Yazar "Ertekin, Alaattin Selcuk" seçeneğine göre listele

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    A new section of Silene (Caryophyllaceae) including a new species from South Anatolia, Turkey
    (Magnolia Press, 2014) Aydin, Zeynep; Ertekin, Alaattin Selcuk; Langstrom, Elisabeth; Oxelman, Bengt
    Silene section Cryptoneurae (Caryophyllaceae) and S. ertekinii from Western Antalya, Turkey, are described as new taxa on the basis of morphological and molecular investigations. Nuclear ITS and chloroplast rps16 DNA sequences clearly support the recognition of the new section. Inclusiveness and characterization of the new section is discussed and described, and a key for the included species is provided. Diagnostic characters of the new species S. ertekinii are given and its relation to the other species of the section is discussed.
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    Species delimitation without prior knowledge: DISSECT reveals extensive cryptic speciation in the Silene aegyptiaca complex (Caryophyllaceae)
    (Academic Press Inc Elsevier Science, 2016) Toprak, Zeynep; Pfeil, Bernard E.; Jones, Graham; Marcussen, Thomas; Ertekin, Alaattin Selcuk; Oxelman, Bengt
    Species delimitation is a major focus of biosystematics. In recent years, considerable progress has been achieved with the development of the multispecies coalescent (MSC) model, where species constitute the branches of the species tree or network. However, researchers are faced with the limitation that the MSC method of choice often requires a priori assignment of individuals to species. This not only introduces subjectivitiy into the analyses, but may also lead to meaningless species tree hypotheses, if the allele-to-species assignments are inaccurate. DISSECT is a recently introduced method that does not require a priori allele-to-species assignments, but instead examines the posterior probabilities of groupings (clusterings) of individuals under study. Using the DISSECT approach, we analysed genetic data from 75 individual plants belonging to the Silene aegyptiaca species complex that has previously been divided into 3-5 species. Marginal likelihood estimates from *BEAST analyses, run with predefined species classifications, strongly favour those compatible with the DISSECT result over those from morphology- and geography-based taxonomy. We found at least nine species, including several cryptic ones, for which no clear geographical or morphological patterns are correlated. However, the limited data and the possibility of unmodelled processes mean there is still much uncertainty about the true number of MSC species, and for taxonomic purposes, other criteria might be relevant. Nevertheless, we argue that the approach signifies an important step towards objective and testable species delimitations in any organismal group. In particular, it makes it possible to avoid biologically irrelevant species classifications. (C) 2016 Elsevier Inc. All rights reserved.