Genetic diversity of Parrotia persica (DC) C.A. Meyer in Hyrcanian forests

Document Type : Research Paper

Authors

1 Ph.D. graduate, Dept. of Sciences and Forest Engineering, Faculty of Natural Resources, Sari University of Agricultural

2 Prof., Dept. of Sciences and Forest Engineering, Faculty of Natural Resources, Sari University of Agricultural Sciences and Natural Resources, I. R. Iran

3 Assistant prof., Tabarestan Agricultural Genetics and Biotechnology Research Institute, I. R. Iran

10.22034/ijf.2023.330465.1858

Abstract

Parrotia persica, a native species of the Hyrcanian forests, is distributed from the west to the east of the forests of northern Iran. This study investigated the genetic diversity of Parrotia persica using molecular information from populations collected from three habitats in Gilan, four habitats in Mazandaran, and three habitats in Golestan. Using the Amplified Fragment Length Polymorphism (AFLP) marker, 826 bands were obtained, with more than 90% of the bands being polymorphic. The mean content of polymorphic information (PIC) and marker index (MI) were calculated to be 0.24 and 22.4, respectively. Cluster analysis based on the Jaccard similarity coefficient and Unweighted Pair Group Method with Arithmetic Mean (UPGMA) algorithm revealed a wide variety in the collected samples. Based on the Jaccard similarity coefficient, the range of genetic similarity varied from 0.26 to 0.44. The results of the molecular analysis of variance (AMOVA) showed that 21% of the total genetic diversity in Parrotia persica populations was due to genetic diversity between the populations of the three provinces of Golestan, Mazandaran, and Guilan. Genetic diversity within the populations of the habitats accounted for 79%. It can be concluded that there is no difference between the populations based on the diversity of molecular information, but there is diversity within the populations. The diversity among the evangelical populations seems to be more influenced by the environment than genetically. However, for a more accurate conclusion, it is suggested that different ecotones of the population be examined with molecular markers.

Keywords

Main Subjects

References

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Iranian Journal of Forest
Volume 15, Issue 3
December 2023
Pages 313-327

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History

  • Receive Date: 27 February 2022
  • Revise Date: 13 December 2022
  • Accept Date: 10 January 2023

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