Skip to main content
Wellcome Open Research logoLink to Wellcome Open Research
. 2026 Mar 12;9:435. Originally published 2024 Aug 8. [Version 2] doi: 10.12688/wellcomeopenres.22819.2

The genome sequence of the bloodfluke planorb, Biomphalaria glabrata NIMR strain (Say, 1818)

Matthew Berriman 1,2, Sarah Buddenborg 2; Wellcome Sanger Institute Tree of Life Management, Samples and Laboratory team; Wellcome Sanger Institute Scientific Operations: Sequencing Operations; Wellcome Sanger Institute Tree of Life Core Informatics team; Tree of Life Core Informatics collective; Darwin Tree of Life Consortiuma
PMCID: PMC13000397  PMID: 41869676

Version Changes

Revised. Amendments from Version 1

The new version of this data note specifies that the genome sequence is from a Schistosome-susceptible, albino B. glabrata NIMR strain snail.  In response to comments from peer reviewers, we have also made changes to the Background text and clarified the use of different samples in the methods section.

Abstract

We present a genome assembly from an individual Biomphalaria glabrata NIMR strain (bloodfluke planorb; Mollusca; Gastropoda; Planorbidae). The genome sequence spans 850.60 megabases. Most of the assembly is scaffolded into 18 chromosomal pseudomolecules. The mitochondrial genome has also been assembled and is 13.67 kilobases in length. Gene annotation of this assembly on Ensembl identified 25,327 protein-coding genes.

Keywords: Biomphalaria glabrata, bloodfluke planorb, genome sequence, chromosomal, Planorbidae

Species taxonomy

Eukaryota; Opisthokonta; Metazoa; Eumetazoa; Bilateria; Protostomia; Spiralia; Lophotrochozoa; Mollusca; Gastropoda; Heterobranchia; Euthyneura; Panpulmonata; Hygrophila; Lymnaeoidea; Planorbidae; Biomphalaria; Biomphalaria glabrata (Say, 1818) (NCBI:txid6526).

Background

The fresh-water air-breathing snail Biomphalaria glabrata is an intermediate host for Schistosoma mansoni (Lophotrochozoa, Platyhelminthes), one of the major human-infective blood fluke species that cause the neglected disease schistosomiasis.

The Biomphalaria genus includes approximately 18 species that are susceptible to S. mansoni ( DeJong et al., 2001). Most S. mansoni transmission occurs in Africa, where susceptible Biomphalaria spp are thought to have descended from neotropical Biomphalaria that were transferred to the continent. The neotropical species, B. glabrata, is the closest relative to the African species ( DeJong et al., 2001). The snails are simultaneous hermaphrodites that reproduce preferentially through outcrossing but also self-fertilisation ( Trigwell et al., 1997). Copulations are usually unidirectional, with one snail taking on a male role and the other assuming a female one ( Trigwell et al., 1997).

In addition to their reproductive biology, B. glabrata plays a central role in the life cycle of S. mansoni. Within the snails, parasite populations rapidly expand. Larval parasites penetrate the snail and develop into mother sporocysts that each produce daughter sporocysts ( Meuleman et al., 1980). The daughter sporocysts replicate, migrate throughout the snail and release a further larva stage called cercarie ( Meuleman et al., 1980). The cercariae erupt from the snails into the aquatic environment, to find and infect a mammalian definitive host and continue the life cycle. Parasite development inhibits snail reproduction – saving resources for the rapid asexual expansion of the parasite. Conversely, the immune system of B. glabrata aims to limit parasite infection. Snails have heritable differences in parasite resistance/susceptibility ( Richards & Shade, 1987) and understanding the basis of these differences is an important avenue for developing new schistosomiasis control strategies ( Bu et al., 2022a).

A draft genome (916 Mb, N50 = 48 kb) for the B. glabrata BB02 strain was previously sequenced ( Adema et al., 2017), followed by higher-contiguity genome assemblies ( Bu et al., 2022b) for the homozygous lines iM and iBS90 (N50s of 22.7 and 19.4 Mb, respectively), and most recently the chromosomes of iM have been assembled (karyotype 2 n = 36; N50 = 49.4 Mb; Zhong et al., 2024). This new annotated reference genome of a Schistosome-susceptible, albino B. glabrata NIMR strain snail will enhance ongoing efforts to understand the genomic basis of Biomphalaria-schistosome interactions and to identify potential strategies for parasite control.

Genome sequence report

The genome of an adult Biomphalaria glabrata ( Figure 1) was sequenced using Pacific Biosciences single-molecule HiFi long reads, generating a total of 16.16 Gb (gigabases) from 2.40 million reads, providing approximately 29-fold coverage. Primary assembly contigs were scaffolded with chromosome conformation Hi-C data from a different individual, which produced 78.06 Gbp from 516.92 million reads, yielding an approximate coverage of 92-fold. Specimen and sequencing information is summarised in Table 1.

Figure 1. Image of Biomphalaria glabrata (not the specimen used for genome sequencing) (Photograph by ( Lewis et al., 2008), cropped and retouched by User:Snek01., CC BY 2.5, https://commons.wikimedia.org/w/index.php?curid=7278526 ).


Figure 1.

Table 1. Specimen and sequencing data for BioProject PRJEB52579.

