Abstract
Coral diseases are a leading factor contributing to the global decline of coral reefs, and yet mechanisms of disease transmission remain poorly understood. This study tested whether zooplankton can act as a vector for white band disease (WBD) in Acropora cervicornis. Natural zooplankton communities were collected from a coral reef in Bocas del Toro, Panama. Half of the zooplankton were treated with antibiotics for 24 h after which the antibiotic-treated and non-antibiotic-treated zooplankton were incubated with either seawater or tissue homogenates from corals exhibiting WBD-like symptoms. A total of 15 of the 30 asymptomatic A. cervicornis colonies exposed to zooplankton incubated in disease homogenate in tank-based experiments showed signs of WBD, regardless of prior antibiotic incubation. These results indicate that in our experimental conditions zooplankton were a vector for coral disease after exposure to disease-causing pathogens. Given the importance of heterotrophy on zooplankton to coral nutrition, this potential mode of disease transmission warrants further investigation.
Keywords: Acropora cervicornis, Zooplankton, Coral disease
Introduction
Coral diseases are on the rise across the world’s reefs and are likely to spread and worsen with the growing impact of climate change (Maynard et al., 2015). However, despite their increasing threat to global coral health, coral disease etiologies often remain elusive. White band disease (WBD) is one such enigmatic condition. Since its initial detection in 1979, WBD has devastated populations of the Caribbean acroporids, Acropora palmata and Acropora cervicornis (Aronson & Precht, 2001; Gladfelter, 1982; Bythell & Gladfelter, 1993). As a direct result of WBD outbreaks, both corals are now classified as critically endangered by the IUCN Red List of Threatened Species. Despite its profound effect on Caribbean reef ecosystems, key aspects of WBD causation and transmission remain unknown.
The WBD epizootic is highly infectious and has been shown to be transmissible through the water to injured corals, as well as through coral-coral contact (Kline & Vollmer, 2011). WBD is generally thought to be bacterial since it can be impeded by antibiotics and stimulated by exposure to bacterial autoinducers (Kline & Vollmer, 2011; Sweet, Croquer & Bythell, 2014; Certner & Vollmer, 2015). Although the exact consortium of pathogens has not been identified, several bacterial families are thought to be involved in WBD infection including Vibrionaceae, Alteromonadaceae, and Flavobacteriaceae (Gil-Agudelo & Smith, 2006; Sweet, Croquer & Bythell, 2014; Gignoux-Wolfsohn & Vollmer, 2015). Waterborne transmission of WBD has also been established in tank-based experiments (Gignoux-Wolfsohn, Marks & Vollmer, 2012; Certner & Vollmer, 2015). Coral disease is also spread by corallivores such as fireworms, snails, and a variety of reef fish (Sussman, Loya & Fine, 2003; Gignoux-Wolfsohn, Marks & Vollmer, 2012; RotjanLewis, 2008).
Diverse marine bacterial communities play vital roles in ocean ecosystems including nutrient cycling, decomposition of organic matter, and acting as a basal food source level (Das & Lyla, 2006). Marine bacteria are commonly found attached to various surfaces including zooplankton (Karner & Hernl, 1992). For example, copepod exoskeletons and guts are rich in bacteria (Tang et al., 2011). The chitinous exoskeleton of zooplankton may provide stable microhabitats for bacterial colonization (Karner & Hernl, 1992). Zooplankton have been demonstrated to be reservoirs for marine pathogens—specifically Vibrio cholerae—implicated in human diseases (Tamplin et al., 1990). Gammaproteobacteria, the bacterial class containing the greatest number of known pathogens, dominates copepod-associated bacterial communities, especially compared to the surrounding seawater (Shoemaker & Moisander, 2015). Within the Gammaproteobacteria class, Vibrionaceae, Alteromonadaceae, and Pseudoalteromonadaceae were found to be particularly common families associated with zooplankton, all of which are also linked to WBD in corals (Gil-Agudelo & Smith, 2006; Gignoux-Wolfsohn & Vollmer, 2015). In addition, zooplankton have been shown to be vectors impacting marine organisms including fish and shellfish as zooplankton are suspected reservoirs for the highly infectious birnaviruses (Kitamura, Kamata & Nakano, 2003).
