Abstract
Massively parallel sequencing has revolutionized many areas of biology, but sequencing large amounts of DNA in many individuals is cost-prohibitive and unnecessary for many studies. Genomic complexity reduction techniques such as sequence capture and restriction enzyme-based methods enable the analysis of many more individuals per unit cost. Despite their utility, current complexity reduction methods have limitations, especially when large numbers of individuals are analyzed. Here we develop a much improved restriction site-associated DNA (RAD) sequencing protocol and a new method called Rapture (RAD capture). The new RAD protocol improves versatility by separating RAD tag isolation and sequencing library preparation into two distinct steps. This protocol also recovers more unique (nonclonal) RAD fragments, which improves both standard RAD and Rapture analysis. Rapture then uses an in-solution capture of chosen RAD tags to target sequencing reads to desired loci. Rapture combines the benefits of both RAD and sequence capture, i.e., very inexpensive and rapid library preparation for many individuals as well as high specificity in the number and location of genomic loci analyzed. Our results demonstrate that Rapture is a rapid and flexible technology capable of analyzing a very large number of individuals with minimal sequencing and library preparation cost. The methods presented here should improve the efficiency of genetic analysis for many aspects of agricultural, environmental, and biomedical science.
| Original language | English |
|---|---|
| Pages (from-to) | 389-400 |
| Number of pages | 12 |
| Journal | Genetics |
| Volume | 202 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 2016 |
| Externally published | Yes |
Funding
We thank the Fall River Conservancy; Andrew Braugh; California Trout; S. D. Bechtel, Jr. Foundation; 1000 Springs Ranch; Steve McCanne; California Department of Fish and Wildlife-Heritage and Wild Trout Program; members of the Genetic Diversity Research Group and the University of California, Davis Watershed Science Center, in particular, Eric Holmes, Daniel Prince, and Ismail Saglam for help with sample collection and data analysis; and Iwanka Kozarewa for hamming barcode sequences. G.L. and S.J.A. were supported by grants from the National Science Foundation (DEB-1258203) and Montana Fish Wildlife and Parks. This work used the Vincent J. Coates Genomics Sequencing Laboratory at the University of California at Berkeley, supported by NIH S10 Instrumentation grants S10RR029668 and S10RR027303.
| Funders | Funder number |
|---|---|
| Montana Fish Wildlife and Parks | |
| DEB-1258203 | |
| S10RR029668 | |
| S10RR027303 | |
| California State University Stanislaus | |
| California Department of Fish and Wildlife |
Keywords
- Animals
- Genetics, Population
- Genotyping Techniques
- High-Throughput Nucleotide Sequencing/methods
- Oncorhynchus mykiss/genetics
- Sequence Analysis, DNA/methods
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