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. 2025 Oct 13;10:575. [Version 1] doi: 10.12688/wellcomeopenres.24678.1

The genome sequence of a Chequered Beetle, Tillus elongatus (Linnaeus, 1758) (Coleoptera: Cleridae)

Roger Booth 1, Liam M Crowley 2; Natural History Museum Genome Acquisition Lab; University of Oxford and Wytham Woods Genome Acquisition Lab; Darwin Tree of Life Barcoding Collective; 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: PMC12640499  PMID: 41287799

Abstract

We present a genome assembly from an individual male Tillus elongatus (Chequered Beetle; Arthropoda; Insecta; Coleoptera; Cleridae). The genome sequence has a total length of 1 719.08 megabases. Most of the assembly (99.88%) is scaffolded into 10 chromosomal pseudomolecules, including the X and Y sex chromosomes. The mitochondrial genome has also been assembled, with a length of 16.01 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.

Keywords: Tillus elongatus; Chequered Beetle; genome sequence; chromosomal; Coleoptera

Species taxonomy

Eukaryota; Opisthokonta; Metazoa; Eumetazoa; Bilateria; Protostomia; Ecdysozoa; Panarthropoda; Arthropoda; Mandibulata; Pancrustacea; Hexapoda; Insecta; Dicondylia; Pterygota; Neoptera; Endopterygota; Coleoptera; Polyphaga; Cucujiformia; Cleroidea; Cleridae; Tillinae; Tillus; Tillus elongatus Linnaeus, 1758 (NCBI:txid295696)

Background

Tillus elongatus (Linnaeus, 1758) belongs in the Family Cleridae, commonly called Chequered Beetles. It is shining and elongate in shape, subcylindrical, with the head and pronotum of approximately equal breadth and both narrower than the elytra which are slightly widened towards their apices, and 6–10 mm in length. It can be recognised readily in the field by its shortish serrate antennae and colouration. The head, antennae and legs are black, the elytra are black with a slight bluish tinge and the elongate pronotum is usually red although some males can have darker pronota ( Duff, 2020).

Adults can be found on or near dead wood of broad-leaved trees. Larvae are predators of wood-worm beetles (Ptinidae: Anobiinae) in their tunnels in dead wood.

Tillus elongatus is a widespread but local species in England, rarer further north, and in south Wales. It was regarded formerly as of Notable B status ( Hyman & Parsons, 1992), and now as Nationally Scarce by Alexander (2014). Outside the UK, it occurs in suitable habitats throughout most of the Palaearctic Region except for the far north.

We present a chromosome-level genome sequence for Tillus elongatus. This assembly is the first high‑quality genome for the genus Tillus and one of two genomes available for the family Cleridae as of August 2025 (data obtained via NCBI datasets, O’Leary et al., 2024). The assembly was produced using the Tree of Life pipeline from a specimen collected in Kelling Heath, England, United Kingdom ( Figure 1). It was generated as part of the Darwin Tree of Life Project, which aims to generate high-quality reference genomes for all named eukaryotic species in Britain and Ireland to support research, conservation, and the sustainable use of biodiversity ( Blaxter et al., 2022).

Figure 1. Photograph of the Tillus elongatus (icTilElon2) specimen used for genome sequencing.

Figure 1.

Methods

Sample acquisition and DNA barcoding

The specimen used for genome sequencing was an adult male Tillus elongatus (specimen ID NHMUK015059098, ToLID icTilElon2; Figure 1), collected from Kelling Heath, England, UK(latitude 52.93, longitude 1.12) on 2022-07-04. The specimen was collected and identified by Roger Booth (Natural History Museum). A second specimen was used for Hi-C sequencing (specimen ID Ox001863, ToLID icTilElon1). It was collected from Wytham Woods, Oxfordshire, United Kingdom (latitude 51.77, longitude –1.34) on 2021-09-03. This specimen was collected and identified by Liam Crowley. For the Darwin Tree of Life sampling and metadata approach, refer to 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 icTilElon2 sample was weighed and triaged to determine the appropriate extraction protocol. Tissue from the whole organism was homogenised by powermashing using a PowerMasher II tissue disruptor.

