Fast sequence-based microsatellite genotyping development workflow

PeerJ. 2020 May 4:8:e9085. doi: 10.7717/peerj.9085. eCollection 2020.

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.

Keywords: HapSTR; Haplotype sequence; SNPSTR; SSR-GBS; SSR-seq; Sequence-based microsatellite genotyping.

Grants and funding

This research was supported by grants of the Agence de l’Eau Adour-Garonne (project 2017/3273), the Région Nouvelle-Aquitaine (project 2016-1R20602-00007239), the Agence Française pour la Biodiversité (project 2016–18 A13) and INRAE. Abdeldjalil Aissi benefited from a travel grant from the Department of Agronomy ISVSA of the University Batna 1 Hadja Lakhdar. Technical developments and sequencing were performed at the Genome Transcriptome Facility of Bordeaux (Grants from Investissements d’Avenir, Convention attributive d’aide EquipEx Xyloforest ANR-10-EQPX-16-01). There was no additional external funding received for this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.