Complete Chloroplast Genomes of <i>Fagus sylvatica</i> L. Reveal Sequence Conservation in the Inverted Repeat and the Presence of Allelic Variation in NUPTs

• Main Authors: Bartosz Ulaszewski, Joanna Meger, Bagdevi Mishra, Marco Thines, Jarosław Burczyk
• Format: Article
• Language: English
• Published: MDPI AG 2021-08-01
• Series: Genes
• Subjects: complete chloroplast genome; microsatellite; SNP; indel; heteroplasmy; population genomics
• Online Access: https://www.mdpi.com/2073-4425/12/9/1357

Growing amounts of genomic data and more efficient assembly tools advance organelle genomics at an unprecedented scale. Genomic resources are increasingly used for phylogenetic analyses of many plant species, but are less frequently used to investigate within-species variability and phylogeography. In this study, we investigated genetic diversity of <i>Fagus sylvatica,</i> an important broadleaved tree species of European forests, based on complete chloroplast genomes of 18 individuals sampled widely across the species distribution. Our results confirm the hypothesis of a low cpDNA diversity in European beech. The chloroplast genome size was remarkably stable (158,428 ± 37 bp). The polymorphic markers, 12 microsatellites (SSR), four SNPs and one indel, were found only in the single copy regions, while inverted repeat regions were monomorphic both in terms of length and sequence, suggesting highly efficient suppression of mutation. The within-individual analysis of polymorphisms showed >9k of markers which were proportionally present in gene and non-gene areas. However, an investigation of the frequency of alternate alleles revealed that the source of this diversity originated likely from nuclear-encoded plastome remnants (NUPTs). Phylogeographic and Mantel correlation analysis based on the complete chloroplast genomes exhibited clustering of individuals according to geographic distance in the first distance class, suggesting that the novel markers and in particular the cpSSRs could provide a more detailed picture of beech population structure in Central Europe.