AI Article Synopsis

  • Microsatellites are key tools for population genetics, and next-generation pyrosequencing has made their discovery faster and cheaper through increased DNA sequencing.
  • The study proposes a method to streamline the process by using bioinformatics to screen microsatellite loci before designing PCR primers, thus reducing time and costs associated with laboratory work.
  • By avoiding loci linked to repetitive elements and applying this approach to various species, including Yellowstripe Goatfish and copepods, the researchers achieved a higher success rate in primer selection compared to previous methods.

Article Abstract

Microsatellites are the markers of choice for a variety of population genetic studies. The recent advent of next-generation pyrosequencing has drastically accelerated microsatellite locus discovery by providing a greater amount of DNA sequencing reads at lower costs compared to other techniques. However, laboratory testing of PCR primers targeting potential microsatellite markers remains time consuming and costly. Here we show how to reduce this workload by screening microsatellite loci via bioinformatic analyses prior to primer design. Our method emphasizes the importance of sequence quality, and we avoid loci associated with repetitive elements by screening with repetitive sequence databases available for a growing number of taxa. Testing with the Yellowstripe Goatfish Mulloidichthys flavolineatus and the marine planktonic copepod Pleuromamma xiphias we show higher success rate of primers selected by our pipeline in comparison to previous in silico microsatellite detection methodologies. Following the same pipeline, we discover and select microsatellite loci in nine additional species including fishes, sea stars, copepods and octopuses.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3570555PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0055990PLOS

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