ERGA-BGE reference genome of 
                    Phorcus turbinatus - a water quality biomarker and species distributed along the Mediterranean coast

Judit Salces-Ortiz; Klara Eleftheriadi; Fernando Ángel Fernandez-Álvarez; Rosa Fernández; Astrid Böhne; Rita Monteiro; Thomas Marcussen; Torsten H. Struck; Rebekah A. Oomen; Marta Gut; Laura Aguilera; Francisco Câmara Ferreira; Fernando Cruz; Jèssica Gómez-Garrido; Tyler S. Alioto; Fergal Martin; Anna Lazar; Leanne Haggerty; Chiara Bortoluzzi

doi:10.12688/openreseurope.23162.1

ERGA-BGE reference genome of Phorcus turbinatus - a water quality biomarker and species distributed along the Mediterranean coast

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March 25, 2026

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https://doi.org/10.12688/openreseurope.23162.1

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UK Research and Innovation (UKRI)
European Commission

Grant ID(s): RYC2023-043494-I, 101059492
Ministerio de Ciencia, Innovación y Universidades

Grant ID(s): RYC2023-043494-I
Swiss State Secretariat for Education, Research and Innovation (SERI)

Grant ID(s): 22.00173, 24.00054

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Phorcus turbinatus, genome assembly, European Reference Genome Atlas, Biodiversity Genomics Europe, Earth Biogenome Project, biodiversity hotspot

Abstract

Phorcus turbinatus (turbinate monodont; Mollusca, Trochidae) is widely used as a biomarker of water quality and numerous scientific studies rely on this species for environmental and genomic research. Consequently, the generation of a chromosome-level assembly for P. turbinatus is of substantial scientific interest. Most of the genome sequence was assembled into 18 contiguous chromosomal pseudomolecules and the mitochondrial genome. This chromosome-level assembly encompasses 0.95 Gb, composed of 104 contigs and 103 scaffolds, with a contig and scaffold N50 of 50.6 Mb.

Corresponding author

Chiara Bortoluzzi

0000-0001-6589-6635

chiara.bortoluzzi@sib.swiss

Grant information

Biodiversity Genomics Europe (Grant no. 101059492) is funded by Horizon Europe under the Biodiversity, Circular Economy and Environment call (REA.B.3); co-funded by the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract numbers 22.00173 and 24.00054; and by the UK Research and Innovation (UKRI) under the Department for Business, Energy and Industrial Strategy’s Horizon Europe Guarantee Scheme. F.Á.F.-Á. was supported by a Ramón y Cajal fellowship (Ref. RYC2023-043494-I) funded by MCIN/AEI /10.13039/501100011033 and FSE+.

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

© 2026 Judit Salces-Ortiz (Co-Author); Klara Eleftheriadi (Co-Author); Fernando Ángel Fernandez-Álvarez (Co-Author); Rosa Fernández (Co-Author); Astrid Böhne (Co-Author); Rita Monteiro (Co-Author); Thomas Marcussen (Co-Author); Torsten H. Struck (Co-Author); Rebekah A. Oomen (Co-Author); Marta Gut (Co-Author); Laura Aguilera (Co-Author); Francisco Câmara Ferreira (Co-Author); Fernando Cruz (Co-Author); Jèssica Gómez-Garrido (Co-Author); Tyler S. Alioto (Co-Author); Fergal Martin (Co-Author); Anna Lazar (Co-Author); Leanne Haggerty (Co-Author); Chiara Bortoluzzi (Corresponding Author, Co-Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.

First version published

March 25, 2026 (https://doi.org/10.12688/openreseurope.23162.1)

Latest version published

March 25, 2026 (https://doi.org/10.12688/openreseurope.23162.1)

Introduction

Phorcus turbinatus is a marine gastropod mollusc belonging to the family Trochidae. The species is endemic to Mediterranean coastal regions, particularly along the shores of Spain, Italy and Greece, an area recognised as a European biodiversity hotspot. P. turbinatus commonly inhabits intertidal and shallow subtidal rocky habitats, where it contributes to the regulation of algal growth and plays an important role in structuring coastal benthic ecosystems. Owing to its sensitivity to environmental stressors and its ability to bioaccumulate pollutants, P. turbinatus is widely used as a biomarker species for assessing water quality and coastal ecosystem health and is frequently included in environmental monitoring and ecological studies.

