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Diversity and flexibility of algal symbiont community in globally distributed larger benthic foraminifera of the genus Amphistegina



Understanding the specificity and flexibility of the algal symbiosis-host association is fundamental for predicting how species occupy a diverse range of habitats. Here we assessed the algal symbiosis diversity of three species of larger benthic foraminifera from the genus Amphistegina and investigated the role of habitat and species identity in shaping the associated algal community.


We used next-generation sequencing to identify the associated algal community, and DNA barcoding to identify the diatom endosymbionts associated with species of A. lobifera, A. lessonii, and A. radiata, collected from shallow habitats (< 15 m) in 16 sites, ranging from the Mediterranean Sea to French Polynesia. Next-generation sequencing results showed the consistent presence of Ochrophyta as the main algal phylum associated with all species and sites analysed. A significant proportion of phylotypes were classified as Chlorophyta and Myzozoa. We uncovered unprecedented diversity of algal phylotypes found in low abundance, especially of the class Bacillariophyta (i.e., diatoms). We found a significant influence of sites rather than host identity in shaping algal communities in all species. DNA barcoding revealed the consistent presence of phylotypes classified within the order Fragilariales as the diatoms associated with A. lobifera and A. lessonii, while A. radiata specimens host predominately diatoms of the order Triceratiales.


We show that local habitat is the main factor influencing the overall composition of the algal symbiont community. However, host identity and the phylogenetic relationship among hosts is relevant in shaping the specific endosymbiont diatom community, suggesting that the relationship between diatom endosymbiont and hosts plays a crucial role in the evolutionary history of the genus Amphistegina. The capacity of Amphistegina species to associate with a diverse array of diatoms, and possibly other algal groups, likely underpins the ecological success of these crucial calcifying organisms across their extensive geographic range.


Algal symbiosis drives the normal functioning of coral reef ecosystems [1]. It plays an important role in facilitating the adaptation or acclimatisation of organisms to environmental change, and their capacity to successfully expand into new habitats [2]. The algal endosymbionts allow hosts to exploit light as an energy source in oligotrophic conditions [3], and since symbiont communities can often confer distinct physiological capacities they influence the host’s geographic distribution range or habitat preferences (e.g., [4]). For example, the symbiosis between reef-building corals and dinoflagellates is crucial for the persistence of coral reefs [5] but makes them inherently vulnerable to environmental change when this symbiosis is lost (i.e., thermally induced bleaching [6];). However, the capacity of hosts to utilise a diverse pool of symbionts may alleviate this vulnerability and provide hosts with the capacity to acclimate to ongoing ocean warming (e.g., [7, 8]). Symbiosis is influenced by complex interactions between the host, the symbionts, and the local environment [9], which shapes the fitness of the holobiont (i.e., host-symbiont complex and associated microbiome) [10].

Larger benthic foraminifera (LBF) are amongst the most common and abundant marine organisms to host algal symbionts [11] and are known to have an obligatory symbiosis with multiple groups of algae, such as rhodophytes, chlorophytes, diatoms, and dinoflagellates [12]. The ecological advantage of maintaining algal symbiosis is evident in the recurrent emergence of symbiosis in foraminifera over the past 350 My, despite repeated extinction events of symbiotic species [13]. Symbiosis has driven morphological differentiation and speciation of symbiont-bearing species along depth gradients (e.g., [14, 15]), as well as ‘horizontally’ across trophic gradients (e.g., [16]). For example, the depth distribution of diatom-bearing species is viewed as indicative of their adaptive potential to wide light intensity and spectrum [17, 18], and can utilise a wider band of the available light spectrum (reviewed in [19]).

Symbiont diversity is also closely linked to host identity and phylogeny. It has been shown that in diatom-bearing LBF of the genus Amphistegina, the similarities and differences in lineages of endosymbionts of four closely related species are consistent with what is known of their evolutionary histories [20]. Similarly, dinoflagellate symbionts found in the Caribbean and the Indo-Pacific show phylogenetic divergence, which is consistent with the phylogenetic relationship within their LBF hosts [21]. Some species of Amphistegina show a stable and persistent algal symbiosis unaffected by water quality gradients [22], while the diversity of algal symbionts in diatom-bearing nummulitids changes over depth [23]. The diversity of symbionts might also play a key role in thermal stress tolerance [24, 25], and potentially facilitates geographic range expansion in response to ocean warming [26, 27]. The presence of a consortium of diverse algal species that can be functionally relevant within different environmental conditions may include thermo-tolerant genotypes or species [22, 25]. Similar patterns of changes in algal symbiont consortiums can also be found in some species of dinoflagellate-bearing LBF, where mixed infections are common [9, 21]. Yet, it remains unclear whether symbiont community is driven by host identity (i.e., phylogenetic lineage), habitat (e.g., physicochemical conditions), or a combination of these factors, and to what extent the diversity of associated symbionts allows LBF to respond to changes in environmental conditions and expand their distribution range across shallow habitats worldwide.

Here, we utilise next-generation sequencing to examine the diversity of algal symbiont communities associated with morphotypes of Amphistegina lobifera, A. lessonii and A. radiata living in shallow habitats (< 15 m) across the Mediterranean, Red Sea, Indian and Pacific Oceans. Amphistegina lobifera and A. radiata rarely overlap in distribution along the depth gradient. Amphistegina lobifera frequently occupy shallow areas (0–12 m), and A. radiata is known to be a deep specialist, with abundances peaking between 30 and 90 m, and rarely occupying shallow depths [15, 28]. In contrast, A. lessonii regularly co-occurs with A. lobifera and A. radiata, and this overlap is largely contingent on local geography and environmental conditions of sites [15]. Additionally, A. radiata occurs almost exclusive on rubble, whereas A. lobifera and A. lessonii also occur epiphytically on macroalgae [18] and seagrass (e.g., [29]). Specifically, we investigate the influence of the local habitat on the composition of the algal symbiont community within individual species, but also in sites where A. lobifera and A. lessonii co-occur. We used DNA barcoding to explicitly address the level of endosymbiont specificity between different species hosting diatoms, and evaluate whether these host-endosymbiont associations are species-specific. We distinguish between “endosymbionts”, such as diatoms where a known long-term mutual relationship exists in Amphistegina sp. [30], and a rather flexible “algal symbiont community” with other algae taxa where the nature and duration is not yet known.


