Abstract
Population irruptions of crown-of-thorns starfish (COTS) cause extensive degradation of coral reefs, threatening the structure and function of these important ecosystems. For population irruptions to initiate and spread, large numbers of planktonic larvae have to successfully transition into their benthic life-history stage (i.e. settlement), whereby larval behaviour and the presence of settlement cues may shape spatial patterns of recruitment and adult densities. Our results demonstrate that a wide range of coralline algae species induce COTS larvae to settle; however, the capacity to promote settlement success varied manyfold among algal species, ranging from greater than 90% in Melyvonnea cf. madagascariensis to less than 2% in Lithophyllum cf. kotschyanum and two Porolithon species at 24 h. Because many coralline algae species that promote high settlement success are prevalent in shallow reef habitats, our findings challenge the hypothesis that COTS larvae predominantly settle in deep water. Considering both larval behaviour and algal ecology, this study highlights the ecological significance of coralline algae communities in driving recruitment patterns of COTS. More specifically, the local abundance of highly inductive coralline algae (especially, Melyvonnea cf. madagascariensis) may explain some of the marked spatial heterogeneity of COTS populations and the incidence of population irruptions.
Keywords: coralline algae, Acanthaster, population outbreaks, larval settlement, metamorphosis, recruitment
1. Introduction
Environmental cues play pivotal roles in the regulation of animal life histories, particularly in the timing and completion of major life-history transitions [1,2]. Response mechanisms to environmental cues permit animals to orchestrate these transitions and optimize survival at transition points which are characterized by high mortality [3,4]. For many animals with complex life cycles, survival rates are particularly low at ontogenetic boundaries between early life-history stages [3,5,6]. Consequently, the presence of apt environmental cues, combined with the capability of animals to respond to them during early ontogeny, can drastically change the dynamics of populations [7–9].
The transition from larval to juvenile stages, which in most animals includes some form of metamorphosis [10–12], is largely governed by environmental cues [13]. Groups of insects, fishes, amphibians and marine invertebrates have evolved neural and hormonal mechanisms translating abiotic and biotic cues to navigate this inherently vulnerable phase [14–16]. Most benthic marine invertebrates display bipartite life histories with a highly specialized larval settlement stage [17]. This irreversible planktonic–benthic transition (i.e. settlement) can be a major population bottleneck [18,19]. However, response to environmental inputs (e.g. chemical cues associated with conspecifics or benthic substrata) may result in the settlement of larvae in locations that confer higher likelihood of survival and recruitment [20–22]. The larval decision of where and when to settle is thus of fundamental importance.
Population irruptions of crown-of-thorns starfish (Acanthaster spp., COTS) remain a significant driver of coral loss and reef degradation [23], which are increasingly compounded by climatic disturbance [24,25]. For population irruptions to occur and spread among coral reefs, large numbers of planktonic larvae must successfully transition into the benthic juvenile stage [26,27]. In contrast with other echinoderm larvae that metamorphose during their planktonic stage [22], COTS metamorphosis is initiated after substratum contact [26]. Because of exceptionally high mortality rates in early juvenile COTS [28,29] and limited adult movement behaviour [30,31], settlement rates are likely to be the foremost constraint on local abundance and the incidence of population irruptions [32–34]. Larval settlement of COTS in the wild is presumably induced by coralline algae and their associated microbial communities [35]; however, it is unclear whether all or only some coralline algae have the capacity to induce high settlement rates [23]. The alga Lithothamnion cf. proliferum was so far surmised to be the predominant settlement cue, which gave rise to the hypothesis that COTS mostly settle in deep, inter-reef habitats [36]. Recent advances in the taxonomy and contrasting ecology of different coralline algae species do, however, necessitate a renewed exploration of settlement induction.
Here, we assess the relative capacity of a diversity of coralline algae to induce COTS settlement in order to test the hypothesis that the alga Lithothamnion cf. proliferum promotes higher settlement rates than the other species. Notably, this research facilitates a critical evaluation of the deep-water recruitment hypothesis [36] by considering whether other algal species that play important roles in COTS settlement induction occur in deep and/or shallow reef habitats. The integration of larger-scale algal field-distribution data in the interpretation of our experimental results further enables us to better understand the ecological consequences of coralline algae assemblages for the recruitment patterns and ecological impact of this nuisance starfish.
