The genome sequence of the Pale Tussock moth, Calliteara pudibunda (Linnaeus, 1758) (Lepidoptera: Erebidae)
Laura Sivess, Gavin R. Broad, Stephanie Holt, Douglas Boyes, Annabel Whibley, Henk den Bakker

TL;DR
This paper presents the genome sequence of the Pale Tussock moth, including a detailed assembly of its chromosomes and mitochondrial DNA.
Contribution
The novel contribution is the first reference genome assembly for the Pale Tussock moth, including scaffolded chromosomes and the mitochondrial genome.
Findings
The genome assembly is 1,035.55 megabases in length.
99.83% of the assembly is organized into 88 chromosomal pseudomolecules, including the Z sex chromosome.
The mitochondrial genome is 16.72 kilobases long.
Abstract
We present a genome assembly from an individual male Calliteara pudibunda (Pale Tussock; Arthropoda; Insecta; Lepidoptera; Erebidae). The genome sequence has a total length of 1 035.55 megabases. Most of the assembly (99.83%) is scaffolded into 88 chromosomal pseudomolecules, including the Z sex chromosome. The mitochondrial genome has also been assembled, with a length of 16.72 kilobases. This assembly was generated as part of the Darwin Tree of Life project, which produces reference genomes for eukaryotic species found in Britain and Ireland.
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6| Platform | PacBio HiFi | Hi-C | RNA-seq |
|---|---|---|---|
|
| ilCalPudi2 | ilCalPudi1 | ilCalPudi2 |
|
| NHMUK014536854 | NHMUK014536854 | |
|
| SAMEA111457921 | SAMEA7520528 | SAMEA111457921 |
|
| SAMEA111457991 | SAMEA7520623 | SAMEA111458076 |
|
| head | head | thorax |
|
| Revio | Illumina NovaSeq 6000 | Illumina NovaSeq X |
|
| ERR13245287 | ERR13248957 | ERR14792833 |
|
| 9.24 million | 850.35 million | 99.54 million |
|
| 84.06 Gb | 128.40 Gb | 15.03 Gb |
|
| ilCalPudi2.1 |
|
| GCA_965615895.1 |
|
| GCA_965615845.1 |
|
| chromosome |
|
| 1 035.55 |
|
| 88 |
|
| 466 |
|
| 3.93 Mb |
|
| 110 |
|
| 10.85 Mb |
|
| Z |
|
| Mitochondrion: 16.72 kb |
| INSDC accession | Molecule | Length (Mb) | GC% |
|---|---|---|---|
| 1 | 56.33 | 36 | |
| 2 | 26.63 | 36 | |
| 3 | 17.54 | 35.50 | |
| 4 | 15.93 | 36 | |
| 5 | 15.80 | 36 | |
| 6 | 15.77 | 36.50 | |
| 7 | 15.44 | 36.50 | |
| 8 | 14.53 | 35.50 | |
| 9 | 14.10 | 36.50 | |
| 10 | 13.42 | 36 | |
| 11 | 13.33 | 36 | |
| 12 | 13.12 | 35 | |
| 13 | 13.07 | 36 | |
| 14 | 13.01 | 36 | |
| 15 | 12.97 | 36 | |
| 16 | 12.67 | 35.50 | |
| 17 | 12.57 | 36 | |
| 18 | 12.32 | 36 | |
| 19 | 11.98 | 35.50 | |
| 20 | 11.91 | 35.50 | |
| 21 | 11.74 | 36 | |
| 22 | 11.63 | 36 | |
| 23 | 11.42 | 36 | |
| 24 | 11.38 | 36 | |
| 25 | 11.32 | 36 | |
| 26 | 11.30 | 36.50 | |
| 27 | 11.22 | 35.50 | |
| 28 | 11.11 | 35.50 | |
| 29 | 11.10 | 36 | |
| 30 | 11.06 | 36 | |
| 31 | 10.95 | 35.50 | |
| 32 | 10.91 | 37 | |
| 33 | 10.85 | 36 | |
| 34 | 10.81 | 36 | |
| 35 | 10.79 | 36.50 | |
| 36 | 10.64 | 36 | |
| 37 | 10.64 | 35.50 | |
| 38 | 10.60 | 35 | |
| 39 | 10.55 | 36.50 | |
| 40 | 10.52 | 35.50 | |
| 41 | 10.50 | 35 | |
| 42 | 10.49 | 35.50 | |
| 43 | 10.47 | 35.50 | |
| 44 | 10.47 | 35.50 | |
| 45 | 10.43 | 36 | |
| 46 | 10.41 | 36.50 | |
| 47 | 10.36 | 35.50 | |
| 48 | 10.35 | 36 | |
| 49 | 10.27 | 36.50 | |
| 50 | 10.24 | 35.50 | |
| 51 | 10.23 | 36 | |
