Genetic diversity and population genetic structure of the endangered kazakh endemic Oxytropis almaatensis (fabaceae)

Abstract

The central Asian narrow endemic species Oxytropis almaatensis is a highly endangered plant with a very restricted distribution in the Tian Shan Mountains. In this study, we present the basic conservation genetic characteristics of this species based on a DNA fingerprinting approach in order to provide yardsticks for official conservation agencies to develop an informed conservation strategy. The three currently known populations with two allopatric subpopulations at each site were sampled in the Trans-Ili Alatau Mountains (S Kazakhstan) and subject to AFLP analysis using four primer combinations. This was supplemented by flow cytometry of plants with remarkably different body sizes to check for possible ploidy differences. The presence or absence of AFLP bands was used in downstream analyses utilising various population genetic approaches. Genetic diversity of O. almaatensis was found to be on the upper end of the spectrum typical for other outcrossing species of similar life-history characteristics. Most of the genetic variation was attributable to within (sub) population variance, and we also found a remarkable gene flow between the populations. However, the geographically closer populations were found to be more close to each other genetically, and population differentiation showed the same pattern with a significant isolation by distance. Similar patterns were not found for subpopulations of the geographically more close populations, and the subpopulations living along the same river valley were found to be genetically more cohesive. Flow cytometry did not reveal any difference in DNA content between the small and large forms of the species. All these results suggest the presence of two separate populations at the three localities of this species. Conservation efforts should focus on these two populations, and, given the relatively high genetic diversity within each population, both ex situ and in situ conservation measures can be effectively carried out based on the currently known populations of this narrow endemic species.

The molecular taxonomy of three endemic Central Asian species of Ranunculus(Ranunculaceae)

“…This work is part of a national program aiming to evaluate the genetic variation in the wild flora of Kazakhstan [28]. The project, along with DNA barcoding analyses of wild plant species [29][30][31][32], is also incorporating studies using simple sequence repeats (SSR) [33], amplified fragment length polymorphism (AFLP) [34], and single nucleotide polymorphism (SNP) [35] markers in a collaboration between local botanists and geneticists.…”

Plant height variation and genetic diversity between Prunus ledebouriana (Schlecht.) YY Yao and Prunus tenella Batsch based on using SSR markers in East Kazakhstan

“…One of the most informative types of DNA markers are microsatellite markers (SSR), which are characterized by a high level of polymorphism and codominant inheritance ( Kalendar, 2011 ; Genievskaya et al, 2020 ). Analysis of population genetics using microsatellite markers provides information on the overall levels of genetic diversity, genetic structure, and effective population size, which are typically critical when developing effective management strategies for the research of genetic resources of endemic plant species ( Turuspekov & Abugalieva, 2015 ; Abugalieva & Turuspekov, 2017 ; Almerekova et al, 2018 ; Almerekova et al, 2020 ; Genievskaya et al, 2020 ). Various microsatellite markers have been successfully used to study the phylogenetic relationships between various cultivated almonds (common almond P. dulcis (Mill.)…”

Cross-Genera Transferability of Microsatellite Markers and Phylogenetic Assessment of Three Salsola Species from Western Kazakhstan

“…Currently, SSRs (or microsatellite) markers are one of the most commonly used types of polymerase chain reaction (PCR)-based markers that are efficient in assessing the genetic structure of populations (Westman and Kresovich, 1997;Almerekova et al, 2018). SSRs have several useful characteristics, including even distribution throughout the plant genome, codominant inheritance, and high marker reliability.…”