Skip to main content
Wellcome Open Research logoLink to Wellcome Open Research
. 2020 Feb 13;5:27. [Version 1] doi: 10.12688/wellcomeopenres.15721.1

The genome sequence of the eastern grey squirrel, Sciurus carolinensis Gmelin, 1788

Dan Mead 1, Kathryn Fingland 2, Rachel Cripps 3, Roberto Portela Miguez 4, Michelle Smith 1, Craig Corton 1, Karen Oliver 1, Jason Skelton 1, Emma Betteridge 1, Jale Doulcan 1, Michael A Quail 1, Shane A McCarthy 1, Kerstin Howe 1, Ying Sims 1, James Torrance 1, Alan Tracey 1, Richard Challis 1, Richard Durbin 1, Mark Blaxter 1,a
PMCID: PMC7653645  PMID: 33215047

Abstract

We present a genome assembly from an individual male Sciurus carolinensis (the eastern grey squirrel; Vertebrata; Mammalia; Eutheria; Rodentia; Sciuridae). The genome sequence is 2.82 gigabases in span. The majority of the assembly (92.3%) is scaffolded into 21 chromosomal-level scaffolds, with both X and Y sex chromosomes assembled.

Keywords: Sciurus carolinensis, grey squirrel, genome sequence, chromosomal

Species taxonomy

Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia; Eutheria; Euarchontoglires; Glires; Rodentia; Sciuromorpha; Sciuridae; Sciurinae; Sciurini; Sciurus; Sciurus carolinensis Gmelin, 1788 (NCBI txid 30640).

Background

The eastern grey squirrel, Sciurus carolinensis, is native to eastern North America, where it plays important roles in forest regeneration through its habit of caching food nuts and seeds ( Corbet & Hill, 1991) 1. In North America, S. carolinensis has been introduced outside its native range such that it is now found from the Canadian Pacific northwest to Florida. S. carolinensis was introduced to Britain (in 1876), Ireland (in 1911), Italy (in 1948), South Africa (before 1900), Australia (in 1880s, extirpated in 1973) and Pitcairn island (in 1987) (see https://www.cabi.org/isc/datasheet/49075). S. carolinensis, which thrives in urban parklands and gardens, is classed as invasive in Europe and on Pitcairn island. In Britain and Ireland the expansion of S. carolinensis populations has driven decline in populations of the native red squirrel, Sciurus vulgaris, which we have also assembled ( Mead et al., 2020). The negative impact of S. carolinensis is through interspecific competition, leading to competitive exclusion of S. vulgaris, and by their carriage of squirrelpox virus, to which they are resistant but S. vulgaris are not ( Chantrey et al., 2014) ( Darby et al., 2014). The S. carolinensis genome will aid analyses of resistance and susceptibility to squirrelpox, as well as to the genomics of invasiveness.

Genome sequence report

The genome was sequenced from DNA extracted from a naturally deceased male S. carolinensis collected as part of a squirrel monitoring project run by the Wildlife Trust for Lancashire, Manchester and North Merseyside. A total of 74-fold coverage in Pacific Biosciences single-molecule long reads (N50 28 kb) and 40-fold coverage in 10X Genomics read clouds (from molecules with an estimated N50 of 19 kb) were generated. Primary assembly contigs were scaffolded with chromosome conformation HiC data (42-fold coverage). A contamination check identified a small number of low-coverage contigs that were likely to have derived from an apicomplexan parasite infecting the squirrel ( Léveillé et al., 2020); these were removed. Subsequent manual assembly curation corrected 272 missing/misjoins and removed three haplotypic duplications, reducing the scaffold number by 19% and increasing the scaffold N50 by 242% The final assembly has a total length of 2.82 Gb in 752 sequence scaffolds with a scaffold N50 of 148.2 Mb ( Table 1). The majority, 92.3%, of the assembly sequence was assigned to 21 chromosomal-level scaffolds representing 19 autosomes (numbered by sequence length), and the X and Y sex chromosomes ( Figure 1Figure 5; Table 2) plus 13 unlocalised scaffolds (assigned to chromosomes but with ambiguous placement). The assembly has a BUSCO ( Simão et al., 2015) completeness of 93.7% using the mammalia_odb9 reference set. The primary assembly is a large-scale mosaic of both haplotypes (i.e. is not fully phased) and we have therefore also deposited the contigs corresponding to the alternate haplotype. The S. carolinensis mSciCar1 genome sequence is largely collinear with that of S. vulgaris mSciVul1 ( Figure 4).

Table 1. Genome data for Sciurus carolinensis mSciCar1.

