Abstract
Marine heatwaves are increasingly subjecting organisms to unprecedented stressful conditions, but the biological consequences of these events are still poorly understood. Here we experimentally tested the presence of carryover effects of heatwave conditions on the larval microbiome, settlers growth rate and metamorphosis duration of the temperate sponge Crella incrustans. The microbial community of adult sponges changed significantly after ten days at 21°C. There was a relative decrease in symbiotic bacteria, and an increase in stress-associated bacteria. Sponge larvae derived from control sponges were mainly characterised by a few bacterial taxa also abundant in adults, confirming the occurrence of vertical transmission. The microbial community of sponge larvae derived from heatwave-exposed sponges showed significant increase in the endosymbiotic bacteria Rubritalea marina. Settlers derived from heatwave-exposed sponges had a greater growth rate under prolonged heatwave conditions (20 days at 21°C) compared to settlers derived from control sponges exposed to the same conditions. Moreover, settler metamorphosis was significantly delayed at 21°C. These results show, for the first time, the occurrence of heatwave-induced carryover effects across life-stages in sponges and highlight the potential role of selective vertical transmission of microbes in sponge resilience to extreme thermal events.
Keywords: complex life cycle, metamorphosis, vertical transfer, microbiology, developmental plasticity, adaptation
1. Background
Marine heat waves (MHWs) are periods of extreme sea surface temperatures that can occur at a variety of scales, from a few miles to an entire ocean, and can last from a few days to years [1]. Although our knowledge of the physical characteristics of MHWs has rapidly increased over the past decade, the effects of MHWs on biological processes are still not well understood and require particular attention [2]. MHWs have already caused massive coral bleaching events in the tropics [3] and mass mortalities of habitat-forming invertebrates, including sponges and gorgonians, in temperate and polar seas [4–6], and the frequency and intensity of MHWs are predicted to increase [7].
The advantages for sessile benthic organisms of having a planktonic larval stage include high dispersal potential and increased ability to withstand local extinction [8,9]. Pre- and post-settlement larval phases are critical stages to consider when trying to understand the effects of climate change on marine invertebrates [10]. Carryover effects exist when an individual's previous experience explains its current performance, and this can occur between developmental and life-history stages [11]. Temperature is regarded as an important environmental cue for developmental processes [12] and extreme temperatures can have substantial effects on an organism's metamorphosis, and influence timing, duration, developmental changes and energy costs, with consequences for the fitness of metamorphosing individuals [13].
Sponges are some of the most abundant organisms in benthic marine environments [14], and are present at all latitudes, from coastal waters to the deep sea, with more than 9200 described species [15]. Several studies have correlated the phenology of coastal sponge species to sea surface temperature. In particular, annual temperature peaks have been correlated with the highest percentage of reproductive individuals, as well as to greater oocyte size and density, and the occurrence of larval blooms of several sponges in temperate seas [16–20]. Therefore, it is likely that extreme thermal events will affect the developmental processes along with pre- and post-settlement stages of temperate sponges.
Sponges are characterized by complex microbial symbiotic communities that are species-specific and tend to be stable in the face of environmental change [21–23]. The combination of the sponge host and microbial symbionts is referred to as the ‘holobiont’ [24], which in some cases, has been identified to be the result of co-evolutionary processes [25]. Sponge symbiotic microbial communities can contribute to sponge metabolism and the production of secondary metabolites [26]. These compounds can deter predators and give sponges advantages in spatial competition [27].
Vertical transmission occurs when microbes belonging to a parental sponge are transferred to gametes or larvae [28–31] and it is regarded as a fundamental process in ensuring the persistence of some components of the holobiont across generations [32]. MHWs have been shown to cause microbial dysbiosis and tissue necrosis in several temperate sponges [33–36]. However, whether thermally driven microbial shifts affect vertical transmission and the larval microbial community in sponges is currently unknown.
Crella incrustans is an abundant subtidal sponge distributed in temperate Pacific waters and is increasingly considered a model organism in eco-physiological studies [37–39]. Like many Demospongiae in temperate seas [40], C. incrustans is a simultaneous hermaphrodite that broods and releases larvae during the summer months [41]. In this study, we experimentally exposed C. incrustans to temperatures recorded during a recent MHW in New Zealand, which occurred during the summer of 2018 and lasted for 11 days at 20.5 ± 0.64°C (daily mean and s.d., in Wellington Harbour). The specific aims of our study were: (1) to identify any modifications in morphology and microbial community of adult sponges under heatwave conditions; (2) to assess carryover effects of parental changes on the larval microbial community, and (3) on survival, growth and metamorphosis rates of early settlers grown under prolonged heatwave temperatures.
2. Methods
To test our hypothesis, we performed two experiments (figure 1). In experiment 1, we exposed reproductive individuals of C. incrustans to heatwave conditions (10 days at 21°C) and assessed changes in sponge morphology and in the associated microbial community of adults and larvae. In experiment 2, we sampled sponge larvae generated during the first experiment, exposed them to prolonged heatwave conditions (up to 30 days at 21°C) and assessed the mortality, growth rate and duration of metamorphosis of the resulting settlers.
Figure 1.
Schematic representation of the experiments and sampling design. Sponge larvae were randomly sampled from adult sponges in control or MHW conditions, either preserved for microbial community analyses or exposed to further control or prolonged MHW conditions.
(a) . Experiment 1: effects of heatwave conditions on adult sponges
On the last week of September 2020, samples of C. incrustans (approx. 25 cm2) were haphazardly collected from separate sponges, at least 5 m apart, by SCUBA diving at 3 m in Wellington Harbour, New Zealand (41°17′32.1″S, 174°50′00.7″E). Sponges were collected under Special Permit (711-8730069, Ministry of Primary Industry, NZ). To allow sponge tissue regeneration, sponges were tied with elastic wire to ceramic tiles and left underwater at the same sampling site and depth for three months after collection. On the first week of January 2021, sponges (n = 48) were moved to the Wellington University Coastal Ecology Laboratory and left to acclimate in experimental tanks (n = 8 sponges per tank) for eight days (acclimation period).
Sponges were kept in 6 l flow-through tanks (n = 3 control and n = 3 heatwave conditions), with a flow rate of approximately 30 ± 2.5 l h−1 of 10 µm filtered seawater (similar to [42]). Aquarium heaters, (200 W, Eheim, Germany) and a chiller (HC-500A, Hailea, China), interconnected with an aquarium temperature controller system (Apex Classic, Neptune Systems, USA) and a temperature probe (YSI Pro30, USA), were used to monitor and modify water temperature during the experiment (see electronic supplementary material, table S1 for experimental temperatures and electronic supplementary material, figure S1 for experimental set-up).
During the acclimation period, the water temperature was maintained at a similar temperature as the sampling site on the day of collection (16.8 ± 0.2°C, mean and s.d. at the sampling site and 17.3 ± 0.1°C mean and s.d. under laboratory conditions; electronic supplementary material, table S1). After the acclimation period, the water temperature was increased 0.5°C each day [43,44] for 10 days, up to 21°C, in treatment tanks. Sponges were then maintained at 21°C for 10 days. These conditions are analogous to the temperatures recorded in Wellington Harbour during the MHW that occurred during January 2018 (electronic supplementary material, figure S2).
To facilitate the collection of sponge larvae from experimental tanks, each sponge was placed within a larval trap with 48 µm mesh (electronic supplementary material, figure S1). Larval release inside larval traps was monitored daily. The occurrence of sponge morphological modification in response to high temperatures were recorded every day. Sponges with ≥25% necrotic tissue were considered dead and were removed from the experimental tanks [39].