Platform PacBio HiFi Hi-C RNA-seq
ToLID xgBioGlab47 xgBioGlab1 xgBioGlab2
Specimen ID SAN3000165 SAN3000136 SAN3000140
BioSample (source individual) SAMEA10417684 SAMEA111492540 SAMEA10417660
BioSample (tissue) SAMEA10417747 SAMEA111492541 SAMEA10417723
Tissue whole organism whole organism whole organism
Instrument Sequel IIe Illumina NovaSeq 6000 Illumina HiSeq 4000
Run accessions ERR9709327; ERR9709326 ERR10395981 ERR9682492
Read count total 4.11 million 516.92 million 44.27 million
Base count total 25.89 Gb 78.06 Gb 6.68 Gb

Manual assembly curation corrected 26 missing joins or mis-joins and 12 haplotypic duplications, reducing the assembly length by 0.47% and the scaffold number by 12.24%. The final assembly has a total length of 850.60 Mb in 43 sequence scaffolds with a scaffold N50 of 48.5 Mb ( Table 2). The snail plot in Figure 2 provides a summary of the assembly statistics, while the distribution of assembly scaffolds on GC proportion and coverage is shown in Figure 3. The cumulative assembly plot in Figure 4 shows curves for subsets of scaffolds assigned to different phyla. Most (99.46%) of the assembly sequence was assigned to 18 chromosomal-level scaffolds. Chromosome-scale scaffolds confirmed by the Hi-C data are named in order of size ( Figure 5; Table 3). While not fully phased, the assembly deposited is of one haplotype. Contigs corresponding to the second haplotype have also been deposited. The mitochondrial genome was also assembled and can be found as a contig within the multifasta file of the genome submission.

Table 2. Genome assembly data for Biomphalaria glabrata, xgBioGlab47.1.

Genome assembly
Assembly name xgBioGlab47.1
Assembly accession GCA_947242115.1
Accession of alternate haplotype GCA_947242385.1
Span (Mb) 850.60
Number of contigs 200
Contig N50 length (Mb) 10.8
Number of scaffolds 43
Scaffold N50 length (Mb) 48.5
Longest scaffold (Mb) 90.4
Assembly metrics * Benchmark
Consensus quality (QV) Primary: 60.2; alternate: 60.5; combined: 60.4 40
k-mer completeness Primary: 75.41%; alternate: 56.54%; combined: 98.65% 95%
BUSCO ** C:94.3%[S:93.5%,D:0.8%],F:2.9%,
M:2.8%,n:5,295
C95%
Percentage of assembly mapped to chromosomes 99.46% 90%
Organelles Mitochondrial genome: 13.67 kb complete single alleles
Genome annotation of assembly GCA_947242115.1 at Ensembl
Number of protein-coding genes 25,327
Number of non-coding genes 24,653
Number of gene transcripts 92,945
*

Assembly metric benchmarks are adapted from column VGP-2020 of “ Table 1: Proposed standards and metrics for defining genome assembly quality” from Rhie et al. (2021).

**

BUSCO scores based on the mollusca_odb10 BUSCO set using version 5.3.2. C = complete [S = single copy, D = duplicated], F = fragmented, M = missing, n = number of orthologues in comparison. A full set of BUSCO scores is available at https://blobtoolkit.genomehubs.org/view/CAMXHX01/dataset/CAMXHX01/busco.

Figure 2. Genome assembly of Biomphalaria glabrata, xgBioGlab47.1: metrics.


Figure 2.

The BlobToolKit snail plot shows N50 metrics and BUSCO gene completeness. The main plot is divided into 1,000 size-ordered bins around the circumference with each bin representing 0.1% of the 850,633,761 bp assembly. The distribution of scaffold lengths is shown in dark grey with the plot radius scaled to the longest scaffold present in the assembly (90,404,365 bp, shown in red). Orange and pale-orange arcs show the N50 and N90 scaffold lengths (48,536,009 and 32,813,434 bp), respectively. The pale grey spiral shows the cumulative scaffold 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 in the mollusca_odb10 set is shown in the top right. An interactive version of this figure is available at https://blobtoolkit.genomehubs.org/view/CAMXHX01/dataset/CAMXHX01/snail.

Figure 3. Genome assembly of Biomphalaria glabrata, xgBioGlab47.1: BlobToolKit GC-coverage plot.


Figure 3.

Blob plot of base coverage in ERR9709327 against GC proportion for sequences in assembly CAMXHX01. Sequences are coloured by phylum. Circles are sized in proportion to sequence length. Histograms show the distribution of sequence length sum along each axis. An interactive version of this figure is available at https://blobtoolkit.genomehubs.org/view/CAMXHX01/dataset/CAMXHX01/blob.

Figure 4. Genome assembly of Biomphalaria glabrata xgBioGlab47.1: BlobToolKit cumulative sequence plot.


Figure 4.

The grey line shows cumulative length for all sequences. Coloured lines show cumulative lengths of sequences assigned to each phylum using the buscogenes taxrule. An interactive version of this figure is available at https://blobtoolkit.genomehubs.org/view/CAMXHX01/dataset/CAMXHX01/cumulative.

Figure 5. Genome assembly of Biomphalaria glabrata xgBioGlab47.1: Hi-C contact map of the xgBioGlab47.1 assembly, visualised using HiGlass.


