Comparative mitogenomic analyses of Amazona parrots and Psittaciformes

Amazon parrots are long-lived birds with highly developed cognitive skills, including vocal learning. Several parrot mitogenomes have been sequenced, but important aspects of their organization and evolution are not fully understood or have limited experimental support. The main aim of the present s...

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Bibliographic Details
Published in:Genetics and molecular biology 2018-07, Vol.41 (3), p.593-604
Main Authors: Lima, Nicholas Costa Barroso, Soares, André Elias Rodrigues, Almeida, Luiz Gonzaga de Paula, Costa, Igor Rodrigues da, Sato, Fernanda Midori, Schneider, Patricia, Aleixo, Alexandre, Schneider, Maria Paula, Santos, Fabrício R, Mello, Claudio V, Miyaki, Cristina, Vasconcelos, Ana Tereza R, Prosdocimi, Francisco
Format: Article
Language:English
Subjects:
Amazona
Animal Genetics
BIOCHEMISTRY & MOLECULAR BIOLOGY
Biological evolution
Birds
Cognition & reasoning
Cognitive ability
control region
GENETICS & HEREDITY
mitogenomics
Next-generation-sequencing
Parrots
Psittacidae
Psittaciformes
Vocalization behavior
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Summary:Amazon parrots are long-lived birds with highly developed cognitive skills, including vocal learning. Several parrot mitogenomes have been sequenced, but important aspects of their organization and evolution are not fully understood or have limited experimental support. The main aim of the present study was to describe the mitogenome of the blue-fronted Amazon, Amazona aestiva, and compare it to other mitogenomes from the genus Amazona and the order Psittaciformes. We observed that mitogenomes are highly conserved among Amazon parrots, and a detailed analysis of their duplicated control regions revealed conserved blocks. Population level analyses indicated that the specimen analyzed here seems to be close to A. aestiva individuals from Bahia state. Evolutionary relationships of 41 Psittaciformes species and three outgroups were inferred by BEAST. All relationships were retrieved with high support.
ISSN:1415-4757
1678-4685
1678-4685
DOI:10.1590/1678-4685-GMB-2017-0023