Project accession data
Assembly identifier mSciCar1
Species Sciurus carolinensis
Specimen NHMUK ZD 2019.214
NCBI taxonomy ID 30640
BioProject PRJEB35386
Biosample ID SAMEA994726
Isolate information Wild isolate; male
Raw data accessions
PacificBiosciences
SEQUEL I
ERR3313242-ERR3313245,
ERR3313247-ERR3313255,
ERR3313329, ERR3313331,
ERR3313332, ERR3313342-
ERR3313348
10X Genomics Illumina ERR3316153-ERR3316156,
ERR3316173-ERR3316176
Hi-C Illumina ERR3312499-ERR3312500,
ERR3850937
Genome assembly
Assembly accession GCA_902686445.1
Accession of alternate
haplotype
GCA_902685475.1
Span (Mb) 2,815,397,268
Number of contigs 2576
Contig N50 length (Mb) 13.98
Number of scaffolds 752
Scaffold N50 length (Mb) 148.23
Longest scaffold (Mb) 208.99
BUSCO * genome score C:93.7%[S:92.3%,D:1.4%],F:2.8%,M
:3.5%,n:4104

* BUSCO scores based on the mammalia_odb9 BUSCO set using v3.0.2. 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/mSciCar1_1/dataset/mSciCar1_1/busco.

Figure 1. Genome assembly of Sciurus carolinensis mSciCar1: Metrics.

Figure 1.

BlobToolKit Snailplot showing N50 metrics for S. carolinensis assembly mSciCar1 and BUSCO scores for the Euarchontoglires set of orthologues. The interactive version is available here.

Figure 2. Genome assembly of Sciurus carolinensis mSciCar1: GC-coverage plot.

Figure 2.

BlobToolKit GC-coverage plot of S. carolinensis mSciCar1 from long read data submission ERR3316154. The interactive version is available here.

Figure 3. Genome assembly of Sciurus carolinensis mSciCar1: Cumulative sequence plot.

Figure 3.

The blue line in the main plot shows the cumulative sequence plot for mSciCar. The sashed line shows the cumulative sequence plot of S. vulgaris mSciVul1 for comparison. The interactive version is available here.

Figure 4. Genome assembly of Sciurus carolinensis mSciCar1: Whole genome alignment with Sciurus vulgaris mSciVul1.

Figure 4.

A nucmer ( Kurtz et al., 2004) pairwise alignment of mSciCar1 (x-axis) with mSciVul1 (Y axis).

Figure 5. Genome assembly of Sciurus carolinensis mSciCar1: Hi-C contact map.

Figure 5.

Hi-C scaffolding of the S. carolinensis mSciCar1 assembly visualised in HiGlass ( Kerpedjiev et al., 2018).

Table 2. Chromosomal pseudomolecules in the genome assembly of Sciurus carolinensis mSciCar1.

ENA accession Chromosome Size (Mb) GC%
LR738590.1 1 208.99 40.3
LR738591.1 2 199.83 40.8
LR738592.1 3 183.55 40.3
LR738593.1 4 177.11 39.5
LR738594.1 5 175.91 39.1
LR738595.1 6 162.27 38.7
LR738596.1 7 154.99 39.1
LR738597.1 8 148.23 40.5
LR738598.1 9 141.42 38.8
LR738599.1 10 140.98 38.1
LR738600.1 11 135.23 40.1
LR738602.1 12 118.65 40.1
LR738603.1 13 94.68 41.1
LR738604.1 14 88.65 40.2
LR738605.1 15 83.14 40.5
LR738606.1 16 68.57 44.7
LR738607.1 17 66.05 42.7
LR738608.1 18 41.56 47.8
LR738609.1 19 30.99 44
LR738601.1 X 131.72 37.8
LR738610.1 Y 4.81 38.3
- Unplaced 258.08 40

Methods

The eastern grey squirrel specimen was collected by the Wildlife Trust for Lancashire, Manchester and North Merseyside as part of an ongoing programme of recovery of dead squirrels. A full tissue dissection and preservation in 80% ethanol was undertaken and the specimen accessioned by the Natural History Museum, London.

DNA was extracted using an agarose plug extraction from spleen tissue following the Bionano Prep Animal Tissue DNA Isolation Soft Tissue Protocol 2. Pacific Biosciences CLR long read and 10X Genomics 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 I (single molecule long read) and Illumina HiSeq X (10X Genomics Chromium). HiC data were generated using the Dovetail v1.0 kit and sequenced on HiSeq X.

