Skip to main content

ORIGINAL RESEARCH article

Front. Microbiol., 14 July 2020
Sec. Aquatic Microbiology

Microbiome Shifts Associated With the Introduction of Wild Atlantic Horseshoe Crabs (Limulus polyphemus) Into a Touch-Tank Exhibit

\r\nAriel D. Friel&#x;Ariel D. Friel1†Sean A. Neiswenter*&#x;Sean A. Neiswenter1*†Cale O. SeymourCale O. Seymour1Lauren Rose BaliLauren Rose Bali1Ginger McNamaraGinger McNamara1Fabian LeijaFabian Leija1Jack JewellJack Jewell2Brian P. Hedlund,*Brian P. Hedlund1,3*
  • 1School of Life Sciences, University of Nevada, Las Vegas, NV, United States
  • 2Shark Reef Aquarium at Mandalay Bay, Las Vegas, NV, United States
  • 3Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas, NV, United States

The Atlantic horseshoe crab (Limulus polyphemus) is a common marine aquarium species and model organism for research. There is potential monetary and conservation value in developing a stable captive population of horseshoe crabs, however, one major impediment to achieving captivity is a lack of knowledge regarding captive diseases. We utilized 16S rRNA gene amplicon sequencing to track changes in the microbiomes of four body locations in three wild-caught (tracked over 14 months in captivity) and three tank-acclimated (>2 years in captivity) adult L. polyphemus in a touch tank at Shark Reef Aquarium at Mandalay Bay in Las Vegas, NV. The wild population hosted diverse and distinct microbiomes on the carapace (260 ± 96 amplicon sequence variants or ASVs), cloaca (345 ± 77 ASVs), gills (309 ± 36 ASVs), and oral cavity (359 ± 37 ASVs), which were dominated by classes Gammaproteobacteria, Bacteroidia, and Alphaproteobacteria. A rapid decline in richness across all body locations was observed within 1 month of captivity, with tank-acclimated (>2 years) animals having <5% of the initial microbiome richness and a nearly completely restructured microbial community. Tank-acclimated horseshoe crabs possessed distinct microbiomes that were highly uneven and low in species richness on the carapace (31 ± 7 ASVs), cloaca (53 ± 19 ASVs), gills (17 ± 2 ASVs), and oral cavity (31 ± 13 ASVs). The carapace, oral cavity, and gills of the tank-acclimated animals hosted abundant populations of Aeromonas (>60%) and Pseudomonas (>20%), both of which are known opportunistic pathogens of aquatic animals and can express chitinases, providing a plausible mechanism for the development of the carapace lesion pathology observed in this and other studies. The cloaca of the tank-acclimated animals was slightly more diverse than the other body locations with Aeromonas, Enterococcus, Shewanella, and Vagococcus dominating the community. These results provide an important baseline on the microbiomes of both wild and tank-acclimated horseshoe crabs and underscore the need to continue to investigate how native microbial populations may protect animals from pathogens.

Introduction

Perhaps the most challenging environmental change an organism can experience is when a wild individual is taken from a natural setting and held in captivity under artificial conditions as is the case in a laboratory, the pet trade, the food industry, or zoos and aquaria. Replicating the natural environment is nearly impossible under artificial conditions and depending on the circumstances it may be necessary or more convenient to modify conditions, such as temperature or salinity, from those an organism would experience in the wild. Additionally, although some conditions might be controlled to limit variability under captive conditions, other variables might cycle or build up to unnatural levels in captivity, such as the case with dissolved nitrogen in aquaculture (Hargreaves, 1998). In captivity, an organism may also be exposed to population densities and different species they would never encounter in natural settings, fostering novel biotic interactions (Morgan and Tromborg, 2007). This can be particularly pronounced for aquatic organisms, such as in aquaculture or large aquaria, where high densities of a variety of host species share the same tank or have a common source of filtered water. In such artificial systems stress can lead to microbiome dysbiosis and infections by obligate or opportunistic pathogens (Llewellyn et al., 2014).

Limulus polyphemus, the Atlantic horseshoe crab, is one of four species in the order Xiphosurida and the only species in North America. Horseshoe crabs have a deep evolutionary history dating over 400 mya to at least the Ordovician (Rudkin and Young, 2009). Contrary to what their common name implies, horseshoe crabs are not crustaceans, but represent a highly divergent lineage that is more closely related to sea spiders and other arachnids than crabs (Ballesteros and Sharma, 2019). L. polyphemus is widespread along the continental shelf of North America’s east coast and occupies a broad range of temperature and salinity (Sekiguchi and Shuster, 2009). Adults are strictly benthic and burrow through sediments to feed on polychaetes, bivalves, and other benthic fauna (Botton, 1984, 2009). Given their deep evolutionarily history (Kin and Blażjowski, 2014) and highly variable ecology it is likely that horseshoe crabs harbor a unique and diverse microbiome.

Limulus polyphemus have considerable value both commercially and ecologically. The pharmaceutical industry utilizes their blood to produce Limulus amebocyte lysate, which is used to detect endotoxins and for bait by the commercial eel industry. L. polyphemus can also serve as a model organism for a variety of research topics, including embryology and vision research (Liu and Passaglia, 2009; Williams, 2019). Additionally, millions of migratory birds refuel on their eggs each spring at spawning sites (Niles et al., 2009). As a highly unusual and non-threatening organism, they are also used to garner interest and educate the general public through interactive exhibits at aquaria.

Due to multifaceted threats, horseshoe crab populations have been in decline (Smith et al., 2017). There is a potential utility to multiple stakeholders in the maintenance of captive populations (Carmichael and Brush, 2012). However, very little is known of the microbial communities of either healthy or diseased horseshoe crabs. A common affliction of wild and captive horseshoe crabs is shell disease, which presents itself as carapace discoloration or the development of lesions in the carapace (Bullis, 1994; Nolan and Smith, 2009). These lesions have been associated with a variety of microorganisms including heterotrophic bacteria (e.g., Thompson et al., 2011), Cyanobacteria (Leibovitz, 1986), fungi (Tuxbury et al., 2014), and green algae (Braverman et al., 2012). A study focusing on two species of wild, adult Asian horseshoe crabs, Tachypleus gigas and Carcinoscorpius rotundicauda, isolated bacteria from the gills and mouth, which were identified as members of the genera Pseudoalteromonas, Vibrio, and Photobacterium (Ismail et al., 2015). However, no systematic studies have explored the microbiomes of wild or captive adult horseshoe crabs using cultivation-independent techniques.

The main objective of this study was to document the microbiomes of wild, adult horseshoe crabs at several body locations and track shifts in their microbiomes associated with captivity. We further extended the study by examining the same body locations on several long-term captive animals (>2 years) from the same tank that displayed symptoms of shell disease. From this, we hoped to identify possible symbionts or commensals of a wild horseshoe crab microflora as well as potential pathogens that develop ex situ. Our study revealed highly diverse microbial communities in the carapace, cloaca, gills, and oral cavity of wild animals and documented a rapid and steep decline in microbial richness and near-complete restructuring of the microbial community following captivation. The opportunistic pathogens Aeromonas (>60%) and Pseudomonas (>20%) together comprised >80% of the microbiomes of animals acclimated to the aquarium for over 2 years. In contrast, the cloaca of the tank-acclimated animals was distinct and more diverse, with abundant populations of Aeromonas, Shewanella, Vagococcus, and Enterococcus. This study forms a baseline for both wild and captive adult horseshoe crabs and provides a timeline and body atlas to track microbiome shifts associated with captivity. Potential mechanisms for maintenance of wild and diverse microbiota, and their potential importance in health, are discussed herein.

Materials and Methods

Sampling and Experimental Design

Three wild animals and native sediments were collected from the wild and dry-shipped overnight by Dynasty Marine (Marathon, FL, United States). Upon receipt, the carapace, book gills, oral cavity, and cloaca were sampled with sterile swabs. The naïve individuals were then uniquely identified by attaching a PIT tag to the underside of their carapace with epoxy and introduced into the public touch-tank exhibit at the Shark Reef Aquarium at Mandalay Bay Resort and Casino in Las Vegas, Nevada. The native sediment was initially collected using a sterile collection cup and subsampled for DNA extraction upon receipt. At 1, 9, and 14 months following introduction to the touch tank, the same animals were sampled at the same four locations using the same protocol as described above. One wild-caught animal’s cloaca sample was not collected at the 1-month time point. Prior to introducing the naïve individuals into the touch tank, the substrate at the bottom of the tank and three tank-acclimated horseshoe crabs (>2 years in captivity) were sampled at the same body locations and using the same protocol to establish a baseline of the microbial community already present. Swabs and the substrate sample were immediately taken to the lab for DNA isolation, described below. Due to a laboratory error during DNA isolation, one tank-acclimated horseshoe crab’s gill sample was not further processed. A table containing relevant information about each sample has been included in Supplementary Table S1.

Captive Conditions

Captive horseshoe crabs were maintained in the public touch-tank exhibit at the Shark Reef Aquarium at Mandalay Bay Resort and Casino (Las Vegas, NV, United States) during the study. The tank is 2,500 gallons with a water depth of 34 and 4 cm of fine aragonite sand for substrate. The water is held at 23°C, pH 8.1, and a salinity of 33 ppt using Instant Ocean (Blacksburg, VA, United States). The light cycle is 16 h of dim indirect ambient lighting similar to dusk conditions and 8 h of dark. Filtration includes pressure sand-filters, foam fractionator, and a trickle de-gassing bio-filter with twice weekly filter backwashes and 10% water changes. Horseshoe crabs are fed a combination of earthworms, clams, Superba krill, and oysters 6 days per week. Any uneaten food is immediately removed from the tank. Up to nine individual horseshoe crabs occupied the tank during the present study. Other species that share the tank include coral catsharks, Atelomycterus marmoratus, and several genera of rays such as Neotrygon, Glaucostegus, Urobatis, and Trygonorrhina. Photos demonstrating the extent of lesion development in horseshoe crabs from the touch-tank exhibit have been included in the supplement; these do not depict the exact crabs sampled in this study but are representative of the diseased state of the captive horseshoe crabs (Supplementary Figure S1).

