 4 weeks, thereafter being stable [30]. Similarly, the southern Atlantic species L. pallida also shows a 4–5°C difference in survival temperature between 1 day and 4 weeks exposure [as L. schinzii; 30]. In our study, 8 days exposure to 25°C induced 100% gametophyte mortality in both populations, highlighting two important aspects: 1) the upper survival temperature in L. digitata gametophytes is similar across genetically unconnected populations from contrasting thermal environments and 2) the survival limit within a population is rather stable within a time period of approx. 40 years, as evidenced by comparing the lethal temperature for Helgoland L. digitata gametophyte material sampled in the 1970s (25°C after 7 days [30]) with the recent material sampled for the current study (25°C after 8 days). This is despite continuously increasing temperatures within the last decades at this site [37, 51]. However, exposure to lower temperatures (20°C, 22.5°C), or to a dynamic heat stress up to lethal 25°C did not affect the gametophyte density of either population when measured directly after the thermal stress treatments.

Two differential responses only became obvious during a recovery phase at cooler temperatures: 1) Female gametophytes were more susceptible to thermal stress than males. While female gametophyte density decreased during recovery from the 25°C DHS and 22.5°C treatments, male gametophyte density was stable. Higher temperature tolerance of male over female gametophytes thereby seems to be a universal phenotype in kelp species (L. digitata [35]; L. pallida [= L. schinzii] [30]; Ecklonia [= Eckloniopsis] radicosa [52]). 2) Subtle differences in the recovery capacity from thermal stress were observed between populations during gametogenesis and sporophyte development. Overall, the Arctic population displayed slower gametogenesis and lower sporophyte recruitment during recovery from heat stress than the North Sea population. These differences suggest that L. digitata gametophytes have adjusted their thermal characteristics in response to regional conditions over evolutionary time scales. Meiospores of L. digitata from the Arctic showed high photosynthetic capacity between 7–13°C, while at 19°C a significant decrease was observed after only 4h, suggesting lower thermal resilience of this Arctic population to high temperatures than temperate populations [53]. In addition, a recent study comparing trailing edge and range centre populations of L. digitata sporophytes showed regional differences in the heat shock response suggesting locally adapted thermal ecotypes along a much smaller latitudinal scale [54]. L. digitata trailing edge populations were better equipped to tolerate thermal stress. The temperature at which heat shock proteins were maximally expressed and turned off was 4–8°C higher compared to range centre populations [54]. Australian Ecklonia radiata populations show 1°C higher optimum temperatures for gametophyte growth from warmer compared to cooler locations [55]. Gametophytes of Ecklonia radiata from two New Zealand regions differed in thermal range for growth (warmer location: 9.3°C—25°C; cooler location: 8°C—24°C) and reproduction (warmer location: 9.3°C—24°C; cooler location: < 21.5°C) [56], while Ecklonia cava sporophytes from Japan showed subtle differences in thermal optima for photosynthesis (higher in warmer- than cool-water populations [57]). In contrast, other studies have shown no difference in temperature responses between kelp populations even from different thermal conditions (L. digitata [27]; S. latissima, L. digitata, S. longicruris [35]). These results suggest that intraspecific divergence in thermal traits varies among kelp species, but also highlight the importance of studying recovery post-perturbation, as ecologically relevant impacts might only become apparent following a stress event.

In our study recruitment success following thermal treatments was dependent on recovery temperature (5°C or 15°C). As in previous studies [29] it was shown that recruitment of L. digitata gametophytes was more successful at 5°C than at 15°C, in gametophytes that did not experience thermal stress >20°C. In contrast, recovery at 15°C enhanced sporophyte development from gametophytes previously exposed to 22.5°C and 25°C DHS compared to recovery at 5°C. Cold temperature recruitment at 5°C following a summer heat event is unrealistic in nature, but was performed here to allow a mechanistic exploration of recruitment responses within and between populations.

Kelp gametophytes have been reported to play a crucial role as a “seed bank” analogue able to persist in the substrate or as endophytes in a vegetative and thereby dormant stage (e.g., [5860]). Postponing gametogenesis during unfavourable environmental conditions for the next life history stage (i.e. sporophytes) and re-establishing reproduction when conditions improve [60] would enhance the probability of successful sporophyte recruitment and growth. Understanding the capacity of gametophytes to recover from extreme thermal events may be critical for population persistence as oceans experience more frequent warming anomalies [3], and since gametophytes can persist and recolonize disturbed areas even after complete sporophyte mortality has occurred [33, 61]. However, in the marine realm the recovery capacity of microscopic life stages of ecologically important foundation species after perturbance remains largely unknown. Our mechanistic approach provides insights into principal recovery mechanisms that may also act in nature. It is however not able to directly correlate results to local in situ conditions of the tested populations as the temperature treatments differed relative to local in situ summer conditions of the Arctic and Atlantic population. Here, both thermal stress (20°C, 22.5°C and 25°C DHS) and the absence of light prevented the onset of gametogenesis during an exposure of 8 days, while over the same time frame > 45% of female gametophytes from both populations became fertile at the 15°C control temperature. Although thermally stressed female gametophytes recovered their fertility at 5 and 15°C recovery temperatures, the subsequent recruitment of new juvenile sporophytes was reduced compared to 15°C controls, dependent on both the stress and recovery conditions. This corroborates other observations where recruitment capacity returned when dormant microscopic gametophytes experienced suitable conditions again [61, 6264]. In M. pyrifera, gametophytes may delay reproduction for at least seven months when grown under nutrient limiting conditions, even showing enhanced reproductive ability over un-delayed gametophytes when permissive conditions return [63]. Moreover, in the gametophytes of four kelp species (M. pyrifera, Pterygophora californica, Laminaria farlowii, Pelagophycus porra), exposure for at least 30 days under unfavourable nutrient conditions conferred a 40%–76% reduction in the time required for sporophyte production after transfer to suitable nutrient conditions [64]. Responses analogous to seed dormancy provide an advantage for populations living in habitats subjected to extreme environmental perturbations. In general, many species of kelp gametophytes are very resilient to unfavourable conditions including prolonged periods (> 1 yr) of darkness [30]. This capacity of early stages to survive long periods of darkness is an essential ecological strategy to enable juvenile sporophytes to become established beneath dense canopy until light conditions improve [26, 65].

Climate change implies not only a rise in average temperatures, but also an increase in the frequency of extreme thermal events. The number of extremely hot days has increased in coastal areas worldwide over the last three decades [66] and therefore the recovery potential of kelps to extreme heat stress may be crucial for their future persistence [22]. However, studies comparing the effects of both a static and a dynamic temperature shift in a common garden scenario are scarce in macroalgae. Notably, in this study, L. digitata gametophytes from both populations showed less tolerance to continuous exposure at 22.5°C than to a dynamic heat stress with a peak temperature of 25°C, with slower rates of gametogenesis and reduced sporophyte production during recovery. This implies that the recovery response is a mixture of the applied temperature duration and its intensity. This complex response towards thermal stress highlights how dynamic environmental conditions in nature might influence the ecological responses of kelps and thereby still limit our capability to precisely predict impacts of future global warming for kelp forest ecosystems. Therefore, studies that better simulate the variable stochastic environmental conditions and that include populations of widespread species from contrasting regional environments are important to better understand future ecosystem dynamics and to sustain conservation and management.

In conclusion, comparative common garden experiments revealed differences in the recovery capacity from thermal stress in microscopic gametophytes of L. digitata among two populations from distinct thermal regimes. The magnitude and direction of the response pattern suggest that both populations (representing distinct genetic groups) may have slightly adapted to their local thermal environments since their separation. Continuous exposure to 22.5°C led to a stronger negative impact than gradual increases to a peak temperature of 25°C (lethal for long-term exposure) in gametophytes from both populations. These results highlight the importance of the methodology chosen (static vs dynamic heat stress) in experiments to determine thermal stress responses.

Supporting information

S1 Fig. Absolute number of sporophytes after recovery.

Absolute number of sporophytes from the North Sea and Arctic populations of Laminaria digitata after 27 days of recovery at 5°C (A) and 15°C (B) from different treatments (15°C dark, 15°C, 20°C, 22.5°C and 25°C DHS). Box plots with median, boxes for 25th and 75th percentiles and whiskers indicating min and max values (n = 4).

(TIF)

S2 Fig. Percentage of female gametophytes with sporophytes after recovery.

Percentage of female multicellular gametophytes with juvenile sporophytes from the North Sea and Arctic populations of Laminaria digitata after 20 days of recovery at 5°C (A) and 15°C (B) from different treatments (15°C dark, 15°C, 20°C, 22.5°C and 25°C DHS). Box plots with median, boxes for 25th and 75th percentiles and whiskers indicating min and max values (n = 4).

(TIF)

Acknowledgments

We thank D. Liesner and A. Wagner for maintaining the algal material and for help with laboratory facilities.

Abbreviations

DHS

dynamic heat stress

PES

Provasoli enriched seawater

RGR

relative growth rate

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

This work was supported by a Pew Marine Fellowship (to EAS) and the Foundation for Science and Technology (FCT) of Portugal through PTDC/MAR-EST/6053/2014, UID/Multi/04326/2019, BIODIVERSA/0004/2015, SFRH/BPD/122567/2016 to NM (in transitional norm DL 57/2016/CP1361/CT0039) and SFRH/BSAB/150485/2019.

