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  • 2020-2024  (8)
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  • 1
    Publication Date: 2023-03-03
    Description: The collected samples of Geodia species were used to identify if they were reproductive and understand which genes are expressed during gametogenesis. Specifically, specimens fixed in glutaraldehyde solution, were processed for histological analysis to observe gametes in the sponge tissue. Once, we identified male, female (while in gametogenesis) and non-reproductive specimens, we used the RNAlater fixed samples to extract RNA from those specimens. Then, we prepared cDNA libraries, sequenced them with illumina nextseq and we did differential gene expression analysis in order to compare the expressed genes in male vs female specimens and vs non-reproductive specimens. The goal was to understand the molecular machinery of gametogenesis in sponges from an evolutionary point of view.
    Keywords: Agassiz Trawl; AGT; Area/locality; DATE/TIME; Deep-sea Sponge Grounds Ecosystems of the North Atlantic; Depth, bathymetric; Device type; Dredge, triangle; Event label; G. O. Sars (2003); gametogenesis; Geodia sp.; GS16A-202; GS2016109A; GS2016109A-06-ROV-01; GS2017110; GS2017110-09-ROV-6; GS2017110-23-ROV12; GS2017110-57-AGT-01; Hans Brattström; HB2016944; HB2016944_2; HB2016952; HB2016952_6; Investigator; Korsfjord; Kosterfjord; Latitude of event; Longitude of event; Nereus; Nereus20160405; Nereus20160405_ROV; Porifera; Remote operated vehicle; ROV; Sample code/label; Schultz Bank; Sex; Species; SponGES; Sula reef; TAD; Transcriptomics; Tromsøflaket
    Type: Dataset
    Format: text/tab-separated-values, 245 data points
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2023-03-03
    Description: Boreo-arctic sponge grounds are essential deep-sea structural habitats that provide important services for the ecosystem. These large sponge aggregations are dominated by demosponges of the genus Geodia (order Tetractinellida, family Geodiidae). However, little is known about the basic biological features of these species, such as their life cycle and dispersal capabilities. Here, we surveyed five deep-sea species of Geodia from the North Atlantic Ocean and studied their reproductive cycle and strategy using light and electron microscopy. We confirmed that these five species were oviparous and gonochoristic and that their reproductive season spanned similar periods: from late spring to early autumn. Concerning their reproductive strategy, the high abundance of lipid yolk observed in the female gametes could indicate both a necessity for rapid fuel during embryogenesis in the water column and increased buoyancy for drifting over longer times. Overall, the investment in reproduction was lower for all the surveyed species compared to similar shallow-water species. Given the present hazards that threaten sponge grounds, it becomes crucial to understand the processes behind the maintenance and regeneration of populations of keystone deep-sea species in order to predict the magnitude of human impacts and estimate their ability to recover. The information provided in this study will be useful for developing adequate conservation strategies for these vulnerable deep-sea habitats.
    Keywords: Agassiz Trawl; AGT; Area/locality; Campaign; DATE/TIME; Deep-sea Sponge Grounds Ecosystems of the North Atlantic; DEPTH, water; Device type; Dredge, triangle; Event label; G. O. Sars (2003); Geodia; GS16A-202; GS2016109A; GS2016109A-06-ROV-01; GS2017110; GS2017110-09-ROV-6; GS2017110-23-ROV12; GS2017110-41-ROV-19; GS2017110-57-AGT-01; GS2017110-68-ROV-25; GS2017110-74-ROV-26; Hans Brattström; HB2016944; HB2016944_2; HB2016952; HB2016952_6; Histology; Investigator; KB2017610; KB2017610_DRG_43; Korsfjord; Kosterfjord; Kosterfjord_March_2019; Kristine Bonnevie; Latitude of event; Longitude of event; Nereus; Nereus20160405; Nereus20160405_ROV; Nsvalbard_2011-09-22; Porifera; Remote operated vehicle; Reproduction; Rosemary_Bank_2011-09-11; Rosemary_Bank_2012-09-19; Rosemary_Bank_2015-09-20; Rosemary_Bank_2016-09-19; Rosemary_Bank_2016-09-20; Rosemary Bank; ROV; Sample ID; Schultz Bank; Sex; Species; SponGES; Sula reef; Svalbard; TAD; Tromsøflaket
    Type: Dataset
    Format: text/tab-separated-values, 810 data points
    Location Call Number Expected Availability
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  • 3
    Publication Date: 2023-02-24
    Description: Collection data of 'lithistid' tetractinellid demosponges (Porifera) from the Tropical Western Atlantic studied by Schuster et al. It includes collection dates, museum voucher numbers, collection# from the Bavarian State Collection for Palaeontology and Geology, Munich, Bavaria, Germany (SNSB-BSPG.#), sponge barcoding# submission (SBD#), field collection#, gear, locality, coordinates, depth, DNA concentration of DNA extract and genbank accession number for genes 28S and COI.
