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. 2025 Jul 31;10:399. [Version 1] doi: 10.12688/wellcomeopenres.24635.1

The genome sequence of the Silver-washed Fritillary, Argynnis paphia (Linnaeus, 1758) (Lepidoptera: Nymphalidae)

Yannick Chittaro 1, Andreas Sanchez 1, Kay Lucek 2, Charlotte J Wright 3,a, Joana I Meier 3, Mark L Blaxter 3; 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; Project Psyche Community
PMCID: PMC12426599  PMID: 40949819

Abstract

We present a genome assembly from a female specimen of Argynnis paphia (Silver-washed Fritillary; Arthropoda; Insecta; Lepidoptera; Nymphalidae). The assembly contains two haplotypes with total lengths of 520.88 megabases and 444.74 megabases. Most of haplotype 1 (97.96%) is scaffolded into 30 chromosomal pseudomolecules, including the W, Z 1, and Z 2 sex chromosomes. Haplotype 2 was assembled to scaffold level. The mitochondrial genome has also been assembled, with a length of 15.22 kilobases

Keywords: Argynnis paphia, Silver-washed Fritillary, genome sequence, chromosomal, Lepidoptera

Species taxonomy

Eukaryota; Opisthokonta; Metazoa; Eumetazoa; Bilateria; Protostomia; Ecdysozoa; Panarthropoda; Arthropoda; Mandibulata; Pancrustacea; Hexapoda; Insecta; Dicondylia; Pterygota; Neoptera; Endopterygota; Amphiesmenoptera; Lepidoptera; Glossata; Neolepidoptera; Heteroneura; Ditrysia; Obtectomera; Papilionoidea; Nymphalidae; Heliconiinae; Argynnini; Argynnis; Argynnis paphia (Linnaeus, 1758) (NCBI:txid171802)

Background

The Silver-washed Fritillary ( Argynnis paphia) is a widely distributed species, occurring from North Africa (Algeria) across Europe to the temperate regions of Asia to Japan ( Tshikolovets, 2011). This is a large Fritillary species that can be easily distinguished from others by examining the underside of the hindwings, which are metallic green and streaked with pearly striae. The male has four broad, parallel androconial striae, which release pheromones, on the upper surface of the forewings, while the slightly larger, duller-coloured female has none.

Argynnis paphia is a mesophilous forest species, occurring in most types of open forest, along forest roads, edges and clearings, including near wet meadows. To thrive, the species needs a mosaic of structures combining both areas of clear undergrowth rich in violets ( Viola spp.), shadier forest surfaces for egg-laying, but also, in the immediate vicinity, places with lusher vegetation where grow the nectar-bearing plants on which the adults feed ( Lafranchis et al., 2015; LSPN, 1987). Although isolated individuals are sometimes observed at elevations of over 2 000 m in the Alps, the species develops mainly in the colline and montane levels and rarely exceeds 1 500 m of elevation.

Caterpillars develop mainly on various species of violets ( Viola spp.), but meadowsweet ( Filipendula ulmaria) and raspberry ( Rubus idaeus) have also been cited as hosts ( Clarke, 2024; Ebert & Rennwald, 1991). Females do not usually lay eggs directly on the host plants used by the caterpillars, but more often in crevices in the bark of various trees, sometimes several metres high. According to Thomas and Lewington (2014), females choose particularly shady locations to lay their eggs. The species has only one generation a year, spread out over the course of the year, with adults living for several weeks. Widespread and undemanding, the species is not threatened in Europe (LC according to Van Swaay et al., 2010). Locally, however, it may be threatened by the destruction of certain forest areas and also by over-intensive management of edges and roadsides. The reference genome presented here will allow to investigate the biogeography of this species and provide and invaluable resource for understanding the evolution of Lepidoptera. The sequence data was derived from a female specimen ( Figure 1) collected from Barthélémys NE, Switzerland.

Figure 1. Voucher photograph of the Argynnis paphia (ilArgPaph1) specimen used for genome sequencing.

Figure 1.

Methods

Sample acquisition and DNA barcoding

The specimen used for genome sequencing was an adult female Argynnis paphia (specimen ID SAN28000137, ToLID ilArgPaph1; Figure 1), collected from Barthélémys NE, Switzerland (latitude 46.969, longitude 6.5462; elevation 1 050 m) on 10/08/2023. The specimen was collected and identified by Yannick Chittaro (Info Fauna, Switzerland).

