Ecology of Echinodermata in the Clarion-Clipperton-Fracture Zone (Central Pacific)

preprint OA: closed
📄 Open PDF Full text JSON View at publisher
Full text 95,372 characters · extracted from preprint-html · click to expand
Ecology of Echinodermata in the Clarion-Clipperton-Fracture Zone (Central Pacific) | bioRxiv /* */ /* */ <!-- <!-- /*! * yepnope1.5.4 * (c) WTFPL, GPLv2 */ (function(a,b,c){function d(a){return"[object Function]"==o.call(a)}function e(a){return"string"==typeof a}function f(){}function g(a){return!a||"loaded"==a||"complete"==a||"uninitialized"==a}function h(){var a=p.shift();q=1,a?a.t?m(function(){("c"==a.t?B.injectCss:B.injectJs)(a.s,0,a.a,a.x,a.e,1)},0):(a(),h()):q=0}function i(a,c,d,e,f,i,j){function k(b){if(!o&&g(l.readyState)&&(u.r=o=1,!q&&h(),l.onload=l.onreadystatechange=null,b)){"img"!=a&&m(function(){t.removeChild(l)},50);for(var d in y[c])y[c].hasOwnProperty(d)&&y[c][d].onload()}}var j=j||B.errorTimeout,l=b.createElement(a),o=0,r=0,u={t:d,s:c,e:f,a:i,x:j};1===y[c]&&(r=1,y[c]=[]),"object"==a?l.data=c:(l.src=c,l.type=a),l.width=l.height="0",l.onerror=l.onload=l.onreadystatechange=function(){k.call(this,r)},p.splice(e,0,u),"img"!=a&&(r||2===y[c]?(t.insertBefore(l,s?null:n),m(k,j)):y[c].push(l))}function j(a,b,c,d,f){return q=0,b=b||"j",e(a)?i("c"==b?v:u,a,b,this.i++,c,d,f):(p.splice(this.i++,0,a),1==p.length&&h()),this}function k(){var a=B;return a.loader={load:j,i:0},a}var l=b.documentElement,m=a.setTimeout,n=b.getElementsByTagName("script")[0],o={}.toString,p=[],q=0,r="MozAppearance"in l.style,s=r&&!!b.createRange().compareNode,t=s?l:n.parentNode,l=a.opera&&"[object Opera]"==o.call(a.opera),l=!!b.attachEvent&&!l,u=r?"object":l?"script":"img",v=l?"script":u,w=Array.isArray||function(a){return"[object Array]"==o.call(a)},x=[],y={},z={timeout:function(a,b){return b.length&&(a.timeout=b[0]),a}},A,B;B=function(a){function b(a){var a=a.split("!"),b=x.length,c=a.pop(),d=a.length,c={url:c,origUrl:c,prefixes:a},e,f,g;for(f=0;f<d;f++)g=a[f].split("="),(e=z[g.shift()])&&(c=e(c,g));for(f=0;f<b;f++)c=x[f](c);return c}function g(a,e,f,g,h){var i=b(a),j=i.autoCallback;i.url.split(".").pop().split("?").shift(),i.bypass||(e&&(e=d(e)?e:e[a]||e[g]||e[a.split("/").pop().split("?")[0]]),i.instead?i.instead(a,e,f,g,h):(y[i.url]?i.noexec=!0:y[i.url]=1,f.load(i.url,i.forceCSS||!i.forceJS&&"css"==i.url.split(".").pop().split("?").shift()?"c":c,i.noexec,i.attrs,i.timeout),(d(e)||d(j))&&f.load(function(){k(),e&&e(i.origUrl,h,g),j&&j(i.origUrl,h,g),y[i.url]=2})))}function h(a,b){function c(a,c){if(a){if(e(a))c||(j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}),g(a,j,b,0,h);else if(Object(a)===a)for(n in m=function(){var b=0,c;for(c in a)a.hasOwnProperty(c)&&b++;return b}(),a)a.hasOwnProperty(n)&&(!c&&!--m&&(d(j)?j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}:j[n]=function(a){return function(){var b=[].slice.call(arguments);a&&a.apply(this,b),l()}}(k[n])),g(a[n],j,b,n,h))}else!c&&l()}var h=!!a.test,i=a.load||a.both,j=a.callback||f,k=j,l=a.complete||f,m,n;c(h?a.yep:a.nope,!!i),i&&c(i)}var i,j,l=this.yepnope.loader;if(e(a))g(a,0,l,0);else if(w(a))for(i=0;i (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0];var j=d.createElement(s);var dl=l!='dataLayer'?'&l='+l:'';j.src='//www.googletagmanager.com/gtm.js?id='+i+dl;j.type='text/javascript';j.async=true;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-M677548'); Skip to main content Home About Submit ALERTS / RSS Search for this keyword Advanced Search New Results Ecology of Echinodermata in the Clarion-Clipperton-Fracture Zone (Central Pacific) View ORCID Profile Tanja Stratmann , View ORCID Profile Erik Simon-Lledó , View ORCID Profile Marcel T. J. van der Meer , View ORCID Profile Magdalini Christodoulou , View ORCID Profile Sven Rossel , View ORCID Profile Ana Colaço doi: https://doi.org/10.1101/2025.06.22.660910 Tanja Stratmann 1 Department of Earth Sciences, Faculty of Geosciences, Utrecht University , Vening Meineszgebouw A, Princetonlaan 8a, 3584 CB Utrecht, The Netherlands 2 Department of Ocean Systems, NIOZ – Royal Netherlands Institute for Sea Research , Landsdiep 4, 1797 SZ ‘t Horntje (Texel), The Netherlands Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Tanja Stratmann For correspondence: t.stratmann{at}uu.nl Erik Simon-Lledó 3 Instituto de Ciències del Mar (ICM) – CSIC, Passeig Marítim de la Barceloneta , 37-49, 08003 Barcelona, Spain Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Erik Simon-Lledó Marcel T. J. van der Meer 4 Department of Marine Microbiology and Biogeochemistry, NIOZ – Royal Netherlands Institute for Sea Research , Landsdiep 4, 1797 SZ ‘t Horntje (Texel), The Netherlands Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Marcel T. J. van der Meer Magdalini Christodoulou 5 Biodiversity Center Upper Austria, OÖ Landes-Kultur GmbH , Johann-Wilhelm-Klein-Straße 73, 4040 Linz, Austria Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Magdalini Christodoulou Sven Rossel 6 Senckenberg am Meer, German Centre for Marine Biodiversity Research (DZMB) , Südstrand 20, 26382 Wilhelmshaven, Germany Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Sven Rossel Ana Colaço 7 University of the Azores, Institute of Marine Sciences – OKEANOS, Rua Professor Doutor Frederico Machado 4 , 9900-140 Horta, Portugal Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Ana Colaço Abstract Full Text Info/History Metrics Preview PDF Abstract Abyssal seascapes between 3,000 and 6000 m water depth represent over 50% of the Planet’s surface, but the species, functions, and particularly the life history traits that these ecosystems harbour remain poorly understood. Brittle stars (Ophiuroidea) contribute about one third to the invertebrate megabenthos assemblage between 3,800 m and 4,800 m water depth in the Clarion-Clipperton Fracture Zone (CCZ, Northeast Pacific). Starfishes (Asteroidea) are present in lower densities. In the CCZ, Ophiuroidea are often seen near Xenophyophoroidea and attached to glass sponge (Hexactinellida) stalks. We hypothesize that (1) the observed relationship between Ophiuroidea, Xenophyophoroidea, and Hexactinellida is a predator-prey relationship, where Ophiuroidea feed on foraminifera- and sponge-derived organic matter. (2) Ophiuroidea have a reduced dependency on fresh phytodetritus. (3) Brisingida (order of Asteroidea), often clings to stalks to have easier access to particulate organic matter sinking to the seafloor. To test these three hypotheses, we combined bulk and compound-specific stable isotope analyses of fauna (Ophiuroidea, Asteroidea) and sediments with the analyses of seafloor images from the eastern CCZ. Faunal specimens and sediments were collected during three research expeditions between 2019 and 2022, and previously collected seabed images were re-analysed to quantify the major behaviours in which Ophiuroidea and Asteroidea engage. All investigated Echinodermata species had a high trophic level. Phospholipid-derived fatty acids (PLFAs) used as biomarkers suggest that Silax daleus consumes sedimentary detritus that is processed by its gut microbiome. Ophiacantha cosmica is likely a top consumer or scavenger, Ophiosphalma glabrum is an opportunistic omnivore ingesting phytodetritus, bacteria, Crustacea, and Foraminifera, while Ophiuroglypha cf. polyacantha is a more selective omnivore. Freyella benthophila sits mostly on stalks of Hexactinellida and uses this elevated position to catch phytodetritus and zooplankton. Freyastera cf. tuberculata , in comparison, sits mostly on polymetallic nodules from where it preys upon Crustacea moving on the sediment surface. This study confirmed the hypothesis that Ophiuroidea in the CCZ are less dependent on phytodetritus than Holothuroidea in the Peru Basin. It was confirmed that Ophiuroidea consume foraminifera- and sponge-derived organic matter, but Brisingida cling to stalks of Hexactinellida to prey upon Crustacea living in the benthic boundary layer. 1. Introduction Abyssal seascapes lay between 3,000 and 6,000 m water depth ( Smith et al., 2008 ) representing the largest ecosystem on Earth (306,595,900 km 2 area ( Harris et al., 2014 )) covering 54% of the planet’s surface ( Gage and Tyler, 1991 )) and 85% of the seafloor ( Harris et al., 2014 ). The best studied abyssal seascapes in the Pacific is the Clarion-Clipperton Fracture Zone (CCZ) between 0°N, 160°W and 23.5°N, 115°W ( International Seabed Authority, 2011 ), which is bound by the Clarion Fracture zone in the north and the Clipperton Fracture Zone in the south. The water depth in the CCZ ranges from about 4,300 to 4,500 m in the shallowest areas of the southeast and central east CCZ, to about 5,400 m in the deepest areas of the northwest CCZ close to Hawaii ( Washburn et al., 2021 ). The bottom water is characterized by temperatures of 1.3 to 2°C, salinities between 34.68 and 34.70, and dissolved oxygen (O 2 ) concentrations of 3.6 ml O 2 l -1 in the southeast CCZ to 4.1 ml O 2 l -1 in the northwest CCZ ( Washburn et al., 2021 ). The sediment consists of siliciclastic clay in the north and central CCZ and biogenic calcareous ooze in the south CCZ ( Dutkiewicz et al., 2015 ). Fresh org. C reaches the seafloor as particulate organic carbon (POC) with rates of 1 g C m -2 yr -1 in the northwest CCZ and 1.74 g C m -2 yr -1 in the southwest ( Washburn et al., 2021 ). POC flux in the east CCZ can reach up to 2 g C m -2 yr -1 ( Washburn et al., 2021 ). In large parts of the CCZ, polymetallic nodules, rock concretions of mostly manganese oxides and iron oxy-hydroxides ( Hein and Koschinsky, 2014 ), lay at the sediment surface with densities of 1.5 to 3 kg m -2 in the southern CCZ and ∼7.5 kg m -2 in the central east CCZ ( Washburn et al., 2021 ), where they provide hard substrate for epi- and infauna ( Goineau and Gooday, 2019 ; Gooday et al., 2020 , 2015 ; Kamenskaya et al., 2013 ; Lim et al., 2024 , 2017 ; Pape et al., 2021 ; Simon-Lledó et al., 2019b ; Stratmann et al., 2021 ; Vanreusel et al., 2016 ). The invertebrate megabenthos community (i.e., organisms visible on still images, size >1 cm) in the CCZ comprises of hundreds of morphotypes belonging to, at least, 13 different phyla ( Simon-Lledó et al., 2023a ). Their densities increase with decreasing water depth from (mean ± 95% confidence interval, CI ) 0.12 ( CI : 0.06 – 0.14) ind m -2 below 4,800 m to 0.87 ( CI : 0.31 – 1.42) ind m -2 above 4,300 m, while diversity (exponential Shannon index, e H’ ) decreases with water depth, from 32.7 ( CI : 22.7 – 42.3) effective taxa below 4,800 m to 21.7 ( CI : 13.6 – 30.4) in areas above 4,300 m depth ( Simon-Lledó et al., 2023b ). In the northeast CCZ, three distinct invertebrate megabenthos assemblages were detected that differ in their dominating taxa: Between 3,800 and 4,300 m water depth, the upper-abyssal assemblage is comprised mostly of Alcyonacea (30% relative abundance), Ophiuroidea (22%), Bryozoa (11%), and Demospongiae (7%), whereas the lower-abyssal assemblage between 4,800 to 5,300 m depth consists predominantly of Actiniaria (32%), Holothuroidea (13%), Hexactinellida (13%), and Antipatharia (6%) ( Simon-Lledó et al., 2023b ). The transitional assemblage at intermediate water depth (4,300 to 4,800 m depth) includes mostly Ophiuroidea (32%), Actinaria (19%), Alcyonacea (9%), and Hexactinellida (6%) ( Simon-Lledó et al., 2023b ). Overall, while Porifera and Arthropoda megafauna species depict wider distributions across these depth ecotones, Echinodermata and Cnidaria exhibit more restricted dispersal ranges across the CCZ ( Simon-Lledó et al., 2025 ). Ophiuroidea are very abundant in the CCZ with densities of ∼2,000 ind. ha -1 at upper-abyssal depth, ∼1,500 ind. ha -1 at intermediate depth, and 4,800 m depth ( Simon-Lledó et al., 2023b ). The species Ophiosphalma cf. glabrum (Lütken & Mortensen, 1899) is even among the ten most abundant taxa of each depth-dependent CCZ invertebrate megabenthos assemblage ( Simon-Lledó et al., 2023b ). Besides O. glabrum , at least 41 other Ophiuroidea species live in the eastern CCZ ( Christodoulou et al., 2020 ; Eichsteller et al., 2023 ). These species belong to phylogenetic lineages that fall into three categories based on branch length, with the oldest category including three multi-species clades that are over 70 Mio yr old ( Christodoulou et al., 2019 ). Asteroidea, in comparison, are less abundant in the CCZ with densities of 411 ind. ha -1 at upper-abyssal depth ( Uhlenkott et al., 2022 ), 36 ind. ha -1 at intermediate depth ( De Smet et al., 2021 ), and 1 ind. ha -1 at lower-abyssal depth ( Durden et al., 2021 ). Hence, they contribute only between 2.8% (upper-abyssal depth), 3.2% (intermediate depth), and 1.7% (lower-abyssal depth) to the CCZ invertebrate megabenthos density, even though the Asteroidea family Paxillosida fam. indet. is among the ten most abundant taxa of the transitional assemblage ( Simon-Lledó et al., 2023b ). In total, 23 different Asteroidea morphotypes have been reported from the CCZ ( Bribiesca-Contreras et al., 2022 ; Simon-Lledó et al., 2023b ). Thus, the Asteroidea richness is considerably lower than the Ophiuroidea biodiversity. Deep-sea Ophiuroidea often form close commensal relationships with habitat-providing invertebrate megabenthos: For example, in the Atacama Region (Northern Chile, Southeast Pacific) Ophiuroidea cling to the stalk of the Hexactinellida Caulophacus (Caulophacus) chilensis Reiswig & Araya, 2014 at 1,300 to, 1,800 m water depth, and they are associated with the Octocorallia Narella sp. between 1,800 and 2,000 m depth ( de Castro Manso et al., 2018 ). Further commensal associations between Ophiuroidea and Octocorallia are known from the tropical East Pacific (Exclusive Economic Zone of Columbia), where Callogorgia cf. galapagensis Cairns, 2018 hosts the Ophiuroidea Astrodia cf. excavata (Lütken & Mortensen, 1899) between 530 and 670 m water depth ( Mejía-Quintero et al., 2021 ). Astrodia excavata may actually spend its whole life cycle with its Octocorallia host ( Mejía-Quintero et al., 2021 ) and research from the western North Atlantic indicates that in some cases, Ophiuroidea age together with their Octocorallia hosts ( Mosher and Watling, 2009 ). When they are very small, the Ophiuroidea Ophiocreas oedipus Lyman, 1879 clings to the central stalk of the small Octocorallia Metallogorgia melanotrichos (Wright & Studer, 1889) and when the Octocorallia grows older, the Ophiuroidea moves higher up until it sits in the fully developed Octocorallia crown ( Mosher and Watling, 2009 ). In comparison, in the CCZ Ophiuroidea area often observed associated with Xenophyophoroidea ( Amon et al., 2016 ; Christodoulou et al., 2020 ) and attached to stalks of Hexactinellida ( Christodoulou et al., 2020 ). Deep-sea Ophiuroidea can have different feeding types or strategies, such as microphagous grazers, scavengers, predators, suspension feeders, or (unselective) omnivores/ opportunistic generalist. Microphagous grazers ingest mostly phytodetritus and a small fraction of sediment (e.g., Ophiuroglypha lymani (Ljungman, 1871)) ( Dahm, 1999 ). Scavengers ingest carcasses of e.g., Crustacea, together with a small fraction of phytodetritus and/ or sediment (e.g., O. lymani ) ( Dahm, 1999 ). Active predators prey upon various prey types and sizes, like Porifera, Ophiuroidea, Bivalvia, Polychaeta, small Crustacea, and/ or Foraminifera (e.g., Ophiosparte gigas Koehler, 1922), Ophiacantha bidentata (Bruzelius, 1805) ( Dearborn et al., 1996 ; Pearson and Gage, 1984 ), whereas suspension feeders catch zooplankton and resuspended (particulate) organic matter (P)OM out of the water column (e.g., Ophiactis abyssicola (M. Sars, 1861)) ( Pearson and Gage, 1984 ). Omnivores may feed selectively, but most omnivores seem to feed unselectively as opportunistic generalist on a variety of OM, depending on its availability (e.g., Ophiuroglypha irrorata irrorata (Lyman, 1878), Ophiomusa lymani (Wyville Thomson, 1873), Ophionotus victoriae Bell, 1902) ( Fratt and Dearborn, 1984 ; Pearson and Gage, 1984 ). Deep-sea Asteroidea show different behaviour depending on whether they belong to the order Brisingida or to other orders, such as Paxillosida or Valvatida. At abyssal depth, Paxillosida may leave impressions in the seafloor ( Durden et al., 2020 ; Miguez-Salas et al., 2024 ), while transiting quickly between feeding locations with average seafloor tracking rates of 81 to 110 cm 2 h -1 ( Durden et al., 2020 ). During feeding, this Asteroidea order may actively move in the sediment and prey upon sediment infauna (i.e., predatory/ scavenging feeding type) or it may push into the sediment to scope sediment or buried faecal material out into its mouth (i.e., sediment ingester) ( Howell et al., 2003 ; Miguez-Salas et al., 2024 ). Valvatida may be spongivorous like Tylaster willei Danielssen & Koren, 1881 predating upon Demospongiae Tetractinellida gen. indet. between 585 and 722 m at the Langseth Ridge (Arctic Ocean) ( Stratmann et al., 2022 ). In comparison, deep-sea Brisingida, which are mostly suspension feeders ( Howell et al., 2003 ), use rock outcrops or patches of Scleractinia Madrepora oculata Linnaeus, 1758 or Desmophyllum pertusum (Linnaeus, 1758) as pedestals in deep-water canyons of the Cantabrian Sea (Northeast Atlantic) ( Manjón-Cabeza et al., 2021 ). Brisingida can also live as epibiota on Octocorallia and in the Caribbean deep sea at 408 m depth, the Brisingida Novodinia antillensis (A.H. Clark, 1934) was observed attached to the Octocorallia Paramuricea sp. for 14 years ( Etnoyer et al., 2022 ). Hence, similar to Ophiuroidea, Brisingida can form long-lasting mutual relationships. In the CCZ, Brisingida may sit on the sediment or are attached to polymetallic nodules stretching their arms into the water, like Freyastera sp., Freyastera cf. tuberculata (Sladen, 1889), and Freyella cf. benthophila Sladen, 1889 ( Amon et al., 2017 ; Bribiesca-Contreras et al., 2022 ). They also cling to the stalk of dead or alive Hexactinellida ( Amon et al., 2017 ; Stratmann et al., 2021 ). In this study, we combined (compound-specific) stable isotope analyses of several Ophiuroidea and Asteroidea species with still image analyses of the CCZ seafloor to address the following hypotheses: (1) Ophiuroidea are more abundant in the CCZ than in the Peru Basin (Southeast Pacific), because they are less dependent on fresh phytodetritus. (2) Ophiuroidea are often associated with Xenophyophoroidea and Hexactinellida because they feed on foraminifera- and sponge-derived OM. (3) Brisingida cling to stalks to have an easier access to POM derived from surface waters. 2. Materials and methods 2.1 Sample collection During two research cruises to the German and Belgian exploration contract areas in the CCZ in 2019 (expedition SO268 aboard R/V Sonne ( Haeckel and Linke, 2021 )) and 2021 (expedition Mangan2021 aboard M/V Island Pride ( Vink et al., 2022 )), Echinodermata specimens ( n total = 34; Fig. S1) of the families Freyellidae (Asteroidea), Amphiuridae, Ophiopyrgidae, Ophiosphalmidae, and Ophiacanthidae (all Ophiuroidea) were collected opportunistically with the manipulators of remotely operated vehicles (ROV) Kiel 6000 (Geomar, Germany) and ROV HD14 (Ocean Infinity, Texas, USA) ( Table 1 ; Fig. 1 ). Further specimens were collected when retrieving a benthic chamber lander and a box corer. Due to opportunistic sampling and the associated logistic constraints, the collection of several species was unbalanced and limited to n = 1 or n = 2. Download figure Open in new tab Figure 1. (A) Map of the exploration contract areas (white dashed areas) and areas of particular environmental interest (APEIs; white squares) within the Clarion-Clipperton Fracture Zone (CCZ; white dashed polygon based on the working definition of the CCZ by ( Glover et al., 2015 )). The transparent yellow areas show APEIs 3 and 12 and exploration license contract areas where seabed imagery had been collected. The two red dots in panel A indicate the Belgian (GSR) and German (BGR) exploration contract areas. (B) Sampling sites in the Belgian exploration contract area. (C) Sampling sites in the German exploration contract area. Color code for panels B and C: Red = sampling site of Asteroidea, black = sediment sampling site, yellow = sampling site of Ophiuroidea. Copyright for shapefiles for the exploration contract areas and APEIs within the CCZ area: ©International Seabed Authority [2007-2020]. View this table: View inline View popup Table 1. Detailed information about sampling location, date, and species name of all collected Echinodermata. Aboard the vessels, the asteroid specimens were photographed, subsamples were taken for DNA barcoding, and the specimens were frozen at -20°C. Ophiuroid specimens collected in 2019 were photographed, the arms were separated from the disk for studies of reproduction ( Laming et al., 2021 ), subsample were taken for DNA barcoding, and the remaining arms were frozen at -20. In contrast, in 2021, ophiuroid specimens were photographed, subsamples were taken for DNA barcoding, and the otherwise intact specimens were frozen at -20°C. Sediment samples ( Fig. 1 ) were taken with a multicorer during research cruise SO295 aboard R/V Sonne in 2022 ( Haeckel et al., 2023 ). After retrieval of the multicorer on board, individual cores ( n = 5) were sliced in three sediment intervals (0 – 2 cm, 2 – 5 cm, 5 – 10 cm sediment layers). Each sediment interval was subsampled for post-cruise analyses of phytopigments, grain size, OM, and phospholipid-derived fatty acids (PLFAs), and stored frozen at -20°C (grain size, OM, PLFAs) and -80°C (phytopigments), respectively. 2.3 Still image survey The behaviour of upper-abyssal depth Echinodermata was recorded from observations captured in seabed imagery collected across multiple sites in the eastern CCZ (APEI 6, APEI 12, UK exploration contract areas, German exploration contract’s eastern subarea, and Tonga exploration contract’s subareas B, C, and D), as compiled in the Abyssal Pacific Seafloor Megafauna Atlas and Database ( Simon-Lledó et al., 2023a ). Using BIIGLE 2.0 ( Langenkämper et al., 2017 ), behaviours encountered (i.e., Echinodermata on the sediment ( Fig. 2A ), buried in the sediment ( Fig. 2B ), under a Xenophyophoroidea ( Fig. 2C ), under a polymetallic nodule ( Fig. 2D ), on Scleralcyonacea (class Octocorallia, phylum Cnidaria)/ Hexactinellida stalks ( Fig. 2E ), under a Hexactinellida ( Fig. 2F ), or on a polymetallic nodule ( Fig. 2G )) were counted for F. benthophila sp inc. (AST_053, 14 specimens), F. tuberculata sp inc. (AST_002, 73 specimens), O. glabrum sp inc. (OPH_010, 4699 specimens), and for another 5174 Ophiuroidea non-identifiable down to morphotype level. Download figure Open in new tab Figure 2. Drawings of the different behaviour types the Echinodermata in the eastern CCZ were engaged in: (A) Ophiuroidea on the sediment, (B) Ophiuroidea buried in the sediment, (C) Ophiuroidea under a Xenophyophoroidea, (D) Ophiuroidea under a polymetallic nodule, (E) Ophiuroidea clinging to a stalk, (F) Ophiuroidea under a Hexactinellida, (G) Ophiuroidea on a polymetallic nodule. Illustration prepared by Tanja Stratmann. 