16S rRNA Gene Amplicon Sequencing

DNA was extracted from horseshoe crab samples taken using sterile swabs and substrate samples (all stored at -80°C) using the FastDNA SPIN Kit for Soil (MP Biomedicals, Santa Ana, CA, United States) according to manufacturer’s instructions. For both the native and Shark Reef substrate samples, 500 mg of sediment was subsampled from their respective sterile collection cups for the DNA extraction. The V4 region of the 16S rRNA gene was amplified and sequenced using the updated Earth Microbiome Project (EMP) bacterial- and archaeal-specific 515F/806R primer set (Apprill et al., 2015; Parada et al., 2016; Thompson et al., 2017). Amplification, library preparation, and paired-end sequencing were performed at Argonne National Laboratory (Lemont, IL, United States) on an Illumina MiSeq platform (2 × 151 bp) following the standard EMP protocol1.

Sequence Processing, Quality Control, and Data

Paired-end Illumina MiSeq reads were quality filtered, aligned, and assigned to amplicon sequence variants (ASVs) using DADA2 (Callahan et al., 2016) via Qiime2 version 2019.1 (Caporaso et al., 2010; Bolyen et al., 2019). ASVs were classified in Qiime2 using a naïve-Bayesian classifier (Bokulich et al., 2018) trained on the V4 region of the Silva NR99 132 alignment (Pruesse et al., 2007). Any sequences classified as chloroplast or mitochondria as well as those unclassified at the domain level were removed from the analysis.

Microbial Community Data Analysis

ASVs and Silva-based taxonomy were exported from Qiime2 to be analyzed using R. ASV counts were normalized to account for variable sequencing depth between samples. Alpha diversity indices (Faith’s PD, Observed, Shannon, and InvSimpson) were calculated using R packages phyloseq version 1.28.0 (McMurdie and Holmes, 2013) and picante version 1.8 (Kembel et al., 2010) from ASV counts rarified to an even depth of 2005 SVs. All other analyses used ASV counts scaled to counts-per-million (cpm). The phylogenetic tree used to calculate UniFrac and Faith’s PD diversity metrics was generated using FastTree (Price et al., 2009, 2010) in Qiime2 with the developer-recommended settings. Between-sample dissimilarity was calculated using the Bray-Curtis algorithm implemented in R package vegan version 2.5-6 (Dixon, 2003). Ordination was performed using non-metric multidimensional scaling (NMDS) via the R packages phyloseq and vegan. ASVs were agglomerated at the family-level using the tax_glom function from phyloseq and regressed against each distance matrix using the envfit function of vegan. Taxonomic vectors representing the bacterial and archaeal families that were significantly (p < 0.05) correlated with community dissimilarity between samples, as determined by envfit, were displayed on the NMDS plot.

To analyze the similarity in ASV composition over time in captivity, the community matrix was first separated by body location. Then within each body location grouping, the number of ASVs unique to a time point and shared among the time points was calculated and plotted on a Venn diagram using a custom R script (github repository hedlundb/LP16S). To further understand which specific ASVs were changing over time in captivity, differential abundance analysis was conducted using DESeq2 version 1.24.0 (Love et al., 2014). Differentially abundant ASVs of p < 0.01 and p < 0.05 were aligned using the SINA alignment tool (Pruesse et al., 2012). A phylogenetic tree was constructed from these using IQ-Tree 1.6.7.a (Minh et al., 2013; Nguyen et al., 2015; Kalyaanamoorthy et al., 2017), rooted at its midpoint using phytools 0.6.60 (Revell, 2012), and ladderized using ape 5.3 (Paradis et al., 2004). All figures were rendered using Microsoft PowerPoint, the R package vegan version 2.5-6 (Dixon, 2003), or the R package ggplot2 version 3.2.1 (Wickham, 2011).

Results

Rarefaction Curves and Community α-Diversity

Following quality filtering, 1,758,652 total DNA sequences were recovered from 61 samples (59 horseshoe crab samples and two substrate samples). Of these >1.7 million high-quality DNA sequences, 6,844 unique amplicon sequence variants (ASVs) were identified, comprising 64 bacterial and archaeal phyla. Rarefaction curves for all samples plateaued at a reasonable sequence depth (∼5,000 sequences), indicating adequate coverage of the total diversity (Supplementary Figure S2).

To evaluate the effect of captivity on their microbiomes, several α-diversity indices were calculated at 1, 9, and 14 months in captivity (Figure 1). At all body locations, the wild horseshoe crabs hosted highly diverse microbial communities, with the mean observed ASVs exceeding 300 and Simpson’s evenness above 0.98. After 1 month in captivity, a decline was observed for all diversity indices, indicating a loss of richness (observed ASVs), diversity (Simpson and Shannon indices), and phylogenetic diversity (Faith’s PD). The decline was most clear in the observed ASVs and Faith’s PD index at all body locations and richness did not recover through the end of the study, except for partial recovery in the gills of two animals. A similar pattern of severe decline in Simpson’s Evenness was observed after 1 month for the carapace and gill samples; however, these values returned to near-normal levels within 9 months and remained high through the end of the study. The oral cavity samples displayed a progressive loss of richness over the course of the experimental timeline; evenness remained high but started to decline 14 months after captivity. Throughout the 14 months of captivity, the richness and evenness of the wild horseshoe crab microbiomes never reached the drastically low values of the tank-acclimated population that was in captivity for over 2 years, which had <60 observed ASVs at each body location on average.

FIGURE 1
www.frontiersin.org

Figure 1. Microbial alpha diversity measures at different locations from wild-caught Limulus polyphemus (0 months) introduced to a captive environment and sampled after 1, 9, and 14 months of captivity. Tank-acclimated (>2 years) individuals were sampled prior to introducing the wild-caught individuals into the tank to establish the microbiome already present in the tank. Each colored line represents one of the three wild individuals that was followed over time.

Community Composition of Horseshoe Crabs and Substrate

Both wild and tank-acclimated horseshoe crab microbiomes were dominated by Bacteria (>99% of ASVs), whereas Archaea were more abundant (∼3–6%) in the Florida and Shark Reef touch tank substrate samples (Supplementary Figure S3). The Florida substrate was the most diverse of all the samples and was comprised of Proteobacteria, Bacteroidetes, Chloroflexi, Planctomycetes, Spirochaetes, Cyanobacteria, Calditrichaeota, Acidobacteria, and Actinobacteria (Supplementary Figure S4). In comparison, the Shark Reef substrate sample was primarily comprised of Proteobacteria, Bacteroidetes, Actinobacteria, Nitrospirae, Thaumarchaeota, Acidobacteria, and Planctomycetes. The phylum- and class-level composition of the wild horseshoe crab microbiomes at the four body locations was highly similar, being dominated by Proteobacteria (Gammaproteobacteria and Alphaproteobacteria) and Bacteroidetes (Bacteroidia), with individual horseshoe crabs possessing varying abundances of Planctomycetes, Patescibacteria, Verrucomicrobia, and Actinobacteria. The phylum- and class-level composition of the wild horseshoe crab microbiome was generally retained throughout captivity, with Gammaproteobacteria, Bacteroidia, and Alphaproteobacteria being the most abundant classes across nearly all body locations and sampling times. However, over the course of 14 weeks in captivity, transient increases in the relative abundance of Firmicutes, Tenericutes, Epsilonbacteraeota, Fusobacteria, and an unclassified bacterial phylum were observed, during which these phyla comprised 8.0% to >70% of the microbiome in individual samples. The majority of the tank-acclimated horseshoe crab samples (9/12) were dominated by Gammaproteobacteria (>90% of the total community composition). The other three, all cloaca samples, also contained abundant Firmicutes, Bacteroidetes, and Epsilonbacteraeota. Bar plots showing the relative abundance at the domain, phylum, class, order, family, and genus levels for all samples can be found in Supplementary Figures S3S8.

Describing phylum-level composition is useful in creating a broad picture of a community and is common practice in the literature, however, it is difficult to extract meaningful information about ecological functions at that taxonomic level. To address this, we explored lower taxonomic levels (Figure 2 and Supplementary Figure S8). The four body locations sampled on the wild horseshoe crabs had highly similar microbial communities, with the most abundant members (at least 50% of the total community) being unclassified members of the Gammaproteobacteria, Chitinophagales, Rhodobacteraceae, Saprospiraceae, Flavobacteriaceae, and BD1-7 clade, along with the genera Vibrio, Tenacibaculum, Thiothrix, and Rubritalea (Figure 2).

FIGURE 2
www.frontiersin.org

Figure 2. Mean normalized abundance (n = 3) of the most abundant genera from different body locations of Limulus polyphemus. Wild-caught animals were sampled in the field (0 months) and following 14 months in captivity. For simplicity, samples taken at one and 9 months are not shown. The tank-acclimated individuals had been in the tank for over 2 years but were sampled at the same time the wild-caught 0-month samples were taken to establish the microbiome already present in the tank. Colors represent genera representing >5% of the total microbiome, while gray represents all the uncommon taxa (each < 5%) combined.

Although some dominant genera were retained in the wild-caught population after 14 months in captivity, there were large shifts in community composition, and a divergence of microbial community structure by body location (Figure 2). All body locations were colonized by unclassified Oceanospirillales and had a complete loss of Thiothrix and decreased abundance of Tenacibaculum and unclassified Rhodobacteraceae through time. The carapace and cloaca microbial communities had an increased abundance of the genus Rubritalea. Spongiimonas was observed in the oral cavity, cloaca, and gills, but not the carapace. The composition of the oral cavity samples was drastically different than the initial sample, with an increased abundance of Vibrio and an appearance of Staphylococcus. Cloaca samples had an increased abundance of Vibrio and unclassified Flavobacteriaceae and a decreased abundance of unclassified Gammaproteobacteria. Gill samples showed an increased abundance of unclassified Gammaproteobacteria, Flavobacteriaceae, and BD1-7 clade and a decrease in the abundance of Vibrio. The microbiome was dynamic over the course of the experimental timeline, with several taxa dominating the community (>10% of the total community) at different times, such as Shewanella, Chromohalobacter, Pseudomonas, Cocleimonas, Spongiimonas, and Staphylococcus (Supplementary Figure S8).

Aeromonas and Pseudomonas dominated the microbial communities of tank-acclimated carapace, oral cavity, and gill samples, comprising more than 75% of the total community (Figure 2). Additionally, Cocleimonas was observed on the carapace and unclassified Enterobacteriaceae in the oral cavity and gills (Supplementary Figure S8). The cloaca microbial communities were distinct and more diverse than the other body locations, with Aeromonas, Shewanella, Vagococcus, Enterococcus, Lactococcus, and Proteus present.