(b) . Microbial community analysis of adult and larval sponges
Samples of adult sponges and sponge larvae were collected for microbial community characterization after 10 days under control and treatment conditions (experiment 1, figure 1). Samples of adult sponges (3 cm3, including pinacoderm, mesohyl and choanoderm) were sampled with a sterile scalpel and forceps from random sponges in control (n = 5) and MHW conditions (n = 10), including sponges presenting tissue regression and necrosis (n = 5 and n = 5, respectively). Samples were then flash-frozen in liquid nitrogen and stored at −80°C.
Sponge larvae generated from different sponges either in control or heatwave conditions were collected by sterile Pasteur pipettes, transferred into sterile tubes, washed three times in filtered seawater (0.2 µm), snap-frozen in liquid nitrogen and stored at −80°C.
Microbial DNA was extracted from adult sponge samples (n = 15) and groups of 20 larvae (n = 8 groups of larvae that were derived from multiple control adult sponges and n = 8 groups of larvae derived from multiple MHW-exposed adult sponges) using a DNeasy PowerSoil Pro Kit following the manufacturer's protocol (Qiagen, Germany). We used Nanodrop and gel electrophoresis on 1% agarose gels containing 0.5 µg ml−1 SYBR Safe Gel Stain (Invitrogen, Carlsbad, USA) to assess the concentration and quality of the extracted gDNA.
Amplicon library construction and sequencing were performed by Macrogen (Seoul, South Korea) on the MiSeq platform (Illumina). To target the V3–V4 region of the 16S rRNA gene, we used the primers Bakt_341F (5′-CCTACGGGNGGCWGCAG-3′) and Bakt_805R (5′-GACTACHVGGGTATCTAATCC-3′) [45]. For library preparation, gDNA was PCR amplified with reaction buffer, 1 mM of dNTP mix, 500 nM each primer, and Herculase II Fusion DNA polymerase (Agilent Technologies, Santa Clara, CA). PCR conditions were: 3 min at 95°C for initial denaturation, followed by 25 cycles of denaturation at 95°C for 30 s, annealing at 55°C for 30 s and elongation at 72°C for 30 s, followed by a final extension (5 min at 72°C). Resulting PCR products were purified with AMPure XP beads (Agencourt Bioscience, Beverly, MA) and quantified using qPCR according to the qPCR quantification protocol guide (KAPA Library Quantification Kit Illumina Platforms). Purified amplicons were indexed using the Nextera XT DNA Library Preparation Kit (Illumina). The final purified product was quantified using the TapeStation D1000 ScreenTape (Agilent Technologies, Waldbronn, Germany).
Raw sequences were pre-processed and zero-distance operational taxonomic units (zOTUs) were classified [46]. Raw sequences were filtered, trimmed and primers were removed using USEARCH v. 11.0.667 and TRIMMOMATIC version 0.38. Unique sequences were generated using unoise3 and chimera were removed with uchime2. For taxonomic assignment of zOTUs, the Bayesian Last Common Ancestor (BLCA) algorithm was applied to compare sequences against the Genome Taxonomy Database, release 95 [46,47].
(c) . Experiment 2: effects of prolonged heatwave conditions on sponge settlers
Concurrently with the experiment on adult individuals (experiment 1; figure 1), a heatwave-exposure experiment was performed on the post-settlement developmental stages of C. incrustans (experiment 2; figure 1), also defined as ‘sponge settlers’ [48]. To assess carryover effects of MHW conditions on survival, growth rate and duration of metamorphosis of sponge settlers under prolonged heatwave conditions, newly released larvae from experiment 1 were collected from random adults separately for each treatment with sterile Pasteur pipettes. After collection, each group of larvae (n = 10) was placed in a sterile Petri dish (34 mm in diameter), filled with 14 ml of FSW (0.2 µm) and placed in control or heatwave conditions, in water baths within random experimental tanks (electronic supplementary material, figure S1). Larvae generated by sponges under control or heatwave conditions were, in turn, exposed to control or high temperatures (i.e. 21°C), resulting in four combinations of treatments.
The overall number of Petri dishes and settlers generated was n = 32 and n = 165, respectively. Settler health and the formation of the first osculum, which was considered the completion of metamorphosis [49], were monitored under a dissecting microscope (Olympus SZ61, 45×) every day, up to 30 days after settlement. Filtered (0.2 µm) and pre-acclimatized (17°C or 21°C) seawater was replaced in each Petri dish during daily monitoring of settlers. To calculate the growth rate of settlers under the four treatment combinations (i.e. larvae derived from control and heatwave-exposed sponges and placed in heatwave or control conditions), five random settlers, within three random Petri dishes, were selected on the day of settlement (n = 60 settlers and n = 12 Petri dishes) and photographed with a Canon EOS 70D digital camera under a dissecting microscope (Olympus SZ61) every two days for 20 days. To calculate the surface area of sponge settlers, pictures were analysed with ImageJ (v. 1.51j8, Rasband, National Institute of Health).
(d) . Statistical analyses
All statistical analyses were carried out in R 4.1.0 [50]. Kaplan–Meier analyses were performed to calculate the probability of the occurrence of tissue regression or necrosis, and sponge and settler probability of survival under control and heatwave conditions. The relative p-values were obtained with survfit of the package survival [51].
A mixed effects logistic regression (R package lme4) was used to calculate differences in sponges producing and not producing larvae between the two temperature treatments [52]. The dependent variable was the presence (or absence) of larvae, fixed factors used in the model were ‘parental sponge condition’ (control or heatwave temperatures), whereas ‘experimental tank’ was a random factor. Effects of fixed factors were tested by ANOVA with the package car [53].
Differences between sponge and larval microbial communities under different thermal treatments (control or heatwave temperatures) were explored using non-metric multidimensional scaling (nMDS) based on Bray–Curtis dissimilarity and by principal coordinates analysis based on the Sørensen dissimilarity index. To calculate significant differences in sponge and larval microbial communities under control or heatwave temperatures, we used generalized linear models for multivariate abundance data (manyglm) implemented in the R package mvabund [54]. To test the model, anova was used, with 999 bootstrap interactions and the ‘montecarlo’ method of resampling [54]. To identify significant changes in the composition of microbiomes, the ancombc package was used and p-values were Benjamini-Hochberg corrected [55].
Significant changes in settler area were estimated by linear mixed models with the lme4 package [52]. To meet the normality assumptions, the area values were square-root transformed. The fixed factors used in the model were ‘time’, ‘parental sponge condition’ (control or heatwave temperatures) and ‘settler condition’ (control or heatwave temperatures), whereas ‘Petri dish’ and ‘settler’ were random factors. Effects of fixed and random factors were tested by anova and ranova, with the package lmerTest [56]. Pairwise comparisons were calculated on estimated marginal means using the emmeans and emtrends functions of the emmeans package [57], and p-values were corrected with the Benjamini–Hochberg procedure.
Significant differences in the duration of metamorphosis for settlers exposed to control and heatwave conditions were calculated by linear mixed models with the lme4 package [52]. The fixed factors in the model were the ‘mean number of days until the formation of an osculum in each Petri dish’, ‘parental conditions’ and ‘settler conditions’, while ‘tank’ was a random factor. Effects of fixed and random factors were tested by ANOVA and RANOVA [56].
3. Results
(a) . Effects of heatwave conditions on adult sponge morphology and survival
All adult sponges showed tissue regression and 37.5% necrosis in response to MHW conditions. Kaplan–Meier analyses showed a significant decrease in the probability of morphological integrity (absence of tissue regression; p < 0.0001) and sponge survival (absence of necrosis; p = 0.001) after 10 days at 21°C (electronic supplementary material, figure S3 and table S2).
Sponges produced larvae in both treatments; 25% of sponges produced larvae in the control and 45.8% in heatwave conditions, respectively, although this difference was not significant (p = 0.14) (electronic supplementary material, table S3).