2.4 Processing of faunal and sediment samples 2.4.1 Species identification At Senckenberg am Meer (Wilhelmshaven, Germany), each Ophiuroidea and Asteroidea specimen was initially identified using reverse taxonomy (barcoding), followed by morphological verification. For this purpose, genomic DNA was extracted from arm tissue. DNA extractions were carried out using 30 μl chelex (InstaGene Matrix, Bio-Rad) for 50 min at 56°C, followed by a step at 96°C for 10 min ( Estoup et al., 1996 ). About 2 µl of the resulting DNA-extract was used as template DNA for PCR which was conducted using 12 µl AccuStart (2× PCR master mix, Quantabio), 7.5/9.5 μl molecular grade water, and 0.25/0.5 μl of each primer (20/10 pmol μl -1 ) in a total volume of 20/25 μl. The Ophiuroidea-specific forward primer LCOech1aF1 (5′-TTTTTTCTACTAAACACAAGGATATTGG-3′) ( Layton et al., 2016 ) with the universal reverse primer II: HCO2198 (5′-TAAACTTCAGGGTGACCAAAAAATCA-3′) ( Folmer et al., 1994 ) were used for the amplification. Amplification was carried out in a thermocycler with the following settings: Initial step at 94°C for 3 min, denaturation step at 94°C for 30 s, annealing at 43°C for 75 s, elongation at 72°C for 60 s, and a final elongation at 72°C for 3 min. Denaturation, annealing and elongation were carried out in 40 cycles. The success of all reactions was checked on a 1%-agarose gel; all PCR-products that produced a band were sent to Macrogen Europe (Amsterdam, Netherlands), for sequencing on an Applied Biosystems 3730XL sequencer. A negative control was used in all PCR runs. Resulting sequencing reads were assembled in Geneious R9 (version 9.1.7) and checked for contamination (e.g., bacteria, fungi) using the basic local alignment search tool (BLAST) ( Altschul et al., 1997 ). A list with all genbank accession codes for the identified specimens is presented in Table S1. 2.4.2 Bulk analyses In the laboratories of NIOZ-Texel (Den Hoorn, Texel, Netherlands) and of the University of the Azores (Horta, Portugal), Echinodermata and sediment samples were freeze-dried and ground to fine powder with mortar and pestle. Total C (TC), total N (TN), δ 13 TC, and δ 15 TN contents of Echinodermata and sediments were measured in not acidified samples with a Thermo Flash EA 1112 elemental analyzer (EA; Thermo Fisher Scientific, USA) coupled to a DELTA V Advantage Isotope Ratio Mass Spectrometer (IRMS; Thermo Fisher Scientific) at NIOZ-EDS (Yerseke, Netherlands). Organic C and δ 13 org. C content of Echinodermata and sediments were measured with the same EA-IRMS after sample acidification with 20 µl 2% HCl. δ 13 C and δ 15 N data were normalized against the isotope reference materials USGS40 ( Qi et al., 2003 ) and USGS41a ( Qi et al., 2016 ) as described in ( Sharp, 2017 ). The stable isotope data are presented in δ notation relative to Vienna Pee Dee Belemnite (VPDB; δ 13 C) and air (δ 15 N), respectively. Particle sizes of freeze-dried, sieved (<1 mm) sediment was measured by laser diffraction in a Malvern Mastersizer 2000 (Malvern Instruments, UK). Phytopigments were extracted from ∼1.5 g dry mass (DM) freeze-dried sediment with 10 ml 90% acetone + β-Apo-8′-carotenal (APO) as described in ( Rios-Yunes et al., 2023 ). Pigment concentrations (in µg g -1 DM sediment) were measured via a high-performance liquid chromatography (HPLC) with a LC-04 (Shimadzu Co., Japan) using a Waters C8 column (length: 150 mm, inner diameter: 4.6 mm, particle size: 3.5 µm, pore size: 0.01 µm; Waters Corporation, USA) connected to a Symmetry C8 Sentry Guard Cartridge (length: 20 mm, inner diameter: 3.9 mm, particle size: 5 μm, pore size: 100 Å; Waters Corporation) following the approach by ( Zapata et al., 2000 ). 2.4.3 Fatty acid analyses At NIOZ-Texel, PLFAs from freeze-dried Echinodermata powder (∼0.03 – 0.07 g DM) and freeze-dried ground sediment (1.9 – 3.2 g DM) were extracted following a modified version of the Bligh and Dyer extraction ( Bligh and Dyer, 1959 ; Boschker, 2008 ) as described in detail in ( Stratmann et al., 2023 ), though chloroform had been replaced by dichloromethane (DCM). In brief, total lipids were extracted with the Bligh & Dyer extraction and fractionated into different lipid classes over a silicic-acid column. The PLFAs dissolved in the DCM fraction were derivatized into fatty acid methyl esters (FAMEs) via mild alkaline transmethylation and FAMEs were separated on a BPX70 column (length: 50 m length, inner diameter: 0.32 mm, film thickness: 0.25 μm; SGE Analytical Science, Australia) as described in detail in ( Stratmann et al., 2024 ). C concentration of individual FAMEs (in µmol C-PLFA g -1 DM sediment) and their δ 13 C VPDB values (in ‰) were measured on a Delta V Advantage IRMS (Thermo Scientific, USA) coupled to a Trace 1310 GC (Thermo Scientific) with a Isolink II interface coupled to a Conflo IV (Thermo Scientific). Only those fatty acids were considered, that were present in at least 25% of the sediment samples or 15% of the Echinodermata specimens. A list with fatty acids that can serve as biomarkers is presented in Table 2 . View this table: View inline View popup Table 2. Fatty acids used as biomarkers of potential food sources of Echinodermata from the Clarion-Clipperton Fracture Zone. Abbreviations: ARA = arachidonic acid (C20:4ω6), DHA = docosahexaenoic acid (C22:6ω3), EPA = eicosapentaenoic acid (C20:5ω3). 2.5 Data analyses Bacterial biomass ( BB ; µg C g -1 DM sediment) was calculated following ( Middelburg et al., 2000 ) as: where c bacterial PLFA is the concentration of the bacteria-specific PLFAs i -C14:0, i -C15:0, ai -C15:0, i -C16:0, and C18:1ω7, a is the average concentration of PLFAs in bacteria (i.e., 0.056 g C-PLFA g -1 C biomass), and b is the average fraction of bacteria-specific PLFAs to total PLFAs in sediments (i.e., 0.28) ( Middelburg et al., 2000 ). Trophic positions ( TP s) of the different Echinodermata species was estimated with the “oneBaseline” model of the package tRophicPosition (“Bayesian trophic position estimation with stable isotopes”; version 0.80) ( Quezada-Romegialli et al., 2018 ) in R (version 4.4.3) ( R-Core Team, 2025 ). This model calculates TP as follows: where δ 15 N consumer is the δ 15 value of the individual asteroid and ophiuroid species, δ 15 N baseline is the δ 15 value of the sediment averaged across all three layers, TDF N is the trophic discrimination factor for N (i.e., 3.4‰ ( Post, 2002 )), and λ is the trophic position of the sediment (i.e., 1.0). TPs were grouped into trophic levels ( TLs ) following ( Yunda-Guarin et al., 2022 ): TPs >1 and ≤2 are primary consumers (low TL ), TPs >2 and ≤3 are secondary consumers, such as omnivores (intermediate TL ), and TP >3 are top consumers and scavengers (high TL ). Corrected standard ellipse area ( SEA c ; ‰ 2 ) as proxy for isotopic niche width ( INW ) was calculated with the package SIBER (“Stable Isotope Bayesian Ellipses in R”; version 2.1.9) ( Jackson et al., 2011 ) in R . All data are presented as mean ± standard error (SE). 3. Results 3.1 Biogeochemical composition of sediment Sediments ( n = 5) in the eastern CCZ contained of 0.58 ± 0.04 % TC, 0.54 ± 0.05% org. C, and 0.11 ± 0.00% TN in the upper 2 cm of sediment, 0.51 ± 0.03% TC, 0.45 ± 0.04% org. C, and 0.10 ± 0.00% TN in the 2 to 5 cm layer, and 0.46 ± 0.03% TC, 0.38 ± 0.03% org. C, and 0.09 ± 0.00% TN in the 5 to 10 cm layer. The C/N ratio decreased from 5.59 ± 0.35 in the 0 to 2 cm layer to 4.75 ± 0.27 in the 5 to 10 cm layer. The sediment had δ 13 org C values of - 18.5 ± 0.29‰ (0 – 2 cm layer), -18.2 ± 0.08‰ (2 – 5 cm layer), and -18.3 ± 0.13‰ (5 – 10 cm layer) and δ 15 TN values of 12.3 ± 0.11‰ (0 – 2 cm layer), 12.4 ± 0.17‰ (2 – 5 cm layer), and 12.0 ± 0.18‰ (5 – 10 cm layer) ( Fig. 3 ). Download figure Open in new tab Figure 3. Isotopic composition of organic C (δ 13 org. C, ‰) and N (δ 15 N, ‰) of Echinodermata and sediment from the Clarion-Clipperton Fracture Zone. Error bars indicate 1 SE. Most of the sediment consisted of silt (<63 µm grain size fraction; 88.1 ± 1.61% in the 0 – 2 cm layer to 89.3 ± 1.08% in the 2 – 5 cm layer), followed by very fine sand (62.5 – 125 μm grain size fraction; 6.48 ± 0.73% in the 0 – 2 cm layer to 6.95 ± 0.89% in the 5 – 10 cm layer) and fine sand (125 – 250 μm grain size fraction; 3.10 ± 0.46% in the 5 – 10 cm layer to 3.67 ± 0.51% in the 0 – 2 cm layer). The median grain size ranged from 7.24 ± 0.69 µm in the 5 – 10 cm layer to 9.11 ± 0.82 µm in the 0 – 2 cm layer. Phytopigment concentrations were below the detection limit (chlorophyll- a : <0.03 µg g -1 DM sediment, pheophytin: <0.2 µg g -1 DM sediment, alloxanthine: 0.01 µg g -1 DM sediment, diatoxanthin: <0.09 µg g -1 DM sediment) in any of the sediment layers. The surface sediment layer (0 – 2 cm) contained 0.48 ± 0.10 µmol C-PLFA g -1 DM sediment, whereas the 2 – 5 cm and 5 – 10 cm layers contained 0.36 ± 0.07 µmol C-PLFA g -1 DM sediment and 0.22 ± 0.07 µmol C-PLFA g -1 DM sediment. The PLFAs C16:0, C18:0, C18:1ω7, and C20:1ω9 cis contributed 79.4 ± 5.24% to the total PLFA concentration in the 0 – 2 cm layer, whereas C16:0, C18:0, and C20:4ω6 (arachidonic acid, ARA) contributed 72.7 ± 9.65% and 81.9 ± 9.63%, respectively, to the total PLFA concentrations in the 2 – 5 cm and 5 – 10 cm layers (Fig. S2A). BB was 9.65 ± 4.45 µg g -1 DM sediment in the 0 – 2 cm layer, 3.90 ± 2.11 µg g -1 DM sediment in the 2 – 5 cm layer, and 1.33 ± 0.96 µg g -1 DM sediment in the 5 – 10 cm layer. 3.2 Trophic position, trophic level, and isotopic niche width of Echinodermata Trophic positions of Echinodermata lay in the high trophic level range ( Table 3 ). Ophiosphalma glabrum (Lütken & Mortensen, 1899 had the lowest mean TP (3.0 ± 0.003), whereas Silax daleus (Lyman, 1879) had the highest mean TP (4.3 ± 0.04; Table 3 ). View this table: View inline View popup Download powerpoint Table 3. Trophic position ( TP ) and level ( TL ) of all Echinodermata species investigated in this study. Data are presented as mean ± SE. SEA c of O. glabrum was 9.39‰ 2 (95% CIs : 5.84 – 13.2‰ 2 ) and SEA c of O . cf. polyacantha was 37.5‰ 2 (95% CIs : 3.14 – 84.0‰ 2 ), and the two isotopic niches overlapped by 56.2%. 3.3 Biochemical composition of Echinodermata Asteroidea tissue contained 16.2 ± 2.88% TC, 8.41 ± 2.25% org. C, and 2.24 ± 0.54% TN ( n = 2) and Ophiuroidea tissue had 13.5 ± 1.49% TC, 2.92 ± 0.61% org. C, and 0.90 ± 0.22% TN ( n = 32). F. benthophila ( n = 1) and S. daleus ( n = 1) had the lowest TC (13.3 and 12.6%), org. C (6.16 and 2.07%), and TN (1.70 and 0.47%) contents in Asteroidea and Ophiuroidea, respectively, whereas F. cf. tuberculata ( n = 1) and O. glabrum ( n = 26) had the highest TC (19.0 and 13.6%), org. C (10.7 and 2.91%), and TN (2.79 and 0.91%) contents. Mean δ 13 TC-values of Asteroidea and Echinodermata were -11.0 ± 1.25 and -6.32 ± 0.85‰ [min: -12.3‰, F. cf. tuberculata ( n = 1), max: -5.86 ± 0.57‰, Ophiuroglypha cf. polyacantha ( n = 4)], mean δ 13 org. C-values were -17.7 ± 0.41 and -18.7 ± 0.80‰ [min: - 19.3‰, S. daleus ( n = 1), max: -17.3‰, F. benthophila ( n = 1)], and mean δ 15 N-values were +18.3 ± 0.16 and +16.1 ± 2.49‰ [min: +15.5‰, Ophiacantha cosmica Lyman, 1878 ( n = 1), max: +22.9‰, S. daleus (n = 1) ] ( Fig. 3 ). 