Community Dissimilarity Analysis

A NMDS analysis of Bray-Curtis dissimilarity for all samples enabled visualization of differences in microbial community composition by time and body location (Figure 3). The distinct microbial communities observed across time and body location were significantly different via PERMANOVA (p = 0.001 for both); individual was not a significant factor (p = 0.124). Samples separated by time along the x-axis (NMDS1) and body location along the y-axis (NMDS2). There was an increasing dissimilarity between the horseshoe crabs following time in captivity, shown by movement from right to left in the NMDS plot (Figure 3A). Both substrate samples were distinct from all horseshoe crab samples and each other, yet the wild horseshoe crab and captive horseshoe crab microbiomes (1–14 months) were most closely related to the Florida and aquarium substrates, respectively, suggesting environmental filtering. The dysbiotic tank-acclimated animal microbiomes were distinct and distant from both substrate microbial communities. As noted previously, the community composition of wild horseshoe crabs was highly similar across all body locations, and it became increasingly structured by body location during captivity, as evidenced by increased distance between points from right to left in the NMDS (Figure 3B). In striking contrast to the initial samples from the wild-caught animals, the community composition of the tank-acclimated horseshoe crabs was highly dissimilar between individuals, yet still retained some structuring by body location.

FIGURE 3
www.frontiersin.org

Figure 3. (A) NMDS showing the separation of microbiomes from combined sampling locations over time in captivity along NMDS1, including three wild-caught individuals at different sampling times (blue shades) and three tank-acclimated animals (brown; >2 years in captivity). For reference, substrates from the captive habitat and representative sediments from where the wild caught individuals were captured are shown (pink shades). (B) NMDS showing the separation of microbiomes from combined sampling times by body location along NMDS2. Taxonomic vectors representing bacterial and archaeal families that were significantly (p = 0.05) correlated with community dissimilarity were overlaid on to both plots.

To gain a deeper understanding of the taxonomic changes associated with captivity and body location, taxonomic vectors representing the bacterial and archaeal families that were significantly (p ≤ 0.05) correlated with community dissimilarity between the samples were fitted onto the NMDS ordination (Figure 3). Unique marker taxa were associated with the different horseshoe crab populations and sediment samples. Pirellulaceae (#4), Pseudoalteromonadaceae (#5), unclassified JGI 0000069P22 (#6), Desulfobacteraceae (#11), Desulfobulbaceae (#12), Weeksellaceae (#13), Nitrosopumilaceae (#24), and Thiotrichaceae (#30) were all present in the wild horseshoe crabs but were either partially or completely lost during captivity. Several families were observed at a low abundance in the wild horseshoe crabs but increased significantly during captivity, including Hyphomicrobiaceae (#20), Spongiibacteraceae (#23), Hyphomonadaceae (#25), Microtrichaeceae (#26), unclassified Gammaproteobacteria (#27), Bacteriovoracaceae (#28), and Bdellovibrionaceae (#29). After 14 months in captivity, the oral cavity of one wild-caught animal hosted dominant populations of Corynebacteriaceae (#14), Staphylococcaceae (#15), and Bacillaceae (#16). The tank-acclimated animals were dominated by Enterococcaceae (#17), Aeromonadaceae (#18), and Pseudomonadaceae (#19). Several families were associated with the native Florida substrate including Thermoanaerobaculaceae (#1), Calditrichaeceae (#7), Spirochaetaceae (#9), Chromatiaceae (#10), Desulfobacteraceae (#11), Desulfobulbaceae (#12), and Cyclobacteriaceae (#31). The touch tank substrate included unclassified Thalassobaculales (#21), Woeseiaceae (#22), Spongiibacteraceae (#23), Nitrosopumilaceae (#24), Hyphomonadaceae (#25), Microtrichaeceae (#26), and Cyclobacteriaceae (#31).

Differential Abundance Analysis of Sequence Variants

To more deeply resolve the shifts occurring in the microbial community structure of wild horseshoe crabs as they transitioned to captivity, we conducted several ASV-focused analyses. First, the number of ASVs exclusive to and shared between timepoints was compared (Figure 4). The ASV composition of each time grouping was largely unique (>80%), with very little overlap between time points or between the wild and tank-acclimated populations. Very few ASVs were present throughout the entire study (0.2–0.6%), underscoring the dynamic nature of the microbiome during the transition to captivity. Thus, even though the broader taxonomic structure (i.e., phylum and class) of the wild horseshoe crab microbiome was retained throughout captivity, the microbiome was nearly completely restructured at the ASV level. The loss of diversity evident in the alpha diversity measurements (Figure 1) was also evident here, as shown by the large proportion of unique ASVs in the wild-caught population (44–51% of the total ASV composition) and the decline of unique ASVs over time in captivity. The tank-acclimated horseshoe crab population had the lowest number of unique ASVs (0.8–5.5% of the total ASV composition).

FIGURE 4
www.frontiersin.org

Figure 4. Venn diagrams of the number of amplicon sequence variants (ASVs) identified from different sampling locations on Limulus polyphemus over time. In blue, beginning at the top of each diagram is wild-caught prior to captivity (0 months) and moving clock-wise around the diagram are samples from the same individuals at 1, 9, and 14 months of captivity. The final ellipse is from tank-acclimated individuals (>2 years) sampled at the beginning of the study to establish the microbiome already present in the tank.

Differential abundance analysis was employed to identify ASVs that were significantly (p < 0.01) differentially abundant in the wild-caught population between sampling locations or through time in captivity (Figure 5). Several ASVs completely disappeared from the wild horseshoe crab microbiome in captivity, including unclassified species of Thiothrix, Psychrilyobacter, Granulosicoccus, Alkanindiges, and Saprospiraceae. Other ASVs were present in all body locations at the first time point but only partially retained at a lower overall abundance and/or in less body locations after 14 months in captivity, such as Tenacibaculum soleae and unclassified species of Propionigenium, Spiroplasma, Pseudoalteromonas, and Ralstonia. Additionally, several ASVs associated with Psychrobacter maritimus and unclassified species of Photobacterium, Oleiphilus, Spongiimonas, Cocleimonas, Filomicrobium, Arcobacter, and Arenicella either increased in abundance or appeared de novo during captivity. Various ASVs associated with unclassified members of Rhodobacteraceae were abundant in the wild horseshoe crab microbiome but decreased in abundance and/or prevalence or disappeared completely after time in captivity. After 1 month in captivity, new ASVs associated with unclassified members of Rhodobacteraceae appeared in the wild horseshoe crab microbiome. Although an ASV associated with an unclassified species of Shewanella was initially observed in the wild population, this ASV was partially lost in captivity and replaced by two other Shewanella ASVs, another unclassified species and Shewanella algae. An additional version of this figure with a more lenient p-value cut-off (p = 0.05) is available in Supplementary Figure S9.

FIGURE 5
www.frontiersin.org

Figure 5. Heatmap showing the log10 counts per million (cpm) of 16S rRNA gene ASVs deemed significantly differentially abundant across time in captivity in the wild horseshoe crabs via DESeq2 analysis (p < 0.01). Samples have been grouped initially by time (0, 1, 9, and 14 months), then by body location (carapace, cloaca, gills, and oral cavity). The tip order of the p < 0.01 ASV tree was used to order the ASVs phylogenetically. ASVs are labeled according to genus-level taxonomy, indicated on the left. Family-level taxonomy of each ASV is indicated on the right side; colors match family-level bar plot (Supplementary Figure S7).

Discussion

Environment Plays a Role in Shaping Microbiome of Horseshoe Crabs

The genera Pseudoalteromonas, Vibrio, and Photobacterium have been previously isolated from book gills and mouth samples collected from adult wild and lab reared Asian horseshoe crab species T. gigas and C. rotundicauda (Ismail et al., 2015). Although those studies focused on different genera of horseshoe crabs inhabiting geographically distant environments, Vibrio and Pseudoalteromonas were also detected at appreciable abundance in wild L. polyphemus, suggesting they may be part of a natural core horseshoe crab microbiome. Photobacterium was also present, however, it was not abundant (<1%) in the microbiomes of wild L. polyphemus that we sampled. These three genera are common marine bacteria globally and include known symbionts and commensals of a variety of marine fauna. Pseudoalteromonas species are commonly found in the microbiome of different aquatic organisms, including coral species (Shnit-Orland et al., 2012), crayfish (Skelton et al., 2017), and copepods (Moisander et al., 2015). Vibrio is commonly found in the microbiomes of aquatic organisms and some species have been identified as pathogens, commensals, and mutualists, yet, an understanding of the relationships between many Vibrio species and their hosts requires further research (Thompson et al., 2016). A more comprehensive view of a core adult horseshoe crab microbiome awaits cultivation-independent surveys of other horseshoe crab species, and more individuals from different geographic and physicochemical environments (e.g., estuarine and marine).

Although little research has been done regarding the microbial communities in horseshoe crabs, extensive work has been carried out for other arthropods. A recent Proteobacteria-focused meta-analysis of previous arthropod microbiome studies listed ∼500 genera present in the microbiomes of three or more arthropods (Degli Esposti and Romero, 2017). Strikingly, only four of these genera were present at high abundance (>5%) in any of the wild horseshoe crabs, possibly reflecting the predominantly terrestrial nature of many arthropods that have been studied and/or the distant phylogenetic relationship between horseshoe crabs and arthropods included in the meta-analysis. These four genera have been described variably in ticks (a fellow arachnid), shrimps, and/or prawns (fellow aquatic arthropods). For example, Pseudoalteromonas was prevalent in the microbiomes of wild horseshoe crabs, ticks, and shrimps. Thiothrix was seen in horseshoe crabs and ticks but not in the other groups. Vibrio was present in all groups but was most abundant in shrimp and ticks. A high abundance of unclassified members of Rhodobacteraceae was observed in both horseshoe crabs and shrimp but not in the other two groups, indicating the prevalence of unclassified members of this lineage in marine arthropods. Strikingly, none of the major genera overlapped between scorpions and horseshoe crabs, despite their phylogenetic relationship within the Arachnida. Non-proteobacterial members of the wild-caught horseshoe crab microbiome are similarly not commonly reported in terrestrial arthropods (Otani et al., 2014; Vanthournout and Hendrickx, 2015; Bouchon et al., 2016; Degli Esposti and Romero, 2017).

The results of the meta-analysis support insights from previous studies that the proteobacterial microbiome of terrestrial arthropods is dominated by taxa commonly found in soil communities, implying that members of the microbiome are selectively filtered from an environmental pool (Degli Esposti and Romero, 2017). By extension, horseshoe crabs could be expected to host predominantly marine and estuarine microorganisms rather than soil microorganisms, but only a few taxa were detected in both the wild-caught horseshoe crab and native Florida substrate sample. However, this is not surprising given the environmental heterogeneity of horseshoe crabs, which provides them with a large pool of environmental microbes to interact with in comparison to our one native substrate sample. Generally, this environmental filtering hypothesis was supported by our data, as we observed many microbes commonly associated with marine systems in the wild horseshoe crab microbiomes. Marine systems are typically dominated by Alphaproteobacteria, Gammaproteobacteria, and Bacteroidia (Louca et al., 2016) and those same three classes often predominate in the microbiomes of marine animals (Colston and Jackson, 2016; Thomas et al., 2016; Degli Esposti and Romero, 2017).

