Abstract
We present a genome assembly from an individual female Lasiommata megera (the wall brown; Arthropoda; Insecta; Lepidoptera; Nymphalidae). The genome sequence is 488 megabases in span. The majority of the assembly (99.97%) is scaffolded into 30 chromosomal pseudomolecules with the W and Z sex chromosomes assembled. The complete mitochondrial genome was also assembled and is 15.3 kilobases in length.
Keywords: Lasiommata megera, wall brown, genome sequence, chromosomal, Lepidoptera
Species taxonomy
Eukaryota; Metazoa; Ecdysozoa; Arthropoda; Hexapoda; Insecta; Pterygota; Neoptera; Endopterygota; Lepidoptera; Glossata; Ditrysia; Papilionoidea; Nymphalidae; Satyrinae; Satyrini; Parargina; Lasiommata; Lasiommata megera (Linnaeus, 1767) (NCBI:txid111917).
Background
The wall brown, Lasiommata megera (Linnaeus 1767), is a widely distributed butterfly found across the Palearctic. This species inhabits open sunny places such as grasslands and sand dunes, and is known for basking on bare surfaces such as walls and rocks. Larvae feed on various grasses including false broom ( B. sylvaticum), tor-grass ( Brachypodium pinnatum) and bents ( Agrostis spp.). Forewings possess a single large eyespot, and hindwings contain four smaller eyespots, set against orange and brown markings. This species is generally bivoltine; adults can be found on the wing from May to October.
In the British Isles, this butterfly is widespread but scarce, with a higher density towards the coast. Since the 1970s, the wall brown has experienced a major decline in both abundance and occurrence in the British Isles, with an 87% decrease in abundance in southern Britain due to loss of colonies ( Fox et al., 2015). The Wall has also experienced a significant decline in abundance across Europe based on the European Grassland Butterfly Indicator ( van Swaay et al., 2013). One potential explanation for this decline is that warmer conditions due to climate change, may be triggering a third generation, resulting in a high mortality rate in autumn ( Van Dyck et al., 2015). Other changes in the environment, such as nitrogen deposition, have also been implicated in their decline ( Klop et al., 2015). The Wall has an estimated genome size of 381 Mb based on flow cytometry ( Mackintosh et al., 2019).
Genome sequence report
The genome was sequenced from a single female L. megera from Aberlady Bay, Scotland, UK ( Figure 1). A total of 45-fold coverage in Pacific Biosciences single-molecule HiFi long reads and 77-fold coverage in 10X Genomics read clouds were generated. Primary assembly contigs were scaffolded with chromosome conformation Hi-C data. Manual assembly curation corrected 17 missing/misjoins and removed 1 haplotypic duplication, reducing the assembly size by 0.33% and the scaffold number by 24.56%, and increasing the scaffold N50 by 0.002%.
Figure 1. Fore and hind wings of the Lasiommata megera specimen from which the genome was sequenced.
Dorsal (left) and ventral (right) surface view of wings from specimen SC_LM_1354 (ilLasMege1) from Aberlady Bay, Scotland, UK, used to generate Pacific Biosciences and 10X genomics data.
The final assembly has a total length of 488 Mb in 43 sequence scaffolds with a scaffold N50 of 17.8 Mb ( Table 1). The majority, 99.97%, of the assembly sequence was assigned to 30 chromosomal-level scaffolds, representing 28 autosomes (numbered by sequence length) and the W and Z sex chromosomes ( Figure 2– Figure 5; Table 2). The assembly has a BUSCO v5.3.2 ( Manni et al., 2021) completeness of 98.6% (single 98.2%, duplicated 0.4%) using the lepidoptera_odb10 reference set (n=5,286). While not fully phased, the assembly deposited is of one haplotype. Contigs corresponding to the second haplotype have also been deposited.
Figure 2. Genome assembly of Lasiommata megera, ilLasMege1.1: metrics.
The BlobToolKit Snailplot 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 488,457,974 bp assembly. The distribution of chromosome lengths is shown in dark grey with the plot radius scaled to the longest chromosome present in the assembly (27,639,616 bp, shown in red). Orange and pale-orange arcs show the N50 and N90 chromosome lengths (17,836,388 and 11,819,885 bp), respectively. The pale grey spiral shows the cumulative chromosome 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 lepidoptera_odb10 set is shown in the top right. An interactive version of this figure is available at https://blobtoolkit.genomehubs.org/view/ilLasMege1.1/dataset/CAKMRP01/snail.
