Mining and Development of Novel SSR Markers Using Next Generation Sequencing (NGS) Data in Plants

Molecules. 2018 Feb 13;23(2):399. doi: 10.3390/molecules23020399.

Abstract

Microsatellites, or simple sequence repeats (SSRs), are one of the most informative and multi-purpose genetic markers exploited in plant functional genomics. However, the discovery of SSRs and development using traditional methods are laborious, time-consuming, and costly. Recently, the availability of high-throughput sequencing technologies has enabled researchers to identify a substantial number of microsatellites at less cost and effort than traditional approaches. Illumina is a noteworthy transcriptome sequencing technology that is currently used in SSR marker development. Although 454 pyrosequencing datasets can be used for SSR development, this type of sequencing is no longer supported. This review aims to present an overview of the next generation sequencing, with a focus on the efficient use of de novo transcriptome sequencing (RNA-Seq) and related tools for mining and development of microsatellites in plants.

Keywords: Illumina; RNA-Seq; SSR markers; de novo transcriptome; microsatellite; short tandem repeat (STR).

Publication types

  • Review

MeSH terms

  • Arabidopsis / genetics*
  • Crops, Agricultural
  • Data Mining / methods*
  • Expressed Sequence Tags
  • Genetic Markers
  • High-Throughput Nucleotide Sequencing / instrumentation
  • High-Throughput Nucleotide Sequencing / methods
  • High-Throughput Nucleotide Sequencing / statistics & numerical data*
  • Microsatellite Repeats*
  • Molecular Sequence Annotation
  • Oryza / genetics*
  • Polymorphism, Genetic
  • Software
  • Transcriptome*

Substances

  • Genetic Markers