Application of MaxEnt Modeling and HRM Analysis to Support the Conservation and Domestication of Gevuina avellana Mol. in Central Chile

• Published in: Plants (Basel) Vol. 11; no. 20; p. 2803
• Main Authors: Moya-Moraga, Mario René, Pérez-Ruíz, César
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 21-10-2022; MDPI
• Subjects: Biodiversity; Climate change; Climate effects; Climate models; Cloning; Development strategies; Discriminant analysis; Domestication; Environmental policy; EST-SSR markers; Flowers & plants; Fruits; Genetic analysis; Genetic diversity; Genetic structure; Gevuina avellana Mol; Glaucoma avellana; Global climate; Global climate models; high-resolution melting analysis (HRM); Maximum entropy method; maximum entropy modeling (MaxEnt); Native species; Natural populations; Phylogenetics; Plant reproduction; Population genetics; Populations; Prediction models; Reforestation; Remote sensing; Sustainable development; Chile; maximum entropy modeling (MaxEnt); high-resolution melting analysis (HRM); EST-SSR markers; Gevuina avellana Mol
• ISSN: 2223-7747; 2223-7747
• DOI: 10.3390/plants11202803

The Chilean hazelnut (Gevuina avellana Mol., Proteaceae) is a native tree of Chile and Argentina of edible fruit-type nut. We applied two approaches to contribute to the development of strategies for mitigation of the effects of climate change and anthropic activities in G. avellana. It corresponds to the first report where both tools are integrated, the MaxEnt model to predict the current and future potential distribution coupled with High-Resolution Melting Analysis (HRM) to assess its genetic diversity and understand how the species would respond to these changes. Two global climate models: CNRM-CM6-1 and MIROC-ES2L for four Shared Socioeconomic Pathways: 126, 245, 370, and 585 (2021−2040; 2061−2080) were evaluated. The annual mean temperature (43.7%) and water steam (23.4%) were the key factors for the distribution current of G. avellana (AUC = 0.953). The future prediction model shows to the year 2040 those habitat range decreases at 50% (AUC = 0.918). The genetic structure was investigated in seven natural populations using eight EST-SSR markers, showing a percentage of polymorphic loci between 18.69 and 55.14% and low genetic differentiation between populations (Fst = 0.052; p < 0.001). According to the discriminant analysis of principal components (DAPC) we identified 10 genetic populations. We conclude that high-priority areas for protection correspond to Los Avellanos and Punta de Águila populations due to their greater genetic diversity and allelic richness.