| Literature DB >> 29162552 |
Nélida Padilla-García1, Blanca M Rojas-Andrés2, Noemí López-González2, Mariana Castro3, Sílvia Castro3, João Loureiro3, Dirk C Albach4, Nathalie Machon5, M Montserrat Martínez-Ortega2.
Abstract
A reliable taxonomic framework and the identification of evolutionary lineages are essential for effective decisions in conservation biodiversity programs. However, phylogenetic reconstruction becomes extremely difficult when polyploidy and hybridization are involved. Veronica subsection Pentasepalae is a diploid-polyploid complex of ca. 20 species with ploidy levels ranging from 2x to 10x. Here, DNA-ploidy level estimations and AFLP fingerprinting were used to determine the evolutionary history, and species boundaries were reviewed in an integrated approach including also previous data (mainly morphology and sequence-based phylogenetic reconstructions). Molecular analyses were performed for 243 individuals from 95 populations, including for the first time all taxa currently recognized within the subsection. Phylogenetic reconstruction identified four main groups corresponding almost completely to the four clusters identified by genetic structure analyses. Multiple autopolyploidization events have occurred in the tetraploid V. satureiifolia giving rise to octoploid entities in central Europe and north of Spain, whereas hybridization is demonstrated to have occurred in several populations from the Balkan Peninsula. Furthermore, our study has established the taxonomic status of taxa, for the most part recovered as monophyletic. Cryptic taxa within the group have been identified, and a new species, Veronica dalmatica, is fully described. This study highlights the implications of polyploidy in species delimitation, and illustrates the importance to conserve polyploid populations as potential sources of diversification due to evolutionary significance of genome duplications in plant evolution.Entities:
Keywords: AFLPs; Autopolyploidy; Hybridization; Pentasepalae; Phylogeny; Veronica dalmatica
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Year: 2017 PMID: 29162552 DOI: 10.1016/j.ympev.2017.11.007
Source DB: PubMed Journal: Mol Phylogenet Evol ISSN: 1055-7903 Impact factor: 4.286