Figure 5.

Chromosomes are shown in order of size from left to right and top to bottom. An interactive version of this figure may be viewed at https://genome-note-higlass.tol.sanger.ac.uk/l/?d=Wp9YLRn8QbGvprL5f5rpIA.

Table 3. Chromosomal pseudomolecules in the genome assembly of Biomphalaria glabrata, xgBioGlab47.

INSDC accession Name Length (Mb) GC%
OX365773.1 1 90.4 36.0
OX365774.1 2 65.24 36.0
OX365775.1 3 56.62 36.5
OX365776.1 4 56.61 36.0
OX365777.1 5 55.05 35.5
OX365778.1 6 54.85 36.0
OX365779.1 7 48.54 36.0
OX365780.1 8 47.24 36.0
OX365781.1 9 47.12 36.0
OX365782.1 10 45.78 36.5
OX365783.1 11 43.1 36.5
OX365784.1 12 39.29 36.5
OX365785.1 13 38.96 36.0
OX365786.1 14 37.7 36.0
OX365787.1 15 32.88 36.5
OX365788.1 16 32.81 36.0
OX365789.1 17 28.84 36.5
OX365790.1 18 24.81 36.5
OX365791.1 MT 0.01 25.5

The combined primary and alternate assemblies achieve an estimated QV of 60.4. The k-mer completeness is 75.41% for the primary assembly, 56.54% for the alternate haplotype, and 98.65% for the combined assemblies. The primary assembly has a BUSCO v5.3.2 completeness of 94.3% (single = 93.5%, duplicated = 0.8%), using the mollusca_odb10 reference set ( n = 5,295).

Metadata for specimens, BOLD barcode results, spectra estimates, sequencing runs, contaminants and pre-curation assembly statistics are given at https://links.tol.sanger.ac.uk/species/6526.

Genome annotation report

The Biomphalaria glabrata genome assembly (GCA_947242115.1) was annotated at the European Bioinformatics Institute (EBI) with Ensembl Rapid Release. The resulting annotation includes 92,945 transcribed mRNAs from 25,327 protein-coding and 24,653 non-coding genes. The average transcript length is 15,613.85, with an average of 1.86 coding transcripts per gene and 7.04 exons per transcript. The annotations may be downloaded from the Ensembl site.

Methods

Sample acquisition

Albino Biomphalaria glabrata snails (NIMR strain) were obtained from the laboratory of M. Doenhoff at the University of Nottingham and cultivated at the Wellcome Sanger Institute (WSI) for five years. Prior to transfer to WSI, the colony had been cultivated in the UK since 1962, having been established and maintained by S.R. Smithers at the National Institute for Medical Research (NIMR, Mill Hill, UK) from an albino line originally established in the US ( Newton, 1953). The specimens were flash-frozen prior to nucleic acid extraction.

Specimen SAN3000165 (ToLID xgBioGlab47) was used for PacBio HiFi sequencing, xgBioGlab1 was used for Illumina Hi-C sequencing, and specimen SAN3000140 (ToLID xgBioGlab2) was used for RNA sequencing.

Nucleic acid extraction

The workflow for high molecular weight (HMW) DNA extraction at the Wellcome Sanger Institute (WSI) Tree of Life Core Laboratory includes a sequence of core procedures: sample preparation; sample homogenisation, DNA extraction, fragmentation, and clean-up. In sample preparation, the xgBioGlab47 sample was weighed and dissected on dry ice ( Jay et al., 2023). For sample homogenisation, whole organism tissue was cryogenically disrupted using the Covaris cryoPREP ® Automated Dry Pulverizer ( Narváez-Gómez et al., 2023). HMW DNA was extracted using the Automated MagAttract v2 protocol ( Oatley et al., 2023a). DNA was sheared into an average fragment size of 12–20 kb in a Megaruptor 3 system ( Bates et al., 2023). Sheared DNA was purified by solid-phase reversible immobilisation ( Oatley et al., 2023b): in brief, the method employs AMPure PB beads to eliminate shorter fragments and concentrate the DNA. The concentration of the sheared and purified DNA was assessed using a Nanodrop spectrophotometer and Qubit Fluorometer using the Qubit dsDNA High Sensitivity Assay kit. Fragment size distribution was evaluated by running the sample on the FemtoPulse system.

RNA was extracted from tissue of a different individual, xgBioGlab2, in the Tree of Life Laboratory at the WSI using the RNA Extraction: Automated MagMax™ mirVana protocol ( do Amaral et al., 2023). The RNA concentration was assessed using a Nanodrop spectrophotometer and a Qubit Fluorometer using the Qubit RNA Broad-Range Assay kit. Analysis of the integrity of the RNA was done using the Agilent RNA 6000 Pico Kit and Eukaryotic Total RNA assay.

Protocols developed by the WSI Tree of Life laboratory are publicly available on protocols.io ( Denton et al., 2023).

Sequencing

Pacific Biosciences HiFi circular consensus DNA sequencing libraries were constructed according to the manufacturers’ instructions. Poly(A) RNA-Seq libraries were constructed using the NEB Ultra II RNA Library Prep kit. DNA and RNA sequencing was performed by the Scientific Operations core at the WSI on Pacific Biosciences Sequel IIe (HiFi) and Illumina HiSeq 4000 (RNA-Seq) instruments. Hi-C data were also generated from tissue of xgBioGlab1 using the Arima-HiC v2 kit. The Hi-C sequencing was performed using paired-end sequencing with a read length of 150 bp on the Illumina NovaSeq 6000 instrument.

