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      Microsatellite Markers for Bearded Capuchins (Sapajus libidinosus): Transferability and Characterization

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          Abstract

          Abstract Natural Sapajus libidinosus populations are in continuous decline due to fragmentation, habitat loss, and the illegal pet trade. They live in Caatinga scrub forests, which already lost over 50% of their original cover. The lack of studies on S. libidinosus population genetics means that we do not know how they are being affected by this striking habitat loss and other anthropogenic disturbances. Polymorphic markers are not available for the study of S. libidinosus diversity and population genetics. Thus, here we aimed to test the transferability of 14 microsatellite markers to S. libidinosus. These microsatellites were previously isolated from Cebus capucinus (white-faced capuchin), species belonging to the same subfamily (Cebinae) as the study species. We found that six of the tested microsatellite markers (tetra-nucleotide) were cross-amplified in our target species. All loci were polymorphic. The number of alleles varied from 4 to 7, and the expected heterozygosity ranged from 0.588 to 0.869. The microsatellite markers transferred to S. libidinosus and characterised in our study will be valuable tools to evaluate the genetic variability of both wild and captive populations. They will considerably reduce the costs of microsatellite isolations, helping to prioritise currently limited research and conservation budgets in Brazil.

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          Most cited references54

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          Geneious Basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data

          Summary: The two main functions of bioinformatics are the organization and analysis of biological data using computational resources. Geneious Basic has been designed to be an easy-to-use and flexible desktop software application framework for the organization and analysis of biological data, with a focus on molecular sequences and related data types. It integrates numerous industry-standard discovery analysis tools, with interactive visualizations to generate publication-ready images. One key contribution to researchers in the life sciences is the Geneious public application programming interface (API) that affords the ability to leverage the existing framework of the Geneious Basic software platform for virtually unlimited extension and customization. The result is an increase in the speed and quality of development of computation tools for the life sciences, due to the functionality and graphical user interface available to the developer through the public API. Geneious Basic represents an ideal platform for the bioinformatics community to leverage existing components and to integrate their own specific requirements for the discovery, analysis and visualization of biological data. Availability and implementation: Binaries and public API freely available for download at http://www.geneious.com/basic, implemented in Java and supported on Linux, Apple OSX and MS Windows. The software is also available from the Bio-Linux package repository at http://nebc.nerc.ac.uk/news/geneiousonbl. Contact: peter@biomatters.com
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            Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment.

            Genotypes are frequently used to identify parentage. Such analysis is notoriously vulnerable to genotyping error, and there is ongoing debate regarding how to solve this problem. Many scientists have used the computer program CERVUS to estimate parentage, and have taken advantage of its option to allow for genotyping error. In this study, we show that the likelihood equations used by versions 1.0 and 2.0 of CERVUS to accommodate genotyping error miscalculate the probability of observing an erroneous genotype. Computer simulation and reanalysis of paternity in Rum red deer show that correcting this error increases success in paternity assignment, and that there is a clear benefit to accommodating genotyping errors when errors are present. A new version of CERVUS (3.0) implementing the corrected likelihood equations is available at http://www.fieldgenetics.com.
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              Estimating the probability of identity among genotypes in natural populations: cautions and guidelines.

              Individual identification using DNA fingerprinting methods is emerging as a critical tool in conservation genetics and molecular ecology. Statistical methods that estimate the probability of sampling identical genotypes using theoretical equations generally assume random associations between alleles within and among loci. These calculations are probably inaccurate for many animal and plant populations due to population substructure. We evaluated the accuracy of a probability of identity (P(ID)) estimation by comparing the observed and expected P(ID), using large nuclear DNA microsatellite data sets from three endangered species: the grey wolf (Canis lupus), the brown bear (Ursus arctos), and the Australian northern hairy-nosed wombat (Lasiorinyus krefftii). The theoretical estimates of P(ID) were consistently lower than the observed P(ID), and can differ by as much as three orders of magnitude. To help researchers and managers avoid potential problems associated with this bias, we introduce an equation for P(ID) between sibs. This equation provides an estimator that can be used as a conservative upper bound for the probability of observing identical multilocus genotypes between two individuals sampled from a population. We suggest computing the actual observed P(ID) when possible and give general guidelines for the number of codominant and dominant marker loci required to achieve a reasonably low P(ID) (e.g. 0.01-0.0001).
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                Author and article information

                Journal
                aabc
                Anais da Academia Brasileira de Ciências
                An. Acad. Bras. Ciênc.
                Academia Brasileira de Ciências (Rio de Janeiro, RJ, Brazil )
                0001-3765
                1678-2690
                2021
                : 93
                : 2
                : e20190802
                Affiliations
                [2] Ilhéus Bahia orgnameUniversidade Estadual de Santa Cruz orgdiv1Laboratório de Marcadores Moleculares Brazil
                [1] Recife Pernambuco orgnameUniversidade Federal de Pernambuco orgdiv1Programa de Pós-Graduação em Biologia Animal Brazil
                [3] Salford orgnameUniversity of Salford orgdiv1School of Environment and Life Sciences United Kingdom
                Article
                S0001-37652021000300801 S0001-3765(21)09300200801
                10.1590/0001-3765202120190802
                7ab931a7-0a3e-44a0-9257-74a14ec2a4d5

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

                History
                : 07 November 2019
                : 22 July 2019
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 54, Pages: 0
                Product

                SciELO Brazil

                Categories
                Cellular and Molecular Biology

                primates,faecal samples,DNA extraction,Cross-amplification,molecular markers

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