In this study, we investigated whether zooplankton facilitate the spread of WBD when asymptomatic A. cervicornis are exposed to “WBD-infected zooplankton” and thus explore the potential connection between coral heterotrophy and waterborne disease transmission.
Materials and Methods
Experimental design and field methods
Sixty asymptomatic A. cervicornis fragments were collected from Coral Cay (9°15′16″N, 82°7′40″W) in Bocas del Toro, Panama in February 2016. Each 8 cm fragment was collected using clippers from a distinct coral colony showing no tissue loss. Corals were at least two meters apart to remove any effect of colony genotype. Collection permits were provided by Autoridad Nacional del Ambiente (ANAM) SE/A-9-16, Republic of Panama. Coral fragments were acclimated in 12 aquaria for 48 h in a flow-through system. During this time, all corals remained visually healthy. Zooplankton were collected in three separate 10 min tows by a diver with a 50 µm plankton net directly over A. cervicornis patches at 7 m depth. From each tow, three subsamples of zooplankton were counted to estimate total zooplankton collected; the communities were dominated by copepods and polychaetes. All zooplankton were then concentrated into 600 ml of 50 µm-filtered seawater (50 µm FSW) and inverted to ensure homogeneity before dividing evenly among 12 bottles (50 ml bottle−1). A total of 50 µm FSW was then added to each bottle up to 200 ml. We estimate that there were ∼90 zooplankters bottle−1. An antibiotic cocktail containing tetracycline, ampicillin, and chloramphenicol was added to six of the aliquots at 100 µg ml−1 and all aliquots were incubated for 24 h in the dark. After 24 h, 75 µl from each aliquot was plated onto LB media (general culture media made with seawater) and TCBS media (Vibrio-selective media) in order to determine antibiotic efficacy. After 24 h zooplankton could be seen actively swimming in all bottles.
The following day, 18 WBD-infected A. cervicornis fragments were collected from the same reef and homogenized in 0.2 µm-filtered seawater (0.2 µm FSW). Six 30 ml WBD pools were created by combining 10 ml from three homogenates. WBD pools were spun at 500 rpm for five min to remove debris. Samples from each WBD pool were preserved for subsequent 16S rRNA gene sequencing in DNA buffer (Fukami et al., 2004). Each of the 12 aliquots of zooplankton was filtered at 0.2 µm. Zooplankton were rinsed from filter with 0.2 µm FSW into 12 new aliquots of 50 ml 0.2 µm FSW. Six aliquots (three plus-antibiotic and three minus-antibiotic) were dosed with a 30 ml WBD pool while the remaining six were supplemented with 30 ml 0.2 µm FSW, creating two levels of antibiotic exposure (plus antibiotic or minus antibiotic) that were fully crossed with two levels of disease exposure (plus WBD or minus WBD). This resulted in four treatments: (1) plus antibiotic, minus WBD, (2) plus antibiotic, plus WBD, (3) minus antibiotic, minus WBD, and (4) minus antibiotic, plus WBD. Zooplankton samples were incubated for 24 h, after which zooplankton could be seen actively swimming in all bottles.
Acclimated coral fragments were given a ∼7.5 mm2 lesion using an airbrush with 0.2 µm FSW to mimic injury in the field known to increase susceptibility to WBD infection (Gignoux-Wolfsohn, Marks & Vollmer, 2012; Certner & Vollmer, 2015). Five corals were placed in 12 closed-system aquaria containing 4 l seawater each. A circulating powerhead in each aquarium was covered with 50 µm mesh to prevent damage to the zooplankton. Each of the 12 zooplankton aliquots (three replicates per treatment) were filtered with 50 µm mesh. The zooplankton were then thoroughly rinsed with 0.2 µm FSW and then transferred to aquaria using 0.2 µm FSW (Fig. 1). Corals were checked every 3 h for 96 h for WBD-like signs. Upon detection, the diseased fragment was removed from the aquarium and transferred to a holding aquarium to prevent contamination of other replicates. After 96 h, corals were removed and aquaria water was filtered through 50 µm mesh to collect remaining zooplankton. The mesh was then rinsed with 0.2 µm FSW directly into labeled dishes. Each dish was examined under a dissecting microscope to determine the number of remaining zooplankton.
