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  • Data Note
  • Open Access
  • Open Peer Review

Genomic resources and draft assemblies of the human and porcine varieties of scabies mites, Sarcoptes scabiei var. hominis and var. suis

  • 1, 2,
  • 3,
  • 4,
  • 3,
  • 5 and
  • 1, 2, 6, 7Email author
Contributed equally

  • Received: 18 January 2016
  • Accepted: 11 May 2016
  • Published:
Open Peer Review reports



The scabies mite, Sarcoptes scabiei, is a parasitic arachnid and cause of the infectious skin disease scabies in humans and mange in other animal species. Scabies infections are a major health problem, particularly in remote Indigenous communities in Australia, where secondary group A streptococcal and Staphylococcus aureus infections of scabies sores are thought to drive the high rate of rheumatic heart disease and chronic kidney disease.


We sequenced the genome of two samples of Sarcoptes scabiei var. hominis obtained from unrelated patients with crusted scabies located in different parts of northern Australia using the Illumina HiSeq. We also sequenced samples of Sarcoptes scabiei var. suis from a pig model. Because of the small size of the scabies mite, these data are derived from pools of thousands of mites and are metagenomic, including host and microbiome DNA. We performed cleaning and de novo assembly and present Sarcoptes scabiei var. hominis and var. suis draft reference genomes. We have constructed a preliminary annotation of this reference comprising 13,226 putative coding sequences based on sequence similarity to known proteins.


We have developed extensive genomic resources for the scabies mite, including reference genomes and a preliminary annotation.


  • Scabies mite
  • Sarcoptes scabiei var. hominis
  • Sarcoptes scabiei var. suis
  • Indigenous Australian health

Data description

The scabies mite, Sarcoptes scabiei, is an ectoparasitic acari, which causes rashes and extreme itching - known as scabies in humans. Different varieties of the scabies mite also cause mange in other species of mammals including domestic animals, livestock and wildlife. Scabies is known to cause significant morbidity in some populations, in particular Indigenous communities in Australia. We present extensive genomic sequencing data from human (Sarcoptes scabiei var. hominis) and pig (Sarcoptes scabiei var. suis) varieties of scabies mites, including Illumina whole genome sequencing data from two independent samples of adult scabies mites collected at different times from human patients from different regions of northern Australia, and from four samples of scabies mites from a pig model collected at different times and washed using different protocols to reduce bacterial contamination from host skin and mite gut. We created draft genome assemblies for var. hominis and var. suis from these resources.

Samples and sequencing

Scabies mites (var. hominis) were individually picked from skin scrapings collected 14 months apart from two unrelated patients from two different regions of northern Australia with severe crusted scabies (Patients A and B). Over 1000 mites were collected in each sample. Two pig mange mite (var. suis) samples were collected from an inbred population of mites from a pig model [1]. The first sample consisted of >1000 mites from adult, nymph, larva and egg life stages (Pig Unwashed). The second sample, also containing all life stages, was split into three subsamples that were washed - to reduce the amount of bacteria present on the surface of the mites owing to the wound micro-environment - using three different protocols (Pig Washed 1, 2 and 3): (i) 15 min wash at room temperature in 4 % paraformaldehyde in water [2]; (ii) 1 h incubation at 37 °C in 150 mM NaCl, 10 mM EDTA pH8.0, 0.6 % SDS and 0.125 μg/μl lysozyme [3]; (iii) 1 h incubation at 37 °C in 1 % bleach (sodium hypochlorite) in water. In all protocols, mites were subsequently rinsed twice in water. Between wash steps, mites were centrifuged at 10,000 rpm for 2 min.

Whole mites were crushed and DNA was extracted from each sample using a QIAGEN Blood and Cell Culture DNA Kit and a modified procedure adapted from the manufacturer’s protocol. Washed mites were submerged in 1 ml of ice-cold lysis buffer (20 mM EDTA, 100 mM NaCl, 1 % TritonX-100, 500 mM guanidine-HCl, 10 mM Tris pH7.9) and homogenized with stainless steel beads of 2.8 mm diameter at 6800 rpm, three cycles, 30 s per cycle, and 30 s between cycles. The suspension of lysed mites was supplemented with DNase-free RNase A to 0.2 mg/ml and with proteinase K to 0.8 mg/ml and incubated at 50 °C for 1.5 h. After centrifugation at 4000 × g for 10 min to pellet insoluble debris, the genomic DNA was isolated on the QIAGEN genomic tip as per the manufacturer’s protocol. Six DNA libraries were constructed and 100-base pair (bp) paired-end reads were generated using an Illumina HiSeq 2500 (see Table 1 for details).
Table 1

Details of sequencing libraries

Sample type


Washing protocol

Number of read pairs

Clinical isolate

Patient A



Clinical isolate

Patient B



Lab model

Pig Unwashed



Lab model

Pig Washed 1



Lab model

Pig Washed 2



Lab model

Pig Washed 3



Genome assembly

Read qualities were assessed using FASTQC [4], and reads were adapter- and quality-trimmed (Q ≥ 20) using Trim Galore! (v3.0.1) [5].