3.4 Phospholipid-derived fatty acid composition of Echinodermata The PLFA composition ( Fig. 4A , Fig. S1B) of Echinodermata differed strongly between species. Between 31.8% ( F. cf. tuberculata ) and 69.1% ( F. benthophila ) of the PLFAs detected in Asteroidea and Ophiuroidea consisted of mono-unsaturated fatty acids (MUFA) (Fig. S1). The other PLFA classes found were saturated fatty acids (SFA; 41.1 ± 2.51%), branched-chain fatty acids (BCFA; 12.4 ± 1.67%), highly unsaturated fatty acids (HUFA, i.e., fatty acids with ≥4 double bonds; 5.03 ± 1.17%) and polyunsaturated fatty acids (PUFA, i.e., fatty acids with ≥2 double bonds; 4.29 ± 0.77%). Compared to the average PLFA composition across all Echinodermata investigated in this study, F. benthophila (6.74%) and S. daleus (25.9%) contained less SFA. Tissue of F. cf. tuberculata (2.71%) and O. cf. polyacantha (4.45%) consisted of less BCFA than the average Echinodermata, whereas F. benthophila tissue (16.8%) included more BCFA compared to the average Echinodermata. MUFA were present in higher percentages in F. benthophila (69.1%), O. cf. polyacantha (45.4%), and S. daleus (56.2%) compared to the average Echinodermata in this study, whereas O. glabrum (33.1%) and F. cf. tuberculata (31.8%) had a lower relative contribution. Download figure Open in new tab Figure 4. Contribution (%) of ( A ) individual phospholipid-derived fatty acid (PLFA) classes to the total concentration in Echinodermata and ( B ) of individual PLFA categories to total PLFA concentrations. Abbreviations of PLFA classes: BCFA, branched-chain fatty acids; HUFA, highly unsaturated fatty acids; MUFA, mono-unsaturated fatty acids; PUFA, polyunsaturated fatty acids; SFA, saturated fatty acid. Most PLFAs in the different Echinodermata were unspecific (range: 37.1 – 71.3%), followed by bacteria-specific PLFAs (range: 7.15 – 60.4%). Up to 27.6% of the PLFAs were zooplankton-derived and between 1.97% and 7.22% of the PLFAs originated from primary producers, like algae ( Fig. 4B ). The carnivory index was 0.00 for S. daleus ( n = 1), 0.74 for F. benthophila ( n = 1), 2.50 for F. cf. tuberculata ( n = 1), 1.53 ± 0.54 for O. cf. polyacantha ( n = 3), and 3.96 ± 1.05 for O. glabrum ( n = 16). Stable C isotope values (δ 13 C) of PLFAs across all investigated Echinodermata species ranged from -29.9‰ (5 th percentile) to -11.6‰ (95 th percentile) (mean ± SE: -23.6 ± 0.21‰; median: -23.5‰). When separated by species, F. benthophila had the most depleted PLFAs (mean ± SE: -25.8 ± 2.46‰; median: -23.1‰; 5 th – 95 th percentiles: -36.8‰ – -19.7‰ ) and S. daleus had the least depleted PLFAs (mean ± SE: -21.0 ± 0.74‰; median: -20.6‰; 5 th – 95 th percentiles: -25.4‰ – -19.0). The most depleted PLFAs were i -C14:0 (-37.1‰, n = 1 ) and C18:2ω6,9t (-36.2‰, n = 1 ) in F. benthophila and C20:3ω3,6,9c (mean ± SE: - 31.0 ± 2.83‰; median: -29.8‰) and ai -C15:0 (mean ± SE: -30.4 ± 4.00‰; median: -30.6‰) in O. glabrum ( Fig. 5 ). Download figure Open in new tab Figure 5. Isotopic composition (δ 13 org. C, ‰) of PLFAs in ( A ) O. glabrum ( n = 19) and ( B ) O. cf. polyacantha ( n = 3). PLFA presented in red are bacteria-specific PLFAs. 3.4 Behavior of Echinodermata based on still-image surveys A total of 9960 upper-abyssal depth Echinodermata were behaviourally classified into seven categories based on seabed imagery from the eastern CCZ ( Fig. 2 , Fig. 6 ). Ophiosphalma glabrum sp inc. (4699 specimens) and unidentified Ophiuroidea (5174 specimens) were markedly more abundant than the Asteroidea F. benthophila sp inc. (14 specimens) and F. tuberculata sp inc. (73 specimens). Download figure Open in new tab Figure 6. Types of behaviour that Echinodermata showed in the eastern CCZ. Freyella benthophila sp inc. showed a strong preference for occupying elevated positions, with 78.6% observed on stalks of Hexactinellida ( Fig. 6 ); surprisingly, F. benthophila sp inc. was never observed at Scleralcyonacea stalks. In comparison, F. tuberculata sp inc. was predominantly found on polymetallic nodules (89.0%; Fig. 6 ). The three F. tuberculata sp inc. specimens, that were observed clinging to a stalk, were all attached to Hyalonema sp. sp inc. (HEX_002, ( Simon-Lledó et al., 2023a )) and lived close-by in the BGR exploration license area. Ophiosphalma glabrum sp inc. exhibited more varied habits: 33.5% were found on sediment, 32.0% under Xenophyophoroidea, and 19.4% on polymetallic nodules ( Fig. 6 ). O. glabrum sp inc. observed clinging to stalks were mostly found attached to the base of the main branch of Scleralcyonacea stalks. Individual Ophiuroidea buried in sediment could not be identified to morphotype level owing to limited visibility, likely resulting in an underrepresentation of O. glabrum sp inc. in this category. Conversely, Ophiuroidea resting on the sediment surface could often be confidently assigned to OPH_010 ( Simon-Lledó et al., 2023a ), reducing the pool of unidentified specimens. Unidentified Ophiuroidea also showed behavioural diversity, with 40.7% under Xenophyophoroidea, 19.7% buried in sediment, and 16.1% under polymetallic nodules ( Fig. 6 ). Notably, a high proportion of unidentified Ophiuroidea at APEI 12 exhibited a burrowing behaviour, with 47.0% of non-identified specimens found with their bodies submerged in sediment, considerably higher than the 4 – 11% range observed across the other locations. Based on arm morphology, many of these specimens are suspected to be O. glabrum sp inc. Aside from this site-specific trend, no major spatial differences were observed in the relative proportions of behavioural categories across the region. Overall, behaviours involving concealment (under polymetallic nodules, Hexactinellida, or Xenophyophoroidea) were common, accounting for 53.2% of all Ophiuroidea records, particularly under giant Foraminifera, the most common behaviour recorded (36.6%). 4. Discussion The class Ophiuroidea is one of the dominant metazoan invertebrate megabenthos classes in the CCZ, but its ecological role is largely understudied. For instance, it is unknown why Ophiuroidea are almost five times more abundant than Holothuroidea at upper-abyssal depths in the CCZ ( Simon-Lledó et al., 2023b ), whereas both classes have relatively comparable densities in the Peru Basin (Ophiuroidea: 200 – 270 ind. ha -1 ( Simon-Lledó et al., 2019a ); Holothuroidea: 151 – 241 ind. ha -1 ( Stratmann et al., 2018c )). Reasons could be feeding and diet preferences of Ophiuroidea, and their behaviour. Here, we decipher feeding strategies and types of several Ophiuroidea and Asteroidea species and describe their behaviour to assess the research hypotheses that (1) Ophiuroidea in the CCZ are less dependent on fresh phytodetritus than Holothuroidea in the Peru Basin, that (2) Ophiuroidea feed foraminifera- and sponge-derived OM, and that (3) the members of the Asteroidea order Brisingida climb up the stalk of Hexactinellida to have easier access to POM from surface waters. 4.1 Diets of Ophiuroidea Information about Ophiuroidea feeding types or strategies may be obtained from gut content analyses (e.g., ( Dahm, 1999 ; Pearson and Gage, 1984 ), stable isotope analyses (e.g., ( Kharlamenko et al., 2013 ; Yang et al., 2020 )), and biomarker (i.e., PLFA) analyses (e.g., ( Drazen et al., 2008 )). Combined stable isotope and PLFA analyses unravelled the diet preferences and feeding types of four species Ophiuroidea from the CCZ. Silax daleus (family Amphiuridae) has an estimated trophic position of 4.3 which corresponds to the trophic level of top consumers or scavengers ( Yunda-Guarin et al., 2022 ). However, the PLFA extracted from the tissue of S. daleus suggest otherwise: A carnivory index of 0.00 implies this species is not a carnivore (i.e., predator or scavenger), and the dominance of bacteria-specific PLFAs (60.4% of total PLFA) and a -ratio of 0.28 (i.e., <1) indicate that S. daleus is a microphagous grazer grazing upon bacteria and dinoflagellate-derived phytodetritus. The bacteria could be sedimentary bacteria and/ or be part of the gut microbiome of S. daleus . Sedimentary bacteria in the upper 5 cm of sediment have a higher biomass in the eastern CCZ (Belgian exploration contract areas: 548 ± 274 mg C m -2 , German exploration contract areas: 413 ± 314 mg C m -2 , both this study; UK exploration contract areas: 277 ± 52 mg C m -2 – 530 ± 104 mg C m -2 ( Sweetman et al., 2019 )) than in the same sediment layer in the Peru Basin (294 ± 42 mg C m -2 ( Stratmann et al., 2018b )). Hence, S. daleus would have access to more bacteria than Ophiuroidea living in the Peru Basin, but the composition of bacteria-specific PLFAs in S. daleus tissue differs from the composition of these PLFAs in the sediment. The CCZ sediment only contained ( a ) i- C15:0, i -C16:0, and C18:1ω7 as bacteria-specific PLFAs (Table S2), whereas S. daleus tissue included additionally the bacteria-specific PLFAs ( a ) i -C17:0 (Table S3). As the latter PLFAs are lacking in the sediment, they likely originate from the Ophiuroidea microbiome. Unfortunately, we did not study the gut microbiome of any Ophiuroidea or Asteroidea specimens in this study, but ( Dong et al., 2021 ) showed that shallow-water Ophiuroidea (50 m water depth) from the Yellow Sea (Northwest Pacific) host 56 Bacteria phyla belonging to 596 genera in their gut. Therefore, we assume that S. daleus consumes sedimentary detritus which is processed by its gut microbiome, like the Holothuroidea species Benthodytes sp. or Mesothuria sp. in the Peru Basin ( Stratmann et al., 2023 ). Ophiacantha cosmica (family Ophiacanthidae) has an estimated trophic position of 3.6. Unfortunately, we lack the PLFA profile of this species to confirm the corresponding trophic level. Therefore, we tried to infer its potential feeding type from the PLFA profiles and gut content of other Ophiacantha species (i.e., Ophiacantha sp. and O. bidentata ). At the abyssal ‘Station M’ (Northeast Pacific), the PLFA composition of Ophiacantha sp. contains 24.3% PLFAs that are biomarkers for copepods and amphipods (C18:1ω9, C20:1ω9, C20:1ω11, C22:1ω11 ( Auel et al., 2002 ; Dalsgaard et al., 2003 ; Falk-Petersen et al., 1987 ; Kattner et al., 2012 )) ( Drazen et al., 2008 ). In comparison, at bathyal depth in the Rockall Trough (Northeast Atlantic), O. bidentata ingests Foraminifera, Polychaeta, Crustacea, and POM ( Pearson and Gage, 1984 ). Hence, O. cosmica in the CCZ is likely indeed a top consumer and/ or scavenger. Ophiosphalma glabrum (family Ophiosphalmidae) has an estimated trophic position of 3.0 which means it has an intermediate to high trophic level and could be an omnivore or top consumer/ scavenger. A predatory/ scavenging feeding strategy was confirmed by the carnivory index of 3.96 and by the presence of biomarkers for copepods, amphipods (i.e., C18:1ω9 cis / trans , C20:1ω9 cis ), and Foraminifera (i.e., ) which contribute 23.1% to total PLFAs. O. glabrum tissue also contains PLFAs that are biomarkers of primary producers (i.e., C16:1ω7, and EPA) and 16.3% of the PLFAs are bacteria-specific PLFAs. Hence, this Ophiuroidea species is in fact an omnivore ingesting diatom-derived phytodetritus ( ), bacteria, and prey or scavenges upon Crustacea and Foraminifera. Ophiuroglypha cf. polyacantha (family Ophiopyrgidae) has an estimated trophic position of 3.7 and therefore a high trophic level, which indicates O. cf. polyacantha might be an omnivore or top consumer/ scavenger. Since the biomarkers present in tissue of O. cf. polyacantha and O. glabrum are very similar (Table S3, Fig. 4B , Fig. S2), O. cf. polyacantha is also an omnivore consuming mostly zooplankton and Foraminifera, and to a lesser degree bacteria and diatom-derived phytodetritus. However, its INW is broader (37.5‰ 2 ) than the niche width of O. glabrum (9.39‰ 2 ). In the marine environment, a broader INW may be an indicator for a dietary specialist, whereas a dietary generalist may have a smaller INW ( Cummings et al., 2012 ). Isotopic niche width may also vary with spatial scale, whereupon at finer scale (20 km lag) ( Reddin et al., 2018 ). Thus, O. cf. polyacantha may be a more specialized omnivore than O. glabrum that is likely a more opportunistic/ general omnivore, and/ or O glabrum forages at a more confined spatial scale compared to O. cf. polyacantha . These results confirmed the hypothesis that Ophiuroidea in the CCZ are not very dependent on phytodetritus: The PLFA composition of all Ophiuroidea species investigated in this study contained less than 10% algae-specific PLFAs, whereas the Holothuroidea species from the Peru Basin that ( Stratmann et al., 2023 ) studied, contained on average 14.4 ± 2.77% (min: 0.09%, max: 41.4%) of these specific PLFAs. In fact, the authors identified two trophic groups of Holothuroidea and both groups had a diet that was more or less rich in phytodetritus. In contrast, the most abundant Ophiuroidea species in the eastern CCZ, O glabrum , is an opportunistic omnivore that feeds to a large portion Foraminifera and zooplankton. The latter could be bentho-pelagic zooplankton, but it is also possible that O glabrum scavenges (gelatinous) zooplankton carcasses that reach the abyssal seafloor stochastically during mass deposition events, like pyrosome carcasses in the Peru Basin ( Hoving et al., 2023 ) or carcasses of the red crab Grimothea planipes (Stimpson, 1860) in the CCZ (Simon[Lledó et al., 2023). Our diet analyses partly confirmed the hypothesis that Ophiuroidea consume foraminifera- and sponge-derived OM. While the PLFA profiles of O. glabrum and O. cf. polyacantha contained PLFAs typical for Foraminifera, no sponge-specific PLFAs were detected in any investigated Ophiuroidea (or Asteroidea) species. Hence, the 36.6% of Ophiuroidea specimens that resided partly below Xenophyophoroidea ( Fig. 2A ) prey either actively upon Xenophyophoroidea or they ingested detritus that these produced. Hiding of Ophiuroidea below Hexactinellida ( Fig. 2B ), however, is not directly linked to spongivory. 