Data/hora: 06/06/2024 00:53:58

Provedor de dados: | 74
País: | Brazil
Título: | In silico identification and characterization of novel microsatellite loci for the Blue-and-yellow Macaw Ara ararauna (Linnaeus, 1758) (Psittaciformes, Psittacidae)
Autores: | Lima-Rezende,Cássia Alves; Fernandes,Gislaine Aparecida; Silva,Helder Elias da; Dobkowski-Marinho,Sarah; Santos,Victor Fernandes; Rodrigues,Fernando Pacheco; Caparroz,Renato.
Data: | 2019-03-01
Ano: | 2019
Palavras-chave: | Captive breeding; Illegal wildlife trade; Parentage; Psittacidae; Wildlife forensics.
Resumo: | Abstract The illegal trade is a major threat to many bird species, and parrots are common victims of this activity. Domestic and international pet markets are interested on different parrot species, such as the Blue-and-yellow Macaw (Ara ararauna). This South American macaw is not globally threatened, but is under protection from over-exploitation. This study aimed to identify and characterize novel microsatellite loci for population and parentage analysis of A. ararauna. Scaffold sequences of Ara macao available in the NCBI database were used for microsatellite searches using MsatCommander software. We tested a total of 28 loci, from which 25 were polymorphic, one was monomorphic, and two did not generated amplification products. For polymorphic loci, the mean number of alleles was 8.24 (4 – 15 alleles per locus), the observed heterozygosity ranged from 0.333 to 0.917, and the expected heterozygosity from 0.353 to 0.890. The paternity exclusion probability and identity probability were highly discriminatory. Thus, these novel microsatellite markers can be useful for population assignment and paternity tests, helping the authorities to manage macaws from the illegal trafficking and control commercial breeders.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572019000100068
Editor: | Sociedade Brasileira de Genética
Relação: | 10.1590/1678-4685-gmb-2017-0338
Formato: | text/html
Fonte: | Genetics and Molecular Biology  v.42 n.1 2019
Fonte: | info:eu-repo/semantics/openAccess