Some of the microbes in the wild horseshoe crabs reflect their benthic lifestyle and suggest cycling between oxic and anoxic sediments. In particular, the presence of sulfate-reducing bacteria (SRB) (Desulfobacteraceae and Desulfobulbaceae) on the wild horseshoe crabs is likely enabled by burrowing or foraging in anoxic sediments where SRB predominate; the digestive system of arachnids is permeable to oxygen and not likely to shield SRB from an oxic environment (Lozano-Fernandez et al., 2016). Similarly, the high abundance and diversity of sulfide-oxidizing bacteria (SOB) in the genus Thiothrix in wild animals is consistent with the presence of SRB-derived sulfide. Symbioses between sulfur-oxidizing microorganisms and aquatic invertebrates are widespread in sulfide-rich marine environments and thought to have evolved independently in many organisms (Dubilier et al., 2008; Dattagupta et al., 2009; Distel et al., 2017; Bergin et al., 2018). Thiothrix is a common ectosymbiont of marine invertebrates (Temara et al., 1993; Brigmon and De Ridder, 1998; Bauermeister et al., 2012). The genus Granulosicoccus was prevalent in the oral cavity samples of the wild horseshoe crabs and is present in the microbiomes of several other marine organisms, such as seagrass (Kurilenko et al., 2010), kelp (Bengtsson et al., 2012), and corals (van Bleijswijk et al., 2015). A genomic analysis of the type strain Granulosicoccus antarcticus IMCC3135T (=KCCM 42676T = NBRC 102684T) revealed the presence of several genes associated with sulfur cycling; for example, the genome contained a gene encoding for the enzyme dimethylsulfoniopropionate (DMSP) demethylase and several genes associated with sulfur oxidation (Kang et al., 2018). These bacteria are likely responsible for a complex sulfur biogeochemical cycle in and on wild horseshoe crabs.

Significant Shifts Associated With Captivity Observed in Microbial Community Diversity and Structure of Horseshoe Crabs

Public aquaria are popular attractions that are commonplace all around the world as stand-alone entities or as additions to museums, malls, and hotels. Taking advantage of their popularity, modern-day accredited aquaria offer an exciting opportunity for the public to view and interact with various aquatic organisms, while also educating attendees about serious environmental issues, such as conservation. Touch-tank exhibits, which are commonly found in aquaria, provide visitors with the chance to directly interact with and touch live aquatic creatures, such as horseshoe crabs, rays, sharks, and others. Given that aquarium staff members are always present at these exhibits, touch tanks provide a unique educational experience beyond that of just attending an aquarium. Although aquaria and touch-tank exhibits are popular attractions worldwide and serve an important role in furthering ecological education, few studies have explored the health of captive organisms (Morris et al., 2012; Persky et al., 2012; Johnson et al., 2017) or described the microbial communities of the aquarium environment and organisms (Patin et al., 2018), how these microbial communities change over time (Van Bonn et al., 2015; Cardona et al., 2018), and how they compare to the natural environment and wild microbiome (Pagán-Jiménez et al., 2019).

An ever-increasing body of literature has demonstrated the importance of diverse microorganisms in ecology, such as biogeochemical cycling (Rousk and Bengtson, 2014), ecosystem health (Hooper et al., 2005), and disease prevention in hosts (Hamdi et al., 2011; Greenspan et al., 2019). In our study, we documented a drastic decrease in the diversity of the wild-caught horseshoe crabs microbiome and significant shifts in microbial community structure shortly after entering captivity. The diversity and composition of the natural microbiome that was lost following entrance into captivity never recovered. The tank-acclimated population, which had spent more than 2 years in captivity, was marked by a highly uneven and low-diversity microbiome. Similar patterns of declines in microbial diversity and microbial community shifts associated with captivity have been observed in sea cucumbers (Pagán-Jiménez et al., 2019) and dugongs (Eigeland et al., 2012). Another study, focused on smooth dogfish, found that there was a high incidence of mortality in adults and pups of an aquarium collection following entrance into captivity, despite various treatments (Persky et al., 2012). Contrastingly, a study assessing the health of cownose rays in a touch-tank exhibit at the John G. Shedd Aquarium to that of a population in an off-exhibit habitat demonstrated that there was no discernible difference in the health of the two populations (Johnson et al., 2017).

Aquarium systems attempt to recreate the natural habitat, but they differ from the natural ecosystem in several ways, including: (1) unnatural physical or chemical conditions (for example, the use of non-native substrate); (2) interactions with organisms that are rarely, if ever, experienced in nature, including microbes seeded from co-habiting species and human contact; (3) an unstable aquarium water microbial community, typically dominated by continuously shifting microbial blooms (Van Bonn et al., 2015; Patin et al., 2018); and (4) increased biomass/population density. We hypothesize that the combined stresses associated with living in a touch-tank exhibit are likely related to the decline in microbial diversity of the horseshoe crabs over time in captivity. Similar loss of microbial diversity associated with stress, such as hypoxia or temperature stress, have been described previously in brook char (Boutin et al., 2013) and Pacific oysters (Lokmer and Wegner, 2015). Another factor that may have contributed to the microbiome shifts observed during captivity in our study is the difference in diet between wild and captive horseshoe crabs. Wild horseshoe crabs encounter a myriad of possible food sources, including dead fish, algae, mollusks, worms, bivalves, and crustaceans. Captive populations, while still receiving a relatively diverse diet, are not exposed to the same level of diversity as their natural counterparts in the ocean. A captive diet limits not only the variety of food sources available, but also the microbial diversity in food inocula, which has been shown to be important in supporting the development of diverse microbial communities (Bolnick et al., 2014; Heiman and Greenway, 2016; Martínez-Mota et al., 2020).

We found that the high-level taxonomy (i.e., phylum and class) of the natural horseshoe crab microbiome was largely retained for over a year, but abundances of individual taxa, such as unclassified members of Gammaproteobacteria, Rhodobacteraceae, Flavobacteriaceae, and Saprospiraceae, became increasingly different in all body locations over the course of the experiment. Several unclassified species of Thiothrix, an abundant sulfur oxidizer in the wild horseshoe crab microbiome, completely disappeared after only 1 month in captivity and was replaced by unclassified species of a closely related sulfur-oxidizing genus, Cocleimonas (Tanaka et al., 2011). Additionally, Tenacibaculum soleae, which has been previously identified in diseased aquatic animals and seagrass, was partially lost over time in captivity (Pibñeiro-Vidal et al., 2008; Lujan et al., 2016; Burioli et al., 2018). We also observed the appearance of unclassified species of several novel taxa during time in captivity, including, Spongiimonas, Oleiphilus, Oleispira, and Oceanospirillales which we hypothesize to be indicative of the captive environment and seeded from the aquarium water (Van Bonn et al., 2015; Patin et al., 2018). Additionally, we recorded several transient increases in relative abundance of unclassified species of different taxa during captivity, such as Shewanella, Pseudomonas, Cocleimonas, Corynebacterium, Staphylococcus, and Spongiimonas, suggesting a highly unstable and dynamic community following entrance into captivity. Two species previously isolated from marine environments, Psychrobacter maritimus and Shewanella algae, also found in human clinical samples, appeared and were retained in the horseshoe crab microbiome during captivity (Simidu et al., 1990; Vogel et al., 2000; Romanenko et al., 2004).

Extreme differences between the tank-acclimated and wild-caught horseshoe crab microbiomes were apparent, with the former possessing highly uneven communities dominated by unclassified species of Aeromonas, Pseudomonas, and Enterobacteriaceae, with Shewanella algae and unclassified species of Enterococcus also abundant in the cloaca. The appearance of several unclassified species of human-associated taxa, such as Enterococcus, Corynebacterium, Staphylococcus, and Prevotella, in the captive animal populations may be related to the dynamic nature of the touch-tank exhibit, where various visitors are in direct contact with the animals. This might facilitate the transfer of human-associated taxa to the captive horseshoe crabs. This is in direct opposition to a study on cownose rays in touch tanks, which concluded that the transfer of human-associated taxa to the rays was negligible (Kearns et al., 2017). Cultural analyses of hemolymph samples from captive Limulus resulted in the isolation of several bacterial species associated with pathological conditions, including Shewanella putrefaciens (formerly Pseudomonas putrefaciens) and Aeromonas hydrophila (Khashe and Janda, 1998; LaDouceur et al., 2019). We hypothesize that the unclassified species of Pseudomonas and Aeromonas that dominate our tank-acclimated population are involved somehow in the development of the diseased state in our study. However, this hypothesis was not properly addressed by this study, but could be addressed in the future, for example, by applying principles of Koch’s Postulates.

Symbiotic Potential of Taxa Identified in the Wild Horseshoe Crab Microbiome

Termites and cockroaches are well-studied arthropod model organisms in symbiosis research and several studies have demonstrated the importance that symbiotic interactions played in their evolution, particularly their expansion into previously unoccupied niches, such as plant polymer degradation (Berlanga and Guerrero, 2016). In addition, marine symbioses are also quite well researched, with various studies detailing the biotechnological potential of and interactions between host-symbiont in deep-sea hydrothermal vents (Zimmermann et al., 2014; Ho et al., 2017), coral reefs (Venn et al., 2008), sponges (Venn et al., 2008), and polychaetes (Goffredi et al., 2005). We speculate that sulfur-cycling microorganisms, such as Thiothrix and Granulosicoccus, may play an important role in mediating horseshoe crab health and microbiome composition, possibly by competing with pathogens for attachment space and/or nutrients. As discussed previously, these microorganisms would benefit by living at or near redox interfaces and/or by transitioning frequently between oxic and anoxic environments that may source terminal electron acceptors and donors, respectively, and a variety of other nutrients. Additionally, several species of Pseudoalteromonas are widely discussed in the literature as symbionts, given their diverse metabolic potential and their ability to produce a variety of antibacterial, antifungal, algicidal, and antifouling compounds (Offret et al., 2016; Atencio et al., 2018).