Despite its scientific relevance, P. turbinatus is not currently listed under any conservation category in the IUCN Red List and no specific conservation measures have been reported. Given its ecological importance and extensive use in research, the generation of a chromosome-level genome assembly for P. turbinatus represents a valuable resource. Making such genomic data rapidly available to the scientific community will support future studies in environmental monitoring, ecology, and evolutionary biology.

The generation of this reference resource was coordinated by the European Reference Genome Atlas (ERGA) initiative’s Biodiversity Genomics Europe (BGE) project, supporting ERGA’s aims of promoting transnational cooperation to promote advances in the application of genomics technologies to protect and restore biodiversity (Mazzoni et al., 2023).

Materials & Methods

ERGA’s sequencing strategy includes Oxford Nanopore Technology (ONT) and/or Pacific Biosciences (PacBio) for long-read sequencing, along with Hi-C sequencing for chromosomal architecture, Illumina Paired-End (PE) for polishing (i.e. recommended for ONT-only assemblies), and RNA sequencing for transcriptomic profiling, to facilitate genome assembly and annotation. In the case of this species, it was not possible to obtain a Hi-C library. However, chromosome territories could be confirmed by alignment to the chromosome-level assembly of a sister species, Phorcus lineatus (xgPhoLine1.1).

Sample and sampling information

On 28th November 2022, Judit Salces Ortiz, Klara Eleftheriadi, Fernando A. Fernández-Álvarez, and Rosa Fernández sampled five specimens of Phorcus turbinatus (sex unknown). Sampling took place in Cala de Niu, Sant Feliu de Guixols, Spain. The species was identified by Fernando Ángel Fernández-Álvarez based on morphology through the website Malacological Pictures (https://malacopics.nl/db/index.php).

The biological material collected in Spain and used to generate digital sequences, was retrieved from wildlife taxa regulated by the Spanish Royal Decree 124/2017. No ABS permits were granted as utilization of the material falls under exemption in Article 3(2) of the Spanish Royal Decree 124/2017 and was confirmed by the national authorities. Once collected, specimens were euthanized by being flash frozen in liquid nitrogen and were kept at −70 °C until DNA extraction.

Vouchering information

Physical reference materials for the here sequenced specimen have been deposited in the Museo Nacional de Ciencias Naturales (MNCN) https://www.mncn.csic.es/es under the accession number MNCN-ADN 151.725. Frozen reference tissue material of foot muscle is available from the same individual at the Biobank of the Museo Nacional de Ciencias Naturales (MNCN) https://www.mncn.csic.es/es under the voucher ID MNCN-ADN 151.724.

Data availability

Phorcus turbinatus and the related genomic study were assigned to Tree of Life ID (ToLID) ‘xgPhoTurb1’ and all sample, sequence, and assembly information are available from the INSDC under the umbrella BioProject PRJEB88157. The sample information is available at the following BioSample accessions: SAMEA114492921, SAMEA114492923, and SAMEA114492925. The genome assembly is accessible from ENA under accession number GCA_965237135.1 and the annotated genome is available through the Ensembl webpage (https://projects.ensembl.org/erga-bge/). Sequencing data produced as part of this project are available from ENA at the following accessions: ERX14228952, ERX14228953, ERX14228954, and ERX14228955. Documentation related to the genome assembly and curation can be found in the ERGA Assembly Report (EAR) document available at https://github.com/ERGA-consortium/EARs/tree/main/Assembly_Reports/Phorcus_turbinatus/xgPhoTurb1. Further details and data about the project are hosted on the ERGA portal at https://portal.erga-biodiversity.eu/data_portal/43341.

Genetic information

The estimated genome size, based on ancestral taxa, is 1.91 Gb. This is a diploid genome with a haploid number of 9 chromosomes (2n = 18). All information for this species was retrieved from Genomes on a Tree (Challis et al., 2023).