Diversity and identity of algal symbionts

The algal symbiotic community of Amphistegina consisted of 6232 identified ASVs. After the removal of singleton and low count ASVs (< 5% summed across all samples), a total of 527 ASVs remained. Estimated total alpha diversity per specimen varied between species and among sites (Fig. 1; Table 1). Among sites, alpha diversity is consistently variable between specimens in all three species, and there is no clear pattern between diversity and site (Fig. 1a; Supplementary Table S1). The highest average diversity of ASVs was found in A. radiata collected from Kimbe Bay, Papua New Guinea, whereas the lowest diversity was consistently found in A. lessonii specimens (Fig. 1a). In contrast, Simpson’s diversity index, which incorporates evenness, is strongly constrained among sites in A. lobifera and A. radiata, but it varies between sites in A. lessonii (Fig. 1a). Within species, alpha diversity in A. lessonii is consistently lower than in A. lobifera and A. radiata (Fig. 1b). Additionally, Simpson’s index is significantly lower in A. lessonii than A. lobifera and A. radiata (Fig. 1b), suggesting a higher prevalence of dominant ASVs in A. lessonii.

Fig. 1
figure 1

Estimated richness (Chao 1 and Simpson) of ASVs. (a) Estimate richness per specimens in each collection site. (b) Average richness per species, including all specimens collected from different sites

Table 1 Kruskal-Wallis rank sum test results of diversity indices among sites and species

ASVs classified as Ochrophyta, which includes diatoms known to be endosymbionts of Amphistegina, were the most prevalent (Fig. 2). The overall relative abundance of Ochrophyta was 69.6 ± 2.4% (mean ± SEM). However, other algal phyla, such as Chlorophyta (14.8 ± 1.8%), Myzozoa (11.2 ± 1.5%), and Rhodophyta (4.3 ± 0.9%) represented a substantial proportion of the associated algal symbiont community in Amphistegina as well (Fig. 2; Supplementary Table S2). For example, the average relative abundance of Chlorophyta was as high as 57.3 ± 15.6% in samples of A. lessonii from Zanzibar, the highest abundance of an algal taxon other than diatoms (Figs. 2, 3). Within the Chlorophyta taxa, Ostreobium was the most abundant genus observed, particularly in A. lessonii. Relative abundance of Ostreobium reached as much as 98% of ASVs in A. lessonii specimens collected from Zanzibar (Supplementary Table S2). Ostreobium was also found in lower abundance (< 5%) in A. lobifera and A. radiata from Micronesia. Another major algal group represented in the algal community were the Myzozoa, in particular from the class Dinophyceae such as those belonging to the families Amphidiniales and Peridiniales. For example, in A. lessonii from Kimbe Bay, ASVs classified as Myzozoa represented a substantial proportion (51.3%) of the algal community (Supplementary Fig. S1). Lastly, ASVs classified as Rhodophyta were also present, but only in significant proportions in A. lessonii. While most ASVs were classified as belonging to the family Corallinales, other families such as Ceramiales were also identified (Supplementary Table S2).

Fig. 2
figure 2

Relative abundance of algal taxa across different species and sites. (a) Relative abundance of algal groups classified as ‘Ochrophyta’, ‘Chlorophyta’, ‘Myzozoa’, and ‘Rhodophyta’

Fig. 3
figure 3

Relative abundance of (a) classes of ‘Ochrophyta’ and (b) orders of Bacillariophyceae across different species and sites

In total, 3603 ASVs were classified as Ochrophyta. Within the phylum Ochrophyta, ASVs classified as class Bacillariophyceae (i.e., diatoms) were consistently present across sites and species (Fig. 3a). The most common Bacillariophyceae belonged to the order Fragilariales, which represented over 60% of identified diatoms. Common genera include Serratifera and Nanofrustulum (Supplementary Table S2). Diatoms from the order Triceratiales (genus Orizaformis) were found to be common within specimens of A. radiata, especially those specimens collected from Micronesia (24.1 ± 9.6% of the identified diatoms), which also showed the lowest relative abundance of Fragilariales (59.5 ± 3.7%). Triceratiales were rare or absent in A. lessonii and A. lobifera (Fig. 3b).

Multivariate analysis of diversity of algal biome within and between species and sites

In all species analysed, the factor ‘Site’ captured a substantial proportion of the overall variability (Table 2). However, in all three species variability was high and inconsistent between sites. For example, variability within samples of A. lobifera collected from Zanzibar, Indonesia, and the Gulf of Aqaba, Eilat was low, while samples from Okinawa, Ningaloo Reef, and the Great Barrier Reef showed high variability (Supplementary Fig. S2). As a result, the factor ‘Site’ explained ~ 45% of the variability in the data. Similar to A. lobifera, A. lessonii and A. radiata also showed this pattern of variability, with some sites featuring more variation than others in the algal community between sites (Supplementary Figs. S3 and S4). Nevertheless, the factor ‘Site’ captured ~ 50% of the variability found in these species (Table 2).

Table 2 One- and Two-way Permutation ANOVA results for Bray Curtis distance matrix of algal symbiont community associated with specimens of A. lobifera, A. lessonii and A. radiata collected across a wide distribution range, analysed together and individually. Results are based on 1000 permutations

Comparison of algal symbiont community between A. lobifera and A. lessonii showed that despite algal symbionts being more distinct between sites than between species, variability within sites was highly uneven (Fig. 4; Table 2). As a result, the majority of variability found in our dataset could not be explained by these two factors independently nor by their interaction (~ 56%). Sites contained algal communities with low variability shared by both species (i.e., Palau), low variability with discrete species-specific communities (i.e., Zanzibar and Lod Howe Island), and high variability regardless of species identity (i.e., Kimbe Bay and Ningaloo Reef).

Fig. 4
figure 4

Two-dimensional plots of Principal Coordinates Analysis utilising Bray Curtis distance matrix showing differences in algal symbiont community in A. lobifera and A. lessonii collected from different sites

Species-specificity of algal endosymbionts

While most endosymbiont diatoms were successfully amplified and sequenced, some PCR amplicons of diatom endosymbionts of A. lessonii and A. lobifera were heterogeneous and could not be directly sequenced through Sanger sequencing. In addition, diatoms from specimens of A. lessonii collected from French Polynesia and A. lobifera collected from Greece failed to amplify using the SymSF1-1528R primer set. As a result, we ended up with 68 diatom endosymbiont sequences in our dataset (Supplementary Table S3). DNA barcoding of diatom endosymbionts revealed that A. lobifera and A. lessonii share several endosymbionts (Fig. 5), independent of their collection site, whereas specificity was observed in A. radiata. Both A. lessonii and A. lobifera host several haplotypes belonging to different lineages, but all haplotypes fall within the order Fragilariales. Conversely, all specimens of A. radiata host diatom endosymbionts primarily belonging to the order Triceratiales (Fig. 6).

