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Published on: January 7, 2020
Multiplexed microsatellite recovery using massively parallel sequencing.
T N Jennings1, B J Knaus, T D Mullins
1Pacific Northwest Research Station, USDA Forest Service, 3200 SW Jefferson Way, Corvallis, OR 97331, USA.
Molecular Ecology Resources
|June 17, 2011
Summary
Massively parallel sequencing (MPS) offers an inexpensive and accurate genotyping method for natural populations. This approach significantly reduces costs for developing microsatellite markers, aiding conservation efforts for endangered species.
Area of Science:
- Genomics
- Conservation Biology
- Molecular Ecology
Background:
- Accurate and affordable genotyping is crucial for managing natural populations.
- Traditional microsatellite (simple sequence repeat - SSR) analysis is a widely used, cost-effective genotyping method.
- Advancements in sequencing technology enable new approaches for marker discovery.
Purpose of the Study:
- To evaluate the efficacy of using multiplexed massively parallel sequencing (MPS) for identifying microsatellite markers.
- To assess the cost-effectiveness and conversion rates of MPS for microsatellite genotyping.
- To determine the feasibility of applying this method for large-scale conservation initiatives.
Main Methods:
- Preparation of seven multiplexed, barcoded, microsatellite-enriched genomic libraries from diverse taxa (conifers and birds).
- Sequencing of libraries using Illumina Genome Analyzer with paired-end 80-bp reads.
- Analysis of millions of sequences to identify microsatellite-containing reads and assess marker conversion rates.
Main Results:
- Screened 6.1 million sequences, identifying 356,958 unique microsatellite-containing microreads.
- Achieved favorable conversion rates from raw sequences to polymorphic markers compared to existing methods (Sanger, 454).
- Reduced per-species preparation and sequencing costs to under $400 USD through multiplexed MPS.
Conclusions:
- Multiplexed MPS provides an accurate, inexpensive, and high-throughput method for microsatellite marker discovery.
- This approach significantly lowers genotyping costs, making it viable for conserving numerous threatened and endangered species.
- The method holds substantial promise for advancing population genetics and conservation management.