Figure 5. Genome assembly of Lasiommata megera, ilLasMege1.1: Hi-C contact map.

Hi-C contact map of the ilLasMege1.1 assembly, visualised in HiGlass. Chromosomes are arranged in size order from left to right and top to bottom. The interactive Hi-C map can be viewed at https://genome-note-higlass.tol.sanger.ac.uk/l/?d=KdiGAPlYRgGFQxeB4jbmoA.
Table 1. Genome data for Lasiommata megera, ilLasMege1.1.
| Project accession data | |
|---|---|
| Assembly identifier | ilLasMege1.1 |
| Species | Lasiommata megera |
| Specimen | ilLasMege1 (genome assembly);
ilLasMege3 (Hi-C) |
| NCBI taxonomy ID | 111917 |
| BioProject | PRJEB48330 |
| BioSample ID | SAMEA7523153 |
| Isolate information | Female, whole organism
(ilLasMege1); male, whole organism tissue (ilLasMege3) |
| Raw data accessions | |
| PacificBiosciences SEQUEL II | ERR7224284 |
| 10X Genomics Illumina | ERR7220443-ERR7220446 |
| Hi-C Illumina | ERR7220447 |
| Genome assembly | |
| Assembly accession | GCA_928268935.1 |
|
Accession of alternate
haplotype |
GCA_928267235.1 |
| Span (Mb) | 488 |
| Number of contigs | 59 |
| Contig N50 length (Mb) | 17.8 |
| Number of scaffolds | 43 |
| Scaffold N50 length (Mb) | 17.8 |
| Longest scaffold (Mb) | 20.7 |
| BUSCO * genome score | C:98.6%[S:98.2%,D:0.4%],
F:0.3%,M:1.0%,n:5,286 |
*BUSCO scores based on the lepidoptera_odb10 BUSCO set using v5.3.2. 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/ilLasMege1.1/dataset/CAKMRP01/busco.
Figure 3. Genome assembly of Lasiommata megera, ilLasMege1.1: GC coverage.
BlobToolKit GC-coverage plot. Scaffolds are coloured by phylum. Circles are sized in proportion to scaffold length. Histograms show the distribution of scaffold length sum along each axis. An interactive version of this figure is available at https://blobtoolkit.genomehubs.org/view/ilLasMege1.1/dataset/CAKMRP01/blob.
Figure 4. Genome assembly of Lasiommata megera, ilLasMege1.1: cumulative sequence.
BlobToolKit cumulative sequence plot. The grey line shows cumulative length for all scaffolds. Coloured lines show cumulative lengths of scaffolds assigned to each phylum using the buscogenes taxrule. An interactive version of this figure is available at https://blobtoolkit.genomehubs.org/view/ilLasMege1.1/dataset/CAKMRP01/cumulative.
Table 2. Chromosomal pseudomolecules in the genome assembly of Lasiommata megera, ilLasMege1.1.
| INSDC accession | Chromosome | Size (Mb) | GC% |
|---|---|---|---|
| OV743308.1 | 1 | 20.7 | 36.6 |
| OV743309.1 | 2 | 20.53 | 36.9 |
| OV743310.1 | 3 | 19.87 | 36.6 |
| OV743311.1 | 4 | 19.7 | 36.8 |
| OV743312.1 | 5 | 19.55 | 36.9 |
| OV743313.1 | 6 | 19.5 | 36.6 |
| OV743314.1 | 7 | 19.4 | 36.8 |
| OV743315.1 | 8 | 18.45 | 36.7 |
| OV743316.1 | 9 | 18.3 | 36.8 |
| OV743317.1 | 10 | 18 | 36.9 |
| OV743318.1 | 11 | 17.9 | 36.5 |
| OV743319.1 | 12 | 17.84 | 36.9 |
| OV743320.1 | 13 | 17.82 | 36.9 |
| OV743321.1 | 14 | 17.19 | 37.1 |
| OV743322.1 | 15 | 17.08 | 37.1 |
| OV743323.1 | 16 | 16.99 | 37 |
| OV743324.1 | 17 | 16.92 | 37.1 |
| OV743325.1 | 18 | 16.47 | 37.2 |
| OV743326.1 | 19 | 15.99 | 37.2 |
| OV743327.1 | 20 | 15.84 | 37.4 |
| OV743328.1 | 21 | 14.4 | 37.4 |
| OV743329.1 | 22 | 13.76 | 37.7 |
| OV743330.1 | 23 | 12.12 | 37.9 |
| OV743331.1 | 24 | 11.82 | 37.7 |
| OV743332.1 | 25 | 10.64 | 38.2 |
| OV743333.1 | 26 | 10.07 | 38.9 |
| OV743334.1 | 27 | 9.44 | 37.9 |
| OV743335.1 | 28 | 7.99 | 37.8 |
| OV743336.1 | W | 2.9 | 40.9 |
| OV743307.1 | Z | 27.64 | 36.8 |
| OV743337.1 | MT | 0.02 | 18.9 |
| - | Unplaced | 3.63 | 36.9 |
Methods
Sample acquisition and nucleic acid extraction
A single female L. megera specimen (ilLasMege1, genome assembly) was collected using a hand net from Aberlady Bay, Scotland, UK (latitude 56.019964, longitude -2.85808) by Konrad Lohse (University of Edinburgh). The specimen was identified by Konrad Lohse and snap-frozen in liquid nitrogen.
