Integrative taxonomy of introduced Haplosclerida and three new species of Haliclona sponges from Hawai'i based on samples collected from a variety of habitats on O'ahu from 2016 to 2022

Website: https://www.bco-dmo.org/dataset/986889
Data Type: Other Field Results
Version: 1
Version Date: 2025-12-16

Project
» Testing the most striking tropical marine biodiversity gradient on the planet: does it hold for sponges? (Cryptobentic Sponge Gradients)

Program
» Indo-Pac Research Coordination Network (Indo-Pac RCN)
ContributorsAffiliationRole
Toonen, Robert J.University of Hawaiʻi at Mānoa (HIMB)Principal Investigator
Vicente, JanUniversity of Hawaiʻi at Mānoa (HIMB)Co-Principal Investigator
Lavrov, Dennis V.Iowa State UniversityScientist
Timmers, Molly A.National Geographic SocietyScientist
Martineau, GabrielleUniversity of Hawaiʻi at Mānoa (HIMB)Student
Rutkowski, Emily C.University of Hawaiʻi at Mānoa (HIMB)Student
Rauch, ShannonWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
This data supports the description of the following haplosclerida species in Hawai'i: Haliclona (Soestella) caerulea and Gelliodes conulosa sp. nov.,  Haliclona (Gellius) pahua sp. nov., Haliclona (Reniera) kahoe sp. nov., Haliclona (Rhizoniera) loe sp. nov. Accession numbers to mitochondrial and ribosomal RNA sequences are provided. Morphological data for each of the species are also provided.


Coverage

Location: Island of O'ahu, Hawai'i
Spatial Extent: N:21.6534 E:-157.7719 S:21.2937 W:-158.0626
Temporal Extent: 2016-11-01 - 2022-09-03

Methods & Sampling

Sample collection:
Sponges were photographed in situ and collected from a variety of habitats including: Autonomous Reef Monitoring Structures (ARMS), floating docks, pier pilings, marine mammal pens, and shallow (0.3 to 3 meters (m)) natural reef environments in Kāne'ohe Bay, Ke'ehi Harbor and Shark's Cove on the island of O'ahu, Hawai'i. Collections from ARMS were conducted monthly throughout a 2-year sampling period (July 2016 through June 2018) following methods in (Timmers et al. 2020) and Vicente et al. (2022). Sponge species were mapped using the ggmap v.3.0.901 package (Kahle & Wickham 2013) in R v.4.3.2 (R Core Team 2023). Field observations of morphology, color, consistency, surface, and oscules for each specimen were recorded. Samples were preserved in 95% ethanol and when enough material was available, were also fixed in 4% paraformaldehyde (PFA) for 24 hours and then transferred to 70% ethanol. Type and other specimens were deposited in the Florida Museum of Natural History (catalogue numbers beginning with acronym UF) in Florida, USA, and the Bernice Pauahi Bishop Museum (catalogue numbers beginning with acronym BPBM) in O'ahu, USA. Samples from Kāneʻohe Bay were collected under special activities collection permits SAP2018-03 and SAP2019-06 (covering the period of January 13, 2017, through April 10, 2019) issued by the State of Hawai'i Division of Aquatic Resources. Samples from Pūpūkea Marine Life Conservation District were collected under permit SAP2023-20 (covering the period of March 11, 2022, through March 10, 2023). Samples from Kewalo and Ke'ehi harbors were collected by the Division of Aquatic Resources Aquatic Invasive Species team, who do not require special activities permits.

DNA extraction, sequencing, and assembly:
Subsamples of sponge tissue (30 milligrams (mg)) were removed from type material preserved in 95% ethanol and were processed for DNA extraction. Two different approaches were utilized for DNA extraction and downstream analysis. First, we followed protocols in Vicente et al. (2022) for DNA extractions, polymerase chain reactions (PCR) for amplifying partial fragments of both 28S rRNA and COI genes and for Sanger sequencing. Forward and reverse reads were assembled, trimmed, and edited by eye using Geneious 10 (Kearse et al. 2012). Sequences were checked for contamination using the online BLAST server (Altschul et al. 1990) and results that showed at least 85% sequence identity to sponges were used for subsequent analysis. All assembled chromatograms resulted in >90% high-quality base pair reads with a mean Phred quality score 40. Second, total DNA from holotypes of Haliclona (Gellius) loe BPBM C1523, Haliclona (Reniera) kahoe BPBM C1539, Haliclona (Rhizoniera) pahua BPBM C1518, vouchers BPBM C1519, BPBM C1510 for Haliclona (Soestella) caerulea and Gelliodes conulosa, respectively, were extracted with a phenol-chloroform method modified from Saghai-Maroof et al. (1984) and used directly for library preparation with the Illumina True-Seq PCR free kit and low-coverage of whole genome sequencing on Illumina NovaSeq 6000 at the Iowa State University DNA facility. A detailed protocol for mitochondrial and ribosomal genome sequences for these samples can be found in Lavrov et al. (2025).