Fig. 5
figure 5

Median-joining haplotype network showing phylogenetic relationship of diatoms collected from A. lobifera, A. lessonii, and A. radiata. Circled areas are proportional to the number of individuals bearing a particular haplotype. If neighbouring haplotypes differ by more than a single substitution, the changes are designated as ticks. Numbers in the parentheses indicate the observed number of haplotypes

Fig. 6
figure 6

Unrooted phylogenetic tree with taxonomy assignment of unique sequences of diatom endosymbionts recovered from A. lobifera, A. lessonii, and A. radiata. Sequences of endosymbionts of A. lobifera from Eilat [31], A. lessonii from Zanzibar and A. gibbosa from the Florida Keys [24], as well as a sequence of M. polymorphus as an outgroup were added. Bootstrap support above 70% is given at the respective nodes


Algal symbiont plasticity facilitates host organisms to accommodate changes in environmental conditions (e.g. [32]). Our results showed high algal symbiont flexibility in Amphistegina, which potentially underpins their wide distribution range and adaptation capacity (e.g., [27, 33]). The similarities and differences in symbiont associations of the three species of Amphistegina are primarily shaped by site at which the individual occurs rather than the identity of the species analysed in our study. This association between site and algal symbiont community is expected (e.g., [4]), but these findings reveal an unexpectedly high level of variability in the algal communities within sites, especially in A. lobifera and A. lessonii. Each site is subject to a unique set of environmental conditions, which dictate the performance of differing algal symbiont types, and consequently the fitness of the host [22, 24].

Our results show that the most common endosymbionts in Amphistegina belonged to Ochrophyta, more specifically diatoms of the order Fragilariales (class Bacillariophyceae), confirming and expanding on previous results [20, 22, 24, 34] and 2000 + isolations of diatoms in culture (reviewed in [35]). We unveil an unprecedented diversity of diatoms, especially in A. lobifera and A. radiata, supporting earlier morphological observations that Amphistegina seem to be particularly favourable to form associations with a wide range of diatom species [36]. Despite the low number of specimens collected in our study, A. radiata shows the highest alpha diversity among species analysed, and therefore patterns of diversity are unlikely to be an artefact of sampling effort. We also find a consistent presence of ASVs classified as Chlorophyta and Myzozoa. The nature of this relationship is unknown, and these taxa are likely to have a transient relationship with Amphistegina. For example, we detect a substantial presence of Ostreobium sp. (Chlorophyta) and ASVs belonging to Dinophyceae in A. lessonii, and a lesser degree in A. lobifera and A. radiata. These results add to the growing evidence that the symbiont community of LBF is far more complex than previously assumed (e.g., [22, 37]).

We demonstrate that symbiont communities are mainly dictated by their collection site. While patterns of alpha diversity are partly informed by species identity, levels of flexibility are predominantly shaped by site. This suggests a crucial role of the symbiont community as an important interface between the host and the local environment (e.g. [24, 25]) through the capacity of symbionts to assist with modulating local physicochemical conditions (e.g., [38]). Symbiont communities respond differently to varying conditions, and the high variability within sites reveals that a wide array of symbiont communities is available within most sites (Fig. 4). Conversely, the algal symbiont community is more constrained in some sites than others, raising the possibility that local availability rather than host selectivity shape the host’s symbiont community (e.g., [39]). For example, A. lobifera populations that occur at the edge of their geographic distribution tend to have a highly variable algal community, with high variability between specimens from the same site (e.g., Okinawa, Ningaloo Reef, Sicily), whereas in the core of their distribution a consistent algal community across specimens is more common (e.g., Palau, Indonesia, Great Barrier Reef). The ability to acquire a variety of algal symbionts possibly imbues an advantage on populations at the range expansion forefront, allowing an increased environmental tolerance provided by the symbionts (e.g., [25]). In contrast, A. lessonii not only showed lower alpha diversity of algal symbionts compared to both other Amphistegina species but also less variability among sites. As a result, we were unable to find a universal core algal biome across all Amphistegina species and sites analysed, and only a local-scale species-specific core biome was detected, further supporting the hypothesis that the composition of the algal symbiont community is largely shaped by site [22]. Ultimately, our results suggest that local microhabitat, and the environmental factors associated with it, are likely to impose the strongest influence on the availability of algal taxa and how hosts acquire their symbionts.

The ability to acquire a wide array of algal taxa (i.e., flexibility) or constraints in algal acquisition (i.e., specificity) also appear to vary according to the taxonomic scale being analysed. Other diatom-bearing genera of foraminifera are hosts to diatoms of families other than Fragilariales. For example, Pararotalia calcariformata primarily hosts M. polymorphus [34], which belongs to the family Cymatosirales. Whereas nummulitids such as Heterostegina, Cycloclypeus, and Nummulites host diatoms belonging to the family Thalassionematales [23], and the diversity of diatoms within nummulitids is often low [36]. A similar pattern is also found in dinoflagellate-bearing species. The majority of dinoflagellate-bearing genera consistently retain a specific symbiont group [40]. Conversely, analysis of algal symbiont communities along a natural environmental gradient showed that the dinoflagellate-bearing M. vertebralis has highly flexible symbiosis at species level [41]. Similar to our results, different populations of Marginopora select their algal symbionts according to their local environment (e.g., [41]). This means that specificity may be more prevalent at higher taxonomic levels (i.e., class to family), and increasingly flexible as taxonomic scale decreases (i.e., genus and species).

Another possibility to consider is that some algal taxa (i.e., less abundant diatom taxa and other algal groups found in low abundance) are used as food by the hosts or epiphytes. As food, algal species could be retained in the cytoplasm of the host and show up in the sequences despite being functionally irrelevant for the symbiont pool. It has been demonstrated that Amphistegina relies on photosynthesis for most of its energy requirements [42]. Yet, Amphistegina is known to utilise heterotrophic feeding on algae and bacteria for nutrient acquisition [43]. Species within the algal symbiont community found in low abundance (between 1 and 5%) detected in our study, and previous culturing studies (reviewed in [30]), could play an important role as associates, but they are likely to be used as food as opposed to as to be primary endosymbionts [20]. The presence of other algal groups such as Chlorophyta, Myzozoa, and Rhodophyta can be due to the common association of Amphistegina with different types of substrates. Amphistegina species can live as epiphytes on several substrates ranging from turf algae on coral rubble in the Great Barrier Reef [28, 44] to growing on macroalgae Jania sp. in the Mediterranean Sea [45] as well as on other types of algae where they find optimal light and nutrient conditions for growth (e.g., [46]).

