Decoding a Substantial Set of Samples in Parallel by Massive Sequencing
2011

New Method for Sequencing Thousands of Samples at Once

Sample size: 4992 publication Evidence: moderate

Author Information

Author(s): MÃ¥rten Neiman, Sverker Lundin, Peter Savolainen, Afshin Ahmadian

Primary Institution: Science for Life Laboratory, Department of Gene Technology, School of Biotechnology, Royal Institute of Technology (KTH), Solna, Sweden

Hypothesis

Can a two-tagging method improve the efficiency of sequencing thousands of samples in parallel?

Conclusion

The study demonstrates a reliable method for sequencing thousands of samples in parallel with reduced complexity and cost.

Supporting Evidence

  • The method allowed for accurate identification and typing of thousands of samples in parallel.
  • 94% of the successfully amplified samples were genotyped with a minimum sequence depth of 20 reads per sample.
  • The method is highly scalable with only a limited number of additional tags leading to a substantial increase in sample size.

Takeaway

Scientists found a way to quickly read the DNA of many samples at once, making it easier to study lots of animals without a lot of extra work.

Methodology

The study used a two-tagging strategy to identify samples, allowing for the sequencing of 4992 samples using only 122 tags.

Limitations

The success rate of PCR was dependent on sample quality, and some primers performed poorly.

Participant Demographics

The sample set consisted of 4708 dogs and wolves.

Digital Object Identifier (DOI)

10.1371/journal.pone.0017785

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