Abstract

The sea-surface microlayer (SML) at the air-sea interface is a distinct, under-studied habitat compared to the subsurface and copepods, important components of ocean food webs, have developed key adaptations to exploit this niche. By using automated SML sampling, high-throughput sequencing and unmanned aerial vehicles, we report on the distribution and abundance of pontellid copepods in relation to the unique biophysicochemical signature of the SML. We found copepods in the SML even during high exposure to sun-derived ultraviolet radiation and their abundance was significantly correlated to increased algal biomass. We additionally investigated the significance of the pontellids’ blue pigmentation and found that the reflectance peak of the blue pigment matched the water-leaving spectral radiance of the ocean surface. This feature could reduce high visibility at the air-sea boundary and potentially provide camouflage of copepods from their predators.

Introduction

The ocean-spanning sea-surface microlayer (SML) forms the boundary between atmosphere and hydrosphere. Despite having a thickness of <1 mm, the SML has profoundly different physicochemical and biological characteristics from the underlying water (ULW)1. The SML provides a biogenic gelatinous framework2 and is typically enriched with organic matter3, heterotrophic microorganisms4 as well as higher trophic level organisms5.

Among zooplankton taxa living within the SML, neustonic copepods (phylum Arthropoda, class Crustacea) of the family Pontellidae have been frequently recorded in tropical regions of all oceans6,7,8. The SML is regarded as a challenging or even extreme habitat because organisms are exposed to variable temperatures and high intensities of solar and ultraviolet (UV) radiation9. Copepods are the most abundant metazoans on Earth10 and show impressive short-term adaptation to environmental stressors, e.g. downregulation of the cellular heat stress response11. Given their major role in marine food webs and ecosystem functioning12, knowledge of the tolerance limits of copepods to abiotic factors is essential if we hope to make robust projections of the effects of global change on the world’s oceans. The effects of climate-driven warming (and acidification) on the SML ecosystem and neuston-dwelling copepods, although scarcely examined to date, may be particularly dramatic.

A feature of many pontellid copepods is their blue colouring, that also occurs in other surface-dwelling mesozooplankton13. The colouring results from a complex of the pigment astaxanthin and a carotenoprotein14. Astaxanthin can be produced from dietary sources and was found to be the principal carotenoid in four different blue-pigmented copepod genera as well as in Oikopleura dioica of the class Appendicularia indicating convergent evolution of the feature in different neuston inhabitants15. Various theories have been developed to explain the significance of the blue colouring in copepods, including protection from strong solar and/or UV radiation16,17, camouflage against visual predators that forage in the uppermost water layers13 as well as recognition of conspecifics when occurring together with copepods that possess a green fluorescent protein (GFP)-based coloration18.

In situ sampling was performed on the R/V Falkor in the tropical Pacific Ocean, northwest of the Bismarck Sea in October and November 2016 (Supplementary Fig. S1). During daylight hours over six days, the remotely-operated Sea Surface Scanner (S3)19 was used to collect paired samples from the SML (uppermost 1 mm) and ULW (1 m reference depth). The S3 employs rotating glass discs20 to collect organisms associated with the SML. In addition, conductivity (for calculations of salinity) and temperature within the SML as well as UV radiation in air (3 m above sea level) were recorded onboard the S3. Spectral absorption of the water surface was measured using an unmanned aerial vehicle (UAV) and compared to the reflectance peak derived from the blue pigment of the pontellids to further investigate the camouflage hypothesis.

