| Grant number: | 20/00203-2 |
| Support Opportunities: | Scholarships in Brazil - Doctorate (Direct) |
| Start date: | March 01, 2020 |
| End date: | December 10, 2023 |
| Field of knowledge: | Biological Sciences - Ecology |
| Principal Investigator: | Anete Pereira de Souza |
| Grantee: | Michele Fernandes da Silva |
| Host Institution: | Centro de Biologia Molecular e Engenharia Genética (CBMEG). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil |
| Associated scholarship(s): | 22/04059-9 - Expanding the comprehension of molecular responses to salinity in the extremophile Schrenkiella parvula through global gene co-expression networks, BE.EP.DD |
Abstract One of the most threatened ecosystems by global climate change, Mangrove, is dominated by unique plants, distributed at the continent-ocean interface of tropical and subtropical latitudes of the globe and has great socioeconomic and ecological importance. Nevertheless, in recent decades, this ecosystem has been greatly affected by the intense urbanization and industrialization of coastal areas, threatening its future. In this scenario, the identification of abiotic factors that are determinant in the distribution of mangrove tree diversity can provide important information for conservation plans and for the prediction of possible consequences of climate change for species that dominate this ecosystem. Therefore, the proposed project aims to identify the relative contribution of environmental, geographic, land use, and land cover variables on the structure of neutral and non-neutral genetic diversity of two Avicennia mangrove species along the Atlantic Coast of the South American Continent. We will use Single-Nucleotide Polymorphism (SNP) data distributed throughout the genome of individuals to be sampled along the Brazilian Coast, as well as climate, oceanographic, land use and land cover data available in a public database using a landscape genomics approach. Through the obtained results, we expect to generate information that may contribute to the prediction of species responses to climate change and to the definition of management and recovery strategies for degraded mangroves. (AU) | |
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