Abstract
Coral resilience under climate change depends on the stability of coral–Symbiodiniaceae symbioses. Vertically transmitting corals inherit symbionts directly from parental colonies, yet the extent to which symbiont cellular traits are conserved across host life stages remains unclear. Here, we examined cell-surface glycan profiles of Symbiodiniaceae in parental colonies and eggs of the coral Montipora capitata. Glycan signatures were structured by symbiont species and differed between coral life stages, with mannose/glucose- and galactose-containing glycoproteins as primary drivers of variation. Despite life-stage differences, parent–offspring comparisons revealed significant conservation of glycan profiles, indicating intergenerational transmission of symbiont cellular traits that differed between Cladocopium C31 and Durusdinium glynnii and were driven by distinct glycan classes. These results suggest that vertical transmission preserves key recognition-relevant glycans while allowing flexibility in other symbionts’ surface traits, consistent with a role in maintaining symbiosis stability.
Keywords: Symbiodiniaceae, glycan, lectin, symbiosis, corals, Montipora capitata, vertical transmission, symbionts, flow cytometry, intergenerational transmission
Introduction
Reef-building corals form an obligate endosymbiosis with dinoflagellates of the family Symbiodiniaceae, a partnership that underpins the productivity and persistence of coral reef ecosystems [1]. Symbiodiniaceae provide photosynthetically derived carbon to the host, supporting metabolism, calcification, and reef growth, while receiving inorganic nutrients and a protected intracellular niche. This metabolic coupling represents one of the most ecologically successful symbioses in the ocean and has persisted for hundreds of millions of years, shaping the evolution and biogeography of coral reefs [2, 3].
Despite this long evolutionary history, the coral–Symbiodiniaceae symbiosis is highly sensitive to environmental change. Elevated sea surface temperatures destabilize this association, causing bleaching through impaired photosynthesis, nutritional decoupling [4], and reactive oxygen–mediated symbiont loss [5, 6]. Recurrent marine heatwaves have increased the frequency and severity of mass bleaching, driving coral mortality, declines in coral cover, and community shifts. As a result, a substantial proportion of reefs have already been degraded, with further losses projected under continued warming [7].
Considering Symbiodiniaceae are indispensable to coral fitness, the mode by which corals acquire their symbionts is a key determinant of coral biology. Symbiont transmission occurs along a continuum between horizontal acquisition from the environment and vertical inheritance from the parent colony, with important consequences for host–symbiont specificity, flexibility, and resilience [8]. Horizontally transmitting corals acquire symbionts from the surrounding seawater, enabling uptake of locally adapted partners with reduced fidelity. In contrast, vertically transmitting corals provision symbionts via the eggs, ensuring early symbiosis and high intergenerational fidelity [9], though potentially limiting rapid adjustment to environmental change. These contrasting transmission strategies are therefore expected to influence not only the composition of symbiont communities but also holobiont performance under stress [10].
The reef-building coral Montipora capitata is a dominant species in Kāneʻohe Bay, Hawaiʻi, and a key model for coral–Symbiodiniaceae symbiosis under environmental stress. It is a broadcast spawner with vertical transmission, releasing egg–sperm bundles that develop into larvae containing maternally derived symbionts [10, 11]. This strategy establishes symbiosis early and links parental and offspring communities, yet variation across colonies and environments indicates both inherited and environmental influences on symbiont dynamics.
Across its range, M. capitata associates primarily with symbionts from the genera Cladocopium and Durusdinium, which differ in physiological performance and stress tolerance [12, 13]. In Kāneʻohe Bay, Hawaiʻi, these genera are represented almost exclusively by Cladocopium C31 and Durusdinium glynnii, respectively [10, 14–17]. Members of the Cladocopium genus are generally considered more thermally sensitive but can support higher rates of photosynthesis and growth under stable environmental conditions [2, 12, 14, 15]. In contrast, members of the Durusdinium genus are widely recognized for its enhanced thermal tolerance and resistance to bleaching, although this resilience is often associated with trade-offs in host growth or metabolic efficiency [2, 12, 14–16]. As a result, the relative abundance of these symbionts can influence coral performance across environmental gradients, particularly under elevated temperature regimes [14, 15], providing a framework to investigate how symbiont traits are maintained across host life stages.
At the cellular level, the establishment and maintenance of the coral–Symbiodiniaceae symbiosis is thought to involve molecular recognition processes often described as a “lock-and-key” mechanism, in which symbiont cell-surface glycans interact with host lectins and contribute to the selective recognition, uptake, and retention of compatible symbiotic partners [1, 17]. Experimental evidence has shown that lectin–glycan interactions influence symbiont acquisition, with certain carbohydrate motifs associated with the promotion or inhibition of symbiont colonization, thereby contributing to host–symbiont specificity [14, 18–32] . However, experimental studies also suggest that the role of lectin–glycan interactions may vary across host–symbiont systems and stages of symbiosis, with evidence supporting functions in post-phagocytic persistence and symbiont retention in addition to initial recognition [29, 30]. Most of our current understanding of these recognition mechanisms comes from horizontally transmitting systems, where symbiont uptake from the environment requires active discrimination among diverse potential partners and suggests that lectin–glycan interactions contribute to partner selection at the host–cell interface. How these molecular recognition processes operate in vertically transmitting corals remains poorly understood. Because symbionts are inherited directly from the parent colony via symbiont-provisioned eggs, the need for de novo partner acquisition is assumed to be reduced. However, recognition mechanisms may still be essential for regulating symbiont retention, proliferation, and quality control across host life stages. In this context, lectin–glycan interactions may function not only in initial symbiont recognition but also in maintaining symbiotic fidelity and mediating intergenerational continuity of host–symbiont associations.
In M. capitata from Kāneʻohe Bay, cell-surface glycan profiles of Cladocopium C31 and D. glynnii differed and were significantly altered by temperature and oxidative stress, suggesting that deviations from baseline glycan signatures may contribute to the breakdown of specific partnerships and the plasticity of symbiosis under stress [18].
Here, we investigate how symbiont cell-surface glycan profiles are maintained and structured across host life stages in a vertically transmitting coral. Using M. capitata as a model system, we test whether lectin-binding signatures of Symbiodiniaceae are conserved between parental colonies and their offspring, and whether this signature varies between Cladocopium C31 and D. glynnii, providing insight into the role of lectin–glycan mechanisms in maintaining symbiosis across generations.