    Keywords: 2DREDGE_1992-07-15; 2DREDGE_1992-07-19; Accession number, genetics; Bahamas; Bay of Plenty; Bonaire; Cavalli Seamounts; CLELIA597; CLELIA598; CLELIA602; Code; Comment; Cruise/expedition; Cuba; Curacao; DATE/TIME; Deep-sea Sponge Grounds Ecosystems of the North Atlantic; Deepworker_2001-02-22; Deepworker_2001-02-26; Deepworker_2001-03-24; Demospongiae; Deoxyribonucleic acid; Depth, bottom/max; Depth, top/min; DEPTH, water; Device type; DIVER; Dredge; DRG; Dry Tortugas; DW1694; EBS; Epibenthic sledge; Florida; Florida Keys; Grenada; Guadaloupe; Honduras; Identification; Ilheus Selvagem; Indonesia; Jamaica; JohnsonSeaLink_1993-05-23; JohnsonSeaLink_35738; JSL-I-3006; JSLI-3586; JSLI-3596; JSLI-3598; JSLI-3600; JSLI-3601; JSLI-3602; JSLI-3603; JSLI-3607; JSL-I-3790; JSL-I-3791; JSL-I-3799; JSL-I-3803; JSL-I-3804; JSL-I-3805; JSL-I-3806; JSL-I-3807; JSL-I-3810; JSL-I-3811; JSL-I-3812; JSL-I-3813; JSL-I-3816; JSL-I-3819; JSL-I-3825; JSL-I-3987; JSL-I-3994; JSL-I-3995; JSL-I-4000; JSL-I-4098; JSL-I-4099; JSL-I-4106; JSL-I-4107; JSL-I-4109; JSL-I-4111; JSLI-4113; JSL-I-4114; JSLI-4497; JSLI-4498; JSLI-4499; JSLI-4500; JSLI-4501; JSLI-4503; JSLI-4506; JSLI-4507; JSLI-4508; JSLI-4511; JSLI-4514; JSLI-4515; JSLI-4516; JSLI-4519; JSL-I4614; JSL-I4616; JSL-I4617; JSLII-1702; JSLII-1814; JSLII-1817; JSL-II-2722; JSL-II-2723; JSL-II-2724; JSL-II-2725; JSL-II-2727; JSL-II-2729; JSL-II-2733; JSL-II-2734; JSL-II-2735; JSLII-2791; JSLII-2797; JSLII-2798; JSLII-3007; JSLII-3008; JSLII-3009; JSLII-3011; JSLII-3013; JSLII-3014; JSLII-3018; JSLII-3019; JSLII-3020; JSLII-3021; JSLII-3023; JSLII-3025; JSLII-3026; JSLII-3027; JSLII-3028; JSLII-3029; JSLII-3031; JSLII-3032; JSLII-3035; JSLII-3036; JSLII-3037; JSLII-3041; JSL-II-3203; JSL-II-3204; JSL-II-3205; JSL-II-3209; JSL-II-3211; JSL-II-3212; JSL-II-3214; JSL-II-3218; JSL-II-3219; JSL-II-3223; JSL-II-3224; JSLII-3228; JSLII-3667; JSLII-3668; KAH_1999-04-19; KAH_1999-04-21; Kalbarri; Karmadec Islands; Kermadec Ridge; Kraken2-10; Kraken2-19; LATITUDE; lithistid; Location; LONGITUDE; Martinique; Mauritius; New Zealand; Ocean and sea region; Palau; Panama; Papua New Guinea; Philippines; Puerto Rico; Remote operated vehicle; rock sponges; ROV; ROVCherokeeDive#11; ROVCherokeeDive#7; Sabah; Sample_1966-10-10; Sample_1975-02-05; Sample_1975-07-25; Sample_1982-03-22; Sample_1989-11-27; Sample_1994-11-31; Sample_1998-04-03; Sample_1999-06-05; Sample_2000-11-04; Sample_2002-04-17; Sample_2002-04-18; Sample_2002-04-19; Sample_2004-11-13; Sample_2010-06-06; Sample_2012-04-18; Sample_2012-04-22; Sample_2012-04-23; Sample_2012-04-27; Sample_2012-10-18; Sampling by diver; SCUBA_1992-10-23; SCUBA_1993-05-19; SCUBA_1993-05-22; SCUBA_1993-05-25; SCUBA_1993-05-28; SCUBA_1993-08-19; SCUBA_1993-08-21; SCUBA_1993-08-23; SCUBA_1993-09-05; SCUBA_1993-10-19; SCUBA_1993-11-05; SCUBA_1994-02-08; SCUBA_1994-02-09; SCUBA_1994-07-21; SCUBA_1994-07-22; SCUBA_1995-03-03; SCUBA_1996-03-29; SCUBA_1996-06-05; SCUBA_1996-06-08; SCUBA_1996-11-12; SCUBA_1996-12-11; SCUBA_1997-04-16; SCUBA_1997-11-06; SCUBA_1997-11-07; SCUBA_1998-06-08; SCUBA_1998-06-09; SCUBA_1999-11-13; SCUBA_2000-05-14; SCUBA_2000-05-16; SCUBA_2000-11-16; SCUBA_2002-01-12; SCUBA_2002-11-24; SCUBA_2003-06-26; SCUBA_2003-07-03; SCUBA_2006-10-23; SCUBA_2008-07-25; SCUBA_2008-11-11; SCUBA_36664; SCUBA_36666; SCUBA_36667; SCUBA/SNOR_32693; Sled-NIWA_2003-05-21; Species; SponGES; SS0507/062; SS0507/116; SS0507/161; SS1005/102; St. Vincent; Station label; SUB; Submersible; Tetractinellida; Turks and Caicos; Vanuatu; Vietnam; Wanganella Bank; Western Atlantic; W-Sanibel Island