Finally, the presence of different diatom groups may reflect how species of Amphistegina occupy different depth ranges and habitats. Amphistegina radiata tends to be more abundant at greater depths and commonly occurs within reef rubble [15, 28],. Amphistegina lobifera is constrained to shallow habitats [15, 28], but has an exceptional capacity of extending its distributional range [26] because it can retain its thermal tolerance as an invading species [45] and ability to continue to thrive under a wide range of pCO2 conditions [31]. It is also suggested that A. radiata belongs to a separate lineage that evolved independently from A. lessonii and A. lobifera [47]. We found that A. radiata specimens host phylotypes belonging to the diatom order Triceratiales (class Bacillariophyceae; Fig. 3), which was absent in A. lobifera and A. lessonii. These results further support previous barcoding analysis that also showed A. radiata can host diatoms other than Fragilariales [20]. It seems that the preference for Fragilariales or Triceratiales (Figs. 4, 6) is consistent with morphological adaptation to light and habitat preference between the two groups (A. lobifera-A. lessonii and A. radiata [47, 48];). Nevertheless, the presence of Triceratiales in A. radiata, in both Sanger and NGS sequencing datasets, and the absence of this algal group in A. lobifera and A. lessonii collected from the same sites (i.e., Micronesia and Kimbe Bay, Papua New Guinea) suggests a species-specificity relationship between diatom endosymbionts within Amphistegina. Previous studies have also shown A. gibbosa, which is a species assumed to belong to the same lineage as A. radiata and is restricted to the Atlantic Ocean, to be associated with a single sequence type of Fragilariales [24] or very low symbiont diversity [20]. The limited geographic distribution of A. gibbosa might contribute to the reduced number of symbionts found as in the Caribbean the diversity of symbionts available is likely to be lower (e.g., [49]). Overall, this reflects what is known of the evolutionary histories of Amphistegina [47].


The analysis of our global-scale dataset shows that the three most common shallow-water species of Amphistegina primarily host diatoms but can also associate with a wide range of other algal groups. Our results further suggest that while the presence of an algal symbiont community is crucial to the host, the identity of species within the community is not, and that the nature of the symbiont community is primarily shaped and evolutionarily reinforced by local habitat. Nevertheless, the differences in lineages of diatom endosymbionts likely reflect the phylogenetic relationship between hosts. The differences in their diatom symbionts, which are evident at the order level, represent the possibility that the two Amphistegina lineages (i.e., A. lobifera-A. lessonii and A. radiata) independently acquired, and co-evolved with, their symbionts. The ability to acquire a diverse and flexible array of algal species within these two orders might underlie their ubiquitous presence throughout the Indo-Pacific and the Red Sea, and most recently their successful invasion of the Mediterranean Sea [50]. Hence, Amphistegina populations can respond to shifts in environmental conditions and occupy a wide range of habitats, making them well-suited to further adapt to a changing climate.


Species, study sites and collection of samples

Live adult specimens of Amphistegina lobifera, A. lessonii, and A. radiata were collected across a broad geographic range encompassing the Mediterranean Sea, Red Sea, Indian Ocean, and Pacific Ocean (Fig. 7; Table 3) including 16 reef sites. These sites capture a wide range of environmental conditions and span the known geographic distribution of these species [53]. However, not all species were retrieved from all sites (Fig. 7). For this study, samples were collected from shallow areas of the reef slope (< 12 m water depth) by snorkelers or SCUBA divers following previously described methods [33]. Briefly, pieces of reef rubble containing the targeted species were collected, scrubbed, and specimens picked out and immediately placed in 96% ethanol or air dried after sampling for further analysis. All specimens per site were collected from the same rubble sample.

Fig. 7
figure 7

Specimens of (a) Amphistegina lobifera, (b) A. lessonii, and (c) A. radiata collected from the same habitat in Kimbe Bay, Papua New Guinea. Scale bars represent 1 mm in (a) and (b), and 2 mm in (c). Note that specimens were preserved in 96% ethanol, and therefore symbiont pigment colour shown here does not represent natural coloration. (d) Sampling sites across the Mediterranean (Sicily and Greece), Red Sea (Eilat), Indian Ocean (Maldives, Mauritius, Zanzibar, and Ningaloo Reef), and Pacific Ocean (Indonesia, Kimbe Bay in Papua New Guinea, Okinawa in Japan, Palau, Micronesia, Hawai’i, Great Barrier Reef, and Lord Howe Island). Red, green, and blue circles represent collection sites for A. lessonii, A. lobifera, and A. radiata, respectively. Map was generated in R using the packages ggspatial 1.1.4 [51] and rnaturalearthdata 0.1.0 [52]. Vector map data from

Table 3 Collection sites, coordinates (lat; long), and depth of samples collection, and number of specimens per species analysed in our study

Samples processing and DNA extraction

Between four and twelve specimens per species per site were selected. In the laboratory, specimens were cleaned with 96% molecular grade ethanol under a stereomicroscope, and individual photos were taken utilising a stacking microscope (Zeiss SteREO Discovery V12). Individuals were subsequently placed in tubes containing 96% molecular grade ethanol for further wash and removal of any contamination on the shell. Individuals were air dried, then placed in individual tubes containing 200 μl of lysis buffer with Proteinase K. DNA extractions were conducted using the QIAamp® DNA Micro kit (Qiagen, Germany) according to manufacturer’s instructions. DNA concentration was measured using the DropSense96 platform (Trinean, Belgium). Total DNA concentration was standardised to 2 ng per μl across all samples.