2. Materials and methods
To obtain settlement-stage western Pacific COTS (Acanthaster cf. solaris) for experimental assays, we reared larvae at the Australian Institute of Marine Science (AIMS) National Sea Simulator (electronic supplementary material, §S1), following Uthicke et al. [37]. Larval development was microscopically examined until we determined metamorphic competency 14 days post-fertilization. Experimental treatments included 14 living coralline algae species and one living Peyssonneliaceae alga (collectively referred to as coralline algae in this study; table 1) with relatively high abundance on Australia's Great Barrier Reef (GBR), and structural control (sterile aragonite) and filtered seawater (FSW) control treatments. A diversity of coralline algae were collected from two central GBR locations (electronic supplementary material, §S2), identified based on morpho-anatomical features (electronic supplementary material, §S2) and molecular sequencing (electronic supplementary material, §S3, §S4, following [40]), and cut into replicate 5 × 5 mm live chips for use in experiments.
Table 1.
Ecological information on the 15 coralline algae species analysed in settlement assays. Relative abundance along the GBR shelf is categorized as rare (less than 20%), moderate (20–70%) and common (greater than 70%), largely calculated based on total abundance data reported in Dean et al. [38] (e.g. species abundance in ‘outer’ reefs divided by the species abundance across all three shelf positions). Taxonomic, morpho-anatomical and collection information are provided in the electronic supplementary material (§S2).
| species | habitat | irradiance level | relative abundance (GBR shelf) |
source (GBR abundance) | ||
|---|---|---|---|---|---|---|
| inner | mid | outer | ||||
| Melyvonnea cf. madagascariensis | shallow - deep reef | low - mid | rare | common | rare | [38] |
| Neogoniolithon fosliei | crest, shallow reef | high | rare | rare | common | [38] |
| Adeylithon bosencei | shallow - deep reef | low - high | rare | rare | common | [39], G.D.-P. pers. obs. |
| Hydrolithon cf. reinboldii | shallow - deep reef | mid | moderate | rare | moderate | [38] |
| Lithophyllum cf. insipidum | crest, shallow reef | mid - high | rare | moderate | moderate | [38] |
| Lithothamnion cf. proliferum | crevices, caves | low | rare | common | rare | [38] |
| Titanoderma cf. tessellatum | shallow - deep reef | low - mid | rare | moderate | moderate | [38] |
| Amphiroa foliacea | shallow - mid reef | mid - high | rare | moderate | moderate | G.D.-P. pers. obs. |
| Sporolithon sp. | crevices, caves | low | rare | rare | common | [38] |
| Ramicrusta sp. | crevices, caves | low | rare | moderate | moderate | G.D.-P. pers. obs. |
| Lithophyllum cf. pygmaeum | crest, shallow reef | mid - high | rare | moderate | moderate | [38] |
| Porolithon sp. A | reef crest | high | common | rare | rare | G.D.-P. pers. obs. |
| Porolithon sp. B | reef crest | high | rare | moderate | moderate | [38] |
| Lithophyllum cf. kotschyanum | reef crest | mid - high | rare | moderate | moderate | [38] |
| Porolithon sp. C | reef crest | high | rare | moderate | moderate | [38] |
To test the effects of different coralline algae species on the settlement response of competent COTS larvae, 12 replicate settlement assays were conducted for each of the 17 experimental treatments. We used six-well cell culture plates and fully randomized the distribution of all replicate assays among the 204 wells. After adding 10 ml FSW and a single chip of one of 15 different algal species or sterile aragonite to the wells, we carefully introduced approximately 10 competent COTS larvae per well using glass pipettes. All well plates were kept in a temperature-controlled room (28°C) matching the light conditions during larval rearing (12 L : 12 D, light–dark). Using stereo microscopes, larval settlement was scored 24 and 48 h after larvae were introduced. For each replicate well, we recorded the number of competent late-brachiolaria larvae remaining in the water column (= swimming) and the number of individuals that had successfully attached to the treatment chip or well bottom and commenced or completed metamorphic transformation into a juvenile with radial symmetry (= settled, figure 1).
Figure 1.
Larval development through metamorphosis in crown-of-thorns starfish: (a) brachiolaria larva; (b) metamorphosing larva absorbing the larval body; (c) post-metamorphic juvenile (photographs by Ciemon Caballes and Peter Doll).
Statistical analyses were performed using R software (v. 4.1.3. [41]). To compare the responses of COTS larvae to coralline algae and control treatments, we considered the proportion of settled postlarvae and swimming larvae in each assay well. The effects of treatments and time (24, 48 h) on this proportional data frame were modelled using a binomial generalized linear model with a logit link (stats package [41]). This model was fitted with the bias-reduction method brglmFit [42,43] from the brglm2 package [44] to avoid data separation due to outcomes with only zeros in the control treatments. Model assumptions were evaluated based on inspection of diagnostic plots and figures were generated using the ggplot2 package [45]. We calculated estimated marginal means, confidence intervals and post hoc comparisons using the emmeans package [46] and the cld function from the multcomp package [47]. To account for multiple comparisons and control for the false discovery rate, p-values (alpha = 0.05) were adjusted using the BY correction method following the Benjamini–Yekutieli procedure [48].