(b) . Effects of heatwave conditions on adult and larval sponge microbiomes
A total of 5 679 582 16S rRNA gene raw reads, 1 899 871 clean reads and 1748 zOTUs (with 61 286.16 ± 13 485.01 as mean and s.d. of reads per sample) were obtained from adult and larval samples (electronic supplementary material, figure S4). Non-metric multidimensional scaling (nMDS) based on Bray–Curtis dissimilarity (figure 2) and generalized linear models for multivariate abundance data testing showed significant differences between sponge and larval microbial communities (p = 0.001; electronic supplementary material, table S4a).
Figure 2.
Non-metric multidimensional scaling (nMDS) based on Bray–Curtis dissimilarity representing: overall sponge and larval microbial communities; microbial communities of sponges in control and heatwave conditions (including sponges that presented tissue regression and necrosis); microbial communities of larvae produced by sponges in control and heatwave conditions.
Overall, the multivariate test showed that the microbial community of adult sponges in control conditions was significantly different from the microbial community of heatwave-exposed sponges (p = 0.001). Pairwise tests revealed significant differences in the microbial communities between sponges in control conditions and those showing tissue regression (p = 0.001) and necrotic tissue (p = 0.001) under heatwave conditions (electronic supplementary material, table S4b).
Principal component analysis based on the Sørensen dissimilarity index showed that these differences were not only driven by the relative abundances of zOTUs but also by changes in microbial community composition (electronic supplementary material, figure S5). The microbial community of sponge larvae showed higher beta-diversity than the adult microbial community (electronic supplementary material, figure S5).
The microbial community of C. incrustans in control conditions was mainly composed of Gammaproteobacteria belonging to the Areniclellales order [58], previously called UBA10353, and LS-SOB sp001543005 species, representing 76.4–94.8% of the overall relative read abundance of the community (figure 3). Next most abundant was Pseudomonadales and Enterobacterales, which represented up to 19.8% and 1.4% of the microbial community at the order level, respectively.
Figure 3.
Bubble plot representing the relative abundance of zOTUs in control and heatwave conditions and across adult and larval sponge life-stages. The size of each bubble corresponds to the abundance of zOTUs standardized for the mean sequencing depth and square-root transformed. Numbers in brackets represent level of identity of zOTUs of each bacterial species. ANCOM-BC results at the species level (electronic supplementary material, table S9) are also represented: (+) indicates significant differences between control sponges and sponges exhibiting necrosis; (++) indicates significant differences between control sponges and sponges exhibiting tissue regression; (+++) indicates significant differences between larvae produced by control sponges and sponges exhibiting tissue regression. Only zOTUs more abundant than 0.001 are represented.
Compared to sponges in control conditions, heatwave-exposed sponges with tissue regression were characterized by a significant decrease in Arenicellales (p = 0.01; electronic supplementary material, table S5). There was also a significant increase of Flavobacteriales (p = 0.01), representing 0.8% in control sponges and up to 7.3% of the microbial community in sponges with temperature-induced tissue regression.
Sponges that showed tissue necrosis in response to MHW conditions were characterized by a significant decrease in Arenicellales (p < 0.001), which represented 12.4–74.1% of the microbial community. There was also a significant increase in Micavibrionales (p < 0.001; electronic supplementary material, table S5). In some cases, Clostridiales represented up to 41% of the microbial community.
We found significant differences between the microbial communities of larvae produced by control and heatwave-exposed sponges (p = 0.001; figure 1; electronic supplementary material, table S4c). The microbiome of larvae produced by control sponges was comprised 49.8–99.1% Arenicellales (LS-SOB sp001543005 species; figure 3), plus Pseudomonadales and Enterobacterales, which comprised up to 32% and 8.9% of the microbial community, respectively. The microbial community of larvae produced by heatwave-exposed sponges that displayed tissue regression had a higher relative abundance of Arenicellales (86–98.9%). Additionally, the microbial community of larvae produced by heatwave-exposed sponges was characterized by a significant increase in the bacterium Rubritalea marina (p = 0.01), which belongs to the class Verrucomicrobiae (figure 3; electronic supplementary material, table S5).
(c) . Effects of prolonged heatwave conditions on sponge settlers
Of a total 165 sponge settlers across treatment and control conditions, only 14 died within 30 days after settlement. Overall, when considering settlers derived from control and heatwave-exposed sponges, 4% of settlers died in control and 12% under high-temperature conditions. A cut off value of p ≤ 0.05 was interpreted as significant and according to the Kaplan–Meier analysis, MHW conditions significantly decreased the probability of survival of sponge settlers (p = 0.043) (electronic supplementary material, figure S6 and table S6a). There was no statistical support for a significant effect of parental treatment on settler mortality (p = 0.3) (electronic supplementary material, table S6b).
Settler area increased significantly over time under all treatments (F1, 487.1 = 241; p < 0.0001; figure 4; electronic supplementary material, table S7). Settler growth rate was significantly influenced by treatment (F1, 487.1 = 7.2; p = 0.007). MHW conditions experienced by the parental sponge also influenced settler growth rate (F1, 9.9 = 4.9; p = 0.051). In particular, settlers derived from control sponges and exposed to control conditions grew significantly faster than settlers exposed to heatwave temperatures (p = 0.005); their growth rates were 0.0124 mm2 day−1 and 0.0065 mm2 day−1, respectively. By contrast, settlers derived from heatwave-exposed sponges showed no difference in growth rate (p = 0.446) when exposed to control (0.0123 mm2 day−1) or heatwave conditions (0.0109 mm2 day−1). Settlers derived from MHW-exposed or control sponges showed significantly different growth rates (p = 0.048) when exposed to treatment temperatures but not control conditions (p = 0.964).
Figure 4.
Scatter plots and relative linear regressions representing the growth rate of sponge settlers originating from control or heatwave-exposed sponges and in control or prolonged heatwave conditions, for up to 20 days of experimental treatment.
The duration of settlers metamorphosis (figure 5) under prolonged heatwave conditions was significantly (p = 0.046) influenced by parental conditions (electronic supplementary material, table S8).
Figure 5.
Ridgeline plots showing the occurrence of new oscula in sponge settlers for up to 30 days of experimental treatment.
4. Discussion
Extreme temperatures occurring during MHWs can affect biological, physiological, and behavioural processes, but for most organisms, these aspects have not yet been studied [2]. Our study showed significant impacts of heatwave conditions not only on sponge morphology and microbial community, but also our results revealed the occurrence of carryover effects on sponge early stages at the microbial and developmental levels.
(a) . Heatwave conditions significantly reduce tissue integrity and survival probability in adult sponges
Heatwave conditions significantly affected the morphology and survival of C. incrustans. All sponges exposed to 21°C for 10 days showed tissue regression in response to thermal stress and 37.5% of them also suffered necrosis. Sponges can display high levels of phenotypic plasticity in response to environmental conditions [59,60]. In some cases, sponges can undergo specific morphological modifications to overcome periods of physiological stress [61]. Tissue regression is known as a reversible morphological modification that some sponge species display in response to thermal stress [39,62,63]. Tissue regression involves an internal and external reorganization of sponge anatomy, including the reabsorption of the aquiferous system and, in some cases, reproductive structures including embryos and larvae [60]. Crella incrustans is a viviparous sponge that broods embryos and releases fully developed larvae through the canals of the aquiferous system during the Australasian summer [41]. Heatwave conditions and tissue regression did not inhibit C. incrustans from releasing larvae and we detected no significant effects of these conditions on larval release. Previous histological observations of C. incrustans found that only 57% of sponges sampled between January and March 2020 (n = 30) had embryos at different developmental stages [41]. This indicates that not all of the sponges we collected released larvae during experiment 1, and this probably reflects natural variability present in the source population. In some cases, spawning events under stressful conditions are thought to be the last chance that organisms may have to escape an environmental stressor [64]. Larval release under heatwave-induced tissue regression may represent a reproductive strategy to overcome MHWs in C. incrustans.