Phylogenetic analysis:
Haplosclerida sequences within GenBank closely resembling (>90% sequence identity) new sequences in our study were selected for the phylogenetic analysis. These only included sequences from species associated with voucher specimens associated with a peer-reviewed publication authored or coauthored by taxonomists. ClustalW with default parameters was used for aligning partial and complete 28S rRNA and COI sequences. Alignments consisted of 300 bp of the 28S and 480 bp of the COI gene sequence. RaxML (Stamatakis 2006) included Geneious 10 was used for maximum likelihood (ML) analysis with the GTR+GAMMA model of nucleotide substitution, 100 starting maximum parsimony trees, and 1,000 bootstrap replicates. Resulting bootstrap values of >50 from the ML posterior probabilities are shown on the tree. Phylogenetic trees were rooted on Ephydatia fluviatilis OX175335.1 and ON000190.1 for 28S and COI, respectively. Sequences of holotypes and other specimens for each species were deposited to GenBank under accession numbers: MW016123, MT452542, MT586742, MW016124, MW059074, MW143255, MW016168, MW059064, MW059059, MW016133, MT586743, MW016360, MW016153, MW016155, MW016154, MW059075, MW016154. 

Sectioning and spicule preparation:
Sponge pieces (3 to 5 cubic millimeters) containing both ectosomal and choanosomal tissue fixed in either 4% PFA or 95% ethanol were transferred to 70% ethanol. Sponge pieces were dehydrated in an alcohol series of 35%, 50% and 70%, 100% and embedded in paraffin. Sections >100 micrometers (μm) thick were cut perpendicular to the surface through the ectosome and choanosome with a microtome. In specimens where the ectosome was specialized, tangential sections across the sponge surface were made at 100 μm thickness. Small pieces were also boiled in nitric acid for 1 to 2 minutes or until solution turned clear. Spicules were let to settle, and the acid was discarded. Spicules were then rinsed two times with distilled water to remove the acid; water was then changed to 95% ethanol for storage. Spicules were suspended and a few drops were observed under light microscopy, photographed, and measured using ImageJ (Abràmofff et al. 2005) http://imagej.nih.gov/ij/). Fifty oxeas and, if present, ten sigmas per species were measured [lengths and widths, expressed herein as minimum–mean [±1 standard deviation (SD)]–maximum length / width in μm (n)]. A few drops of the spicule suspension were added to a stub, air dried, and imaged under a Hitachi S-4800 FESEM Scanning Electron Microscope (SEM) at the Biological Electron Microscope Facility at the University of Hawai'i Mānoa.

Summarizing morphological characters of congeneric comparative material:
Sponge species found throughout the Hawaiian Archipelago are shared with the Central Indo-Pacific (Australia, Philippines, the Mariana Archipelago), Temperate Australasia (New Zealand), Temperate Northern Pacific (Japan), the Eastern Mexican Pacific, Caribbean, Mediterranean and the Northeast Atlantic (Bergquist 1967; Carballo et al. 2013; de Laubenfels 1950; van Soest et al. 2021). We used the World Porifera database to include a summary of morphological characters for 51 Haliclona spp. closely resembling the new species in this study. These species were selected from geographic locations with shared species with the Hawaiian Archipelago. Species from the Temperate Atlantic, Black Sea, Arctic, or Southern Ocean were considered improbable species due to geographic barriers and temperate climates. Species from these ecoregions were therefore disregarded as comparative material.


BCO-DMO Processing Description

- Converted original file "Vicenteetal2025_Zootaxa_primary file.xls" to CSV format.
- Imported file "Vicenteetal2025_Zootaxa_primary file.csv" into the BCO-DMO system.
- Marked "NaN" as a missing data value (missing data are empty/blank in the final CSV file).
- Renamed fields to comply with BCO-DMO naming conventions.
- Replaced non-standard character em dash ("−") with hyphen ("-") in the length and width columns.
- Replaced non-standard character "±" with "+/-" in the length and width columns.
- Converted Date format to YYYY-MM-DD.
- Saved the final file as "986889_v1_haplosclerid_sponges_hi.csv".


