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Contemporary Problems of Ecology

2023 year, number 5

Genetic diversity of coenopopulations of Larix sibirica Ledeb. and Picea obovata Ledeb. on Taimyr

N. V. ORESHKOVA1,2,3, T. S. SEDEL′NIKOVA2, A. V. PIMENOV2
1FRC KSC SB RAS, Krasnoyarsk, Russia
2V.N. Sukachev Institute of Forest SB RAS, Krasnoyarsk, Russia
3Siberian Federal University, Krasnoyarsk, Russia
Keywords: Larix sibirica, Picea obovata, microsatellites, genetic diversity, heterozygosity, Taimyr

Abstract

DNA polymorphism of cenopopulations Larix sibirica Ledeb. and Picea obovata Ledeb., growing in different ecological conditions of the southern part of the Taimyr Peninsula, was studied, their genetic diversity in nuclear microsatellite loci was estimated: Na = 3.30, Ne = 1.75, Ho = 0.263, He = 0.366 - in L. sibirica and Na = 2.92, Ne = 1.59, Ho = 0.351, He = 0.338 - in P. obovata. In general, a deficiency of heterozygous genotypes (F = 0.177) in the studied populations of Siberian larch, and an excess of heterozygous genotypes ( F = -0.051) in populations of Siberian spruce were noted. The genetic features of these species under the influence of technogenic emissions in the Norilsk industrial region were examined. In L. sibirica, a higher allelic diversity and a higher level of inbreeding were found in the cenopopulation from an ecologically safe area, while a higher level of heterozygosity and a lower value of the inbreeding coefficient were noted in the area with an increased level of pollution. Comparison of the cenopopulation samples of P. obovata showed that the genetic structure of the stand from the ecologically favorable area is practically in equilibrium, while a 10 % excess of heterozygotes is recorded in the more polluted area. Despite certain differences between the two studied species, in general, cenopopulations of L. sibirica and P. obovata growing in the areas with an increased, but acceptable level of technogenic load in the Norilsk industrial region are characterized by higher values of almost all parameters of genetic variability. We suggest that this pattern reflects the activation of adaptive processes in coniferous populations from extreme growing conditions.