The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Fast, Cost-Effective Development of Species-Specific Microsatellite Markers by Genomic Sequencing
Open accessAbstract
Microsatellites are the genetic markers of choice for many population genetic studies, but must be isolated de novo using recombinant approaches where prior genetic data are lacking. Here we utilized high-throughput genomic sequencing technology to produce millions of base pairs of short fragment reads, which were screened with bioinformatics toolsets to identify primers that amplify polymorphic microsatellite loci. Using this approach we isolated 13 polymorphic microsatellites for the blue duck (Hymenolaimus malacorhynchos), a species for which limited genetic data were available. Our genomic approach eliminates recombinant genetic steps, significantly reducing the time and cost requirements of marker development compared with traditional approaches. While this application of genomic sequencing may seem obvious to many, this study is, to the best of our knowledge, the first attempt to describe the use of genomic sequencing for the development of microsatellite markers in a non-model organism or indeed any organism.
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Current trends in microsatellite genotyping
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Applications of landscape genetics in conservation biology: concepts and challenges
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Considering spatial and temporal scale in landscape‐genetic studies of gene flow
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Metadata
- Authors
- Abdelkrim, J., Robertson, B. C., Stanton, J.-A. L., & Gemmell, N. J.
- Venue
- BioTechniques
- Publisher
- Informa UK Limited
- Published
- 2009-03
- Volume
- 46
- Issue
- 3
- Pages
- 185-192
- ISSN
- 0736-6205 (ISSN-L)
- 1940-9818
- OpenAlex
- W2134739162
- Cited by
- 375
- References
- 11
- FWCI
- 19.25
- Type
- journal article
- Language
- en
- Open access
- gold
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- Abdelkrim, J., Robertson, B. C., Stanton, J.-A. L., & Gemmell, N. J. (2009). Fast, Cost-Effective Development of Species-Specific Microsatellite Markers by Genomic Sequencing. BioTechniques. https://doi.org/10.2144/000113084
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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