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Decision Letter 0

Adrian Zwolicki

1 Aug 2019

PONE-D-19-17288

Thermal traits for reproduction and recruitment differ between Arctic and Atlantic kelp Laminaria digitata

PLOS ONE

Dear Dr. Martins,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

==============================

Dear Neusa Martins,

With two reviews in hand I am now prepared to recommend this manuscript for a major revision. Both reviewers have raised a number of concerns connected to the experimental design concerning: temperature treatment, statistical analysis i.e. testing data dispersion, and results interpretation.  I would encourage you to respond to the reviewers’ comments point-by-point.  This will make my job easier, and therefore streamline the editorial process.

==============================

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Additional Editor Comments (if provided):

Dear Neusa Martins,

With two reviews in hand I am now prepared to recommend this manuscript for a major revision. Both reviewers have raised a number of concerns connected to the experimental design concerning: temperature treatment, statistical analysis i.e. testing data dispersion, and results interpretation. I would encourage you to respond to the reviewers’ comments point-by-point. This will make my job easier, and therefore streamline the editorial process.

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Partly

Reviewer #2: No

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2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: No

Reviewer #2: No

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The manuscript investigates the effect of different warming scenarios on gametophyte density, survival, growth, ontogeny and recruitment of sporophytes from two populations of Laminaria digitata exposed to different thermal regimes. Most research on the impacts of climate change on kelps have been on the macroscopic sporophyte stage so this study adds important information on the microscopic gametophyte stage. I have some issues with the framing of the heatwave experiment as they use the recently developed definition of a marine heatwave proposed by Hobday et al 2016, but then only expose the algae to the highest temperature for 2 days (not a heatwave) and provide no context that this temperature represents a temperature above the 90th percental against a 30 year running mean. Primarily for the former reason (as the authors could provide justification for the later reason) I don’t think the authors should frame this work as testing for the impacts of a marine heatwave. I also think the design lacks ecological realism in places and therefore some of the explanations given need a little more justification. Finally the authors state that where their data failed the assumptions of ANOVA that they used PERMANOVA based on Euclidean distance because this analysis does not need the data to meet assumptions of normality nor homoscedasticity. This is not entirely the case. PERMANOVA is less impacted by data not meeting these assumptions, but the date should generally meet these assumptions to be robust. I suggest the authors run their data through PERMDISP to check these assumptions and if the data is very skewed try to transform the data. If this does not help then many authors take a more conservative approach and reduce the acceptance of significance down to P<0.01.

Minor comments

Line 25 It would be incorrect to state that Helgoland is at the southern distributional range of this species. A more nuanced explanation is provided in the introduction. While this nuanced approach may be too wordy for the abstract I suggest that the authors change this text to perhaps describing that populations were exposed to different thermal regimes.

Line 26 It is not clear what is meant by step-wise here and I suggest that authors consider another term – maybe staggered? The authors need to also mention the continuous dark treatment.

Line 63 Suggest the authors add the following reference which particularly investigates the ecological impacts of MHWs, including for kelps Smale et al (2019) Marine heatwaves threaten global biodiversity and the provision of ecosystem services. Nature Climate Change doi: 10.1038/s41558-019-0412-1

Line 139 While the material used in these experiments were sourced from populations with different thermal regimes they were then cultivated for 3 years and kept at 15 degrees. I think it would be useful for the authors to explain why the thermal regime they were sourced at could explain the differences observed between populations and not some other parameter when they have been kept for 3 years at the same temperature.

Line 162 The authors state that where the temperature was ramped up to 25 degrees over a number of days represented a MHW. I find little ecological rationale to underpin this. The control is 15 degrees and therefore the MHW is 10 degrees above normal, this is an extreme HW when some of the largest observed MHWs have max intensities much lower than this (see Smale et al 2019). At what point in the ramping up of temperature does it reach above the 90th percentile for the region the authors are mimicking? This has impacts on whether this treatment actually meets the definition of a MHW based on a paper that they cite (Hobday et al 2016), which explicitly states a MHW must be above the 90th percentile for a period of at least 5 days.

Line 164 The treatment was unlikely a MHW for the full 8 days – see comment above.

Line 167 The dark treatment is suggested to mimic conditions under a dense canopy. I have dived in locations with very dense canopies on very overcast days and it is never full darkness. Can the authors provide evidence that this treatment does represent the conditions that they state.

Lines 174-176 It is stated the 16:8 light:dark settings are chosen to reflect summer conditions, but for the northern population light hours would be longer than this. I suggest the authors clarify this statement.

Line 188-189 The authors state that 5 and 15 degree temperatures were chosen as recovery temperatures because they reflected mean winter and summer temperatures respectfully. I find little ecological realism in the idea that SST could be a 25 degrees and then drop to 5 degrees over the time scales of this study. This treatment lacks ecological realism and I think the authors need to justify its inclusion.

Table 1, 2, 3 & 4- In the legend state the test performed

Gametophyte growth – the authors needs to state how the dark treatment affected growth

Lines 304-311 At present the text is based on a qualitative look at the data. I believe it would be better if this data was analysed quantitatively to really show where the differences lay.

Line 310 I got a little confused with what time point is being referred at 8 days. Is this in fact day 0 or recovery or day 8 of recovery and if the later how is the reader able to agree with the authors when figure 4 is plotted as day 0, 5, 10 etc. I suggest that this text needs some clarification.

Line 321 This starts with in general, when this pattern looks across the board on my interpretation of the figure. Suggest rephrasing.

Line 331-333 This statement isn’t true for the North Sea population where sporophyte densities were the same or higher in the 15 degree recovery treatment at 22.5 and 25 degrees. This is stated in the next sentence, but I suggest this section is restructured to avoid confusion.

Table 3 – suggest choosing a more conservative p-value if the data fails the PERMDISP test

Female and male gametophyte survival – no mention is made of the dark treatment

Line 398 I suggest the readers use more nuanced language as they did in the introduction regarding Helgoland being the southern distributional boundary of L. digitata

Line 399 – 401 I am not convinced by this statement. For density, with the exception of continuous 25 degrees there was no effect of treatment or source population after 8 days. After 27 days there was a treatment effect on female gametophyte density, but this was not related to the source population, while for male gametophyte density there was a population effect, but this did not interact with temperature. No stats were run on the ontogeny data. Therefore the only response variables that had a treatment x population interaction which would be required to state that there was population level adaptive divergence along a latitudinal (i.e. temperature) gradient are for growth and sporophyte recruitment. I therefore believe this statement needs to be a little more nuanced.

Line 404 I am not sure how this study improves our understanding of the genetic potential for recovery. I suggest the authors provide a more detailed explanation here.

Lines 410-411 I am not clear on what is trying to be said here and suggests the authors rephrase for clarity

Line 416 Again a little more clarity is required here. State which 25 degree treatment you are referring to here as both did not lead to mortality

Line 448-449 This was not the case for all response variables and the more nuanced response needs to be described.

Line 516 – 519 I suggest as well as ramp up of temperature that exposure duration could also have led to the differential results and should be mentioned. These differences not only are likely to influence species thermal limits, but the way we run experiments and whether we include acclimation at different temperatures or just a heatshock will also influence our interpretation of the likely future impacts of warming and perhaps this also deserves a mention.

Reviewer #2: Martins and co-worker investigated the thermal traits (and tolerance) for gametogenesis, sexual reproduction and sporophyte recruitment of Arctic and North Sea Laminaria digitata. The experiments were conducted in the laboratory in a common garden set-up. However, the experimental temperature treatment was clearly biased towards the southern population; disregarding the fact that temperature adaptation and history of the two populations are different. In this regard, the authors concluded that gametophytes from the North Sea exhibited higher growth rates and greater sporophyte recruitment after thermal stress compared with the Arctic; which can be indirectly interpreted as that North Sea population is better adapted to thermal stress compared to Arctic population. This is contrary to the data presented and the conclusion was based on missed logical interpretation. Moreover, the suggestion that thermal characteristics of the two populations diverge over evolutionary time scales is speculative and not supported by the data presented.

Considering that the summer high temperature is 5-6°C in the Arctic and 18°C (or higher) in the North Sea, the temperature treatment of 15, 20, 22.5, and 25°C in the common garden experiment are effectively in the range of 10-20°C and 2-7°C increase in temperature for Arctic and North Sea populations, respectively. Relative to the higher magnitude of temperature increase compared to the respective in situ summer high temperature experienced by the corresponding populations, data suggest that Arctic population has higher tolerance to thermal stress compared to the North Sea population.

For example, in Figure 3. Without treatment and data at temperature lower than 15°C, data suggest that Arctic population is more tolerant to thermal stress because growth rate between 15 and 20°C is not significantly different.

Had there been temperature treatment lower than 15°C for the Arctic population, two scenarios are possible:

1. If at temp < 15°C (e.g. 5 and 10°C), growth rate could be equal to 15 and 20°C. Therefore, Arctic population have higher tolerance to thermal stress. This is equal to max. 15°C change in temperature.