See Table 3 for software versions and sources. Assembly was carried out using Falcon-unzip ( Chin et al., 2016), haplotypic duplication was identified and removed with purge_dups ( Guan et al., 2020) and a first round of scaffolding carried out with 10X Genomics read clouds using scaff10x. Scaffolding with Hi-C data was carried out using SALSA2. The Hi-C scaffolded assembly was polished with arrow using the PacBio data, then polished with the 10X Genomics Illumina data by aligning to the assembly with longranger align, calling variants with freebayes ( Garrison & Marth, 2012) and applying homozygous non-reference edits using bcftools consensus. Two rounds of the Illumina polishing were applied. The assembly was checked for contamination and corrected using the gEVAL system ( Chow et al., 2016). Since Hi-C data were sparse, curation was aided by synteny with the assembly for Sciurus vulgaris simultaneously being curated by the Wellcome Sanger Institute. The genome was analysed within the BlobToolKit environment ( Challis et al., 2019).

Table 3. Software tools used.

Software
tool
Version Source
Falcon-unzip falcon-kit 1.2.2 ( Chin et al., 2016)
purge_dups 1.0.0 ( Guan et al., 2020)
SALSA2 2.2 ( Ghurye et al., 2018)
scaff10x 4.2 https://github.com/wtsi-
hpag/Scaff10X
arrow GenomicConsensus
2.3.3
https://github.com/
PacificBiosciences/
GenomicConsensus
longranger align 2.2.2 https://
support.10xgenomics.
com/genome-exome/
software/pipelines/latest/
advanced/other-pipelines
freebayes v1.1.0-3-g961e5f3 ( Garrison & Marth, 2012)
bcftools
consensus
1.9 http://samtools.github.
io/bcftools/bcftools.html
gEVAL 2016 ( Chow et al., 2016)
BlobToolKit 1 ( Challis et al., 2019)
nucmer from
MUMmer 3
3.0 ( Kurtz et al., 2004)

Data availability

Underlying data

European Nucleotide Archive: Sciurus carolinensis (grey squirrel) genome assembly, mSciCar1. BioProject accession number PRJEB35386; https://identifiers.org/ena.embl:PRJEB35386.

The genome sequence is released openly for reuse. The S. carolinensis genome sequencing initiative is part of the Wellcome Sanger Institute’s “25 genomes for 25 years” project 3. It is also part of the Vertebrate Genome Project (VGP) 4 and the Darwin Tree of Life (DToL) project 5. The specimen has been preserved in ethanol and deposited with the Natural History Museum, London under registration number NHMUK ZD 2019.214, where it will remain accessible to the research community for posterity. All raw data and the assembly have been deposited in the ENA. 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.

Acknowledgements

We thank Mike Stratton and Julia Wilson for their continuing support for the 25 genomes for 25 years project. The Wildlife Trust for Lancashire, Manchester and North Merseyside thank many members of the public for support.

Funding Statement

This work was supported by the Wellcome Trust through core funding to the Wellcome Sanger Institute (WT206194). SMcC and RD were supported by Wellcome grant WT207492. MB was supported through Wellcome grant WT218328.

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]

Footnotes

References

  1. Challis R, Richards E, Rajan J, et al. : BlobToolKit – Interactive Quality Assessment of Genome Assemblies. bioRxiv. 2019. 10.1101/844852 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Chantrey J, Dale TD, Read JM, et al. : European red squirrel population dynamics driven by squirrelpox at a gray squirrel invasion interface. Ecol Evol. 2014;4(19):3788–99. 10.1002/ece3.1216 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Chin CS, Peluso P, Sedlazeck FJ, et al. : Phased diploid genome assembly with single-molecule real-time sequencing. Nat Methods. 2016;13(12):1050–54. 10.1038/nmeth.4035 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. 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]
  5. Corbet GB, Hill JE: A World List of Mammalian Species (3rd Edition).Natural History Museum Publications/Oxford University Press, 1991, 243 Pp., HB £30.00. Oryx.Cambridge University Press,1991;25(3):174 10.1017/S0030605300034268 [DOI] [Google Scholar]
  6. Darby AC, McInnes CJ, Kjær KH, et al. : Novel host-related virulence factors are encoded by squirrelpox virus, the main causative agent of epidemic disease in red squirrels in the UK. PLoS One. 2014;9(7):e96439. 10.1371/journal.pone.0096439 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Garrison E, Marth G: Haplotype-Based Variant Detection from Short-Read Sequencing. arXiv [q-bio.GN].arXiv,2012. Reference Source [Google Scholar]
  8. Ghurye J, Rhie A, Walenz BP, et al. : Integrating Hi-C Links with Assembly Graphs for Chromosome-Scale Assembly. bioRxiv. 2018. 10.1101/261149 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. 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]
  10. Guan D, McCarthy SA, Wood J, et al. : Identifying and removing haplotypic duplication in primary genome assemblies. Bioinformatics. 2020; pii: btaa025. 10.1093/bioinformatics/btaa025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. 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]
  12. Kurtz S, Phillippy A, Delcher AL, et al. : Versatile and open software for comparing large genomes. Genome Biol. 2004;5(2):R12. 10.1186/gb-2004-5-2-r12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Léveillé, AN, El Skhawy N, Barta JR: Multilocus sequencing of Hepatozoon cf. griseisciuri infections in Ontario eastern gray squirrels ( Sciurus carolinensis) uncovers two genotypically distinct sympatric parasite species. Parasitol Res. 2020;119(2):713–724. 10.1007/s00436-019-06583-5 [DOI] [PubMed] [Google Scholar]
  14. Mead D, Fingland K, Cripps R, et al. : The genome sequence of the Eurasian red squirrel, Sciurus vulgaris Linnaeus 1758 [version 1; peer review: awaiting peer review]. Wellcome Open Res. 2020;5:18 10.12688/wellcomeopenres.15679.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Simão FA, Waterhouse RM, Ioannidis P, et al. : BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs. Bioinformatics. 2015;31(19):3210–12. 10.1093/bioinformatics/btv351 [DOI] [PubMed] [Google Scholar]
Wellcome Open Res. 2020 Nov 9. doi: 10.21956/wellcomeopenres.17234.r40853

