Caryologia. International Journal of Cytology, Cytosystematics and Cytogenetics 75(2): 119-127, 2022

Firenze University Press 
www.fupress.com/caryologia

ISSN 0008-7114 (print) | ISSN 2165-5391 (online) | DOI: 10.36253/caryologia-1540

Caryologia
International Journal of Cytology,  

Cytosystematics and Cytogenetics

Citation: Qin Zhao, Zitong Guo, Minx-
ing Gao, Wenbo Wang, Lingling Dou, 
Sahar H. Rashid (2022) Evaluation of 
genetic diversity and Gene-Pool of 
Pistacia khinjuk Stocks Based On Ret-
rotransposon-Based Markers. Caryolo-
gia 75(2): 119-127. doi: 10.36253/caryo-
logia-1540

Received: January 17, 2022

Accepted: July 06, 2022

Published: September 21, 2022

Copyright: © 2022 Qin Zhao, Zitong Guo, 
Minxing Gao, Wenbo Wang, Lingling 
Dou, Sahar H. Rashid. This is an 
open access, peer-reviewed article 
published by Firenze University Press 
(http://www.fupress.com/caryologia) 
and distributed under the terms of the 
Creative Commons Attribution License, 
which permits unrestricted use, distri-
bution, and reproduction in any medi-
um, provided the original author and 
source are credited.

Data Availability Statement: All rel-
evant data are within the paper and its 
Supporting Information files.

Competing Interests: The Author(s) 
declare(s) no conflict of interest.

Evaluation of genetic diversity and Gene-
Pool of Pistacia khinjuk Stocks Based On 
Retrotransposon-Based Markers

Qin Zhao1,*, Zitong Guo1, Minxing Gao1, Wenbo Wang1, Lingling 
Dou1, Sahar H. Rashid2

1.School of Chemistry and Chemical Engineering, Xianyang Normal University, Xianyang 
712000, Shaanxi, China
2.Technical College of Applied Science, Sulaimani Polytechnic University, Iraq
*Corresponding author. E-mail: zhaoqin2018@aliyun.com

Abstract. Pistachio genetic variety includes a wide range of female variations and 
male genotypes, and Iran is regarded as one of the critical sites for this diversity in 
the world. The genus Pistacia consists of eleven species that only have edible nuts 
and are commercially important. Four important species of pistachios include Pista-
cia vera, P. khinjuk Stocks, P. eurycarpa Yalt. (P. atlantica subsp. Kurdica Zoh.), and P. 
atlantica Dsef are found in Iran. Genetic diversity is one aspect of biological diversity 
that is extremely important for conservation strategies, especially in rare and narrowly 
endemic species. In Iran, there is no knowledge concerning the genomic organization 
of the population, genetic diversity, or phenotypic variations of the species. Pistacia 
khinjuk has eight distinct regional populations, all of which were studied for genetic 
variation and demographic organization because of the species’ therapeutic value. For 
this reason, we employed six inter-retrotransposon amplified polymorphism (IRAP) 
indicators and 15 mixed IRAP indicators to highlight genomic variation in this plant 
both within and across populations in this study. It was discovered that 73% of overall 
genomic variability was related to within-population variety and 27% was attributable 
to inter-population genomic divergence using the AMOVA test among the examined 
populations (PhiPT = 0.49, P = 0.010). It was discovered by the Mantel analysis that 
there was a substantial positive association between genomic isolation and geographic 
distance among the tested populations.  STRUCTURE analyses and population assign-
ment tests revealed some degree of gene flow among these populations. There was 
consistency between the MDS plots of communities and the NJ grouping of molecu-
lar information. Based on (IRAP) indicators, these findings demonstrated that regional 
communities of the plant Pistacia khinjuk are well distinct.

Keywords: gene flow, IRAP, Pistacia khinjuk, population differentiation.

INTRODUCTION

According to current estimates, the Pistacia genus has at least twelve 
species and has existed for around eighty million years (Karimi et al. 2009). 
Pistacia vera is the sole commercially viable species throughout this genus 



120 Qin Zhao et al.

(Fares et al. 2009). According to previous theories, the 
Pistacia genus originated in Europe and North Africa, 
but recent research suggests that it probably originated 
in Central Asia. Pistacia species have been reported to 
have spread over the world, based on initial research. 
One theory concentrates on the Mediterranean region 
of Europe, Northern Africa, and the Middle East. The 
eastern portion of the Zagros Mountains (Iran) and the 
Caucasus regions stretching from Crimea to the Caspian 
Sea are further options (Zohary 1952). Four important 
species of pistachios include P. vera, P. khinjuk Stocks, 
P. eurycarpa Yalt. (P. atlantica subsp. Kurdica Zoh.), and 
P. atlantica Dsef are found in Iran (Karimi et al. 2009). 
Pistacia vera, P. khinjuk, and P. atlantica are three of the 
most important wild Pistacia species that thrive in Iran. 
In Central Asia, which includes Turkmenistan, Afghani-
stan, and Northeast Iran, wild P. vera has grown in an 
area of approximately 75,000 hectares. In the Sarakhs 
region, P. vera grows in an area of approximately 17,500 
hectares (Behboodi 2003). With the biggest area under 
cultivation, Iran is the world’s leading pistachio export-
er, although recent years have seen poor yields relative 
to other nations, notably the United States and Turkey 
(Ahmad et al. 2003a).

