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Studies on genetic diversity, gene flow and landscape genetic in Avicennia marina: Spatial PCA, Random Forest, and phylogeography approaches.
Malekmohammadi, Laleh; Sheidai, Masoud; Ghahremaninejad, Farrokh; Danehkar, Afshin; Koohdar, Fahimeh.
Afiliação
  • Malekmohammadi L; Department of Plant Sciences and Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.
  • Sheidai M; Department of Plant Sciences and Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran. msheidai@sbu.ac.ir.
  • Ghahremaninejad F; Department of Plant Sciences, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran.
  • Danehkar A; Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran.
  • Koohdar F; Department of Plant Sciences and Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.
BMC Plant Biol ; 23(1): 459, 2023 Oct 03.
Article em En | MEDLINE | ID: mdl-37789283
ABSTRACT
Mangrove forests grow in coastal areas, lagoons, estuaries, and deltas and form the main vegetation in tidal and saline wetlands. Due to the mankind activities and also changes in climate, these forests face degradations and probably extinction in some areas. Avicennia marina is one of the most distributed mangrove species throughout the world. The populations of A. marina occur in a limited region in southern parts of Iran. Very few genetic and spatial analyses are available on these plants from our country. Therefore, the present study was planned to provide detailed information on Avicennia marina populations with regard to genetic diversity, gene flow versus genetic isolation, effects of spatial variables on connectivity and structuring the genetic content of trees populations and also identifying adaptive genetic regions in respond too spatial variables. We used SCoT molecular markers for genetic analyses and utilized different computational approaches for population genetics and landscapes analyses. The results of present study showed a low to moderate genetic diversity in the studied populations and presence of significant Fst values among them. Genetic fragmentation was also observed within each province studied. A limited gene flow was noticed among neighboring populations within a particular province. One population was almost completely isolated from the gene flow with other populations and had peculiar genetic content.Spatial PCA analysis revealed both significant global and local genetic structuring in the studied populations. Spatial variables like humidity, longitude and altitude were the most important spatial features affecting genetic structure in these populations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Avicennia Tipo de estudo: Clinical_trials / Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Avicennia Tipo de estudo: Clinical_trials / Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article