DNA/RNA processing

DNA was extracted from the body with a shell using the Blood & Cell Culture DNA Mini Kit (Qiagen) following the manufacturer’s instructions. DNA quantification was performed using a Qubit dsDNA BR Assay Kit (Thermo Fisher Scientific), and DNA integrity was assessed using a Genomic DNA 165 Kb Kit (Agilent) on the Femto Pulse system (Agilent). The DNA was stored at +4 °C until sequenced.

RNA was extracted from the body with a shell using an RNeasy Mini Kit (Qiagen) according to the manufacturer’s instructions. RNA quantification was performed using the Qubit RNA BR kit, and RNA integrity was assessed using a Bioanalyzer 2100 system (Agilent) RNA 6000 Nano Kit (Agilent). The RNA was stored at −80 °C until sequenced.

Library preparation and sequencing

For long-read whole genome sequencing, two libraries were prepared using the SQK-LSK114 Kit (Oxford Nanopore Technologies, ONT), which were then sequenced across three R10.4.1 flow cells on a PromethION 24 A Series instrument (ONT). A short-read whole-genome sequencing library was prepared using the KAPA Hyper Prep Kit (Roche). The RNA library was prepared using the KAPA mRNA Hyper prep kit (Roche). All short-read libraries were sequenced on a NovaSeq 6000 instrument (2x151bp, Illumina). In total 234x Oxford Nanopore and 135x Illumina WGS shotgun data were sequenced to generate the assembly.

Genome assembly methods

The genome was assembled using the CNAG CLAWS pipeline v2.3 (Gomez-Garrido, 2024). Briefly, reads were preprocessed for quality and length using Trim Galore v0.6.7 and Filtlong v0.2.1, and initial contigs were assembled using hifiasm v0.24.0 (Cheng et al. 2024) with options --dual-scaf --ont. As we used Q20+ ONT and QV of the primary assembly was already 59.7, no polishing with Illumina was required. In absence of Hi-C data, we aligned the contigs to the Phorcus lineatus chromosome-level assembly (GCA_921293015.1) using minimap2 v2.24 (Li 2016) with a maximum sequence divergence of 1%. The whole genome alignment (WGA) confirmed chromosomal status for 17 contigs and supported the joining of two other contigs aligning to chromosome 17 into a super-scaffold. Both contigs contain terminal telomeric repeats confirming their orientation and the telomere-to-telomere integrity of the super-scaffold. Finally, the mitochondrial genome was assembled as a single circular contig of 17,345 bp using the FOAM pipeline (https://github.com/cnag-aat/FOAM) and included in the released assembly (GCA_965237135.1). Summary analysis of the released assembly was performed using the ERGA-BGE Genome Report ASM Galaxy workflow (https://doi.org/10.48546/workflowhub.workflow.1103.2).

Genome annotation methods

A gene set was generated using the Ensembl Gene Annotation system (Aken et al., 2016), primarily by aligning publicly available short-read RNA-seq data from BioSample: SAMEA114492923 to the genome. Gaps in the annotation were filled via protein-to-genome alignments of a select set of clade-specific proteins from UniProt (The UniProt Consortium, 2019), which had experimental evidence at the protein or transcript level. At each locus, data were aggregated and consolidated, prioritising models derived from RNA-seq data, resulting in a final set of gene models and associated non-redundant transcript sets. To distinguish true isoforms from fragments, the likelihood of each open reading frame (ORF) was evaluated against known [metazoan|plant|fungal] proteins. Low-quality transcript models, such as those showing evidence of fragmented ORFs, were removed. In cases where RNA-seq data were fragmented or absent, homology data were prioritised, favouring longer transcripts with strong intron support from short-read data. The resulting gene models were classified into two categories: protein-coding, and long non-coding. Models that did not overlap protein-coding genes and were constructed from transcriptomic data were considered potential lncRNAs. Potential lncRNAs were further filtered to remove single-exon loci due to their unreliability. Putative miRNAs were predicted by performing a BLAST search of miRBase (Kozomara et al., 2019) against the genome, followed by RNAfold analysis (Gruber et al., 2008). Other small non-coding loci were identified by scanning the genome with Rfam (Kalvari et al., 2018) and passing the results through Infernal (Nawrocki & Eddy, 2013). Summary analysis of the released annotation was carried out using the ERGA-BGE Genome Report ANNOT Galaxy workflow (https://doi.org/10.48546/workflowhub.workflow.1096.1).