3. Results
While larval settlement was induced in all coralline algae treatments (table 1, figure 2a), no larvae settled in both controls and settlement success differed substantially among the 17 treatments (figure 2a, F16,391 = 7.97, p < 0.001). Highest settlement rates (mean ± s.e.: 90.7% ± 2.9 at 24 h; 98.3% ± 1.1 at 48 h) were recorded in the presence of Melyvonnea cf. madagascariensis, while limited settlement was recorded (less than 2% at 24 h; <10% at 48 h) for two Porolithon species and Lithophyllum cf. kotschyanum. Settlement rates were relatively high (30–60% at 24 h) for seven coralline algae treatments, with an evident hierarchy in larval settlement responses to cues associated with different coralline species (figure 2a). Settlement rates differed significantly between scoring times (F1,390 = 62.97, p < 0.001), although there was no interaction with treatments (figure 2b, F16,374 = 0.52, p = 0.939), reflecting consistent differences in settlement rates among different algal species.
Figure 2.
(a) Settlement cue responses of crown-of-thorns starfish larvae to 15 coralline algae species at 24 and 48 h (means ± s.e., n = 12). Letters denote statistical differences among treatments, with treatment means not sharing any letter being significantly different (Benjamini–Yekutieli-adjusted p < 0.05). (b) Differences between the mean settlement rates at 24 and 48 h after experiment commencement. FSW = filtered seawater.
4. Discussion
Settlement cues and inducers are critically important in regulating the abundance of many different benthic marine invertebrates [21], yet there is very limited understanding of the factors that influence settlement rates of COTS [23]. Our results demonstrate that a wide range of crustose and articulated (geniculate) coralline algae induce COTS settlement, though there were marked differences in settlement rates associated with different algal species. Although it remains to be resolved whether such differences are driven by algal compounds and/or associated microbial communities (but see [35]), this study corroborates the role of chemical cues in governing benthic habitat selection by planktonic COTS larvae. Similar to other echinoderm groups [22], COTS larvae display active searching and testing behaviour [49,50] to detect chemical cues that presumably signal the presence of preferred early-juvenile food (i.e. coralline algae [51,52]) or the absence of toxic surfaces and coral polyps that can injure juveniles [53]. Physical microhabitat characteristics (electronic supplementary material, §S2) and the irradiance conditions that algal species occur in (table 1) do not appear to be primary factors in COTS settlement induction; however, in the presence of a suitable settlement cue, larvae likely select low-light microhabitats within the reef matrix for shelter during metamorphosis [54].
Importantly, our results indicate that COTS larvae do not require cues associated with the coralline alga Lithothamnion cf. proliferum or other deep-water species for settlement induction. Many algal species that are prevalent at moderate and shallow depths (table 1) induced high rates of settlement in this study, including species that primarily occur in shallow reef environments (e.g. Neogoniolithon fosliei and Adeylithon bosencei). Most notably, the alga Melyvonnea cf. madagascariensis, which is widely distributed across the depth continuum, promoted considerably higher settlement success than Lithothamnion cf. proliferum (likely Lithothamnium pseudosorum in [36]). In part because the latter species was previously considered to be the gold standard for COTS settlement induction [35,36] and assumed to be relatively rare at moderate and shallow depths [36], the deep-water recruitment hypothesis proposed that COTS larvae predominantly settle in deep (greater than 30 m), inter-reef habitats [36]. However, this species can be abundant in crevices, caves and overhangs in shallow water (G.D.-P., pers. obs.). Our findings further challenge this hypothesis by demonstrating a shallow-water prevalence of suitable settlement cues, which is supported by recorded settlement [34] and newly settled juveniles [55] at a range of shallow to intermediate depths (1–18 m).
Apparent selectivity for particular coralline algae by settling COTS larvae has potential importance for understanding population dynamics, because settlement delay and settlement in adverse environments can negatively impact recruitment success [17,56]. Marine invertebrate larvae with a specialized settlement stage generally respond to environmental cues to maximize recruitment rates [20], but limited plasticity in settlement behaviour and narrow habitat requirements imply dependence on encountering suitable habitat at small spatio-temporal scales. There is laboratory-based evidence that COTS larvae can extend their competency periods in the absence of environmental cues [57], and our results show that some larvae temporarily defer settlement even in the presence of settlement cues. However, delayed settlement will increase exposure to predators [58,59] and can reduce growth and subsequent survival in early juveniles [17,56]. Specificity in substratum selection may decrease during the competency period and larvae are more likely to eventually settle in adverse environments [60], increasing susceptibility of juveniles to benthic predation [33,61] and starvation [33,62]. Elevated mortality rates before and after settlement may consequently limit recruitment success in habitats with limited settlement cues.
