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Genetic differentiation in the populations of red piranha, Pygocentrus nattereri Kner (1860) (Characiformes: Serrasalminae), from the river basins of northeastern Brazil

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Title
Genetic differentiation in the populations of red piranha, Pygocentrus nattereri Kner (1860) (Characiformes: Serrasalminae), from the river basins of northeastern Brazil
Published in
Brazilian Journal of Biology, November 2015
DOI 10.1590/1519-6984.00214
Pubmed ID
Authors

L. A. Luz, L. L. Reis, I. Sampaio, M. C. Barros, E. Fraga

Abstract

AbstractThe red piranha, Pygocentrus nattereri, is an important resource for artisanal and commercial fisheries. The present study determines the genetic differentiation among P. nattereri populations from the northeastern Brazilian state of Maranhão. The DNA was isolated using a standard phenol-chloroform protocol and the Control Region was amplified by PCR. The PCR products were sequenced using the didesoxyterminal method. A sequence of 1039 bps was obtained from the Control Region of 60 specimens, which presented 33 polymorphic sites, 41 haplotypes, һ =0.978 and π =0.009. The neutrality tests (D and Fs) were significant (P < 0.05) for most of the populations analyzed. The AMOVA indicated that most of the molecular variation (72%) arises between groups. The fixation index was highly significant (FST = 0.707, P < 0.00001). The phylogenetic analyses indicated that the specimens represented a monophyletic group. Genetic distances between populations varied from 0.8% to 1.9%, and were <0.5% within populations. The degree of genetic differentiation found among the stocks of P. nattereriindicates the need for the development of independent management plans for the different river basins in order to preserve the genetic variability of their populations.

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Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Student > Master 5 22%
Student > Bachelor 3 13%
Researcher 3 13%
Student > Postgraduate 2 9%
Other 4 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 57%
Biochemistry, Genetics and Molecular Biology 6 26%
Environmental Science 2 9%
Business, Management and Accounting 1 4%
Social Sciences 1 4%
Other 0 0%