Library preparation, next-generation sequencing, and sequences analysis

Following quality control post DNA extraction, a subset containing 177 specimens were retained for library preparation (Table 1). To identify the algal symbiont community in Amphistegina, we amplified the hypervariable V4 region of the 18S SSU rRNA [54] utilising the universal 18S eukaryotic primers TAReuk454FWD (5′- CCAGCASCYGCGGTAATTCC − 3′) and TAReukREV3 (5′- ACTTTCGTTCTTGATYRA -3′) [55] with Nextera™ tags (Illumina, USA). All reactions were performed in 20 μl volumes containing 1x TaqMan™ Environmental Master Mix 2.0 (ThermoFisher, USA), 100 pmol of each primer, and approximately 6 ng of template DNA. This hypervariable region was amplified utilising the following conditions: initial denaturation at 95 °C for 10 min, followed by 40 cycles of 30 s denaturation at 95 °C, annealing at 52 °C for 45 s, and final extension at 72 °C for 1 min, and ended with a final extension at 72 °C for 5 min. Libraries were visualised by a 1% agarose gel electrophoresis stained with ethidium bromide. In total, amplification was successful for 175 specimens. Positive libraries were purified using a magnetic-beads based NucleoMag® NGS clean-up kit following the manufacturer’s instructions manual. Each purified library was then barcoded with unique Nextera™ labels in a second PCR reaction as follows: initial denaturation at 95 °C for 10 min, followed by 30 cycles of 30 s denaturation at 95 °C, annealing at 52 °C for 45 s, and final extension at 72 °C for 1 min, and ended with a final extension at 72 °C for 5 min. Size distribution of libraries was checked using the capillary electrophoresis in QIAxcel (Qiagen, Germany). Afterwards, libraries were normalised and pooled using the QIAgility system (Qiagen, Germany). Finally, the quality of the library products was assessed and standardised on a Bioanalyzer 2100 (Agilent) using a High Sensitivity DNA Chip. Libraries were sequenced utilising the Illumina MiSeq platform using the 2 × 300 bp paired-end protocol yielding paired-end reads that overlap almost completely. Sequencing was conducted by BaseClear (Leiden, Netherlands). Two negative control samples were used to monitor any contamination during DNA extraction and PCR amplifications, however no quantifiable DNA was detected for further analysis. A single negative control containing 18.2 Ω MilliQ H2O was used during library preparation and sequenced. The obtained .fasta files containing all amplicon sequences including the negative control sample were deposited to NCBI Sequence Read Archive accession number PRJNA602222. We only used samples with more than 5000 reads. Sequence data were processed using the statistical program R v3.6.1 [56], using the DADA2 workflow described in detail by Callahan et al. [57, 58]. Briefly, forward and reverse sequences lacking adaptors and primer sequences were checked for quality, trimmed, and filtered to remove low-quality sequence reads. Quality score cut-off point was determined based on the quality of both forward and reverse sequence reads, maintaining the recommended overlap for merging the sequences. The DADA2 method was utilised for barcoding filtering, de-replication, chimeric identification and removal, and merging pair-end reads. DADA2’s error model automatically filters out singletons, removing them before the subsequent sample inference step. Sample inference was performed using the inferred error model. Afterwards, an amplicon sequence variant (ASV) table was constructed, which is an analogue of the traditional Operational Taxonomic Unit (OTU). A total of 10,425 ASVs was retained after chimera removal. Sequences were then aligned, and ASVs defined at 95% similarity against the curated 18S SILVA v132 database [59]. Any sequences that were not assigned at the phylum level were filtered out of the dataset. Phylogenetic tree was constructed using the inferred ASV table without chimeras. A multiple-alignment was performed using the decipher package [60] in R. Subsequently, the phylogenetic tree was constructed by first building a neighbour-joining tree, and then using this tree as a starting point to fit a GTR + G + I (Generalised time-reversible with Gamma rate variation) maximum likelihood tree using the phangorn [61] package in R.

Statistical analyses of next-generation sequencing dataset

Statistical analyses and graphical representations were performed in R v.3.6.1 [56]. Differences in the algal symbiont community associated with A. lessonii, A. lobifera, and A. radiata specimens collected from different reef sites were analysed using the packages phyloseq [62], vegan [63], and microbiome [64]. For this purpose, only ASVs classified as Ochrophyta, Chlorophyta, Rhodophyta, and Myzozoa, which are known symbionts in LBF [19], were retained in our dataset for further analyses. Our final dataset consisted of 6232 ASVs.

We calculated diversity indices such as Chao 1 [65], which we used to project estimates of taxonomic richness within each specimen (i.e., alpha diversity), and Simpson index that evaluates evenness and richness of a given specimen [66]. Indices were calculated using ASVs. We compared significant differences in diversity indices among species and sites by performing a rank sum Kruskal-Wallis test. Relative abundance was calculated, and only ASVs present in at least 5% summed across all samples were retained to minimise the influence of rare and incidental ASVs for the subsequent analyses. The relative abundance of algal phyla for each species and collection site was calculated, and the average relative abundance of ASVs was calculated and used to generate a heat-map using the package ampvis2 [67]. We then squared-root transformed the abundance data, and analysed the effect of ‘Site’ in the diversity of algal symbiont community for each species individually through a One-way Permutational Multivariate ANOVA (PERMANOVA) using Bray-Curtis resemblance matrices. For the eight sampling sites where A. lobifera and A. lessonii co-occur, we tested differences within and between species and sites using a Two-Way PERMANOVA. For this analysis, we merged ASVs belonging to the same high taxonomic level (i.e., phylum-level) to reduce noise or excess features. ‘Site’ and ‘Species’ were employed as fixed factors. PERMANOVA outcomes were based on 1000 permutations using Type I Sums of Squares, and permutation of residuals under reduced model. PERMANOVAs were performed using the function adonis2 in the vegan package. Homogeneity of multivariate dispersions was confirmed for the fixed factors ‘Site’ and ‘Species’ using the permutational test betadisper in the package vegan, to confirm that PERMANOVA results were not due to differences in group dispersions, but due to differences in algal community. An unconstrained Principal Coordination Analysis (PCoA) was used as a visual representation of the compositional differences among algal communities associated with Amphistegina populations from different collection sites, using the Bray Curtis distance matrix.

DNA barcoding diatom endosymbionts

In addition to the identification of algal symbiont community utilising NGS, we identified the algal endosymbionts of Amphistegina via DNA barcoding utilising a subset of samples. Therefore, a fragment of ~ 480 bp of the 3′ end of the 18S SSU rRNA of algal symbionts was obtained from aliquots of the same DNA extractions using the PHUSION® Hot-start II polymerase (Thermo Fisher Scientific, USA), with the specific algal forward primer SymSF1 (5′-GGTTAATTCCGTTAACGAACGAGA-3′) coupled with the universal eukaryotic reversed primer 1528R (5′-TGATCCTTCTGCAGGTTCACCTAC-3′). Amplification was checked through the migration of the PCR product on a 1% agarose gel stained with SYBR Safe (Thermo Fisher Scientific, USA). PCR products were directly sequenced in both forward and reverse directions in the ABI 3730xl DNA Analyzer (Applied Biosystems, USA) by BaseClear (Leiden, Netherlands). All chromatograms were carefully checked for quality, primers trimmed, de novo assembled, and aligned with MAFFT v.7 [68] with default options in Geneious Prime v2020.0.3. Sequence alignments were imported into PopART [69], and median-joining networks [70] were used for analysis and visualisation of the genetic structure of diatoms between hosts. Finally, within the dataset, identical sequences were identified in ALTER [71] and collapsed into a single haplotype. Subsequently, sequences were blasted on GenBank ( using default settings and top-hit matches used for identification at the order level. Phylogenetic analyses of unique sequences were performed using maximum likelihood under the generalised time reversible substitution model with gamma distribution. In addition to unique sequences identified in our dataset, additional unique sequences of endosymbionts of A. lobifera, A. lessonii, and A. gibbosa published previously [24, 34], as well as a sequence of M. polymorphus covering the same SSU fragment was added as an outgroup (NCBI accession number HQ912568.1). Calculation of bootstrap support values in the resulting unrooted tree was based on 1,000 pseudo-replicates in Geneious Prime v2020.0.3. The resulting tree was visualised with iTOL v4 [72].