Materials and methods
Coral collection, Symbiodiniaceae isolation, and qPCR
Montipora capitata colonies in Kāneʻohe Bay, Oʻahu, were selected based on visual health and colony size to maximize the likelihood of spawning. Colonies were tagged in situ, and thumb-sized fragments (n = 3–5) were collected from each colony for symbiont isolation and molecular analyses.
To characterize the algal symbiont community, fragments were sampled using a 5 mm diameter dermal curette, immediately snap-frozen in liquid nitrogen, and stored at −80°C until processing. Genomic DNA was extracted using the Zymo Quick-DNA kit (Fisher Scientific, cat. no. 50-444-148) following the manufacturer’s protocol. Quantitative PCR (qPCR) assays targeting genus-specific actin loci were used to quantify the relative abundance of Cladocopium C31 and D. glynnii in corals [12]. All qPCRs were performed on a StepOnePlus Real-Time PCR System (Applied Biosystems). Reactions were carried out in 10 μl volumes containing 5 μl TaqMan Genotyping Master Mix and 1 μl genomic DNA template. The M. capitata assay contained 1 μM forward primer (PaxC-F, 5′-GTGCAGGTGAGATTGAGTCTTATAACA-3′), 1.5 μM reverse primer (PaxC-R, 5′-CGGTTGAGCTTCGCTAAACAG-3′), and 2 μM TaqMan probe (PaxC-Probe, 5′-FAM-CAGTTCTTCCAACAATG-MGB-3′). The multiplexed Cladocopium/Durusdinium assay contained 1 μM Cladocopium forward primer (CAct-F, 5′-CCAGGTGCGATGTCGATATTC-3′), 1.5 μM Cladocopium reverse primer (CAct-R, 5′-TGGTCATTCGCTCACCAATG-3′), and 2 μM Cladocopium probe (CAct-Probe, 5′-VIC-AGGATCTCTATGCCAACG-MGB-3′), together with 1 μM Durusdinium forward primer (DAct-F, 5′-GGCATGGGGTAAGCACTTCTT-3′), 1.5 μM Durusdinium reverse primer (DAct-R, 5′-GATCCTTGAACTAGCCTTGGAAAC-3′), and 2 μM Durusdinium probe (DAct-Probe, 5′-6FAM-CAAGAACGATACCGCC-MGB-3′). All samples were run in triplicate for each assay over 40 cycles. Thermal cycling conditions consisted of an initial incubation at 50°C for 2 min and 95°C for 10 min, followed by 40 cycles of denaturation at 95°C for 10 s and annealing/extension at 60°C for 1 min. Cycle threshold (CT) values were determined using the StepOnePlus software with a baseline interval of cycles 6–23 and a fluorescence threshold of Rn = 0.01. Positive amplification was scored only when technical replicates yielded CT values <40, and no amplification was detected in no-template controls. CT values were corrected for differences in fluorescence intensity among the three reporter dyes associated with the TaqMan probes. Symbiont-to-host (S/H) cell ratios for Cladocopium C31 and D. glynnii were calculated as
, and values were normalized for differences in probe fluorescence intensity and target locus gene copy number. Total S/H ratios were calculated as the sum of Cladocopium C31 and D. glynnii S/H ratios [12].
In total, 16 M. capitata colonies were selected, including 6 dominated by Cladocopium C31 (genotypes ID 162, 176, 177, 190, 214, 236) and 10 dominated by D. glynnii (169, 185, 197, 203, 208, 228, 231, 243, 249, 672). Colonies were used for downstream analyses if their symbiont community was composed of >99.5% of a single species (Supplementary Table 1).
Adult samples preparation
Algal symbionts were freshly isolated from a subset of 11 parental colonies (Cladocopium C31 genotypes 162, 177, 190, 214, 236, and D. glynnii genotypes 185, 203, 208, 228, 231, 243) by airbrushing tissue in 0.2 μm filtered seawater (FSW). Logistical constraints prevented us from sampling all parental colonies. The resulting homogenate was dissociated using a sterile 22-gauge needle and syringe to obtain single cells, centrifuged at 1000 × g for 5 min to pellet symbiont cells and resuspended in FSW. This wash step was repeated five times to remove residual host material. Symbiont cell pellets were fixed in 2% paraformaldehyde in 1× phosphate-buffered saline (PBS) and stored in the dark at 4°C until further processing.
Spawning and egg samples preparation
Tagged M. capitata colonies were transported to the Hawaiʻi Institute of Marine Biology (HIMB) in Kāneʻohe Bay 3 days prior to the new moon in May and June 2025 and maintained in large ambient flow-through seawater tanks under natural light conditions. Nets with a weighted line at the base and an inverted collection 50 ml conical tube at the apex were used to isolate each colony in the tanks. Buoyant gamete bundles were collected from individual spawning coral colonies in the 50 ml conical tubes on 28 May and 26 June 2025. Conical tubes were gently agitated to dissociate bundles and release eggs and sperm. Eggs were repeatedly washed with FSW to remove residual sperm and debris, then aliquoted into 1.5 ml microcentrifuge tubes.
To isolate algal symbionts from the eggs, samples were vortexed horizontally at the maximum instrument setting (setting 8; ~3200 rpm; Fisher Vortex Genie 2) for 5 min and centrifuged at 1000 × g for 5 min. The supernatant was discarded, and the symbiont pellet was resuspended in FSW using a sterile 22-gauge needle and syringe. This wash cycle was repeated five times to discard eggs debris. Following the final wash, pellets were microscopically inspected to confirm that visible host debris had been minimized before fixation. Prefixation handling was kept consistent across all sample types to ensure comparability of glycan profiles. Symbiont cell pellets from replicate samples were pooled, fixed in 2% paraformaldehyde in 1× PBS, and stored in the dark at 4°C until further processing.