| 52 | 10.19 | 35.50 | |
| 53 | 9.99 | 36 | |
| 54 | 9.92 | 35.50 | |
| 55 | 9.84 | 35.50 | |
| 56 | 9.80 | 35.50 | |
| 57 | 9.74 | 35.50 | |
| 58 | 9.67 | 36 | |
| 59 | 9.67 | 35.50 | |
| 60 | 9.61 | 36.50 | |
| 61 | 9.55 | 35.50 | |
| 62 | 9.55 | 36 | |
| 63 | 9.41 | 36.50 | |
| 64 | 9.38 | 36 | |
| 65 | 9.35 | 36 | |
| 66 | 9.33 | 35.50 | |
| 67 | 9.15 | 36 | |
| 68 | 9.14 | 36 | |
| 69 | 9.09 | 36.50 | |
| 70 | 9.08 | 35.50 | |
| 71 | 8.92 | 36.50 | |
| 72 | 8.89 | 36.50 | |
| 73 | 8.82 | 36 | |
| 74 | 8.55 | 36 | |
| 75 | 8.50 | 36.50 | |
| 76 | 8.48 | 36.50 | |
| 77 | 8.42 | 36.50 | |
| 78 | 8.31 | 36.50 | |
| 79 | 8.25 | 36 | |
| 80 | 8.16 | 36.50 | |
| 81 | 8.13 | 36 | |
| 82 | 8.09 | 37 | |
| 83 | 8.06 | 36.50 | |
| 84 | 7.80 | 36.50 | |
| 85 | 7.55 | 36 | |
| 86 | 7.34 | 36.50 | |
| 87 | 6.94 | 37 | |
| Z | 45.89 | 35.50 |
| Measure | Value | Benchmark |
|---|---|---|
| EBP summary (primary) | 6.C.Q54 | 6.C.Q40 |
| Contig N50 length | 3.93 Mb | ≥ 1 Mb |
| Scaffold N50 length | 10.85 Mb | = chromosome N50 |
| Consensus quality (QV) | Primary: 54.4; alternate: 53.9; combined: 54.0 | ≥ 40 |
|
| Primary: 83.35%; alternate: 84.44%; combined: 99.46% | ≥ 95% |
| BUSCO | C:99.2% [S:98.2%; D:1.0%]; F:0.5%; M:0.3%; n:5 286 | S > 90%; D < 5% |
| Percentage of assembly assigned to chromosomes | 99.83% | ≥ 90% |
- —Wellcome Trust
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Taxonomy
TopicsLepidoptera: Biology and Taxonomy · Hymenoptera taxonomy and phylogeny · Genetic diversity and population structure
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; Noctuoidea; Erebidae; Lymantriinae; Calliteara; Calliteara pudibunda (Linnaeus, 1758) (NCBI:txid875926)
Background
Calliteara pudibunda, commonly known as the Pale Tussock, belongs to the family Erebidae (subfamily Lymantriinae). It is widespread across England, Wales, and Northern Ireland, with a more limited distribution in Scotland ( NBN Atlas Partnership, 2025). Native to the north-western Palaearctic region, the species is broadly distributed throughout Europe ( GBIF Secretariat, 2023), with sporadic occurrences outside its typical range, including georeferenced records from eastern Asia ( GBIF Secretariat, 2023).
Adults fly in May and June and have a wingspan ranging from 40 to 60 mm. They are characterised by pale grey wings with brown markings. The species is mildly sexually dimorphic: males possess feathered, orange-brown antennae and generally exhibit darker and more defined wing patterns than the larger females. Both sexes have distinctive, furry forelegs that are forward facing when at rest ( Kimber, 2025).
Larvae resemble those of the Dark Tussock ( Dicallomera fascelina) but are distinguished by four tufts of yellow hairs and a body colour ranging from light yellow to pale green. After feeding from June to early October, the larvae overwinter as pupae. The species feeds on a variety of broadleaved trees and deciduous shrubs, including Barberry ( Berberis vulgaris), Beech ( Fagus spp.), Blackthorn ( Prunus spinosa), Oak ( Quercus spp.), and Hazel ( Corylus avellana). Consequently, its habitats are diverse and include gardens, hedgerows, woodlands, and scrublands. Larvae fluoresce under UV light and can be found that way on foliage at night.
