Souza, Bruno C.
Cruz, Vanessa P.
Almeida, Talita R. A.
Sales, Joao Braullio L.
Rodrigues-Filho, Luis Fernando S.
Rotundo, Matheus M.
Total Authors: 9
 Univ Estadual Paulista Julio de Mesquita Filho UN, Inst Biociencias, Dept Biol Estrutural & Func, BR-18618689 Botucatu, SP - Brazil
 Univ Estadual Paulista Julio de Mesquita Filho UN, Dept Ciencias Quim & Biol, Inst Biociencias, BR-18618689 Botucatu, SP - Brazil
 Univ Fed Para, Grp Invest Biol Integrada, Ctr Estudos Avancados Biodiversidade, BR-66075750 Belem, Para - Brazil
 Univ Fed Rural Amazonia, Campus Capanema, BR-68600030 Capanema, PA - Brazil
 Univ Fed Rio de Janeiro UFRJ, Lab Biol & Tecnol Pesqueira, BR-21941901 Rio De Janeiro, RJ - Brazil
 Univ Santa Cecilia UNISANTA, Acervo Zool AZUSC, BR-11045907 Santos, SP - Brazil
Total Affiliations: 6
Web of Science Citations:
Rhinoptera bonasus is a bento-pelagic and highly migratory species occurring from southern United States to northern Argentina. Due to overfishing effects, R. bonasus is currently at risk, classified by the IUCN Red List as vulnerable. Considering the lack of molecular data available for R. bonasus, this study aimed to describe the genetic variability and population structure of specimens sampled from three Brazilian coast ecoregions (Amazon ecoregion, Para; Northeastern ecoregion, Pernambuco and Southeastern ecoregion, Rio de Janeiro, Sao Paulo and Santa Catarina), through five polymorphic microsatellite markers. Here testing the panmixia hypothesis for Brazilian ecoregions and test natal philopathy. A total of 69 analyzed specimens revealed individual and significant genetic differentiation between the sampled locations. Phi(ST) (0.12), PCA, DAPC and Bayesian analyses of the genetic population structure revealed at least two distinct genetic R. bonasus groupings. IBD tests were significant, indicating a correlation between genetic and geographical distance among populations, which can be explained by reproductive philopatric behavior. Philopatric behavior associated with R. bonasus mobility may influence the differentiation values observed for all loci in the investigated samples. (AU)