16S library preparation and bioinformatics
Total DNA was extracted from disease pool samples using the BioSprint 96 DNA Blood Kit with the addition of PEB buffer (Qiagen, Hilden, Germany). Primers were created to target the V3–V4 hypervariable region of the 16S rRNA gene (Integrated DNA Technologies, Fadrosh et al., 2014). PCR products were normalized and the resulting multiplexed paired-end libraries were sequenced on the Illumina 2,500 HiSeq platform at Tufts University (Fadrosh et al., 2014). Since sequences did not sufficiently overlap, single-read sequences (comprising the V4 region) were demultiplexed using a custom script. OTUs were clustered at 97% similarity using the open reference picking script from QIIME and UCLUST against the SILVA database (Caporaso et al., 2010; Quast et al., 2013). OTU taxonomy was assigned using BLAST against the SILVA database. OTU counts were normalized using the arithmetic mean modification as per Gignoux-Wolfsohn & Vollmer (2015) and Anders & Huber (2010).
Statistical analyses
We used a generalized linear model (GLM) with a binomial error distribution that accounts for overdispersion in order to determine whether the proportion of infected A. cervicornis fragments varied across the antibiotic (plus or minus) and disease (WBD or FSW) treatments using the MASS package (Venables & Ripley, 2003) for R. Statistical significance was determined via Likelihood Ratio Tests (LTR) using the R package car (Fox & Weisberg, 2011). We verified that the model residuals were normally distributed (Shapiro–Wilk test; p = 0.251) and homoscedastic (Levene’s test; p = 0.596).
Results
Our post-antibiotic exposure plating results showed the antibiotic treatment was highly effective at killing bacteria as plates from the plus-antibiotic treatment had zero colonies present and plates from the minus-antibiotic treatment showed hundreds of colonies present. Zooplankton exposed to antibiotic resulted in zero CFUs on both LB and TCBS media for each aliquot. Conversely, non-antibiotic treated zooplankton resulted in plates containing hundreds of CFUs.
The six WBD pools were sequenced for 16S and 97% clustering yielded 1,919 OTUs. One of the six pools had an insufficient level of read depth and thus was excluded from the analyses. Disease pools were dominated by Proteobacteria, particularly Gammaproteobacteria (Oceanospirillales, Thiotrichales, Alteromonadales, Vibrionales, Methylococcales) and Alphaproteobacteria (Rickettsiales, Rhodospirillales) (Fig. 2). A large portion of the community for each of the WBD pools was dominated by low-abundance species labeled as “Other” (Fig. 2).
Corals exposed to zooplankton incubated in the WBD pools showed a significant increase in WBD infection (15 out of 30 fragments) compared to corals exposed to zooplankton incubated in FSW where no transmission occurred (Figs. 3 and 4). Our two-factor aquaria-based experiment showed a significant effect of disease exposure (χ2(1) = 5.407, p = 0.02), but not antibiotic exposure (χ2(1) = 0.680, p = 0.41) or an interaction on WBD infection in A. cervicornis (χ2(1) = 0, p = 1) (Fig. 4). Upon termination of the experiment, aquaria water was filtered at 50 µm to determine the state of remaining zooplankton. Fewer than 25% of the added zooplankton were recovered and the majority of the individuals from each aquarium were living.
Discussion
16S analyses were conducted in order to confirm that our WBD pools contained disease-causing bacteria. Our WBD pools contain many bacterial orders shown to be associated with coral disease in general and WBD specifically. Vibrionales has been linked to WBD on numerous occasions (Certner & Vollmer, 2015; Gignoux-Wolfsohn & Vollmer, 2015; Gil-Agudelo & Smith, 2006; Ritchie, 2006) as well as Rickettsiales (Casas et al., 2004), Oceanospirillales (Gignoux-Wolfsohn & Vollmer, 2015), Alteromonadales (Gignoux-Wolfsohn & Vollmer, 2015), and Campylobacterales (Gignoux-Wolfsohn & Vollmer, 2015) (Fig. 2). These results suggest that the zooplankton were incubated with likely WBD pathogens. Interestingly, Gammaproteobacteria—the principal taxonomic class in the disease pools— are strongly linked to bacterial colonization of zooplankton (Heidelberg & Heidelberg, 2002; Shoemaker & Moisander, 2015). Multiple studies have found that zooplankton microbiomes are dominated by Gammaproteobacteria, especially Vibrios. These opportunistic species likely benefit from the nutrient-rich zooplankton microhabitat unavailable in seawater. As a result, it is probable that zooplankton are hospitable to WBD-associated microbes, generally thought to be within the Gammaproteobacteria class. In essence, the bacteria that zooplankton are most likely to harbor are the same bacteria most likely to cause disease in a variety of marine organisms including corals.