Genome assembly, curation and evaluation

Assembly

The original assembly of HiFi reads was performed using Hifiasm ( Cheng et al., 2021) with the --primary option. Haplotypic duplications were identified and removed with purge_dups ( Guan et al., 2020). Hi-C reads are further mapped with bwa-mem2 ( Vasimuddin et al., 2019) to the primary contigs, which are further scaffolded using the provided Hi-C data ( Rao et al., 2014) in YaHS ( Zhou et al., 2023) using the --break option. Scaffolded assemblies are evaluated using Gfastats ( Formenti et al., 2022), BUSCO ( Manni et al., 2021) and MERQURY.FK ( Rhie et al., 2020).

The mitochondrial genome was assembled using MitoHiFi ( Uliano-Silva et al., 2023), which runs MitoFinder ( Allio et al., 2020) and uses these annotations to select the final mitochondrial contig and to ensure the general quality of the sequence.

Assembly curation

The assembly was decontaminated using the Assembly Screen for Cobionts and Contaminants (ASCC) pipeline (article in preparation). Manual curation was primarily conducted using PretextView ( Harry, 2022), with additional insights provided by JBrowse2 ( Diesh et al., 2023) and HiGlass ( Kerpedjiev et al., 2018). Scaffolds were visually inspected and corrected as described by Howe et al. (2021). Any identified contamination, missed joins, and mis-joins were corrected, and duplicate sequences were tagged and removed. The process is documented at https://gitlab.com/wtsi-grit/rapid-curation .

Evaluation of the final assembly

A Hi-C map for the final assembly was produced using bwa-mem2 ( Vasimuddin et al., 2019) in the Cooler file format (Abdennur & Mirny, 2020). To assess the assembly metrics, the k-mer completeness and QV consensus quality values were calculated in Merqury ( Rhie et al., 2020). The genome readmapping pipeline was developed using the nf-core tooling ( Ewels et al., 2020), use MultiQC ( Ewels et al., 2016), and makes extensive use of the Conda package manager, the Bioconda initiative ( Grüning et al., 2018), the Biocontainers infrastructure (da Veiga Leprevost et al., 2017), and the Docker ( Merkel, 2014) and Singularity ( Kurtzer et al., 2017) containerisation solutions. The genome was also analysed within the BlobToolKit environment ( Challis et al., 2020) and BUSCO scores ( Manni et al., 2021) were calculated.

Table 4 contains a list of relevant software tool versions and sources.

Table 4. Software tools: versions and sources.

Wellcome Sanger Institute – Legal and Governance

The materials that have contributed to this genome note have been supplied by a Darwin Tree of Life Partner. The submission of materials by a Darwin Tree of Life Partner is subject to the ‘Darwin Tree of Life Project Sampling Code of Practice’, which can be found in full on the Darwin Tree of Life website here. By agreeing with and signing up to the Sampling Code of Practice, the Darwin Tree of Life Partner agrees they will meet the legal and ethical requirements and standards set out within this document in respect of all samples acquired for, and supplied to, the Darwin Tree of Life Project.

Further, the Wellcome Sanger Institute employs a process whereby due diligence is carried out proportionate to the nature of the materials themselves, and the circumstances under which they have been/are to be collected and provided for use. The purpose of this is to address and mitigate any potential legal and/or ethical implications of receipt and use of the materials as part of the research project, and to ensure that in doing so we align with best practice wherever possible. The overarching areas of consideration are:

  • Ethical review of provenance and sourcing of the material

  • Legality of collection, transfer and use (national and international)

Each transfer of samples is further undertaken according to a Research Collaboration Agreement or Material Transfer Agreement entered into by the Darwin Tree of Life Partner, Genome Research Limited (operating as the Wellcome Sanger Institute), and in some circumstances other Darwin Tree of Life collaborators.

Data availability

European Nucleotide Archive: Biomphalaria glabrata. Accession number PRJEB52579; https://identifiers.org/ena.embl/PRJEB52579 ( Wellcome Sanger Institute, 2022). The genome sequence is released openly for reuse. The Biomphalaria glabrata genome sequencing initiative is part of the Darwin Tree of Life (DToL) project. All raw sequence data and the assembly have been deposited in INSDC databases. Raw data and assembly accession identifiers are reported in Table 1 and Table 2.

Author information

Members of the Wellcome Sanger Institute Tree of Life Management, Samples and Laboratory team are listed here: https://doi.org/10.5281/zenodo.12162482.

Members of Wellcome Sanger Institute Scientific Operations: Sequencing Operations are listed here: https://doi.org/10.5281/zenodo.12165051.

Members of the Wellcome Sanger Institute Tree of Life Core Informatics team are listed here: https://doi.org/10.5281/zenodo.12160324.

Members of the Tree of Life Core Informatics collective are listed here: https://doi.org/10.5281/zenodo.12205391.

Members of the Darwin Tree of Life Consortium are listed here: https://doi.org/10.5281/zenodo.4783558.

