PHYLOGENETIC ASSESSMENT OF TREE SPECIES OF ACONITUM L. FROM KAZAKHSTAN BY USING ITS AND MATK MARKERS

  • Sh. Almerekova Institute of Plant Biology and Biotechnology, Al-Farabi Kazakh National University
  • A. Ivaschenko Ile-Alatau State Nature Reserve
  • R. Kaparbay Institute of Plant Biology and Biotechnology
  • A. Myrzagalieva Astana International University
  • Ye. Turuspekov Institute of Plant Biology and Biotechnology, Al-Farabi Kazakh National University
Keywords: Aconitum, DNA barcoding, ITS, matK, phylogenetics, haplotype network

Abstract

The Aconitum L. is a diverse genus consisting of more than 300 species all over the World, including 11 species grown in Kazakhstan. The phylogeny of the genus was mostly studied by using internal transcribed sequences (ITS) of the nuclear genome and maturase K (matK) of the chloroplast genome. Therefore, in this study it was decided to assess the phylogenetic position of three local species A. leucostomum, A. soongoricum and A. apetalum, by using ITS and matK. The application of Maximum-Likelihood (ML) method suggested that the A. soongoricum belong to subgenus Aconitum, and A. leucostomum and A. apetalum to the subgenus Lycoctonum, which was congruent to previous taxanomic studies for this genus. The Median-Joining network using ITS suggested that A. sachalinense belongs to the group of processors of the genus among species that were involved in the analysis. The study is the first attempt to understand phylogenetic relationship of three species of Aconitum grown in Kazakhstan. 

Author Biographies

Sh. Almerekova , Institute of Plant Biology and Biotechnology, Al-Farabi Kazakh National University

Biodiversity and Bioresources Department

 

Ye. Turuspekov, Institute of Plant Biology and Biotechnology, Al-Farabi Kazakh National University

Biodiversity and Bioresources Department

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Published
2020-11-20
How to Cite
Almerekova , Sh., A. Ivaschenko, R. Kaparbay, A. Myrzagalieva, and Ye. Turuspekov. 2020. “PHYLOGENETIC ASSESSMENT OF TREE SPECIES OF ACONITUM L. FROM KAZAKHSTAN BY USING ITS AND MATK MARKERS ”. EurasianUnionScientists 2 (10(79), 4-9. https://doi.org/10.31618/ESU.2413-9335.2020.2.79.1036.