A single male L. megera specimen (ilLasMege3, Hi-C) was collected from the A1, East Linton, Scotland, UK (latitude 55.977161, longitude -2.667545) by Konrad Lohse (University of Edinburgh). The specimen was identified by Konrad Lohse and snap-frozen in liquid nitrogen.
DNA was extracted at the Scientific Operations Core, Wellcome Sanger Institute. The ilLasMege1 sample was weighed and dissected on dry ice. Whole organism tissue was disrupted by manual grinding with a disposable pestle. Fragment size analysis of 0.01–0.5 ng of DNA was then performed using an Agilent FemtoPulse. High molecular weight (HMW) DNA was extracted using the Qiagen MagAttract HMW DNA extraction kit. Low molecular weight DNA was removed from a 200-ng aliquot of extracted DNA using 0.8X AMpure XP purification kit prior to 10X Chromium sequencing; a minimum of 50 ng DNA was submitted for 10X sequencing. HMW DNA was sheared into an average fragment size between 12–20 kb in a Megaruptor 3 system with speed setting 30. Sheared DNA was purified by solid-phase reversible immobilisation using AMPure PB beads with a 1.8X ratio of beads to sample to remove the shorter fragments and concentrate the DNA sample. The concentration of the sheared and purified DNA was assessed using a Nanodrop spectrophotometer and Qubit Fluorometer and Qubit dsDNA High Sensitivity Assay kit. Fragment size distribution was evaluated by running the sample on the FemtoPulse system.
Sequencing
Pacific Biosciences HiFi circular consensus and 10X Genomics Chromium read cloud sequencing libraries were constructed according to the manufacturers’ instructions. Sequencing was performed by the Scientific Operations core at the Wellcome Sanger Institute on Pacific Biosciences SEQUEL II (HiFi) and Illumina HiSeq (10X) instruments. Hi-C data were generated in the Tree of Life laboratory from whole organism tissue of ilLasMege3 using the Arima v2 kit and sequenced on a NovaSeq 6000 instrument.
Genome assembly
Assembly was carried out with Hifiasm ( Cheng et al., 2021); haplotypic duplication was identified and removed with purge_dups ( Guan et al., 2020). One round of polishing was performed by aligning 10X Genomics read data to the assembly with longranger align, calling variants with freebayes ( Garrison & Marth, 2012). The assembly was then scaffolded with Hi-C data ( Rao et al., 2014) using SALSA2 ( Ghurye et al., 2019). The assembly was checked for contamination and corrected using the gEVAL system ( Chow et al., 2016) as described previously ( Howe et al., 2021). Manual curation ( Howe et al., 2021) was performed using gEVAL, HiGlass ( Kerpedjiev et al., 2018) and Pretext. The mitochondrial genome was assembled using MitoHiFi ( Uliano-Silva et al., 2021), which performs annotation using MitoFinder ( Allio et al., 2020). The genome was analysed and BUSCO scores generated within the BlobToolKit environment ( Challis et al., 2020). Table 3 contains a list of all software tool versions used, where appropriate.
