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A novel synthesis of two decades of microsatellite studies on European beech reveals decreasing genetic diversity from glacial refugia

Camilla Stefanini; Katalin Csilléry; Bartosz Ulaszewski; Jarosław Burczyk; Michael E. Schaepman; Meredith C. Schuman
Tree Genetics & Genomes · Vol. 19, Issue 1 · 2023

Abstract

Genetic diversity influences the evolutionary potential of forest trees under changing environmental conditions, thus indirectly the ecosystem services that forests provide. European beech ( Fagus sylvatica L.) is a dominant European forest tree species that increasingly suffers from climate change-related die-back. Here, we conducted a systematic literature review of neutral genetic diversity in European beech and created a meta-data set of expected heterozygosity ( He ) from all past studies providing nuclear microsatellite data. We propose a novel approach, based on population genetic theory and a min–max scaling to make past studies comparable. Using a new microsatellite data set with unprecedented geographic coverage and various re-sampling schemes to mimic common sampling biases, we show the potential and limitations of the scaling approach. The scaled meta-dataset reveals the expected trend of decreasing genetic diversity from glacial refugia across the species range and also supports the hypothesis that different lineages met and admixed north of the European mountain ranges. As a result, we present a map of genetic diversity across the range of European beech which could help to identify seed source populations harboring greater diversity and guide sampling strategies for future genome-wide and functional investigations of genetic variation. Our approach illustrates how to combine information from several nuclear microsatellite data sets to describe patterns of genetic diversity extending beyond the geographic scale or mean number of loci used in each individual study, and thus is a proof-of-concept for synthesizing knowledge from existing studies also in other species.

Bibliographic Information

JournalTree Genetics & Genomes
PublisherSpringer
Publication Date2023-02-01
Publication Year2023
Volume19
Issue1
Document TypeJournal Article
Print ISSN1614-2942
eISSN1614-2950
DOI10.1007/s11295-022-01577-4

Access Information

NARA Access Coverage2005-01-01~Current
Journal Homepagehttps://www.springer.com/journal/11295
Publisher PageOpen Publisher Page
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