The timing of MHWs in relation to organism phenology is an important aspect that needs further investigation. Between 2015 and 2016 a winter marine heatwave was correlated with failed spawning in several marine invertebrates in the Northeastern Pacific [65]. Considering that tissue regression is known as a morphological response of sponges to extreme temperatures in both experimental and field conditions [62,66], marine heatwaves occurring at the beginning of the reproductive period have the potential to adversely impact early gametogenesis and embryogenesis in sponges by causing the reabsorption of reproductive structures and consequently may disrupt the entire phenological event. It will be important in the future to examine the effects of the MHW timing on phenological events such as gametogenesis and embryogenesis not only in sponges but also in other marine organisms.
(b) . Heatwave conditions modify sponge and larval microbiome
Along with necrosis, tissue regression and mortality, heatwave conditions caused significant changes in the microbiome of adult sponges, with carryover effects on the larval microbial community (figures 2 and 3).
C. incrustans can be considered a ‘low microbial abundance’ sponge [67], since its microbiome is characterized by a relatively low microbial diversity, dominated by Gammaproteobacteria belonging the LS-SOB family (order Arenicellales). Bacterial taxa belonging to the Arenicellales were previously found also to be associated with some deep-sea [68–70] and coastal sponges [71,72]. Metagenomic sequencing of coastal and deep-sea sponges revealed that sulfur oxidation by Arenicellales is potentially relevant to sponge metabolism [68,73]. In the sponge Mycale hentscheli, Arenicellales are known to produce defensive polyketide compounds [72]. Considering the high metabolic potential of Arenicellales associated with other sponge species [72,73], the high abundance of LS-SOB sp001543005 (figure 3) in both adults and larvae suggests that this microbe plays an important role in the biology of C. incrustans.
In adult C. incrustans, heatwave conditions led to a relative increase in Flavobacteriales. Bacteria belonging to this order are known to be opportunistic and primarily non-symbiotic bacteria, that increase in abundance during physiological stress and disease in sponges [74,75], as well as other marine organisms such as coralline algae and corals [76–78].
In addition to high relative abundance of Flavobacteriales, sponges with tissue necrosis exhibited a relative increase in Micavibrionales, while in some cases, Clostridiales represented up to the 41% of the microbial community. Bacteria belonging to these orders are often found in the presence of temperature-driven necrosis in tropical and temperate sponges [34,79,80]. These groups are often characterized by motility and anaerobic metabolism [79,80]. In C. incrustans, the increased abundance of bacteria that are likely non-symbiotic and opportunistic was consistent with the occurrence of tissue decay and sponge mortality in response to heatwave conditions. Concurrently with the introduction of these opportunistic bacteria, adult sponges showed a relative decrease in symbiotic species including LS-SOB sp001543005. However, it should be noted that the relative decrease in symbiotic microorganisms may not be due to an absolute decrease in their population, but rather a result of the proliferation of opportunistic bacteria. In addition, microbial communities of thermally stressed sponges were highly divergent and dispersed than microbial communities of control sponges (electronic supplementary material, figure S5). These results are consistent with the ‘Anna Karenina principle’ for organisms-associated microbiomes, in which individuals displaying dysbiosis have higher variability in their microbial community composition compared to healthy individuals [81].
Heatwave-induced microbial modifications of adult sponges led to carryover effects on the larval microbial community. Our results provide support for the occurrence of vertical microbial transfer in C. incrustans and suggest that larval microbial communities exhibit greater variability than those of adults. Previous studies have also reported that in addition to bacteria dominating the adult microbiome, sponge larvae can present less abundant, stochastically transmitted bacteria [32]. This level of stochasticity in vertical transmission could account for the higher beta-diversity observed in the microbial community of C. incrustans larvae, and may provide high functional plasticity in response to various environmental conditions for the recruits. Furthermore, our results showed the occurrence of selective vertical transmission in sponge larvae released under heatwave conditions. Larvae produced by control sponges were characterized by a higher relative abundance of Arenicellales, followed by Pseudomonadales and Enterobacterales, as seen in adult sponges. By contrast, the microbial community of larvae released during the simulated MHW did not change in the same way as the microbiome of parental sponges. Indeed, sponge larvae produced under heatwave conditions showed a relative increase in LS-SOB sp001543005, that in thermally stressed adult sponges decreased substantially. These larvae were also characterized by a lower relative abundance of Flavobacteriales, that in contrast increased significantly in adult sponges exposed to high temperatures. In addition, the relative abundance of the bacterial species Rubritalea marina significantly increased in larvae produced under heatwave conditions (figure 3), despite not being an abundant species in parental sponges.
The microbial community of developing sponges is composed of both bacteria acquired from the microbial pool of the parental sponge and other bacteria acquired horizontally from the surrounding environment [31,32]. Generally, larval microbial community is compositionally similar to that of the parental sponge and the acquisition of symbionts from the environment starts after the opening of the first osculum in sponge settlers [32,82]. In C. incrustans, several bacterial taxa, such as bacteria belonging to the genus Endozoicomonas [83], seemed to be horizontally acquired during post-settlement stages. A recent study suggested that changes in pH and temperature may cause variations in the transmission of low-abundance microbial species and that these variations might be involved in sponge acclimatization to new environments [75]. Rubritalea marina belongs to the phylum Verrucomicrobia and was originally isolated from the Mediterranean sponge Axinella polypoides [84]. Bacteria belonging to the genus Rubritalea are often found in association with sponges, with several strains producing carotenoid pigments and squalene [85]. Considering the very low relative abundance of R. marina in adult C. incrustans and the consistent presence of this microbe in larvae derived from heatwave-exposed sponges, we suggest the occurrence of selective vertical transmission of this bacterium under high temperature conditions. The possible functions of R. marina during thermal stress in adult and the early stages of development in C. incrustans require further investigation.
(c) . Heatwave conditions have carryover effects on sponge early life-history traits
Our results showed that, despite prolonged heatwave conditions negatively affecting the survival of sponge settlers, the ones produced by heatwave-exposed sponges showed significant carryover effects on settler growth rate and metamorphosis duration.
Consistent with these results, previous experiments on C. incrustans showed an overall decrease in the survivability of sponge settlers under MHW conditions [39]. In addition, the growth rate of settlers produced by heatwave-exposed sponges was similar under high-temperature and control conditions. By contrast, the growth rate of settlers originating from control sponges was significantly impacted by heatwave temperatures (figure 4). It is important to note that certain outliers in settler growth rates, particularly under high temperatures, can arise from natural variability within the population in response to thermal stress. Future studies could shed light on possible differences in developmental performance of larvae derived from different parental sponges under high temperatures.
In several marine invertebrates, larval developmental history has been shown to influence the performance of early settlers [86]. For example, past studies showed that high temperature conditions during development and larval stages can have negative latent effects on post-settlement processes (e.g. growth and survival) in some echinoderm and mollusc species. In some cases, high temperatures have also caused positive carryover effects from one life-stage to the other, such as higher thermal resistance in amphipods [87], larger juveniles in the shortspined sea urchin [44] and higher survival rates in the Olympia oyster [88]. In C. incrustans, most settlers produced by heatwave-exposed sponges survived under heatwave temperatures and grew at similar rates to settlers maintained under control conditions. Considering that the experimental period of exposure for settlers (up to 30 days) was a much longer period compared to MHWs recorded in C. incrustans' natural habitat (5–12 days in the last 13 years in Wellington Harbour; electronic supplementary material, figure S2), we conclude that developmental exposure to heatwave conditions might have positive carryover effects on settler growth rate under heatwave conditions in this sponge species.