Results

Genome assembly

The genome assembly has a total length of 951,702,898 bp in 103 scaffolds including the mitogenome ( Figures 1 & 2), with a GC content of 35.5%. The assembly has a contig N50 of 50,589,882 bp and L50 of 8 and a scaffold N50 of 50,589,882 bp and L50 of 8. The assembly has a total of one gap, totalling 0.5 kb in cumulative size. The total sequence assigned to chromosomes is 99.57%. The divergence time between P. turbinatus and sister species P. lineatus was estimated to be as high as 16 MYA (14.0–16.1 MYA) (Kumar et al. 2017). Despite the large divergence, chromosomes are strongly collinear, showing several inversions but few translocations ( Figure 2). The single-copy gene content analysis using the Eukaryota database (odb10) with BUSCO (Manni et al., 2021) resulted in 99.6% completeness (98.9% single and 0.8% duplicated). 64.74% of reads k-mers were present in the assembly and the assembly has a base accuracy Quality Value (QV) of 73.83 as calculated by Merqury (Rhie et al., 2020).

Figure 1. Snail plot summary of assembly statistics.

The main plot is divided into 1,000 size-ordered bins around the circumference, with each bin representing 0.1% of the 951,702,898 bp assembly including the mitochondrial genome. The distribution of sequence lengths is shown in dark grey, with the plot radius scaled to the longest sequence present in the assembly (82.3 Mb, shown in red). Orange and pale-orange arcs show the scaffold N50 and N90 sequence lengths (50,589,882 and 44,257,409 bp), respectively. The pale grey spiral shows the cumulative sequence count on a log-scale, with white scale lines showing successive orders of magnitude. The blue and pale-blue area around the outside of the plot shows the distribution of GC, AT, and N percentages in the same bins as the inner plot. A summary of complete, fragmented, duplicated, and missing BUSCO genes found in the assembled genome from the Eukaryota database (odb10) is shown in the top right.

Figure 2. Whole-genome-alignment with Phorcus lineatus.

Dot-Plot of the minimap2 WGA between the two chromosome-level assemblies of Phorcus lineatus (X-axis) and Phorcus turbinatus (Y-axis) showing the strongest alignments between chromosomes. The plot was produced using D-GENIES (Cabanettes and Klopp, 2018). Note that chromosomes are numbered according to size, not karyotype; for example, chr12 of P. turbinatus and chr9 of P.lineatus derive from the same ancestral chromosome but have different names.

Genome annotation

The genome annotation consists of 40,094 protein-coding genes with associated 58,414 transcripts, in addition to 10,944 non-coding genes ( Table 1). Using the longest isoform per transcript, the single-copy gene content analysis using the Eukaryota database (odb10) with BUSCO resulted in 99.2% completeness. Using the OMAmer Metazoa-v2.0.0.h5 database for OMArk (Nevers et al., 2025) resulted in 96.0% completeness and 62.0% consistency ( Table 2).

Table 1. Statistics from assembled gene models.

	No. genes	No. transcripts	Mean gene length (bp)	No. single-exon genes	Mean exons per transcript
mRNA	40,094	58,414	16,269	1,248	9.3
pseudogene	0.0	0.0	0.0	0.0	0.0
snoRNA	98	98	150	98	1.0
lncRNA	3,741	4,101	7,886	15	2.4
tRNA	6,007	6,007	78	6,007	1.0
snRNA	969	969	159	969	1.0
rRNA	128	128	532	128	1.0
scRNA	1	1	129	1	1.0
Other ncRNA	10,979	10,979	75–105	10,979	1.0–1.0

Table 2. Annotation completeness and consistency scores calculated by BUSCO run in protein mode (eukaryota_odb10) and OMArk (Metazoa-v2.0.0.h5).