    Type: Dataset
    Format: text/tab-separated-values, 3514 data points
    Location Call Number Expected Availability
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  • 4
    Publication Date: 2024-02-02
    Description: This dataset contains occurrence records (i.e., species name, latitude, longitude, depth (where available), and metadata) for six species of the demosponge genus Geodia Lamarck, 1815, belonging to the Geodiidae family: Geodia atlantica (Stephens, 1915); Geodia barretti Bowerbank, 1858; Geodia macandrewii Bowerbank, 1858; Geodia phlegraei (Sollas, 1880); Geodia hentscheli Cárdenas et al. 2010; and Geodia parva Hansen, 1885. The records fall in the North Atlantic and Arctic Oceans, and are used/described in the linked article by Roberts et al. (2021). Note that the dataset provided has not been subjected to any of the filtering stages applied in that manuscript for the purposes of various novel biogeographical analyses (i.e., it is original and complete), and the taxonomic identifications have been rigorously checked (as described therein). Definitions of institution abbreviations used in the 'Museum Specimen / Picture Information' column of the dataset spreadsheet have been provided in an accompanying table (see Comment field below). Where records are derived from earlier literature sources, full references for citations given in the 'Campaign / Source' column (and further general information on many of the records) may be found in the articles by Cárdenas et al. (2010; 2013) and Cárdenas & Rapp (2015). An earlier version of this dataset may be accessed at the DRYAD repository: Cárdenas P, Rapp HT, Klitgaard AB, Best M, Thollesson M, Tendal OS (2013), Data from: Taxonomy, biogeography and DNA barcodes of Geodia species (Porifera, Demospongiae, Tetractinellida) in the Atlantic boreo-arctic region, Dryad, Dataset, doi:10.5061/dryad.td8sb
    Keywords: 87PA0028; 87PA0067; 87PA0078; 92PA0160002; 92PA0160005; 92PA0160014; 92PA0160028; 92PA0160050; 92PA0160052; 94PA0090001; 94PA0090002; 94PA0090009; 94PA0090010; 94PA0090019; 94PA0090020; 94PA0090026; 94PA0090039; 94PA0090041; 94PA0090043; 94PA0090045; 94PA0090049; 94PA0090062; Agassiz Trawl; AGT; Arctic Ocean; ARK-VII/2; ARK-XXII/1a; Barents Sea; BEAM; Beam trawl; BIODEEP2007_Dredge2; BIODEEP2007_ROV10; BIODEEP2007_ROV9; BIOFAR_St117; BIOFAR_St119; BIOFAR_St120; BIOFAR_St122; BIOFAR_St234; BIOFAR_St279; BIOFAR_St287; BIOFAR_St297; BIOFAR_St298; BIOFAR_St375; BIOFAR_St379; BIOFAR_St389; BIOFAR_St43; BIOFAR_St451; BIOFAR_St452; BIOFAR_St486; BIOFAR_St487; BIOFAR_St498; BIOFAR_St526; BIOFAR_St530; BIOFAR_St531; BIOFAR_St535; BIOFAR_St540; BIOFAR_St550; BIOFAR_St69; BIOFAR_St734; BIOFAR_St756; BIOFAR_St89; BIOFAR_St901; BIOICE_St2022; BIOICE_St2023; BIOICE_St2218; BIOICE_St2292; BIOICE_St2293; BIOICE_St2368; BIOICE_St2374; BIOICE_St2499; BIOICE_St2501; BIOICE_St2516; BIOICE_St2518; BIOICE_St2700; BIOICE_St2728; BIOICE_St2747; BIOICE_St2756; BIOICE_St2768; BIOICE_St2769; BIOICE_St2923; BIOICE_St2926; BIOICE_St2928; BIOICE_St3227; BIOICE_St3659; BIOICE_St3661; BIOSKAG2006_St20; BIOSYS2006_DR182; BIOSYS2006_VG20-1; Blacker1957_11; Blacker1957_130; Blacker1957_131; Blacker1957_14; Blacker1957_16; Blacker1957_164; Blacker1957_165; Blacker1957_168; Blacker1957_20; Blacker1957_21; Blacker1957_22; Blacker1957_24; Blacker1957_25; Blacker1957_27; Blacker1957_28; Blacker1957_33; Blacker1957_35; Blacker1957_36; Blacker1957_44; Blacker1957_45; Blacker1957_46; Blacker1957_53; Blacker1957