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    A new record for the Flora of Turkey, Hedysarum singarense Boiss. & Hausskn. (Fabaceae)
    (Uğur ÇAKILCIOĞLU, 2018) Hoşgören, Hülya; Ertekin, Alaattin Selçuk
    In this study, Hedysarum singarense Boiss. & Hausskn. species whose presence is unknown in Turkey before have been studied with their systematic and morphological characteristics. The species collected from the Southeastern Anatolia Region has been identified as a new record for the Flora of Turkey. In the study, the description, designation key, distribution map and pictures are given.
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    Diyarbakır ili Lathyrus L. türleri üzerinde sistematik ve morfolojik bir çalışma
    (2015) Ertekin, Alaattin Selçuk
    [Özet Yok]
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    Evaluation of the taxonomy and conservation status of Podonosma sintenisii (Boraginaceae)
    (Nature Research Centre, 2024) Kaya, Ömer Faruk; Ertekin, Alaattin Selçuk
    The current taxonomic status of an endemic species, Podonosma sintenisii, is discussed, and its morphology is compared with that of the closely related species Podonosma orientalis. Nutlet, leaf, and pollen micrograp-hs of the species are presented using scanning electron microscopy. The identification key and geographical distribution map of Podonosma sintenisii and related species are presented, and the threat category is defined according to IUCN.
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    Marginal Likelihood Estimate Comparisons to Obtain Optimal Species Delimitations in Silene sect. Cryptoneurae (Caryophyllaceae)
    (PUBLIC LIBRARY SCIENCE, 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA, 2014) Aydın, Zeynep; Marcussen, Thomas; Ertekin, Alaattin Selçuk; Oxelman, Bengt
    Coalescent-based inference of phylogenetic relationships among species takes into account gene tree incongruence due to incomplete lineage sorting, but for such methods to make sense species have to be correctly delimited. Because alternative assignments of individuals to species result in different parametric models, model selection methods can be applied to optimise model of species classification. In a Bayesian framework, Bayes factors (BF), based on marginal likelihood estimates, can be used to test a range of possible classifications for the group under study. Here, we explore BF and the Akaike Information Criterion (AIC) to discriminate between different species classifications in the flowering plant lineage Silene sect. Cryptoneurae (Caryophyllaceae). We estimated marginal likelihoods for different species classification models via the Path Sampling (PS), Stepping Stone sampling (SS), and Harmonic Mean Estimator (HME) methods implemented in BEAST. To select among alternative species classification models a posterior simulation-based analog of the AIC through Markov chain Monte Carlo analysis (AICM) was also performed. The results are compared to outcomes from the software BP&P. Our results agree with another recent study that marginal likelihood estimates from PS and SS methods are useful for comparing different species classifications, and strongly support the recognition of the newly described species S. ertekinii.
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    Molecular Phylogenetic Analyses of Vicia L. (Fabaceae) Taxa Growing in the Southeastern Anatolia Region Based on Chloroplast TrnL Sequences
    (Uğur ÇAKILCIOĞLU, 2021) Kaplan, Alevcan; Ertekin, Alaattin Selçuk; Gündüzer, Esra
    In the current study, some natural Vicia L. taxa growing naturally in the Southeast Anatolia Region were investigated from the point of view of molecular phylogenetic. For this purpose, transfer ribonucleic acid Leucine (trnL) was sequenced in order to study the phylogenetic relationships of the Vicia L. species. Lathyrus inconspicuous L. var. inconspicuous and Lathyrus cassius Boiss. were used as an outgroup. The length of the trnL area was determined approximately as 269-534 bp. The trnL sequences were submitted to the NCBI database and accession numbers received. We obtained information about the point mutations, as well as the protected and the changing characters. The taxa distinguished in the section level were separated and also grouped in terms of proximity on the phylogenetic tree (sect. Narbonensis, sect. Lathyroides, sect. Peregrinae, sect. Vicia, sect. Lentopsis). While, sect. Hypechusa, sect. Ervilia and sect. Cracca were not detailed to a great level of informativity. The data acquired were observed to be greatly reliable in terms of their ability to be used in solving taxonomical problems of the Vicia L. taxa.