Lectin staining and flow cytometry of Symbiodiniaceae cell-surface glycans
Fluorescent lectins were used to characterize glycans present on the cell-surface of symbiotic algae. The following lectins, purchased from Thermo Fisher Scientific, were used: ConA (concanavalin A; specific for D-mannose and D-glucose; cat. no. C21401), LTL (Lotus tetragonolobus lectin; specific for L-fucose; cat. no. L32480), PNA (peanut agglutinin; specific for D-galactose; cat. no. L21409), WGA (wheat germ agglutinin; specific for N-acetylglucosamine and N-acetylneuraminic acid; cat. no. W11261), PHAL (phytohemagglutinin-L from Phaseolus vulgaris; specific for N-acetylglucosamine β(1–2) mannopyranosyl residues; cat. no. L11270), and GSIB4 (isolectin B4 from Griffonia simplicifolia; specific for N-acetyl-D-galactosamine and α-D-galactosyl residues; cat. no. I21411). Lectins were purchased as fluorophore-conjugates, labeled with either Alexa Fluor 488 (ConA, PNA, WGA, PHAL, GSIB4) or FITC (LTL). Lectin-binding profiles of Symbiodiniaceae cell-surface glycans were quantified for symbionts isolated from the eggs of 6 Cladocopium C31-dominated and 10 D. glynnii-dominated colonies, and from adult tissue of 5 Cladocopium C31-dominated and 6 D. glynnii-dominated parental colonies.
Lectin staining was performed as follows. Algal cell density was determined from quadruplicate counts using a Countess 3 FL Automated Cell Counter (Thermo Fisher Scientific). For each sample, 2.5 × 105 fixed symbiont cells were incubated separately with each fluorescent lectin at a final concentration of 1 mg ml−1 for 1 h at room temperature in the dark. Three stained replicates were prepared for each biological replicate. Following incubation, cells were washed with 1× PBS by centrifugation at 3000 × g for 5 min and resuspended in a final volume of 500 μl PBS [18].
Samples were processed on a CytoFlex S flow cytometer (Beckman-Coulter) for at least 90 s at a flow rate of 20 μl min−1 and data were analyzed using FloJo software (v10.10.0, BD BioSciences). Gain parameters were established before running experimental samples using unstained and stained algal cells. Algal cell populations were first gated by chlorophyll autofluorescence and Alexa Fluor 488 fluorescence (on the SYBR Green channel) based on excitation at 488 nm and detected by the PerCP channel (690/50 bandpass filter) and FITC channel (525/40 bandpass filter), respectively. The median fluorescence intensity (MFI) of the lectin-binding height signal (SYBR Green) was quantified using the gated algal population (Supplementary Fig. 1). Background fluorescence was corrected by subtracting the MFI of unstained cells from lectin-stained samples.
Statistical analysis
All statistical analyses were conducted in R (v4.1.2). Coral colonies were classified according to their dominant symbiont species based on qPCR estimates of Cladocopium C31 and D. glynnii relative abundance following Cunning et al. [33].
Lectin-binding profiles of symbiont cell-surface glycans were quantified as MFI for each of the six lectins (ConA, LTL, PNA, WGA, PHAL, GSIB4) and unstained controls. Lectin MFI values were corrected by subtracting the chlorophyll autofluorescence signal measured for each sample from the corresponding unstained negative control, thereby accounting for background fluorescence and isolating the lectin-specific binding signal. All subsequent statistical analyses were performed using background-corrected values. Multivariate differences in lectin-binding profiles between symbiont species and sample origin (eggs vs. parents) were assessed using permutational multivariate analysis of variance (PERMANOVA; 999 permutations) and homogeneity of multivariate dispersion (β-dispersion) implemented in the vegan package [34]. These tests assess if species differ in multivariate (glycan) space and if the variance associated with each species is significantly different. We used partial least squares discriminant analysis (PLS-DA), a supervised machine learning method to evaluate the importance of highly correlated variables for predicted categorical outcomes, to evaluate the ability of each glycan’s background-corrected, z-scored MFI to distinguish symbiont types in eggs and parents using the mixOmics package [35].
To test the effects of lectin type and symbiont species on lectin-binding profiles of symbionts isolated from eggs and parental coral colonies, we fitted a generalized linear model with a Student’s t error distribution using the glmmTMB package [36]. The model included lectin type, symbiont species, and host genotype nested within symbiont species as fixed effects (MFI ~ lectin × symbiont + symbiont/genotype). Model diagnostics were performed using the DHARMa package [37]. Significance of fixed effects was assessed using analysis of variance (ANOVA), and post hoc pairwise comparisons were conducted using Tukey-adjusted contrasts implemented in the emmeans package [38].
Associations between lectin-binding profiles of symbionts isolated from eggs and parental colonies were examined using pairwise correlation analyses. Correlation matrices were constructed from z-scaled MFI values across all six lectins, and we used Mantel tests (999 permutations) implemented in the vegan package [34] to evaluate if the distance matrices are correlated, which suggests a shared multivariate structure to the glycome. Comparisons were performed between symbiont species from eggs and between eggs and parents within each symbiont species.
We compared Mahalanobis distances between matched parent–offspring pairs (POPs) and unmatched comparisons (other) within each symbiont species to assess whether lectin-binding profiles of symbiont cell-surface glycans were conserved between parental colonies and their offspring, thereby quantifying parent–offspring continuity in glycan profiles. Mahalanobis distances were used to represent “glycomic” distance between sample pairs, because it accounts for correlations among variables in multivariate glycan abundance data. Distances were analyzed using a generalized linear model including symbiont species, comparison type (POPs or other), and their interaction (distance ~ symbiont × comparison type). Significance was assessed using ANOVA, and post hoc pairwise comparisons were conducted using Tukey-adjusted contrasts implemented in the emmeans package [38]. To assess transmission of each glycan, we used z-scaled MFI data as input for parent–offspring linear regressions separately for each lectin and symbiont type (egg ~ parent), and an ANCOVA to assess differences in slope between symbiont types for each lectin.
Results
Symbiont species and host life stage differences in lectin-binding profiles
Multivariate analysis revealed clear separation in lectin-binding profiles of symbiont cell-surface glycans between symbiont species at both life history stages. Principal component analysis showed distinct grouping of Cladocopium C31 and D. glynnii in eggs (PERMANOVA, P = .001; Fig. 1A) and parents (PERMANOVA, P = .001; Fig. 1B), indicating species-specific lectin-binding signatures. The lectin ConA contributed strongly to the separation between symbiont species in both eggs and adults. WGA and PNA also strongly separated symbiont species in eggs, but not in parental corals, suggesting a more complex glycan landscape in gametes than adults. PC2 captured substantial additional variation in eggs and within Cladocopium C31 in adults. Multivariate dispersion was not different between symbiont species in eggs (β-dispersion, P > .05; Fig. 1A) but was significantly higher in Cladocopium C31-hosting parents (β-dispersion, P = .043; Fig. 1B).