Availability of data and materials

Next generation sequencing data can be accessed at NCBI Sequence Read Archive ( with accession number PRJNA602222. DNA barcoding sequencing data can be accessed through NCBI GenBank accession numbers MT792950-MT793017. Other data that support the findings of this study are available as electronic supplementary material within the manuscript.



Larger benthic foraminifera


18S small subunit ribosomal RNA


Polymerase Chain Reaction


Operational Taxonomic Unit


Amplicon sequence variant


One-way Permutational Analysis of Variance


Two-way Permutational Analysis of Variance


Principal Correspondence Analysis


  1. Cowen R. The role of algal symbiosis in reefs through time. Palaios. 1988;3(2):221–7.

    Article  Google Scholar 

  2. Baker AC. Flexibility and specificity in coral-algal symbiosis: diversity, ecology, and biogeography of Symbiodinium. Annu Rev Ecol Evol Syst. 2003;34(1):661–89.

  3. Norris RD. Symbiosis as an evolutionary innovation in the radiation of Paleocene planktic foraminifera. Paleobiology. 1996;22(4):461–80.

    Article  Google Scholar 

  4. Bongaerts P, Frade PR, Ogier JJ, Hay KB, van Bleijswijk J, Englebert N, et al. Sharing the slope: depth partitioning of agariciid corals and associated Symbiodinium across shallow and mesophotic habitats (2-60 m) on a Caribbean reef. BMC Evol Biol. 2013;13(1):205.

  5. Muscatine L, Porter JW. Reef corals - mutualistic symbioses adapted to nutrient-poor environments. Bioscience. 1977;27(7):454–60.

    Article  Google Scholar 

  6. Brown B. Coral bleaching: causes and consequences. Coral Reefs. 1997;16(1):S129–S38.

    Article  Google Scholar 

  7. Chakravarti LJ, van Oppen MJH. Experimental evolution in coral photosymbionts as a tool to increase thermal tolerance. Front Mar Sci. 2018;5:227.

    Article  Google Scholar 

  8. Howells EJ, Beltran VH, Larsen NW, Bay LK, Willis BL, van Oppen MJH. Coral thermal tolerance shaped by local adaptation of photosymbionts. Nat Clim Chang. 2012;2(2):116–20.

    Article  Google Scholar 

  9. Fay SA, Weber MX, Lipps JH. The distribution of Symbiodinium diversity within individual host foraminifera. Coral Reefs. 2009;28(3):717–26.

    Article  Google Scholar 

  10. Mieog JC, Olsen JL, Berkelmans R, Bleuler-Martinez SA, Willis BL, van Oppen MJH. The roles and interactions of symbiont, host and environment in defining coral fitness. Plos One. 2009;4(7):e6364.

  11. Langer MR, Silk MT, Lipps JH. Global Ocean carbonate and carbon dioxide production; the role of reef foraminifera. J Foraminiferal Res. 1997;27(4):271–7.

    Article  Google Scholar 

  12. Leutenegger S. Symbiosis in benthic foraminifera - specificity and host adaptations. J Foramin Res. 1984;14(1):16–35.

    Article  Google Scholar 

  13. Boudagher-Fadel MK. Evolution and geological significance of larger benthic foraminifera. Wignall PB, editor. Amsterdam: Elsevier; 2008.

    Google Scholar 

  14. Lee JJ, Hallock P. Algal symbiosis as the driving force in the evolution of larger Foraminifera. Ann N Y Acad Sci. 1987;503(1):330–47.

  15. Hohenegger J. Depth coenoclines and environmental considerations of western pacific larger foraminifera. J Foramin Res. 2004;34(1):9–33.

    Article  Google Scholar 

  16. Hallock P. Diversification in algal symbiont-bearing foraminifera: a response to oligotrophy? Rev Paléobiol. 1988;2:789–97.

  17. Hallock P. Light dependence in Amphistegina. J Foraminifer Res. 1981;11(1):40–6.

    Article  Google Scholar 

  18. Renema W. Terrestrial influence as a key driver of spatial variability in large benthic foraminiferal assemblage composition in the central indo-Pacific. Earth-Sci Rev. 2018;177:514–44.

    Article  Google Scholar 

  19. Prazeres M, Renema W. Evolutionary significance of the microbial assemblages of large benthic foraminifera. Biol Rev. 2019;94(3):828–48.

    Article  PubMed  Google Scholar 

  20. Barnes KH. Diversity and distribution of diatom endosymbionts in Amphistegina spp. (foraminifera) based on molecular and morphological techniques. St. Petersburg: University of South Florida; 2016.

    Google Scholar 

  21. Pochon X, Garcia-Cuetos L, Baker AC, Castella E, Pawlowski J. One-year survey of a single Micronesian reef reveals extraordinarily rich diversity of Symbiodinium types in soritid foraminifera. Coral Reefs. 2007;26(4):867–82.

  22. Prazeres M, Ainsworth T, Roberts TE, Pandolfi JM, Leggat W. Symbiosis and microbiome flexibility in calcifying benthic foraminifera of the Great Barrier Reef. Microbiome. 2017;5(1):38.

  23. Holzmann M, Berney C, Hohenegger J. Molecular identification of diatom endosymbionts in nummulitid foraminifera. Symbiosis. 2006;42(2):93–101.

    CAS  Google Scholar 

  24. Stuhr M, Meyer A, Reymond CE, Narayan GR, Rieder V, Rahnenfuhrer J, et al. Variable thermal stress tolerance of the reef-associated symbiont-bearing foraminifera Amphistegina linked to differences in symbiont type. Coral Reefs. 2018;37(3):811–24.