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Data Files

File
986889_v1_haplosclerid_sponges_hi.csv
(Comma Separated Values (.csv), 5.79 KB)
MD5:aa7659eb4f39f8ee2480c60b9b8a010e
Primary data file for dataset ID 986889, version 1

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Related Publications

Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990). Basic local alignment search tool. Journal of Molecular Biology, 215(3), 403–410. doi:10.1016/s0022-2836(05)80360-2 https://doi.org/10.1016/S0022-2836(05)80360-2
Methods
Bergquist, P.R. (1967). Additions to the sponge fauna of the Hawaiian Islands. Micronesica 3:159–174.
Methods
Carballo, J. L., Aguilar-Camacho, J. M., Knapp, I. S., & Bell, J. J. (2013). Wide distributional range of marine sponges along the Pacific Ocean. Marine Biology Research, 9(8), 768–775. https://doi.org/10.1080/17451000.2013.765581
Methods
Kahle, D., & Wickham, H. (2013). ggmap: Spatial Visualization with ggplot2. The R Journal, 5(1), 144. https://doi.org/10.32614/rj-2013-014
Methods
Kearse, M., Moir, R., Wilson, A., Stones-Havas, S., Cheung, M., Sturrock, S., … Drummond, A. (2012). Geneious Basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics, 28(12), 1647–1649. doi:10.1093/bioinformatics/bts199
Software
Lavrov, D. V., Turner, T. L., & Vicente, J. (2025). Pervasive Mitochondrial tRNA Gene Loss in Clade B of Haplosclerid Sponges (Porifera, Demospongiae). Genome Biology and Evolution, 17(3). https://doi.org/10.1093/gbe/evaf020
Methods
R Core Team (2023). R: A language and environment for statistical computing. R v4.3.2. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/
Software
Saghai-Maroof, M. A., Soliman, K. M., Jorgensen, R. A., & Allard, R. W. (1984). Ribosomal DNA spacer-length polymorphisms in barley: mendelian inheritance, chromosomal location, and population dynamics. Proceedings of the National Academy of Sciences, 81(24), 8014–8018. https://doi.org/10.1073/pnas.81.24.8014
Methods
Stamatakis, A. (2006). RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics, 22(21), 2688–2690. doi:10.1093/bioinformatics/btl446
Methods
Timmers, M. A., Vicente, J., Webb, M., Jury, C. P., & Toonen, R. J. (2020). Sponging up diversity: Evaluating metabarcoding performance for a taxonomically challenging phylum within a complex cryptobenthic community. Environmental DNA, 4(1), 239–253. Portico. https://doi.org/10.1002/edn3.163
Methods
VAN SOEST, R. W. M., ARYASARI, R., & VOOGD, N. J. D. (2021). Mycale species of the tropical Indo-West Pacific (Porifera, Demospongiae, Poecilosclerida). Zootaxa, 4912(1). https://doi.org/10.11646/zootaxa.4912.1.1
Methods
VICENTE, J., RUTKOWSKI, E., LAVROV, D. V., MARTINEAU, G., TIMMERS, M., & TOONEN, R. J. (2025). Integrative taxonomy of introduced Haplosclerida and four new species from Hawaiʻi. Zootaxa, 5566(2), 243–272. https://doi.org/10.11646/zootaxa.5566.2.2
Results
Vicente, J., Webb, M.K., Paulay, G. et al. Unveiling hidden sponge biodiversity within the Hawaiian reef cryptofauna. Coral Reefs 41, 727–742 (2022). https://doi.org/10.1007/s00338-021-02109-7
Methods
Yang Yu, B., Elbuken, C., Ren, C. L., & Huissoon, J. P. (2011). Image processing and classification algorithm for yeast cell morphology in a microfluidic chip. Journal of Biomedical Optics, 16(6), 066008. https://doi.org/10.1117/1.3589100
Methods
de Laubenfels, M.W. (1950). The sponges of Kāne‘ohe Bay, O‘ahu. Pacific Science, 4, 256–271.
Methods