Figure 1.

Lectin-binding profiles distinguish symbiont species and host life stages. (A) Principal component analysis (PCA) of lectin-binding intensities in Cladocopium C31 (orange, n = 18) and D. glynnii (blue, n = 30) symbionts isolated from coral eggs. (B) PCA of lectin-binding intensities in Cladocopium C31 and D. glynnii symbionts isolated from parental colonies (n = 15 and n = 18, respectively). (C) PCA of lectin-binding intensities in Cladocopium C31 symbionts isolated from coral eggs (circles) and parental colonies (triangles) pairs (n = 15). (D) PCA of lectin-binding intensities in D. glynnii symbionts isolated from coral eggs and parental colony pairs (n = 18). In (A–D), vectors represent the contribution of individual lectins to the ordination. Ellipses represent the 95% confidence intervals around group centroids. Group separations were statistically significant (PERMANOVA P = .001). Asterisks denote adjusted P-values (*P < .05, ** P < .01, *** P < .001). (E) PLS-DA of each lectin-binding intensity profile for symbionts in eggs and parents. Lectins: ConA (concanavalin A, specific for D-mannose and D-glucose), LTL (L. tetragonolobus lectin, specific for L-fucose), PNA (Arachis hypogaea lectin, specific for D-galactose), WGA (wheat germ agglutinin, specific for N-acetylglucosamine and N-acetylneuraminic acid), PHA-L (phytohemagglutinin-L from P. vulgaris, specific for N-acetylglucosamine β(1–2) mannopyranosyl) and GS-IB4 (isolectin from G. simplicifolia, specific for N-acetyl-D-galactosamine and a-D-galactosyl residues).
Differences between symbionts isolated from eggs and parental colonies were detected in both species (PERMANOVA, P = .001; Fig. 1C and D), indicating that variability in lectin-binding profiles also differed based on symbiont community. In Cladocopium C31, the separation was less pronounced, and confidence ellipses demonstrated some overlap (Fig. 1C), but in D. glynnii, egg- and parent-derived symbionts formed discrete groups (Fig. 1D). Symbionts isolated from eggs had higher multivariate dispersion than symbionts isolated from parents in both species (β-dispersion, P < .001; Fig. 1C and D). PLS-DA showed that the lectins PNA and WGA were disproportionately important for distinguishing symbiont communities in eggs, whereas LTL and PHAL were more important in adults (Fig. 1E). The lectins ConA and GSIB4 were approximately equally important for distinguishing the symbiont community in eggs and parents.
Analysis of proportional MFI of lectin-binding signal composition revealed that both symbiont species from eggs and parental colonies were dominated by ConA and WGA signals, with relatively minor contributions from other lectins (Supplementary Fig. 2). In Cladocopium C31 from eggs, genotype-level profiles were relatively consistent, with ConA contributing the majority of total signal across all genotypes (Supplementary Fig. 2C). Durusdinium glynnii from eggs exhibited greater variability among genotypes, particularly in the relative contribution of WGA and secondary lectins (Supplementary Fig. 2D), suggesting increased heterogeneity in lectin-binding profiles within this species.
Lectin-specific differences in symbiont cell-surface glycan binding
To identify lectin-specific differences underlying multivariate patterns, we compared MFI across symbiont species using generalized linear models. In eggs and parental colonies, lectin type, symbiont species, and their interaction, all significantly influenced MFI (GLM, P < .0001 for all terms), indicating that glycan-binding differences are lectin-dependent and vary between symbiont species (Fig. 2). Host genotype nested within symbiont species also contributed significantly to variation in MFI (GLM, P < .001). Consistent with these effects, D. glynnii exhibited higher MFI than Cladocopium C31 for several lectins (Fig. 2, Supplementary Fig. 2), with the strongest differences observed in eggs in ConA and WGA (P < .0001), as well as GSIB4 (P = .003) and PNA (P = .012), and in parents in ConA (P = .012), GSIB4 (P = .045), and PHAL (P = .042).
Figure 2.

Lectin-binding intensity differs between species in symbionts isolated from coral eggs and parental colonies. (A) MFI raw data of lectin-binding measured in symbiont cells from the species Cladocopium C31 (orange, n = 18) and D. glynnii (blue, n = 30) isolated from coral eggs. (B) MFI raw data of lectin-binding measured in symbiont cells from the species Cladocopium C31 (n = 15) and D. glynnii (n = 18) isolated from parental coral colonies. Points represent genotype-level mean values. Bars indicate the mean across genotypes, and error bars represent the standard error (SE). Asterisks denote adjusted P-values (*P < .05, ** P < .01, *** P < .001). The horizontal dashed line indicates the upper y-axis limit of panel B and is included in both plots to facilitate comparison across different y-axis scales.
Correlation structure of lectin-binding profiles across symbiont species and host life stages
To characterize relationships between lectin-binding profiles of symbiont cell-surface glycans, we constructed correlation matrices for each symbiont species and coral life stage (Fig. 3). In Cladocopium C31, correlations were exclusively positive in eggs and parents, although some lectin pairs showed weak or no association. The overall correlation structure was significantly different between life history stages in Cladocopium C31 (Mantel r = 0.86, P = .001; Fig. 3A). In contrast, D. glynnii exhibited more variable correlation patterns, with both positive and negative associations observed in egg- and parent-derived symbionts. Generally weaker correlations within PNA and ConA in both eggs and parents with D. glynnii contributed to a lower correlation between sample types, although the overall correlation structure was still significantly different between life history stages (Mantel r = 0.51, P = .044; Fig. 3B). Correlation matrices were significantly different between symbiont species in samples from parents (Mantel r = 0.73, P = .003) and eggs (Mantel r = 0.78, P = .019).
Figure 3.

Pairwise Pearson correlations between lectin-binding intensities differ between symbiont species and host life stages. Heatmaps show pairwise Pearson correlations in lectin-binding intensities measured in (A) Cladocopium C31 and (B) D. glynnii cells isolated from coral eggs (upper triangles) and parental colonies (bottom triangles). Color scale represents the strength and direction of correlations (purple: positive, green: negative). Similarity between lectin correlation matrices was assessed using Mantel tests based on 999 permutations (PC-eggs vs C-parents = 0.001; PD-eggs vs D-parents = 0.044; PC-eggs vs D-eggs = 0.003; PC-parents vs D-parents = 0.019). Asterisks within cells indicate significant correlation coefficients between lectin-binding intensities (*P < .05, ** P < .01, *** P < .001).