Parental exposure to MHW conditions caused carryover effects on the duration of metamorphosis of sponge settlers under prolonged heatwave conditions. Indeed, sponge settlers originating from heatwave-exposed sponges took longer to metamorphose than settlers originating from control sponges (figure 5). Larvae exposed to high temperatures within their physiological thermal threshold are known to accelerate their metamorphosis rate in several marine invertebrates [89–91], including sponges [92]. Delayed metamorphosis at high temperatures can be caused by a transient state of dormancy to survive the period of environmental stress [93]. Delayed osculum formation, and consequently the ability of juveniles to filter-feed, could be interpreted as an adaptive strategy by which C. incrustans can overcome extreme thermal events.
5. Conclusion
The quantity and quality of parental resources allocated to propagules can profoundly affect offspring growth and survival [94], and heritable bacteria have been shown to influence host tolerance to thermal stress in several organisms [95,96]. Overall, our study showed that marine heatwave conditions triggered carryover effects on the larval microbiome and the early life-traits of C. incrustans. Our results suggest the occurrence of selective vertical transmission as a potential mechanism for sponge adaptation to new environmental conditions and highlight possible developmental functions of vertically transmitted bacteria during post-settlement metamorphic phases in C. incrustans.
Acknowledgements
The authors would like to thank Nora Kandler and Heidi Luter for the helpful suggestions during the laboratory procedures. We wish to thank John Van der Sman and Daniel McNaughtan for their technical support during the experimental set-up preparation. A special thanks to Danyl McLauchlan for bioinformatic advice.
Ethics
Sponges were collected under Special Permit (711-8730069, Ministry of Primary Industry, NZ).
Data accessibility
Data and R scripts used in this manuscript are available on Dryad (https://doi.org/10.5061/dryad.f4qrfj70r) [97]. Electronic supplementary material are available on Figshare [98].
Authors' contributions
F.S.: conceptualization, data curation, formal analysis, funding acquisition, methodology, visualization, writing—original draft, writing—review and editing; V.M.: data curation, methodology, writing—review and editing; T.T.: data curation, formal analysis, writing—review and editing; L.W.: data curation, formal analysis, writing—review and editing; S.K.D.: supervision, writing—review and editing; J.J.B.: supervision, writing—review and editing.
All authors gave final approval for publication and agreed to be held accountable for the work performed therein.
Conflict of interest declaration
All authors declare that there is no known competing for financial interests or personal relationships that could have appeared to influence the work reported in this manuscript.
Funding
This work was supported by the Victoria University of Wellington Doctoral Scholarship, the Women Divers Hall of Fame Graduate Scholarship in Marine Conservation 2020 and the Kevin Smith Memorial Scholarship 2020, awarded to F.S.
References
- 1.Hobday AJ, et al. 2018. Categorizing and naming marine heatwaves. Oceanography 31, 162-173. ( 10.5670/oceanog.2018.205) [DOI] [Google Scholar]
- 2.Smith KE, Burrows MT, Hobday AJ, King NG, Moore PJ, Sen Gupta A, Thomsen MS, Wernberg T, Smale DA. 2022. Biological impacts of marine heatwaves. Annu. Rev. Mar. Sci. 15, 119-145. ( 10.1146/annurev-marine-032122-121437) [DOI] [PubMed] [Google Scholar]
- 3.Donovan MK, Burkepile DE, Kratochwill C, Shlesinger T, Sully S, Oliver TA, Hodgson G, Freiwald J, van Woesik R. 2021. Local conditions magnify coral loss after marine heatwaves. Science 372, 977-980. ( 10.1126/science.abd9464) [DOI] [PubMed] [Google Scholar]
- 4.Garrabou J, et al. 2009. Mass mortality in Northwestern Mediterranean rocky benthic communities: effects of the 2003 heat wave. Glob. Change Biol. 15, 1090-1103. ( 10.1111/j.1365-2486.2008.01823.x) [DOI] [Google Scholar]
- 5.Ereskovsky A, Ozerov DA, Pantyulin AN, Tzetlin AB. 2019. Mass mortality event of White Sea sponges as the result of high temperature in summer 2018. Polar Biol. 42, 2313-2318. ( 10.1007/s00300-019-02606-0) [DOI] [Google Scholar]
- 6.Bell JJ, Smith RO, Micaroni V, Strano F, Balemi CA, Caiger PE, Miller KI, Spyksma AJP, Shears NT. 2023. Marine heat waves drive bleaching and necrosis of temperate sponges. Current Biol. 33, 158-163. ( 10.1016/j.cub.2022.11.013) [DOI] [PubMed] [Google Scholar]
- 7.Frölicher TL, Fischer EM, Gruber N. 2018. Marine heatwaves under global warming. Nature 560, 360-364. ( 10.1038/s41586-018-0383-9) [DOI] [PubMed] [Google Scholar]
- 8.Pechenik JA. 1999. On the advantages and disadvantages of larval stages in benthic marine invertebrate life cycles. Mar. Ecol. Prog. Ser. 177, 269-297. ( 10.3354/meps177269) [DOI] [Google Scholar]
- 9.Levin LA. 2006. Recent progress in understanding larval dispersal: new directions and digressions. Integr. Comp. Biol. 46, 282-297. ( 10.1093/icb/icj024) [DOI] [PubMed] [Google Scholar]
- 10.Byrne M. 2011. Impact of ocean warming and ocean acidification on marine invertebrate life history stages. In Oceanography and marine biology: an annual review, vol. 49 (eds Gibson R, Atkinson R, Gordon J), pp. 1-49. Boca Raton, FL: CRC Press. [Google Scholar]
- 11.O'Connor CM, Norris DR, Crossin GT, Cooke SJ. 2014. Biological carryover effects: linking common concepts and mechanisms in ecology and evolution. Ecosphere 5, 1-11. ( 10.1890/es13-00388.1) [DOI] [Google Scholar]
- 12.Gilbert SF. 2012. Ecological developmental biology: environmental signals for normal animal development. Evol. Dev. 14, 20-28. ( 10.1111/j.1525-142x.2011.00519.x) [DOI] [PubMed] [Google Scholar]
- 13.Lowe WH, Martin TE, Skelly DK, Woods HA. 2021. Metamorphosis in an era of increasing climate variability. Trends Ecol. Evol. 36, 360-375. ( 10.1016/j.tree.2020.11.012) [DOI] [PubMed] [Google Scholar]
- 14.Bell JJ, Micaroni V, Harris B, Strano F, Broadribb M, Rogers A. In press. Global status, impacts, and management of rocky temperate mesophotic ecosystems. Conserv. Biol. e13945. ( 10.1111/cobi.13945) [DOI] [PubMed] [Google Scholar]
- 15.De Voogd NJ, et al. 2022. World Porifera database. See https://www.marinespecies.org/porifera.