Preliminary de novo assemblies of the adapter- and quality-trimmed reads of the Patient A, Patient B and Pig Unwashed samples were performed by using Velvet (v1.2.08) [6]. For the Patient B library, k-mer values of 61, 63, 65, 67, 69, 71, 73, 75, 79, 85, 89 and 95 were used. For the Patient A and three Pig Unwashed libraries, k-mer values of 69, 75, 77, 79, 81, 83, 85, 89 and 95 were used. The best assemblies (assessed using the scaffold N50) were obtained with a k-mer of k = 77 (Patient A, N50 = 27.4 kb), k = 63 (Patient B, N50 = 36.0 kb) and k = 81 (Pig Unwashed, N50 = 7.5 kb) (see Additional file 1 for details). Platanus (version 1.2.1) [7] was also used to perform a preliminary assembly of all six libraries, producing assemblies with better scaffold N50 values (GigaScience repository [8] for var. suis).

Since the scabies mite is a tiny, obligate parasite, it is difficult to avoid contamination from the host and from host skin and mite gut microbiomes. In addition, it was necessary to sequence thousands of intact mites, which incorporated the mite gut. Reads from the host genome were removed in silico from each sample using Bowtie 2 (version 2.2.5) [9]. Human hg19 and pig susScr3 reference genomes from the University of California, Santa Cruz, were used to build Bowtie 2 reference indices for alignment. For each sample, adapter- and quality-trimmed reads were aligned to the host reference genome using Bowtie 2 (using mode ‘--end-to-end’ and parameter ‘--very-fast’). The proportion of reads aligning to host reference genomes varied from 11 to 56 % (Table 2). Non-host reads were extracted from the alignment SAM files using the SAMtools [10] ‘view’ command with flag ‘-f 12’ (read unmapped, mate unmapped).
Table 2

Summary statistics for host-filtered Platanus assemblies


Patient A

Patient B

Pig unwashed

Pig washed 1

Pig washed 2

Pig washed 3

Pig washed pooled

Host filtering using Bowtie 2 alignment

 Host-aligned read percentage

55.68 %

22.51 %

14.20 %

10.99 %

43.98 %

11.07 %



 Scaffold N50








 Largest scaffold








 Total assembled bases








 No of scaffolds








Scaffolds (≥500 bp)

 Major scaffold N50








 Largest scaffold








 Total assembled bases








 No of scaffolds








Each host-filtered library was then assembled using Platanus (version 1.2.1, default settings), because this method performed better in the preliminary assembly of unfiltered reads. This produced assemblies with scaffold N50s ranging from 6 kb (Pig Unwashed) to 46 kb (Patient B) and major N50s up to 62 kb (see Table 2 for details). A pooled assembly of the three host-filtered washed pig samples (Pig Washed 1, 2 and 3) was also performed, producing an N50 of 4.8 kb.

The Platanus assemblies of Patient B and Pig Washed 3 had the largest major N50s (62.4 kb and 40.8 kb respectively) and were selected as the var. hominis and var. suis draft reference genomes (Table 3).
Table 3

Summary statistics for Sarcoptes scabiei draft reference genomes


Assembly size (bp)

No of scaffolds

Major scaffold N50 (bp)

Largest scaffold (bp)

No of gene features annotated

Sarcoptes scabiei var. hominis (Patient B)






Sarcoptes scabiei var. suis (Pig Washed 3)






These two draft assemblies were then filtered for bacterial scaffolds by aligning scaffolds to the National Center for Biotechnology Information (NCBI) Microbial RefSeq database v72 [11] using BLASTN (version 2.2.30+; E-value cutoff 10−20; max_target_seqs = 1) [12]. The best hits in which >80 % of the scaffold length aligned to bacterial sequences were filtered out, removing 19 scaffolds from Patient B and one scaffold from Pig Washed 3. A similar search on the assemblies prior to filtering small contigs showed that most of the bacterial contigs in the assemblies were shorter than 500 bp.

To estimate the proportion of bacterial DNA contaminating the samples, microbial classification was performed on unfiltered reads from each sample using Kraken [13]. Kraken was run with default settings using the standard bacterial, archaeal and viral database (downloaded on 3 November 2014). The samples were found to have contaminant proportions of between 4 and 9 % (Additional file 2).