HMW DNA was extracted 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 27.6 ng/μL and a yield of 3 588.00 ng. The 260/280 spectrophotometric ratio was 1.84, and the 260/230 ratio was 1.57.

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 tissue of the icTilElon1 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.

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. Haplotypic duplications were identified and removed using purge_dups ( Guan et al., 2020). 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 23 breaks, 33 joins, and removal of 9 haplotypic duplications. 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 Tillus elongatus specimen generated 55.63 Gb (gigabases) from 5.33 million reads, which were used to assemble the genome. GenomeScope2.0 analysis estimated the haploid genome size at 1 734.23 Mb, with a heterozygosity of 0.83% and repeat content of 51.05% ( Figure 2). These estimates guided expectations for the assembly. Based on the estimated genome size, the sequencing data provided approximately 31× coverage. Hi-C sequencing produced 112.18 Gb from 742.91 million reads, which were used to scaffold the assembly. Table 1 summarises the specimen and sequencing details.

Figure 2. Frequency distribution of k-mers generated using GenomeScope2.

Figure 2.

The plot shows observed and modelled k-mer spectra, providing estimates of genome size, heterozygosity, and repeat content based on unassembled sequencing reads.

Table 1. Specimen and sequencing data for BioProject PRJEB68026.

Platform PacBio HiFi Hi-C
ToLID icTilElon2 icTilElon1
Specimen ID NHMUK015059098 Ox001863
BioSample (source individual) SAMEA112963079 SAMEA10979123
BioSample (tissue) SAMEA112963172 SAMEA10979531
Tissue whole organism whole organism
Instrument Revio Illumina NovaSeq 6000
Run accessions ERR12205289 ERR12245620
Read count total 5.33 million 742.91 million
Base count total 55.63 Gb 112.18 Gb

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 1 719.08 Mb in 41 scaffolds, with 702 gaps, and a scaffold N50 of 190.09 Mb ( Table 2).

Table 2. Genome assembly statistics.

Assembly name icTilElon2.1
Assembly accession GCA_964006375.1
Alternate haplotype accession GCA_964006135.1
Assembly level chromosome
Span (Mb) 1 719.08
Number of chromosomes 10
Number of contigs 743
Contig N50 4.0 Mb
Number of scaffolds 41
Scaffold N50 190.09 Mb
Sex chromosomes X and Y
Organelles Mitochondrion: 16.01 kb

Most of the assembly sequence (99.88%) was assigned to 10 chromosomal-level scaffolds, representing 8 autosomes and the X and Y sex chromosomes. These chromosome-level scaffolds, confirmed by Hi-C data, are named according to size ( Figure 3; Table 3). Chromosomes X and Y were assigned based on read coverage statistics.

Figure 3. Hi-C contact map of the Tillus elongatus genome assembly.

Figure 3.

Assembled chromosomes are shown in order of size and labelled along the axes, with a megabase scale shown below. The plot was generated using PretextSnapshot.

Table 3. Chromosomal pseudomolecules in the primary genome assembly of Tillus elongatus icTilElon2.

INSDC accession Molecule Length (Mb) GC%
OZ023262.1 1 337.70 35
OZ023263.1 2 253.43 35
OZ023264.1 3 192.29 35
OZ023265.1 4 190.09 35
OZ023266.1 5 177.71 35.50
OZ023267.1 6 151.77 35.50
OZ023268.1 7 149.14 35.50
OZ023270.1 8 113.76 36.50
OZ023269.1 X 134.83 35.50
OZ023271.1 Y 16.27 35.50

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 50.3. The k-mer completeness is 83.76% for the primary assembly, 76.02% for the alternate haplotype, and 97.82% for the combined assemblies ( Figure 4). BUSCO v.5.5.0 analysis using the endopterygota_odb10 reference set ( n = 2 124) identified 98.5% of the expected gene set (single = 96.2%, duplicated = 2.3%). 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.