_55; Blacker1957_56; Blacker1957_60; Blacker1957_61; Blacker1957_62; Blacker1957_68; Blacker1957_75; Blacker1957_8; Blacker1957_80; Blacker1957_81; Blacker1957_84; Blacker1957_9; Blacker1957_94; BMT19; Boury-Esnaultetal1994_CP62; Boury-Esnaultetal1994_CP63; Boury-Esnaultetal1994_CP92; Boury-Esnaultetal1994_CP98; Bowerbank1872a_Vikna; Bowerbank1872aPlateXI_Vikna; Brattholmen_St230407; Breitfuss1930_St1237; Breitfuss1930_St1347; Breitfuss1930_St1385; Burton1934_St548; Burton1959_EIceland; Burton1959_SEIceland; Campaign; CD80_St178; CD80_St18; CD80_St91; CE13008; CE13008_ROV32; CE2008-11_M11GHaul22; CE2008-11_M11GHaul23; Celtic Explorer; Celtic Sea; CENTOBBiogasII_DS33; CGB2011_11c-16-DR01; CGB2011_11c-19-ROV05; CGB2011_11c-30-DR05; CGB2011_11c-31-DR06; Comment; CorSeaCan_B12_CG_ACH_P01_20100809; CorSeaCan_B13_MOI-ACH-P06; CV13012_51; Dana_St6001; Davis Strait; Deep-sea Sponge Grounds Ecosystems of the North Atlantic; Depth, bottom/max; Depth, top/min; DEPTH, water; Dyrelivihavet2008_SandsfjordRogaland; E17044_SP17E44001; EBS; EcosystemBarentsSea2007_St2562; Epibenthic sledge; Event label; FRVScotia2012_S12_469; FRVScotia2012_S12/469; FRVScotia2012_S12-469; G. O. Sars (2003); Giant box corer; GKG; Greenland Sea; GS06/112; GS112_BMT19; GS14; GS14-AGT03; GS14-AGT07; GS14-DR02; GS14-DR09; GS14-DR12; H2DEEP2008_ROV5; HakonMosby_St237; HakonMosby_St242; HakonMosby_St245; HakonMosby_St86072701; HakonMosby_St93060602; HakonMosby_St93060612; HakonMosby_St93060613; HakonMosby_St93061106; Hentschel1929_St40; Hentschel1929_St41; Hentschel1929_St42; Howelletal2010_WSC11; Howelletal2010_WSCE10B; Howelletal2010_WSCE3; Howelletal2010_WSCE4; HUD2007-025_DiveR1059; HUD2010-029; HUD2010-029_R1335; HUD2010-029_R1336-07; HUD2010-029_R1339-10; HUD2010-029_R1340-12; HUD2010-029_R1340-4; HUD2010-029_R1341-18; HUD2013/29; HUD2013-029_DS1-I; Hudson; Iceland Sea; Identification; IngolfExpdt_St1; IngolfExpdt_St125; IngolfExpdt_St21; IngolfExpdt_St78; IngolfExpdt_St90; IngolfExpdt_St92; JAGO; Kara Sea; Kingstonetal1979_LabradorCoast; Koltun1964_St1; Koltun1964_St10; Koltun1964_St11; Koltun1964_St26; Koltun1964_St46; Koltun1964_St7; Koltun1964_St8; Koltun1964_St9; Koltun1966_NofFranzJosephLand; Koltun1966_NofKaraSea; Koltun1966_NWofLaptevSea; Labrador Sea; Langenuen_SteinnesetSt31; Laptev Sea; LATITUDE; LONGITUDE; Lundbeck1909_Angmagsalik; Lynch_St1971; Lynch_St1972; Lynch_St1973; Lynch_St721008; Lysefjord_Uksen; M85/3; M85/3_1123; M85/3_1132; M85/3_1136; M85/3_1219; M85/3_1223; MA0200057_St90; MagnusHeinason_St150990; MAR310_St1; Mareano_StR228-12; Mareano_StR262VL282; Mareano_StR828; Mareano_StR863; Mareano2009_StR469VL491; Mareano2011_StR729VL756; Mareano2011_StR731VL759; Mareano2011_StR744VL772; Mareano2011_StR758VL786; MAR-Eco2004_St50-373; MAR-Eco2004_St70_385; MAR-Eco2004_St70-385; MAR-Eco2004_St72-386; MedSeaCan_B7_MG_PO2_20090523; MedSeaCan_B7_PA_ACH_P02_20090519; Meteor (1986); More2005_St46; MULT; Multiple investigations; NEREIDA0609_BC89; NEREIDA0710_BC237; Nereida2009-2010_BC04; Nereida2009-2010_DR04-001; Nereida2009-2010_DR07-025; Nereida2009-2010_DR10; Nereida2009-2010_DR12; Nereida2009-2010_DR18; Nereida2009-2010_DR19; Nereida2009-2010_DR20; Nereida2009-2010_DR22; Nereida2009-2010_DR23; Nereida2009-2010_DR24; Nereida2009-2010_DR3; Nereida2009-2010_DR32; Nereida2009-2010_DR38; Nereida2009-2010_DR4; Nereida2009-2010_DR6; Nereida2009-2010_DR64; Nereida2009-2010_DR66; Nereida2009-2010_DR7; Nereida2009-2010_DR70; Nereida2009-2010_DR70_BOTTOM; Nereida2009-2010_DR74; Nereida2009-2010_DR74_BOTTOM; North Greenland