Nucleic acid extraction

Protocols for high molecular weight (HMW) DNA extraction developed at the Wellcome Sanger Institute (WSI) Tree of Life Core Laboratory are available on protocols.io ( Howard et al., 2025). The ilArgPaph1 sample was weighed and triaged to determine the appropriate extraction protocol. Tissue from the thorax was homogenised by powermashing using a PowerMasher II tissue disruptor.

HMW DNA was extracted in the WSI Scientific Operations core using the Automated MagAttract v2 protocol. DNA was sheared into an average fragment size of 12–20 kb following the Megaruptor®3 for LI PacBio protocol. Sheared DNA was purified by automated SPRI (solid-phase reversible immobilisation). 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. For this sample, the final post-shearing DNA had a Qubit concentration of 47.99 ng/μL and a yield of 2 255.53 ng, with a fragment size of 14.0 kb. The 260/280 spectrophotometric ratio was 1.88, and the 260/230 ratio was 2.67.

PacBio HiFi library preparation and sequencing

Library preparation and sequencing were performed at the WSI Scientific Operations core. Libraries were prepared using the SMRTbell Prep Kit 3.0 (Pacific Biosciences, California, USA), following the manufacturer’s instructions. The kit includes reagents for end repair/A-tailing, adapter ligation, post-ligation SMRTbell bead clean-up, and nuclease treatment. Size selection and clean-up were performed using diluted AMPure PB beads (Pacific Biosciences). DNA concentration was quantified using a Qubit Fluorometer v4.0 (ThermoFisher Scientific) and the Qubit 1X dsDNA HS assay kit. Final library fragment size was assessed with the Agilent Femto Pulse Automated Pulsed Field CE Instrument (Agilent Technologies) using the gDNA 55 kb BAC analysis kit.

The sample was sequenced on a Revio instrument (Pacific Biosciences). The prepared library was normalised to 2 nM, and 15 μL was used for making complexes. Primers were annealed and polymerases bound to generate circularised complexes, following the manufacturer’s instructions. Complexes were purified using 1.2X SMRTbell beads, then diluted to the Revio loading concentration (200–300 pM) and spiked with a Revio sequencing internal control. The sample was sequenced on a Revio 25M SMRT cell. The SMRT Link software (Pacific Biosciences), a web-based workflow manager, was used to configure and monitor the run and to carry out primary and secondary data analysis.

Specimen details, sequencing platforms, and data yields are summarised in Table 1.

Table 1. Specimen and sequencing data for BioProject PRJEB78670.

Platform PacBio HiFi Hi-C
ToLID ilArgPaph1 ilArgPaph1
Specimen ID SAN28000137 SAN28000137
BioSample (source individual) SAMEA115110003 SAMEA115110003
BioSample (tissue) SAMEA115110022 SAMEA115110021
Tissue thorax head
Sequencing platform and model Revio Illumina NovaSeq X
Run accessions ERR13485706 ERR13474171
Read count total 1.69 million 909.98 million
Base count total 16.57 Gb 137.41 Gb

Hi-C

Sample preparation and crosslinking

The Hi-C sample was prepared from 20–50 mg of frozen head tissue of the ilArgPaph1 sample using the Arima-HiC v2 kit (Arima Genomics). Following the manufacturer’s instructions, tissue was fixed and DNA crosslinked using TC buffer to a final formaldehyde concentration of 2%. The tissue was homogenised using the Diagnocine Power Masher-II. Crosslinked DNA was digested with a restriction enzyme master mix, biotinylated, and ligated. Clean-up was performed with SPRISelect beads before library preparation. DNA concentration was measured with the Qubit Fluorometer (Thermo Fisher Scientific) and Qubit HS Assay Kit. The biotinylation percentage was estimated using the Arima-HiC v2 QC beads.