4.2 Diets of Asteroidea The order Brisingida has been studied in different oceans which allows us to assess population-specific differences in diets of F. benthophila . Freyella benthophila has an estimated trophic position of 4.0 which corresponds to a high trophic level, like a top consumer/ scavenger or omnivore. In fact, 20.5% of the PLFAs present in F. benthophila are biomarkers for zooplankton, whereas 7.22% of the PLFAs are algae-specific PLFAs. Based on the carnivory index of 0.74, this Asteroidea species likely ingests less consumers (e.g., Crustacea, Foraminifera) than the general omnivore O. glabrum . It is also possible that F. benthophila consumes more degraded, carrion-derived OM, such as detritus derived from Foraminifera, ( ) or faecal pellets from zooplankton ( Wilson et al., 2013 ). At the abyssal Porcupine Seabight (Northeast Atlantic), the suspension feeding Freyella elegans (Verrill, 1884) ingested almost exclusively copepods, and the large concentration of biomarkers for primary producers was interpreted to originate from phytodetritus that the copepods had ingested prior to being preyed upon by F. elegans ( Howell et al., 2003 ). F. benthophila in the eastern CCZ could also target copepods, that had fed mostly diatom-derived phytodetritus ( ), and pelagic Foraminifera while suspension feeding. Freyastera cf. tuberculata has an estimated trophic position of 4.0 indicating that this species may be a top consumer/ predator or omnivore. The high trophic level is confirmed by a carnivory index of 2.50 and the presence of the zooplankton biomarkers C18:1ω9 cis and C20:1ω9 cis that contribute 18.2% to total PLFAs. No Foraminifera biomarkers were detected in F. cf. tuberculata suggesting that this species captures selectively Crustacea when suspension feeding. 4.3 Behaviour of Echinodermata The behaviour of F. benthophila (clinging to Hexactinellida stalks) is in line with its feeding type, i.e., suspension feeder targeting (bentho-)pelagic zooplankton and phytodetritus. In fact, it is interesting that F. benthophila seems to only climbs up Porifera stalks and not Scleralcyonacea stalks. Deep-sea members of the class Octocorallia are carnivores and prey upon zooplankton ( Rodkina and Dautova, 2025 ), so not clinging to this taxonomic group, but to filter-feeding Hexactinellida indicates that F. benthophila may avoid direct competition for food. F. cf. tuberculata specimens were mostly sitting on top of polymetallic nodules, which, together with the results of the PLFA analyses, suggests, that this species preys less upon (bentho-) pelagic zooplankton and more upon Crustacea that ‘walk over the seafloor’ instead of swim. Overall, we could not confirm the hypothesis that Brisingida cling to Porifera stalks for easier access to POM. Instead, our results from diet and image analyses suggested that Brisingida adapted this behaviour because they prey upon copepods or other Crustacea living in the benthic boundary layer. The large behavioural diversity of O. glabrum matches its omnivorous feeding type. The most interesting observation, however, is the dominance of burial behaviour of unidentified Ophiuroidea (likely mostly O. glabrum specimens) at APEI 12, compared to the behaviour of (unidentified) Ophiuroidea living in other parts of the eastern CCZ. APEI 12 is the shallowest area investigated in this study (mean water depth: 3940 m ( Simon-Lledó et al., 2023b )) and lays above the carbonate compensation depth (CCD; ∼4400 to ∼4800 m water depth ( Berger et al., 1976 )). The CCD influences the species distribution and biogeography of benthic Foraminifera ( Gooday et al., 2021 ; Gooday and Jorissen, 2012 ), as calcareous Foraminifera have difficulties to maintain their tests at water depth below the CCD where the tests can dissolve ( Corliss and Honjo, 1981 ). Below the CCZ, the Foraminifera assemblage consists mostly of agglutinated Foraminifera and Foraminifera with organic walls ( Saidova, 1965 ) in ( Gooday and Jorissen, 2012 ) ( Shi et al., 2020 ). Though no data are available for Foraminifera species composition at APEI 12, it is very likely that calcareous Foraminifera are part of the sedimentary infauna at this site. Here, we propose that O. glabrum , which feeds on Foraminifera in the Belgian and German exploration contract areas, buries in the sediment at APEI 12 to prey upon calcareous Foraminifera, which are likely absent in the deeper areas of the eastern CCZ. As a result, a lower number of O. glabrum / non-identified Ophiuroidea specimens bury at the other investigated sites where the Foraminifera community may be different. This stresses the opportunistic feeding of O. glabrum that seems to ingest whatever is available and switches diets depending on where a specific specimen lives. 5. Conclusion Our study suggests that omnivorous Ophiuroidea may be more abundant at shallow-abyssal depth in the CCZ than deposit-feeding Holothuroidea, because they may outcompete Holothuroidea at feeding. The CCZ is more oligotrophic than the Peru Basin ( Jahnke, 1996 ) and receives less fresh phytodetritus (CCZ: chlorophyll- a and phaeopigment concentrations <detection limit, this study; Peru Basin: chlorophyll- a concentration: 0.09 μg ml -1 sediment, phaeopigment concentration: 0.23 μg ml -1 sediment ( Vonnahme et al., 2020 )). Hence, omnivores, like Ophiuroidea, that can opportunistically switch their diets and ingest less phytodetritus when this is sparsely available, have an advantage over more specialized deposit feeders, like Holothuroidea, that more selectively take up phytodetritus ( Hudson et al., 2003 ; Stratmann et al., 2023 , 2018b ; Wigham et al., 2003 ). In the Peru Basin, in comparison, where the density of Ophiuroidea and Holothuroidea is comparable, sufficient phytodetritus reaches the seafloor to support a relatively large biomass of Holothuroidea ( de Jonge et al., 2020 ; Stratmann et al., 2018c , 2018a ), and omnivorous Ophiuroidea can reduce competition for food by adjusting diet preferences based on food availability. Conflict of interest The authors declare no conflict of interest. Author contributions T Stratmann conceived the ideas and designed the methodology; T Stratmann and A Colaço collected Echinodermata specimens, and E Simon-Lledó collected and annotated the still images. M Christodoulou and S Rossel performed the molecular analyses for species identification, T Stratmann performed all biochemical analyses. T Stratmann and MTJ van der Meer processed all PLFA data. T Stratmann led the writing of the manuscript, all authors contributed critically to the drafts and gave their final approval for publication. Statement on inclusion The study was conducted in areas beyond national jurisdiction (‘the Area’) of the central Pacific. Therefore, no local partners were contacted and involved in this study, as no clear local partners exist. Data availability statement All data presented in this study are available at Pangaea (XX), on Genbank (XX), and are deposited in the barcode of life data system (BOLD) in the project ‘XX’. Acknowledgements We thank captain, crew, and chief scientists of the research expeditions SO268 (Dr. Peter Linke, Geomar, Germany) aboard R/V Sonne and Mangan2021 aboard M/V Island Pride (Dr. Annemiek Vink, BGR, Germany) for their excellent support at sea. We also acknowledge the invaluable help of the teams of ROV HD14 (Ocean Infinity, Austun, USA) and ROV Kiel 6000 (Geomar, Kiel, Germany). Jurian Brasser, Peter van Breugel (both NIOZ-EDS), Jort Ossebar, and Ronald van Bommel (both NIOZ-MMB) are thanked for technical assistance during sample processing. Research leading to these results has received funding from JPI Oceans—Ecological Aspects of Deep Sea Mining project under NWO-ALW grant 856.18.003. TS was further supported by the Dutch Research Council NWO (NWO-Rubicon grant no. 019.182EN.012, NWO-Talent program Veni grant no. VI.Veni.212.211, NWO Open Competition Domain Science – XS grant no. OCENW.XS24.2.193). ESL received funding from the Ramón y Cajal grant RyC2023-043275-I, funded by the MCIN/AEI/10.13039/501100011033 and the European Union Next Generation EU/PRTR. SV was funded through the 2020-2021 Biodiversa and Water JPI joint call for research projects, under the BiodivRestore ERA-NET Cofund (grant no. 101003777), with the EU and German Federal Ministry of Research (BMBF) (03LW0173). AC’s work received national funds through the FCT – Foundation for Science and Technology, I.P., under the project UIDB/05634/2025 and UIDP/05634/2025, and in the scope of the CEEC contract CEECIND/00101/2021. This is publication number XY of Senckenberg am Meer Metabarcoding and Molecular Laboratory. Funder Information Declared Dutch Research Council, https://ror.org/04jsz6e67 , 856.18.003 , 019.182EN.012 , VI.Veni.212.211 , OCENW.XS24.2.193 Agencia Estatal de Investigación , RyC2023-043275-I , MCIN/AEI/10.13039/501100011033 BiodivERsA , 101003777 Federal Ministry of Education and Research, https://ror.org/04pz7b180 , 03LW0173 Foundation for Science and Technology , UIDB/05634/2025 , UIDP/05634/2025 , CEECIND/00101/2021 References 1. ↵ Altschul , S.F. , Madden , T.L. , Schäffer , A.A. , Zhang , J. , Zhang , Z. , Miller , W. , Lipman , D.J ., 1997 . Gapped BLAST and PSI-BLAST: A new generation of protein database search programs . Nucleic Acids Res 25 , 3389 – 3402 . OpenUrl CrossRef PubMed Web of Science 2. ↵ Amon , D.J. , Ziegler , A.F. , Dahlgren , T.G. , Glover , A.G. , Goineau , A. , Gooday , A.J. , Wiklund , H. , Smith , C.R ., 2016 . Insights into the abundance and diversity of abyssal megafauna in a polymetallic-nodule region in the eastern Clarion-Clipperton Zone . Sci Rep 6 , 1 – 12 . doi: 10.1038/srep30492 OpenUrl CrossRef PubMed 3. ↵ Amon , D.J. , Ziegler , A.F. , Kremenetskaia , A. , Mah , C.L. , Mooi , R. , O’Hara , T. , Pawson , D.L. , Roux , M. , Smith , C.R ., 2017 . Megafauna of the UKSRL exploration contract area and eastern Clarion-Clipperton Zone in the Pacific Ocean: Echinodermata . Biodivers Data J 5 , e11794 . doi: 10.3897/BDJ.5.e11794 OpenUrl CrossRef 4. ↵ Auel , H. , Harjes , M. , Da Rocha , R. , Stübing , D. , Hagen , W. , 2002 . Lipid biomarkers indicate different ecological niches and trophic relationships of the Arctic hyperiid amphipods Themisto abyssorum and T. libellula . Polar Biol 25 , 374 – 383 . doi: 10.1007/s00300-001-0354-7 OpenUrl CrossRef Web of Science 5. ↵ Berger , W.H. , Adelseck , C.G. , Mayer , L.A ., 1976 . Distribution of carbonate in surface sediments