Results and Discussion

Blue copepods (prosoma length of ~2 mm) collected with the S3 were counted and identified to the calanoid copepod family Pontellidae in subsamples from stations 11, 13, 14 and 17 (Supplementary Fig. S1). More precisely, Ivellopsis denticauda was found at station 11, whereas Pontella fera occurred at stations 13, 14, 17 (Supplementary Fig. S1). Besides the blue pontellids no other copepods were observed in both SML and ULW samples. Neustonic copepods were previously found to be enriched (10–100x) in the uppermost 0–5 cm layer of the ocean, compared to the ULW21. Using the S3 we found higher abundance of pontellids in the SML (the uppermost 1 mm) compared to the ULW at one meter (Fig. 1A). High-throughput sequencing of the total eukaryote 18S ribosomal RNA (rRNA) encoding genes on additional manually-collected SML and ULW samples confirmed predominant SML enrichment for the order Calanoida including the families Pontellidae and Paracalanidae, whereas different copepods of the order Cyclopoida were most prevalent in the ULW (Fig. 1B). Using BLAST analysis, we found that operational taxonomic units (OTUs) from SML samples shared high identity with the blue pontellids Pontella fera (100%) and Anomalocera patersoni (97%) at two stations (Supplementary Table S1). Due to the lack of reference sequences for copepod species in the Genbank and SILVA database, the true copepod community composition could not be reliably determined. While Anomalocera patersoni (97%) was the closest hit in the database, morphological analysis indicating presence of Ivellopsis denticauda might provide the better estimate for the true identity of the species. Although pontellids were previously noted in the SML via sampling with a Nytex screen3 or by sampling of the upper 10 cm using a neuston catamaran8, this is the first study to link their enrichment at the immediate air-sea boundary with physical characteristics, i.e., salinity and temperature of the SML measured during sampling and with the availability of food, i.e. chlorophyll a (chl a) as an indicator for autotrophic biomass.

Figure 1
Figure 1

Copepod distribution at the air-sea boundary. (A) Mean (±standard deviation) of whole pontellid copepods L−1 in SML and ULW. (B) Number of reads per OTU assigned for different copepod orders and families from SML and ULW (1 m depth). Stations as in (A). N.d. = not determined, SML = sea-surface microlayer, ULW = underlying water, OTU = operational taxonomic unit, St = Station.

When data were pooled across all five days and stations containing pontellids in the SML (Fig. 1A), the peak abundance occurred at 30.7 °C and a salinity of 33.8 (Supplementary Fig. S2). SML and ULW temperature and salinity were significantly different from each other at most stations (Supplementary Fig. S3a,b, Supplementary Table S2). However, neither SML temperature nor salinity being recorded simultaneously to copepod sampling were significantly correlated to copepod abundance in SML samples (Supplementary Fig. S4a,b, Supplementary Table S3). Previous studies on Pontella fera in the South Pacific reported increased abundance in waters >28.5 °C and at salinity <34.522, and that this species can be abundant in surface waters during daytime7. Our data on copepod presence in the SML match the known abiotic preferences (Supplementary Fig. S2). Compared to the ULW, our data indicate that the SML was often more saline (mean ± standard deviation (STD) difference = 0.3 ± 0.5, n = 95) likely due to evaporation and also colder (mean ± STD difference = −0.3 ± 0.2 °C, n = 108), likely due to its heat flux23 producing a “cool skin effect”. Due to the given profiles of temperature and salinity, the SML is denser compared to the ULW, but its stability and buoyancy is retained by the forces of interfacial tension between SML and ULW and by the surface tension of the SML. These physical characteristics of the SML support the establishment of a unique set of organisms24 and may be especially advantageous to survival in the tropics. For instance, only at station 16 SML temperature was higher than its ULW counterpart (Supplementary Fig. S3a) and only at this station blue copepods were absent from the SML (Fig. 1A,B).

Additional advantages of living at the immediate air-sea interface include the ability to escape predation by leaping out of the water25,26 and the ability to reduce energy costs for routine locomotion in this physically stable niche. Surface tension and light availability also favor enrichment of autotrophic biomass (chl a) in the SML over ULW. Chl a concentration was not significantly different between SML and ULW over all stations (Supplementary Table S4, Supplementary Fig. S5, Mann-Whitney-U-test, U value = 103, p = 0.16, n = 17), however its enrichment in the SML over ULW was positively and significantly correlated with blue copepod abundance in the SML (Fig. 2, Spearman rank correlation coefficient = 0.70, p = 0.0017, n = 17). High enrichment of chl a -bearing microalgae in the SML over ULW supports suspension feeding by calanoids and, thus, might explain the preference of pontellid copepods to inhabit the SML. It should be noted that enrichment factors (EF) in this dataset (Fig. 2) are even underestimated, because samples for chl a originated from the same bottles copepods were counted from, meaning that algal biomass in these samples was already depleted by copepod grazing.

