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  5. A novel method of microsatellite genotyping-by-sequencing using individual combinatorial barcoding
 
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A novel method of microsatellite genotyping-by-sequencing using individual combinatorial barcoding

Author(s)
Vartia, Salla  
Villanueva-Cañas, José L.  
Finarelli, John A.  
Farrell, Edward  
Hughes, Graham M.  
Carlsson, Jeanette E. L.  
Carlsson, Jens  
et al.  
Uri
http://hdl.handle.net/10197/8467
Date Issued
2016-01-20
Date Available
2017-05-03T11:07:30Z
Abstract
This study examines the potential of next-generation sequencing based 'genotyping-by-sequencing'(GBS) of microsatellite loci for rapid and cost-effective genotyping in large-scale population genetic studies. The recovery of individual genotypes from large sequence pools was achieved by PCR-incorporated combinatorial barcoding using universal primers. Three experimental conditions were employed to explore the possibility of using this approach with existing and novel multiplex marker panels and weighted amplicon mixture. The GBS approach was validated against microsatellite data generated by capillary electrophoresis. GBS allows access to the underlying nucleotide sequences that can reveal homoplasy, even in large datasets and facilitates cross laboratory transfer. GBS of microsatellites, using individual combinatorial barcoding, is potentially faster and cheaper than current microsatellite approaches and offers better and more data.
Sponsorship
European Commission - European Regional Development Fund
Irish Research Council
Science Foundation Ireland
Other Sponsorship
Sea Change Strategy
Marine Institute
Marine Research Sub-programme
Spanish Ministerio de Economía y Competitividad
Type of Material
Journal Article
Publisher
The Royal Society
Journal
Royal Society Open Science
Volume
3
Start Page
1
End Page
9
Copyright (Published Version)
2016 the Authors
Subjects

Amplicon sequencin

Gadus morhua

Genotyping by sequenc...

Next-generation

Sequencing

Ssr

Universal primer

DOI
10.1098/rsos.150565
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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2016_Vartia_etal_RoySocOpenSci.pdf

Size

439.49 KB

Format

Adobe PDF

Checksum (MD5)

ebbd4acc2ef9feed6818e064ddbfb1b6

Owning collection
Biology & Environmental Science Research Collection
Mapped collections
Earth Institute Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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