One pathology associated with captive horseshoe crabs is the appearance of pitting or lesions on the carapace, which is composed primarily of chitin (Nolan and Smith, 2009). Once the exoskeleton of the horseshoe crab has been breached (or degraded), it would then be susceptible to secondary infections and given that adults do not molt, the damage accumulated is irreparable. Previous studies have associated infections in captive lab horseshoe crab populations with eukaryotic parasites, algae, fungi, and bacteria (commonly Cyanobacteria and Gram-negative bacteria) (Leibovitz and Lewbart, 2003; Smith, 2007; Braverman et al., 2012; LaDouceur et al., 2019). We hypothesize that the appearance of these lesions could be due to shifts in the horseshoe crab microbiome, resulting in an overall increase in the abundance of chitinolytic bacteria or the appearance of opportunistic pathogens capable of degrading chitin. More specifically, we posit that certain taxa in the wild animals with potential chitinolytic activity, such as Vibrio and Pseudoalteromonas (Vogan et al., 2008; Machado et al., 2015), may represent commensalistic or mutualistic members of the microbiome that help remove loose material, while out-competing potentially pathogenic chitinolytic bacteria. These organisms are also likely kept in check by other microorganisms in nature. In contrast, we observed highly abundant and potentially pathogenic ASVs of unclassified Aeromonas and Pseudomonas species in captivity, which could contribute to the development of lesions and disease over time (Frederiksen et al., 2013; LaDouceur et al., 2019; Salighehzadeh et al., 2019). Fungi have also been identified as possible chitinase containing pathogens that could be involved in this process (Tuxbury et al., 2014; LaDouceur et al., 2019). In our study, we excluded eukaryotic sequences from analysis and therefore were unable to document the fungal communities of our samples.

Conclusion

This study details the first cultivation-independent survey of the adult horseshoe crab microbiome. The microbial community of wild horseshoe crabs was diverse and highly similar across body locations but was nearly completely restructured through time in captivity. Changes in the microbiomes of horseshoe crabs over time in captivity includes significant loss of diversity, increasing uniqueness by body location, dynamic shifts in the most abundant taxa, and eventual development of highly uneven dysbiotic communities dominated by a few opportunistic pathogens, primarily Aeromonas and Pseudomonas.

This study provides an initial framework for understanding the horseshoe crab microbiome and its response to captivity. We suggest some directions for future study below. Sampling could be increased and expanded. The wild horseshoe crabs that were sampled represent a very small portion of the geographic distribution and physicochemical conditions of L. polyphemus in the wild. To more deeply understand the diversity of the natural microbiome of these animals, additional sampling throughout their range and at different points in their life cycle is warranted. A longer experimental timeline (>2 years in captivity) and more frequent sampling could provide a more detailed view of how the microbiota change in captivity. While we found evidence of bacteria that are known to contain chitinase, it is still unknown if the carapace lesions are caused by bacteria or if the lesions develop first, then become opportunistically infected after. A directed investigation that includes progressively analyzing the lesions as they develop or intentionally infecting individuals with different strains of bacteria could shed light on the mechanism of disease. Several bacteria found on captive horseshoe crabs were typical of human hosts and others were known human pathogens—understanding more about the transmission of these bacteria in both directions is important for the health and safety of both the animals and the visitors of the exhibit. Other avenues to explore include understanding the role substrate type and depth plays in microbial associations and how the density of individuals including co-habiting species affect the rate at which the microbial community changes.

Data Availability Statement

The datasets generated for this study can be found in the NCBI Sequence Read Archive (SRA) under the bioproject accession number PRJNA605038. Scripts for all analyses performed as well as qiime2-compatible archive files are available in the GitHub repository hedlundb/LP16S.

Author Contributions

SN, JJ, and LB conceived the study and experimental design. SN, LB, FL, GM, AF, and CS collected and processed samples. SN, BH, AF, and CS worked together to design the figures. AF and CS were responsible for generating figures for the manuscript. AF and SN co-wrote the first draft of this manuscript, which was initially edited by BH. All authors contributed to the article and approved the submitted version.

Funding

Portions of this project were supported by the undergraduate research grants to GM and LB [U.S. Department of Education: Asian American and Native American Pacific Islander-Serving Institutions (AANAPISI) program, Grant #: P031150019] and FL [National Science Foundation, Louis Stokes Alliance for Minority Participation (LSAMP), Grant #: HRD-1712523].

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We would like to thank Nicole Cox and Bianca Markie for their excellent care of the animals and assistance with sampling during this study.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2020.01398/full#supplementary-material

FIGURE S1 | Representative photos depicting the extent of shell disease in horseshoe crabs from the touch-tank exhibit at the Shark Reef Aquarium. Observations for each individual are as follows: (A) Male with bilateral pitting behind lateral compound eyes and dark pit/spot along the median ridge of dorsal cephalothorax. Dark spot on left dorsal opisthosoma near telson base and random pitting and dark pigmentation spread throughout; (B) Female with identifiable dark patches on dorsal opisthosoma. Broken 3rd walking leg on left side; (C) Male with dark discoloration spread over dorsal cephalothorax with two bilateral lines between lateral compound eyes. Dark line halfway down telson. Two bilateral marks on distal portion of ventral cephalothorax. Missing tip of 4th walking leg; (D) Female with large dark spots on dorsal opisthosoma.

FIGURE S2 | Rarefaction curve comparing the number of total observed species (Species) to the number of reads in each sample (Sample Size). Samples are colored corresponding to the time series: substrates (pink), wild (shades of blue), and tank-acclimated (brown).

FIGURE S3 | Bar plot representing the domain-level relative abundance of taxa in all samples. The two substrate samples have been grouped and all horseshoe crabs have been grouped by individual sampled. Taxonomic classification was based on SILVA (version 132).

FIGURE S4 | Bar plot representing the phylum-level relative abundance of taxa in all samples. The two substrate samples have been grouped and all horseshoe crabs have been grouped by individual sampled. Taxa whose abundance was <5% were grouped together and listed as such. All unclassified taxa at this rank and the <5% group are colored gray. Taxonomic classification was based on SILVA (version 132).

FIGURE S5 | Bar plot representing the class-level relative abundance of taxa in all samples. The two substrate samples have been grouped and all horseshoe crabs have been grouped by individual sampled. Taxa whose abundance was <5% were grouped together and listed as such. All unclassified taxa at this rank and the <5% group are colored gray. Taxonomic classification was based on SILVA (version 132).

FIGURE S6 | Bar plot representing the order-level relative abundance of taxa in all samples. The two substrate samples have been grouped and all horseshoe crabs have been grouped by individual sampled. Taxa whose abundance was <5% were grouped together and listed as such. All unclassified taxa at this rank and the <5% group are colored gray. Taxonomic classification was based on SILVA (version 132).

FIGURE S7 | Bar plot representing the family-level relative abundance of taxa in all samples. The two substrate samples have been grouped and all horseshoe crabs have been grouped by individual sampled. Taxa whose abundance was <5% were grouped together and listed as such. All unclassified taxa at this rank and the <5% group are colored gray. Taxonomic classification was based on SILVA (version 132).

FIGURE S8 | Bar plot representing the genus-level relative abundance of taxa in all samples. The two substrate samples have been grouped and all horseshoe crabs have been grouped by individual sampled. Taxa whose abundance was <5% were grouped together and listed as such. All unclassified taxa at this rank and the <5% group are colored gray. Taxonomic classification was based on SILVA (version 132).

FIGURE S9 | Heatmap showing the log10 counts per million (cpm) of 16S rRNA gene ASVs deemed significantly differentially abundant across time in captivity in the wild horseshoe crabs via DESeq2 analysis (p < 0.05). Samples have been grouped initially by time (0, 1, 9, and 14 months), then by body location (carapace, cloaca, gills, and oral cavity). The tip order of the p < 0.05 ASV tree was used to order the ASVs phylogenetically. ASVs are labeled according to Genus-level taxonomy, indicated on the left. Family-level taxonomy of each ASV is indicated on the right side; colors match family-level bar plot (Supplementary Figure S7).

Footnotes

  1. ^ https://earthmicrobiome.org/protocols-and-standards/16s/

References

Apprill, A., McNally, S., Parsons, R., and Weber, L. (2015). Minor revision to V4 region SSU rRNA 806R gene primer greatly increases detection of SAR11 bacterioplankton. Aquat. Microb. Ecol. 75, 129–137. doi: 10.3354/ame01753

CrossRef Full Text | Google Scholar

Atencio, L. A., Dal Grande, F., Young, G. O., Gavilán, R., Guzmán, H. M., Schmitt, I., et al. (2018). Antimicrobial-producing Pseudoalteromonas from the marine environment of Panama shows a high phylogenetic diversity and clonal structure. J. Basic Microbiol. 58, 747–769. doi: 10.1002/jobm.201800087

PubMed Abstract | CrossRef Full Text | Google Scholar

Ballesteros, J. A., and Sharma, P. P. (2019). A critical appraisal of the placement of Xiphosura (Chelicerata) with account of known sources of phylogenetic error. Syst. Biol. 68, 896–917. doi: 10.1093/sysbio/syz011

PubMed Abstract | CrossRef Full Text | Google Scholar

Bauermeister, J., Ramette, A., and Dattagupta, S. (2012). Repeatedly evolved host-specific ectosymbioses between sulfur-oxidizing bacteria and amphipods living in a cave ecosystem. PLoS One 7:e50254. doi: 10.1371/journal.pone.0050254

PubMed Abstract | CrossRef Full Text | Google Scholar

Bengtsson, M. M., Sjøtun, K., Lanzén, A., and Øvreås, L. (2012). Bacterial diversity in relation to secondary production and succession on surfaces of the kelp Laminaria hyperborea. ISME J. 6, 2188–2198. doi: 10.1038/ismej.2012.67

PubMed Abstract | CrossRef Full Text | Google Scholar

Bergin, C., Wentrup, C., Brewig, N., Blazejak, A., Erséus, C., Giere, O., et al. (2018). Acquisition of a novel sulfur-oxidizing symbiont in the gutless marine worm Inanidrilus exumae. Appl. Environ. Microbiol. 84:e02267-17. doi: 10.1128/AEM.02267-17

PubMed Abstract | CrossRef Full Text | Google Scholar

Berlanga, M., and Guerrero, R. (2016). The holobiont concept: the case of xylophagous termites and cockroaches. Symbiosis 68, 49–60. doi: 10.1007/s13199-016-0388-9