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 corresponds to k‐mers shared by both haplotypes, and the red and blue curves show k‐mers found only in one of the haplotypes.

Figure 5. Assembly metrics for icTilElon2.1.

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 endopterygota_odb10 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 icTilElon2.1.

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 primary assembly, is 6.C.Q50, meeting the recommended reference standard.

Table 4. Earth Biogenome Project summary metrics for the Tillus elongatus assembly.

Measure Value Benchmark
EBP summary (primary) 6.C.Q50 6.C.Q40
Contig N50 length 4 Mb ≥ 1 Mb
Scaffold N50 length 190.09 Mb = chromosome N50
Consensus quality (QV) Primary: 49.8; alternate: 50.5; combined: 50.3 ≥ 40
k-mer completeness Primary:83.76%; alternate: 76.02%; combined: 97.82% ≥ 95%
BUSCO C:98.5% [S:96.2%; D:2.3%]; F:0.6%; M:0.8%; n:2 124 S > 90%; D < 5%
Percentage of assembly assigned to chromosomes 99.88% ≥ 90%

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 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.

Funding Statement

This work was supported by Wellcome through core funding to the Wellcome Sanger Institute (220540) and the Darwin Tree of Life Discretionary Award (218328).

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

[version 1; peer review: 3 approved]

Data availability

European Nucleotide Archive: Tillus elongatus. Accession number PRJEB68026. The genome sequence is released openly for reuse. The Tillus elongatus genome sequencing initiative is part of the Darwin Tree of Life Project (PRJEB40665) and the Sanger Institute Tree of Life Programme (PRJEB43745). 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 the Ensembl pipeline at the European Bioinformatics Institute. Raw data and assembly accession identifiers are reported in Table 1 and Table 2.

Production code used in genome assembly at the WSI Tree of Life is available at https://github.com/sanger-tol. 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 0.19.5-r587 https://github.com/chhylp123/hifiasm
HiGlass 1.13.4 https://github.com/higlass/higlass
MerquryFK 1.1.2 https://github.com/thegenemyers/MERQURY.FK
Minimap2 2.24-r1122 https://github.com/lh3/minimap2
MitoHiFi 2 https://github.com/marcelauliano/MitoHiFi
MultiQC 1.14; 1.17 and 1.18 https://github.com/MultiQC/MultiQC
Nextflow 23.04.1 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
purge_dups 1.2.3 https://github.com/dfguan/purge_dups
samtools 1.19.2 https://github.com/samtools/samtools
sanger-tol/ascc 0.1.0 https://github.com/sanger-tol/ascc
sanger-tol/blobtoolkit 0.4.0 https://github.com/sanger-tol/blobtoolkit
sanger-tol/curationpretext 1.4.2 https://github.com/sanger-tol/curationpretext
Seqtk 1.3 https://github.com/lh3/seqtk
Singularity 3.9.0 https://github.com/sylabs/singularity
TreeVal 1.4.0 https://github.com/sanger-tol/treeval
YaHS 1.1a.2 https://github.com/c-zhou/yahs

Author information

Contributors are listed at the following links:

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Wellcome Open Res. 2025 Nov 24. doi: 10.21956/wellcomeopenres.27193.r136862

Reviewer response for version 1

Sivasankaran Kuppusamy 1

The authors sequenced the genome of  Tillus elongatus (Linnaeus, 1758). Authors have assembled the genome sequence and received a total length of 1,719.08 Mb. They received 10 chromosomal pseudomolecules through scaffolding.

Minor comments on the manuscript

In the background of the manuscript, the first sentence  Tillus elongatus (Linnaeus, 1758) belongs in the Family. The first letter of the “Family” can be a small letter.

The authors consistently used the whole form of the genus name  Tillus throughout the text. The genus name can be used in full form first time and the can be a short form like  Tillus  elongatus.

The genome was not annotated in this genome sequencing. Any reason? Because protein-coding genes, non-coding genes and gene transcripts can be observed through the genome annotation.