2. If at temp < 15°C (e.g. 5 and 10°C), growth rate is ×-fold higher than at 15 and 20°C, then Arctic population is more sensitive to thermal stress.

A third scenario is possible:

3. If at temp < 15°C (e.g. 5 and 10°C), growth rate is ×-fold lower than at 15 and 20°C. How will this change the conclusion?

On the other hand, growth rate of Helgoland population (which experience 18°C summer high temperature) already had significant decline from 15 to 20°C, which is only 5°C change in temperature. Therefore, the population is more sensitive to temperature change (population is living on the edge!). Had there been an 18°C treatment, would growth rate had been higher or lower compared to 15°C? How will this change the conclusion?

The above are hypothetical but pertinent questions, which should have been considered in the design of the experiments.

Pairwise comparison between populations under the same temperature (e.g. Arctic vs. North Sea at 15 and 20°C) is meaningless because the summer high temperatures experienced by the two populations between populations are different such that at 15°C, Artic population encountered 10°C increase in temperature while the North Sea population encountered 3°C decrease in temperature.

The same is with data and statistical analysis in Fig. 5. Pairwise comparison doesn't make sense.

For North Sea population, the temperature increase from 18°C summer high temperature to 22.5- 25°C is max. 7°C; while for Arctic population, the temperature increase from 5-6°C summer high temperature to 22.5 -25°C is max. 20°C. Naturally, the Arctic population will have lower recovery rate compared to Helgoland regardless of recovery temperature. The authors need to reassess their experimental design and data interpretation and consider a paradigm shift. Data and statistical analyses, results and discussion will substantially change accordingly.

What is the relevance of dark control? Without light (or under very low light) growth will naturally be arrested.

Minor comments:

Lines 85-86: How about the collapse of Saccharina population in south and west coast of Norway Norway (Moy and Christie 2012)?

Line 107-110: Example of large-scale disturbance? For example, storm causing large scale dislodgment of adult kelp sporophytes (Roleda and Dethleff 2011) in Helgoland. However, recovery and establishment of new generation of recruits are dependent on the seed bank (e.g. Hoffmann and Santelices 1991).

Line 129: Please provide respective collection dates.

Lines 145-156: Please clarify preparation of stock solution and replication. What was mixed? Males and females from 5 different individual were separately mixed to obtain stock solutions of (1) male and (1) female? How was the replication (n=4) done?

Line 159: Why control? What is control here?

Line 157-170: Justify was start treatment at 15°C and disregarded the in-situ summer high temperature in the Arctic. Ideally, should have additional lower temperature treatment at 5 and 10°C for both populations. Why employ 5°C temperature for recovery only?

Line 185-190: Arctic population treatment start at 15°C and allowed to recovery at 5°C. Why use the summer high temperature for recovery? On the other hand, why let Helgoland population recover at 5°C, which is nowhere near the summer high temperature? Subsequently described as the winter low temperature for the southern population. There seems to be great disparity in the handling of experimental treatment and recovery. Which southern limit of Ldig population (where) experiences a winter temp of 5°C? Is there any ecological relevance in the treatment of the two different populations?

Lines 234-239: What is female cell per vegetative gametophyte? Are not all cells in the female gametophyte females? Wasn’t gametophytes’ length and density were standardized at the beginning. Then equal volume of stock male and female gametophytes were supposedly mixed in every population (Lines 146-154). Was this not temperature effect? Or artifact? How did normalization solved the problem?

Line 257: The relevance of posthoc pairwise t-test is in question.

Line 276-281 (Figure 2): Why would gametophyte density change when "seeding" at the beginning was already controlled (Lines 146-154)?

Figure 5 and Figure 6: Which comes first? The survival of male and female gametophytes (Fig. 6) or the fertilization and production of embryonic and juvenile sporophytes (Fig. 5)? Data were obtained from the same experimental units?

Please consider the following literatures:

Roleda 2009. Photosynthetic response of Arctic kelp zoospores exposed to radiation and thermal stress. Study showed that photosynthetic efficiency of Arctic Ldig under 2, 7 and 13°C did not change within 48h period, but slowly declined at 19°C.

Liu et al. 2017. Seaweed reproductive biology: environmental and genetic controls

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Reviewer #2: No

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PLoS One. 2020 Jun 30;15(6):e0235388. doi: 10.1371/journal.pone.0235388.r002

Author response to Decision Letter 0


12 Nov 2019

Answers to Reviewers' comments:

Reviewer #1

The manuscript investigates the effect of different warming scenarios on gametophyte density, survival, growth, ontogeny and recruitment of sporophytes from two populations of Laminaria digitata exposed to different thermal regimes. Most research on the impacts of climate change on kelps have been on the macroscopic sporophyte stage so this study adds important information on the microscopic gametophyte stage. I have some issues with the framing of the heatwave experiment as they use the recently developed definition of a marine heatwave proposed by Hobday et al 2016, but then only expose the algae to the highest temperature for 2 days (not a heatwave) and provide no context that this temperature represents a temperature above the 90th percental against a 30 year running mean. Primarily for the former reason (as the authors could provide justification for the later reason) I don’t think the authors should frame this work as testing for the impacts of a marine heatwave.

We appreciated the Reviewer’s suggestions and comments. We agree that this does not correspond to the heatwave definition of Hobday et al. (2016) therefore we now call it dynamic heat stress rather than heat wave. The important point is to make clear what we are testing. We improved our explanation of the research question in the text to clarify that the objective is to investigate population differences in functional traits, in this case by asking whether there are population differences in thermal tolerance and performance. As populations are less likely to differ under optimal conditions and indeed pre-investigations showed that thermal optima within different geographical isolates of this species seem to be quite stable (Bolton and Luning 1982, tom Dieck 1992), we used sub-lethal and lethal temperature conditions. The goal of the paper has now been clarified (Line 157).

I also think the design lacks ecological realism in places and therefore some of the explanations given need a little more justification.

We used a mechanistic approach to investigate population differences in functional traits under a set of extreme thermal conditions and not to mimic in situ current and future environmental conditions. Thus, in this new version of the manuscript, we decided to reduce the ecological relevance sentences that were diverting attention from the main aim of the study.

Finally the authors state that where their data failed the assumptions of ANOVA that they used PERMANOVA based on Euclidean distance because this analysis does not need the data to meet assumptions of normality nor homoscedasticity. This is not entirely the case. PERMANOVA is less impacted by data not meeting these assumptions, but the date should generally meet these assumptions to be robust. I suggest the authors run their data through PERMDISP to check these assumptions and if the data is very skewed try to transform the data. If this does not help then many authors take a more conservative approach and reduce the acceptance of significance down to P<0.01.

We appreciated the reviewer comment. As suggested, our data were checked for homogeneity of multivariate dispersions through PERMDISP. Data were then transformed using log, square-root or fourth-root transformations, however the heterogeneity of variances and the skewed distribution persisted, and therefore non-transformed data were used. Because the dispersion tests were significant, a more conservative p-value (P<0.01) was used. We inserted this information in the Materials and methods section (Line 317) and changed the Results (Line 402) accordingly.

Minor comments

• Line 25 It would be incorrect to state that Helgoland is at the southern distributional range of this species. A more nuanced explanation is provided in the introduction. While this nuanced approach may be too wordy for the abstract I suggest that the authors change this text to perhaps describing that populations were exposed to different thermal regimes.

We changed the text as suggested, now describing that the populations used in this study originate from distinct thermal regimes (Line 25).

• Line 26 It is not clear what is meant by step-wise here and I suggest that authors consider another term – maybe staggered? The authors need to also mention the continuous dark treatment.

As suggested, we changed the term stepwise heatwave into dynamic thermal treatment and mentioned the continuous dark treatment (Line 28).

• Line 63 Suggest the authors add the following reference which particularly investigates the ecological impacts of MHWs, including for kelps Smale et al (2019) Marine heatwaves threaten global biodiversity and the provision of ecosystem services. Nature Climate Change doi: 10.1038/s41558-019-0412-1

Following the previous reviewer’s comments regarding the heat wave definition, we decided to rename our temperature-ramped treatment (previously heatwave) to dynamic heat stress treatment and to reduce the introductory sentences concerning the definition, description and ecological consequences of MHWs in order to improve the focus and the clarity of the manuscript. In this new version of the manuscript, in the introduction we focused more on population differences in thermal response, which is the main aim of this study. For this reason, the reference Smale et al. (2019) dealing with the ecological impacts of MHWs was not included.

• Line 139 While the material used in these experiments were sourced from populations with different thermal regimes, they were then cultivated for 3 years and kept at 15 degrees. I think it would be useful for the authors to explain why the thermal regime they were sourced at could explain the differences observed between populations and not some other parameter when they have been kept for 3 years at the same temperature.

The cultures used in the experiments are microscopic haploid offspring (result from meiosis) from field-collected kelp, produced under the same culture conditions (irradiance, temperature, daylength, salinity, etc) and having never seen distinct conditions during their life time. Therefore, other than possible maternal effects, the population differences observed can be attributed to genetically-based differences in thermal responses linked to their population of origin, because no other factors differed during culture conditions for 3 years. This information was included in the manuscript (Line 160).