Hi-C library preparation and sequencing

Biotinylated DNA constructs were fragmented using a Covaris E220 sonicator and size selected to 400–600 bp using SPRISelect beads. DNA was enriched with Arima-HiC v2 kit Enrichment beads. End repair, A-tailing, and adapter ligation were carried out with the NEBNext Ultra II DNA Library Prep Kit (New England Biolabs), following a modified protocol where library preparation occurs while DNA remains bound to the Enrichment beads. Library amplification was performed using KAPA HiFi HotStart mix and a custom Unique Dual Index (UDI) barcode set (Integrated DNA Technologies). Depending on sample concentration and biotinylation percentage determined at the crosslinking stage, libraries were amplified with 10–16 PCR cycles. Post-PCR clean-up was performed with SPRISelect beads. Libraries were quantified using the AccuClear Ultra High Sensitivity dsDNA Standards Assay Kit (Biotium) and a FLUOstar Omega plate reader (BMG Labtech).

Prior to sequencing, libraries were normalised to 10 ng/μL. Normalised libraries were quantified again and equimolar and/or weighted 2.8 nM pools. Pool concentrations were checked using the Agilent 4200 TapeStation (Agilent) with High Sensitivity D500 reagents before sequencing. Sequencing was performed using paired-end 150 bp reads on the Illumina NovaSeq X.

Specimen details, sequencing platforms, and data yields are summarised in Table 1.

Genome assembly

Prior to assembly of the PacBio HiFi reads, a database of k-mer counts ( k = 31) was generated from the filtered reads using FastK. GenomeScope2 ( Ranallo-Benavidez et al., 2020) was used to analyse the k-mer frequency distributions, providing estimates of genome size, heterozygosity, and repeat content.

The HiFi reads were assembled using Hifiasm in Hi-C phasing mode ( Cheng et al., 2021; Cheng et al., 2022), producing two haplotypes. Hi-C reads ( Rao et al., 2014) were mapped to the primary contigs using bwa-mem2 ( Vasimuddin et al., 2019). Contigs were further scaffolded with Hi-C data in YaHS ( Zhou et al., 2023), using the --break option for handling potential misassemblies. The scaffolded assemblies were 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. TreeVal was used to generate the flat files and maps for use in curation. Manual curation was conducted primarily in PretextView and HiGlass ( Kerpedjiev et al., 2018). Scaffolds were visually inspected and corrected as described by Howe et al. (2021). Manual corrections included 3 breaks and 50 joins. The curation process is documented at https://gitlab.com/wtsi-grit/rapid-curation. PretextSnapshot was used to generate a Hi-C contact map of the final assembly.

Assembly quality assessment

Chromosomal painting was performed using lep_busco_painter using Merian elements, which represent the 32 ancestral linkage groups in Lepidoptera ( Wright et al., 2024). Painting was based on gene locations from the lepidoptera_odb10 BUSCO analysis and chromosome lengths from the genome index produced using SAMtools faidx ( Danecek et al., 2021). Each complete BUSCO (including both single-copy and duplicated BUSCOs) was assigned to a Merian element using a reference database, and coloured positions were plotted along chromosomes drawn to scale.

The Merqury.FK tool ( Rhie et al., 2020), run in a Singularity container ( Kurtzer et al., 2017), was used to evaluate k-mer completeness and assembly quality for both haplotypes using the k-mer databases ( k = 31) computed prior to genome assembly. The analysis outputs included assembly QV scores and completeness statistics.

The genome was analysed using the BlobToolKit pipeline, a Nextflow implementation of the earlier Snakemake BlobToolKit pipeline ( Challis et al., 2020). The pipeline aligns PacBio reads using minimap2 ( Li, 2018) and SAMtools ( Danecek et al., 2021) to generate coverage tracks. Simultaneously, it queries the GoaT database ( Challis et al., 2023) to identify relevant BUSCO lineages and runs BUSCO ( Manni et al., 2021). For the three domain-level BUSCO lineages, BUSCO genes are aligned to the UniProt Reference Proteomes database ( Bateman et al., 2023) using DIAMOND blastp ( Buchfink et al., 2021). The genome is divided into chunks based on the density of BUSCO genes from the closest taxonomic lineage, and each chunk is aligned to the UniProt Reference Proteomes database with DIAMOND blastx. Sequences without hits are chunked using seqtk and aligned to the NT database with blastn ( Altschul et al., 1990). The BlobToolKit suite consolidates all outputs into a blobdir for visualisation. The BlobToolKit pipeline was developed using nf-core tooling ( Ewels et al., 2020) and MultiQC ( Ewels et al., 2016), with package management via Conda and Bioconda ( Grüning et al., 2018), and containerisation through Docker ( Merkel, 2014) and Singularity ( Kurtzer et al., 2017).