CrossRef Full Text | Google Scholar

Bokulich, N. A., Kaehler, B. D., Rideout, J. R., Dillon, M., Bolyen, E., Knight, R., et al. (2018). Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin. Microbiome 6:90. doi: 10.1186/s40168-018-0470-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Bolnick, D. I., Snowberg, L. K., Hirsch, P. E., Lauber, C. L., Knight, R., Caporaso, J. G., et al. (2014). Individuals’ diet diversity influences gut microbial diversity in two freshwater fish (threespine stickleback and Eurasian perch). Ecol. Lett. 17, 979–987. doi: 10.1111/ele.12301

PubMed Abstract | CrossRef Full Text | Google Scholar

Bolyen, E., Rideout, J. R., Dillon, M. R., Bokulich, N. A., Abnet, C. C., Al-Ghalith, G. A., et al. (2019). Author correction: reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat. Biotechnol. 37:1091. doi: 10.1038/s41587-019-0252-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Botton, M. L. (1984). Diet and food preferences of the adult horseshoe crab Limulus polyphemus in Delaware Bay, New Jersey, USA. Mar. Biol. 81, 199–207. doi: 10.1007/BF00393118

CrossRef Full Text | Google Scholar

Botton, M. L. (2009). “The ecological importance of horseshoe crabs in estuarine and coastal communities: a review and speculative summary,” in Biology and Conservation of Horseshoe Crabs, eds J. T. Tanacredi, M. L. Botton, and D. R. Smith (New York, NY: Springer), 45–63. doi: 10.1007/978-0-387-89959-6_3

CrossRef Full Text | Google Scholar

Bouchon, D., Zimmer, M., and Dittmer, J. (2016). The terrestrial isopod microbiome: an all-in-one toolbox for animal–microbe interactions of ecological relevance. Front. Microbiol. 7:1472. doi: 10.3389/fmicb.2016.01472

PubMed Abstract | CrossRef Full Text | Google Scholar

Boutin, S., Bernatchez, L., Audet, C., and Derôme, N. (2013). Network analysis highlights complex interactions between pathogen, host and commensal microbiota. PLoS One 8:e84772. doi: 10.1371/journal.pone.0084772

PubMed Abstract | CrossRef Full Text | Google Scholar

Braverman, H., Leibovitz, L., and Lewbart, G. A. (2012). Green algal infection of American horseshoe crab (Limulus polyphemus) exoskeletal structures. J. Invertebr. Pathol. 111, 90–93. doi: 10.1016/j.jip.2012.06.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Brigmon, R. L., and De Ridder, C. (1998). Symbiotic relationship of Thiothrix spp. with an echinoderm. Appl. Environ. Microbiol. 64, 3491–3495.

Google Scholar

Bullis, R. A. (1994). “Care and maintenance of horseshoe crabs for use in biomedical research,” in Techniques in Fish Immunology, eds J. S. Stolen, T. C. Fletcher, A. F. Rowley, J. T. Zelikoff, S. L. Kaattari, and S. A. Smith (Fair Haven, NJ: SOS Publications), A9–A10.

Google Scholar

Burioli, E. A. V., Varello, K., Trancart, S., Bozzetta, E., Gorla, A., Prearo, M., et al. (2018). First description of a mortality event in adult Pacific oysters in Italy associated with infection by a Tenacibaculum soleae strain. J. Fish Dis. 41, 215–221. doi: 10.1111/jfd.12698

PubMed Abstract | CrossRef Full Text | Google Scholar

Callahan, B. J., McMurdie, P. J., Rosen, M. J., Han, A. W., Johnson, A. J. A., and Holmes, S. P. (2016). DADA2: high-resolution sample inference from Illumina amplicon data. Nat. Methods 13, 581–583. doi: 10.1038/nmeth.3869

PubMed Abstract | CrossRef Full Text | Google Scholar

Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., et al. (2010). QIIME allows analysis of high-throughput community sequencing data. Nat. Methods 7, 335–336. doi: 10.1038/nmeth.f.303

PubMed Abstract | CrossRef Full Text | Google Scholar

Cardona, C., Lax, S., Larsen, P., Stephens, B., Hampton-Marcell, J., Edwardson, C. F., et al. (2018). Environmental sources of bacteria differentially influence host-associated microbial dynamics. mSystems 3:e00052-18. doi: 10.1128/mSystems.00052-18

PubMed Abstract | CrossRef Full Text | Google Scholar

Carmichael, R. H., and Brush, E. (2012). Three decades of horseshoe crab rearing: a review of conditions for captive growth and survival. Rev. Aquacult. 4, 32–43.

Google Scholar

Colston, T. J., and Jackson, C. R. (2016). Microbiome evolution along divergent branches of the vertebrate tree of life: what is known and unknown. Mol. Ecol. 25, 3776–3800. doi: 10.1111/mec.13730

PubMed Abstract | CrossRef Full Text | Google Scholar

Dattagupta, S., Schaperdoth, I., Montanari, A., Mariani, S., Kita, N., Valley, J. W., et al. (2009). A novel symbiosis between chemoautotrophic bacteria and a freshwater cave amphipod. ISME J. 3, 935–943. doi: 10.1038/ismej.2009.34

PubMed Abstract | CrossRef Full Text | Google Scholar

Degli Esposti, M., and Romero, E. M. (2017). The functional microbiome of arthropods. PLoS One 12:e0176573. doi: 10.1371/journal.pone.0176573

PubMed Abstract | CrossRef Full Text | Google Scholar

Distel, D. L., Altamia, M. A., Lin, Z., Shipway, J. R., Han, A., Forteza, I., et al. (2017). Discovery of chemoautotrophic symbiosis in the giant shipworm Kuphus polythalamia (Bivalvia: Teredinidae) extends wooden-steps theory. Proc. Natl. Acad. Sci. U.S.A. 114, 3652–3658. doi: 10.1073/pnas.1620470114

PubMed Abstract | CrossRef Full Text | Google Scholar

Dixon, P. (2003). VEGAN, a package of R functions for community ecology. J. Vegetation Sci. 14, 927–930. doi: 10.1111/j.1654-1103.2003.tb02228.x

CrossRef Full Text | Google Scholar

Dubilier, N., Bergin, C., and Lott, C. (2008). Symbiotic diversity in marine animals: the art of harnessing chemosynthesis. Nat. Rev. Microbiol. 6, 725–740. doi: 10.1038/nrmicro1992

PubMed Abstract | CrossRef Full Text | Google Scholar

Eigeland, K. A., Lanyon, J. M., Trott, D. J., Ouwerkerk, D., Blanshard, W., Milinovich, G. J., et al. (2012). Bacterial community structure in the hindgut of wild and captive dugongs (Dugong dugon). Aquat. Mamm. 38, 402–411. doi: 10.1578/AM.38.4.2012.402

CrossRef Full Text | Google Scholar

Frederiksen, R. F., Paspaliari, D. K., Larsen, T., Storgaard, B. G., Larsen, M. H., Ingmer, H., et al. (2013). Bacterial chitinases and chitin-binding proteins as virulence factors. Microbiology 159, 833–847. doi: 10.1099/mic.0.051839-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Goffredi, S. K., Orphan, V. J., Rouse, G. W., Jahnke, L., Embaye, T., Turk, K., et al. (2005). Evolutionary innovation: a bone-eating marine symbiosis. Environ. Microbiol. 7, 1369–1378. doi: 10.1111/j.1462-2920.2005.00824.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Greenspan, S. E., Lyra, M. L., Migliorini, G. H., Kersch-Becker, M. F., Bletz, M. C., Lisboa, C. S., et al. (2019). Arthropod–bacteria interactions influence assembly of aquatic host microbiome and pathogen defense. Proc. R. Soc. B Biol. Sci. 286:20190924. doi: 10.1098/rspb.2019.0924

PubMed Abstract | CrossRef Full Text | Google Scholar

Hamdi, C., Balloi, A., Essanaa, J., Crotti, E., Gonella, E., Raddadi, N., et al. (2011). Gut microbiome dysbiosis and honeybee health. J. Appl. Entomol. 135, 524–533. doi: 10.1111/j.1439-0418.2010.01609.x

CrossRef Full Text | Google Scholar

Hargreaves, J. A. (1998). Nitrogen biogeochemistry of aquaculture ponds. Aquaculture 166, 181–212.

Google Scholar

Heiman, M. L., and Greenway, F. L. (2016). A healthy gastrointestinal microbiome is dependent on dietary diversity. Mol. Metab. 5, 317–320. doi: 10.1016/j.molmet.2016.02.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Ho, P. T., Park, E., Hong, S. G., Kim, E. H., Kim, K., Jang, S. J., et al. (2017). Geographical structure of endosymbiotic bacteria hosted by Bathymodiolus mussels at eastern Pacific hydrothermal vents. BMC Evol. Biol. 17:121. doi: 10.1186/s12862-017-0966-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Hooper, D. U., Chapin, F. S., Ewel, J. J., Hector, A., Inchausti, P., Lavorel, S., et al. (2005). Effects of biodiversity on ecosystem functioning: a consensus of current knowledge. Ecol. Monogr. 75, 3–35. doi: 10.1890/04-0922

CrossRef Full Text | Google Scholar

Ismail, N., Faridah, M., Ahmad, A., Alia’m, A. A., Khai, O. S., Sofa, M. F. A. M., et al. (2015). “Marine bacteria associated with horseshoe crabs, Tachypleus gigas and Carcinoscorpius rotundicauda,” in Changing Global Perspectives on Horseshoe Crab Biology, Conservation and Management, eds R. Carmichael, M. Botton, P. Shin, and S. Cheung (Cham: Springer), 313–320. doi: 10.1007/978-3-319-19542-1_18

CrossRef Full Text | Google Scholar

Johnson, J. G., Naples, L. M., Van Bonn, W. G., Kent, A. D., Mitchell, M. A., and Allender, M. C. (2017). Evaluation of health parameters in cownose rays (Rhinoptera bonasus) housed in a seasonal touch pool habitat compared with an off-exhibit habitat. J. Zoo Wildlife Med. 48, 954–960. doi: 10.1638/2017-0091.1

PubMed Abstract | CrossRef Full Text | Google Scholar

Kalyaanamoorthy, S., Minh, B. Q., Wong, T. K. F., von Haeseler, A., and Jermiin, L. S. (2017). ModelFinder: fast model selection for accurate phylogenetic estimates. Nat. Methods 14, 587–589. doi: 10.1038/nmeth.4285

PubMed Abstract | CrossRef Full Text | Google Scholar

Kang, I., Lim, Y., and Cho, J. C. (2018). Complete genome sequence of Granulosicoccus antarcticus type strain IMCC3135T, a marine gammaproteobacterium with a putative dimethylsulfoniopropionate demethylase gene. Mar. Genomics 37, 176–181. doi: 10.1016/j.margen.2017.11.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Kearns, P. J., Bowen, J. L., and Tlusty, M. F. (2017). The skin microbiome of cow-nose rays (Rhinoptera bonasus) in an aquarium touch-tank exhibit. Zoo Biol. 36, 226–230. doi: 10.1002/zoo.21362