After removal of bacterial scaffolds, we obtained the final Sarcoptes scabiei var. hominis and var. suis draft genome assemblies, which had final major scaffold N50 values of 63.3 kb (Patient B) and 40.8 kb (Pig Washed 3). The genome sizes of the assemblies were 53.7 Mb in 3138 scaffolds (Patient B) and 53.5 Mb in 4268 scaffolds (Pig Washed 3) (Table 3). Protocols presented here are also available in [14].

Estimation of genome completeness

To estimate the completeness of the assemblies, the Core Eukaryotic Genes Mapping Approach (CEGMA) [15] and Benchmarking Universal Single-Copy Orthologs (BUSCO) [16] strategies were applied to the var. hominis and suis draft genome assemblies. CEGMA (v2.5) was run with default settings on both assemblies to estimate genome completeness based on 248 ultra-conserved core eukaryotic genes (CEGs) found in nearly all eukaryotes. For both assemblies, CEGMA estimated 98.79 % completeness based on complete matches and 99.19 % completeness based on partial matches. BUSCO (v1.1b) was run in default settings using single-copy ortholog gene set databases for eukaryote taxonomic group. Seventy-five percent (75 %) of genes from the gene set of eukaryotes were predicted in both the draft genomes (66 % complete and 8.8 % fragmented genes in var. hominis and 67 % complete and 7.9 % fragmented in var. suis).

Preliminary genome annotation

A preliminary annotation of the var. hominis draft genome (Patient B) assembly was constructed by aligning UniProtKB/Swiss-Prot proteins (release 2015_07) [17] with the assembly using TBLASTN (version 2.2.30+; E-value cutoff 10−6) [12]. Multiple annotations intersecting scaffold positions on the same strand were merged into a single annotation using the BEDTools (v2.25.0) [18] ‘merge’ sub-command in strand-specific mode. After the merging step, a total of 13,226 gene features were annotated.

Comparison with other scabies genomics resources

The mitochondrial genome reference sequence for Sarcoptes scabiei var. hominis and var. suis have been published [19] and used to investigate within-patient diversity of infestations. A draft genome assembly of Sarcoptes scabiei var. canis is also available [20]. The scaffold N50 of this genome was 11.6 kb with a largest scaffold of 358.8 kb; the total assembly size was 56.2 Mb with a total of 18,600 scaffolds. In comparison, the var. hominis (Patient B) draft assembly had a scaffold N50 of 63.3 kb with a largest scaffold of 794.3 kb; the total assembly size was 53.6 Mb with a total of 3138 scaffolds. The annotation of the var. canis genome consisted of 10,644 predicted protein-coding genes, and the preliminary annotation of the var. hominis genome consists of 13,226 gene similarity features. The var. canis assembly had an estimated completeness of 93.55 % using CEGMA, while both var. hominis and var. suis draft genome assemblies had 99.19 and 98.79 % completeness based on partial and complete matches respectively.

Availability of supporting data

Supporting data is available in the GigaScience repository [8] and raw data in NCBI (BioProject accession: PRJEB12428). Genome assembly protocols presented here are also archived in [14].

Ethics approval and consent to participate

The collection of human patient samples was approved by the Human Research Ethics Committee of the Northern Territory Department of Health and Menzies School of Health Research (approval 13–2027), and informed consent was obtained from each participant. Animal care and handling procedures used in this study followed the Animal Care and Protection Act, in compliance with the Australian code of practice for the care and use of animals for scientific purposes, outlined by the Australian National Health and Medical Research Council (NHMRC). The study was approved by the Queensland Animal Science Precinct (QASP) and the QIMR Berghofer MRI Animal Ethics Committees (DEEDIAEC SA2012/02/381, QIMR A0306-621 M).




base pairs


Benchmarking Universal Single-Copy Orthologs


core eukaryotic genes mapping approach


core eukaryotic genes


National Center for Biotechnology Information



This research was supported by The Scobie and Claire Mackinnon Trust, the Lettisier Foundation, the Evans Family Foundation and the Australian NHMRC Program Grants (1054618 and 496600). KF and MB were supported by Australian Research Council Future Fellowships. The research benefitted from the support of Victorian State Government Operational Infrastructure Support and Australian Government NHMRC Independent Research Institute Infrastructure Support. We acknowledge Mr Andrew Kelly and Mrs Beverly Hutchinson for the animal management at the QASP.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia
Department of Medical Biology, University of Melbourne, Melbourne, VIC, 3010, Australia
Menzies School of Health Research, Charles Darwin University, Casuarina, NT, 0811, Australia
Victorian Life Sciences Computation Initiative, University of Melbourne, Melbourne, VIC, 3010, Australia
QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD, 4006, Australia
Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, 3010, Australia
Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia


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