Sea; North Sea; Norwegian Sea; PA2010-009_Set075; PA2010-009_Set104; PA2010-009_Set105; PA2010-009_Set108; PA2010-009_Set109; PA2010-009_Set111; PA2010-009_Set113; PA2010-009_Set114; PA2010-009_Set115; PA2010-009_Set116; PA2010-009_Set126; PA2010-009_Set141; PA2010-009_Set155; PA2010-009_Set156; PA2010-009_Set157; PA2010-009_Set159; PA2010-009_Set160; PA2010-009_Set161; PA2010-009_Set162; PA2010-009_Set163; PA2010-009_Set164; PA2010-009_Set167; PA2010-009_Set168; PAA2011007; PAA2011007_127_39; PAA2011007_225_114; PAA2011007_255_126; PAA2011007_262_128; PAA2011007_533_23; PAA2011007_634_139; PAA2013008; PAA2013008_157_44; PAA2013008_169_46; PAA2013008_174_47; PAA2013008_176_48; PAA2013008_177_50; PAA2013008_302_141; PAA2013008_305_142; PAA2013008_31_10; PAA2014007; PAA2014007_278_125; PAA2014007_286_127; PAA2014007_321_136; PAA2014007_514_152; PAA2015007; PAA2015007_126_32; PAA2015007_289_60; PAA2015007_299_62; PAA2015007_303_64; Paamiut; Polarstern; PS17; PS17/223; PS70; PS70/002-2; PS70/006-1; PS70/014-4; PS70/015-1; PS70/016-1; PS70/027-1; PS70/040-4; RVMichaelSars_St102; RVMichaelSars_St76; RVMichaelSars_St85; S10176_SP10176001; S11073_SP11073001; S11471_SP11471001; S12135_SP12135001; S12444_SP12444001; S12446_SP12446001; S12447; S15A13; S16185_SP16185001; S16379_SP16379003; S16A03_SP16A03017; S16A03_SP16A03029; S16A03_SP16A03039; S16A03_SP16A03041; S18A02; S18A03; Scotland Sea; ShinkaiMaru_St004; ShinkaiMaru_St109; ShinkaiMaru_St110; ShinkaiMaru_St15; ShinkaiMaru_St18; ShinkaiMaru_St1976; ShinkaiMaru_St21; ShinkaiMaru_St26; ShinkaiMaru_St29; ShinkaiMaru_St3; ShinkaiMaru_St32; ShinkaiMaru_St43; ShinkaiMaru_St50; ShinkaiMaru_St63; ShinkaiMaru_St70; ShinkaiMaru_St79; ShinkaiMaru_St9; ShinkaiMaru1987_St104; ShinkaiMaru1987_St67; Skagerrak; South Atlantic Ocean; Species; SponGES; St89SI0240086; Station label; Submersible JAGO; SwedishArcticExp1871_St37; T0406066; T8903301; T8905093; T8905125; T8905127; T8905185; T9405259; T9405264; T9405276; T9405305; T9405315; T9405317; T9406031; T9406032; T9406036; T9406066; ThalassaZ_Z407; ThalassaZ_Z408; Traena Deep; Trollholmflua; Tromso_Haugbernes; Western Basin; WH_St569; WH47566; WH47572; ZoolPolarExp1900_St30
    Type: Dataset
    Format: text/tab-separated-values, 2307 data points
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  • 5
    Publication Date: 2024-02-07
    Description: Highlights: • First time hybridization is detected in deep-water sponges (Phakellia) using SNPs. • Hybridization corroborated by morphological and microbial analyses. • Connectivity between shallow populations of Phakellia robusta spanning ca. 2,000 km. • Molecular connectivity explained by prevalent oceanographic currents. Abstract: Deep-sea North Atlantic sponge grounds are crucial components of the marine fauna providing a key role in ecosystem functioning. To properly develop effective conservation and management plans, it is crucial to understand the genetic diversity, molecular connectivity patterns and turnover at the population level of the species involved. Here we present the study of two congeneric sponges, Phakellia robusta and Phakellia hirondellei, using multiple sources of evidence. Our phylogenetic study using a fragment of COI placed these two species as sister. Haplotype network analysis using COI revealed no genetic structure for P. hirondellei in samples from the Cantabrian Sea (〈100 km). Contrastingly, P. robusta showed a clear genetic structure separating deep-water samples from the Cantabrian Sea and the Hatton-Rockall Basin, from samples