Genome sequence report

Sequence data

The genome of a specimen of Argynnis paphia was sequenced using Pacific Biosciences single-molecule HiFi long reads, generating 16.57 Gb (gigabases) from 1.69 million reads, which were used to assemble the genome. GenomeScope2.0 analysis estimated the haploid genome size at 479.84 Mb, with a heterozygosity of 1.41% and repeat content of 29.59%. These estimates guided expectations for the assembly. Based on the estimated genome size, the sequencing data provided approximately 33× coverage. Hi-C sequencing produced 137.41 Gb from 909.98 million reads, which were used to scaffold the assembly. Table 1 summarises the specimen and sequencing details.

Assembly statistics

The genome was assembled into two haplotypes using Hi-C phasing. Haplotype 1 was curated to chromosome level, while haplotype 2 was assembled to scaffold level. The final assembly has a total length of 520.88 Mb in 140 scaffolds, with 169 gaps, and a scaffold N50 of 17.51 Mb ( Table 2).

Table 2. Genome assembly statistics.

Assembly name ilArgPaph1.hap1.1 ilArgPaph1.hap2.1
Assembly accession GCA_964264515.1 GCA_964264475.1
Assembly level chromosome scaffold
Span (Mb) 520.88 444.74
Number of chromosomes 30 N/A
Number of contigs 309 199
Contig N50 5.47 Mb 6.22 Mb
Number of scaffolds 140 95
Scaffold N50 17.51 Mb 16.5 Mb
Longest scaffold length (Mb) 37.79 N/A
Sex chromosomes W; Z 1 and Z 2 N/A
Organelles Mitochondrial genome: 15.22 kb N/A

Most of the assembly sequence (97.96%) was assigned to 30 chromosomal-level scaffolds, representing 27 autosomes and the W, Z 1, and Z 2 sex chromosomes. The chromosome-level scaffolds, confirmed by Hi-C data, are named according to size ( Figure 2; Table 3). Chromosome painting with Merian elements illustrates the distribution of orthologues along chromosomes and highlights patterns of chromosomal evolution relative to Lepidopteran ancestral linkage groups ( Figure 3).

Figure 2. Hi-C contact map of the Argynnis paphia genome assembly.

Figure 2.

Assembled chromosomes are shown in order of size. The map was produced in HiGlass.

Figure 3. Merian elements painted across chromosomes in the ilArgPaph1.hap1.1 assembly of Argynnis paphia.

Figure 3.

Chromosomes are drawn to scale, with the positions of orthologues shown as coloured bars. Each orthologue is coloured by the Merian element that it belongs to. All orthologues which could be assigned to Merian elements are shown.

Table 3. Chromosomal pseudomolecules in the haplotype 1 genome assembly of Argynnis paphia ilArgPaph1.

INSDC accession Molecule Length (Mb) GC% Assigned Merian elements
OZ182913.1 1 37.79 32.50 M5;M6
OZ182915.1 2 19.96 33 M17;M20
OZ182916.1 3 19.58 32.50 M2
OZ182917.1 4 19.04 33 M1
OZ182918.1 5 18.81 33 M3
OZ182919.1 6 18.59 32.50 M9
OZ182920.1 7 18.57 32.50 M8
OZ182921.1 8 18.35 32.50 M12
OZ182922.1 9 18.10 32.50 M7
OZ182923.1 10 17.51 32.50 M18
OZ182924.1 11 17.39 32.50 M16
OZ182925.1 12 16.28 32.50 M4
OZ182926.1 13 16.08 33 M10
OZ182927.1 14 16.08 33 M22
OZ182928.1 15 16.08 32.50 M21
OZ182929.1 16 15.58 33 M11
OZ182930.1 17 15.51 32.50 M15
OZ182931.1 18 15.22 33 M14
OZ182932.1 19 13.84 32.50 M13
OZ182933.1 20 13.54 33 M23
OZ182934.1 21 13.53 33.50 M19
OZ182935.1 22 13.13 32.50 M26
OZ182936.1 23 13.11 33 M24
OZ182937.1 24 11.13 32.50 M28
OZ182938.1 25 10.99 32.50 M27
OZ182939.1 26 9.19 35 M30
OZ182940.1 27 9.04 34 M29
OZ182912.1 W 29 37 N/A
OZ182914.1 Z 1 31.56 33 M25;MZ
OZ182941.1 Z 2 7.65 34.50 M31
OZ182942.1 MT 0.02 18.50 N/A

The mitochondrial genome was also assembled. This sequence is included as a contig in the multifasta file of the genome submission and as a standalone record.

