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Less is more: extreme genome complexity reduction with ddRAD using Ion Torrent semiconductor technology

Overview of attention for article published in Molecular Ecology Resources, March 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Average Attention Score compared to outputs of the same age and source

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8 X users

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Title
Less is more: extreme genome complexity reduction with ddRAD using Ion Torrent semiconductor technology
Published in
Molecular Ecology Resources, March 2015
DOI 10.1111/1755-0998.12392
Pubmed ID
Authors

Lilian Pukk, Freed Ahmad, Shihab Hasan, Veljo Kisand, Riho Gross, Anti Vasemägi

Abstract

Massively parallel sequencing a small proportion of the whole genome at high coverage enables answering a wide range of questions from molecular evolution and evolutionary biology to animal and plant breeding and forensics. In this study we describe the development of restriction-site associated DNA (RAD) sequencing approach for Ion Torrent PGM platform. Our protocol results in extreme genome complexity reduction using two rare-cutting restriction enzymes and strict size selection of the library allowing sequencing of a relatively small number of genomic fragments with high sequencing depth. We applied this approach to a common freshwater fish species, the Eurasian perch (Perca fluviatilis L.) and generated over 2.3 MB of novel sequence data consisting of ~17 000 contigs, identified 1 259 single nucleotide polymorphisms (SNPs). We also estimated genetic differentiation between the DNA pools from freshwater (Lake Peipus) and brackish water (the Baltic Sea) populations and identified SNPs with the strongest signal of differentiation that could be used for robust individual assignment in the future. This work represents an important step towards developing genomic resources and genetic tools for the Eurasian perch. We expect that our ddRAD sequencing protocol for semiconductor sequencing technology will be useful alternative for currently available RAD protocols. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Switzerland 1 <1%
Germany 1 <1%
Norway 1 <1%
France 1 <1%
Unknown 117 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 26%
Researcher 31 25%
Student > Master 15 12%
Student > Bachelor 9 7%
Professor > Associate Professor 6 5%
Other 15 12%
Unknown 15 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 50%
Biochemistry, Genetics and Molecular Biology 29 24%
Environmental Science 4 3%
Medicine and Dentistry 2 2%
Nursing and Health Professions 1 <1%
Other 6 5%
Unknown 19 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 08 January 2016.
All research outputs
#6,013,614
of 24,542,484 outputs
Outputs from Molecular Ecology Resources
#785
of 1,740 outputs
Outputs of similar age
#64,394
of 263,645 outputs
Outputs of similar age from Molecular Ecology Resources
#23
of 39 outputs
Altmetric has tracked 24,542,484 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,740 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 54% 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 263,645 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.