• Line 162 The authors state that where the temperature was ramped up to 25 degrees over a number of days represented a MHW. I find little ecological rationale to underpin this. The control is 15 degrees and therefore the MHW is 10 degrees above normal, this is an extreme HW when some of the largest observed MHWs have max intensities much lower than this (see Smale et al 2019). At what point in the ramping up of temperature does it reach above the 90th percentile for the region the authors are mimicking? This has impacts on whether this treatment actually meets the definition of a MHW based on a paper that they cite (Hobday et al 2016), which explicitly states a MHW must be above the 90th percentile for a period of at least 5 days.

Please see reply above. This comment is talking about a research question that is not the question of this paper. We have therefore clarified the goals of the paper in the introduction and removed the heat wave rationale as defined by Hobday et al. (2016) because this was not at all the objective of the paper. We did not clearly point this out in the first version. We agree that this does not correspond to the heatwave definition of Hobday et al. (2016), therefore we now call it dynamic heat stress rather than heat wave. The important point is to make clear what we are testing, which is whether there are conditions under which populations show differences in fitness responses to any particular temperature conditions. We improved our explanation of the research question in the text to clarify that the objective is to investigate population differences in functional traits in a mechanistic approach, in this case by asking whether there are population differences in thermal tolerance and performance after heat stress.

• Line 164 The treatment was unlikely a MHW for the full 8 days – see comment above.

We agree that the ramped thermal treatment used in this study does not follow the MHW definition of Hobday et al. (2016). Since the objective of the paper was not to apply a heat wave with that definition, we rename this thermal treatment a dynamic heat stress. Please see also reply above.

• Line 167 The dark treatment is suggested to mimic conditions under a dense canopy. I have dived in locations with very dense canopies on very overcast days and it is never full darkness. Can the authors provide evidence that this treatment does represent the conditions that they state.

We decided to use the dark treatment to mimic the very low light conditions that the gametophytes are exposed in some particular conditions (below overhangs or under stipes, covered by sediment, etc). In situ measurements in the Arctic under a very dense kelp canopy show that irradiance at the substrate surface is near zero, even in sunny and clear-sky summer days that are extremely rare at Kongsfjorden (Please see Fig. 2 in Laeseke et al. 2019; Pavlov et al. 2019). We add this information in the manuscript (Line 223). In addition, algae occurring at lower latitudes and in the winter in the Arctic where they can be exposed to extended periods of darkness due to polar nights and sea ice covering, the irradiance can be even lower or zero. In fact, if the ice is also covered by snow, light can be decreased to < 2% of the light values in the surface, and therefore they may be exposed to 10 months of darkness or very low light conditions (please see review Wiencke et al. 2006). Nevertheless, we agree that darkness is physiologically different to extremely low light conditions. However, this study also aim to compare the response of gametophytes from the Arctic and the North Sea populations under darkness conditions to check if the Arctic gametophytes recover better from the absence of light than the North Sea gametophytes.

• Lines 174-176 It is stated the 16:8 light:dark settings are chosen to reflect summer conditions, but for the northern population light hours would be longer than this. I suggest the authors clarify this statement.

We chose the 16:8h light:dark regime for both populations as it is a good approximation for summer daylengths along the whole distributional range of the species. It has long been known (see Breeman and Guiry 1989) that seasons in the subtidal are different from above the sea level. Recently it was shown for a kelp bed in the Arctic (Pavlov et al. 2019, Fig. 5.6 and Laeseke et al. 2019) that even during summer, below dense kelp canopies, the effective light level is below 24:0h light:dark. In addition, a continuous light regime may induce a completely altered physiology and thereby may induce even more uncontrolled processes. Lüning (1981) has shown that while egg release in kelp gametophytes is diurnal, they are released from this diurnal pattern under continuous irradiance. Moreover, there is a wealth of literature showing that many physiological responses act in a diurnal way (e.g., photosynthesis). This may have influenced our thermal experiment by introducing factors over which we have little control, thus reducing our ability to detect thermal effects. We clarified the reason for using the 16:8h light:dark regime in the Materials and methods section (Line 233).

• Line 188-189 The authors state that 5 and 15 degree temperatures were chosen as recovery temperatures because they reflected mean winter and summer temperatures respectfully. I find little ecological realism in the idea that SST could be a 25 degrees and then drop to 5 degrees over the time scales of this study. This treatment lacks ecological realism and I think the authors need to justify its inclusion.

Please see reply above. Yes, the experimental design is a mechanistic approach to investigate the potential adaptive capacity of the two populations under thermal regimes that could theoretically be experienced by the meta-species. We were interested how the two populations might fit into this scheme. We made it clearer now that we did not simulate immediate ecological conditions. A delta treatment investigation would not really provide information whether the adaptive potential of populations which have evolved with contrasting thermal histories, is different. Pre-information on L. digitata has shown that population differences with respect to thermal responses are subtle, thus we used temperature conditions in which they might differ. We removed the ecological argument for choosing the recovery temperatures of 5ºC and 15ºC.

• Table 1, 2, 3 & 4- In the legend state the test performed

The suggestion of the reviewer was accepted and we have included the test performed in the legend of the statistical Tables.

• Gametophyte growth – the authors needs to state how the dark treatment affected growth

As suggested, we inserted how the dark treatment during 8 days affected gametophyte growth in the results section (Line 355).

• Lines 304-311 At present the text is based on a qualitative look at the data. I believe it would be better if this data was analysed quantitatively to really show where the differences lay.

The text concerning the development of the different ontogenetic stages in the results section is in fact based on quantitative data and not merely qualitative data. We quantified in female gametophytes the percentage of four ontogenetic stages: vegetative stage, gametophytes with oogonia, gametophytes with eggs released and gametophytes with sporophytes attached (Please see line 278 in the Materials and methods section) and the results description are based on these quantitative data.

• Line 310 I got a little confused with what time point is being referred at 8 days. Is this in fact day 0 or recovery or day 8 of recovery and if the later how is the reader able to agree with the authors when figure 4 is plotted as day 0, 5, 10 etc. I suggest that this text needs some clarification.

In the text the time point referred as day 8 was at the end of the period of darkness and heat stress so it was the day 0 of the recovery phase; this was clarified in the manuscript (Line 380). In Figure 4, only the recovery periods are shown (day 0, 5, 10, 15, 20) and the x axis is clearly labelled as “Recovery time (days)”, so no changes were made in the figure, however we clarified this information in the figure legend.

• Line 321 This starts with in general, when this pattern looks across the board on my interpretation of the figure. Suggest rephrasing.

In both populations, lower proportions of female gametophytes were fertile at the recovery temperature of 5ºC compared to 15ºC after almost all treatments (15ºC dark, 15ºC, 20ºC, 22.5ºC and 25ºC DHS) with the exception of the 15°C control temperature. The female gametophytes exposed to the 15°C control exhibited the fastest fertility at the recovery temperature of 5ºC. We changed the sentence for clarity (Line 393).

• Line 331-333 This statement isn’t true for the North Sea population where sporophyte densities were the same or higher in the 15 degree recovery treatment at 22.5 and 25 degrees. This is stated in the next sentence, but I suggest this section is restructured to avoid confusion.

The reviewer suggestion was accepted, we restructured the text for clarity (Line 403).

• Table 3 – suggest choosing a more conservative p-value if the data fails the PERMDISP test

In accordance with the reviewer comment, a more conservative p-value of 0.01 was adopted as PERMDISP tests were significant (Line 436).

• Female and male gametophyte survival – no mention is made of the dark treatment

The suggestion of the reviewer was accepted and we have inserted the effect of the dark treatment on the female gametophyte survival (Line 466). The male gametophyte survival was not affected by the different treatments and this information is already mentioned in the text (Line 467).

• Line 398 I suggest the readers use more nuanced language as they did in the introduction regarding Helgoland being the southern distributional boundary of L. digitata

In accordance with the reviewer comment, we changed the sentence to make it clear that Helgoland is not the southern distributional boundary but the region where summer seawater temperatures may be comparable or higher to those at the southern distribution limit (Line 494).

• Line 399 – 401 I am not convinced by this statement. For density, with the exception of continuous 25 degrees there was no effect of treatment or source population after 8 days. After 27 days there was a treatment effect on female gametophyte density, but this was not related to the source population, while for male gametophyte density there was a population effect, but this did not interact with temperature. No stats were run on the ontogeny data. Therefore the only response variables that had a treatment x population interaction which would be required to state that there was population level adaptive divergence along a latitudinal (i.e. temperature) gradient are for growth and sporophyte recruitment. I therefore believe this statement needs to be a little more nuanced.

As suggested we modified the statement so that the subtle adaptive divergence found among the two populations of L. digitata from contrasting thermal environments is not so much emphasized (Line 497).

• Line 404 I am not sure how this study improves our understanding of the genetic potential for recovery. I suggest the authors provide a more detailed explanation here.

The reviewer comment was accepted. The statement was removed from the manuscript.

• Lines 410-411 I am not clear on what is trying to be said here and suggests the authors rephrase for clarity

We recognize that this sentence was not clear and, therefore, we clarified in the manuscript (Line 509).