Host genotype-specific similarity in symbionts lectin-binding profiles
To assess whether lectin-binding profiles of symbiont cell-surface glycans were conserved between parental colonies and their offspring, we compared Mahalanobis distances between matched POPs and unmatched comparisons (other) within each symbiont species. Distances were analyzed using a generalized linear model including symbiont species, comparison type (POPs or other), and their interaction. Distance was significantly influenced by the interaction between symbiont species and comparison type (χ2 = 23.26, df = 1, P < .001), but the main effect of symbiont and comparison type alone were not significant (Symbiont χ2 = 0.07, df = 1, P = .795; Group χ2 = 1.61, df = 1, P = .205). Post hoc comparisons revealed that distances were significantly smaller in POPs than in unrelated pairs in Cladocopium C31 (P = .003) and significantly higher than in unrelated pairs in D. glynnii (P < .0001; Fig. 4A). The parent–offspring regressions showed a significant parent–symbiont relationship in the lectins ConA (P = .023) and PNA (P = .028; Fig. 4B), while there was no significant effect in the other lectins (P > .05). For the significant lectins, R2 of the scaled parent–offspring regression were ConA (R2 = 0.42) and PNA (R2 = 0.03), indicating substantial explained variance. We observed near-zero or negative slopes for other lectins, which could reflect biological variation in glycomes across life history traits or may be representative of noise in a relatively small dataset. The slope of the parent–offspring regression was significantly different between symbiont species in ConA (P = .038) and PNA (P = .032), but not other glycans (Fig. 4B). We observed several negative correlations between parent and egg MFIs in several combinations, but none were significant.
Figure 4.

Lectin-binding profiles are conserved between symbiont generations. (A) Mahalanobis distance distributions comparing lectin-binding profiles for symbiont cells associated with coral eggs. Distances were grouped by symbiont (Cladocopium C31 and D. glynnii) and parental origin (parent–offspring population, POP; other populations, Other). Significance was assessed using Tukey-adjusted contrasts. Bars indicate the mean across genotypes, and error bars represent the standard error (SE). (B) Pairwise correlations between scaled lectin-binding intensities measured in symbionts isolated from coral eggs and their corresponding parental colonies, for Cladocopium C31 (orange) and D. glynnii (blue). Each panel shows one lectin (ConA, GSIB4, LTL, PHAL, PNA, WGA). The dotted line represents the 1:1 identity line, and the solid line represents a linear regression fit with 95% confidence interval shading. Pearson correlation coefficients are indicated. Asterisks denote adjusted P-values (*P < .05, ** P < .01, *** P < .001).
Discussion
The ability of coral reefs to persist under climate change depends in part on the composition and flexibility of corals’ symbiotic partnerships, which represent the energetic foundation of the ecosystem. Associations between Symbiodiniaceae and their cnidarian hosts rely on molecular specificity, which underpins the establishment and maintenance of the endosymbiosis. In vertically transmitting corals, symbionts are directly provisioned to offspring via eggs and are therefore expected to promote the continuity of symbiont communities across generations, increasing symbiont fidelity by coupling fitness between both partners [39]. This method of symbiont transmission is hypothesized to arise from more mutually beneficial partnerships [40] and may reduce the likelihood of incompatible or marginal associations [41]. However, it remains unclear whether the symbionts’ cellular traits are conserved during transmission and across host life stages, and how they may influence vertically transmitted symbioses.
Here, we examined cell-surface glycan profiles of Cladocopium C31 and D. glynnii in parental colonies and eggs in the vertically transmitting coral M. capitata. The Symbiodiniaceae ITS2 sequences associated with eggs largely mirror those of their parental colonies in Cladocopium C31- and D. glynnii-dominated genotypes [10], indicating stable transmission at the community level. Our results showed that glycan signatures were structured by symbiont species. The greater multivariate variation observed in Cladocopium C31 compared with D. glynnii may reflect underlying evolutionary differences between these symbiont species. Previous studies have shown that Cladocopium C31 exhibits greater intragenomic ITS2 diversity than D. glynnii, and this additional molecular complexity may contribute to the broader range of glycan profiles observed in this species [17]. Glycan signatures also differed between host life stages, with mannose/glucose and galactose emerging as key contributors to this pattern. Egg-derived symbionts exhibited greater variability in lectin-binding profiles compared to those from parental colonies (Fig. 1C and D). This pattern was evident in both symbiont species but was more pronounced in D. glynnii (Fig. 1D). Increased variability in eggs suggests that glycan profiles may be less constrained at early coral life stages, potentially reflecting heterogeneity in symbiont populations prior to stabilization within the adult host environment. In contrast, the reduced variability observed in parental colonies may indicate more consistent or regulated glycan expression in established symbioses. This shift from higher variability in eggs to more uniform profiles in adults is consistent with increasing constraint in host–symbiont interactions over time [8] and provides a potential framework for interpreting the roles of specific glycans across host life stages.
Mannose/glucose (ConA) and galactose (PNA) terminal glycans have been central to studies of Symbiodiniaceae cell–surface features and host–symbiont recognition. In our study, ConA exhibited the strongest MFI profile across samples (Figs 1 and 2; Supplementary Fig. 2), consistent with previous reports [14, 20, 24]. This pattern likely reflects the abundance of mannose- and glucose-containing glycans on the Symbiodiniaceae surface [14, 22, 24, 25, 31], supported by the cellulose-rich dinoflagellate cell wall [25] and the enrichment of terminal mannose residues on surface glycoproteins [24]. Functionally, mannose-rich glycans have been directly linked to symbiosis establishment and maintenance. Host-derived mannose-binding lectins localized around symbionts within the gastrodermis of Acropora millepora [42] and Pocillopora damicornis [43], and showed substantial variability in binding domains, suggesting a role in fine-scale recognition of compatible partners [42]. Experimental saturation of Exaiptasia diaphana lectin receptors with D-mannose reduced colonization success by homologous symbionts [28], further supporting a role in recognition rather than a purely structural function in dinoflagellate cell walls.