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Parameters

ParameterDescriptionUnits
Species

taxonomic assignment of voucher

unitless
Type

hotolotye or paratype. Holotype = a single type specimen upon which the description and name of a new species is based. Paratype = Other specimens cited in the original description, which are not the holotype but are considered part of the new species by the author

unitless
FMNH

Catalogue number of specimen being stored at the Florida museum of natural history (acronym FMNH)

unitless
BPBM_cat_no

Catalogue number of specimen being stored at the Bernic Pauahi Bishop Museum (acronym BPBM)

unitless
Field_code

identifier of specimen given at the time of collection in the field

unitless
COI_Genbank_acc_No

accession number given assigned by NCBI GenBank for the DNA sequence of the Cytochrome oxidase subunit 1 mitochondrial gene

unitless
Genbank_acc_No_28S

accession number given by NCBI GenBank for the DNA sequence of the 28S large ribosomal subunit gene

unitless
Date

the year, month, and day of the collected specimen

unitless
Lat

latitude

decimal degrees
Long

longitude

decimal degrees
Oxeas_Length_um

length of needle like spicules known as oxeas

micrometers
Oxeas_Width_um

width of needle like spicules known as oxeas

mircrometers


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Instruments

Dataset-specific Instrument Name
Illumina NovaSeq 6000
Generic Instrument Name
Automated DNA Sequencer
Dataset-specific Description
whole genome sequencing on Illumina NovaSeq 6000 at the Iowa State University DNA facility
Generic Instrument Description
A DNA sequencer is an instrument that determines the order of deoxynucleotides in deoxyribonucleic acid sequences.

Dataset-specific Instrument Name
Autonomous Reef Monitoring Structures (ARMS)
Generic Instrument Name
Autonomous Reef Monitoring Structure
Dataset-specific Description
Sponges were photographed in situ and collected from a variety of habitats including: Autonomous Reef Monitoring Structures (ARMS), floating docks, pier pilings, marine mammal pens, and shallow (0.3 to 3 meters (m)) natural reef environments in Kāne'ohe Bay, Ke'ehi Harbor and Shark's Cove on the island of O'ahu, Hawai'i.
Generic Instrument Description
Autonomous Reef Monitoring Structures (ARMS) are standardized, passive collectors made of stacked PVC plates designed to mimic the structural complexity of hard-bottom habitats (especially coral reefs), so that colonizing invertebrates and other cryptic fauna settle on them. They are deployed on the seafloor for months to years and then recovered to quantify community composition using taxonomic and/or molecular methods, enabling comparable biodiversity monitoring across sites and through time. ARMS are used globally by research networks (e.g., NOAA, Smithsonian, ARMS-MBON) to compare reef communities across sites, depths, and time periods using identical sampling units. Because the design is standardized, ARMS enable consistent biodiversity monitoring, long-term ecological assessment, and detection of changes such as species invasions, reef degradation, or shifts in cryptic community structure. They are relatively low-cost, require no power, and integrate well with molecular workflows, making them a widely adopted tool for assessing and comparing hard-bottom marine biodiversity.

Dataset-specific Instrument Name
light microscopy
Generic Instrument Name
Microscope - Optical
Generic Instrument Description
Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a "light microscope".

Dataset-specific Instrument Name
Hitachi S-4800 FESEM Scanning Electron Microscope (SEM)
Generic Instrument Name
Scanning Electron Microscope
Dataset-specific Description
a Hitachi S-4800 FESEM Scanning Electron Microscope (SEM) at the Biological Electron Microscope Facility at the University of Hawai'i Mānoa
Generic Instrument Description
A scanning electron microscope (SEM) scans a focused electron beam over a surface to create an image. The electrons in the beam interact with the sample, producing various signals that can be used to obtain information about the surface topography and composition.

Dataset-specific Instrument Name
PCR
Generic Instrument Name
Thermal Cycler
Dataset-specific Description
polymerase chain reactions (PCR)
Generic Instrument Description
A thermal cycler or "thermocycler" is a general term for a type of laboratory apparatus, commonly used for performing polymerase chain reaction (PCR), that is capable of repeatedly altering and maintaining specific temperatures for defined periods of time. The device has a thermal block with holes where tubes with the PCR reaction mixtures can be inserted. The cycler then raises and lowers the temperature of the block in discrete, pre-programmed steps. They can also be used to facilitate other temperature-sensitive reactions, including restriction enzyme digestion or rapid diagnostics. (adapted from http://serc.carleton.edu/microbelife/research_methods/genomics/pcr.html)


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Project Information

Testing the most striking tropical marine biodiversity gradient on the planet: does it hold for sponges? (Cryptobentic Sponge Gradients)