• Line 416 Again a little more clarity is required here. State which 25 degree treatment you are referring to here as both did not lead to mortality

The 25ºC treatment mentioned in the sentence was the dynamic heat stress treatment, where the temperature was increased from 15ºC to 25ºC at a warming rate of 2-3ºC day-1 and the temperature of 25ºC was kept over a period of 2 days. Afterwards, the temperature was decreased from 25ºC back to 15ºC at the same rate. We clarified this information in the manuscript (Line 518).

• Line 448-449 This was not the case for all response variables and the more nuanced response needs to be described.

Indeed, during the recovery stage not all the response variables showed differences between populations to thermal stress. Differences were detected during the gametogenesis development and in the sporophyte recruitment. However, the response variables: female and male gametophyte density did not show a treatment × population interaction during the recovery stage. Therefore, we agree with the reviewer that during the recovery stage not all the response variables showed differences between populations to the treatments under study and that the observed differences in the fertility and recruitment were subtle, however this was explained in detail in the text (please see line 555).

• Line 516 – 519 I suggest as well as ramp up of temperature that exposure duration could also have led to the differential results and should be mentioned. These differences not only are likely to influence species thermal limits, but the way we run experiments and whether we include acclimation at different temperatures or just a heatshock will also influence our interpretation of the likely future impacts of warming and perhaps this also deserves a mention.

We thank the reviewer for the valuable suggestions, and we have considered the temperature exposure duration for the different results obtained at the continuous temperature of 22.5ºC and at the dynamic heat stress (25ºC DHS) with a peak temperature of 25ºC (Line 642). We also mentioned that the experimental design not only influences the thermal limits but also the interpretation of the future global warming impacts (Line 647).

Reviewer #2:

Martins and co-worker investigated the thermal traits (and tolerance) for gametogenesis, sexual reproduction and sporophyte recruitment of Arctic and North Sea Laminaria digitata. The experiments were conducted in the laboratory in a common garden set-up. However, the experimental temperature treatment was clearly biased towards the southern population; disregarding the fact that temperature adaptation and history of the two populations are different. In this regard, the authors concluded that gametophytes from the North Sea exhibited higher growth rates and greater sporophyte recruitment after thermal stress compared with the Arctic; which can be indirectly interpreted as that North Sea population is better adapted to thermal stress compared to Arctic population. This is contrary to the data presented and the conclusion was based on missed logical interpretation. Moreover, the suggestion that thermal characteristics of the two populations diverge over evolutionary time scales is speculative and not supported by the data presented.

Considering that the summer high temperature is 5-6°C in the Arctic and 18°C (or higher) in the North Sea, the temperature treatment of 15, 20, 22.5, and 25°C in the common garden experiment are effectively in the range of 10-20°C and 2-7°C increase in temperature for Arctic and North Sea populations, respectively. Relative to the higher magnitude of temperature increase compared to the respective in situ summer high temperature experienced by the corresponding populations, data suggest that Arctic population has higher tolerance to thermal stress compared to the North Sea population.

The comments of the referee are correct but that is not the research question of this paper. This paper does not aim to investigate whether populations will survive x degrees above their summer temperature. It aims to investigate whether this species has distinct thermal tolerances depending on the population of that same species; i.e., whether distinct populations of the same species have any functional differences at any temperatures. It is not an ecological question, it is an evolutionary question. Therefore, we clarified the aim of this study throughout the manuscript.

For example, in Figure 3. Without treatment and data at temperature lower than 15°C, data suggest that Arctic population is more tolerant to thermal stress because growth rate between 15 and 20°C is not significantly different.

Had there been temperature treatment lower than 15°C for the Arctic population, two scenarios are possible:

1. If at temp < 15°C (e.g. 5 and 10°C), growth rate could be equal to 15 and 20°C. Therefore, Arctic population have higher tolerance to thermal stress. This is equal to max. 15°C change in temperature.

2. If at temp < 15°C (e.g. 5 and 10°C), growth rate is ×-fold higher than at 15 and 20°C, then Arctic population is more sensitive to thermal stress.

A third scenario is possible:

3. If at temp < 15°C (e.g. 5 and 10°C), growth rate is ×-fold lower than at 15 and 20°C. How will this change the conclusion?

On the other hand, growth rate of Helgoland population (which experience 18°C summer high temperature) already had significant decline from 15 to 20°C, which is only 5°C change in temperature. Therefore, the population is more sensitive to temperature change (population is living on the edge!). Had there been an 18°C treatment, would growth rate had been higher or lower compared to 15°C? How will this change the conclusion?

The above are hypothetical but pertinent questions, which should have been considered in the design of the experiments.

We appreciated the reviewer comment; however this comment is talking about a research question that is not the question of this paper.

Pairwise comparison between populations under the same temperature (e.g. Arctic vs. North Sea at 15 and 20°C) is meaningless because the summer high temperatures experienced by the two populations between populations are different such that at 15°C, Artic population encountered 10°C increase in temperature while the North Sea population encountered 3°C decrease in temperature.

The same is with data and statistical analysis in Fig. 5. Pairwise comparison doesn't make sense.

For North Sea population, the temperature increase from 18°C summer high temperature to 22.5- 25°C is max. 7°C; while for Arctic population, the temperature increase from 5-6°C summer high temperature to 22.5 -25°C is max. 20°C. Naturally, the Arctic population will have lower recovery rate compared to Helgoland regardless of recovery temperature. The authors need to reassess their experimental design and data interpretation and consider a paradigm shift. Data and statistical analyses, results and discussion will substantially change accordingly.

This comment is talking about a research question that is not the question of this paper. In this study, pairwise comparison are appropriate because we aim to investigate population differences in functional traits, by asking whether there are population differences in thermal tolerance under any particular conditions in which they might differ.

What is the relevance of dark control? Without light (or under very low light) growth will naturally be arrested.

The dark treatment was used as a non-optimal environmental condition for gametophyte growth and reproduction. It can simulate microscopic gametophytes growing in the very shaded sub-canopy under parental sporophytes (below overhangs or under stipes, covered by sediment, etc). In fact, in situ measurements in the Arctic under a very dense kelp canopy show that irradiance at the substrate surface is near zero, even in sunny and clear-sky summer days that are extremely rare at Kongsfjorden (Please see Fig. 2 in Laeseke et al. 2019; Pavlov et al. 2019). This information was added in the manuscript (Line 223). Irradiance can be even lower (near zero) for algae occurring at lower latitudes and for algae occurring in the Arctic it can also simulate the extended periods of darkness due to polar nights and sea ice covering that they are exposed during winter. This treatment was used to investigate if the gametophytes are able to become fertile and develop sporophytes after being exposed to optimum light conditions. Therefore, the main aim of using the dark treatment was not to check the effect on the gametophyte growth, but to evaluate the recovery capacity of the gametophytes after a non-inductive gametogenesis environmental condition, but also non-lethal.

Minor comments:

• Lines 85-86: How about the collapse of Saccharina population in south and west coast of Norway Norway (Moy and Christie 2012)?

The suggestion of the reviewer was accepted and we have inserted the work on the collapse of Saccharina latissima in the coast of Norway (Line 126).

• Line 107-110: Example of large-scale disturbance? For example, storm causing large scale dislodgment of adult kelp sporophytes (Roleda and Dethleff 2011) in Helgoland. However, recovery and establishment of new generation of recruits are dependent on the seed bank (e.g. Hoffmann and Santelices 1991).

As recommended, the work of Roleda and Dethleff (2011) on the large scale dislodgment of kelp sporophytes in Helgoland was taken into consideration and inserted (Line 146) in the manuscript as well as the work of Hoffmann and Santelices (1991).

• Line 129: Please provide respective collection dates.

As suggested, we have inserted the respective collection dates for each site (Line 180).

• Lines 145-156: Please clarify preparation of stock solution and replication. What was mixed? Males and females from 5 different individual were separately mixed to obtain stock solutions of (1) male and (1) female? How was the replication (n=4) done?

Yes, male and female gametophytes from 5 sporophytes per population were mixed separately to obtain 4 stock solutions (Helgoland ♀; Helgoland ♂; Spitsbergen ♀; Spitsbergen ♂), i.e., each stock solution had a mix of 5 strains of gametophytes.

The density of each stock solution was calculated, female and male from each population were mixed to have equal proportions of both sexes. The combined solution was distributed to Petri dishes, each with ~400 gametophytes cm-2. Four Petri dishes were used per population and treatment as already described in the text (Line 207), thus we defined as replicates the Petri dishes.

As recommended, we clarified the preparation of the stock solution and replication in the Materials and Methods section (Line 204, 208).

• Line 159: Why control? What is control here?

We considered the temperature of 15ºC as the control because it is within the optimal temperature range for the growth and reproduction of L. digitata gametophytes (Lüning 1980, tom Dieck 1992, Martins et al. 2017). Moreover, the gametophytes from both populations were healthily growing vegetatively at 15ºC in the laboratory prior to the experiment, so it has been their growth temperature for years. This information was added to the Materials and methods section (Line 224).