  25. Schmidt C, Morard R, Romero O, Kucera M. Diverse internal symbiont community in the endosymbiotic foraminifera Pararotalia calcariformata: implications for symbiont shuffling under thermal stress. Front Microbiol. 2018;9.

  26. Langer MR, Weinmann AE, Lotters S, Bernhard JM, Rodder D. Climate-driven range extension of Amphistegina (Protista, Foraminiferida): models of current and predicted future ranges. PLoS One. 2013;8(2):e54443.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Weinmann AE, Rodder D, Lotters S, Langer MR. Traveling through time: the past, present and future biogeographic range of the invasive foraminifera Amphistegina spp. in the Mediterranean Sea. Mar Micropaleontol. 2013;105:30–9.

  28. Prazeres M, Roberts TE, Pandolfi JM. Shifts in species abundance of large benthic foraminifera Amphistegina: the possible effects of tropical cyclone Ita. Coral Reefs. 2017;36(1):305–9.

  29. Narayan GR, Reymond CE, Stuhr M, Doo S, Schmidt C, Mann T, et al. Response of large benthic foraminifera to climate and local changes: implications for future carbonate production. Sedimentology. 2021.

  30. Lee JJ. Algal symbiosis in larger foraminifera. Symbiosis. 2006;42(2):63–75.

    Google Scholar 

  31. Stuhr M, Cameron LP, Blank-Landeshammer B, Reymond CE, Doo SS, Westphal H, et al. Divergent proteomic responses offer insights into resistant physiological responses of a reef-foraminifera to climate change scenarios. Oceans: Multidisciplinary Digital Publishing Institute; 2021.

    Google Scholar 

  32. Silverstein RN, Correa AMS, Baker AC. Specificity is rarely absolute in coral-algal symbiosis: implications for coral response to climate change. P Roy Soc B-Biol Sci. 2012;279(1738):2609–18.

    Google Scholar 

  33. Prazeres M, Uthicke S, Pandolfi JM. Influence of local habitat on the physiological responses of large benthic foraminifera to temperature and nutrient stress. Sci Rep. 2016;6(1):21936.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Schmidt C, Morard R, Almogi-Labin A, Weinmann AE, Titelboim D, Abramovich S, et al. Recent invasion of the symbiont-bearing foraminifera Pararotalia into the eastern Mediterranean facilitated by the ongoing warming trend. PLoS One. 2015;10(8):e0132917.

  35. Lee JJ. Diatoms as endosymbionts. In: Seckbach J, Kociolek P (editors) The diatom world: Springer, Dordrecht; 2011. p. 437–64.

  36. Lee JJ, McEnergy M, Ter Kuile B, Erez J, Roetger R, Rockwell R, et al. Identification and distribution of endosymbiotic diatoms in larger foraminifera. Micropaleontology. 1989;35(4):353–66.

    Article  Google Scholar 

  37. Akther S, Suzuki J, Pokhrel P, Okada T, Imamura M, Enomoto T, et al. Behavior of eukaryotic symbionts in large benthic foraminifers Calcarina gaudichaudii and Baculogypsina sphaerulata under exposure to wastewater. Environ Pollut. 2020;265(Part A):114971.

  38. Roth MS. The engine of the reef: photobiology of the coral–algal symbiosis. Front Microbiol. 2014;5:422.

  39. van Oppen MJ, Palstra FP, Piquet AM-T, Miller DJ. Patterns of coral–dinoflagellate associations in Acropora: significance of local availability and physiology of Symbiodinium strains and host–symbiont selectivity. Proc R Soc Lond Ser B Biol Sci. 2001;268(1478):1759–67.

  40. Garcia-Cuetos L, Pochon X, Pawlowski J. Molecular evidence for host–symbiont specificity in soritid foraminifera. Protist. 2005;156(4):399–412.

    Article  CAS  PubMed  Google Scholar 

  41. Momigliano P, Uthicke S. Symbiosis in a giant protist (Marginopora vertebralis, Soritinae): flexibility in symbiotic partnerships along a natural temperature gradient. Mar Ecol Prog Ser. 2013;491:33–46.

    Article  Google Scholar 

  42. Lee J, Sang K, Ter Kuile B, Strauss E, Lee P, Faber W. Nutritional and related experiments on laboratory maintenance of three species of symbiont-bearing, large foraminifera. Mar Biol. 1991;109(3):417–25.

    Article  Google Scholar 

  43. Ter Kuile B, Erez J. The size and function of the internal inorganic carbon pool of the foraminifer Amphistegina lobifera. Mar Biol. 1988;99(4):481–7.

  44. Uthicke S, Nobes K. Benthic Foraminifera as ecological indicators for water quality on the Great Barrier Reef. Estuar Coast Shelf Sci. 2008;78(4):763–73.

  45. Schmidt C, Morard R, Prazeres M, Barak H, Kucera M. Retention of high thermal tolerance in the invasive foraminifera Amphistegina lobifera from the eastern Mediterranean and the Gulf of Aqaba. Mar Biol. 2016;163(11):228.

    Article  Google Scholar 

  46. Uthicke S, Altenrath C. Water column nutrients control growth and C: N ratios of symbiont-bearing benthic foraminifera on the Great Barrier Reef, Australia. Limnol Oceanogr. 2010;55(4):1681–96.

    Article  CAS  Google Scholar 

  47. Larsen AR. Phylogentic and paleobiogeographical trends in the foraminiferal genus Amphistegina. Revista Espanola de Micropaleontolgia. 1978;10(2):217–43.

    Google Scholar 

  48. Larsen AR. Studies of recent Amphistegina, taxonomy and some ecological aspects. Israel J Earth Sci. 1976;25(1):1–26.

    Google Scholar 

  49. Manning MM, Gates RD. Diversity in populations of free-living Symbiodinium from a Caribbean and Pacific reef. Limnol Oceanogr. 2008;53(5):1853–61.

  50. Caruso A, Cosentino C. The first colonization of the genus Amphistegina and other exotic benthic foraminifera of the Pelagian Islands and South-Eastern Sicily (Central Mediterranean Sea). Mar Micropaleontol. 2014;111:38–52.

    Article  Google Scholar 

  51. Dunnington D. ggspatial: Spatial Data Framework for ggplot2. R package version 1.1.4; 2020.

    Google Scholar 

  52. South A. rnaturalearthdata: World Vector Map Data from Natural Earth Used in ‘rnaturalearth’. R package version 0.1.0; 2017.