Historically, Pale Tussock larvae were considered pests of cultivated hop ( Humulus lupulus), a plant introduced to Britain by the early 16th century and extensively grown for beer production; indeed, an old vernacular name in England was ‘Hop Dog’. At its peak in the 1870s, hop cultivation covered over 70 000 acres of arable land ( Cornell, 2009). Today, the species is known to occasionally cause defoliation in beech forests in Europe, with outbreaks typically occurring at intervals of 20 to 30 years. These outbreaks typically persist for 2 to 3 years before collapsing, likely due to larval mortality induced by pathogens ( Mazzoglio et al., 2005). Notably, in 2018 and 2019, an outbreak in Bursa Province, Turkey, resulted in widespread defoliation of beech forests, marking the southernmost recorded pest outbreak for this species. Warmer winters have been associated with increased outbreak risk, likely due to decreased pupal mortality and accelerated population growth ( Ipekdal, 2022).
Strategic forest management can mitigate the pest potential of C. pudibunda. In particular, cultivating mixed forest stands significantly reduces outbreak likelihood, with studies showing relative abundance of this species declining as the spruce-to-beech ratio increases ( Heiermann & Schütz, 2008).
A genome sequence of C. pudibunda was produced as part of the Darwin Tree of Life project. The specimen used for sequencing ( Figure 1) was collected from Gilbert White’s House, Selborne, United Kingdom, during a targeted field sampling effort. This assembly represents the first high-quality genome for the genus Calliteara as of September 2025 (data obtained via NCBI datasets, O’Leary et al., 2024). This genomic resource will facilitate functional and comparative genomic studies in areas such as insect neurobiology, visual system development, and host plant specialisation. Furthermore, it contributes to the growing body of genomic data available for Lepidoptera, supporting investigations into molecular evolution and adaptation across this diverse order.
Photograph of the Calliteara pudibunda (ilCalPudi2) specimen used for genome sequencing.
Methods
Sample acquisition and DNA barcoding
The specimen used for genome sequencing was an adult male Calliteara pudibunda (specimen ID NHMUK014536854, ToLID ilCalPudi2; Figure 1), collected from Selborne, Gilbert White’s House, England, UK (latitude 51.09, longitude –0.94) on 2021-06-10. The specimen was collected by Gavin Broad, Stephanie West and Laura Sivess and formally identified by Gavin Broad. A second specimen was used for Hi-C sequencing (specimen ID Ox000406, ToLID ilCalPudi1). It was collected from Wytham Woods, Oxfordshire, UK (latitude 51.771, longitude –1.337) on 2020-05-22. The specimen was collected and identified by Douglas Boyes. Sample metadata were collected in line with the Darwin Tree of Life project standards described by Lawniczak et al. (2022).
The initial identification was verified by an additional DNA barcoding process according to the framework developed by Twyford et al. (2024). A small sample was dissected from the specimen and stored in ethanol, while the remaining parts were shipped on dry ice to the Wellcome Sanger Institute (WSI) (see the protocol). The tissue was lysed, the COI marker region was amplified by PCR, and amplicons were sequenced and compared to the BOLD database, confirming the species identification ( Crowley et al., 2023). Following whole genome sequence generation, the relevant DNA barcode region was also used alongside the initial barcoding data for sample tracking at the WSI ( Twyford et al., 2024). The standard operating procedures for Darwin Tree of Life barcoding are available on protocols.io.
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 ilCalPudi2 sample was weighed and triaged to determine the appropriate extraction protocol. Tissue from the head 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 manual 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 9.12 ng/μL and a yield of 410.40 ng, with a fragment size of 12.6 kb. The 260/280 spectrophotometric ratio was 1.7, and the 260/230 ratio was 1.03.
RNA was extracted from thorax tissue of ilCalPudi2 in the Tree of Life Laboratory at the WSI using the RNA Extraction: Automated MagMax™ mirVana protocol. 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.
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.
Hi-C
** Sample preparation and crosslinking **
The Hi-C sample was prepared from 20–50 mg of frozen head tissue from the ilCalPudi1 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 6000.