This study is the first to explore disease transmission via coral heterotrophy. Corals across all treatments were found to have consumed over 75% of the supplied zooplankton. This result indicates that asymptomatic corals feeding on zooplankton covered with disease-associated bacteria can become infected with WBD. Although incubating zooplankton with the WBD-associated microbiome is a contrived scenario, these results imply that, under certain conditions, zooplankton may act as a coral disease vector.
Zooplankton communities on coral reefs are extremely variable (Heidelberg, O’Neil & Bythell, 2010). Therefore, it is difficult to assess the exposure of corals to zooplankton harboring disease-associated bacteria in the field. However, our results show that zooplankton act as reservoirs for WBD-associated bacteria thus facilitating the exposure of corals to concentrated infectious agents. We hypothesize that during WBD outbreaks, when infected coral tissue enters the surrounding environment at higher concentrations, zooplankton could come into contact with disease-causing bacteria at a local scale (Haas et al., 2013). Therefore, we suggest that zooplankton act as a vector for WBD, explaining how isolated disease outbreaks can spread quickly across reefs.
Further investigation is needed to better understand the mechanisms of zooplankton acting as a vector for WBD and its prevalence under natural circumstances. Although lesioning corals is a standard procedure used to ensure WBD transmission in aquaria, we hypothesize that consumption of disease-associated bacteria via zooplankton heterotrophy may also infect uninjured corals. To further investigate the prevalence of zooplankton as disease vectors in the field, demersal plankton traps should be placed over WBD-infected A. cervicornis colonies. Comparing the bacterial communities of these zooplankton and the WBD-infected corals may reveal common OTUs, which would indicate that zooplankton spread WBD.
Zooplankton comprise the base of secondary production in most aquatic ecosystems and are a crucial component of innumerable food webs. However, negative impacts of zooplankton are understudied, especially in regards to disease transmission to other marine organisms. Here we show that zooplankton can act as a vector for coral disease, specifically WBD in A. cervicornis, under certain experimental circumstances where zooplankton are artificially exposed to high densities of disease-causing bacteria.
Supplemental Information
Acknowledgments
We thank Sarah Gignoux-Wolfsohn, Erik Holum, and Tarik Gouhier for bioinformatics and statistical guidance, Francis Choi for valuable comments, and the gecko in the dryer. We also thank the Smithsonian Tropical Research Institute for field and lab support. Supported by National Science Foundation Awards #1458158 (SVV) and #1412462 (MRP), and Northeastern University. This is contribution number 355 from the Marine Science Center at Northeastern University.
Funding Statement
This work was supported by National Science Foundation Awards #1458158 and #1412462, and by Northeastern University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Additional Information and Declarations
Competing Interests
The authors declare there are no competing interests.
Author Contributions
Rebecca H. Certner and Amanda M. Dwyer conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.
Mark R. Patterson and Steven V. Vollmer conceived and designed the experiments, contributed reagents/materials/analysis tools, reviewed drafts of the paper.
Field Study Permissions
The following information was supplied relating to field study approvals (i.e., approving body and any reference numbers):
Collection permits were provided by Autoridad Nacional del Ambiente (ANAM) SE/A-9-16, Republic of Panama.
Data Availability
The following information was supplied regarding data availability:
The fasta files for the WBD pools are accessible via FigShare
(DOI: 10.6084/m9.figshare.4828669) and in the Supplemental Information.