More specifically, the availability of suitable settlement habitat may play a critical role in explaining inter-reef differences in the abundance of COTS and the incidence of population irruptions. Our findings indicate that specific algal species (e.g. Melyvonnea cf. madagascariensis) may be particularly important for promoting or regulating natural settlement rates of COTS. Population irruptions degrading the GBR predominantly occur on reefs in the mid-section of the continental shelf [63], raising questions pertaining to potential drivers of low adult densities on inshore reefs [23]. Limited inter-reef connectivity may constrain larval supply in some locations, yet many inshore reefs have been highlighted as significant larval sinks [64], pre-disposing them to COTS infestations. Food limitation of planktotrophic larvae is also unlikely to disproportionately inhibit recruitment on inshore reefs given the relatively high concentrations of large phytoplankton in these locations [65]. Instead, the low overall abundance of coralline substrata on inshore reefs [38,66,67] likely contributes to reduced settlement success in these locations. Moreover, the coralline algae species inducing relatively high settlement rates in this study, except Hydrolithon cf. reinboldii, are absent or relatively rare in most inshore reefs (table 1, [38,39,68]. We hypothesize, therefore, that low abundance of coralline algae, particularly of species promoting high settlement rates, poses a significant constraint for COTS recruitment on many inshore reefs. However, in situ studies of settlement rates and coralline algae assemblages across this shelf gradient are required to substantiate this hypothesis. Notably, the combination of limited larval supply and scarcity of suitable settlement habitat would greatly reduce localized risk of COTS population irruptions and associated coral loss.
In the face of ever-increasing threats to coral reefs, it appears essential to consider all mechanisms that determine recruitment success in this keystone coral predator, both from a theoretical (e.g. life-history theory) and applied perspective (e.g. population control). While previously overlooked in the discussion of factors contributing to the incidence of COTS population irruptions, larval settlement behaviour and settlement cue availability emerge as factors capable of explaining some of the marked spatial heterogeneity in recruitment and adult population sizes.
Acknowledgements
We thank all AIMS staff who took part in field collections and experiment preparation, especially Sophie Ferguson, Frances Patel, K-Le Gomez Cabrera, Guy McCutchan and Lee Bastin. We acknowledge the Traditional Owners of the Great Barrier Reef area and their continuing connection to their land and sea country.
Ethics
This research was conducted in accordance with Australian laws and ethics guidelines, and collections were approved by the Great Barrier Reef Marine Park Authority (permit no. G21/45348.1).
Data accessibility
The molecular sequences for each algal species can be accessed in the GenBank database under accession numbers OP830444 to OP830473 (electronic supplementary material, §S4, [69]), and the experimental assay data and description are available from the Dryad Digital Repository: https://doi.org/10.5061/dryad.gqnk98srv [70].
Data are provided in the electronic supplementary material [71].
Authors' contributions
P.C.D.: conceptualization, data curation, formal analysis, investigation, methodology, validation, visualization, writing—original draft and writing—review and editing; S.U.: conceptualization, funding acquisition, investigation, methodology, resources and writing—review and editing; C.F.C.: conceptualization, investigation, methodology, resources and writing—review and editing; G.D.-P.: conceptualization, data curation, funding acquisition, investigation, resources and writing—review and editing; M.A.A.W.: conceptualization, data curation, funding acquisition, investigation, resources and writing—review and editing; B.J.L.: formal analysis and writing—review and editing; S.Y.J.: data curation, funding acquisition, investigation, methodology and writing—review and editing; M.S.P.: conceptualization, funding acquisition, resources and writing—review and editing.
All authors gave final approval for publication and agreed to be held accountable for the work performed therein.
Conflict of interest declaration
We declare we have no competing interests.
Funding
This research was supported by the Australian Biological Resources Study (ABRS) National Taxonomy Research Grant Program (NTRGP; grant no. RG19-35), the Australian Institute of Marine Science, the Reef Restoration and Adaptation Program (CAD1-1) and the Australian Research Council's Centre of Excellence Funding (grant no. CE140100020).
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Citations
- Doll PC, Uthicke S, Caballes CF, Diaz-Pulido G, Abdul Wahab MA, Lang BJ, Jeong SY, Pratchett MS. 2023. psbA and RbcL GenBank Accession numbers for coralline algae species identification. National Center for Biotechnology Information (NCBI). See https://www.ncbi.nlm.nih.gov/genbank/. [DOI] [PMC free article] [PubMed]
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Data Availability Statement
The molecular sequences for each algal species can be accessed in the GenBank database under accession numbers OP830444 to OP830473 (electronic supplementary material, §S4, [69]), and the experimental assay data and description are available from the Dryad Digital Repository: https://doi.org/10.5061/dryad.gqnk98srv [70].
Data are provided in the electronic supplementary material [71].


