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Substantial differences in bias between single‐digest and double‐digest RAD‐seq libraries: A case study

Overview of attention for article published in Molecular Ecology Resources, November 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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1 blog
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3 X users
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1 Bluesky user

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181 Mendeley
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Article details
Title
Substantial differences in bias between single‐digest and double‐digest RAD‐seq libraries: A case study
Published in
Molecular Ecology Resources, November 2017
DOI 10.1111/1755-0998.12734
Pubmed ID
Authors
Abstract

The tradeoffs of using single-digest versus double-digest restriction site associated DNA sequencing (RAD-seq) protocols have been widely discussed. However, no direct empirical comparisons of the two methods have been conducted. Here, we sampled a single population of Gulf pipefish (Syngnathus scovelli) and genotyped 444 individuals using RAD-seq. Sixty individuals were subjected to single-digest RAD-seq (sdRAD-seq), and the remaining 384 individuals were genotyped using a double-digest RAD-seq (ddRAD-seq) protocol. We analyzed the resulting Illumina sequencing data and compared the two genotyping methods when reads were analyzed either together or separately. Coverage statistics, observed heterozygosity, and allele frequencies differed significantly between the two protocols, as did the results of selection components analysis. We also performed an in silico digestion of the Gulf pipefish genome and modeled five major sources of bias: PCR duplicates, polymorphic restriction sites, shearing bias, asymmetric sampling (i.e., genotyping fewer individuals with sdRAD-seq than with ddRAD-seq), and higher major allele frequencies. This combination of approaches allowed us to determine that polymorphic restriction sites, an asymmetric sampling scheme, mean allele frequencies, and to some extent PCR duplicates all contribute to different estimates of allele frequencies between samples genotyped using sdRAD-seq versus ddRAD-seq. Our finding that sdRAD-seq and ddRAD-seq can result in different allele frequencies has implications for comparisons across studies and techniques that endeavor to identify genome-wide signatures of evolutionary processes in natural populations. This article is protected by copyright. All rights reserved.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 181 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 48 27%
Researcher 32 18%
Student > Master 29 16%
Student > Bachelor 11 6%
Student > Doctoral Student 10 6%
Other 24 13%
Unknown 27 15%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 91 50%
Biochemistry, Genetics and Molecular Biology 32 18%
Environmental Science 15 8%
Engineering 3 2%
Business, Management and Accounting 1 <1%
Other 7 4%
Unknown 32 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 19 April 2018.
All research outputs
#4,323,578
of 28,832,041 outputs
Outputs from Molecular Ecology Resources
#582
of 1,951 outputs
Outputs of similar age
#78,814
of 457,598 outputs
Outputs of similar age from Molecular Ecology Resources
#7
of 20 outputs
Altmetric has tracked 28,832,041 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,951 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 69% 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 457,598 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 82% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.