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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/1152555
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- Title
- Genetic characterization of native and introduced populations of the neotropical cichlid genus Cichla in Brazil
- Related
- Genetics and Molecular Biology, Vol. 32, No. 3, (2009), p.601-607
- DOI
- 10.1590/S1415-47572009005000060
- Publisher
- Sociedade Brasileira de Genetica
- Date
- 2009
- Author/Creator
- De Carvalho, Daniel Cardoso
- Author/Creator
- De Oliveira, Denise Aparecida Andrade
- Author/Creator
- Dos Santos, Jose Enemir
- Author/Creator
- Teske, Peter
- Author/Creator
- Beheregaray, Luciano
- Author/Creator
- Schneider, Horacio
- Author/Creator
- Sampaio, I
- Description
- A molecular phylogenetic analysis based on mitochondrial 16S ribosomal DNA and Control Region sequences from native and introduced populations was undertaken, in order to characterize the introduction of Cichla(peacock bass or tucunaré) species in Brazil. Mitochondrial DNA haplotypes found in introduced fish from Minas Gerais state (southeastern Brazil) clustered only with those from native species of the Tocantins River (Cichla piquiti and C. kelberi), thereby suggesting a single or, at most, few translocation acts in this area, even though with fish from the same source-population. Our study contributes to an understanding of the introduction of Cichlain regions of Brazil outside the Amazon basin, and adds phylogenetic data to the recently describe Cichla species, endemic from the Tocantins-Araguaia basin.
- Description
- 7 page(s)
- Subject Keyword
- 060400 Genetics
- Subject Keyword
- Amazon basin
- Subject Keyword
- Invasive populations
- Subject Keyword
- Minas Gerais
- Subject Keyword
- mtDNA
- Subject Keyword
- Peacock bass or tucunaré
- Resource Type
- journal article
- Organisation
- Macquarie University. Department of Biological Sciences
- Identifier
- http://hdl.handle.net/1959.14/1152555
- Identifier
- mq:55873
- Identifier
- ISSN:1415-4757
- Identifier
- mq-rm-2009003335
- Language
- eng
- Reviewed
Macquarie University ResearchOnline