of the Pacific Ocean . J Geophys Res 81 , 2617 – 2627 . doi: 10.1029/jc081i015p02617 OpenUrl CrossRef 6. ↵ Bligh , E.G. , Dyer , W.J ., 1959 . A rapid method of total lipid extraction and purification . Can J Biochem Physiol 37 , 911 – 917 . doi: 10.1139/o59-099 OpenUrl CrossRef PubMed 7. Blumer , M. , Chase , T. , Watson , S.W ., 1969 . Fatty Acids in the Lipids of Marine and Terrestrial Nitrifying Bacteria . J Bacteriol 99 , 366 – 370 . doi: 10.1128/jb.99.2.366-370.1969 OpenUrl Abstract / FREE Full Text 8. Boon , J.J. , De Leeuw , J.W. , van der Hoek , G.J. , Vosjan , J.H. , 1977 . Significance and taxonomic value of iso and anteiso monoenoic fatty acids and branched β-hydroxy acids in Desulfovibrio desulfuricans . J Bacteriol 129 , 1183 – 1191 . OpenUrl Abstract / FREE Full Text 9. ↵ Boschker , H.T.S. , 2008 . Section 8 update: Linking microbial community structure and functioning: Stable isotope ( 13 C) labeling in combination with PLFA analysis , in: Kowalchuk , G.A. , de Bruijn , F.J. , Head , I.M. , Akkermans , A.D. , van Elsas , J.D. (Eds.), Molecular Microbial Ecology Manual . Springer Netherlands , Dordrecht , pp. 3575 – 3590 . doi: 10.1007/978-1-4020-2177-0_807 OpenUrl CrossRef 10. Boschker , H.T.S. , Vasquez-cardenas , D. , Bolhuis , H. , Moerdijk-Poortvliet , T.W.C ., 2014 . Chemoautotrophic carbon fixation rates and active bacterial communities in intertidal marine sediments . PLoS One 9 , e101443 . doi: 10.1371/journal.pone.01014 OpenUrl CrossRef PubMed 11. Bowman , J.P. , Sly , L.I. , Nichols , P.D. , Hayward , A.C ., 1993 . Revised taxonomy of the methanotrophs: Description of Methylobacter gen. nov., emendation of Methylococcus, validation of Methylosinus and Methylocystis species, and a proposal that the family Methylococcaceae includes only the group I methanotrophs . Int J Syst Bacteriol 43 , 735 – 753 . doi: 10.1099/00207713-43-4-735 OpenUrl CrossRef 12. ↵ Bribiesca-Contreras , G. , Dahlgren , T.G. , Amon , D.J. , Cairns , S. , Drennan , R. , Durden , J.M. , Eléaume , M.P. , Hosie , A.M. , Kremenetskaia , A. , McQuaid , K. , O’hara , T.D. , Rabone , M. , Simon-Lledó , E. , Smith , C.R. , Watling , L. , Wiklund , H. , Glover , A.G. , 2022 . Benthic megafauna of the western Clarion-Clipperton Zone, Pacific Ocean . Zookeys 1113 , 1 – 110 . doi: 10.3897/zookeys.1113.82172 OpenUrl CrossRef PubMed 13. Budge , S.M. , Parrish , C.C ., 1998 . Lipid biogeochemistry of plankton, settling matter and sediments in Trinity Bay , Newfoundland. II. Fatty acids. Org Geochem 29 , 1547 – 1559 . OpenUrl 14. ↵ Christodoulou , M. , O’Hara , T. , Hugall , A.F. , Khodami , S. , Rodrigues , C.F. , Hilario , A. , Vink , A. , Martinez Arbizu , P ., 2020 . Unexpected high abyssal ophiuroid diversity in polymetallic nodule fields of the northeast Pacific Ocean and implications for conservation . Biogeosciences 17 , 1845 – 1876 . doi: 10.5194/bg-17-1845-2020 OpenUrl CrossRef 15. ↵ Christodoulou , M. , O’Hara , T.D. , Hugall , A.F. , Arbizu , P.M ., 2019 . Dark ophiuroid biodiversity in a prospective abyssal mine field . Current Biology 29 , 3909 – 3912 .e3. doi: 10.1016/j.cub.2019.09.012 OpenUrl CrossRef PubMed 16. Colaço , A. , Desbruyères , D. , Guezennec , J ., 2007 . Polar lipid fatty acids as indicators of trophic associations in a deep-sea vent system community . Marine Ecology 28 , 15 – 24 . doi: 10.1111/j.1439-0485.2006.00123.x OpenUrl CrossRef 17. ↵ Corliss , B.H. , Honjo , S ., 1981 . Dissolution of Deep-Sea Benthonic Foraminifera . Micropaleontology 27 , 356 – 378 . OpenUrl Abstract 18. ↵ Cummings , D.O. , Buhl , J. , Lee , R.W. , Simpson , S.J. , Holmes , S.P ., 2012 . Estimating Niche width using stable isotopes in the face of habitat variability: A modelling case study in the marine environment . PLoS One 7 , e40539 . doi: 10.1371/journal.pone.0040539 OpenUrl CrossRef PubMed 19. ↵ Dahm , C ., 1999 . Ophiuroids (Echinodermata) of southern Chile and the Antarctic: Taxonomy, biomass, diet and growth of dominant species . Sci Mar 63 , 427 – 432 . OpenUrl CrossRef 20. ↵ Dalsgaard , J. , St. John , M. , Kattner , G. , Müller-Navarra , D. , Hagen , W ., 2003 . Fatty acid trophic markers in the pelagic marine environment . Adv Mar Biol 46 , 225 – 340 . doi: 10.1016/S0065-2881(03)46005-7 OpenUrl CrossRef PubMed Web of Science 21. ↵ de Castro Manso , C.L. , Prata , J. , Araya , J.F. , 2018 . Deep-Water Ophiuroids (Echinodermata) Associated with Anthozoans and Hexactinellid Sponges from Northern Chile . Thalassas 34 , 93 – 102 . doi: 10.1007/s41208-017-0042-1 OpenUrl CrossRef 22. ↵ de Jonge , D.S.W. , Stratmann , T. , Lins , L. , Vanreusel , A. , Purser , A. , Marcon , Y. , Rodrigues , C.F. , Ravara , A. , Esquete , P. , Cunha , M.R. , Simon-Lledó , E. , van Breugel , P. , Sweetman , A.K. , Soetaert , K. , van Oevelen , D. , 2020 . Abyssal food-web model indicates faunal carbon flow recovery and impaired microbial loop 26 years after a sediment disturbance experiment . Prog Oceanogr 189 , 102446 . doi: 10.1016/j.pocean.2020.102446 OpenUrl CrossRef 23. de Kluijver , A. , Nierop , K.G.J. , Morganti , T.M. , Bart , M.C. , Slaby , B.M. , Hanz , U. , de Goeij , J.M. , Mienis , F. , Middelburg , J.J. , 2021 . Bacterial precursors and unsaturated long-chain fatty acids are biomarkers of North-Atlantic deep-sea demosponges . PLoS One 16 , e0241095 . doi: 10.1371/journal.pone.0241095 OpenUrl CrossRef PubMed 24. ↵ De Smet , B. , Simon-Lledó , E. , Mevenkamp , L. , Pape , E. , Pasotti , F. , Jones , D.O.B. , Vanreusel , A. , 2021 . The megafauna community from an abyssal area of interest for mining of polymetallic nodules . Deep-Sea Research I 172 , 103530 . OpenUrl CrossRef 25. ↵ Dearborn , J.H. , Hendler , G. , Edwards , K.C ., 1996 . The diet of Ophiosparte gigas (Echinodermata: Ophiuroidea) along the Antarctic Peninsula, with comments on its taxonomic status . Polar Biol 16 , 309 – 320 . OpenUrl 26. ↵ Dong , Y. , Li , Y. , He , P. , Wang , Z. , Fan , S. , Zhang , Z. , Zhang , X. , Xu , Q ., 2021 . Gut microbial composition and diversity in four ophiuroid species: Divergence between suspension feeder and scavenger and their symbiotic microbes . Front Microbiol 12 , 645070 . doi: 10.3389/fmicb.2021.645070 OpenUrl CrossRef PubMed 27. ↵ Drazen , J.C. , Phleger , C.F. , Guest , M.A. , Nichols , P.D ., 2008 . Lipid, sterols and fatty acid composition of abyssal holothurians and ophiuroids from the North-East Pacific Ocean: Food web implications . Comparative Biochemistry and Physiology - B Biochemistry and Molecular Biology 151 , 79 – 87 . doi: 10.1016/j.cbpb.2008.05.013 OpenUrl CrossRef 28. ↵ Durden , J.M. , Bett , B.J. , Huffard , C.L. , Pebody , C. , Ruhl , H.A. , Smith , K.L ., 2020 . Response of deep-sea deposit-feeders to detrital inputs: A comparison of two abyssal time-series sites . Deep-Sea Research II 173 , 104677 . doi: 10.1016/j.dsr2.2019.104677 OpenUrl CrossRef 29. ↵ Durden , J.M. , Putts , M. , Bingo , S. , Leitner , A.B. , Drazen , J.C. , Gooday , A.J. , Jones , D.O.B. , Sweetman , A.K. , Washburn , T.W. , Smith , C.R ., 2021 . Megafaunal ecology of the western Clarion Clipperton Zone . Front Mar Sci 8 , 1 – 22 . doi: 10.3389/fmars.2021.671062 OpenUrl CrossRef PubMed 30. ↵ Dutkiewicz , A. , Müller , R.D. , O’Callaghan , S. , Jónasson , H ., 2015 . Census of seafloor sediments in the world’s ocean . Geology 43 , 795 – 798 . doi: 10.1130/G36883.1 OpenUrl Abstract / FREE Full Text 31. ↵ Eichsteller , A. , Martynov , A. , O’Hara , T.D. , Christodoulou , M. , Korshunova , T. , Bribiesca-Contreras , G. , Martinez Arbizu , P ., 2023 . Ophiotholia (Echinodermata: Ophiuroidea): A little-known deep-sea genus present in polymetallic nodule fields with the description of a new species . Front Mar Sci 10 , 1056282 . doi: 10.3389/fmars.2023.1056282 OpenUrl CrossRef 32. Elvert , M. , Boetius , A. , Knittel , K. , Barker Jørgensen , B.O ., 2003 . Characterization of specific membrane fatty acids as chemotaxonomic markers for sulfate-reducing bacteria involved in anaerobic oxidation of methane . Geomicrobiol J 20 , 403 – 419 . doi: 10.1080/01490450390241071 OpenUrl CrossRef 33. ↵ Estoup , A. , Solignac , M. , Cornuet , J.-M. , Goudet , J. , Scholl , A ., 1996 . Genetic differentiation of continental and island populations of Bombus terrestris (Hymenoptera: Apidae) in Europe . Mol Ecol 5 , 19 – 31 . doi: 10.1111/j.1365-294X.1996.tb00288.x OpenUrl CrossRef PubMed Web of Science 34. ↵ Etnoyer , P.J. , Messing , C.G. , Stanley , K.A. , Baumiller , T.K. , Lavelle , K. , Shirley , T.C ., 2022 . Diversity and time-series analyses of Caribbean deep-sea coral and sponge assemblages on the tropical island slope of Isla de Roatán, Honduras . Marine Biodiversity 52 , 8 . doi: 10.1007/s12526-021-01255-z OpenUrl CrossRef 35. ↵ Falk-Petersen , S. , Sargent , J.R. , Tande , K.S ., 1987 . Lipid composition of zooplankton in relation to the Sub-Arctic food web . Polar Biol 8 , 115 – 120 . OpenUrl CrossRef Web of Science 36. ↵ Folmer , O. , Black , M. , Hoeh , W. , Lutz , R. , Vrijenhoek , R ., 1994 . DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates . Mol Mar Biol Biotechnol 3 , 294 – 299 . OpenUrl CrossRef PubMed 37. ↵ Fratt , D.B. , Dearborn , J.H ., 1984 . Feeding biology of the Antarctic brittle star Ophionotus victoriae (Echinodermata: Ophiuroidea) . Polar Biol 3 , 127 – 139 . doi: 10.1007/BF00442644 OpenUrl CrossRef 38. ↵ Gage , J.D. , Tyler , P.A ., 1991 . Deep-sea biology: A natural history of organisms at the deep-sea floor . Cambridge University Press, Cambridge , UK . 39. ↵ Glover , A.G. , Dahlgren , T. , Wiklund , H. , Mohrbeck , I. , Smith , C ., 2015 . An end-to-end DNA taxonomy methodology for benthic biodiversity survey in the Clarion-Clipperton Zone , Central Pacific abyss. J Mar Sci Eng 4 , 2 . doi: 10.3390/jmse4010002 OpenUrl CrossRef 40. ↵ Goineau , A. , Gooday , A.J ., 2019 . Diversity and spatial patterns of foraminiferal assemblages in the eastern Clarion–Clipperton Zone (abyssal eastern Equatorial Pacific) . Deep-Sea Research I 149 , 103036 . doi: 10.1016/j.dsr.2019.04.014 OpenUrl CrossRef 41. ↵ Gooday , A.J. , Durden , J.M. , Smith , C.R ., 2020 . Giant, highly diverse protists in the abyssal Pacific: Vulnerability to impacts from seabed mining and potential for recovery . Commun Integr Biol 13 , 189 – 197 . doi: 10.1080/19420889.2020.1843818 OpenUrl CrossRef PubMed 42. ↵ Gooday , A.J. , Goineau , A. , Voltski , I ., 2015 . Abyssal foraminifera attached to polymetallic nodules from the eastern Clarion-Clipperton Fracture Zone: A preliminary description and comparison with North Atlantic dropstone assemblages . Marine Biodiversity 45 , 391 – 412 . doi: 10.1007/s12526-014-0301-9 OpenUrl CrossRef 43. ↵ Gooday , A.J. , Jorissen , F.J ., 2012 . Benthic foraminiferal biogeography: Controls on global distribution patterns in deep-water settings . Ann Rev Mar Sci 4 , 237 – 262 . doi: 10.1146/annurev-marine-120709-142737 OpenUrl CrossRef PubMed 44. ↵ Gooday , A.J. , Lejzerowicz , F. , Goineau , A. , Holzmann , M. , Kamenskaya , O. , Kitazato , H. , Lim , S.C. , Pawlowski , J. , Radziejewska , T. , Stachowska , Z. , Wawrzyniak-Wydrowska , B ., 2021 . The Biodiversity and Distribution of Abyssal Benthic Foraminifera and Their Possible Ecological Roles: A Synthesis Across the Clarion-Clipperton Zone . Front Mar Sci . doi: 10.3389/fmars.2021.634726 OpenUrl CrossRef 45. Graeve , M. , Kattner , G. , Piepenburg , D ., 1997 . Lipids in Arctic benthos: Does the fatty acid and alcohol composition reflect feeding and trophic interactions? Polar Biol 18 , 53 – 61 . OpenUrl CrossRef Web of Science 46. ↵ Haeckel , M. , Janssen , F. , Martinez Arbizu , P ., 2023 . Cruise report SO295: Assessing the impacts of polymetallic nodule mining on the deep-sea environment after an industrial collector test in the German and Belgian contract areas in the CCZ (31 October 2022 - 23 December 2022 , Port Hueneme (USA) - Port Hueneme (USA)). Bonn . doi: 10.48433/cr_so295 OpenUrl CrossRef 47. ↵ Haeckel , M. , Linke , P ., 2021 . Cruise Report SO268: Assessing the impacts of nodule mining on the deep-sea environment (NoduleMonitoring), Manzanillo (Mexico) = Vancover (Canada) 17.02. - 27.05.2019 . Kiel . doi: 10.3289/GEOMAR_REP_NS_59_2021 OpenUrl CrossRef 48. ↵ Harris , P.T. , Macmillan-Lawler , M. , Rupp , J. , Baker , E.K ., 2014 . Geomorphology of the oceans . Mar Geol 352 , 4 – 24 . doi: 10.1016/j.margeo.2014.01.011 OpenUrl CrossRef GeoRef 49. ↵ Holland , H. , Turekian , K Hein , J.R. , Koschinsky , A ., 2014 . Deep-ocean ferromanganese crusts and nodules , in: Holland , H. , Turekian , K . (Eds.), Treatise on Geochemistry . Elsevier Ltd ., Amsterdam , pp. 273 – 291 . doi: 10.1016/B978-0-08-095975-7.01111-6 OpenUrl CrossRef 50. ↵ Hoving , H.