@ARTICLE{TreeBASE2Ref15258,
author = {Nicolas Devos and S. H. Oh and Olivier Rasp? and Daniel Tyteca and A. L. Jacquemart},
title = {The evolution of Dactylorhiza (Orchidaceae) allotetraploid complex: insights from nrDNA sequences and cpDNA PCR-RFLP data},
year = {2005},
keywords = {},
doi = {},
url = {},
pmid = {},
journal = {Molecular Phylogenetics and Evolution},
volume = {},
number = {},
pages = {},
abstract = {Sequence data from a portion of the external transcribed spacer (ETS) and from the internal transcribed spacers (ITS1 and ITS2) of 18S-26S nuclear ribosomal DNA were used together with chloroplastic DNA PCR-RFLP data to unravel patterns of allotetraploid speciation within the Western European Dactylorhiza polyploid complex. A maximum likelihood tree based on combined ETS and ITS sequences suggests that the Western European Dactylorhiza allotetraploids have evolved by hybridization between four main diploid lineages. Cloned sequences and the topology of the ITS plus ETS tree indicate that the allotetraploid species D. elata, D. brennensis, and D. sphagnicola have originated from the tetraploid D. maculata together with the diploid D. incarnata lineage, while D. majalis and D. angustata seem to have evolved by hybridization between the D. fuchsii s.str and D. incarnata lineages. Finally, the diploid D. saccifera lineage seems to have been involved together with the D. incarnata lineage in the formation of D. praetermissa. The observed congruence between the chloroplastic tree and the ITS/ETS tree suggests a directional evolution of the nrDNA after polyploidization in favor of the maternal genome. Considered together with morphological, biogeographical and ecological standpoints, the molecular analyses would incline us to recognize four species within the investigated complex, namely D. majalis, D. praetermissa, D. elata and D. sphagnicola.}
}
Taxa for tree 2350 of Study 1459
Citation title:
"The evolution of Dactylorhiza (Orchidaceae) allotetraploid complex: insights from nrDNA sequences and cpDNA PCR-RFLP data".
This study was previously identified under the legacy study ID S1397
(Status: Published).
Taxa
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