Figure 2
Figure 2

Pontellid abundance in relation to autotrophic biomass. Number of pontellid copepods in SML versus enrichment factor (EF) for chlorophyll a (chl a), i.e. the ratio of chl a concentration in SML over ULW for individual sampling bottles pooled across all stations except for station 14 (no chl a readings).

Hyperspectral imaging of the reflectance spectra of the copepod pigment and of the ocean surface water-leaving radiance measured from the UAV are shown in Fig. 3. The spectral peak of the copepod pigment, measured directly after SML sampling, was 466.8 to 468.7 nm with a bandwidth of roughly 455.6 to 479.8 nm. The sharp, narrow spectral peak of the copepod pigment is in striking contrast to the broad absorption spectrum of water-extracted solutions of this blue pigment reported by Herring16. The reflectance peak of the copepod pigment measured onboard the R/V Falkor lies within the maximum water-leaving radiance spectrum from the ocean surface. The astaxanthin pigment in these copepods, thus, might provide effective camouflage, potentially reducing risks of visual detection by predators in the SML and/or the ULW13. While pigmented copepods generally experience a higher predation risk compared to transparent individuals27, some blue copepods such as Pontella mimocerami can additionally exhibit green fluorescence serving a potential role in counter-shading, a mechanism being analogous to bioluminescence28. This might in turn aid the crustaceans to escape predation during the night, e.g. during diel vertical migration. Whether the pontellids we observed at the air-sea interface in the open ocean also expressed GFP-like proteins remains however to be determined.

Figure 3
Figure 3

Reflectance spectrum of ocean surface and pontellid copepods. The water-leaving spectral radiance of the ocean surface measured by a hyperspectral visible imaging spectrometer aboard the ship-deployed unmanned aerial vehicle (UAV, upper picture) flying over the S3 during the sampling of the pontellid copepods (lower picture). The same hyperspectral visible imaging spectrometer was used in the R/V Falkor’s laboratory to measure the reflectance spectrum of copepod pigments.

Moreover, the carotenoid pigment appears to provide protection against UV radiation29 by holding antioxidant properties and scavenging reactive oxygen species17. The abundance of copepods collected with the S3 seemed unrelated to an index of UV irradiance, i.e. pontellids remained present in the SML at very high UV index values (i.e. ≥10, Supplementary Fig. S6) and no enhanced mortality, i.e. increased numbers of carcasses could be observed in our samples being in contrast to other recent findings30. Apart from surface avoidance behavior, a typical response of copepods to UV stress31, and possessing sun screening carotenoids such as astaxanthin, emerging work has shown that UV-protective mycosporine-like amino acids (MAA) have an important role in UV protection of near-surface (top 50 cm) zooplankton communities32. Whether pontellid copepods inhabiting the SML rely on MAA in addition to their carotenoid-protein-complex still remains to be determined. At least, the SML and therein accumulating algal biomass might provide a good basis for maintaining both strategies of photo-protection because the synthesis of carotenoids, e.g. astaxanthin from β-carotene, and MAAs is dependent on the availability of algal precursor molecules15,33. While recent work has shown that not only UV radiation and fish predation can affect copepod pigmentation, stress responses expressed by colouring can also vary between sex and life-stage of the copepod34 which we could however not consider in the given study.

Pontellid copepods have a unique life history strategy in the tropical ocean shaped by their ability to tolerate and exploit a prey-rich and slightly cooler SML environment of high physical stability. While being inhospitable to most other meso-zooplankton, pontellids most likely benefit from their pigmentation and adaptive behavior25,35 to cope with the disadvantages of high visibility and increased solar and UV radiation at the air-sea interface.