	Complete	Singular	Duplicated	Fragmented	Missing
BUSCO	253 (99.2%)	0.0 (0.0%)	253 (99.2%)	1 (0.4%)	1 (0.4%)
OMArk	2,065 (96.0%)	346 (16.1%)	1,719 (79.9%)	-	88 (4.1%)

	Consistent	Inconsistent	Contaminants	Unknown
OMArk	24,868 (62.0%)	4,478 (11.2%)	0.0 (0.0%)	10,748 (26.8%)

Author contributions

JS-O, KE, FÁFÁ and RF coordinated the project; JS-O, KE, FÁFÁ and RF collected the species; FÁFÁ identified the species; JS-O sampled and preserved biological material and provided metadata; AsB, RM, TM, RAO, and THS provided support in sampling, shipping of biological material, metadata collection, and management; LA and MG extracted DNA, prepared libraries, and performed sequencing; FCF, FC, and JG-G performed genome assembly and curation under the supervision of TSA; FM and LH performed genome annotation; CB generated the analysis and report. All authors contributed to the writing, review, and editing of this genome note and read and approved the final version.

Acknowledgements

We acknowledge the support of the Freiburg Galaxy Team: Saim Momin and Björn Grüning, Bioinformatics, University of Freiburg (Germany), funded by the German Federal Ministry of Education and Research BMBF grant 031 A538A de. NBI-RBC and the Ministry of Science, Research and the Arts Baden-Württemberg (MWK) within the framework of LIBIS/de. NBI Freiburg. We would like to acknowledge the assembly reviewer Benjamin Istace from Genoscope.

References

Aken BL, Ayling S, Barrell D, et al.: The Ensembl gene annotation system. Database. 2016; 2016: baw093. Publisher Full Text
Cabanettes F, Klopp C: D-GENIES: dot plot large genomes in an interactive, efficient and simple way. PeerJ. 2018; 6: e4958. PubMed Abstract | Publisher Full Text | Free Full Text
Challis R, Kumar S, Sotero-Caio C, et al.: Genomes on a Tree (GoaT): A versatile, scalable search engine for genomic and sequencing project metadata across the eukaryotic tree of life. Wellcome Open Research. 2023; 8: 24. Publisher Full Text
Cheng H, Asri M, Lucas J, et al.: Scalable telomere-to-telomere assembly for diploid and polyploid genomes with double graph. Nat. Methods. 2024; 21: 967–970. PubMed Abstract | Free Full Text
Consortium, U: UniProt: A worldwide hub of protein knowledge. Nucleic Acids Res. 2019; 47(D1): D506–D515.
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Kozomara A, Birgaoanu M, Griffiths-Jones S: miRBase: From microRNA sequences to function. Nucleic Acids Res. 2019; 47(D1): D155–D162. Publisher Full Text
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Li H: Minimap and miniasm: fast mapping and de novo assembly for noisy long sequences. Bioinformatics. 2016; 32(14): 2103–2110. Publisher Full Text
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Section

Data Note

Published

March 25, 2026

DOI

https://doi.org/10.12688/openreseurope.23162.1

Versions

March 25, 2026 (Published Manuscript Under Review 1.0)

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Funding data

UK Research and Innovation (UKRI)
European Commission

Grant ID(s): RYC2023-043494-I, 101059492
Ministerio de Ciencia, Innovación y Universidades

Grant ID(s): RYC2023-043494-I
Swiss State Secretariat for Education, Research and Innovation (SERI)

Grant ID(s): 22.00173, 24.00054

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Keywords

Phorcus turbinatus, genome assembly, European Reference Genome Atlas, Biodiversity Genomics Europe, Earth Biogenome Project, biodiversity hotspot

Comments

Judit Salces-Ortiz

Metazoa Phylogenomics and Genome Evolution Lab, Passeig maritim de la Barceloneta 37-49, Institute of Evolutionary Biology (CSIC-UPF)., Barcelona, 08003, Spain

Roles

Co-Author, Investigation, Methodology, Project Administration, Resources, Writing – Original Draft Preparation, Writing – Review & Editing