Funding Statement

This work was supported by Wellcome through core funding to the Wellcome Sanger Institute [206194, <a href=https://doi.org/10.35802/206194>https://doi.org/10.35802/206194</a>] and the Darwin Tree of Life Discretionary Award [218328, <a href=https://doi.org/10.35802/218328>https://doi.org/10.35802/218328 </a>].

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

[version 2; peer review: 4 approved]

References

  1. Abdennur N: Mirny LA: Cooler: scalable storage for Hi-C data and other genomically labeled arrays. Bioinformatics. 2020;36(1):311–316. 10.1093/bioinformatics/btz540 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Adema CM, Hillier LW, Jones CS, et al. : Whole genome analysis of a schistosomiasis-transmitting freshwater snail. Nat Commun. 2017;8: 15451. 10.1038/ncomms15451 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Allio R, Schomaker-Bastos A, Romiguier J, et al. : MitoFinder: efficient automated large-scale extraction of mitogenomic data in target enrichment phylogenomics. Mol Ecol Resour. 2020;20(4):892–905. 10.1111/1755-0998.13160 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bates A, Clayton-Lucey I, Howard C: Sanger Tree of Life HMW DNA fragmentation: diagenode Megaruptor® 3 for LI PacBio. protocols.io. 2023. 10.17504/protocols.io.81wgbxzq3lpk/v1 [DOI] [Google Scholar]
  5. Bu L, Zhong D, Lu L, et al. : Compatibility between snails and schistosomes: insights from new genetic resources, comparative genomics, and genetic mapping. Commun Biol. 2022a;5(1):940. 10.1038/s42003-022-03844-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Bu L, Zhong D, Lu L, et al. : Compatibility between snails and schistosomes: insights from new genetic resources, comparative genomics, and genetic mapping. Commun Biol. 2022b;5(1):940. 10.1038/s42003-022-03844-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Challis R, Richards E, Rajan J, et al. : BlobToolKit – interactive quality assessment of genome assemblies. G3 (Bethesda). 2020;10(4):1361–1374. 10.1534/g3.119.400908 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Cheng H, Concepcion GT, Feng X, et al. : Haplotype-resolved de novo assembly using phased assembly graphs with hifiasm. Nat Methods. 2021;18(2):170–175. 10.1038/s41592-020-01056-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Veiga LF, Grüning BA, Alves Aflitos S, et al. : BioContainers: an open-source and community-driven framework for software standardization. Bioinformatics. 2017;33(16):2580–2582. 10.1093/bioinformatics/btx192 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. DeJong RJ, Morgan JA, Paraense WL, et al. : Evolutionary relationships and biogeography of Biomphalaria (Gastropoda: Planorbidae) with implications regarding its role as host of the human bloodfluke, Schistosoma mansoni. Mol Biol Evol. 2001;18(12):2225–2239. 10.1093/oxfordjournals.molbev.a003769 [DOI] [PubMed] [Google Scholar]
  11. Denton A, Yatsenko H, Jay J, et al. : Sanger Tree of Life wet laboratory protocol collection V.1. protocols.io. 2023. 10.17504/protocols.io.8epv5xxy6g1b/v1 [DOI]
  12. Diesh C, Stevens GJ, Xie P, et al. : JBrowse 2: a modular genome browser with views of synteny and structural variation. Genome Biol. 2023;24(1):74. 10.1186/s13059-023-02914-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. do Amaral RJV, Bates A, Denton A, et al. : Sanger Tree of Life RNA extraction: automated MagMax™ mirVana. protocols.io. 2023. 10.17504/protocols.io.6qpvr36n3vmk/v1 [DOI] [Google Scholar]
  14. Ewels P, Magnusson M, Lundin S, et al. : MultiQC: summarize analysis results for multiple tools and samples in a single report. Bioinformatics. 2016;32(19):3047–3048. 10.1093/bioinformatics/btw354 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Ewels PA, Peltzer A, Fillinger S, et al. : The nf-core framework for community-curated bioinformatics pipelines. Nat Biotechnol. 2020;38(3):276–278. 10.1038/s41587-020-0439-x [DOI] [PubMed] [Google Scholar]
  16. Formenti G, Abueg L, Brajuka A, et al. : Gfastats: conversion, evaluation and manipulation of genome sequences using assembly graphs. Bioinformatics. 2022;38(17):4214–4216. 10.1093/bioinformatics/btac460 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Grüning B, Dale R, Sjödin A, et al. : Bioconda: sustainable and comprehensive software distribution for the life sciences. Nat Methods. 2018;15(7):475–476. 10.1038/s41592-018-0046-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Guan D, McCarthy SA, Wood J, et al. : Identifying and removing haplotypic duplication in primary genome assemblies. Bioinformatics. 2020;36(9):2896–2898. 10.1093/bioinformatics/btaa025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Harry E: PretextView (Paired REad TEXTure Viewer): a desktop application for viewing pretext contact maps. 2022. [Accessed 19 October 2022]. Reference Source [Google Scholar]