-J. , Boetius , A. , Dunlop , K. , Greinert , J. , Haeckel , M. , Jones , D.O.B. , Simon-Lledó , E. , Marcon , Y. , Stratmann , T. , Suck , I. , Sweetman , A.K. , Purser , A ., 2023 . Major fine-scale spatial heterogeneity in accumulation of gelatinous carbon fluxes on the deep seabed . Front Mar Sci 10 , 1192242 . doi: 10.3389/fmars.2023.1192242 OpenUrl CrossRef 51. ↵ Howell , K.L. , Pond , D.W. , Billett , D.S.M. , Tyler , P.A ., 2003 . Feeding ecology of deep-sea seastars (Echinodermata: Asteroidea): A fatty-acid biomarker approach . Mar Ecol Prog Ser 255 , 193 – 206 . OpenUrl CrossRef 52. ↵ Hudson , I.R. , Wigham , B.D. , Billett , D.S.M. , Tyler , P.A ., 2003 . Seasonality and selectivity in the feeding ecology and reproductive biology of deep-sea bathyal holothurians . Prog Oceanogr 59 , 381 – 407 . doi: 10.1016/j.pocean.2003.11.002 OpenUrl CrossRef Web of Science 53. ↵ International Seabed Authority , 2011 . Draft environmental management plan for the Clarion-Clipperton Zone I. International Seabed Authority, Kingston, Jamaica . 54. ↵ Jackson , A.L. , Inger , R. , Parnell , A.C. , Bearhop , S ., 2011 . Comparing isotopic niche widths among and within communities: SIBER - Stable Isotope Bayesian Ellipses in R . Journal of Animal Ecology 80 , 595 – 602 . doi: 10.1111/j.1365-2656.2011.01806.x OpenUrl CrossRef PubMed 55. ↵ Jahnke , R.A ., 1996 . The global ocean flux of particulate organic carbon: Areal distribution and magnitude . Global Biogeochem Cycles 10 , 71 – 88 . doi: 10.1029/95GB03525 OpenUrl CrossRef GeoRef Web of Science 56. ↵ Kamenskaya , O. , Melnik , V.F. , Gooday , A.J ., 2013 . Giant protists (xenophyophores and komokiaceans) from the Clarion-Clipperton ferromanganese nodule field (eastern Pacific) . Biology Bulletin Reviews 3 , 388 – 398 . doi: 10.1134/S2079086413050046 OpenUrl CrossRef 57. ↵ Kattner , G. , Graeve , M. , Hagen , W ., 2012 . Energy reserves of Southern Ocean copepods: Triacylglycerols with unusually long-chain monounsaturated fatty acids . Mar Chem 138–139 , 7 – 12 . doi: 10.1016/j.marchem.2012.05.002 OpenUrl CrossRef 58. Kharlamenko , V.I ., 2018 . Abyssal foraminifera as the main source of rare and new polyunsaturated fatty acids in deep-sea ecosystems . Deep-Sea Research II 154 , 358 – 364 . doi: 10.1016/j.dsr2.2017.10.015 OpenUrl CrossRef 59. ↵ Kharlamenko , V.I. , Brandt , A. , Kiyashko , S.I. , Würzberg , L ., 2013 . Trophic relationship of benthic invertebrate fauna from the continental slope of the Sea of Japan . Deep Sea Research Part II: Topical Studies in Oceanography 86–87 , 34 – 42 . doi: 10.1016/j.dsr2.2012.08.007 OpenUrl CrossRef 60. Kharlamenko , V.I. , Zhukova , N. V , Khotimchenko , S. V , Svetashev , V.I. , Kamenev , G.M ., 1995 . Fatty acids as markers of food sources in a shallow-water hydrothermal ecosystem (Kraternaya Bight, Yankich Island , Kurile Islands). Mar Ecol Prog Ser 120 , 231 – 241 . OpenUrl CrossRef 61. Knief , C. , Altendorf , K. , Lipski , A ., 2003 . Linking autotrophic activity in environmental samples with specific bacterial taxa by detection of 13C-labelled fatty acids . Environ Microbiol 5 , 1155 – 1167 . doi: 10.1046/j.1462-2920.2003.00510.x OpenUrl CrossRef PubMed Web of Science 62. ↵ Laming , S.R. , Christodoulou , M. , Martinez Arbizu , P. , Hilário , A ., 2021 . Comparative reproductive biology of deep-sea ophiuroids inhabiting polymetallic-nodule fields in the Clarion-Clipperton Fracture Zone . Front Mar Sci 8 , 663798 . doi: 10.3389/fmars.2021.663798 OpenUrl CrossRef 63. ↵ Langenkämper , D. , Zurowietz , M. , Schoening , T. , Nattkemper , T.W ., 2017 . BIIGLE 2.0 - Browsing and annotating large marine image collections . Front Mar Sci 4 , 1 – 10 . doi: 10.3389/fmars.2017.00083 OpenUrl CrossRef 64. Larkin , K.E. , Gooday , A.J. , Woulds , C. , Jeffreys , R.M. , Schwartz , M. , Cowie , G. , Whitcraft , C. , Levin , L. , Dick , J.R. , Pond , D.W ., 2014 . Uptake of algal carbon and the likely synthesis of an “essential” fatty acid by Uvigerina ex. gr. semiornata (Foraminifera) within the Pakistan margin oxygen minimum zone: Evidence from fatty acid biomarker and 13C tracer experiments . Biogeosciences 11 , 3729 – 3738 . doi: 10.5194/bg-11-3729-2014 OpenUrl CrossRef 65. ↵ Layton , K.K.S. , Corstorphine , E.A. , Hebert , P.D.N ., 2016 . Exploring Canadian Echinoderm Diversity through DNA Barcodes . PLoS One 11 , e0166118 . doi: 10.1371/journal.pone.0166118 OpenUrl CrossRef PubMed 66. ↵ Lim , S. , Wiklund , H. , Bribiesca-Contreras , G ., Glover , A.G. , Dahlgren , T.G. , Tan , K. , 2024 . Diversity and phylogeny of demosponge fauna in the abyssal nodule fields of the eastern Clarion[Clipperton Zone, Pacific Ocean . Zool Scr 53 , 880 – 905 . doi: 10.1111/zsc.12683 OpenUrl CrossRef 67. ↵ Lim , S.-C. , Wiklund , H. , Glover , A.G. , Dahlgren , T.G. , Tan , K.-S ., 2017 . A new genus and species of abyssal sponge commonly encrusting polymetallic nodules in the Clarion-Clipperton Zone, East Pacific Ocean . Syst Biodivers 15 , 507 – 519 . doi: 10.1080/14772000.2017.1358218 OpenUrl CrossRef 68. Lipski , A. , Spieck , E. , Makolla , A. , Altendorf , K ., 2001 . Fatty Acid Profiles of Nitrite-oxidizing Bacteria Reflect theirPhylogenetic Heterogeneity . Syst Appl Microbiol 24 , 377 – 384 . doi: 10.1078/0723-2020-00049 OpenUrl CrossRef PubMed Web of Science 69. ↵ Manjón-Cabeza , M.E. , Ríos , P. , García-Guillén , L.M. , Macías-Ramírez , A. , Sánchez , F. , Rodríguez-Básalo , A. , Ibarrola , T.P. , Cristobo , J ., 2021 . Asteroids and Ophiuroids Associated With Sponge Aggregations as a Key to Marine Habitats. A Comparative Analysis Between Avilés Canyons System and El Cachucho , Marine Protected Area. Front Mar Sci 7 , 606749 . doi: 10.3389/fmars.2020.606749 OpenUrl CrossRef 70. ↵ Mejía-Quintero , K. , Borrero-Pérez , G.H. , Montoya-Cadavid , E ., 2021 . Callogorgia spp. and Their Brittle Stars: Recording Unknown Relationships in the Pacific Ocean and the Caribbean Sea . Front Mar Sci 8 , 735039 . doi: 10.3389/fmars.2021.735039 OpenUrl CrossRef 71. ↵ Middelburg , J.J. , Barranguet , C. , Boschker , H.T.S. , Herman , P.M.J. , Moens , T. , Heip , C.H.R ., 2000 . The fate of intertidal microphytobenthos carbon: An in situ 13 C-labeling study . Limnol Oceanogr 45 , 1224 – 1234 . doi: 10.4319/lo.2000.45.6.1224 OpenUrl CrossRef Web of Science 72. ↵ Miguez-Salas , O. , Brandt , A. , Moreau , C ., 2024 . Neoichnological analysis of sea stars in the deep sea near the Aleutian Trench: behavioral insights from in situ observations . Marine Biodiversity 54 . doi: 10.1007/s12526-023-01398-1 OpenUrl CrossRef 73. ↵ Mosher , C. V. , Watling , L ., 2009 . Partners for life: A brittle star and its octocoral host . Mar Ecol Prog Ser 397 , 81 – 88 . doi: 10.3354/meps08113 OpenUrl CrossRef Web of Science 74. Nichols , P.D. , Mancuo , C.A. , White , D.C ., 1987 . Measurement of methanotroph and methanogen signature phospholipids for use in assessment of biomass and community structure in model systems . Org Geochem 11 , 451 – 461 . OpenUrl CrossRef GeoRef Web of Science 75. Oude Elferink , S.J.W.H. , Boschker , H.T.S. , Stams , A.J.M. , 1998 . Identification of sulfate reducers and syntrophobacter sp. In anaerobic granular sludge by fatty-acid biomarkers and 16s rRNA probing . Geomicrobiol J 15 , 3 – 17 . doi: 10.1080/01490459809378058 OpenUrl CrossRef Web of Science 76. ↵ Pape , E. , Bezerra , T.N. , Gheerardyn , H. , Buydens , M. , Kieswetter , A. , Vanreusel , A ., 2021 . Potential impacts of polymetallic nodule removal on deep-sea meiofauna . Sci Rep 11 . doi: 10.1038/s41598-021-99441-3 OpenUrl CrossRef 77. Parrish , C.C. , Thompson , R.J. , Deibel , D ., 2005 . Lipid classes and fatty acids in plankton and settling matter during the spring bloom in a cold ocean coastal environment . Mar Ecol Prog Ser 286 , 57 – 68 . OpenUrl CrossRef 78. ↵ Pearson , M. , Gage , J.D ., 1984 . Diets of some deep-sea brittle stars in the Rockall Trough . Mar Biol 258 , 247 – 258 . OpenUrl 79. ↵ Post , D.M ., 2002 . Using stable isotopes to estimate trophic position: Models, methods, and assumptions . Ecology 83 , 703 – 718 . doi: 10.1890/0012-9658(2002)083[0703:USITET]2.0.CO;2 OpenUrl CrossRef Web of Science 80. ↵ Qi , H. , Coplen , T.B. , Geilmann , H. , Brand , W.A. , Böhlke , J.K ., 2003 . Two new organic reference materials for δ 13 C and δ 15 N measurements and a new value for the δ 13 C of NBS 22 oil . Rapid Communications in Mass Spectrometry 17 , 2483 – 2487 . doi: 10.1002/rcm.1219 OpenUrl CrossRef PubMed Web of Science 81. ↵ Qi , H. , Coplen , T.B. , Mroczkowski , S.J. , Brand , W.A. , Brandes , L. , Geilmann , H. , Schimmelmann , A ., 2016 . A new organic reference material, l -glutamic acid, USGS41a, for δ13C and δ15N measurements − a replacement for USGS41 . Rapid Communications in Mass Spectrometry 30 , 859 – 866 . OpenUrl CrossRef PubMed 82. ↵ Quezada-Romegialli , C. , Jackson , A.L. , Hayden , B. , Kahilainen , K.K. , Lopes , C. , Harrod , C ., 2018 . tRophicPosition, an r package for the Bayesian estimation of trophic position from consumer stable isotope ratios . Methods Ecol Evol 9 , 1592 – 1599 . doi: 10.1111/2041-210X.13009 OpenUrl CrossRef 83. ↵ R-Core Team , 2025 . R: A language and environment for statistical computing . 84. ↵ Reddin , C.J. , Bothwell , J.H. , O’Connor , N.E. , Harrod , C ., 2018 . The effects of spatial scale and isoscape on consumer isotopic niche width . Funct Ecol 32 , 904 – 915 . doi: 10.1111/1365-2435.13026 OpenUrl CrossRef 85. ↵ Rios-Yunes , D. , Tiano , J.C. , van Oevelen , D. , van Dalen , J. , Soetaert , K. , 2023 . Annual biogeochemical cycling in intertidal sediments of a restored estuary reveals dependence of N, P, C and Si cycles to temperature and water column properties . Estuar Coast Shelf Sci 282 . doi: 10.1016/j.ecss.2023.108227 OpenUrl CrossRef 86. ↵ Rodkina , S.A. , Dautova , T.N ., 2025 . Diet of deep-sea octocorals from the Emperor Seamount Chain inferred by fatty acid trophic markers . Deep Sea Res 2 Top Stud Oceanogr 220 , 105462 . doi: 10.1016/j.dsr2.2025.105462 OpenUrl CrossRef 87. ↵ Saidova , Kh.M. , 1965 . Distribution of the bottom Foraminiferans in the Pacific Ocean . Oceanology (Wash D C ) 5 , 1010 – 1014 . OpenUrl 88. Sakata , S. , Hayes , J.M. , Rohmer , M. , Hooper , A.B. , Seemann , M ., 2008 . Stable carbon-isotopic compositions of lipids isolated from the ammonia-oxidizing chemoautotroph Nitrosomonas europaea . Org Geochem 39 , 1725 – 1734 . doi: 10.1016/j.orggeochem.2008.08.005 OpenUrl CrossRef GeoRef Web of Science 89. ↵ Sharp , Z ., 2017 . Principles of Stable Isotope Geochemistry , 2nd ed . University of New Mexico , Albuquerque . 