Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/22808
Title: What does population structure analysis reveal about the Pterostylis longifolia complex (Orchidaceae)?
Contributor(s): Janes, Jasmine  (author)orcid ; Steane, Dorothy A (author); Vaillancourt, Rene E (author)
Publication Date: 2012
Open Access: Yes
DOI: 10.1002/ece3.376Open Access Link
Handle Link: https://hdl.handle.net/1959.11/22808
Abstract: Morphologically similar groups of species are common and pose significant challenges for taxonomists. Differences in approaches to classifying unique species can result in some species being overlooked, whereas others are wrongly conserved. The genetic diversity and population structure of the Pterostylis longifolia complex (Orchidaceae) in Tasmania was investigated to determine if four species, and potential hybrids, could be distinguished through genomic AFLP and chloroplast restriction-fragment-length polymorphism (RFLP) markers. Analysis of molecular variance (AMOVA) results indicated that little genetic variation was present among taxa, whereas PCoA analyses revealed genetic variation at a regional scale irrespective of taxa. Population genetic structure analyses identified three clusters that correspond to regional genetic and single taxon-specific phenotypic variation. The results from this study suggest that "longifolia" species have persisted throughout the last glacial maximum in Tasmania and that the complex may be best treated as a single taxon with several morphotypes. These results could have serious evolutionary and conservation implications as taxonomic changes could result in the instatement of a single, widespread taxon in which rarer morphotypes are not protected.
Publication Type: Journal Article
Grant Details: ARC/DP0557260
Source of Publication: Ecology and Evolution, 2(11), p. 2631-2644
Publisher: John Wiley & Sons Ltd
Place of Publication: United Kingdom
ISSN: 2045-7758
Fields of Research (FoR) 2008: 060411 Population, Ecological and Evolutionary Genetics
Fields of Research (FoR) 2020: 310599 Genetics not elsewhere classified
Socio-Economic Objective (SEO) 2008: 961306 Remnant Vegetation and Protected Conservation Areas in Forest and Woodlands Environments
960806 Forest and Woodlands Flora, Fauna and Biodiversity
Socio-Economic Objective (SEO) 2020: 180604 Rehabilitation or conservation of terrestrial environments
180606 Terrestrial biodiversity
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science

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