  20. Howe K, Chow W, Collins J, et al. : Significantly improving the quality of genome assemblies through curation. GigaScience. 2021;10(1): giaa153. 10.1093/gigascience/giaa153 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Jay J, Yatsenko H, Narváez-Gómez JP, et al. : Sanger Tree of Life sample preparation: triage and dissection. protocols.io 2023. 10.17504/protocols.io.x54v9prmqg3e/v1 [DOI] [Google Scholar]
  22. Kerpedjiev P, Abdennur N, Lekschas F, et al. : HiGlass: web-based visual exploration and analysis of genome interaction maps. Genome Biol. 2018;19(1):125. 10.1186/s13059-018-1486-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Kurtzer GM, Sochat V, Bauer MW: Singularity: scientific containers for mobility of compute. PLoS One. 2017;12(5):e0177459. 10.1371/journal.pone.0177459 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Lewis FA, Liang Y, Raghavan N, et al. : The NIH-NIAID schistosomiasis resource center. PLoS Negl Trop Dis. 2008;2(7):e267. 10.1371/journal.pntd.0000267 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Manni M, Berkeley MR, Seppey M, et al. : BUSCO update: novel and streamlined workflows along with broader and deeper phylogenetic coverage for scoring of eukaryotic, prokaryotic, and viral genomes. Mol Biol Evol. 2021;38(10):4647–4654. 10.1093/molbev/msab199 [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Merkel D: Docker: lightweight Linux containers for consistent development and deployment. Linux J. 2014;2014(239):2. Reference Source [Google Scholar]
  27. Meuleman EA, Holzmann PJ, Peet RC: The development of daughter sporocysts inside the mother sporocyst of Schistosoma mansoni with special reference to the ultrastructure of the body wall. Z Parasitenkd. 1980;61(3):201–212. 10.1007/BF00925512 [DOI] [PubMed] [Google Scholar]
  28. Narváez-Gómez JP, Mbye H, Oatley G, et al. : Sanger Tree of Life sample homogenisation: covaris CryoPREP ® automated dry pulverizer V.2. protocols.io. 2023. 10.17504/protocols.io.eq2lyjp5qlx9/v2 [DOI] [Google Scholar]
  29. Newton WL: The inheritance of susceptibility to infection with Schistosoma mansoni in Australorbis glabratus. Exp Parasitol. 1953;2(3):242–257. 10.1016/0014-4894(53)90036-8 [DOI] [Google Scholar]
  30. Oatley G, Denton A, Howard C: Sanger Tree of Life HMW DNA extraction: automated MagAttract v.2. Protocols.io. 2023a. 10.17504/protocols.io.kxygx3y4dg8j/v1 [DOI] [Google Scholar]
  31. Oatley G, Sampaio F, Howard C: Sanger Tree of Life fragmented DNA clean up: automated SPRI. Protocols.io. 2023b. 10.17504/protocols.io.q26g7p1wkgwz/v1 [DOI] [Google Scholar]
  32. Rao SSP, Huntley MH, Durand NC, et al. : A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping. Cell. 2014;159(7):1665–1680. , [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Rhie A, McCarthy SA, Fedrigo O, et al. : Towards complete and error-free genome assemblies of all vertebrate species. Nature. 2021;592(7856):737–746. 10.1038/s41586-021-03451-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Rhie A, Walenz BP, Koren S, et al. : Merqury: reference-free quality, completeness, and phasing assessment for genome assemblies. Genome Biol. 2020;21(1):245. 10.1186/s13059-020-02134-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Richards CS, Shade PC: The genetic variation of compatibility in Biomphalaria glabrata and Schistosoma mansoni. J Parasitol. 1987;73(6):1146–1151. 10.2307/3282295 [DOI] [PubMed] [Google Scholar]
  36. Trigwell JA, Dussart GBJ, Vianey-Liaud M: Pre-copulatory behaviour of the freshwater hermaphrodite snail Biomphalaria glabrata (Say, 1818) (Gastropoda: Pulmonata). J Molluscan Stud. 1997;63(1):116–120. 10.1093/mollus/63.1.116 [DOI] [Google Scholar]
  37. Uliano-Silva M, Ferreira JGRN, Krasheninnikova K, et al. : MitoHiFi: a python pipeline for mitochondrial genome assembly from PacBio high fidelity reads. BMC Bioinformatics. 2023;24(1):288. 10.1186/s12859-023-05385-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Vasimuddin M, Misra S, Li H, et al. : Efficient architecture-aware acceleration of BWA-MEM for multicore systems. IEEE international parallel and distributed processing symposium (IPDPS). IEEE2019;2019:314–324. 10.1109/IPDPS.2019.00041 [DOI] [Google Scholar]
  39. Wellcome Sanger Institute: The genome sequence of the bloodfluke planorb, Biomphalaria glabrata (Say, 1818).dataset. European Nucleotide Archive. 2022. accession number PRJEB52579.
  40. Zhong D, Bu L, Habib MR, et al. : A haplotype-like, chromosome-level assembled and annotated genome of Biomphalaria glabrata, an important intermediate host of schistosomiasis and the best studied model of schistosomiasis vector snails. PLoS Negl Trop Dis. 2024;18(2):e0011983. 10.1371/journal.pntd.0011983 [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Zhou C, McCarthy SA, Durbin R: YaHS: yet another Hi-C scaffolding tool. Bioinformatics. 2023;39(1): btac808. 10.1093/bioinformatics/btac808 [DOI] [PMC free article] [PubMed] [Google Scholar]
Wellcome Open Res. 2026 Mar 30. doi: 10.21956/wellcomeopenres.28643.r150698