RNA library preparation and sequencing
Libraries were prepared using the NEBNext ^®^ Ultra™ II Directional RNA Library Prep Kit for Illumina (New England Biolabs), following the manufacturer’s instructions. Poly(A) mRNA in the total RNA solution was isolated using oligo(dT) beads, converted to cDNA, and uniquely indexed; 14 PCR cycles were performed. Libraries were size-selected to produce fragments between 100–300 bp. Libraries were quantified, normalised, pooled to a final concentration of 2.8 nM, and diluted to 150 pM for loading. Sequencing was carried out on the Illumina NovaSeq X to generate 150-bp paired-end reads.
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 ( Cheng et al., 2021) with the --primary option. The Hi-C reads ( Rao et al., 2014) were mapped to the primary contigs using bwa-mem2 ( Vasimuddin et al., 2019), and the contigs were scaffolded in YaHS ( Zhou et al., 2023) with 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 10 breaks and 17 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
The Merqury.FK tool ( Rhie et al., 2020) was run in a Singularity container ( Kurtzer et al., 2017) to evaluate k-mer completeness and assembly quality for the primary and alternate 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 version ( Challis et al., 2020). The pipeline aligns PacBio reads using minimap2 ( Li, 2018) and SAMtools ( Danecek et al., 2021) to generate coverage tracks. It runs BUSCO ( Manni et al., 2021) using lineages identified from the NCBI Taxonomy ( Schoch et al., 2020). For the three domain-level 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 containerisation through Docker ( Merkel, 2014) and Singularity ( Kurtzer et al., 2017).
Genome sequence report
Sequence data
PacBio sequencing of the Calliteara pudibunda specimen generated 84.06 Gb (gigabases) from 9.24 million reads, which were used to assemble the genome. GenomeScope2.0 analysis estimated the haploid genome size at 1 005.48 Mb, with a heterozygosity of 0.77% and repeat content of 32.36% ( Figure 2). These estimates guided expectations for the assembly. Based on the estimated genome size, the sequencing data provided approximately 81× coverage. Hi-C sequencing produced 128.40 Gb from 850.35 million reads, which were used to scaffold the assembly. RNA sequencing data were also generated and are available in public sequence repositories. Table 1 summarises the specimen and sequencing details.
Frequency distribution of k-mers generated using GenomeScope2.The plot shows observed and modelled k-mer spectra, providing estimates of genome size, heterozygosity, and repeat content based on unassembled sequencing reads.
Assembly statistics
The primary haplotype was assembled, and contigs corresponding to an alternate haplotype were also deposited in INSDC databases. The final assembly has a total length of 1 035.55 Mb in 110 scaffolds, with 356 gaps, and a scaffold N50 of 10.85 Mb ( Table 2).
Most of the assembly sequence (99.83%) was assigned to 88 chromosomal-level scaffolds, representing 87 autosomes and the Z sex chromosome. These chromosome-level scaffolds, confirmed by Hi-C data, are named according to size ( Figure 3; Table 3). The Z chromosome was identified based on BUSCO gene painting with ancestral Merian elements ( Wright et al., 2024).
Hi-C contact map of the Calliteara pudibunda genome assembly.Assembled chromosomes are shown in order of decreasing size and labelled along the axes, with a megabase scale shown below. For legibility, small chromosomes are labelled with a dot. The plot was generated using PretextSnapshot.
Table 3.: Chromosomal pseudomolecules in the primary genome assembly of Calliteara pudibunda ilCalPudi2.
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.
The combined primary and alternate assemblies achieve an estimated QV of 54.0. The k-mer completeness is 83.35% for the primary assembly, 84.44% for the alternate haplotype, and 99.46% for the combined assemblies ( Figure 4).
Evaluation of k-mer completeness using MerquryFK.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 corresponds to k-mers shared by both haplotypes, and the red and blue curves show k-mers found only in one of the haplotypes.
BUSCO v.5.8.3 analysis using the lepidoptera_odb10 reference set ( n = 5 286) identified 99.2% of the expected gene set (single = 98.2%, duplicated = 1.0%). The snail plot in Figure 5 summarises the scaffold length distribution and other assembly statistics for the primary assembly. The blob plot in Figure 6 shows the distribution of scaffolds by GC proportion and coverage.
Assembly metrics for ilCalPudi2.1.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 lepidoptera_odb10 set is presented at the top right. An interactive version of this figure can be accessed on the BlobToolKit viewer.
BlobToolKit GC-coverage plot for ilCalPudi2.1.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) and the Earth BioGenome Project Report on Assembly Standards September 2024. The EBP metric, calculated for the primary assembly, is 6.C.Q54, meeting the recommended reference standard.
Table 4.: Earth Biogenome Project summary metrics for the Calliteara pudibunda assembly.
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. 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 materialLegality 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.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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