0000-0002-3572-4020

judit.salces@ibe.upf-csic.es

Klara Eleftheriadi

Metazoa Phylogenomics and Genome Evolution Lab, Passeig maritim de la Barceloneta 37-49, Institute of Evolutionary Biology (CSIC-UPF)., Barcelona, 08003, Spain

Roles

Co-Author, Investigation, Methodology, Project Administration, Resources, Writing – Review & Editing

klara.eleftheriadi@ibe.upf-csic.es

Fernando Ángel Fernandez-Álvarez

Centro Oceanográfico de Gijón (IEO, CSIC), Av. del Príncipe de Asturias 70 Bis, Instituto Español de Oceanografía, Gijón, 33212, Spain

Roles

Co-Author, Investigation, Methodology, Project Administration, Resources, Writing – Review & Editing

0000-0002-8679-7377

fafernandez@icm.csic.es

Rosa Fernández

Metazoa Phylogenomics and Genome Evolution Lab, Passeig maritim de la Barceloneta 37-49, Institute of Evolutionary Biology (CSIC-UPF)., Barcelona, 08003, Spain

Roles

Co-Author, Investigation, Methodology, Project Administration, Resources, Supervision, Writing – Review & Editing

rosa.fernandez@ibe.upf-csic.es

Astrid Böhne

Leibniz Institute for the Analysis of Biodiversity Change, Adenauerallee127, Museum Koenig Bonn, Bonn, 53113, Germany

Roles

Co-Author, Methodology, Project Administration, Supervision, Writing – Review & Editing

0000-0002-1284-3115

A.Boehne@leibniz-lib.de

Rita Monteiro

Leibniz Institute for the Analysis of Biodiversity Change, Adenauerallee127, Museum Koenig Bonn, Bonn, 53113, Germany

Roles

Co-Author, Methodology, Project Administration, Supervision, Writing – Review & Editing

0000-0003-1374-4474

R.Monteiro@leibniz-lib.de

Thomas Marcussen

University of Oslo, P.O. Box 1172, Blindern, Natural History Museum, Oslo, 0318, Norway

University of Oslo, Blindernveien 31, Centre for Ecological & Evolutionary Synthesis, Oslo, 0371, Norway

Roles

Co-Author, Methodology, Project Administration, Supervision, Writing – Review & Editing

0000-0002-1960-9508

thomarc@ibv.uio.no

Torsten H. Struck

University of Oslo, P.O. Box 1172, Blindern, Natural History Museum, Oslo, 0318, Norway

Roles

Co-Author, Methodology, Project Administration, Supervision, Writing – Review & Editing

0000-0003-3280-6239

t.h.struck@nhm.uio.no

Rebekah A. Oomen

University of Oslo, P.O. Box 1172, Blindern, Natural History Museum, Oslo, 0318, Norway

University of Oslo, Blindernveien 31, Centre for Ecological & Evolutionary Synthesis, Oslo, 0371, Norway

Department of Biological Sciences, 100 Tucker Park Road, University of New Brunswick Saint John, Saint John, E2K5E2, Canada

Tjärnö Marine Laboratory, Hättebäcksvägen 7, University of Gothenburg, Gothenburg, 45296, Sweden

Centre for Coastal Research, Universitetsveien 25, University of Agder, Kristiansand, 4630, Norway

Roles

Co-Author, Methodology, Project Administration, Supervision, Writing – Review & Editing

0000-0002-2094-5592

rebekahoomen@gmail.com

Marta Gut

Centro Nacional de Análisis Genómico (CNAG), Baldiri Reixac 4, Barcelona, 08028, Spain

Universitat de Barcelona (UB), Barcelona, 08028, Spain

Roles

Co-Author, Investigation, Writing – Review & Editing

0000-0002-4063-7159

marta.gut@cnag.eu

Laura Aguilera

Centro Nacional de Análisis Genómico (CNAG), Baldiri Reixac 4, Barcelona, 08028, Spain

Universitat de Barcelona (UB), Barcelona, 08028, Spain

Roles

Co-Author, Investigation, Writing – Original Draft Preparation, Writing – Review & Editing