90. ↵ Shi , J. , Lei , Y. , Li , Q. , Lyu , M. , Li , T ., 2020 . Molecular diversity and spatial distribution of benthic foraminifera of the seamounts and adjacent abyssal plains in the tropical Western Pacific Ocean . Mar Micropaleontol 156 , 101850 . doi: 10.1016/j.marmicro.2020.101850 OpenUrl CrossRef 91. ↵ Simon-Lledó , E. , Amon , D.J. , Bribiesca-Contreras , G. , Cuvelier , D. , Durden , J.M. , Ramalho , S.P. , Uhlenkott , K. , Martínez Arbizu , P. , Benoist , N. , Copley , J. , Dahlgren , T.G. , Glover , A.G. , Fleming , B. , Horton , T. , Ju , S.-J. , Mejia-Saenz , A. , McQuaid , K. , Pape , E. , Park , C. , Smith , C.R. , Jones , D.O.B. , 2023a . Abyssal Pacific Seafloor Megafauna Atlas (version 1) [WWW Document] . Zenodo . doi: 10.5281/ZENODO.8172728 OpenUrl CrossRef 92. ↵ Simon-Lledó , E. , Amon , D.J. , Bribiesca-Contreras , G. , Cuvelier , D. , Durden , J.M. , Ramalho , S.P. , Uhlenkott , K. , Martínez Arbizu , P. , Benoist , N. , Copley , J. , Dahlgren , T.G. , Glover , A.G. , Fleming , B. , Horton , T. , Ju , S.-J. , Mejía-Saenz , A. , McQuaid , K. , Pape , E. , Park , C. , Smith , C.R. , Jones , D.O.B. , 2023b . Carbonate compensation depth drives abyssal biogeography in the northeast Pacific . Nat Ecol Evol 7 , 1388 – 1397 . doi: 10.1038/s41559-023-02122-9 OpenUrl CrossRef PubMed 93. ↵ Simon-Lledó , E. , Baselga , A. , Gómez-Rodríguez , C. , Metaxas , A. , Amon , D.J. , Bribiesca-Contreras , G. , Durden , J.M. , Fleming , B. , Mejía-Saenz , A. , Taboada , S. , Van Audenhaege , L. , Jones , D.O.B. , 2025 . Marked Variability in Distance-Decay Patterns Suggests Contrasting Dispersal Ability in Abyssal Taxa . Global Ecology and Biogeography 34 , e13956 . doi: 10.1111/geb.13956 OpenUrl CrossRef 94. Simon-Lledó , E. , Bett , B.J. , Benoist , N.M.A. , Hoving , H. , Aleynik , D. , Horton , T. , Jones , D.O.B. , 2023 . Mass falls of crustacean carcasses link surface waters and the deep seafloor . Ecology 104 , e3898 . doi: 10.1002/ecy.3898 OpenUrl CrossRef PubMed 95. ↵ Simon-Lledó , E. , Bett , B.J. , Huvenne , V.A.I. , Köser , K. , Schoening , T. , Greinert , J. , Jones , D.O.B ., 2019a . Biological effects 26 years after simulated deep-sea mining . Sci Rep 9 , 8040 . doi: 10.1038/s41598-019-44492-w OpenUrl CrossRef PubMed 96. ↵ Simon-Lledó , E. , Bett , B.J. , Huvenne , V.A.I. , Schoening , T. , Benoist , N.M.A. , Jones , D.O.B ., 2019b . Ecology of a polymetallic nodule occurrence gradient: Implications for deep-sea mining . Limnol Oceanogr 64 , 1883 – 1894 . doi: 10.1002/lno.11157 OpenUrl CrossRef PubMed 97. ↵ Smith , C.R. , De Léo , F.C. , Bernardino , A.F. , Sweetman , A.K. , Martínez Arbizu , P. , 2008 . Abyssal food limitation, ecosystem structure and climate change . Trends Ecol Evol 23 , 518 – 528 . doi: 10.1016/j.tree.2008.05.002 OpenUrl CrossRef PubMed Web of Science 98. ↵ Stratmann , T. , Lins , L. , Purser , A. , Marcon , Y. , Rodrigues , C.F. , Ravara , A. , Cunha , M.R. , Simon-Lledó , E. , Jones , D.O.B. , Sweetman , A.K. , Köser , K. , van Oevelen , D. , 2018a . Abyssal plain faunal carbon flows remain depressed 26 years after a simulated deep-sea mining disturbance . Biogeosciences 15 , 4131 – 4145 . doi: 10.5194/bg-15-4131-2018 OpenUrl CrossRef 99. ↵ Stratmann , T. , Mevenkamp , L. , Sweetman , A.K. , Vanreusel , A. , van Oevelen , D. , 2018b . Has phytodetritus processing by an abyssal soft-sediment community recovered 26 years after an experimental disturbance? Front Mar Sci 5 , 59 . doi: 10.3389/fmars.2018.00059 OpenUrl CrossRef 100. ↵ Stratmann , T. , Sahonero-Canavesi , D.X. , van der Meer , M.T.J. , 2024 . Combining 13 C, 15 N, and 2 H to measure feeding and metabolic activity in marine, shallow-water sponges – A pilot study . bioRxiv preprint . doi: 10.1101/2024.11.27.625585 OpenUrl Abstract / FREE Full Text 101. ↵ Stratmann , T. , Simon-Lledó , E. , Morganti , T.M. , de Kluijver , A. , Vedenin , A. , Purser , A. , 2022 . Habitat types and megabenthos composition from three sponge-dominated high-Arctic seamounts . Sci Rep 12 , 20610 . doi: 10.1038/s41598-022-25240-z OpenUrl CrossRef PubMed 102. ↵ Stratmann , T. , Soetaert , K. , Kersken , D. , Van Oevelen , D. , 2021 . Polymetallic nodules are essential for food-web integrity of a prospective deep-seabed mining area in Pacific abyssal plains . Sci Rep 11 , 12238 . doi: 10.1038/s41598-021-91703-4 OpenUrl CrossRef PubMed 103. ↵ Stratmann , T. , van Breugel , P. , Sweetman , A.K. , van Oevelen , D. , 2023 . Deconvolving feeding niches and strategies of abyssal holothurians from their stable isotope, amino acid, and fatty acid composition . Marine Biodiversity 53 , 80 . doi: 10.1007/s12526-023-01389-2 OpenUrl CrossRef 104. ↵ Stratmann , T. , Voorsmit , I. , Gebruk , A. V. , Brown , A. , Purser , A. , Marcon , Y. , Sweetman , A.K. , Jones , D.O.B. , van Oevelen , D. , 2018c . Recovery of Holothuroidea population density, community composition and respiration activity after a deep-sea disturbance experiment . Limnol Oceanogr 63 , 2140 – 2153 . doi: 10.1002/lno.10929 OpenUrl CrossRef 105. ↵ Sweetman , A.K. , Smith , C.R. , Shulse , C.N. , Maillot , B. , Lindh , M. , Church , M.J. , Meyer , K.S. , Oevelen , D. , Stratmann , T. , Gooday , A.J ., 2019 . Key role of bacteria in the short[term cycling of carbon at the abyssal seafloor in a low particulate organic carbon flux region of the eastern Pacific Ocean . Limnol Oceanogr 64 , 694 – 713 . doi: 10.1002/lno.11069 OpenUrl CrossRef 106. Taylor , J. , Parkes , R.J ., 1983 . The cellular fatty acids of the sulphate-reducing bacteria, Desulfobacter sp., Desulfobulbus sp. and Desulfovibvio desulfuvicans . J Gen Microbiol 129 , 3303 – 3309 . OpenUrl CrossRef Web of Science 107. ↵ Uhlenkott , K. , Simon-Lledó , E. , Vink , A. , Martínez Arbizu , P ., 2022 . Megafauna morphotypes annotated on deep see images in the German contract area for polymetallic nodule mining, Clarion Clipperton Fracture Zone , Pacific. Pangaea dataset . 108. Van Gaever , S. , Moodley , L. , Pasotti , F. , Houtekamer , M. , Middelburg , J.J. , Danovaro , R. , Vanreusel , A. , 2009a . Trophic specialisation of metazoan meiofauna at the Håkon Mosby Mud Volcano: Fatty acid biomarker isotope evidence . Mar Biol 156 , 1289 – 1296 . doi: 10.1007/s00227-009-1170-9 OpenUrl CrossRef 109. Van Gaever , S. , Olu , K. , Derycke , S. , Vanreusel , A. , 2009b . Metazoan meiofaunal communities at cold seeps along the Norwegian margin: Influence of habitat heterogeneity and evidence for connection with shallow-water habitats . Deep-Sea Research I 56 , 772 – 785 . doi: 10.1016/j.dsr.2008.12.015 OpenUrl CrossRef 110. ↵ Vanreusel , A. , Hilário , A. , Ribeiro , P.A. , Menot , L. , Martínez Arbizu , P ., 2016 . Threatened by mining, polymetallic nodules are required to preserve abyssal epifauna . Sci Rep 6 , 26808 . doi: 10.1038/srep26808 OpenUrl CrossRef PubMed 111. ↵ Vink , A. , Aigner , T. , Bardenhagen , M. , Barz , J. , Bouriat , A. , Charlet , F. , de Stigter , H. , Gazis , I. , Goossens , J. , Haeckel , M. , Hagedorn , D. , Heger , K. , Janssen , F. , Kefel , O. , Luongo , G. , Maschmann , N. , Mohrmann , J. , Molari , M. , Rossel , S. , Rühlemann , C. , Schmidt , K. , Sevilgen , D. , Stocks , M. , Stratmann , T. , Uhlenkott , K. , Yapan , B. , 2022 . MANGAN 2021 Cruise Report: Independent scientific monitoring of two collector tests in the BGR and GSR contract areas for the exploration of polymetallic nodules in the equatorial NE Pacific . Hannover . doi: 10.25928/hw7d-fs42 OpenUrl CrossRef 112. ↵ Vonnahme , T.R. , Molari , M. , Janssen , F. , Wenzhöfer , F. , Haeckel , M. , Titschack , J. , Boetius , A ., 2020 . Effects of a deep-sea mining experiment on seafloor microbial communities and functions after 26 years . Sci Adv 6 , eaaz5922 . doi: 10.1126/sciadv.aaz5922 OpenUrl FREE Full Text 113. ↵ Washburn , T.W. , Jones , D.O.B. , Wei , C.-L. , Smith , C.R ., 2021 . Environmental heterogeneity throughout the Clarion-Clipperton Zone and the potential representativity of the APEI network . Front Mar Sci 8 , 661685 . doi: 10.3389/fmars.2021.661685 OpenUrl CrossRef 114. ↵ Wigham , B.D. , Hudson , I.R. , Billett , D.S.M. , Wolff , G.A ., 2003 . Is long-term change in the abyssal Northeast Atlantic driven by qualitative changes in export flux? Evidence from selective feeding in deep-sea holothurians . Prog Oceanogr 59 , 409 – 441 . doi: 10.1016/j.pocean.2003.11.003 OpenUrl CrossRef Web of Science 115. ↵ Wilson , S.E. , Ruhl , H.A. , Smith , K.L ., 2013 . Zooplankton fecal pellet flux in the abyssal northeast Pacific: A 15 year time-series study . Limnol Oceanogr 58 , 881 – 892 . doi: 10.4319/lo.2013.58.3.0881 OpenUrl CrossRef 116. ↵ Yang , Z. , Chen , J. , Wang , C. , Zhang , D. , Lu , B. , Wang , K. , Ran , L. , Sun , D. , Lin , S. , Chen , Q ., 2020 . Food Sources of Benthic Communities at the Caiwei Guyot and Yap Trench, Northwestern Pacific Ocean: Inferences From Carbon and Nitrogen Isotopes . J Geophys Res Biogeosci 125 , 2019JG005432 . doi: 10.1029/2019JG005432 OpenUrl CrossRef 117. ↵ Yunda-Guarin , G. , Michel , L.N. , Nozais , C. , Archambault , P ., 2022 . Interspecific differences in feeding selectivity shape isotopic niche structure of three ophiuroids in the Arctic Ocean . Mar Ecol Prog Ser 683 , 81 – 95 . doi: 10.3354/meps13965 OpenUrl CrossRef 118. ↵ Zapata , M. , Rodríguez , F. , Garrido , J ., 2000 . Separation of chlorophylls and carotenoids from marine phytoplankton:a new HPLC method using a reversed phase C8 column and pyridine-containing mobile phases . Mar Ecol Prog Ser 195 , 29 – 45 . doi: 10.3354/meps195029 OpenUrl CrossRef 119. Zelles , L ., 1997 . Phospholipid fatty acid profiles in selected members of soil microbial communities . Chemosphere 35 , 275 – 294 . doi: 10.1016/S0045-6535(97)00155-0 OpenUrl CrossRef PubMed 120. Zhang , C.L. , Huang , Z. , Cantu , J. , Pancost , R.D. , Brigmon , R.L. , Lyons , T.W. , Sassen , R ., 2005 . Lipid biomarkers and carbon isotope signatures of a microbial (Beggiatoa) mat associated with gas hydrates in the Gulf of Mexico . Appl Environ Microbiol 71 , 2106 – 2112 . doi: 10.1128/AEM.71.4.2106-2112.2005 OpenUrl Abstract / FREE Full Text View the discussion thread. Back to top Previous Next Posted June 27, 2025. Download PDF Email Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. You are going to email the following Ecology of Echinodermata in the Clarion-Clipperton-Fracture Zone (Central Pacific) Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website. Your Personal Message CAPTCHA This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Share Ecology of Echinodermata in the Clarion-Clipperton-Fracture Zone (Central Pacific) Tanja Stratmann , Erik Simon-Lledó , Marcel T. J. van der Meer , Magdalini Christodoulou , Sven Rossel , Ana Colaço bioRxiv 2025.06.22.660910; doi: https://doi.org/10.1101/2025.06.22.660910 Share This Article: Copy Citation Tools Ecology of Echinodermata in the Clarion-Clipperton-Fracture Zone (Central Pacific) Tanja Stratmann , Erik Simon-Lledó , Marcel T. J. van der Meer , Magdalini Christodoulou , Sven Rossel , Ana Colaço bioRxiv 2025.06.22.660910; doi: https://doi.org/10.1101/2025.06.22.660910 Citation Manager Formats BibTeX Bookends EasyBib EndNote (tagged) EndNote 8 (xml) Medlars Mendeley Papers RefWorks Tagged Ref Manager RIS Zotero Tweet Widget Facebook Like Google Plus One Subject Area Ecology Subject Areas All Articles Animal Behavior and Cognition (7640) Biochemistry (17707) Bioengineering (13903) Bioinformatics (41980) Biophysics (21465) Cancer Biology (18613) Cell Biology (25528) Clinical Trials (138) Developmental Biology (13387) Ecology (19920) Epidemiology (2067) Evolutionary Biology (24332) Genetics (15615) Genomics (22519) Immunology (17747) Microbiology (40424) Molecular Biology (17194) Neuroscience (88664) Paleontology (667) Pathology (2839) Pharmacology and Toxicology (4827) Physiology (7650) Plant Biology (15160) Scientific Communication and Education (2046) Synthetic Biology (4302) Systems Biology (9826) Zoology (2271)

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00