D-galactose–containing glycans similarly contribute to symbiotic interactions. Galactose residues are present on the surface of multiple Symbiodiniaceae species [14, 22, 24, 25] and have been implicated in symbiosis establishment in A. tenuis [44] larvae and anemone model [28]. Two D-galactose–binding lectins, SLL-2 and CeCL, induced the transition of Symbiodiniaceae from a motile, flagellated state to a non-motile coccoid form characteristic of the symbiotic state, and localized around symbiont cells within host tissues [19, 39–41, 45]. Together, these findings highlight both mannose/glucose- and galactose-containing glycans as key mediators of host–symbiont integration and emphasize the relative importance of galactose in gametes, where PNA is a stronger marker of symbiont variation and identity than in parents (Figs 1 and 4).
Multivariate differences between Cladocopium C31 and D. glynnii were supported by pairwise correlations in lectin-binding intensities, with ConA and PNA—key drivers of species-level separation—displaying coordinated positive binding patterns in egg-derived symbionts (Fig. 3). In parental colonies, ConA and PNA correlations diverged between species, positive in Cladocopium C31-dominated corals and negative in D. glynnii-dominated corals, although these relationships were not significant (Fig. 3). Previous work on M. capitata from Kāne‘ohe Bay showed that ConA binding profiles shift under thermal stress and are linked to oxidative stress, with similar trends observed for PNA [18]. Considering oxidative stress can alter glycan composition through redox-mediated modification of glycoproteins [46], we hypothesize that symbiont cell-surface glycans may integrate physiological state with recognition processes.
Within this framework, our results provide evidence that the transmission of specific cell-surface glycans is conserved across coral life stages in Cladocopium C31 and D. glynnii. The significant difference in Mahalanobis distances between matched POPs relative to unrelated comparisons (Fig. 4A) suggests that vertically transmitted Cladocopium C31 symbionts retain genotype-specific glycan signatures, consistent with parental effects mediated through direct transmission of symbiont traits. However, this conservation is not uniform across the glycome. Lectin-level analyses revealed that only ConA and PNA exhibited significant parent–offspring correlations (Fig. 4B), and these were species-specific, indicating that intergenerational similarity is driven by distinct glycan classes in each lineage. The higher multivariate similarity found in Cladocopium C31-dominated mothers and their eggs (Fig. 4A) is likely driven by mannose/glucose in this species, which is the most abundant glycan, weighting this analysis.
These same lectins were primary contributors to differences between symbiont species in both eggs and parents (Fig. 1), linking symbiont species divergence with the conservation of their glycan profiles between parents and offspring. This suggests that some glycan features, primarily mannose/glucose (ConA specificity), that distinguish Cladocopium C31 and D. glynnii are also those most consistently conserved between adult colonies and their eggs and may therefore play a role in maintaining host–symbiont compatibility. Conversely, galactose- and N-acetylglucosamine–containing glycans (PNA and WGA specificity, respectively) were disproportionately important for distinguishing symbionts in eggs (Fig. 1A) but contributed little to species separation in parental colonies (Fig. 1B). These glycan classes showed limited conservation between adult colonies and their eggs, suggesting roles specific to the egg stage distinct from maintaining host–symbiont compatibility. This type of variation across coral life stages is consistent with moderate differences in glycan conservation between symbiont species, suggesting that different glycan classes may be preferentially conserved during the transmission of Cladocopium C31 and D. glynnii from adult colonies to their eggs.
All pairwise correlations in Cladocopium C31 adults and eggs were positive, although some were not significant, indicating that differentiation between individuals within this population is driven by variation in lectin-binding intensity (Fig. 3A). Conversely, D. glynnii exhibited both positive and negative correlations among lectin probes, with several strong negative correlations observed in offspring that were not present in adults or in Cladocopium C31 (Fig. 3B).
Together, our findings support the hypothesis that vertical transmission preserves glycan features with putative roles in host–symbiont recognition while allowing flexibility in other components of the symbiont surface. Rather than broad inheritance of the glycome, specific glycan classes, including those potentially involved in host–lectin interaction, appear to be selectively conserved across generations. However, this conservation may also reflect structural constraints, molecular stability, or other physiological functions of Symbiodiniaceae. Future studies combining higher resolution glycomic approaches with functional assays should resolve specific glycan structures, distinguish among the potential functions, and extend these analyses across additional coral life stages, including larvae and juveniles. These approaches could also test whether shifts in the ConA:PNA ratio, reflecting mannose/glucose vs. galactose glycans, are associated with parental effects and the preferential association of D. glynnii under stress through glyco-redox–linked mechanisms. If confirmed, this selective retention may represent a mechanism by which corals maintain symbiont fidelity while retaining physiological plasticity under changing environmental conditions.
Supplementary Material
Acknowledgements
Hawaiian culture fosters a reciprocal connection between people and coral reefs, including those in Kāneʻohe Bay, O‘ahu, Hawai‘i, where this research was conducted. We hope to honor this relationship by recognizing its foundational importance in our work. We are grateful to the Coral Resilience Lab for field and laboratory support. All collections were made under Hawaiʻi Department of Land and Natural Resources permits to HIMB (SAP 2026-16). We thank the Walder-Christensen Charitable Fund for supporting this work. This is SOEST contribution #xx and HIMB contribution #xx.
Contributor Information
Giada Tortorelli, Hawai‘i Institute of Marine Biology, University of Hawai‘i at Mānoa, Kāneʻohe, HI 96744, United States.
Nerissa L Fisher, Center for Microbial Oceanography: Research and Education (C-MORE), University of Hawai‘i at Mānoa, Honolulu, HI 96822, United States.
Alyssa C Varela, Hawai‘i Institute of Marine Biology, University of Hawai‘i at Mānoa, Kāneʻohe, HI 96744, United States.
Sabrina L Rosset, Hawai‘i Institute of Marine Biology, University of Hawai‘i at Mānoa, Kāneʻohe, HI 96744, United States; Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48823, United States.
Immy A Ashley, Hawai‘i Institute of Marine Biology, University of Hawai‘i at Mānoa, Kāneʻohe, HI 96744, United States; Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, United States; Molecular Biology Institute, University of California Los Angeles, Los Angeles, CA 90095, United States; Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, CA 90095, United States.
Eva Majerová, Hawai‘i Institute of Marine Biology, University of Hawai‘i at Mānoa, Kāneʻohe, HI 96744, United States.
Khalil Smith, Hawai‘i Institute of Marine Biology, University of Hawai‘i at Mānoa, Kāneʻohe, HI 96744, United States.
Kira Hughes, Hawai‘i Institute of Marine Biology, University of Hawai‘i at Mānoa, Kāneʻohe, HI 96744, United States.