Pistachio plants are long-living with a juvenile peri-
od of approximately 5–10 years. In addition, wild Pista-
cia species have edible seeds. They are used as rootstock 
seed sources for cultivated P. vera, and sometimes, fruit 
consumption, oil extraction, soap production, and as 
forest trees (Katsiotis et al. 2003).

Pistacia genetic diversity has been the subject of 
severa l investigations that have been conducted on 
the basis of examination of morphological, physiologi-
cal, and metabolic properties (Tayefeh Aliakbarkhany 
et al. 2013). A number of these methods have been 
employed to characterize pistachio cultivars across 
time, with R APD (Williams et al., 1990) being the 
most extensively utilized (Kaf kas et a l., 2002; Kat-
siotis et al., 2003). To examine the evolutionary con-
nection between Pistacia species and cultivars, AFLP 
and SSR approaches have also been utilized on pis-
tachio (Katsiotis et a l., 2003; Ibrahim Basha et a l., 
2007; Ahmad et al., 2003; Ahmad et al., 2005; Ahma-
di Afzadi et al., 2007). Pistachio pollination difficul-
ties may be solved by identif ying the genetic variety 
of male cultivars and genotypes in Iran because there 
is not enough data surrounding their genetic charac-
teristics (Ahmad et al., 2005). Most of the taxonomic 
and nomenclatura l ambig uit y in European species 
has been cleared up thanks to the later research. To 
examine the genetic diversity and connections among 
Pistacia khinjuk cu ltivars and landraces, random-

ly amplif ied poly morphic DNA (R APD), amplif ied 
fragment length polymorphism (AFLP), inter simple 
sequence repeat (ISSR), simple sequence repeat (SSR), 
and inter-retrotransposon amplif ied poly morphism 
(IR A P) were some molecu la r ma rker tech niques 
employed during recent years. 

There is also the potential that this species might 
have infra-specific taxonomic variants owing to the 
wide range of morphological variation throughout the 
nation. As a result, we conducted the first-ever nation-
wide demographic genetic evaluation and morpho-
metric examination of eight distinct regional groups. 
Through amplifying the segments of DNA between two 
retrotransposons for genomic analysis, we employed 
the inter-retrotransposon amplif ied poly morphism 
(IRAP) approach to detect insertional polymorphisms. 
It has been employed in various investigations on 
genomic variation (Smykal et al., 2011). The objectives 
of this research were to study genetic diversity among 
Pistacia khinjuk cultivars/populations with a different 
geographical origin by inter-retrotransposon amplified 
polymorphism (IR AP) method to determine genetic 
variation among and within materials using IR AP 
markers.

MATERIALS AND METHODS

Plant materials

During the months of July and August of 2019-2020, 
a number of 40 participants from eight natural commu-
nities of Pistacia khinjuk were collected in the Iranian 
provinces of Fars, Kerman, Sistan and Baluchestan, and 
Hormozgan (Table 1). Fresh leaves of 3-6 individuals 
from each population were collected and immediately 
dried in Silica Gel (Table 1). The accurate recognition of 
species was achieved through the utilization of numer-
ous sources (Pistacia khinjuk) (Kafkas et al., 2002; Katsi-
otis et al., 2003). Table 1 list the locations where samples 
were taken. 

DNA extraction and IRAP examination

Three to six plants from each group were randomly 
selected to collect fresh leaves. The silica gel powder was 
used to dry them. Genomic DNA was extracted using a 
CTAB stimulated charcoal technique (Esfandani-Bozch-
aloyi et al., 2019). By passing the isolated DNA across a 
0.8% agarose gel, the purity of the DNA was determined. 
The IRAP assessment was conducted using a collection 
of six outward-facing LTR primers (Smykal et al., 2011; 



121Evaluation of genetic diversity and Gene-Pool of Pistacia khinjuk Stocks Based On Retrotransposon-Based Markers

Table 2). Outward-facing LTR paired primers were addi-
tionally utilized in 15 distinct mixtures. PCR reactions 
were carried in a 25μl volume containing 10 mM Tris-
HCl buffer at pH 8; 50 mM KCl; 1.5 mM MgCl2; 0.2 
mM of each dNTP (Bioron, Germany); 0.2 μM of a sin-
gle primer; 20 ng genomic DNA and 3 U of Taq DNA 
polymerase (Bioron, Germany). An initial denaturation 
during 1 minute at 94°C was continued by 40 rounds 
divided into three sections, including  35 s at 95°C, the 
40s at 47°C, and the 55s at 72°C, which comprised the 
thermal schedule. The final extension was performed at 
72°C for 5 min. In order to see the amplification results, 
the gels were first to run on a 1 percent agarose solution 
and then stained with ethidium bromide. A molecular 
size ladder with a step size of 100 bp was used to deter-
mine the fragment size (Fermentas, Germany).