    Google Scholar 

  53. Förderer M, Rodder D, Langer MR. Patterns of species richness and the center of diversity in modern indo-Pacific larger foraminifera. Sci Rep. 2018;8(1):8189.

  54. Hadziavdic K, Lekang K, Lanzen A, Jonassen I, Thompson EM, Troedsson C. Characterization of the 18S rRNA gene for designing universal eukaryote specific primers. PLoS One. 2014;9(2):e87624.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Stoeck T, Bass D, Nebel M, Christen R, Jones MDM, Breiner HW, et al. Multiple marker parallel tag environmental DNA sequencing reveals a highly complex eukaryotic community in marine anoxic water. Mol Ecol. 2010;19:21–31.

    Article  CAS  PubMed  Google Scholar 

  56. Team RC. R: a language and environment for statistical computing. R Foundation for Statistical Computing: Vienna; 2018.

    Google Scholar 

  57. Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJA, Holmes SP. DADA2: high-resolution sample inference from Illumina amplicon data. Nat Methods. 2016;13(7):581–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Callahan BJ, Sankaran K, Fukuyama JA, McMurdie PJ, Holmes SP. Bioconductor workflow for microbiome data analysis: from raw reads to community analyses [version 2; referees: 3 approved]. F1000 Research. 2016;5:1492.

  59. Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, et al. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res. 2013;41(D1):D590–D6.

    Article  CAS  PubMed  Google Scholar 

  60. Wright ES. DECIPHER: harnessing local sequence context to improve protein multiple sequence alignment. BMC Bioinformatics. 2015;16(1):322.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Schliep KP. Phangorn: phylogenetic analysis in R. Bioinformatics. 2011;27(4):592–3.

    Article  CAS  PubMed  Google Scholar 

  62. McMurdie PJ, Holmes S. phyloseq: An R package for reproducible interactive analysis and graphics of microbiome census data. Plos One. 2013;8(4):e61217.

  63. Oksanen J, Blanchet FG, Friendly M, Kindt R, Legendre P, McGlinn D, et al. vegan: Community Ecology Package. R package version 2.5–1. 2017.

    Google Scholar 

  64. Lahti L, Shetty S, Blake T, Salojarvi J. Tools for microbiome analysis in R. Version 1.1.10012; 2017.

    Google Scholar 

  65. Chao A. Nonparametric estimation of the number of classes in a population. Scand J Stat. 1984;11(4):265–70.

  66. Simpson EH. Measurement of diversity. Nature. 1949;163(4148):688.

    Article  Google Scholar 

  67. Andersen KS, Kirkegaard RH, Karst SM, Albertsen M. ampvis2: an R package to analyse and visualise 16S rRNA amplicon data. bioRxiv; 2018.

    Google Scholar 

  68. Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol. 2013;30(4):772–80.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  69. Leigh JW, Bryant D. POPART: full-feature software for haplotype network construction. Methods Ecol Evol. 2015;6(9):1110–6.

    Article  Google Scholar 

  70. Bandelt H-J, Forster P, Röhl A. Median-joining networks for inferring intraspecific phylogenies. Mol Biol Evol. 1999;16(1):37–48.

    Article  CAS  PubMed  Google Scholar 

  71. Glez-Peña D, Gómez-Blanco D, Reboiro-Jato M, Fdez-Riverola F, Posada D. ALTER: program-oriented format conversion of DNA and protein alignments. Nucleic Acids Res. 2010;38(suppl_2):W14–W8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  72. Letunic I, Bork P. Interactive tree of life (iTOL) v4: recent updates and new developments. Nucleic Acids Res. 2019;47(W1):W256–W9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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We would like to thank Dr. Sonia Rowley for assisting with samples collection in Hawai’i, which was conducted under the Special Activity permit #2019-22 issue to MP. Collection in Mauritius were conducted in partnership with Ms. Rohinee Bhiwajee and Mr. Arnoud Nicolas from the Mauritius Oceanography Institute, under the permission of the Department for Continental Shelf, Maritime Zones Administration and Exploration of the Republic of Mauritius. Samples from Indonesia were collected under the collection permit issue to WR. Prof. Pamela Hallock for kindly providing samples from the Maldives. We acknowledge Amatzia Genin at the Interuniversity Institute of Marine Science (IUI) and Claire E. Reymond for supporting sampling in Eilat, and thank Gita R. Narayan for sampling efforts in Zanzibar, where foraminifera were collected under the Revolutionary Government of Zanzibar 434 (S.M.Z.) Research Permit No. 0671. Samples from Okinawa, Japan, were collected during a short-term fellowship financed through the Japan Society of the Promotion of Science to CS in the laboratory of Prof. Kazuhiko Fujita, from the University of the Ryukyus, who provided field work support.


This research was financially supported by the Dutch Research Council (NWO), which provided funding through the Innovational Research Incentives Schemes Veni to MP. The Treub-Maastchappij for providing funding to MP to conduct field work in the Republic of Mauritius.

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MP designed the study. MP, TER, SSD, MS, CS, and WR provided the samples. MP and SFR processed the samples. MP, SFR, and TER analysed and interpreted the data. MP wrote the first draft of the manuscript, and all authors contributed substantially to revisions. The author(s) read and approved the final manuscript.

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Correspondence to Martina Prazeres.

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Supplementary Information

Additional file 1.

Summary of diversity indices (Chao 1 and Simpson) of ASVs for all specimens analysed.

Additional file 2.

Raw read counts and taxonomy of ASVs identified for all specimens.

Additional file 3.

Sequence of diatoms identified using Sanger sequencing (primer set SymSF1-1528R) that were utilised to generate figures 5 and 6.

Additional file 4

: Supplementary Fig. S1. Heatmap of relative abundance of ASVs grouped by phylum for each species collected from different sites. Scale was log-10 transformed. Supplementary Fig. S2. Two-dimensional plots of Principal Coordinates Analysis utilising Bray Curtis distance matrix showing differences in algal symbiont community in A. lobifera collected from different sites. Supplementary Fig. S3. Two-dimensional plots of Principal Coordinates Analysis utilising Bray Curtis distance matrix showing differences in algal symbiont community in A. lessonii collected from different sites. Supplementary Fig. S4. Two-dimensional plots of Principal Coordinates Analysis utilising Bray Curtis distance matrix showing differences in algal symbiont community in A. radiata collected from different sites.

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Prazeres, M., Roberts, T.E., Ramadhani, S.F. et al. Diversity and flexibility of algal symbiont community in globally distributed larger benthic foraminifera of the genus Amphistegina. BMC Microbiol 21, 243 (2021).

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