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      Fast sequence-based microsatellite genotyping development workflow

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          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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          Genotyping errors: causes, consequences and solutions.

          Although genotyping errors affect most data and can markedly influence the biological conclusions of a study, they are too often neglected. Errors have various causes, but their occurrence and effect can be limited by considering these causes in the production and analysis of the data. Procedures that have been developed for dealing with errors in linkage studies, forensic analyses and non-invasive genotyping should be applied more broadly to any genetic study. We propose a protocol for estimating error rates and recommend that these measures be systemically reported to attest the reliability of published genotyping studies.
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            Current trends in microsatellite genotyping.

            Microsatellites have been popular molecular markers ever since their advent in the late eighties. Despite growing competition from new genotyping and sequencing techniques, the use of these versatile and cost-effective markers continues to increase, boosted by successive technical advances. First, methods for multiplexing PCR have considerably improved over the last years, thereby decreasing genotyping costs and increasing throughput. Second, next-generation sequencing technologies allow the identification of large numbers of microsatellite loci at reduced cost in non-model species. As a consequence, more stringent selection of loci is possible, thereby further enhancing multiplex quality and efficiency. However, current practices are lagging behind. By surveying recently published population genetic studies relying on simple sequence repeats, we show that more than half of the studies lack appropriate quality controls and do not make use of multiplex PCR. To make the most of the latest technical developments, we outline the need for a well-established strategy including standardized high-throughput bench protocols and specific bioinformatic tools, from primer design to allele calling. © 2011 Blackwell Publishing Ltd.
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              The evolution of molecular markers--just a matter of fashion?

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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                peerj
                peerj
                PeerJ
                PeerJ Inc. (San Diego, USA )
                2167-8359
                4 May 2020
                2020
                : 8
                : e9085
                Affiliations
                [1 ]INRAE, Univ. Bordeaux, BIOGECO , Cestas, France
                [2 ]INRAE, Université de Pau et Pays de l’Adour, ECOBIOP , Saint-Peé-sur-Nivelle, France
                [3 ]LAPAPEZA, University of Batna 1 Hadj Lakhdar , Batna, Algeria
                [4 ]INRAE, EABX , Cestas, France
                [5 ]INRAE, Agrocampus Ouest, ESE, Ecology and Ecosystem Health , Rennes, France
                Article
                9085
                10.7717/peerj.9085
                7204839
                32411534
                93412345-dfee-4889-9b2d-b1dfc22480f1
                ©2020 Lepais et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 3 January 2020
                : 8 April 2020
                Funding
                Funded by: Agence de l’Eau Adour-Garonne
                Award ID: 2017/3273
                Funded by: Région Nouvelle-Aquitaine
                Award ID: 2016-1R20602-00007239
                Funded by: Agence Française pour la Biodiversité
                Award ID: 2016–18 A13
                Funded by: INRAE
                Funded by: Department of Agronomy ISVSA of the University Batna 1 Hadja Lakhdar
                Funded by: Genome Transcriptome Facility of Bordeaux
                Funded by: Investissements d’Avenir, Convention attributive d’aide EquipEx Xyloforest
                Award ID: ANR-10-EQPX-16-01
                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.
                Categories
                Conservation Biology
                Ecology
                Evolutionary Studies
                Genetics
                Population Biology

                sequence-based microsatellite genotyping,ssr-gbs,ssr-seq,haplotype sequence,hapstr,snpstr

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