• Line 157-170: Justify was start treatment at 15°C and disregarded the in-situ summer high temperature in the Arctic. Ideally, should have additional lower temperature treatment at 5 and 10°C for both populations. Why employ 5°C temperature for recovery only?

As already explained above, the aim of this work is to investigate genetically-based population differences in functional traits, by asking whether there are population differences in thermal tolerance under any particular conditions in which they might differ despite having spent their entire lives in the same conditions.

• Line 185-190: Arctic population treatment start at 15°C and allowed to recovery at 5°C. Why use the summer high temperature for recovery? On the other hand, why let Helgoland population recover at 5°C, which is nowhere near the summer high temperature? Subsequently described as the winter low temperature for the southern population. There seems to be great disparity in the handling of experimental treatment and recovery. Which southern limit of Ldig population (where) experiences a winter temp of 5°C? Is there any ecological relevance in the treatment of the two different populations?

As explained above the aim of the study was to investigate whether populations from thermally contrasting environments of the same species have differences in the reproductive performance of microscopic gametophytes and the sporophyte recruitment capacity in any temperature. We let both populations recover at 5ºC and 15ºC to check for differences in the recover capacity under cold and warm temperatures. To clarify the focus of this study, we removed the ecological argument for the chosen recovery temperatures from the manuscript.

• Lines 234-239: What is female cell per vegetative gametophyte? Are not all cells in the female gametophyte females? Wasn’t gametophytes’ length and density were standardized at the beginning. Then equal volume of stock male and female gametophytes were supposedly mixed in every population (Lines 146-154). Was this not temperature effect? Or artifact? How did normalization solved the problem?

Each female vegetative gametophyte had several cells and the number of cells per gametophyte fragment (called female in the MS) differed slightly due to the crushing procedure. We understand that our sentence was confusing and, therefore, we changed in the manuscript (Line 297). Indeed, in the beginning of the experiment we did our best to control the number of cells per gametophyte fragment in both populations by standardizing the density to ~400 gametophytes cm-2 and the length of the gametophytes to 50-100 µm by sieving them. Anyway, the number of cells per female gametophyte fragment can still be slightly different between 50-100 µm. As the Arctic population produced higher number of sporophytes per cm2 compared to the North Sea population at 15ºC that is an optimum temperature to produce sporophytes in L. digitata (Martins et al. 2017), this may indicate differences in the initial number of cells per female gametophyte fragment. As strong differences were observed regarding the number of sporophytes between populations under optimum conditions, we decided to normalize the data in order to be possible to evaluate the effects of the different treatments.

• Line 257: The relevance of posthoc pairwise t-test is in question.

Post-hoc pair-wise comparisons were performed whenever a significant difference between treatments/populations was found. As the aim of this study was to compare the recovery capacity to recruit of distinct populations of the same species in any specific temperature, the Pos-hoc pair-wise comparisons used were valid.

• Line 276-281 (Figure 2): Why would gametophyte density change when "seeding" at the beginning was already controlled (Lines 146-154)?

Indeed, gametophyte density was controlled at the beginning of the experiment; however it can decrease due to gametophyte death after exposure to lethal thermal treatments. In this study, the gametophytes density was zero after 8 days of exposure to the continuous temperature of 25ºC, meaning that no gametophytes survived under this thermal treatment.

• Figure 5 and Figure 6: Which comes first? The survival of male and female gametophytes (Fig. 6) or the fertilization and production of embryonic and juvenile sporophytes (Fig. 5)? Data were obtained from the same experimental units?

Although they were independent measures, the absolute number of sporophytes (Fig. 5) and the survival of male and female gametophytes (Fig. 6) were both measured after 27 days of recovery as described in the Figure legends (Line 423 and 478). Since, gametogenesis (development of ontogenetic stages over recovery time represented in Fig. 4) and recruitment (sporophyte density data showed in Fig. 5) are biological processes that occur sequentially, we decided to present their results in the same order. And by last the survival of male and female gametophytes (Fig. 6).

Please consider the following literatures:

Roleda 2009. Photosynthetic response of Arctic kelp zoospores exposed to radiation and thermal stress. Study showed that photosynthetic efficiency of Arctic Ldig under 2, 7 and 13°C did not change within 48h period, but slowly declined at 19°C.

Liu et al. 2017. Seaweed reproductive biology: environmental and genetic controls

As recommended, the suggested citations were included in the manuscript.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Adrian Zwolicki

10 Jan 2020

PONE-D-19-17288R1

Thermal traits for reproduction and recruitment differ between Arctic and Atlantic kelp Laminaria digitata

PLOS ONE

Dear Dr. Martins,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

==============================

I would like to thank the authors for a comprehensive effort to improve the manuscript after the first revision. Also, I would like to apologise for the delay, which was caused by difficulties with finding a new reviewer and also, additionally, I decided to review the statistical part of the writing myself.

I have two reviews on my desk now, but unfortunately with different recommendations: accepted with minor comments (newly invited reviewer3), and a major revision with more serious remarks (reviever2); some of which I will bring up below:

1) Statistical analyses were not performed rigorously. In this case, I reviewed the statistical analyses by myself and the comments could be found below in the 'Editorial Statistical revision' section.

2) The results do not support the conclusions. The stress levels were confused by the authors with temperature levels. Studied populations were not directly comparable because there were different stress levels on each (the Arctic 10-20°C increase vs Helgoland 2-7°C increase). Therefore, the conclusion about a higher stress tolerance in Helgoland population is not supported and could be the result of different experimental design.

3) The experimental design and results did not allow to conclude about evolutionary consequences related to adaptation, as the authors suggested. The results should be interpreted more directly and as straight as possible. Moreover, the response for acclimation/acclimatisation should not be confused with adaptation.

The reviewer2 and my major comments are related to the main thesis and their complementarity, therefore my decision for this manuscript is Major revision.

==============================

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Additional Editor Comments (if provided):

Editorial Statistical revision

1) This study was performed on the insufficient number of replications. It is a statistically inappropriate idea to have more factor levels than samples per level (n=4). Such sample size is also insufficient to trust S-W normality test and, what is more important, it reduces the statistical power of ANOVA (likelihood of rejecting the H0 when it actually should be rejected, a type II error).

2) For the reason of heterogeneity of variance in factor levels and both types of distribution skewness in the data, the Box-Cox transformation should be performed prior to all analysis.

3) Because of low number of replications, PERMANOVA with PERMPDISP should be applied instead of all ANOVA type analyses, which would also help to unify the interpretation of the results. If the PERMDISP reviled heterogeneity, a short information (*) in the tables is required and short comments in results or discussion about how data quality could influence the results.

4) Despite the first reviewer’s suggestion, my recommendation is to use the same level of alpha α = 0.05 in all models/tests to unify their sensitivity, and to allow for comparisons between the models and results interpretation. The significance level should be mentioned only once in the methods section and removed from the results and tables.

5) In all PERMANOVA tables the SS for residuals (unexplained variation) should also be shown. It allows the readers to calculate the percent of total variation explained by tested factors if needed.

6) In all tables the exact value of probability should be presented with the exception of p<0.001. The values of SS, MS and pseudo-F should be rounded to two decimal places.

7) The “Statistical analysis for” phrase should be removed from all tables’ captions and the name of analysis - PERMANOVA should be added. Also “Post-hoc analyses were performed using pair-wise t-test comparisons” should be changed to “The post-hoc results are presented in Fig. X’.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #2: (No Response)

Reviewer #3: (No Response)

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Reviewer #2: No

Reviewer #3: Yes

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3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #2: No

Reviewer #3: Yes

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Reviewer #2: Yes

Reviewer #3: Yes

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Reviewer #2: Yes

Reviewer #3: Yes

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6. Review Comments to the Author

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Reviewer #2: The authors downplayed the experimental concerns that the common garden experiment exposed the Arctic population to higher temperature stress (10-20°C increase) compared to the Helgolandic population (2-7°C increase), which has an implication on all response variables measured and consequently on the interpretation of results, (indirectly) suggesting that Helgoland population is more tolerant and Arctic population more susceptible to ocean warming.

The authors rebutted that “This paper does not aim to investigate whether populations will survive x degrees above their summer temperature. It aims to investigate whether this species has distinct thermal tolerances depending on the population of that same species; i.e., whether distinct populations of the same species have any functional differences at any temperatures. It is not an ecological question, it is an evolutionary question.”

The fact is they are comparing the two populations. How could they suggest one population is better than the other in tolerating stressful temperature condition, when absolute temperature values were used i.e. biased towards the habit temperature of one population and disregarded the ambient maximum summer temperatures the different populations are exposed to? The experiment could have designed +2, +4, +8, +16 °C increase relative to their highest summer temperature.

Organismal and/or population responses to ecological stress factors have evolutionary consequences. It seems inappropriate to suggest this study is answering evolutionary question but not ecological question. How does the experimental design answer which evolutionary question? The above contention needs to be contextualize in the paper.

The authors are advised to reassess or tone down their data interpretation and discussion relative to the limitation of their experimental design.