from shallower waters from Kerry Head Reefs, NW of Orkney, and Norway. ddRADSeq-derived SNPs for P. robusta also segregated samples by bathymetry rather than by geographical distances, and detected a predominant northwards migration for shallow-water specimens connecting sites separated ca. 2,000 km, probably thanks to prevalent oceanographic currents. Importantly, our analysis using SNPs combining the datasets of the two species revealed the presence of potential hybrids, which was corroborated by morphological (spicule) and microbial (16S amplicon sequencing) analyses. Our data suggest that hybridization between these two species occurred at least two times in the past. We discuss the importance of using next-generation techniques to unveil hybridization and the implications of our results for conservation.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
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  • 6
    Publication Date: 2024-02-07
    Description: Host-microbe interactions play crucial roles in marine ecosystems. However, we still have very little understanding of the mechanisms that govern these relationships, the evolutionary processes that shape them, and their ecological consequences. The holobiont concept is a renewed paradigm in biology that can help to describe and understand these complex systems. It posits that a host and its associated microbiota with which it interacts, form a holobiont, and have to be studied together as a coherent biological and functional unit to understand its biology, ecology, and evolution. Here we discuss critical concepts and opportunities in marine holobiont research and identify key challenges in the field. We highlight the potential economic, sociological, and environmental impacts of the holobiont concept in marine biological, evolutionary, and environmental sciences. Given the connectivity and the unexplored biodiversity specific to marine ecosystems, a deeper understanding of such complex systems requires further technological and conceptual advances, e.g., the development of controlled experimental model systems for holobionts from all major lineages and the modeling of (info)chemical-mediated interactions between organisms. Here we propose that one significant challenge is to bridge cross-disciplinary research on tractable model systems in order to address key ecological and evolutionary questions. This first step is crucial to decipher the main drivers of the dynamics and evolution of holobionts and to account for the holobiont concept in applied areas, such as the conservation, management, and exploitation of marine ecosystems and resources, where practical solutions to predict and mitigate the impact of human activities are more important than ever.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
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  • 7
    Publication Date: 2024-02-07
    Description: Little is known about dispersal in deep-sea ecosystems, especially for sponges, which are abundant ecosystem engineers. Understanding patterns of gene flow in deep-sea sponges is essential, especially in areas where rising pressure from anthropogenic activities makes difficult to combine management and conservation. Here, we combined population genomics and oceanographic modelling to understand how Northeast Atlantic populations (Cantabrian Sea to Norway) of the deep-sea sponge Phakellia ventilabrum are connected. The analysis comprised ddRADseq derived SNP datasets of 166 individuals collected from 57 sampling stations