Prospection and assessment of genetic resources of oysters in mangrove areas in the southeast coast of Brazil

• Grant number: 16/16108-3
• Support Opportunities: Regular Research Grants
• Duration: August 01, 2017 - January 31, 2021
• Field of knowledge: Agronomical Sciences - Fishery Resources and Fishery Engineering - Marine Fishing Resources
• Principal Investigator: Márcia Santos Nunes Galvão
• Grantee: Márcia Santos Nunes Galvão
• Host Institution: Instituto de Pesca. Agência Paulista de Tecnologia dos Agronegócios (APTA). Secretaria de Agricultura e Abastecimento (São Paulo - Estado). São Paulo , SP, Brazil
• Associated researchers: Alexandre Wagner Silva Hilsdorf ; Fernando Stopato da Fonseca ; Helcio Luis de Almeida Marques

Abstract

To the preservation and effective use of genetic resources, it is necessary to know the taxonomic status and how the genetic diversity is distributed among populations. This research aims to identify native and exotic oysters in mangrove areas of Southeast coast of Brazil, to isolate a larger number of SSR loci and to know the genetic diversity of C. brasiliana. We will employ the DNA barcode, based on mitochondrial gene cytochrome c oxidase subunit I (COI) to identify oysters' species in different sites of Southeast coast of Brazil. Due the economical importance of Crassostrea brasiliana oyster, microsatellite markers (SSR) will be developed through next-generation sequencing, using Illumina technology. After primers validation and polymorphism analysis, the SSR will be used to evaluate the genetic diversity and structure of wild populations of C. brasiliana oysters of the Southeast coast of Brazil. About 250 specimens from five estuaries of the São Paulo, Rio de Janeiro and Espírito Santo States, will be analyzed. The samples genotyping will be performed in capillary sequencer 4300 DNA Analyser Li-Cor. The genetic structure and levels of differentiation among sample sites will be estimate by F statistics, using the pairwaise analysis as well as AMOVA. To verify the existence of association among genetic and geographic distances, it will be applied the Mantel test in the Genepop v. 1.2 software. The rates of gene flow among the different sites will be estimated through the coalescent approach of maximum likelihood using the Migrate-N software. This study may contribute for further studies of hatchery production associated with genetic improvement programs. (AU)