- 16.Usher KM, Sutton DC, Toze S, Kuo J, Fromont J. 2004. Sexual reproduction in Chondrilla australiensis (Porifera: demospongiae). Mar. Freshw. Res. 55, 123-134. ( 10.1071/mf03058) [DOI] [Google Scholar]
- 17.Mariani S, Uriz MJ, Turon X. 2005. The dynamics of sponge larvae assemblages from northwestern Mediterranean nearshore bottoms. J. Plankt. Res. 27, 249-262. ( 10.1093/plankt/fbh173) [DOI] [Google Scholar]
- 18.Piscitelli M, Corriero G, Gaino E, Uriz MJ. 2011. Reproductive cycles of the sympatric excavating sponges Cliona celata and Cliona viridis in the Mediterranean Sea. Invertebr. Biol. 130, 1-10. ( 10.1111/j.1744-7410.2010.00216.x) [DOI] [Google Scholar]
- 19.Ereskovsky AV, Dubois M, Ivanišević J, Gazave E, Lapebie P, Tokina D, Pérez T. 2013. Pluri-annual study of the reproduction of two Mediterranean Oscarella species (Porifera, Homoscleromorpha): cycle, sex-ratio, reproductive effort and phenology. Mar. Biol. 160, 423-438. ( 10.1007/s00227-012-2100-9) [DOI] [Google Scholar]
- 20.Bautista-Guerrero E, Carballo JL, Maldonado M. 2014. Abundance and reproductive patterns of the excavating sponge Cliona vermifera: a threat to Pacific coral reefs? Coral Reefs 33, 259-266. ( 10.1007/s00338-013-1094-1) [DOI] [Google Scholar]
- 21.Erwin PM, Pita L, López-Legentil S, Turon X. 2012. Stability of sponge-associated bacteria over large seasonal shifts in temperature and irradiance. Appl. Environ. Microbiol. 78, 7358-7368. ( 10.1128/aem.02035-12) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Pita L, Erwin PM, Turon X, López-Legentil S. 2013. Till death do us part: stable sponge-bacteria associations under thermal and food shortage stresses. PLoS ONE 8, e80307. ( 10.1371/journal.pone.0080307) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Taylor JA, Díez-Vives C, Nielsen S, Wemheuer B, Thomas T. 2022. Communality in microbial stress response and differential metabolic interactions revealed by time-series analysis of sponge symbionts. Environ. Microbiol. 24, 2299-2314. ( 10.1111/1462-2920.15962) [DOI] [PubMed] [Google Scholar]
- 24.Pita L, Rix L, Slaby BM, Franke A, Hentschel U. 2018. The sponge holobiont in a changing ocean: from microbes to ecosystems. Microbiome 6, 1-18. ( 10.1186/s40168-018-0428-1) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.O'Brien PA, Webster NS, Miller DJ, Bourne DG. 2019. Host-microbe coevolution: applying evidence from model systems to complex marine invertebrate holobionts. MBio 10, e02241-18. ( 10.1128/mbio.02241-18) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Thomas T, et al. 2010. Functional genomic signatures of sponge bacteria reveal unique and shared features of symbiosis. ISME J. 4, 1557-1567. ( 10.3410/f.4419956.4258054) [DOI] [PubMed] [Google Scholar]
- 27.Paul VJ, Freeman CJ, Agarwal V. 2019. Chemical ecology of marine sponges: new opportunities through ‘-omics’. Integr. Comp. Biol. 59, 765-776. ( 10.1093/icb/icz014) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Usher KM, Kuo J, Fromont J, Sutton DC. 2001. Vertical transmission of cyanobacterial symbionts in the marine sponge Chondrilla australiensis (Demospongiae). Hydrobiologia 461, 9-13. [Google Scholar]
- 29.Maldonado M. 2007. Intergenerational transmission of symbiotic bacteria in oviparous and viviparous demosponges, with emphasis on intracytoplasmically-compartmented bacterial types. J. Mar. Biol. Assoc. U. K. 87, 1701-1713. ( 10.1017/s0025315407058080) [DOI] [Google Scholar]
- 30.Sharp KH, Eam B, Faulkner DJ, Haygood MG. 2007. Vertical transmission of diverse microbes in the tropical sponge Corticium sp. Appl. Environ. Microbiol. 73, 622-629. ( 10.1128/aem.01493-06) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Engelberts JP, Abdul Wahab MA, Maldonado M, Rix L, Marangon E, Robbins SJ, Wagner M, Webster NS. 2022. Microbes from Mum: symbiont transmission in the tropical reef sponge Ianthella basta. ISME Commun. 2, 90. ( 10.1038/s43705-022-00173-w) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Carrier TJ, Maldonado M, Schmittmann L, Pita L, Bosch TC, Hentschel U. 2022. Symbiont transmission in marine sponges: reproduction, development, and metamorphosis. BMC Biol. 20, 1-19. ( 10.1186/s12915-022-01291-6) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Cebrian E, Uriz MJ, Garrabou J, Ballesteros E. 2011. Sponge mass mortalities in a warming Mediterranean Sea: are cyanobacteria-harboring species worse off? PLoS ONE 6, e20211. ( 10.1371/journal.pone.0020211) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Stabili L, Cardone F, Alifano P, Tredici SM, Piraino S, Corriero G, Gaino E. 2012. Epidemic mortality of the sponge Ircinia variabilis (Schmidt, 1862) associated to proliferation of a Vibrio bacterium. Microb. Ecol. 64, 802-813. ( 10.1007/s00248-012-0068-0) [DOI] [PubMed] [Google Scholar]
- 35.Di Camillo CG, Bartolucci I, Cerrano C, Bavestrello G. 2013. Sponge disease in the Adriatic Sea. Mar. Ecol. 34, 62-71. ( 10.1111/j.1439-0485.2012.00525.x) [DOI] [Google Scholar]
- 36.Rubio-Portillo E, Izquierdo-Muñoz A, Gago JF, Rosselló-Mora R, Antón J, Ramos-Esplá AA. 2016. Effects of the 2015 heat wave on benthic invertebrates in the Tabarca Marine Protected Area (southeast Spain). Mar. Environ. Res. 122, 135-142. ( 10.1016/j.marenvres.2016.10.004) [DOI] [PubMed] [Google Scholar]
- 37.Bates TE, Bell JJ. 2018. Responses of two temperate sponge species to ocean acidification. N. Z. J. Mar. Freshw. Res. 52, 247-263. ( 10.1080/00288330.2017.1369132) [DOI] [Google Scholar]
- 38.Cummings VJ, Beaumont J, Mobilia V, Bell JJ, Tracey D, Clark MR, Barr N. 2020. Responses of a common New Zealand coastal sponge to elevated suspended sediments: indications of resilience. Mar. Environ. Res. 155, 104886. ( 10.1016/j.marenvres.2020.104886) [DOI] [PubMed] [Google Scholar]
- 39.Strano F, Micaroni V, Davy SK, Woods L, Bell JJ. 2022. Near-future extreme temperatures affect physiology, morphology and recruitment of the temperate sponge Crella incrustans. Sci. Total Environ. 823, 153466. ( 10.1016/j.scitotenv.2022.153466) [DOI] [PubMed] [Google Scholar]
- 40.Coma R, Ribes M, Gili JM, Zabala M. 2000. Seasonality in coastal benthic ecosystems. Trends Ecol. Evol. 15, 448-453. ( 10.1016/s0169-5347(00)01970-4) [DOI] [PubMed] [Google Scholar]
- 41.Strano F, Micaroni V, Davy SK, Maldonado M, Bell JJ. 2021. Reproduction and early life stages of the poecilosclerid sponge Crella incrustans. Invertebr. Biol. 140, e12335. ( 10.1111/ivb.12335) [DOI] [Google Scholar]
- 42.Strand R, Whalan S, Webster NS, Kutti T, Fang JKH, Luter HM, Bannister RJ. 2017. The response of a boreal deep-sea sponge holobiont to acute thermal stress. Scientific Rep. 7, 1660. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Bennett HM, Altenrath C, Woods L, Davy SK, Webster NS, Bell JJ. 2017. Interactive effects of temperature and pCO2 on sponges: from the cradle to the grave. Glob. Change Biol. 23, 2031-2046. ( 10.1111/gcb.13474) [DOI] [PubMed] [Google Scholar]
- 44.Minuti JJ, Byrne M, Campbell H, Hemraj DA, Russell BD. 2022. Live-fast-die-young: carryover effects of heatwave-exposed adult urchins on the development of the next generation. Glob. Change Biol. 28, 5781-5792. ( 10.1111/gcb.16339) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Herlemann DP, Labrenz M, Jürgens K, Bertilsson S, Waniek JJ, Andersson AF. 2011. Transitions in bacterial communities along the 2000 km salinity gradient of the Baltic Sea. ISME J. 5, 1571-1579. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Li J, Majzoub ME, Marzinelli EM, Dai Z, Thomas T, Egan S. 2021. Bacterial controlled mitigation of dysbiosis in a seaweed disease. ISME J. 16, 1-10. ( 10.1038/s41396-021-01070-1) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Parks DH, Chuvochina M, Waite DW, Rinke C, Skarshewski A, Chaumeil PA, Hugenholtz P. 2018. A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life. Nat. Biotechnol. 36, 996-1004. ( 10.1038/nbt.4229) [DOI] [PubMed] [Google Scholar]
- 48.Bergquist PR, Sinclair ME. 1973. Seasonal variation in settlement and spiculation of sponge larvae. Mar. Biol. 20, 35-44. ( 10.1007/bf00387672) [DOI] [Google Scholar]
- 49.Bergquist PR. 1978. Sponges. Berkeley, CA: University of California Press. [Google Scholar]
- 50.R Core Team. 2021. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. See https://www.R-project.org/. [Google Scholar]
- 51.Therneau T. 2022. A package for survival analysis in R. R package version 3.4-0. See https://CRAN.R-project.org/package=survival.