Reviewer #3: This study examines the effects of different warming treatments on survival and performance of early life stages of kelp species from northern and southern range edges. The work is comprehensive and the results highly interesting, especially the larger conclusion that there are differences in thermal tolerances of geographically different populations of a species. Modeller often use a single thermal tolerance to predict range expansions or retractions of species with climate change, and results such as these challenge these simplisitic approaches and are highly important. The authors have done a good job of addressing the reviewers’ comments. However, I suggest that the temperature treatments are heat spikes, which is consistent with the Hobday et al. definition of extreme temperature events shorter than 5 days. I would also mention heatwaves in the ms again (e.g. revert to previous wording on line 62). The removal of this from the manuscript is a missed opportunity to tie these experiments in with the larger literature on MHWs. The authors have responded well to the criticisms of reviewer 2, and their further clarification of the research question was appropriate.

Minor comments by line.

Line 24. Arctic.

Line 128 5 sporophytes is not that many. Can you justify why so few adults are representative of the larger populations in these areas?

Line 266. didn’t should not be contracted here and throughout.

Table 1. report error

Line 382. For clarity, be more specific as to how they influence recruitment capacity.

Line 385. Similar to what? Would be helpful to be more specific.

Table 4. Check significant digits, there is no need for 3 decimal places.

Line 448. 28 °C conditions are survived for…

Line 452. Not sure you need (=L. schinzii) here, the species name pallida is established no?

Line 470. Why are the species names reported in this way… ‘L. schinzii (=L. pallida) [30]; Eckloniopsis’ ? This is not consistent with previous paragraph.

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Reviewer #2: No

Reviewer #3: No

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PLoS One. 2020 Jun 30;15(6):e0235388. doi: 10.1371/journal.pone.0235388.r004

Author response to Decision Letter 1


23 May 2020

I have two reviews on my desk now, but unfortunately with different recommendations: accepted with minor comments (newly invited reviewer3), and a major revision with more serious remarks (reviever2); some of which I will bring up below:

1) Statistical analyses were not performed rigorously. In this case, I reviewed the statistical analyses by myself and the comments could be found below in the 'Editorial Statistical revision' section.

We very much appreciate the Editor’s suggestions with regard to the statistical analyses. All the recommended changes have now been implemented to improve the statistical analyses.

2) The results do not support the conclusions. The stress levels were confused by the authors with temperature levels. Studied populations were not directly comparable because there were different stress levels on each (the Arctic 10-20°C increase vs Helgoland 2-7°C increase). Therefore, the conclusion about a higher stress tolerance in Helgoland population is not supported and could be the result of different experimental design.

This point is addressed directly in our responses to reviewer #2

3) The experimental design and results did not allow to conclude about evolutionary consequences related to adaptation, as the authors suggested. The results should be interpreted more directly and as straight as possible. Moreover, the response for acclimation/acclimatisation should not be confused with adaptation.

This point will be addressed directly in our responses to reviewer #2.

Editorial Statistical revision

1) This study was performed on the insufficient number of replications. It is a statistically inappropriate idea to have more factor levels than samples per level (n=4). Such sample size is also insufficient to trust S-W normality test and, what is more important, it reduces the statistical power of ANOVA (likelihood of rejecting the H0 when it actually should be rejected, a type II error).

We accept the criticism regarding the insufficient number of replications used in this study and therefore we implemented all the changes recommended by the Editor to improve the statistical power of the analyses (please see the answers below).

2) For the reason of heterogeneity of variance in factor levels and both types of distribution skewness in the data, the Box-Cox transformation should be performed prior to all analysis.

Only the normalized sporophyte density showed heterogeneity of variance and distribution skewness and therefore these data were transformed via Box-Cox as suggested.

3) Because of low number of replications, PERMANOVA with PERMPDISP should be applied instead of all ANOVA type analyses, which would also help to unify the interpretation of the results. If the PERMDISP reviled heterogeneity, a short information (*) in the tables is required and short comments in results or discussion about how data quality could influence the results.

We appreciate the Editor’s suggestion and all data were analysed with PERMANOVA and PERMDISP to unify the results. Whenever PERMDISP revealed heterogeneity in significant main effects or interactions found with PERMANOVA, this information was included in the manuscript.

4) Despite the first reviewer’s suggestion, my recommendation is to use the same level of alpha α = 0.05 in all models/tests to unify their sensitivity, and to allow for comparisons between the models and results interpretation. The significance level should be mentioned only once in the methods section and removed from the results and tables.

The Editor’s suggestion was accepted. The level of alpha α = 0.05 was implemented in all tests. This information was included only in the methods section (Line 312).

5) In all PERMANOVA tables the SS for residuals (unexplained variation) should also be shown. It allows the readers to calculate the percent of total variation explained by tested factors if needed.

As suggested, the values of SS for residuals were included in all PERMANOVA tables.

6) In all tables the exact value of probability should be presented with the exception of p<0.001. The values of SS, MS and pseudo-F should be rounded to two decimal places.

As recommended, the exact value of probability was shown in the tables and the SS, MS and pseudo-F values were decreased to two decimal places.

7) The “Statistical analysis for” phrase should be removed from all tables’ captions and the name of analysis - PERMANOVA should be added. Also “Post-hoc analyses were performed using pair-wise t-test comparisons” should be changed to “The post-hoc results are presented in Fig. X’.

The suggestion of the Editor was accepted and we have replaced “statistical analysis” by “PERMANOVA” and “Post-hoc analyses were performed using pair-wise t-test comparisons” by “The post-hoc results are presented in Fig. X” in all tables.

Reviewer #2:

The authors downplayed the experimental concerns that the common garden experiment exposed the Arctic population to higher temperature stress (10-20°C increase) compared to the Helgolandic population (2-7°C increase), which has an implication on all response variables measured and consequently on the interpretation of results, (indirectly) suggesting that Helgoland population is more tolerant and Arctic population more susceptible to ocean warming.

The comments of the reviewer refer to a different research question than the one in this paper. This paper aims to discover if different populations of the same species have distinct thermal tolerance limits and responses. This paper never did aim to test local responses to future effects of global warming (by comparing increases in temperatures of the same number of degrees above the temperature in which populations live locally). The referee’s comments are very interesting for any other paper with a research question about effects of oceanic warming among distinct populations, but are not relevant to this paper which asks the research question of whether individuals of the same species have distinct thermal tolerance range limits, as hypothesized if there is local selection in populations living in distinct habitats.

The authors rebutted that “This paper does not aim to investigate whether populations will survive x degrees above their summer temperature. It aims to investigate whether this species has distinct thermal tolerances depending on the population of that same species; i.e., whether distinct populations of the same species have any functional differences at any temperatures. It is not an ecological question, it is an evolutionary question.”

The fact is they are comparing the two populations. How could they suggest one population is better than the other in tolerating stressful temperature condition, when absolute temperature values were used i.e. biased towards the habit temperature of one population and disregarded the ambient maximum summer temperatures the different populations are exposed to? The experiment could have designed +2, +4, +8, +16 °C increase relative to their highest summer temperature.

Organismal and/or population responses to ecological stress factors have evolutionary consequences. It seems inappropriate to suggest this study is answering evolutionary question but not ecological question. How does the experimental design answer which evolutionary question? The above contention needs to be contextualize in the paper.

The authors are advised to reassess or tone down their data interpretation and discussion relative to the limitation of their experimental design.

By comparing populations near the cold and warm edges of the thermal envelope for this species, the goal is rather to test whether phenotypic traits in response to a common thermal stressor are stable over the species range, or whether they differ between populations from distinct environments, suggesting an underlying genetic component, that is an adaptive change between populations. In order to do this, a common garden approach was taken to remove as far as possible the effects of environmental history, hardening or pre-acclimation, so that they were exposed to the experimental conditions after living in a common thermal habitat for 3 years in the exact same temperatures. This is a standard approach to detect adaptation rather than acclimation. A 3-years common garden culture of haploid meiotic products (i.e., gametophytes) derived from the collected material, means that the cells under the experimental treatments had been dividing and growing in the exact same temperatures despite coming from distinct populations, as necessary to distinguish adaptation from acclimation. This is the best design for the stated null hypothesis that thermal phenotype is stable across the species thermal envelope, versus the alternative hypothesis that it differs between populations and that difference remains even when they have been living in the exact same thermal conditions. This design, by exposing the experimental material to a long-term common acclimation period followed by a common experimental design, therefore allows the inference of a genetic basis, that is adaptation and not acclimation, linked to past evolutionary history and selective forces, acting on the source population.

The reviewer suggests a design for an entirely different research question than ours outlined above, namely to assess whether temperature changes of a common delta magnitude relative to those prevailing at the population site would have a similar response magnitude and thereby similar or different ecological effects on each population. Although this is a meaningful research question, we did not follow this idea as we already possess a series of published and unpublished pre-information (Bolton and Lüning 1982, tom Dieck 1992, 1993, Bartsch et al. 2013, Martins et al. 2017, Franke 2019, King et al. 2019, Liesner et al. under revision) that suggest subtle response differences between populations of Laminaria digitata with respect to their thermal performance. Thus, the proposed delta treatments possibly would have generated quite foreseeable responses with the Helgoland individuals losing their fertility at sub-lethal temperatures and dying when surpassing their lethal limits and the Spitzbergen individuals entering their near optimal conditions. With our design and research question, in contrast, we are able to better resolve one aspect of the general response width of the meta-population of the investigated species which are e.g. required by modellers (see remark rev 3). We added a few words to the introduction (Line 91) highlighting the differences between these two research questions, ours more from a mechanistic point of view and the delta treatments concept better showing the direct ecological impacts under global warming, which are both relevant. We thereby hope to better inform the reader how to discriminate these two research cases that may not have been clear enough in our last manuscript version.