References
- Anders & Huber (2010).Anders S, Huber W. Differential expression analysis for sequence count data. Genome Biology. 2010;11:R106. doi: 10.1186/gb-2010-11-10-r106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Aronson & Precht (2001).Aronson RB, Precht WF. White-band disease and the changing face of Caribbean coral reefs. Hydrobiologia. 2001;460:25–38. doi: 10.1023/A:1013103928980. [DOI] [Google Scholar]
- Bythell & Gladfelter (1993).Bythell J, Gladfelter E. Chronic and catastrophic natural mortality of three common Caribbean reef corals. Coral Reefs. 1993;12:143–152. doi: 10.1007/BF00334474. [DOI] [Google Scholar]
- Caporaso et al. (2010).Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, Fierer N, Pena AG, Goodrich JK. QIIME allows analysis of high-throughput community sequencing data. Nature Methods. 2010;7:335–336. doi: 10.1038/nmeth.f.303. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Casas et al. (2004).Casas V, Kline DI, Wegley L, Yu Y, Breitbart M. Widespread associated of a Rickettsiales-like bacterium with reef-building corals. Environmental Microbiology. 2004;6:1137–1148. doi: 10.1111/j.1462-2920.2004.00647.x. [DOI] [PubMed] [Google Scholar]
- Certner & Vollmer (2015).Certner RH, Vollmer SV. Evidence for autoinduction and quorum sensing in white band disease-causing microbes on Acropora cervicornis. Scientific Reports. 2015;5:11134. doi: 10.1038/srep11134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Das & Lyla (2006).Das S, Lyla PS. Marine microbial diversity and ecology: importance and future perspectives. Current Science. 2006;90:1325–1335. [Google Scholar]
- Fadrosh et al. (2014).Fadrosh DW, Ma B, Gajer P, Sengamalay N, Ott S, Brotman RM. An improved dual-indexing approach for multiplexed 16S rRNA gene sequencing on the Illumina MiSeq platform. Microbiome. 2014;2:6. doi: 10.1186/2049-2618-2-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fox & Weisberg (2011).Fox J, Weisberg S. An R companion to applied regression. Second edition Sage Publications; Thousand Oaks: 2011. [Google Scholar]
- Fukami et al. (2004).Fukami H, Budd AF, Levitan DR, Jara J, Kersanach R. Geographic differences in species boundaries among members of the Montastrea annularis complex based on molecular and morphological markers. Evolution. 2004;58:324–337. doi: 10.1111/j.0014-3820.2004.tb01648.x. [DOI] [PubMed] [Google Scholar]
- Gladfelter (1982).Gladfelter WB. White-band disease in Acropora palmata: implications for the structure and growth of shallow reefs. Bulletin of Marine Scienc. 1982;32:639–643. [Google Scholar]
- Gignoux-Wolfsohn, Marks & Vollmer (2012).Gignoux-Wolfsohn S, Marks CJ, Vollmer SV. White Band Disease transmission in the threatened coral, Acropora cervicornis. Scientific Reports. 2012;2:804. doi: 10.1038/srep00804. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gignoux-Wolfsohn & Vollmer (2015).Gignoux-Wolfsohn SA, Vollmer SV. Identification of candidate coral pathogens on White Band Disease-infected staghorn coral. PLOS ONE. 2015;10(8) doi: 10.1371/journal.pone.0134416. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gil-Agudelo & Smith (2006).Gil-Agudelo D, Smith G, Weil E. The white band disease type II pathogen in Puerto Rico. Revista de Biologia Tropical. 2006;54:59–67. [Google Scholar]