Assembly quality metrics

For haplotype 1, the estimated QV is 59.9, and for haplotype 2, 60.0. When the two haplotypes are combined, the assembly achieves an estimated QV of 60.0. The k-mer completeness is 76.69% for haplotype 1, 70.22% for haplotype 2, and 99.64% for the combined haplotypes ( Figure 4). BUSCO analysis using the lepidoptera_odb10 reference set ( n = 5 286) ( Kriventseva et al., 2019) identified 98.8% of the expected gene set (single = 98.0%, duplicated = 0.8%) for haplotype 1. The snail plot in Figure 5 summarises the scaffold length distribution and other assembly statistics for haplotype 1. The blob plot in Figure 6 shows the distribution of scaffolds by GC proportion and coverage for haplotype 1.

Figure 4. Evaluation of k-mer completeness using MerquryFK.

Figure 4.

This plot illustrates the recovery of k‐mers from the original read data in the final assemblies. The horizontal axis represents k‐mer multiplicity, and the vertical axis shows the number of k‐mers. The black curve represents k‐mers that appear in the reads but are not assembled. The green curve (the homozygous peak) corresponds to k‐mers shared by both haplotypes and the red and blue curves (the heterozygous peaks) show k‐mers found only in one of the haplotypes.

Figure 5. Assembly metrics for ilArgPaph1.hap1.1.

Figure 5.

The BlobToolKit snail plot provides an overview of assembly metrics and BUSCO gene completeness. The circumference represents the length of the whole genome sequence, and the main plot is divided into 1,000 bins around the circumference. The outermost blue tracks display the distribution of GC, AT, and N percentages across the bins. Scaffolds are arranged clockwise from longest to shortest and are depicted in dark grey. The longest scaffold is indicated by the red arc, and the deeper orange and pale orange arcs represent the N50 and N90 lengths. A light grey spiral at the centre shows the cumulative scaffold count on a logarithmic scale. A summary of complete, fragmented, duplicated, and missing BUSCO genes in the set is presented at the top right. An interactive version of this figure can be accessed on the BlobToolKit viewer.

Figure 6. BlobToolKit GC-coverage plot for ilArgPaph1.hap1.1.

Figure 6.

Blob plot showing sequence coverage (vertical axis) and GC content (horizontal axis). The circles represent scaffolds, with the size proportional to scaffold length and the colour representing phylum membership. The histograms along the axes display the total length of sequences distributed across different levels of coverage and GC content. An interactive version of this figure is available on the BlobToolKit viewer.

Table 4 lists the assembly metric benchmarks adapted from Rhie et al. (2021) the Earth BioGenome Project Report on Assembly Standards September 2024. The EBP metric, calculated for the haplotype 1, is 6.C.Q59, meeting the recommended reference standard.

Table 4. Earth Biogenome Project summary metrics for the Argynnis paphia assembly.

Measure (Benchmark) Value
EBP summary (haplotype 1) 6.C.Q59
Contig N50 length (≥ 1 Mb) 5.47 Mb
Scaffold N50 length (= chromosome N50) 17.51 Mb
Consensus quality (QV) (≥ 40) Haplotype 1: 59.9; haplotype 2: 60.0; combined: 60.0
k-mer completeness (≥ 95%) Haplotype 1: 76.69%; Haplotype 2: 70.22%; combined: 99.64%
BUSCO (S > 90%; D < 5%) C:98.8%[S:98.0%‚D:0.8%]‚F:0.1%‚M:1.1%‚n:5286
Percentage of assembly assigned to chromosomes (≥ 90%) 97.96%

Wellcome Sanger Institute – Legal and Governance

The materials that have contributed to this genome note have been supplied by a Tree of Life collaborator. 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 undertaken according to a Research Collaboration Agreement or Material Transfer Agreement entered into by the Tree of Life collaborator, Genome Research Limited (operating as the Wellcome Sanger Institute), and in some circumstances, other Tree of Life collaborators.

