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Approaches to genotyping individual miracidia of Schistosoma japonicum

Overview of attention for article published in Parasitology Research, September 2013
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Title
Approaches to genotyping individual miracidia of Schistosoma japonicum
Published in
Parasitology Research, September 2013
DOI 10.1007/s00436-013-3587-9
Pubmed ID
Authors

Ning Xiao, Justin V. Remais, Paul J. Brindley, Dong-Chuan Qiu, Elizabeth J. Carlton, Rong-Zhi Li, Yang Lei, David Blair

Abstract

Molecular genetic tools are needed to address questions as to the source and dynamics of transmission of the human blood fluke Schistosoma japonicum in regions where human infections have reemerged, and to characterize infrapopulations in individual hosts. The life stage that interests us as a target for collecting genotypic data is the miracidium, a very small larval stage that consequently yields very little DNA for analysis. Here, we report the successful development of a multiplex format permitting genotyping of 17 microsatellite loci in four sequential multiplex reactions using a single miracidium held on a Whatman Classic FTA indicating card. This approach was successful after short storage periods, but after long storage (>4 years), considerable difficulty was encountered in multiplex genotyping, necessitating the use of whole genome amplification (WGA) methods. WGA applied to cards stored for long periods of time resulted in sufficient DNA for accurate and repeatable genotyping. Trials and tests of these methods, as well as application to some field-collected samples, are reported, along with the discussion of the potential insights to be gained from such techniques. These include recognition of sibships among miracidia from a single host, and inference of the minimum number of worm pairs that might be present in a host.

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The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 11%
Student > Doctoral Student 2 11%
Student > Bachelor 2 11%
Researcher 2 11%
Professor 1 5%
Other 3 16%
Unknown 7 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 21%
Biochemistry, Genetics and Molecular Biology 3 16%
Veterinary Science and Veterinary Medicine 1 5%
Environmental Science 1 5%
Computer Science 1 5%
Other 2 11%
Unknown 7 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 July 2014.
All research outputs
#15,302,478
of 22,758,248 outputs
Outputs from Parasitology Research
#1,784
of 3,779 outputs
Outputs of similar age
#121,569
of 197,617 outputs
Outputs of similar age from Parasitology Research
#18
of 37 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,779 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.