The research article was well prepared and the manuscript meets the necessary scientific standard and is suitable for indexing

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:

Phylogenetic analysis of Noctuoidea moths using mitochondrial genome sequence

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 Nov 22. doi: 10.21956/wellcomeopenres.27193.r138146

Reviewer response for version 1

Krystyna Nadachowska-Brzyska 1,2

This report presents the genome assembly of a male Tillus elongatus individual. This is the first genome for the genus Tillus, and one of only two available for the Clerida family. This makes it a valuable resource not only for this family, but also more generally for the underrepresented (in the number of available genome assemblies) Coleaptera group.

Following the standards and presentation style of Wellcome Open Research reports, it provides sufficient details on the methodology, assembly statistics, and other results. As far as I can tell, it is a good chromosomal-level assembly. I only have minor comments.

1. It would be helpful to include a small map or provide a link to an existing resource showing the geographical distribution of T. elongatus. This would make it much easier to understand than reading about the distribution alone.

2. The description of the species morphology reads like a popular science description. I would appreciate a more formal description.

3. Is classical cytogenetic karyotyping available for the species?

4. There is a missing space after 'UK' in the sentence:

'... collected from Kelling Heath, England, UK (latitude 52.93, longitude 1.12)'.

5. The authors state that 'the genome will be annotated using available RNA-Seq data and presented through the Ensembl pipeline at the European Bioinformatics Institute'.

Shouldn't reports include annotations at publication?

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:

population genetics

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 Nov 11. doi: 10.21956/wellcomeopenres.27193.r138143

Reviewer response for version 1

Geoff S Oxford 1

The background is short but informative. It would be useful if field photographs of adult specimens with a red and a dark (often black) pronotum (e.g. https://www.eakringbirds.com/eakringbirds2/insectinfocustilluselongatus.htm) and also of larvae and pupae (e.g. https://www.shutterstock.com/search/tillus-elongatus). My only other comment is that a space is needed under 'Sample acquisition and DNA barcoding', 2nd line between 'UK' and '(latitude...'. It is not within my expertise to judge the technical aspects, which are standard DToL procedures.

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:

I have worked on several species of beetle and have a background in population genetics, including molecular aspects. However, I don't have the expertise to judge what are standard DToL procedures.

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: Tillus elongatus. Accession number PRJEB68026. The genome sequence is released openly for reuse. The Tillus elongatus genome sequencing initiative is part of the Darwin Tree of Life Project (PRJEB40665) and the Sanger Institute Tree of Life Programme (PRJEB43745). 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 the Ensembl pipeline at the European Bioinformatics Institute. Raw data and assembly accession identifiers are reported in Table 1 and Table 2.

    Production code used in genome assembly at the WSI Tree of Life is available at https://github.com/sanger-tol. 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 0.19.5-r587 https://github.com/chhylp123/hifiasm
    HiGlass 1.13.4 https://github.com/higlass/higlass
    MerquryFK 1.1.2 https://github.com/thegenemyers/MERQURY.FK
    Minimap2 2.24-r1122 https://github.com/lh3/minimap2
    MitoHiFi 2 https://github.com/marcelauliano/MitoHiFi
    MultiQC 1.14; 1.17 and 1.18 https://github.com/MultiQC/MultiQC
    Nextflow 23.04.1 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
    purge_dups 1.2.3 https://github.com/dfguan/purge_dups
    samtools 1.19.2 https://github.com/samtools/samtools
    sanger-tol/ascc 0.1.0 https://github.com/sanger-tol/ascc
    sanger-tol/blobtoolkit 0.4.0 https://github.com/sanger-tol/blobtoolkit
    sanger-tol/curationpretext 1.4.2 https://github.com/sanger-tol/curationpretext
    Seqtk 1.3 https://github.com/lh3/seqtk
    Singularity 3.9.0 https://github.com/sylabs/singularity
    TreeVal 1.4.0 https://github.com/sanger-tol/treeval
    YaHS 1.1a.2 https://github.com/c-zhou/yahs

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

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