Coverage: Indo-Pacific


NSF Award Abstract:
Coral reefs are among the most species-rich ecosystems on the planet, occupying only about 1% of the seafloor, but housing more than a quarter of known marine biodiversity. Sometimes called the rainforests of the sea, coral reefs have great intrinsic biological, cultural and economic value. Nearly a billion people across the planet rely on coral reef ecosystems as a significant source of their diet, and the annual economic benefits of coral reefs are estimated to be around $9.9 Trillion USD. Thus, the global decline of coral reefs by an estimated 30-50% since the 1980s is of considerable concern as scientists struggle to understand whether species are being lost before they are even discovered. While coral reefs are spectacularly diverse, the majority of this biodiversity actually lives hidden deep within the three-dimensional framework of the reef itself. This hidden (or cryptic) community of organisms are both dramatically understudied and fundamentally important for the persistence of coral reefs. Sponges are a dominant group among these cryptic organisms within the reef which provide food from the bottom of the food chain and help sustain coral reef biodiversity. Despite the vital ecological role of sponges on coral reefs, little is known about their diversity, abundance or species ranges across the Indo-Pacific. For example, the most striking marine biodiversity gradient on the planet is described from several of the visibly dominant groups on coral reefs, including corals and reef fishes. From the global hotspot of species richness in the Indo-Pacific Coral Triangle there is a sharp eastward decline in species numbers to more remote oceanic islands in the Central Pacific, such as the Hawaiian Archipelago. However, no survey to date has evaluated whether the diversity of poorly known cryptic coral reef species, such as sponges, show the same pattern as the visible species that dominate the surface of the reef. Summer training modules introduce at-risk Pacific Islander youth to coral reef biodiversity to recruit and train a new generation of sponge taxonomists. Identification guides are being produced to help resource managers in establishing a baseline of sponge diversity, which allows resource managers to identify and protect native species, improves detection of alien species introductions and serves as a tool for monitoring changes in the ecosystem in response to human impacts. The work is being disseminated widely through scientific literature, public and professional presentations, popular press articles, and an educational display about sponges and coral reef biology in collaboration with the Waikīkī Aquarium.

This important knowledge gap is addressed by analyzing an existing backlog of standardized sampling devices (ARMS) collected from throughout the Pacific Ocean to determine whether sponges that live largely unseen within the reef framework follow the same diversity gradient as has been previously reported for fish and corals. By integrating taxonomy with multi-locus DNA barcoding and metabarcoding, this project is documenting species richness and biodiversity patterns among the cryptic sponge community across five ecoregions spanning over 10,000 km of the tropical Pacific. These collections include many new species and are providing vouchered DNA barcodes to existing reference databases that currently include fewer than 1% of sponge species across the planet. Sponges are a rich source for pharmaceutical development, so discovery of new species also provides opportunity for exploration of natural products from both the sponges and culturable microbes associated with them. By examining sponge species occurrence and diversity along both environmental and anthropogenic gradients in each ecoregion, the data also address whether coral reef sponges can serve as indicators of human impacts. Collectively, these results are transforming our knowledge of tropical Pacific sponge biodiversity, species ranges, and providing much-needed reference barcodes to global sequence databases. By determining whether sponges show the same Indo-Pacific richness gradient as reported in fishes and corals, this project is testing how well generalizations made from the visible subset of species that live on the surface of coral reefs apply to rest of coral reef biodiversity. This study is greatly advancing our knowledge of Pacific coral reef sponges and will ultimately inform the scale over which vital ecological roles performed by this understudied taxon, such as the production of nutrients at the bottom of the food chain, are acting across the Pacific.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.



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Program Information

Indo-Pac Research Coordination Network (Indo-Pac RCN)



Description from NSF award abstract:
The objective of this Research Coordination Network project is to develop an international network of researchers who use genetic methodologies to study the ecology and evolution of marine organisms in the Indo-Pacific to share data, ideas and methods. The tropical Indian and Pacific Oceans encompass the largest biogeographic region on the planet, the Indo-Pacific. It spans over half of the Earth's circumference and includes the exclusive economic zones of over 50 nations and territories. The Indo-Pacific is also home to our world's most diverse marine environments. The enormity and diversity of the Indo-Pacific poses tremendous logistical, political and financial obstacles to individual researchers and laboratories attempting to study the marine biology of the region. Genetic methods can provide invaluable information for our understanding of processes ranging from individual dispersal to the composition and assembly of entire marine communities.

The project will:
(1) assemble a unique, open access database of population genetic data and associated metadata that is compatible with the developing genomic and biological diversity standards for data archiving,
(2) facilitate open communication and collaboration among researchers from across the region through international workshops, virtual communication and a collaborative website,
(3) promote training in the use of genetic methodologies in ecology and evolution for researchers from developing countries through these same venues, and
(4) use the assembled database to address fundamental questions about the evolution of species and the reservoirs of genetic diversity in the Indo-Pacific.

The network will provide a model for international collaborative networks and genetic databasing in biodiversity research that extends beyond the results of this Research Coordination Network effort.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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