0000-0002-8631-8778

laura.aguilera@cnag.eu

Francisco Câmara Ferreira

Centro Nacional de Análisis Genómico (CNAG), Baldiri Reixac 4, Barcelona, 08028, Spain

Universitat de Barcelona (UB), Barcelona, 08028, Spain

Roles

Co-Author, Data Curation, Formal Analysis, Writing – Review & Editing

francisco.camara@cnag.eu

Fernando Cruz

Centro Nacional de Análisis Genómico (CNAG), Baldiri Reixac 4, Barcelona, 08028, Spain

Universitat de Barcelona (UB), Barcelona, 08028, Spain

Roles

Co-Author, Data Curation, Formal Analysis, Writing – Review & Editing

0000-0003-4098-8829

Fernando.cruz@cnag.eu

Jèssica Gómez-Garrido

Centro Nacional de Análisis Genómico (CNAG), Baldiri Reixac 4, Barcelona, 08028, Spain

Universitat de Barcelona (UB), Barcelona, 08028, Spain

Roles

Co-Author, Data Curation, Formal Analysis, Writing – Review & Editing

0000-0001-6409-8009

jessica.gomez@cnag.eu

Tyler S. Alioto

Centro Nacional de Análisis Genómico (CNAG), Baldiri Reixac 4, Barcelona, 08028, Spain

Universitat de Barcelona (UB), Barcelona, 08028, Spain

Roles

Co-Author, Data Curation, Formal Analysis, Supervision, Writing – Review & Editing

0000-0002-2960-5420

tyler.alioto@cnag.eu

Fergal Martin

European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, UK

Roles

Co-Author, Data Curation, Formal Analysis, Writing – Review & Editing

fergal@ebi.ac.uk

Anna Lazar

European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, UK

Roles

Co-Author, Data Curation, Formal Analysis, Writing – Review & Editing

0000-0002-9533-1675

lazar@ebi.ac.uk

Leanne Haggerty

European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, UK

Roles

Co-Author, Data Curation, Formal Analysis, Writing – Review & Editing

0000-0001-8843-3596

leanne@ebi.ac.uk

Chiara Bortoluzzi

SIB Swiss Institute of Bioinformatics, Amphipôle, Quartier UNIL-Sorge, Lausanne, 1015, Switzerland

Roles

Corresponding Author, Co-Author, Visualization, Writing – Review & Editing

0000-0001-6589-6635

chiara.bortoluzzi@sib.swiss

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[1] Aken BL, Ayling S, Barrell D, et al.: The Ensembl gene annotation system. Database. 2016; 2016: baw093. Publisher Full Text

[2] Cabanettes F, Klopp C: D-GENIES: dot plot large genomes in an interactive, efficient and simple way. PeerJ. 2018; 6: e4958. PubMed Abstract | Publisher Full Text | Free Full Text

[3] Challis R, Kumar S, Sotero-Caio C, et al.: Genomes on a Tree (GoaT): A versatile, scalable search engine for genomic and sequencing project metadata across the eukaryotic tree of life. Wellcome Open Research. 2023; 8: 24. Publisher Full Text

[4] Cheng H, Asri M, Lucas J, et al.: Scalable telomere-to-telomere assembly for diploid and polyploid genomes with double graph. Nat. Methods. 2024; 21: 967–970. PubMed Abstract | Free Full Text

[5] Consortium, U: UniProt: A worldwide hub of protein knowledge. Nucleic Acids Res. 2019; 47(D1): D506–D515.

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ERGA-BGE reference genome of Phorcus turbinatus - a water quality biomarker and species distributed along the Mediterranean coast

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Judit Salces-Ortiz

Klara Eleftheriadi

Fernando Ángel Fernandez-Álvarez

Rosa Fernández

Astrid Böhne

Rita Monteiro

Thomas Marcussen

Torsten H. Struck

Rebekah A. Oomen

Marta Gut

Laura Aguilera

Francisco Câmara Ferreira

Fernando Cruz

Jèssica Gómez-Garrido

Tyler S. Alioto

Fergal Martin

Anna Lazar

Leanne Haggerty

Chiara Bortoluzzi

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