- 52.Bates D, Mächler M, Bolker B, Walker S. 2015. Fitting linear mixed-effects models using lme4. J. Stat. Softw. 67, 1-48. ( 10.18637/jss.v067.i01) [DOI] [Google Scholar]
- 53.Fox J, Weisberg S. 2019. An {R} companion to applied regression, 3rd edn. Thousand Oaks, CA: Sage. See https://socialsciences.mcmaster.ca/jfox/Books/Companion/ [Google Scholar]
- 54.Wang Y, Naumann U, Wright S, Warton D. 2022. mvabund: an R package for model-based analysis of multivariate abundance data. Methods Ecol. Evol. 3, 471-474. ( 10.1111/j.2041-210X.2012.00190.x) [DOI] [Google Scholar]
- 55.Lin H, Peddada SD. 2020. Analysis of compositions of microbiomes with bias correction. Nat. Commun. 11, 1-11. ( 10.1038/s41467-020-17041-7) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Kuznetsova A, Brockhoff PB, Christensen RHB. 2017. lmerTest Package: tests in linear mixed effects models. J. Stat. Softw. 82, 1-26. ( 10.18637/jss.v082.i13) [DOI] [Google Scholar]
- 57.Lenth R. 2021. Emmeans: estimated marginal means, aka least-squares means. R Package version 1.5.4. See https://CRAN.R-project.org/package=emmeans [Google Scholar]
- 58.University of Queensland. 2022. Genome taxonomy database, release 207. See http://gtdb.ecogenomic.org.
- 59.Gaino E, Manconi R, Pronzato R. 1995. Organizational plasticity as a successful conservative tactics in sponges. Anim. Biol. 4, 31-43. [Google Scholar]
- 60.Knight PA, Fell PE. 1987. Low salinity induces reversible tissue regression in the estuarine sponge Microciona prolifera (Ellis & Solander). J. Exp. Mar. Biol. Ecol. 107, 253-261. ( 10.1016/0022-0981(87)90042-6) [DOI] [Google Scholar]
- 61.Micaroni V, Strano F, McAllen R, Woods L, Turner J, Harman L, Bell JJ. 2022. Adaptive strategies of sponges to deoxygenated oceans. Glob. Change Biol. 28, 1972-1989. ( 10.1111/gcb.16013) [DOI] [PubMed] [Google Scholar]
- 62.Luter HM, Whalan S, Webster NS. 2011. The marine sponge Ianthella basta can recover from stress-induced tissue regression. In Ancient animals, new challenges (eds Maldonado M, Turon X, Becerro M, Uriz MJ), pp. 227-235. Dordrecht, The Netherlands: Springer. [Google Scholar]
- 63.Taylor JA, Díez-Vives C, Majzoub ME, Nielsen S, Thomas T. 2021. Stress response of the marine sponge Scopalina sp.. Can microbial community composition predict sponge disease? FEMS Microbiol. Ecol. 97, fiab095. ( 10.1093/femsec/fiab095) [DOI] [PubMed] [Google Scholar]
- 64.Morgan SG. 1995. The timing of larval release. In Ecology of marine invertebrate larvae (ed. Morgan SG), pp. 157-191. Boca Raton, FL: CRC Press. [Google Scholar]
- 65.Shanks AL, Rasmuson LK, Valley JR, Jarvis MA, Salant C, Sutherland DA, Lamont EI, Hainey MAH, Emlet RB. 2019. Marine heat waves, climate change, and failed spawning by coastal invertebrates. Limnol. Oceanogr. 65, 627-636. ( 10.1002/lno.11331) [DOI] [Google Scholar]
- 66.Bell JJ, Smith RO, Micaroni V, Strano F, Balemi CA, Caiger PE, Miller KI, Spyksma AJP, Shears NT. 2023. Marine heat waves drive bleaching and necrosis of temperate sponges. Curr. Biol. 33, 158-163. ( 10.1016/j.cub.2022.11.013) [DOI] [PubMed] [Google Scholar]
- 67.Giles EC, Kamke J, Moitinho-Silva L, Taylor MW, Hentschel U, Ravasi T, Schmitt S. 2013. Bacterial community profiles in low microbial abundance sponges. FEMS Microbiol. Ecol. 83, 232-241. ( 10.1111/j.1574-6941.2012.01467.x) [DOI] [PubMed] [Google Scholar]
- 68.Tian RM, Sun J, Cai L, Zhang WP, Zhou GW, Qiu JW, Qian PY. 2016. The deep-sea glass sponge Lophophysema eversa harbours potential symbionts responsible for the nutrient conversions of carbon, nitrogen and sulfur. Environ. Microbiol. 18, 2481-2494. ( 10.1111/1462-2920.13161) [DOI] [PubMed] [Google Scholar]
- 69.Georgieva MN, et al. 2020. Evidence of vent-adaptation in sponges living at the periphery of hydrothermal vent environments: ecological and evolutionary implications. Front. Microbiol. 11, 1636. ( 10.3389/fmicb.2020.01636) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Steinert G, et al. 2020. Compositional and quantitative insights into bacterial and archaeal communities of South Pacific deep-sea sponges (Demospongiae and Hexactinellida). Front. Microbiol. 11, 716. ( 10.3389/fmicb.2020.00716) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Moeller FU, et al. 2019. Characterization of a thaumarchaeal symbiont that drives incomplete nitrification in the tropical sponge Ianthella basta. Environ. Microbiol. 21, 3831-3854. ( 10.1101/527234) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Rust M, et al. 2020. A multiproducer microbiome generates chemical diversity in the marine sponge Mycale hentscheli. Proc. Natl Acad. Sci. USA 117, 9508-9518. ( 10.1073/pnas.1919245117) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Burgsdorf I, Sizikov S, Squatrito V, Britstein M, Slaby BM, Cerrano C, Handley KM, Steindler L. 2022. Lineage-specific energy and carbon metabolism of sponge symbionts and contributions to the host carbon pool. ISME J. 16, 1163-1175. ( 10.1038/s41396-021-01165-9) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Chernogor L, Klimenko E, Khanaev I, Belikov S. 2020. Microbiome analysis of healthy and diseased sponges Lubomirskia baicalensis by using cell cultures of primmorphs. PeerJ 8, e9080. ( 10.7287/peerj.preprints.27851v1) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Luter HM, Andersen M, Versteegen E, Laffy P, Uthicke S, Bell JJ, Webster NS. 2020. Cross-generational effects of climate change on the microbiome of a photosynthetic sponge. Environ. Microbiol. 22, 4732-4744. ( 10.1111/1462-2920.15222) [DOI] [PubMed] [Google Scholar]
- 76.Webster NS, Soo R, Cobb R, Negri AP. 2011a. Elevated seawater temperature causes a microbial shift on crustose coralline algae with implications for the recruitment of coral larvae. ISME J. 5, 759-770. ( 10.1038/ismej.2010.152) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Morrow KM, Bourne DG, Humphrey C, Botté ES, Laffy P, Zaneveld J, Uthicke S, Fabricius KE, Webster NS. 2015. Natural volcanic CO2 seeps reveal future trajectories for host–microbial associations in corals and sponges. ISME J. 9, 894-908. ( 10.1038/ismej.2014.188) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.McDevitt-Irwin JM, Baum JK, Garren M, Vega Thurber RL. 2017. Responses of coral-associated bacterial communities to local and global stressors. Front. Mar. Sci. 4, 262. ( 10.3389/fmars.2017.00262) [DOI] [Google Scholar]
