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      Microsatellite loci development for three catfish species from northwestern South America

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          Abstract

          ABSTRACT The Neotropical catfish species Ageneiosus pardalis, Pimelodus grosskopfii, and Sorubim cuspicaudus are important fishery resources in Colombia that show historical declines in their capture. This study used next-generation sequencing with 454 FLX technology (Roche Applied Science) and bioinformatics analysis to develop between 18 and 24 microsatellite loci for these species. The novel microsatellite loci showed high values of polymorphic information content -PIC (A. pardalis: 0.601-0.903, P. grosskopfii: 0.748-0.946 and S. cuspicaudus: 0.383-0.876), and the average number of alleles/locus ranged from 7-15 for A. pardalis, 9-30 for P. grosskopfii and 5-14 for S. cuspicaudus. The average observed and expected heterozygosities were respectively, 0.757 ± 0.035 and 0.834 ± 0.015 for A. pardalis; 0.596 ± 0.040 and 0.881 ± 0.009 for P. grosskopfii; and 0.747 ± 0.031 and 0.757 ± 0.025 for S. cuspicaudus. For future studies, these loci can be useful to estimate the genetic diversity and population structure in these three Neotropical catfishes.

          Translated abstract

          RESUMEN Las especies de bagres neotropicales Ageneiosus pardalis, Pimelodus grosskopfii y Sorubim cuspicaudus, son importantes recursos pesqueros en Colombia y han mostrado disminuciones históricas en sus capturas. En este estudio se empleó la secuenciación genómica de próxima generación y análisis bioinformático para desarrollar entre 18 y 24 loci microsatélites para estas especies. Los loci microsatélites mostraron altos valores del contenido de información polimórfica CIP (A. pardalis: 0.601-0.903, P. grosskopfii: 0.748-0.946 and S. cuspicaudus: 0.383-0.876) y el número promedio de alelos/locus mostró un rango de 7-15 para A. pardalis, 9-30 para P. grosskopfii y 5-14 para S. cuspicaudus. Los valores promedio de heterocigosidad observada y esperada fueron respectivamente 0.757 ± 0.035 y 0.834 ± 0.015 para A. pardalis; 0.596 ± 0.040 y 0.881 ± 0.009 para P. grosskopfii; y 0.747 ± 0.031y 0.757 ± 0.025 para S. cuspicaudus. Los loci microsatélites desarrollados en este trabajo pueden ser útiles para estimar la diversidad genética y la estructura poblacional de estos tres bagres neotropicales en estudios futuros.

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          Most cited references55

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          Statistical confidence for likelihood-based paternity inference in natural populations.

          Paternity inference using highly polymorphic codominant markers is becoming common in the study of natural populations. However, multiple males are often found to be genetically compatible with each offspring tested, even when the probability of excluding an unrelated male is high. While various methods exist for evaluating the likelihood of paternity of each nonexcluded male, interpreting these likelihoods has hitherto been difficult, and no method takes account of the incomplete sampling and error-prone genetic data typical of large-scale studies of natural systems. We derive likelihood ratios for paternity inference with codominant markers taking account of typing error, and define a statistic delta for resolving paternity. Using allele frequencies from the study population in question, a simulation program generates criteria for delta that permit assignment of paternity to the most likely male with a known level of statistical confidence. The simulation takes account of the number of candidate males, the proportion of males that are sampled and gaps and errors in genetic data. We explore the potentially confounding effect of relatives and show that the method is robust to their presence under commonly encountered conditions. The method is demonstrated using genetic data from the intensively studied red deer (Cervus elaphus) population on the island of Rum, Scotland. The Windows-based computer program, CERVUS, described in this study is available from the authors. CERVUS can be used to calculate allele frequencies, run simulations and perform parentage analysis using data from all types of codominant markers.
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            Applications of next generation sequencing in molecular ecology of non-model organisms.

            As most biologists are probably aware, technological advances in molecular biology during the last few years have opened up possibilities to rapidly generate large-scale sequencing data from non-model organisms at a reasonable cost. In an era when virtually any study organism can 'go genomic', it is worthwhile to review how this may impact molecular ecology. The first studies to put the next generation sequencing (NGS) to the test in ecologically well-characterized species without previous genome information were published in 2007 and the beginning of 2008. Since then several studies have followed in their footsteps, and a large number are undoubtedly under way. This review focuses on how NGS has been, and can be, applied to ecological, population genetic and conservation genetic studies of non-model species, in which there is no (or very limited) genomic resources. Our aim is to draw attention to the various possibilities that are opening up using the new technologies, but we also highlight some of the pitfalls and drawbacks with these methods. We will try to provide a snapshot of the current state of the art for this rapidly advancing and expanding field of research and give some likely directions for future developments.
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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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                Author and article information

                Journal
                ni
                Neotropical Ichthyology
                Neotrop. ichthyol.
                Sociedade Brasileira de Ictiologia (Maringá, PR, Brazil )
                1679-6225
                1982-0224
                2020
                : 18
                : 1
                : e190079
                Affiliations
                [1] Medellín orgnameUniversidad Nacional de Colombia orgdiv1Escuela de Biociencias orgdiv2Laboratorio de Biología Molecular y Celular Colombia nrestree@ 123456unal.edu.co
                Article
                S1679-62252020000100210 S1679-6225(20)01800100210
                10.1590/1982-0224-2019-0079
                8a785264-41f5-4237-824e-6e797d9e1207

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 24 July 2019
                : 19 December 2019
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 64, Pages: 0
                Product

                SciELO Brazil

                Categories
                Original Articles

                Siluriformes,Secuenciación de próxima generación,Peces de agua dulce,Freshwater fish,Marcadores Moleculares,Molecular markers,Next-generation sequencing

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