Studying the genetic structure of Quercus robur forest stands on anthropogenically transformed territories using introns of the β-tubulin gene Cover Image

Studying the genetic structure of Quercus robur forest stands on anthropogenically transformed territories using introns of the β-tubulin gene
Studying the genetic structure of Quercus robur forest stands on anthropogenically transformed territories using introns of the β-tubulin gene

Author(s): Y.V. Pirko, A.E. Demkovich, L.O. Kalafat, Y.B. Blume, O.A. Lykholat
Subject(s): Environmental Geography, Evaluation research, Human Ecology, Environmental interactions
Published by: Дніпропетровський національний університет імені Олеся Гончара
Keywords: spatial structure; molecular markers; polymerase chain reaction;

Summary/Abstract: Based on the analysis of the intron polymorphism of β-tubulin genes, the genetic variability of old Quercus robur L. trees from “Holosiivsky” NPP was investigated. The genotyping of 55 old Q. robur trees was carried out; 40 polymorphic and one monomorphic (about 880 bp) TBR fragments were found. High frequency (70–90%) of occurrence of fragments with an approximate molecular weight of 275, 490, 500, and 1110 bp was observed.The genetic polymorphism of old Q. robur trees was assessed as quite high: РІС is 0.22 – 0.39, the effective number of alleles per locus was 1.174–1.268. The Shannon information index was in the range of 0.204–0.269.The geographical differentiation of the genetic structure of centuries-old oak trees from “Holosiivsky” NPP was not pronounced. The share of inter-selection genetic variability (AMOVA) accounts for about 6% of genetic variability, and the geographic component – about 1%. Around 93% of genetic variability is concentrated on the individual level. Using the ТВР method, we found that Q. robur forest stands do not have a stabilized genetic and visible spatial structure, but at the same time they possess a sufficiently large genetic diversity.

  • Issue Year: 26/2018
  • Issue No: 4
  • Page Range: 269-275
  • Page Count: 7
  • Language: English