Methods

Copepod sampling via the S3

Copepods were collected by the S319 over a distance of 5–7 km, with an average sampling speed of 2 km h−1 at a minimum distance of 100 m from the R/V Falkor. Special neuston nets can collect organisms in the 0–5 cm layer36 but, as only the hydrophobic SML adheres to the glass discs, the S3 can collect copepods exclusively from the uppermost 1 mm. Sampled volumes are shown in Supplementary Table S5. Copepod subsamples from most stations were later identified by light microscopy (Supplementary Table S6). Water from 1 m was pumped up by the S3 for reference purposes. Twelve pairs of 1-L bottles were filled with SML and ULW samples during each sampling day, and each bottle filling took approximately 2–3 minutes. Operation of the S3 was between 11 pm and 7 am UTC time, which corresponds to local daytime. Temperature, conductivity and UV index were measured onboard the S3 as previously described19. Salinity was computed from the conductivity and temperature data using algorithms of the fundamental properties of seawater37. Measurements of temperature and salinity were taken from the sensor measurements onboard the S3 conducted at the same time copepods were sampled. At station 16 salinity from the ULW was not properly recorded due to sensor issues and thus omitted from the data set. The UV index was measured on the mast of the S3, approximately 3 m above the sea surface, and ranged from 0 to 11 (an index of 10 is equal to an Erythemal Action Spectrum (EAS) weighted irradiance of 0.25 W m−2).

Chlorophyll a analysis

Water from random SML and ULW pairs of 1-L bottles was taken for discrete chlorophyll a analysis. The fluorometer (JENWAY 6285, Bibby Scientific Ltd., UK) was calibrated before measurements. Readings on standards were taken by using pure chl a extracted from spinach (Sigma Aldrich, Germany). Water samples (600–800 mL) were filtered immediately onto glass microfiber filters (GF/F, diameter: 25 mm, Whatman, UK) and were stored at −20 °C for further analysis for up to 4 weeks. The filtered samples were then extracted in 3 mL of 90% ethanol solution for 24 hours and in dark condition, before being measured fluorometrically according to the EPA Method 445.038. The enrichment factor (EF) gives the ratio of the chl a concentration in the SML to its ULW counterpart from paired sampling bottles (SML and ULW) derived from stations 11 (n = 3), 13 (n = 2), 15 (n = 3), 16 (n = 1), and 17 (n = 8). An EF >1 indicates an enrichment of chl a within the SML, whereas EF < 1 means a depletion.

High-throughput sequencing

In addition, manual glass plate sampling39 from a small boat and Illumina MiSeq sequencing on the 18S rRNA gene was used to determine the copepod community composition. Sampling was performed shortly before and after S3 operation and the normalised abundance per operational taxonomic unit (OTU) pooled for each station 11, 13, 15, 16, 17. Seawater samples (500 mL) from the SML and ULW were filtered onto 0.2 µm cellulose nitrate membranes (Whatman, UK), and DNA was extracted using a commercially available DNeasy kit (Qiagen, UK). Primers used for targeting the V4 region of the 18S rRNA gene were 572 F and 1009R40. 18S rRNA encoding gene library preparation and sequencing were performed at the Integrated Microbiome Resource (IMR) at the Centre for Comparative Genomics and Evolutionary Bioinformatics (CGEB), Dalhousie University as previously conducted41. Sequences were processed in QIIME v1.9.142 and USEARCH v943 as described elsewhere44. OTUs assigned as Copepoda (SILVA 128 database) were filtered from the 18S rRNA data set. Phylogenetic affiliations were determined using the Basic Local Alignment Search Tool (https://blast.ncbi.nlm.nih.gov/Blast.cgi).

UAV operation and spectral analyses

During the cruise, unmanned aerial vehicles (UAVs, Latitude Engineering model HQ-60) were flown. They carried a down-looking Headwall Photonics model Micro-Hyperspec A-Series VNIR hyperspectral visible (400–1000 nm) imaging spectrometer with better than 3 nm spectral resolution for water-leaving spectral radiance measurements to determine ocean color and biogeochemical mapping. The spectrometer measurements from the UAV were performed directly over the ocean surface sampled by the S3, and the open ocean spectrum in Fig. 3 is an average over 1 km or 1800 spectra. The same hyperspectral imaging spectrometer was used in the R/V’s laboratory to measure copepod pigments on homogenate of six crushed individuals. The copepod mixture was prepared on a glass slide and illuminated by a diffuse white light source. For the copepod reflectance spectrum, we divided the average of 725 spectra of the copepod mixture by the source spectrum.