from 17 different areas, including two Marine Protected Areas, one Special Area of Conservation and other areas with different levels of protection. The 4,017 neutral SNPs used indicated high connectivity and panmixis amongst the majority of areas (Ireland to Norway), spanning ca. 2,500-km at depths of 99–900 m. This was likely due to the presence of strong ocean currents allowing long-distance larval transport, as supported by our migration analysis and by 3D particle tracking modelling. On the contrary, the Cantabrian Sea and Roscoff (France) samples, the southernmost areas in our study, appeared disconnected from the remaining areas, probably due to prevailing current circulation patterns and topographic features, which might be acting as barriers for gene flow. Despite this major genetic break, our results suggest that all protected areas studied are well-connected with each other. Interestingly, analysis of SNPs under selection replicated results obtained for neutral SNPs. The relatively low genetic diversity observed along the study area, though, highlights the potential fragility of this species to changing climates, which might compromise resilience to future threats.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 8
    Publication Date: 2024-02-07
    Description: Sponges contain an astounding diversity of lipids that serve in several biological functions, including yolk formation in their oocytes and embryos. The study of lipid metabolism during reproduction can provide information on food-web dynamics and energetic needs of the populations in their habitats, however, there are no studies focusing on the lipid metabolism of sponges during their seasonal reproduction. In this study, we used histology, lipidome profiling (UHPLC-MS), and transcriptomic analysis (RNA-seq) on the deep-sea sponge Phakellia ventilabrum (Demospongiae, Bubarida), a key species of North-Atlantic sponge grounds, with the goal to (i) assess the reproductive strategy and seasonality of this species, (ii) examine the relative changes in the lipidome signal and the gene expression patterns of the enzymes participating in lipid metabolism during oogenesis. Phakellia ventilabrum is an oviparous and most certainly gonochoristic species, reproducing in May and September in the different studied areas. Half of the specimens were reproducing, generating two to five oocytes per mm(2). Oocytes accumulated lipid droplets and as oogenesis progressed, the signal of most of the unsaturated and monounsaturated triacylglycerides increased, as well as of a few other phospholipids. In parallel, we detected upregulation of genes in female tissues related to triacylglyceride biosynthesis and others related to fatty acid beta-oxidation. Triacylglycerides are likely the main type of lipid forming the yolk in P. ventilabrum since this lipid category has the most marked changes. In parallel, other lipid categories were engaged in fatty acid beta-oxidation to cover the energy requirements of female individuals during oogenesis. In this study, the reproductive activity of the sponge P. ventilabrum was studied for the first time uncovering their seasonality and revealing 759 lipids, including 155 triacylglycerides. Our study has ecological and evolutionary implications providing essential information for understanding the molecular basis of reproduction and the origins and formation of lipid yolk in early-branching metazoans.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
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