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ArticleMolecular biology reports2025

Gene-ecological studies of critically isolated fern Pteris dentata Forssk.: genetic diversity, environmental adaptation, and future distribution modeling (SDM).

Masoud Sheidai, Maedeh Alaeifar, Fahimeh Koohdar, Raheleh Tabaripour

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Article in Molecular biology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 authors.

Masoud SheidaiDepartment of Plant Sciences and Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran. msheidai@sbu.ac.ir.
Maedeh AlaeifarDepartment of Plant Sciences and Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.
Fahimeh KoohdarDepartment of Plant Sciences and Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.
Raheleh TabaripourDepartment of Plant Sciences, Faculty of Biological Sciences, Alzahra University, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the ecological and genetic characteristics of narrowly distributed species like Pteris dentata is crucial for effective conservation planning. P. dentata, a narrowly distributed fern species that prefers moist, shaded environments, is threatened by habitat degradation associated with urban expansion, climate change, and invasive species-highlighting the urgent need for its conservation. METHODS AND

resultsThis study investigated genetic diversity, landscape genetics, adaptive potential, and the landscape adaptive index in two northern Iranian populations of P. dentata. Despite overall low genetic diversity, the populations exhibited significant differentiation in genetic composition and morpho-anatomical traits, primarily shaped by spatial factors. Patterns of isolation by distance (IBD) and isolation by environment (IBE) were both detected. Variation in adaptive potential and the landscape adaptive index indicated population-specific responses to environmental and climatic stressors. Advanced modeling techniques, including Structural Equation Modeling (SEM) and Random Forest (RF), revealed complex relationships among environmental, climatic, edaphic, and genetic variables influencing adaptation.

conclusionsSpecies distribution modeling predicts a substantial decline in suitable habitat for P. dentata in Iran by 2050, driven by climate change-emphasizing the need for proactive conservation strategies.

Indexed as

Adaptation, PhysiologicalGenetic VariationPterisClimate ChangeConservation of Natural ResourcesEcosystemFernsGenetics, PopulationIranMicrosatellite RepeatsLandscape geneticsLocal adaptationPteris dentataRandom forestRDAStructural equation modeling

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