Funding Statement

This work was supported by Wellcome through core funding to the Wellcome Sanger Institute (220540). KL was supported by the Swiss National Science Foundation (SNSF) Grant ID 202869.

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

[version 1; peer review: 2 approved]

Data availability

European Nucleotide Archive: Argynnis paphia (silver-washed fritillary). Accession number PRJEB78670. The genome sequence is released openly for reuse. The Argynnis paphia genome sequencing initiative is part of the Sanger Institute Tree of Life Programme (PRJEB43745) and Project Psyche (PRJEB71705). All raw sequence data and the assembly have been deposited in INSDC databases. The genome will be annotated using available RNA-Seq data and presented through Ensembl at the European Bioinformatics Institute. Raw data and assembly accession identifiers are reported in Table 1 and Table 2.

Pipelines used for genome assembly at the WSI Tree of Life are available at https://pipelines.tol.sanger.ac.uk/pipelines. Table 5 lists software versions used in this study.

Table 5. Software versions and sources.

Software Version Source
BEDTools 2.30.0 https://github.com/arq5x/bedtools2
BLAST 2.14.0 ftp://ftp.ncbi.nlm.nih.gov/blast/executables/blast+/
BlobToolKit 4.3.9 https://github.com/blobtoolkit/blobtoolkit
BUSCO 5.5.0 https://gitlab.com/ezlab/busco
bwa-mem2 2.2.1 https://github.com/bwa-mem2/bwa-mem2
Cooler 0.8.11 https://github.com/open2c/cooler
DIAMOND 2.1.8 https://github.com/bbuchfink/diamond
fasta_windows 0.2.4 https://github.com/tolkit/fasta_windows
FastK 1.1 https://github.com/thegenemyers/FASTK
GenomeScope2.0 2.0.1 https://github.com/tbenavi1/genomescope2.0
Gfastats 1.3.6 https://github.com/vgl-hub/gfastats
GoaT CLI 0.2.5 https://github.com/genomehubs/goat-cli
Hifiasm 0.19.8-r603 https://github.com/chhylp123/hifiasm
HiGlass 1.13.4 https://github.com/higlass/higlass
lep_busco_painter 1.0.0 https://github.com/charlottewright/lep_busco_painter
MerquryFK 1.1 https://github.com/thegenemyers/MERQURY.FK
Minimap2 2.24-r1122 https://github.com/lh3/minimap2
MitoHiFi 3 https://github.com/marcelauliano/MitoHiFi
MultiQC 1.14; 1.17 and 1.18 https://github.com/MultiQC/MultiQC
Nextflow 23.10.0 https://github.com/nextflow-io/nextflow
PretextSnapshot N/A https://github.com/sanger-tol/PretextSnapshot
PretextView 0.2.5 https://github.com/sanger-tol/PretextView
samtools 1.19.2 https://github.com/samtools/samtools
sanger-tol/ascc 0.1.0 https://github.com/sanger-tol/ascc
sanger-tol/blobtoolkit 0.6.0 https://github.com/sanger-tol/blobtoolkit
Seqtk 1.3 https://github.com/lh3/seqtk
Singularity 3.9.0 https://github.com/sylabs/singularity
TreeVal 1.2.0 https://github.com/sanger-tol/treeval
YaHS 1.2a.2 https://github.com/c-zhou/yahs

Author information

Contributors are listed at the following links:

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Wellcome Open Res. 2025 Sep 11. doi: 10.21956/wellcomeopenres.27149.r130579

Reviewer response for version 1

Jaakko Pohjoismäki 1

Yannick Chittaro, Andreas Sanchez, Kay Lucek, Charlotte J. Wright, Joana I. Meier, Mark L. Blaxter, the Tree of Life initiative, and the project Psyche community provide a genome report of  Argynnis paphia. The genome meets Earth BioGenome Project (EBP) standards and represents a highly continuous, chromosome-level reference genome assembly with two assembled haplotypes.

The introduction to the species is well written and informative, providing nicely also ecological context for the species. The sequencing, Hi-C–based chromosomal scaffolding, assembly, and annotation are carried out following the Darwin Tree of Life pipeline and appear technically sound and of high quality.

