Frontiers in Genetics (Nov 2024)

What are microsatellites and how to choose the best tool: a user-friendly review of SSR and 74 SSR mining tools

  • Sandy Ingrid Aguiar Alves,
  • Sandy Ingrid Aguiar Alves,
  • Sandy Ingrid Aguiar Alves,
  • Carlos Willian Dias Dantas,
  • Carlos Willian Dias Dantas,
  • Carlos Willian Dias Dantas,
  • Daralyns Borges Macedo,
  • Daralyns Borges Macedo,
  • Rommel Thiago Jucá Ramos,
  • Rommel Thiago Jucá Ramos

DOI
https://doi.org/10.3389/fgene.2024.1474611
Journal volume & issue
Vol. 15

Abstract

Read online

Microsatellites, also known as SSR or STR, are essential molecular markers in genomic research, playing crucial roles in genetic mapping, population genetics, and evolutionary studies. Their applications range from plant breeding to forensics, highlighting their diverse utility across disciplines. Despite their widespread use, traditional methods for SSR analysis are often laborious and time-consuming, requiring significant resources and expertise. To address these challenges, a variety of computational tools for SSR analysis have been developed, offering faster and more efficient alternatives to traditional methods. However, selecting the most appropriate tool can be daunting due to rapid technological advancements and the sheer number of options available. This study presents a comprehensive review and analysis of 74 SSR tools, aiming to provide researchers with a valuable resource for SSR analysis tool selection. The methodology employed includes thorough literature reviews, detailed tool comparisons, and in-depth analyses of tool functionality. By compiling and analyzing these tools, this study not only advances the field of genomic research but also contributes to the broader scientific community by facilitating informed decision-making in the selection of SSR analysis tools. Researchers seeking to understand SSRs and select the most appropriate tools for their projects will benefit from this comprehensive guide. Overall, this study enhances our understanding of SSR analysis tools, paving the way for more efficient and effective SSR research in various fields of study.

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