Finally, an interesting remark is that such experiments have both evolutionary implications (with regard to functional diversity within the species) and ecological implications. This is because unique thermal phenotypes or variants near the warm edge, if lost due to future climate impacts, either from extreme events or general poleward range shifts, may not be easily replaceable by natural migration or management actions from more northern populations.

Bartsch I, Vogt J, Pehlke C, Hanelt D. Prevailing sea surface temperatures inhibit summer reproduction of the kelp Laminaria digitata at Helgoland (North Sea). J Phycol. 2013; 49: 1061-1073.

Bolton J, Lüning K. Optimal growth and maximal survival temperature of Atlantic Laminaria species (Phaeophyta) in culture. Mar Biol. 1982; 66: 89-94.

Franke, K. (2019). Performance of different life cycle stages of the Arctic kelps Laminaria digitata and Saccharina nigripes along temperature gradients. Master's thesis. Bremen, Germany: University of Bremen.

King NG, McKeown NJ, Smale DA, Wilcockson DC, Hoelters L, Groves EA, et al. Evidence for different thermal ecotypes in range centre and trailing edge kelp populations. J Exp Mar Bio Ecol. 2019; 514-515: 10-17.

Liesner D, Fouqueau L, Valero M, Roleda MY, Pearson GA, Bischof K, Valentin K, Bartsch I. Heat stress responses and population genetics of the kelp Laminaria digitata (Phaeophyceae) across latitudes reveal differentiation among North Atlantic populations. Submitted

Martins N, Tanttu H, Pearson GA, Serrão EA, Bartsch I. Interactions of daylength, temperature and nutrients affect thresholds for life stage transitions in the kelp Laminaria digitata (Phaeophyceae). Bot Mar. 2017; 60: 109-121.

tom Dieck I. North Pacific and North Atlantic digitate Laminaria species (Phaeophyta): hybridization experiments and temperature responses. Phycologia. 1992; 31: 147-163.

tom Dieck I, de Oliveira EC. The section Digitatae of the genus Laminaria (Phaeophyta) in the northern and southern Atlantic: crossing experiments and temperature responses. Mar Biol. 1993; 115: 151-160.

Reviewer #3:

This study examines the effects of different warming treatments on survival and performance of early life stages of kelp species from northern and southern range edges. The work is comprehensive and the results highly interesting, especially the larger conclusion that there are differences in thermal tolerances of geographically different populations of a species. Modeller often use a single thermal tolerance to predict range expansions or retractions of species with climate change, and results such as these challenge these simplisitic approaches and are highly important. The authors have done a good job of addressing the reviewers’ comments. However, I suggest that the temperature treatments are heat spikes, which is consistent with the Hobday et al. definition of extreme temperature events shorter than 5 days. I would also mention heatwaves in the ms again (e.g. revert to previous wording on line 62). The removal of this from the manuscript is a missed opportunity to tie these experiments in with the larger literature on MHWs.

Because our research question is only and simply about discovering whether populations acclimated to common thermal conditions still remain different in thermal responses, at a particular set of temperatures in which such differences could be expected to happen, it is not really important for the question whether the tested set is called a heat wave or not. We are happy to leave the description of the experimental temperatures as it is, or to call it a heat wave. It really does not affect the research question or the conclusions, so we leave it up to the editor to decide whether to use this designation or not, given the disagreement among reviewers.

Minor comments by line.

• Line 24. Arctic.

As recommended, Artic was corrected to Arctic.

• Line 128 5 sporophytes is not that many. Can you justify why so few adults are representative of the larger populations in these areas?

We would like to clarify that we did not use sporophytes but rather male and female gametophytic progeny of each sporophyte. We agree that it would be preferable to use a wider gene pool from more parental sporophytes for the comparison of populations, but establishment of a next generation of individual gametophyte cultures is very labour- and time-consuming and this was the maximum manageable number of replicates. To generate sufficient vegetative gametophyte material to perform a replicated experiment such as ours requires at least 1-1.5 years (Bartsch 2018). In addition, we need the cultivation space. Thus to isolate and culture a sub-set of individual isolates from 5 sporophytes represents a good cost-time-space balance. The advantage of using individual gametophyte cultures is to investigate isolates from different populations/sites at the same time and cultivated under common conditions since the meiospore stage, thereby allowing to distinguish adaptation from acclimation/environmental history.

• Line 266. didn’t should not be contracted here and throughout.

In accordance with the reviewer comment, didn’t was changed to did not throughout the manuscript.

• Table 1. report error

As suggested, the values for residuals or errors were included in all statistical tables.

• Line 382. For clarity, be more specific as to how they influence recruitment capacity.

As recommended, this information was included in the text (Line 439).

• Line 385. Similar to what? Would be helpful to be more specific.

Similar recruitment patterns were observed in the normalized sporophyte density (Fig. 5) and the relative presence of female multicellular gametophytes with sporophytes (S2 Fig). As suggested, this information was included in the manuscript (Line 444).

• Table 4. Check significant digits, there is no need for 3 decimal places.

As recommended, the decimal digits were decreased in all statistical tables.

• Line 448. 28 °C conditions are survived for…

The gametophytes of L. digitata survived at 28ºC for 1 day as already described in the text. However, we recognize that this sentence was not clear and, therefore, we clarified this in the discussion section (Line 516).

• Line 452. Not sure you need (=L. schinzii) here, the species name pallida is established no?

Indeed, the species name L. pallida is established; however the study that we cited in the text was performed by tom Dieck in 1993, when it was still known as L. schinzii. Therefore, we decided to keep both the current and previous species names, so that the readers that are not familiar with the species name change can associate the tom Dieck (1993) work by realizing that L. schinzii was in fact L. pallida.

• Line 470. Why are the species names reported in this way… ‘L. schinzii (=L. pallida) [30]; Eckloniopsis’ ? This is not consistent with previous paragraph.

We agree with the Reviewer comment and we reported the current and previous species names in a consistent way thorough the manuscript, i.e., current species name [formerly known as]. L. pallida [=L. schinzii)] and Ecklonia radicosa [=Eckloniopsis radicosa] (Line 538).

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 2

Adrian Zwolicki

9 Jun 2020

PONE-D-19-17288R2

Thermal traits for reproduction and recruitment differ between Arctic and Atlantic kelp Laminaria digitata

PLOS ONE

Dear Dr. Martins,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

==============================

One final minor remark, please adjust the length of the abstract to the requirements of the journal. Which allow me to finally accept the mauscript.

==============================

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Academic Editor

PLOS ONE

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Reviewers' comments:

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PLoS One. 2020 Jun 30;15(6):e0235388. doi: 10.1371/journal.pone.0235388.r006

Author response to Decision Letter 2


13 Jun 2020

Answers to the Academic Editor and Reviewer comments:

Academic Editor:

One final minor remark, please adjust the length of the abstract to the requirements of the journal. Which allow me to finally accept the manuscript.

Reviewer 2:

Authors adequately addressed the concerns and supplied information in the introduction. Abstract is too long. Please edit concisely.

As recommended, the abstract was shortened to less than 300 words to meet the publication requirements of PLOS ONE.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 3

Adrian Zwolicki

16 Jun 2020

Thermal traits for reproduction and recruitment differ between Arctic and Atlantic kelp Laminaria digitata

PONE-D-19-17288R3

Dear Dr. Martins,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Kind regards,

Adrian Zwolicki, Ph.D

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Adrian Zwolicki

19 Jun 2020

PONE-D-19-17288R3

Thermal traits for reproduction and recruitment differ between Arctic and Atlantic kelp Laminaria digitata

Dear Dr. Martins:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

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Thank you for submitting your work to PLOS ONE and supporting open access.

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on behalf of

Dr. Adrian Zwolicki

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Fig. Absolute number of sporophytes after recovery.

    Absolute number of sporophytes from the North Sea and Arctic populations of Laminaria digitata after 27 days of recovery at 5°C (A) and 15°C (B) from different treatments (15°C dark, 15°C, 20°C, 22.5°C and 25°C DHS). Box plots with median, boxes for 25th and 75th percentiles and whiskers indicating min and max values (n = 4).

    (TIF)

    S2 Fig. Percentage of female gametophytes with sporophytes after recovery.

    Percentage of female multicellular gametophytes with juvenile sporophytes from the North Sea and Arctic populations of Laminaria digitata after 20 days of recovery at 5°C (A) and 15°C (B) from different treatments (15°C dark, 15°C, 20°C, 22.5°C and 25°C DHS). Box plots with median, boxes for 25th and 75th percentiles and whiskers indicating min and max values (n = 4).

    (TIF)

    Attachment

    Submitted filename: Response to Reviewers.docx

    Attachment

    Submitted filename: Response to Reviewers.docx

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting Information files.


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