I find little to improve in this report. One point of additional interest could have been a commentary on the two types of Z sex chromosomes, but this may be better addressed in a broader comparative framework with related species are available.

Overall, this is a nice genome report and represents growing number of genomic resources for future research on Lepidoptera.

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:

molecular biology, biodiversity genetics, taxonomy

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. 2025 Sep 3. doi: 10.21956/wellcomeopenres.27149.r130583

Reviewer response for version 1

Jason Charamis 1

This manuscript presents a reference genome for the silver-washed fritillary butterfly,  Argynnis paphia . The work is technically sound and I have only a few text corrections to suggest:

1. Instead of "Silver-washed Fritillary" write "silver-washed fritillary butterfly" in the first sentence of Background.

2. Similarly in the second sentence of Background replace "Fritillary species" with "fritillary butterfly species"

3. Correct this sentence and make the relevance of this study more clear

"The reference genome presented here will allow to investigate the biogeography of this species and provide and invaluable resource for understanding the evolution of Lepidoptera."

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:

Arthropod Comparative 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.

Associated Data

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

    Data Availability Statement

    European Nucleotide Archive: Argynnis paphia (silver-washed fritillary). Accession number PRJEB78670. The genome sequence is released openly for reuse. The Argynnis paphia genome sequencing initiative is part of the Sanger Institute Tree of Life Programme (PRJEB43745) and Project Psyche (PRJEB71705). All raw sequence data and the assembly have been deposited in INSDC databases. The genome will be annotated using available RNA-Seq data and presented through Ensembl at the European Bioinformatics Institute. Raw data and assembly accession identifiers are reported in Table 1 and Table 2.

    Pipelines used for genome assembly at the WSI Tree of Life are available at https://pipelines.tol.sanger.ac.uk/pipelines. Table 5 lists software versions used in this study.

    Table 5. Software versions and sources.

    Software Version Source
    BEDTools 2.30.0 https://github.com/arq5x/bedtools2
    BLAST 2.14.0 ftp://ftp.ncbi.nlm.nih.gov/blast/executables/blast+/
    BlobToolKit 4.3.9 https://github.com/blobtoolkit/blobtoolkit
    BUSCO 5.5.0 https://gitlab.com/ezlab/busco
    bwa-mem2 2.2.1 https://github.com/bwa-mem2/bwa-mem2
    Cooler 0.8.11 https://github.com/open2c/cooler
    DIAMOND 2.1.8 https://github.com/bbuchfink/diamond
    fasta_windows 0.2.4 https://github.com/tolkit/fasta_windows
    FastK 1.1 https://github.com/thegenemyers/FASTK
    GenomeScope2.0 2.0.1 https://github.com/tbenavi1/genomescope2.0
    Gfastats 1.3.6 https://github.com/vgl-hub/gfastats
    GoaT CLI 0.2.5 https://github.com/genomehubs/goat-cli
    Hifiasm 0.19.8-r603 https://github.com/chhylp123/hifiasm
    HiGlass 1.13.4 https://github.com/higlass/higlass
    lep_busco_painter 1.0.0 https://github.com/charlottewright/lep_busco_painter
    MerquryFK 1.1 https://github.com/thegenemyers/MERQURY.FK
    Minimap2 2.24-r1122 https://github.com/lh3/minimap2
    MitoHiFi 3 https://github.com/marcelauliano/MitoHiFi
    MultiQC 1.14; 1.17 and 1.18 https://github.com/MultiQC/MultiQC
    Nextflow 23.10.0 https://github.com/nextflow-io/nextflow
    PretextSnapshot N/A https://github.com/sanger-tol/PretextSnapshot
    PretextView 0.2.5 https://github.com/sanger-tol/PretextView
    samtools 1.19.2 https://github.com/samtools/samtools
    sanger-tol/ascc 0.1.0 https://github.com/sanger-tol/ascc
    sanger-tol/blobtoolkit 0.6.0 https://github.com/sanger-tol/blobtoolkit
    Seqtk 1.3 https://github.com/lh3/seqtk
    Singularity 3.9.0 https://github.com/sylabs/singularity
    TreeVal 1.2.0 https://github.com/sanger-tol/treeval
    YaHS 1.2a.2 https://github.com/c-zhou/yahs

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

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