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Draft genome of the scabies mite

Overview of attention for article published in Parasites & Vectors, November 2015
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  • High Attention Score compared to outputs of the same age and source (81st percentile)

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Title
Draft genome of the scabies mite
Published in
Parasites & Vectors, November 2015
DOI 10.1186/s13071-015-1198-2
Pubmed ID
Authors

S. Dean Rider, Marjorie S. Morgan, Larry G. Arlian

Abstract

The disease scabies, caused by the ectoparasitic mite, Sarcoptes scabiei, causes significant morbidity in humans and other mammals worldwide. However, there is limited data available regarding the molecular basis of host specificity and host-parasite interactions. Therefore, we sought to produce a draft genome for S. scabiei and use this to identify molecular markers that will be useful for phylogenetic population studies and to identify candidate protein-coding genes that are critical to the unique biology of the parasite. S. scabiei var. canis DNA was isolated from living mites and sequenced to ultra-deep coverage using paired-end technology. Sequence reads were assembled into gapped contigs using de Bruijn graph based algorithms. The assembled genome was examined for repetitive elements and gene annotation was performed using ab initio, and homology-based methods. The draft genome assembly was about 56.2 Mb and included a mitochondrial genome contig. The predicted proteome contained 10,644 proteins, ~67 % of which appear to have clear orthologs in other species. The genome also contained more than 140,000 simple sequence repeat loci that may be useful for population-level studies. The mitochondrial genome contained 13 protein coding loci and 20 transfer RNAs. Hundreds of candidate salivary gland protein genes were identified by comparing the scabies mite predicted proteome with sialoproteins and transcripts identified in ticks and other hematophagous arthropods. These include serpins, ferritins, reprolysins, apyrases and new members of the macrophage migration inhibitory factor (MIF) gene family. Numerous other genes coding for salivary proteins, metabolic enzymes, structural proteins, proteins that are potentially immune modulating, and vaccine candidates were identified. The genes encoding cysteine and serine protease paralogs as well as mu-type glutathione S-transferases are represented by gene clusters. S. scabiei possessed homologs for most of the 33 dust mite allergens. The draft genome is useful for advancing our understanding of the host-parasite interaction, the biology of the mite and its phylogenetic relationship to other Acari. The identification of antigen-producing genes, candidate immune modulating proteins and pathways, and genes responsible for acaricide resistance offers opportunities for developing new methods for diagnosing, treating and preventing this disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Germany 1 1%
Unknown 73 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 19%
Student > Master 7 9%
Professor 6 8%
Student > Bachelor 6 8%
Professor > Associate Professor 5 7%
Other 18 24%
Unknown 19 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 23%
Biochemistry, Genetics and Molecular Biology 16 21%
Medicine and Dentistry 10 13%
Veterinary Science and Veterinary Medicine 4 5%
Chemistry 4 5%
Other 5 7%
Unknown 19 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 November 2017.
All research outputs
#6,426,602
of 22,832,057 outputs
Outputs from Parasites & Vectors
#1,464
of 5,465 outputs
Outputs of similar age
#80,987
of 282,792 outputs
Outputs of similar age from Parasites & Vectors
#29
of 160 outputs
Altmetric has tracked 22,832,057 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 5,465 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 282,792 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 160 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.