PubMed Abstract | CrossRef Full Text | Google Scholar

Kembel, S. W., Cowan, P. D., Helmus, M. R., Cornwell, W. K., Morlon, H., Ackerly, D. D., et al. (2010). Picante: R tools for integrating phylogenies and ecology. Bioinformatics 26, 1463–1464. doi: 10.1093/bioinformatics/btq166

PubMed Abstract | CrossRef Full Text | Google Scholar

Khashe, S., and Janda, J. M. (1998). Biochemical and Pathogenic Properties of Shewanella alga and Shewanella putrefaciens. J. Clin. Microbiol. 36, 783–787. doi: 10.1128/JCM.36.3.783-787.1998

CrossRef Full Text | Google Scholar

Kin, A., and Blażjowski, B. (2014). The horseshoe crab of the genus Limulus: living fossil or stabilomorph? PLoS One 9:e108036. doi: 10.1371/journal.pone.0108036

PubMed Abstract | CrossRef Full Text | Google Scholar

Kurilenko, V. V., Christen, R., Zhukova, N. V., Kalinovskaya, N. I., Mikhailov, V. V., Crawford, R. J., et al. (2010). Granulosicoccus coccoides sp. nov., isolated from leaves of seagrass (Zostera marina). Int. J. Syst. Evol. Microbiol. 60, 972–976. doi: 10.1099/ijs.0.013516-0

PubMed Abstract | CrossRef Full Text | Google Scholar

LaDouceur, E. E. B., Mangus, L., Garner, M. M., and Cartoceti, A. N. (2019). Histologic findings in captive American horseshoe crabs (Limulus polyphemus). Vet. Pathol. 6, 932–939. doi: 10.1177/0300985819859877

PubMed Abstract | CrossRef Full Text | Google Scholar

Leibovitz, L. (1986). Cyanobacterial diseases of the horseshoe crab (Limulus polyphemus). Biol. Bull. 171, 482–483.

Google Scholar

Leibovitz, L., and Lewbart, G. A. (2003). “Diseases and symbionts: vulnerability despite tough shells,” in The American Horseshoe Crab, eds C. N. Shuster, R. B. Barlow, and H. J. Brockmann (Cambridge, MA: Harvard University Press), 245–275.

Google Scholar

Liu, J. S., and Passaglia, C. L. (2009). Using the horseshoe crab, Limulus polyphemus, in vision research. J. Vis. Exp. 29:e1384. doi: 10.3791/1384

PubMed Abstract | CrossRef Full Text | Google Scholar

Llewellyn, M. S., Boutin, S., Hoseinifar, S. H., and Derome, N. (2014). Teleost microbiomes: the state of the art in their characterization, manipulation and importance in aquaculture and fisheries. Front. Microbiol. 5:207. doi: 10.3389/fmicb.2014.00207

PubMed Abstract | CrossRef Full Text | Google Scholar

Lokmer, A., and Wegner, K. M. (2015). Hemolymph microbiome of Pacific oysters in response to temperature, temperature stress and infection. ISME J. 9, 670–682. doi: 10.1038/ismej.2014.160

PubMed Abstract | CrossRef Full Text | Google Scholar

Louca, S., Parfrey, L. W., and Doebeli, M. (2016). Decoupling function and taxonomy in the global ocean microbiome. Science 353, 1272–1277. doi: 10.1126/science.aaf4507

PubMed Abstract | CrossRef Full Text | Google Scholar

Love, M. I., Huber, W., and Anders, S. (2014). Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15:550. doi: 10.1186/s13059-014-0550-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Lozano-Fernandez, J., Carton, R., Tanner, A. R., Puttick, M. N., Blaxter, M., Vinther, J., et al. (2016). A molecular palaeobiological exploration of arthropod terrestrialization. Philos. Trans. R. Soc. Lond. B Biol Sci. 371:20150133. doi: 10.1098/rstb.2015.0133

PubMed Abstract | CrossRef Full Text | Google Scholar

Lujan, K. M., Eisen, J. A., and Coil, D. A. (2016). Draft genome sequence of Tenacibaculum soleae UCD-KL19. Genome Announc. 4:e01120-16. doi: 10.1128/genomeA.01120-16

PubMed Abstract | CrossRef Full Text | Google Scholar

Machado, H., Sonnenschein, E. C., Melchiorsen, J., and Gram, L. (2015). Genome mining reveals unlocked bioactive potential of marine Gram-negative bacteria. BMC Genomics 16:158. doi: 10.1186/s12864-015-1365-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Martínez-Mota, R., Kohl, K. D., Orr, T. J., and Dearing, M. D. (2020). Natural diets promote retention of the native gut microbiota in captive rodents. ISME J. 14, 67–78. doi: 10.1038/s41396-019-0497-6

PubMed Abstract | CrossRef Full Text | Google Scholar

McMurdie, P. J., and Holmes, S. (2013). phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data. PLoS One 8:e61217. doi: 10.1371/journal.pone.0061217

PubMed Abstract | CrossRef Full Text | Google Scholar

Minh, B. Q., Nguyen, M. A. T., and von Haeseler, A. (2013). Ultrafast approximation for phylogenetic bootstrap. Mol. Biol. Evol. 30, 1188–1195. doi: 10.1093/molbev/mst024

PubMed Abstract | CrossRef Full Text | Google Scholar

Moisander, P. H., Sexton, A. D., and Daley, M. C. (2015). Stable associations masked by temporal variability in the marine copepod microbiome. PLoS One 10:e0138967. doi: 10.1371/journal.pone.0138967

PubMed Abstract | CrossRef Full Text | Google Scholar

Morgan, K. N., and Tromborg, C. T. (2007). Sources of Stress in Captivity. Appl. Anim. Behav. Sci. 102, 262–302. doi: 10.1016/j.applanim.2006.05.032

CrossRef Full Text | Google Scholar

Morris, A. L., Stremme, D. W., Sheppard, B. J., Walsh, M. T., Farina, L. L., and Francis-Floyd, R. (2012). The onset of goiter in several species of sharks following the addition of ozone to a touch pool. J. Zoo Wildlife Med. 43, 621–624.

Google Scholar

Nguyen, L. T., Schmidt, H. A., von Haeseler, A., and Minh, B. Q. (2015). IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol. Biol. Evol. 32, 268–274. doi: 10.1093/molbev/msu300

PubMed Abstract | CrossRef Full Text | Google Scholar

Niles, L. J., Bart, J., Sitters, H. P., Dey, A. D., Clark, K. E., Atkinson, P. W., et al. (2009). Effects of horseshoe crab harvest in Delaware Bay on red knots: are harvest restrictions working? BioScience 59, 153–164. doi: 10.1525/bio.2009.59.2.8

CrossRef Full Text | Google Scholar

Nolan, M. W., and Smith, S. A. (2009). “Clinical evaluation, common diseases, and veterinary care of the horseshoe crab, Limulus polyphemus,” in Biology and Conservation of Horseshoe Crabs, eds J. T. Tanacredi, M. L. Botton, and D. R. Smith (New York, NY: Springer), 79–99. doi: 10.1007/978-0-387-89959-6_30

CrossRef Full Text | Google Scholar

Offret, C., Desriac, F., Le Chevalier, P., Mounier, J., Jégou, C., and Fleury, Y. (2016). Spotlight on antimicrobial metabolites from the marine bacteria Pseudoalteromonas: chemodiversity and ecological significance. Mar. Drugs 14, 129. doi: 10.3390/md14070129

PubMed Abstract | CrossRef Full Text | Google Scholar

Otani, S., Mikaelyan, A., Nobre, T., Hansen, L. H., Koné, N. G. A., Sørensen, S. J., et al. (2014). Identifying the core microbial community in the gut of fungus-growing termites. Mol. Ecol. 23, 4631–4644. doi: 10.1111/mec.12874

PubMed Abstract | CrossRef Full Text | Google Scholar

Pagán-Jiménez, M., Ruiz-Calderón, J. F., Dominguez-Bello, M. G., and García-Arrarás, J. E. (2019). Characterization of the intestinal microbiota of the sea cucumber Holothuria glaberrima. PLoS One 14:e0208011. doi: 10.1371/journal.pone.0208011

PubMed Abstract | CrossRef Full Text | Google Scholar

Parada, A. E., Needham, D. M., and Fuhrman, J. A. (2016). Every base matters: assessing small subunit rRNA primers for marine microbiomes with mock communities, time series and global field samples. Environ. Microbiol. 18, 1403–1414. doi: 10.1111/1462-2920.13023

PubMed Abstract | CrossRef Full Text | Google Scholar

Paradis, E., Claude, J., and Strimmer, K. (2004). APE: analyses of phylogenetics and evolution in R language. Bioinformatics 20, 289–290. doi: 10.1093/bioinformatics/btg412

PubMed Abstract | CrossRef Full Text | Google Scholar

Patin, N. V., Pratte, Z. A., Regensburger, M., Hall, E., Gilde, K., Dove, A. D., et al. (2018). Microbiome dynamics in a large artificial seawater aquarium. Appl. Environ. Microbiol. 84:e00179-18. doi: 10.1128/AEM.00179-18

PubMed Abstract | CrossRef Full Text | Google Scholar

Persky, M. E., Williams, J. J., Burks, R. E., Bowman, M. R., Ramer, J. C., and Proudfoot, J. S. (2012). Hematologic, plasma biochemistry, and select nutrient values in captive smooth dogfish (Mustelus canis). J. Zoo Wildlife Med. 43, 842–851.