Reviewer response for version 1

Takafumi Katsumura 1

The authors constructed a whole-genome sequence for the eastern gray squirrel using spleen-derived DNA from naturally dead squirrels collected in a Wildlife Trust project. This genome sequence is based on long reads (74-fold coverage) from the PacBio sequencer, short reads from 10X Genomics + Illumina sequencer (40-fold coverage), and scaffolding by Hi-C data (42-fold coverage). From the various genome statistics calculated and BUSCO's score, I think this whole-genome sequence is useful for comparative genome studies.

My comments are as follows:

  1. I would suggest that the authors describe the age of the squirrel used as samples (if the authors know) and the collecting date. This information may be useful for future secondary use of the Hi-C data acquired in this paper. Also, I would suggest that the authors describe how the amount was the spleen used for DNA extraction.

  2. I would suggest that the authors add the number of libraries used to generate the reads by the PacBio and Illumina in the text, respectively. The readers could know their numbers by looking and counting them in Table 1, but I think it will help the reader understand this work's data quality if specified in the text.

  3. For the contact map in Figure 5, the authors should describe the X and Y axes and label them. Also, I think it would be easier for the reader to understand the figure if there is a color key.

  4. To drive the reproducibility of the data by readers, it would be important to describe the settings of the software tools used to construct the genome sequence. I would suggest that the authors describe the settings of all software tools in the text.

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

Partly

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

Yes

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

Yes

Are the protocols appropriate and is the work technically sound?

Yes

Reviewer Expertise:

Evolutionary biology.

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

Wellcome Open Res. 2020 Feb 17. doi: 10.21956/wellcomeopenres.17234.r37915

Reviewer response for version 1

Erik Garrison 1

The authors present the assembly of a male eastern grey squirrel, based on PacBio single molecule sequencing and 10X genomics linked read sequencing. The approach is technically very sound, and mirrors that used in the Vertebrate Genomes Project. The assembly's completeness is impressive, as the authors show by comparison to an existing assembly from the red squirrel, evaluation of the assembly against BUSCO, and several plots from BlobToolKit. I am confident that this assembly will be usable by researchers working on this species.

I would suggest that the authors improve the rendering of several of the figures. Those produced by the BlobToolKit have very small font relative to their rasterized pixel density. I would either render them as vector graphics or adjust the rendering (if possible) to improve the font size. The HiGlass plot clearly demonstrates the expected pattern of connectivity across the chromosome-scale scaffolds, but overplotting of the delimiting line (grey bars) makes the region of the plot (to the bottom and right) referring to the smaller scaffolds completely illegible. If this can be fixed, it might make the plot a little more interesting.

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:

(pan)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

    Underlying data

    European Nucleotide Archive: Sciurus carolinensis (grey squirrel) genome assembly, mSciCar1. BioProject accession number PRJEB35386; https://identifiers.org/ena.embl:PRJEB35386.

    The genome sequence is released openly for reuse. The S. carolinensis genome sequencing initiative is part of the Wellcome Sanger Institute’s “25 genomes for 25 years” project 3. It is also part of the Vertebrate Genome Project (VGP) 4 and the Darwin Tree of Life (DToL) project 5. The specimen has been preserved in ethanol and deposited with the Natural History Museum, London under registration number NHMUK ZD 2019.214, where it will remain accessible to the research community for posterity. All raw data and the assembly have been deposited in the ENA. 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.


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

    RESOURCES