Reviewer response for version 2

Alexander Fedosov 1

The manuscript is clearly written, and result are robust. I have only few comments:

The authors claiming:

”The  Biomphalaria genus includes approximately 18 species that are susceptible to  S. mansoni ( DeJong  et al., 2001). Most  S. mansoni transmission occurs in Africa, where susceptible  Biomphalaria spp are thought to have descended from neotropical  Biomphalaria that were transferred to the continent. The neotropical species,  B. glabrata, is the closest relative to the African species ( DeJong  et al., 2001).” This emphasizes the impact of S. mansoni transmissions via Biomphalaria spp in Africa. But B. glabrata is a South American species. As appears from the following paragraph, the same parasite species infects B. glabrata (i.e. presumably in its native range). Therefore, I would assume S. mansoni is a species of medical relevance in South America as well. I suggest it to be added explicitly, otherwise the logic appears to be slightly convoluted.

The figure 1 shows a B. glabrata specimen, that was collected probably close to15 years before this study was made. I would suggest that a more relevant photo is used – preferably a photo of ‘a Schistosome-susceptible, albino  B. glabrata NIMR strain’, if a photo of the sequenced individual is not available.

It is not clear from the methods, which tissues (or whole body) were used to generate RNA-Seq and Hi-C data.

Are sufficient details of methods and materials provided to allow replication by others?

Partly

Is the rationale for creating the dataset(s) clearly described?

Partly

Are the datasets clearly presented in a useable and accessible format?

Yes

Are the protocols appropriate and is the work technically sound?

Yes

Reviewer Expertise:

Zoology, systematics, phylogenetics(omics), evolutionary biology

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

Wellcome Open Res. 2026 Mar 25. doi: 10.21956/wellcomeopenres.28643.r150557

Reviewer response for version 2

Maurine Neiman 1

The revised version is much more clear, and the issues I had seen in the first version have been resolved. 

Are sufficient details of methods and materials provided to allow replication by others?

Yes

Is the rationale for creating the dataset(s) clearly described?

No

Are the datasets clearly presented in a useable and accessible format?

Yes

Are the protocols appropriate and is the work technically sound?

Yes

Reviewer Expertise:

evolutionary biology, snail genomics

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

Wellcome Open Res. 2026 Mar 18. doi: 10.21956/wellcomeopenres.28643.r150696

Reviewer response for version 2

Randall J DeJong 1

This report gives information on the rationale, methods, and quality assessment of the sequencing of the genome of Biomphalaria glabrata NIMR strain. 

It is well-written and I think nearly complete. The only thing that came to mind to add was to the very brief background of the NIMR strain. Perhaps there could be a bit of rationale given as to why the NIMR strain should be sequenced, perhaps in the paragraph that notes that genome assemblies of the BB02, iM, and iBS90 lines have been completed? Perhaps that justification is as simple as 'numerous studies on the interaction between  S. mansoni  and snail host utilized the NIMR strain', or 'it was the predominant host used in  S. mansoni intramolluscan stage studies in Europe', or whatever is actually appropriate. While not all such studies could be references, perhaps one or two could be? 

Also, I don't think schistosome-susceptible should be capitalized in that paragraph, nor in the Amendments from Version 1 box.

Looking forward to a indexing sometime that describes what interesting similarities and differences were found in this genome compared to the other B. glabrata sequenced.

Are sufficient details of methods and materials provided to allow replication by others?

Yes

Is the rationale for creating the dataset(s) clearly described?

Yes

Are the datasets clearly presented in a useable and accessible format?

Yes

Are the protocols appropriate and is the work technically sound?

Yes

Reviewer Expertise:

parasitology, particularly schistosomes and their snail hosts

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

Wellcome Open Res. 2024 Sep 11. doi: 10.21956/wellcomeopenres.25125.r98195

Reviewer response for version 1

Jacob A Tennessen 1

This paper describes a full-chromosome assembly of the genome of Biomphalaria glabrata, an important vector of Schistosoma mansoni, a parasite which causes schistosomiasis. This species is a frequent laboratory model in studies of snail-trematode interaction, and genomic data will be essential to this ongoing research. The genome of this species is relatively challenging to work with, given its large size and many repetitive elements. Nevertheless, as the authors note, several other sequenced genomes exist for B. glabrata, including another chromosome-level assembly published earlier this year. Genomes of congeners have also been recently published, though not nearly with such complete assembly. The approach used here for sequencing, assembly, and annotation is valid and robust. By all indications, the authors have generated a reliable, high-quality genomic dataset.

While perhaps beyond the scope of this paper, an open question is how this genome compares with other sequenced B. glabrata genomes, both in terms of quality and with respect to real polymorphisms and sequence rearrangements. This snail specimen was not an individual chosen at random, but rather a member of an albino laboratory line that may even share ancestry with the previously sequenced iM line. The snail research community will need to decide which genome assembly should become the default reference, so such comparisons will be vital. This manuscript does not attempt to make a case that its genome is the best available option, but it would be interesting to know what the authors consider to be its key strengths.

Are sufficient details of methods and materials provided to allow replication by others?

Yes

Is the rationale for creating the dataset(s) clearly described?

Yes

Are the datasets clearly presented in a useable and accessible format?

Yes

Are the protocols appropriate and is the work technically sound?