Crawford Drury, Hawai‘i Institute of Marine Biology, University of Hawai‘i at Mānoa, Kāneʻohe, HI 96744, United States.
Author contributions
G.T. and C.D. conceived the study and analyzed the results. G.T., K.H., and C.D. secured funding. G.T., N.L.F., A.C.V., S.L.R., I.A.A., E.M., K.S., and C.D. performed the experiments. G.T. wrote the manuscript. All authors collected data and revised the manuscript.
Supplementary material
Supplementary material is available at The ISME Journal online.
Conflicts of interest
The authors declare no conflicts of interest.
Funding
The Walder-Christensen Charitable Fund.
Data availability
All data are available in the supplementary materials and at github.com/GiadaTortorelli/M.capitata_parent.egg.symbionts_glycans.
References
- 1. Davy SK, Allemand D, Weis VM. Cell biology of cnidarian-dinoflagellate symbiosis. MMBR 2012;76:229–61. 10.1128/MMBR.05014-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. LaJeunesse TC, Parkinson JE, Gabrielson PW. et al. Systematic revision of Symbiodiniaceae highlights the antiquity and diversity of coral endosymbionts. Curr Biol 2018;28:2570–2580.e6. 10.1016/j.cub.2018.07.008 [DOI] [PubMed] [Google Scholar]
- 3. Vaga CF, Quattrini AM, de Lossio G. et al. A global coral phylogeny reveals resilience and vulnerability through deep time. Nature 2025;648:377–82. [DOI] [PubMed] [Google Scholar]
- 4. Rädecker N, Pogoreutz C, Gegner HM. et al. Heat stress destabilizes symbiotic nutrient cycling in corals. Proc Natl Acad Sci USA 2021;118:e2022653118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Weis VM. Cellular mechanisms of cnidarian bleaching: stress causes the collapse of symbiosis. J Exp Biol 2008;211:3059–66. 10.1242/jeb.009597 [DOI] [PubMed] [Google Scholar]
- 6. Helgoe J, Davy SK, Weis VM. et al. Triggers, cascades, and endpoints: connecting the dots of coral bleaching mechanisms. Biol Rev 2024;99:715–52. 10.1111/brv.13042 [DOI] [PubMed] [Google Scholar]
- 7. Eakin CM, Heron SF, Connolly SR. et al. Severe and widespread coral reef damage during the 2014–2017 global coral bleaching event. Nat Commun 2026;17:1318. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Baker AC. Flexibility and specificity in coral-algal symbiosis: diversity, ecology, and biogeography of Symbiodinium. Annu Rev Ecol Evol Syst 2003;34:661–89. 10.1146/annurev.ecolsys.34.011802.132417 [DOI] [Google Scholar]
- 9. Baird AH, Guest JR, Willis BL. Systematic and biogeographical patterns in the reproductive biology of scleractinian corals. Annu Rev Ecol Evol Syst 2009;40:551–71. 10.1146/annurev.ecolsys.110308.120220 [DOI] [Google Scholar]
- 10. Padilla-Gamiño JL, Pochon X, Bird C. et al. From parent to gamete: vertical transmission of Symbiodinium (Dinophyceae) ITS2 sequence assemblages in the reef building coral Montipora capitata. PLoS One 2012;7:e38440. 10.1371/journal.pone.0038440 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. de Souza MR, Caruso C, Ruiz-Jones L. et al. Community composition of coral-associated Symbiodiniaceae differs across fine-scale environmental gradients in Kāneʻohe Bay. R Soc Open Sci 2022;9:212042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Cunning R, Ritson-Williams R, Gates RD. Patterns of bleaching and recovery of Montipora capitata in Kāneʻohe Bay, Hawaiʻi, USA. Mar Ecol Prog Ser 2016;551:131–9. 10.3354/meps11733 [DOI] [Google Scholar]
- 13. Drury C, Bean NK, Harris CI. et al. Intrapopulation adaptive variance supports thermal tolerance in a reef-building coral. Commun Biol 2022;5:486. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. de Souza MR, Caruso C, Ruiz-Jones L. et al. Importance of depth and temperature variability as drivers of coral symbiont composition despite a mass bleaching event. Sci Rep 2023;13:8957. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Núñez-Pons L, Cunning R, Nelson CE. et al. Hawaiian coral holobionts reveal algal and prokaryotic host specificity, intraspecific variability in bleaching resistance, and common interspecific microbial consortia modulating thermal stress responses. Sci Total Environ 2023;889:164040. [DOI] [PubMed] [Google Scholar]
- 16. Wham DC, Ning G, LaJeunesse TC. Symbiodinium glynnii sp. nov., a species of stress-tolerant symbiotic dinoflagellates from pocilloporid and montiporid corals in the Pacific Ocean. Phycologia 2017;56:396–409. 10.2216/16-86.1 [DOI] [Google Scholar]
- 17. LaJeunesse TC, Thornhill DJ. Improved resolution of reef-coral endosymbiont (Symbiodinium) species diversity, ecology, and evolution through psbA non-coding region genotyping. PLoS One 2011;6:e29013. 10.1371/journal.pone.0029013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Tortorelli G, Rosset SL, Sullivan CE. et al. Heat-induced stress modulates cell surface glycans and membrane lipids of coral symbionts. ISME J 2025;19:wraf073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Dilworth J, Caruso C, Kahkejian VA. et al. Host genotype and stable differences in algal symbiont communities explain patterns of thermal stress response of Montipora capitata following thermal pre-exposure and across multiple bleaching events. Coral Reefs 2021;40:151–63. 10.1007/s00338-020-02024-3 [DOI] [Google Scholar]
- 20. Silverstein RN, Cunning R, Baker AC. Tenacious D: Symbiodinium in clade D remain in reef corals at both high and low temperature extremes despite impairment. J Exp Biol 2017;220:1192–6. 10.1242/jeb.148239 [DOI] [PubMed] [Google Scholar]
- 21. Rosset SL, Oakley CA, Ferrier-Pagès C. et al. The molecular language of the cnidarian–dinoflagellate symbiosis. Trends Microbiol 2021;29:320–33. 10.1016/j.tim.2020.08.005 [DOI] [PubMed] [Google Scholar]
