Fast sequence-based microsatellite genotyping development workflow
LEPAIS, Olivier
Biodiversité, Gènes & Communautés [BioGeCo]
Ecologie Comportementale et Biologie des Populations de Poissons [ECOBIOP]
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Biodiversité, Gènes & Communautés [BioGeCo]
Ecologie Comportementale et Biologie des Populations de Poissons [ECOBIOP]
LEPAIS, Olivier
Biodiversité, Gènes & Communautés [BioGeCo]
Ecologie Comportementale et Biologie des Populations de Poissons [ECOBIOP]
< Réduire
Biodiversité, Gènes & Communautés [BioGeCo]
Ecologie Comportementale et Biologie des Populations de Poissons [ECOBIOP]
Langue
en
Article de revue
Ce document a été publié dans
PeerJ. 2020, vol. 8, p. 1-28
PeerJ
Résumé en anglais
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 ...Lire la suite >
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.< Réduire
Mots clés en anglais
Subjects Conservation Biology
Ecology
Evolutionary Studies
Genetics
Population Biology Keywords Sequence-based microsatellite genotyping
SSR-GBS
SSR-seq
Haplotype sequence
HapSTR
SNPSTR
Project ANR
Plateforme d'Innovation " Forêt-Bois-Fibre-Biomasse du Futur " - ANR-10-EQPX-0016
Origine
Importé de halUnités de recherche