Yes

Reviewer Expertise:

Evolutionary genetics, including extensive experience with Biomphalaria genomics

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

Wellcome Open Res. 2024 Aug 29. doi: 10.21956/wellcomeopenres.25125.r94837

Reviewer response for version 1

Maurine Neiman 1

Biomphalaria glabrata is a priority for comprehensive genomic characterization because of its status as a major vector for the dangerous trematode Schistosoma mansoni. The genomic assembly is very high quality,  and the pipeline and resources that the DToL project has assembled are really impressive and easy to use. 

My main criticism is that the qualitative advance that this particular genome assembly adds to the substantial body of genomic resources that already exist for B. glabrata isn't clear from the text. The authors need to be much more specific about which strain they sequenced and its biological characteristics, especially with respect to resistance/susceptibility to S. mansoni. They also need to clearly explain the knowledge gap or resource gap that exists for B. glabrata, and explain how their new genome assembly helps fill these gaps.

Specific Comments:

1. Abstract says that the sequence comes from an "individual" B. glabrata, but I believe from Table 1 and the main text that 3 individuals were involved in the whole process. This needs to be corrected/clarified throughout the manuscript.

2. Remove the comma after "hermaphrodites".

3. Citation needed after the statement about preferential outcrossing vs. self-fertilization.

4. Better transition needed between the paragraph about the snail mating to the "Within the snails"..." paragraph immediately afterwards.

5. Indicate the karyotype-established chromosome number in the last paragraph before the genome sequence report.

6. Was RNA extraction from all vs. a subset of tissues, and from a different snail than used for genomic sequencing? This point needs to be explicitly clear.

Are sufficient details of methods and materials provided to allow replication by others?

Yes

Is the rationale for creating the dataset(s) clearly described?

No

Are the datasets clearly presented in a useable and accessible format?

Yes

Are the protocols appropriate and is the work technically sound?

Yes

Reviewer Expertise:

evolutionary biology, snail genomics

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.

Wellcome Open Res. 2026 Feb 4.
Tree of Life Team Sanger 1

Thank you for reviewing this data note.  We have specified that the genome sequence is of a Schistosome-susceptible, albino B. glabrata NIMR strain snail in the introduction, and we have added the strain to the title and abstract. 

Our responses to specific comments are given below:

1. Abstract says that the sequence comes from an "individual"  B. glabrata, but I believe from Table 1 and the main text that 3 individuals were involved in the whole process. This needs to be corrected/clarified throughout the manuscript.

Response: The genome assembly presented is derived from a single snail. Sequence data from two other snails were used for Hi-C sequencing (used for scaffolding the assembly) and for RNA sequencing (data deposited in INSDC databases), but these are not represented in the primary genome sequence. We have used a new format for Table 1 to indicate the specimens used more clearly.

2. Remove the comma after "hermaphrodites".

Response: We have corrected this.

3. Citation needed after the statement about preferential outcrossing vs. self-fertilization. Response: We have corrected this.

4. Better transition needed between the paragraph about the snail mating to the "Within the snails"..." paragraph immediately afterwards.

Response: We have corrected this.

5. Indicate the karyotype-established chromosome number in the last paragraph before the genome sequence report.

Response: We have added the established karyotype to the Background text.

6. Was RNA extraction from all vs. a subset of tissues, and from a different snail than used for genomic sequencing? This point needs to be explicitly clear.

Response: The “Sample acquisition” section already states: Specimen SAN3000165 (ToLID xgBioGlab47) was used for PacBio HiFi sequencing, xgBioGlab1 was used for Illumina Hi-C sequencing, and specimen SAN3000140 (ToLID xgBioGlab2) was used for RNA sequencing.

We have changed the format of Table 1 to ensure that the sample and sequencing information is given more clearly.

Tree of Life team

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Data Citations

    1. Wellcome Sanger Institute: The genome sequence of the bloodfluke planorb, Biomphalaria glabrata (Say, 1818).dataset. European Nucleotide Archive. 2022. accession number PRJEB52579.

    Data Availability Statement

    European Nucleotide Archive: Biomphalaria glabrata. Accession number PRJEB52579; https://identifiers.org/ena.embl/PRJEB52579 ( Wellcome Sanger Institute, 2022). The genome sequence is released openly for reuse. The Biomphalaria glabrata genome sequencing initiative is part of the Darwin Tree of Life (DToL) project. All raw sequence data and the assembly have been deposited in INSDC databases. Raw data and assembly accession identifiers are reported in Table 1 and Table 2.

    Author information

    Members of the Wellcome Sanger Institute Tree of Life Management, Samples and Laboratory team are listed here: https://doi.org/10.5281/zenodo.12162482.

    Members of Wellcome Sanger Institute Scientific Operations: Sequencing Operations are listed here: https://doi.org/10.5281/zenodo.12165051.

    Members of the Wellcome Sanger Institute Tree of Life Core Informatics team are listed here: https://doi.org/10.5281/zenodo.12160324.

    Members of the Tree of Life Core Informatics collective are listed here: https://doi.org/10.5281/zenodo.12205391.

    Members of the Darwin Tree of Life Consortium are listed here: https://doi.org/10.5281/zenodo.4783558.


    Articles from Wellcome Open Research are provided here courtesy of The Wellcome Trust

    RESOURCES