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Fast sequence-based microsatellite genotyping development workflow. | LitMetric

AI Article Synopsis

  • * The study presents a streamlined workflow for SSRseq, which includes developing microsatellites, amplifying and sequencing markers, and automating data analysis, with applications to various species including fungi, plants, insects, and fish.
  • * It is found that designing new primers (de novo) produces better results than using existing assays, allowing for the sequencing of 20-40 loci and creating detailed genotypic datasets that facilitate advanced genetic analysis.

Article Abstract

Application of high-throughput sequencing technologies to microsatellite genotyping (SSRseq) has been shown to remove many of the limitations of electrophoresis-based methods and to refine inference of population genetic diversity and structure. We present here a streamlined SSRseq development workflow that includes microsatellite development, multiplexed marker amplification and sequencing, and automated bioinformatics data analysis. We illustrate its application to five groups of species across phyla (fungi, plant, insect and fish) with different levels of genomic resource availability. We found that relying on previously developed microsatellite assay is not optimal and leads to a resulting low number of reliable locus being genotyped. In contrast, de novo ad hoc primer designs gives highly multiplexed microsatellite assays that can be sequenced to produce high quality genotypes for 20-40 loci. We highlight critical upfront development factors to consider for effective SSRseq setup in a wide range of situations. Sequence analysis accounting for all linked polymorphisms along the sequence quickly generates a powerful multi-allelic haplotype-based genotypic dataset, calling to new theoretical and analytical frameworks to extract more information from multi-nucleotide polymorphism marker systems.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204839PMC
http://dx.doi.org/10.7717/peerj.9085DOI Listing

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