- 79.Simister R, Taylor MW, Tsai P, Fan L, Bruxner TJ, Crowe ML, Webster N. 2012. Thermal stress responses in the bacterial biosphere of the Great Barrier Reef sponge, Rhopaloeides odorabile. Environ. Microbiol. 14, 3232-3246. ( 10.1111/1462-2920.12010) [DOI] [PubMed] [Google Scholar]
- 80.Fan L, Liu M, Simister R, Webster NS, Thomas T. 2013. Marine microbial symbiosis heats up: the phylogenetic and functional response of a sponge holobiont to thermal stress. ISME J. 7, 991-1002. ( 10.1038/ismej.2012.165) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Zaneveld JR, McMinds R, Vega Thurber R. 2017. Stress and stability: applying the Anna Karenina principle to animal microbiomes. Nat. Microbiol. 2, 1-8. ( 10.1038/nmicrobiol.2017.121) [DOI] [PubMed] [Google Scholar]
- 82.Geraghty S, Koutsouveli V, Hall C, Chang L, Sacristan-Soriano O, Hill M, Riesgo A, Hill A. 2021. Establishment of host–algal endosymbioses: genetic response to symbiont versus prey in a sponge host. Genome Biol. Evol. 13, evab252. ( 10.1093/gbe/evab252) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Lane HS, Brosnahan CL, Poulin R. 2022. Aquatic disease in New Zealand: synthesis and future directions. N. Z. J. Mar. Freshw. Res. 56, 1-42. ( 10.1080/00288330.2020.1848887) [DOI] [Google Scholar]
- 84.Scheuermayer M, Gulder TA, Bringmann G, Hentschel U. 2006. Rubritalea marina gen. nov., sp. nov., a marine representative of the phylum ‘Verrucomicrobia’, isolated from a sponge (Porifera). Int. J. Syst. Evol. Microbiol. 56, 2119-2124. ( 10.1099/ijs.0.64360-0) [DOI] [PubMed] [Google Scholar]
- 85.Yoon J, Matsuo Y, Matsuda S, Adachi K, Kasai H, Yokota A. 2007. Rubritalea spongiae sp. nov. and Rubritalea tangerina sp. nov., two carotenoid-and squalene-producing marine bacteria of the family Verrucomicrobiaceae within the phylum ‘Verrucomicrobia’, isolated from marine animals. Int. J. Syst. Evol. Microbiol. 57, 2337-2343. ( 10.1099/ijs.0.65243-0) [DOI] [PubMed] [Google Scholar]
- 86.Pechenik JA. 2006. Larval experience and latent effects—metamorphosis is not a new beginning. Integr. Comp. Biol. 46, 323-333. ( 10.1093/icb/icj028) [DOI] [PubMed] [Google Scholar]
- 87.Campbell H, Ledet J, Poore AG, Byrne M. 2020. Thermal tolerance in the amphipod Sunamphitoe parmerong from a global warming hotspot, acclimatory carryover effects within generation. Mar. Environ. Res. 160, 105048. [DOI] [PubMed] [Google Scholar]
- 88.Spencer LH, Venkataraman YR, Crim R, Ryan S, Horwith MJ, Roberts SB. 2020. Carryover effects of temperature and pCO 2 across multiple Olympia oyster populations. Ecol. Appl. 30, e02060. [DOI] [PubMed] [Google Scholar]
- 89.Pechenik JA. 1984. The relationship between temperature, growth rate, and duration of planktonic life for larvae of the gastropod Crepidula fornicata (L.). J. Exp. Mar. Biol. Ecol. 74, 241-257. ( 10.1016/0022-0981(84)90128-x) [DOI] [Google Scholar]
- 90.Chen CP, Chen BY. 1992. Effects of high temperature on larval development and metamorphosis of Arachnoides placenta (Echinodermata: Echinoidea). Mar. Biol. 112, 445-449. ( 10.1007/bf00356290) [DOI] [Google Scholar]
- 91.Anil AC, Desai D, Khandeparker L. 2001. Larval development and metamorphosis in Balanus amphitrite Darwin (Cirripedia; Thoracica): significance of food concentration, temperature and nucleic acids. J. Exp. Mar. Biol. Ecol. 263, 125-141. ( 10.1016/s0022-0981(01)00280-5) [DOI] [Google Scholar]
- 92.Whalan S, Ettinger-Epstein P, de Nys R. 2008. The effect of temperature on larval pre-settlement duration and metamorphosis for the sponge, Rhopaloeides odorabile. Coral Reefs 27, 783-786. ( 10.1007/s00338-008-0400-9) [DOI] [Google Scholar]
- 93.Panov VE, Caceres C. 2007. Role of Diapause in Dispersal of Aquatic Invertebrates. In Diapause in aquatic invertebrates: theory and human use, vol. 84 (eds Alekseev VR, De Stasio B, Gilbert JJ), pp. 187-195. Dordrecht, The Netherlands: Springer. [Google Scholar]
- 94.Mousseau TA, Fox CW. 1998. The adaptive significance of maternal effects. Trends Ecol. Evol. 13, 403-407. ( 10.1016/s0169-5347(98)01472-4) [DOI] [PubMed] [Google Scholar]
- 95.Corbin C, Heyworth ER, Ferrari J, Hurst GD. 2017. Heritable symbionts in a world of varying temperature. Heredity 118, 10-20. ( 10.1038/hdy.2016.71) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Baldassarre L, Ying H, Reitzel AM, Franzenburg S, Fraune S. 2022. Microbiota mediated plasticity promotes thermal adaptation in the sea anemone Nematostella vectensis. Nat. Commun. 13, 1-13. ( 10.1038/s41467-022-31350-z) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Strano F, Micaroni V, Thomas T, Woods L, Davy SK, Bell JJ. 2023. Data from: Marine heatwave conditions drive carryover effects in a temperate sponge microbiome and developmental performance. Dryad Digital Repository. ( 10.5061/dryad.f4qrfj70r) [DOI] [PMC free article] [PubMed]
- 98.Strano F, Micaroni V, Thomas T, Woods L, Davy SK, Bell JJ. 2023. Marine heatwave conditions drive carryover effects in a temperate sponge microbiome and developmental performance. Figshare. ( 10.6084/m9.figshare.c.6662191) [DOI] [PMC free article] [PubMed]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Citations
- Strano F, Micaroni V, Thomas T, Woods L, Davy SK, Bell JJ. 2023. Data from: Marine heatwave conditions drive carryover effects in a temperate sponge microbiome and developmental performance. Dryad Digital Repository. ( 10.5061/dryad.f4qrfj70r) [DOI] [PMC free article] [PubMed]
- Strano F, Micaroni V, Thomas T, Woods L, Davy SK, Bell JJ. 2023. Marine heatwave conditions drive carryover effects in a temperate sponge microbiome and developmental performance. Figshare. ( 10.6084/m9.figshare.c.6662191) [DOI] [PMC free article] [PubMed]
Data Availability Statement
Data and R scripts used in this manuscript are available on Dryad (https://doi.org/10.5061/dryad.f4qrfj70r) [97]. Electronic supplementary material are available on Figshare [98].