Google Scholar

Pibñeiro-Vidal, M., Carballas, C. G., Gomez-Barreiro, O., Riaza, A., and Santos, Y. (2008). Tenacibaculum soleae sp. nov., isolated from diseased sole (Solea senegalensis Kaup). Int. J. Syst. Evol. Microbiol. 58, 881–885. doi: 10.1099/ijs.0.65539-0

CrossRef Full Text | Google Scholar

Price, M. N., Dehal, P. S., and Arkin, A. P. (2009). FastTree: computing large minimum evolution trees with profiles instead of a distance matrix. Mol. Biol. Evol. 26, 1641–1650. doi: 10.1093/molbev/msp077

PubMed Abstract | CrossRef Full Text | Google Scholar

Price, M. N., Dehal, P. S., and Arkin, A. P. (2010). FastTree 2–approximately maximum-likelihood trees for large alignments. PLoS One 5:e9490. doi: 10.1371/journal.pone.0009490

PubMed Abstract | CrossRef Full Text | Google Scholar

Pruesse, E., Peplies, J., and Glöckner, F. O. (2012). SINA: accurate high-throughput multiple sequence alignment of ribosomal RNA genes. Bioinformatics 28, 1823–1829. doi: 10.1093/bioinformatics/bts252

PubMed Abstract | CrossRef Full Text | Google Scholar

Pruesse, E., Quast, C., Knittel, K., Fuchs, B. M., Ludwig, W., Peplies, J., et al. (2007). SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB. Nucleic Acids Res. 35, 7188–7196. doi: 10.1093/nar/gkm864

PubMed Abstract | CrossRef Full Text | Google Scholar

Revell, L. J. (2012). phytools: an R package for phylogenetic comparative biology (and other things). Methods Ecol. Evol. 3, 217–223. doi: 10.1111/j.2041-210X.2011.00169.x

CrossRef Full Text | Google Scholar

Romanenko, L. A., Lysenko, A. M., Rohde, M., Mikhailov, V. V., and Stackebrandt, E. (2004). Psychrobacter maritimus sp. nov. and Psychrobacter arenosus sp. nov., isolated from coastal sea ice and sediments of the Sea of Japan. Int. J. Syst. Evol. Microbiol. 54, 1741–1745. doi: 10.1099/ijs.0.63096-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Rousk, J., and Bengtson, P. (2014). Microbial regulation of global biogeochemical cycles. Front. Microbiol. 5:103. doi: 10.3389/fmicb.2014.00103

PubMed Abstract | CrossRef Full Text | Google Scholar

Rudkin, D. M., and Young, G. A. (2009). “Horseshoe crabs–an ancient ancestry revealed,” in Biology and conservation of horseshoe crabs, eds J. T. Tanacredi, M. L. Botton, and D. Smith (New York, NY: Springer), 25–44. doi: 10.1007/978-0-387-89959-6_2

CrossRef Full Text | Google Scholar

Salighehzadeh, R., Sharifiyazdi, H., Akhlaghi, M., Khalafian, M., Gholamhosseini, A., and Soltanian, S. (2019). Molecular and clinical evidence of Aeromonas hydrophila and Fusarium solani co-infection in narrow-clawed crayfish Astacus leptodactylus. Dis. Aquat. Org. 132, 135–141. doi: 10.3354/dao03309

PubMed Abstract | CrossRef Full Text | Google Scholar

Sekiguchi, K., and Shuster, C. N. (2009). “Limits on the global distribution of horseshoe crabs (Limulacea): lessons learned from two lifetimes of observations: Asia and America,” in Biology and Conservation of Horseshoe Crabs, eds J. T. Tanacredi, M. L. Botton, and D. Smith (New York, NY: Springer), 5–24. doi: 10.1007/978-0-387-89959-6_1

CrossRef Full Text | Google Scholar

Shnit-Orland, M., Sivan, A., and Kushmaro, A. (2012). Antibacterial activity of Pseudoalteromonas in the coral holobiont. Microb. Ecol. 64, 851–859. doi: 10.1007/s00248-012-0086-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Simidu, U., Kita-Tsukamoto, K., Yasumoto, T., and Yotsu, M. (1990). Taxonomy of four marine bacterial strains that produce tetrodotoxin. Int. J. Syst. Evol. Microbiol. 40, 331–336. doi: 10.1099/00207713-40-4-331

PubMed Abstract | CrossRef Full Text | Google Scholar

Skelton, J., Geyer, K. M., Lennon, J. T., Creed, R. P., and Brown, B. L. (2017). Multi-scale ecological filters shape the crayfish microbiome. Symbiosis 72, 159–170. doi: 10.1007/s13199-016-0469-9

CrossRef Full Text | Google Scholar

Smith, D. R. (2007). Effect of horseshoe crab spawning density on nest disturbance and exhumation of eggs: a simulation study. Estuar. Coast. 30, 287–295. doi: 10.1007/BF02700171

CrossRef Full Text | Google Scholar

Smith, D. R., Brockmann, H. J., Beekey, M. A., King, T. L., Millard, M. J., and Zaldívar-rae, J. (2017). Conservation status of the American horseshoe crab, (Limulus polyphemus): a regional assessment. Rev. Fish Biol. Fish. 1, 135–175. doi: 10.1007/s11160-016-9461-y

CrossRef Full Text | Google Scholar

Tanaka, N., Romanenko, L. A., Iino, T., Frolova, G. M., and Mikhailov, V. V. (2011). Cocleimonas flava gen. nov., sp. nov., a gammaproteobacterium isolated from sand snail (Umbonium costatum). Int. J. Syst. Evol. Microbiol. 61, 412–416. doi: 10.1099/ijs.0.020263-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Temara, A., De Ridder, C., Kuenen, J. G., and Robertson, L. A. (1993). Sulfide-oxidizing bacteria in the burrowing echinoid, Echinocardium cordatum (Echinodermata). Mar. Biol. 115, 179–185. doi: 10.1007/BF00346333

CrossRef Full Text | Google Scholar

Thomas, T., Moitinho-Silva, L., Lurgi, M., Björk, J. R., Easson, C., Astudillo-García, C., et al. (2016). Diversity, structure and convergent evolution of the global sponge microbiome. Nat. Commun. 7:11870. doi: 10.1038/ncomms11870

PubMed Abstract | CrossRef Full Text | Google Scholar

Thompson, F., Iida, T., and Swings, J. (2016). Biodiversity of vibrios. Microbiol. Mol. Biol. Rev. 68, 403–431. doi: 10.1128/MMBR.68.3.403-431.2004

PubMed Abstract | CrossRef Full Text | Google Scholar

Thompson, J., Ben Ahmeid, A. A., Pickett, C., and Neil, D. (2011). Identification of Cost-Effective Measures to Improve Holding Conditions and Husbandry Practices for the Horseshoe Crab Limulus polyphemus. Project Report. Glasgow: University of Glasgow.

Google Scholar

Thompson, L. R., Sanders, J. G., McDonald, D., Amir, A., Ladau, J., Locey, K. J., et al. (2017). A communal catalogue reveals Earth’s multiscale microbial diversity. Nature 55, 457–463. doi: 10.1038/nature24621

PubMed Abstract | CrossRef Full Text | Google Scholar

Tuxbury, K. A., Shaw, G. C., Montali, R. J., Clayton, L. A., Kwiatkowski, N. P., Dykstra, M. J., et al. (2014). Fusarium solani species complex associated with carapace lesions and branchitis in captive American horseshoe crabs Limulus polyphemus. Dis. Aquat. Org. 109, 223–230. doi: 10.3354/dao02764

PubMed Abstract | CrossRef Full Text | Google Scholar

van Bleijswijk, J. D. L., Whalen, C., Duineveld, G. C. A., Lavaleye, M. S. S., Witte, H. J., and Mienis, F. (2015). Microbial assemblages on a cold-water coral mound at the SE Rockall Bank (NE Atlantic): interactions with hydrography and topography. Biogeosciences 12, 4483–4496. doi: 10.5194/bg-12-4483-2015

CrossRef Full Text | Google Scholar

Van Bonn, W., LaPointe, A., Gibbons, S. M., Frazier, A., Hampton-Marcell, J., and Gilbert, J. (2015). Aquarium microbiome response to ninety-percent system water change: clues to microbiome management. Zoo Biol. 34, 360–367. doi: 10.1002/zoo.21220

PubMed Abstract | CrossRef Full Text | Google Scholar

Vanthournout, B., and Hendrickx, F. (2015). Endosymbiont dominated bacterial communities in a dwarf spider. PLoS One 10:0117297. doi: 10.1371/journal.pone.0117297

PubMed Abstract | CrossRef Full Text | Google Scholar

Venn, A. A., Loram, J. E., and Douglas, A. E. (2008). Photosynthetic symbioses in animals. J. Exp. Bot. 59, 1069–1080. doi: 10.1093/jxb/erm328

PubMed Abstract | CrossRef Full Text | Google Scholar

Vogan, C. L., Powell, A., and Rowley, A. F. (2008). Shell disease in crustaceans–just chitin recycling gone wrong? Environ. Microbiol. 10, 826–835. doi: 10.1111/j.1462-2920.2007.01514.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Vogel, B. F., Holt, H. M., Gerner-Smidt, P., Bundvad, A., Søgaard, P., and Gram, L. (2000). Homogeneity of Danish environmental and clinical isolates of Shewanella algae. Appl. Environ. Microbiol. 66, 443–448. doi: 10.1128/AEM.66.1.443-448.2000

PubMed Abstract | CrossRef Full Text | Google Scholar

Wickham, H. (2011). Ggplot2. WIREs Comp. Stat. 2, 180–185. doi: 10.1002/wics.147

CrossRef Full Text | Google Scholar

Williams, K. L. (2019). “Limulus as a model organism,” in Endotoxin Detection and Control in Pharma, Limulus, and Mammalian Systems, ed. K. L. Williams (Cham: Springer), 597–629.

Google Scholar

Zimmermann, J., Lott, C., Weber, M., Ramette, A., Bright, M., Dubilier, N., et al. (2014). Dual symbiosis with co-occurring sulfur-oxidizing symbionts in vestimentiferan tubeworms from a Mediterranean hydrothermal vent. Environ. Microbiol. 16, 3638–3656. doi: 10.1111/1462-2920.12427

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: 16S rRNA, aquarium, captivity, bacteria, marine, holobiont

Citation: Friel AD, Neiswenter SA, Seymour CO, Bali LR, McNamara G, Leija F, Jewell J and Hedlund BP (2020) Microbiome Shifts Associated With the Introduction of Wild Atlantic Horseshoe Crabs (Limulus polyphemus) Into a Touch-Tank Exhibit. Front. Microbiol. 11:1398. doi: 10.3389/fmicb.2020.01398

Received: 29 February 2020; Accepted: 29 May 2020;
Published: 14 July 2020.

Edited by:

Chris Dupont, J. Craig Venter Institute, United States

Reviewed by:

Georg Steinert, Retired, Oldenburg, Germany
Bradley Stevenson, The University of Oklahoma, United States

Copyright © 2020 Friel, Neiswenter, Seymour, Bali, McNamara, Leija, Jewell and Hedlund. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Sean A. Neiswenter, Sean.Neiswenter@unlv.edu; Brian P. Hedlund, brian.hedlund@unlv.edu

These authors share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.