Statistical analysis

Non-parametric Spearman rank correlation analysis (two-tailed, 95% confidence level) for EF of chl a, temperature and salinity versus copepod abundance in SML was performed. Chl a, temperature and salinity differences between SML and ULW were analyzed by means of a two-tailed Mann-Whitney U test. A non-parametric approach was chosen due to the limited number of observations that made it difficult to assess normality and homoscedasticity of the data. All analyses were carried out using GraphPad Prism (v5.00 GraphPad Software, San Diego CA, USA).

Data availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

Additional information

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Acknowledgements

We thank the cruise chief scientist Oliver Wurl, the captain and crew members of the R/V Falkor (cruise FK161010) and Lea Oeljeschläger for assistance with copepod counting. We thank Justin Armer, Scott Bowers, and Joe McDaniel of the Latitude Engineering flight crew for piloting the UAVs aboard the R/V Falkor. This work was funded by the European Research Council (ERC) project PASSME (grant number GA336408). C.J.Z. and S.M.B. acknowledge funding by the Schmidt Ocean Institute (Award Number: SOI CU16-2285). This is Lamont-Doherty Earth Observatory contribution number 8233. M.C. acknowledges funding through a MBA Research Fellowship and K.B. was awarded a Natural Environment Research Council (NERC) EnvEast Doctoral Training Partnership PhD studentship. K.M. was funded by the PhD program EcoMol (awarded by Lower Saxony, Germany). We thank the editor and the two anonymous reviewers for the constructive and valuable feedback on our manuscript.

Author information

Author notes

    • Janina Rahlff

    Present address: Group for Aquatic Microbial Ecology (GAME), University of Duisburg-Essen, Campus Essen-Biofilm Centre, Essen, Germany

Affiliations

  1. Institute for Chemistry and Biology of the Marine Environment (ICBM), Carl von Ossietzky University Oldenburg, Schleusenstraße 1, 26382, Wilhelmshaven, Germany

    • Janina Rahlff
    • , Mariana Ribas-Ribas
    • , Nur Ili Hamizah Mustaffa
    •  & Katharina Melkonian
  2. Lamont-Doherty Earth Observatory, Columbia University, Palisades, New York, 10964, USA

    • Scott M. Brown
    •  & Christopher J. Zappa
  3. German Centre for Marine Biodiversity Research, Senckenberg am Meer, Martin-Luther-King Platz 3, 20146, Hamburg, Germany

    • Jasmin Renz
  4. Center for Earth System Research and Sustainability (CEN), University of Hamburg, Olbersweg 24, 22767, Hamburg, Germany

    • Myron A. Peck
  5. Marine Biological Association of the United Kingdom, Plymouth, PL1 2PB, UK

    • Kimberley Bird
    •  & Michael Cunliffe

Authors

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Contributions

J.R.1 (the corresponding author) contributed to copepod handling, data analysis and first draft writing; C.J.Z. and S.M.B. were responsible spectral analyses and UAV operation; M.R.R. and N.I.H.M. contributed to S3 data collection and N.I.H.M. and K.M. additionally to chlorophyll measurements and analyses; J.R.2 contributed to taxonomic analysis; K.B. and M.C. provided copepod sequence data. J.R.1, M.A.P. and C.J.Z. contributed to the idea and concept of the manuscript. All Authors contributed to manuscript discussion and writing.

Competing Interests

The authors declare no competing interests.

Corresponding authors

Correspondence to Janina Rahlff or Mariana Ribas-Ribas.

Electronic supplementary material

About this article

Publication history

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DOI

https://doi.org/10.1038/s41598-018-29869-7

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