- Haas et al. (2013).Haas AF, Nelson CE, Rohwer F, Wegley-Kelly F, Quistad SD, Carlson CA, Leichter JJ, Hatay M. Influence of coral and algal exudates on microbially mediated reef metabolism. PeerJ. 2013;1:e108. doi: 10.7717/peerj.108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Heidelberg & Heidelberg (2002).Heidelberg J, Heidelberg K. Bacteria of the γ-subclass Proteobacteria associated with zooplankton in Chesapeake Bay. Applied and Environmental Microbiology. 2002;68:5498–5507. doi: 10.1128/AEM.68.11.5498-5507.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Heidelberg, O’Neil & Bythell (2010).Heidelberg J, O’Neil KL, Bythell JC. Vertical distribution and diel patterns of zooplankton abundance and biomass at Conch Reef, Florida Keys (USA) Journal of Plankton Research. 2010;32:75–91. doi: 10.1093/plankt/fbp101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Karner & Hernl (1992).Karner M, Hernl GJ. Extracellular enzymatic activity and secondary production in free-living and marine-snow-associated bacteria. Marine Biology. 1992;113:341–347. doi: 10.1007/BF00347289. [DOI] [Google Scholar]
- Kitamura, Kamata & Nakano (2003).Kitamura S-I, Kamata S-I, Nakano S-I. Detection of marine birnavirus genome in zooplankton collected from the Uwa Sea, Japan. Diseases of Aquatic Organisms. 2003;54:69–72. doi: 10.3354/dao054069. [DOI] [PubMed] [Google Scholar]
- Kline & Vollmer (2011).Kline DI, Vollmer SV. White Band Disease (type I) of endangered Caribbean acroporid corals is caused by pathogenic bacteria. Scientific Reports. 2011;1:7. doi: 10.1038/srep00007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maynard et al. (2015).Maynard J, Van Hooidonk R, Eakin MC, Puotinen M, Garren M, Williams G, Heron SF, Lamb J, Weil E. Projections of climate conditions that increase coral disease susceptibility and pathogen abundance and virulence. Nature Climate Change. 2015;5:688–694. doi: 10.1038/nclimate2625. [DOI] [Google Scholar]
- Quast et al. (2013).Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Research. 2013;41:D590–D596. doi: 10.1093/nar/gks1219. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ritchie (2006).Ritchie K. Regulation of microbial populations by coral surface mucus and mucus-associated bacteria. Marine Ecology Progress Series. 2006;322:1–14. doi: 10.3354/meps322001. [DOI] [Google Scholar]
- RotjanLewis (2008).Rotjan RD. Impact of coral predators on tropical reefs. Marine Ecology Progress Series. 2008;367:73–91. doi: 10.3354/meps07531. [DOI] [Google Scholar]
- Shoemaker & Moisander (2015).Shoemaker KM, Moisander PH. Microbial diversity associated with copepods in the North Atlantic subtropical gyre. FEMS Microbiology Ecology. 2015;91(7):fiv064. doi: 10.1093/femsec/fiv064. [DOI] [PubMed] [Google Scholar]
- Sussman, Loya & Fine (2003).Sussman M, Loya Y, Fine M. The marine fireworm Hermodice carunculata is a winter reservoir and spring–summer vector for the coral-bleaching pathogen Vibrio shiloi. Environmental Microbiology. 2003;5:250–255. doi: 10.1046/j.1462-2920.2003.00424.x. [DOI] [PubMed] [Google Scholar]
- Sweet, Croquer & Bythell (2014).Sweet MJ, Croquer A, Bythell JC. Experimental antibiotic treatment identifies potential pathogens of white band disease in the endangered Caribbean coral Acropora cervicornis. Proceedings of the Royal Society B: : Biological Sciences. 2014;281:20140094. doi: 10.1098/rspb.2014.0094. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tamplin et al. (1990).Tamplin ML, Gauzens AL, Huq A, Sack DA. Attachment of Vibrio cholerae serogroup O1 to zooplankton and phytoplankton of Bangladesh waters. Applied and Environmental Microbiology. 1990;56:1977–1980. doi: 10.1128/aem.56.6.1977-1980.1990. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tang et al. (2011).Tang KW, Glud RN, Glud A, Rysgaard S. Copepod guts as biogeochemical hotspots in the sea: evidence from microelectrode profiling of Calanus spp. Limnology and Oceanography. 2011;56:666–672. doi: 10.4319/lo.2011.56.2.0666. [DOI] [Google Scholar]
- Venables & Ripley (2003).Venables WN, Ripley BD. Modern Applied Statistics with S. Springer; New York: 2003. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The following information was supplied regarding data availability:
The fasta files for the WBD pools are accessible via FigShare
(DOI: 10.6084/m9.figshare.4828669) and in the Supplemental Information.