Table 3. Software tools used.
| Software
tool |
Version | Source |
|---|---|---|
| Hifiasm | 0.15.3 | Cheng et al., 2021 |
| purge_dups | 1.2.3 | Guan et al., 2020 |
| SALSA2 | 2.2 | Ghurye et al., 2019 |
| longranger
align |
2.2.2 |
https://support.10xgenomics.com/
genome-exome/software/pipelines/ latest/advanced/other-pipelines |
| freebayes | 1.3.1-17-
gaa2ace8 |
Garrison & Marth, 2012 |
| MitoHiFi | 2.0 | Uliano-Silva et al., 2021 |
| HiGlass | 1.11.6 | Kerpedjiev et al., 2018 |
| PretextView | 0.2.x |
https://github.com/wtsi-hpag/
PretextView |
| BlobToolKit | 3.2.7 | Challis et al., 2020 |
Data availability
European Nucleotide Archive: Lasiommata megera (wall brown). Accession number PRJEB48330; https://identifiers.org/ena.embl/PRJEB48330.
The genome sequence is released openly for reuse. The L. megera 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. The genome will be annotated and presented through the Ensembl pipeline at the European Bioinformatics Institute. Raw data and assembly accession identifiers are reported in Table 1.
Funding Statement
This work was supported by Wellcome through core funding to the Wellcome Sanger Institute (206194) and the Darwin Tree of Life Discretionary Award (218328). KL is supported by an ERC grant (ModelGenom Land 757648) and a NERC fellowship (NE/L011522/1).
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
[version 1; peer review: 4 approved]
Author information
Members of the Wellcome Sanger Institute Tree of Life programme are listed here: https://doi.org/10.5281/zenodo.6866293.
Members of Wellcome Sanger Institute Scientific Operations: DNA Pipelines collective are listed here: https://doi.org/10.5281/zenodo.5746904.
Members of the Tree of Life Core Informatics collective are listed here: https://doi.org/10.5281/zenodo.6125046.
Members of the Darwin Tree of Life Consortium are listed here: https://doi.org/10.5281/zenodo.5638618.
References
- 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]
- Challis R, Richards E, Rajan J, et al. : BlobToolKit - Interactive Quality Assessment of Genome Assemblies. G3 (Bethesda). 2020;10(4):1361–74. 10.1534/g3.119.400908 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cheng H, Concepcion GT, Feng X, et al. : Haplotype-Resolved de Novo Assembly Using Phased Assembly Graphs with Hifiasm. Nat Methods. 2021;18(2):170–75. 10.1038/s41592-020-01056-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chow W, Brugger K, Caccamo M, et al. : gEVAL — a Web-Based Browser for Evaluating Genome Assemblies. Bioinformatics. 2016;32(16):2508–10. 10.1093/bioinformatics/btw159 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fox R, Brereton TM, Asher J, et al. : The State of the UK’s Butterflies 2015. 2015. Reference Source [Google Scholar]
- Garrison E, Marth G: Haplotype-Based Variant Detection from Short-Read Sequencing. 2012; arXiv: 1207.3907. 10.48550/arXiv.1207.3907 [DOI] [Google Scholar]
- Ghurye J, Rhie A, Walenz BP, et al. : Integrating Hi-C Links with Assembly Graphs for Chromosome-Scale Assembly. PLoS Comput Biol. 2019;15(8):e1007273. 10.1371/journal.pcbi.1007273 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guan D, McCarthy SA, Wood J, et al. : Identifying and Removing Haplotypic Duplication in Primary Genome Assemblies. Bioinformatics. 2020;36(9):2896–98. 10.1093/bioinformatics/btaa025 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 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]
- 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]
- Klop E, Omon B, WallisDeVries MF: Impact of Nitrogen Deposition on Larval Habitats: The Case of the Wall Brown Butterfly Lasiommata Megera. J Insect Conserv. 2015;19(2):393–402. 10.1007/s10841-014-9748-z [DOI] [Google Scholar]
- Mackintosh A, Laetsch DR, Hayward A, et al. : The Determinants of Genetic Diversity in Butterflies. Nat Commun. 2019;10(1):3466. 10.1038/s41467-019-11308-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 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):4647–54. 10.1093/molbev/msab199 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rao SS, 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):1665–80. 10.1016/j.cell.2014.11.021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Uliano-Silva M, Nunes JGF, Krasheninnikova K, et al. : marcelauliano/MitoHiFi: mitohifi_v2.0. 2021. 10.5281/zenodo.5205678 [DOI] [Google Scholar]
- Van Dyck H, Bonte D, Puls R, et al. : The Lost Generation Hypothesis: Could Climate Change Drive Ectotherms into a Developmental Trap? Oikos. 2015;124(1):54–61. 10.1111/oik.02066 [DOI] [Google Scholar]
- van Swaay C, van Strien A, Harpke A, et al. : The European Grassland Butterfly Indicator: 1990--2011. 2013. Reference Source [Google Scholar]




