Literature DB >> 31218542

Development and characterization of 19 polymorphic microsatellite loci from the Red-cowled Cardinal (Paroaria dominicana, Passeriformes, Aves) using next-generation sequencing.

Ana Laura Rosa1, Cássia Alves Lima-Rezende1, Fernando Pacheco Rodrigues1, Renato Caparroz2,3.   

Abstract

The Red-cowled Cardinal (Paroaria dominicana) is an endemic passerine of the Caatinga biome in Brazil, and is one of the most traded passerines in the country. Illegal trade can have serious impacts on wild populations, such as reduced population sizes, the introduction of the species to areas outside their historical range or mixing individuals from different populations. Microsatellites constitute an important tool for population genetics and forensics studies, and hold great potential to help authorities manage illegal trafficking and inspect commercial breeders. We developed new microsatellite loci using massive parallel sequencing and characterized them in 23 seized Red-cowled Cardinals with unknown geographic origin. The DNA sequencing generated 2,068,684 paired-reads of which we identified 10,322 tri- to hexanucleotide loci. We selected 30 loci for amplification and polymorphism tests, of which 21 successfully amplified and 19 were polymorphic. The number of alleles ranged from 7 to 18 and the mean expected heterozygosity was 0.863. Six loci deviated from Hardy-Weinberg equilibrium probably due to null alleles and/or the Wahlund effect. Polymorphic loci in Hardy-Weinberg equilibrium showed low identity probability and high paternity exclusion probability. Our results indicate that this new set of microsatellite loci constitutes an important tool for both population genetic and forensic studies, with ultimate potential for assisting authorities in managing animal victims of illegal trafficking and the inspection of commercial breeders of the Red-cowled Cardinal.

Entities:  

Keywords:  Assignment test; Caatinga; Conservation; Forensic; Illegal trade; Probability of identity

Mesh:

Year:  2019        PMID: 31218542     DOI: 10.1007/s11033-019-04919-z

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  12 in total

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Journal:  Nat Biotechnol       Date:  2000-02       Impact factor: 54.908

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Journal:  Ecol Lett       Date:  2006-05       Impact factor: 9.492

3.  Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment.

Authors:  Steven T Kalinowski; Mark L Taper; Tristan C Marshall
Journal:  Mol Ecol       Date:  2007-03       Impact factor: 6.185

Review 4.  DNA detective: a review of molecular approaches to wildlife forensics.

Authors:  E A Alacs; A Georges; N N FitzSimmons; J Robertson
Journal:  Forensic Sci Med Pathol       Date:  2009-12-16       Impact factor: 2.007

5.  ANALYZING TABLES OF STATISTICAL TESTS.

Authors:  William R Rice
Journal:  Evolution       Date:  1989-01       Impact factor: 3.694

6.  Testing heterozygote excess and deficiency.

Authors:  F Rousset; M Raymond
Journal:  Genetics       Date:  1995-08       Impact factor: 4.562

7.  Manipulation of FASTQ data with Galaxy.

Authors:  Daniel Blankenberg; Assaf Gordon; Gregory Von Kuster; Nathan Coraor; James Taylor; Anton Nekrutenko
Journal:  Bioinformatics       Date:  2010-06-18       Impact factor: 6.937

8.  The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update.

Authors:  Enis Afgan; Dannon Baker; Marius van den Beek; Daniel Blankenberg; Dave Bouvier; Martin Čech; John Chilton; Dave Clements; Nate Coraor; Carl Eberhard; Björn Grüning; Aysam Guerler; Jennifer Hillman-Jackson; Greg Von Kuster; Eric Rasche; Nicola Soranzo; Nitesh Turaga; James Taylor; Anton Nekrutenko; Jeremy Goecks
Journal:  Nucleic Acids Res       Date:  2016-05-02       Impact factor: 16.971

9.  Testing of microsatellite multiplexes for individual identification of Cape Parrots (Poicephalus robustus): paternity testing and monitoring trade.

Authors:  Willem G Coetzer; Colleen T Downs; Mike R Perrin; Sandi Willows-Munro
Journal:  PeerJ       Date:  2017-03-21       Impact factor: 2.984

10.  MISA-web: a web server for microsatellite prediction.

Authors:  Sebastian Beier; Thomas Thiel; Thomas Münch; Uwe Scholz; Martin Mascher
Journal:  Bioinformatics       Date:  2017-08-15       Impact factor: 6.937

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