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Contribution of range-wide and short-scale chemical soil variation to local adaptation in a tropical montane forest tree

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DataONE2025-06-25 更新2025-07-19 收录
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Local adaptation is a fundamental process that allows populations to thrive in their native environment, often increasing genetic differentiation from neighboring stands. However, detecting the molecular basis and selective factors responsible for local adaptation remains a challenge, particularly in sessile, non-model species with long life cycles, such as forest trees. Local adaptation in trees is not only modeled by climatic factors, but also by soil variation. Such variation depends on dynamic geological and ecological processes that generate a highly heterogeneous selective mosaic that may differentially condition tree adaptation both at the range-wide and local scales. This could be particularly manifest in species inhabiting mountain ranges that were formed by diverse geological events, like sacred fir (Abies religiosa), a conifer endemic to the mountains of central Mexico. Here, we used landscape genomics approaches to investigate how chemical edaphic variation influences the ge..., , # Contribution of range-wide and short-scale chemical soil variation to local adaptation in a tropical montane forest tree Dataset DOI: [10.5061/dryad.np5hqc060](10.5061/dryad.np5hqc060) **Description of the data and file structure** Contribution of range-wide and short-scale chemical soil variation to local adaptation in a tropical montane forest tree **Project Overview** This study explores the relationship between genetic variation and chemical soil environmental heterogeneity across the Trans-Mexican Volcanic Belt (TMVB), focusing on both broad-scale and microenvironmental spatial patterns. Landscape genomics methods are used to investigate how soil conditions influence local adaptation and genetic structure. **Data Files** **1. Genotype-Pobl-TMVB.txt** Description: Genome-wide SNP data from individuals sampled across the entire Trans-Mexican Volcanic Belt. Purpose: Used for landscape-scale analyses of genetic structure and genotype-environment associations. **2. Genotype-...,
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2025-06-26
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