- 22. Wood-Charlson EM, Weis VM. The diversity of C-type lectins in the genome of a basal metazoan, Nematostella vectensis. Dev Comp Immunol 2009;33:881–9. 10.1016/j.dci.2009.01.008 [DOI] [PubMed] [Google Scholar]
- 23. Jimbo M, Yanohara T, Koike K. et al. The D-galactose-binding lectin of the octocoral Sinularia lochmodes: characterization and possible relationship to the symbiotic dinoflagellates. Comp Biochem Physiol 2000;125:227–36. [DOI] [PubMed] [Google Scholar]
- 24. Lin K, Wang J, Fang L. Participation of glycoproteins on zooxanthellal cell walls in the establishment of a symbiotic relationship with the sea anemone, Aiptasia pulchella. Zool Stud 2000;39:172–8. [Google Scholar]
- 25. Markell DA, Trench RK, Iglesias-Prieto R. Macromolecules associated with the cell walls of symbiotic dinoflagellates. Symbiosis 1992;12:19–31. [Google Scholar]
- 26. Logan DDK, Laflamme AC, Weis VM. et al. Flow-cytometric characterization of the cell-surface glycans of symbiotic dinoflagellates (Symbiodinium spp.). J Phycol 2010;46:525–33. 10.1111/j.1529-8817.2010.00819.x [DOI] [Google Scholar]
- 27. Wood-Charlson EM, Hollingsworth LL, Krupp DA. et al. Lectin/glycan interactions play a role in recognition in a coral/dinoflagellate symbiosis. Cell Microbiol 2006;8:1985–93. 10.1111/j.1462-5822.2006.00765.x [DOI] [PubMed] [Google Scholar]
- 28. Tortorelli G, Rautengarten C, Bacic A. et al. Cell surface carbohydrates of symbiotic dinoflagellates and their role in the establishment of cnidarian–dinoflagellate symbiosis. ISME J 2022;16:190–9. 10.1038/s41396-021-01059-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Bay LK, Cumbo VR, Abrego D. et al. Infection dynamics vary between Symbiodinium types and cell surface treatments during establishment of endosymbiosis with coral larvae. Diversity 2011;3:356–74. 10.3390/d3030356 [DOI] [Google Scholar]
- 30. Parkinson JE, Tivey TR, Mandelare PE. et al. Subtle differences in symbiont cell surface glycan profiles do not explain species-specific colonization rates in a model cnidarian-algal symbiosis. Front Microbiol 2018;9:842. 10.3389/fmicb.2018.00842 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Tivey TR, Parkinson JE, Mandelare PE. et al. N-linked surface glycan biosynthesis, composition, inhibition, and function in cnidarian-dinoflagellate symbiosis. Microb Ecol 2020;80:223–36. 10.1007/s00248-020-01487-9 [DOI] [PubMed] [Google Scholar]
- 32. Maruyama S, Mandelare-Ruiz PE, McCauley M. et al. Heat stress of algal partner hinders colonization success and alters the algal cell surface glycome in a cnidarian-algal symbiosis. Microbiol Spectrum 2022;10:e01567–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Cunning R, Baker AC. Excess algal symbionts increase the susceptibility of reef corals to bleaching. Nat Clim Chang 2013;3:259–62. 10.1038/nclimate1711 [DOI] [Google Scholar]
- 34. Oksanen J, Blanchet FG, Kindt R. et al. Community ecology package. R package version 2013;2:321–6. [Google Scholar]
- 35. Rohart F, Gautier B, Singh A. et al. mixOmics: an R package for 'omics feature selection and multiple data integration. PLoS Comput Biol 2017;13:e1005752. 10.1371/journal.pcbi.1005752 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Brooks ME, Kristensen K, Van Benthem KJ. et al. glmmTMB Balances Speed and Flexibility among Packages for Zero-Inflated Generalized Linear Mixed Modeling. The R Journal. 2017;9:378–400. 10.32614/RJ-2017-066. [DOI] [Google Scholar]
- 37. Hartig F. DHARMa: residual diagnostics for hierarchical (multi-level/mixed) regression models. CRAN: contributed packages 2016. [Google Scholar]
- 38. Lenth R. emmeans: estimated marginal means, aka least-squares means. R package version 2023;1.8.5. [Google Scholar]
- 39. Douglas AE. Host benefit and the evolution of specialization in symbiosis. Heredity 1998;81:599–603. 10.1046/j.1365-2540.1998.00455.x [DOI] [Google Scholar]
- 40. Fabina NS, Putnam HM, Franklin EC. et al. Transmission mode predicts specificity and interaction patterns in coral-Symbiodinium networks. PLoS One 2012;7:e44970. 10.1371/journal.pone.0044970 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Weis VM, Reynolds WS, DeBoer MD. et al. Host-symbiont specificity during onset of symbiosis between the dinoflagellates Symbiodinium spp. and planula larvae of the scleractinian coral Fungia scutaria. Coral Reefs 2001;20:301–8. 10.1007/s003380100179 [DOI] [Google Scholar]
- 42. Kvennefors ECE, Leggat W, Hoegh-Guldberg O. et al. An ancient and variable mannose-binding lectin from the coral Acropora millepora binds both pathogens and symbionts. Dev Comp Immunol 2008;32:1582–92. 10.1016/j.dci.2008.05.010 [DOI] [PubMed] [Google Scholar]
- 43. Vidal-Dupiol J, Adjeroud M, Roger E. et al. Coral bleaching under thermal stress: putative involvement of host/symbiont recognition mechanisms. BMC Physiol 2009;9:14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Kuniya N, Jimbo M, Tanimoto F. et al. Possible involvement of tachylectin-2-like lectin from Acropora tenuis in the process of Symbiodinium acquisition. Fish Sci 2015;81:473–83. 10.1007/s12562-015-0862-y [DOI] [Google Scholar]
- 45. Jimbo M, Yamashita H. Effects of lectin in the scleractinian coral Ctenactis echinata on symbiotic zooxanthellae. Fish Sci 2010;76:355–63. 10.1007/s12562-009-0204-z [DOI] [Google Scholar]
- 46. Taniguchi N, Kizuka Y, Takamatsu S. et al. Glyco-redox, a link between oxidative stress and changes of glycans: lessons from research on glutathione, reactive oxygen and nitrogen species to glycobiology. Arch Biochem Biophys 2016;595:72–80. 10.1016/j.abb.2015.11.024 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data are available in the supplementary materials and at github.com/GiadaTortorelli/M.capitata_parent.egg.symbionts_glycans.