Data analyses

The IRAP profiles obtained for each samples were 
scored as binary characters. For grouping of the plant 
specimens, Ordination methods such as MDS (Multidi-
mensional scaling) analysis were also performed (Podani 
2000). Multivariate and all the necessary calculations 
were done in the PAST software, 2.17 (Hammer et al. 
2012). Parameter like Nei’s gene diversity (H), Shannon 
information index (I), number of effective alleles, and 

percentage of polymorphism were determined (Freeland 
et al., 2011).  

Nei’s genetic distance among populations was used 
for Neighbor Joining (NJ) clustering and Neighbor-Net 
networking (Freeland et al., 2011). Mantel test checked 
the correlation between geographical and genetic dis-
tance of the studied populations (Podani, 2000). These 
analyses were done by PAST ver. 2.17 (Hammer et al., 
2012), DARwin ver. 5 (2012) and SplitsTree4 V4.13.1 
(2013) software. 

AMOVA (Analysis of molecular variance) test 
(with 1000 permutations) as implemented in GenAlex 
6.4 (Peakall and Smouse, 2006), and Nei,s Gst analysis 
as implemented in GenoDive ver.2 (2013) were used to 
show genetic difference of the populations. Moreover, 
populations, genetic differentiation was studied by G’ST 
est = standardized measure of genetic differentiation, 
and D_est = Jost measure of differentiation.

The genetic structure of populations was stud-
ied by Bayesian based model STRUCTUR E analysis 
(Pritchard et al. 2000), and ma ximum likelihood-
based method of K-Means clustering of GenoDive ver. 
2. (2013). For STRUCTURE analysis, data were scored 
as dominant markers (Falush et al. 2007). The Evanno 
test was performed on STRUCTURE result to deter-
mine proper number of K by using delta K value. In 
K-Means clustering, two summary statistics, pseudo-F, 
and Bayesian Information Criterion (BIC), provide the 
best fit for k.

Gene flow was determined by (i) Calculating Nm 
an estimate of gene flow from Gst by PopGene ver. 1.32 
(1997) as: Nm = 0.5(1 - Gst)/Gst. This approach consid-
ers equal amount of gene flow among all populations. 
(ii) Population assignment test based on maximum like-
lihood as performed in Genodive ver. in GenoDive ver. 
2. (2013). The presence of shared alleles was determined 
by drawing the reticulogram network based on the least 
square method by DARwin ver 5. (2012). 

RESULTS 

Genetic variation across communities. 

Table 3 displays the genetic variation characteristics 
of Pistacia khinjuk collected from eight different geo-
graphic locations. Fars, Shiraz (population No. 1) exhib-
ited the largest polymorphism  percentage  (53.75 per-
cent) and the maximum  scores for gene variation (0.39) 
and Shanon data indicator  (0.40). Hormozgan, Bandar 
Abbas, and Genow (No.6) populations had the mini-
mum polymorphism rate (17.15%) and the minimum 
values for Shanon, data score (0.15), and He (0.18).

Table 1. Populations studied their locality and ecological features.

Pop.no Locality

1 Fars, Shiraz
2 Fars, 60 km south of Shiraz at the vicinity to Shiraz-Bushehr
3 Fars, Arjan Lake
4 Hormozgan, Bandar Lengeh
5 Hormozgan, Bandar Abbas
6 Hormozgan, Bandar Abbas, Genow
7 Kerman, Hamun-e Jaz Murian
8 Sistan and Baluchestan, Iranshahr

Table 2. IRAP primers based on SMYKAL et al. (2011) study.

IRAP Sequence (5´-3´) 

GU735096 ACCCCTTGAGCTAACTTTTGGGGTAAG 
GU980589 AGCCTGAAAGTGTTGGGTTGTCG 
GU929878 GCATCAGCCTGGACCAGTCCTCGTCC 
GU735096 CACTTCAAATTTTGGCAGCAGCGGATC 
GU929877 TCGAGGTACACCTCGACTCAGG 
GU980590 ATTCTCGTCCGCTGCGCCCCTACA 



122 Qin Zhao et al.

Population genetic differentiation 

AMOVA (PhiPT = 0.49, P = 0.010), and Gst analysis 
(0.844, p = 0.001) revealed significant difference among 
the studied populations (Table 4). Within-population 
variation accounted for 27% of overall genomic varia-
tion, whereas among-population genomic divergence 
accounted for 73% of variations. There were substan-
tial variations in the communities analyzed using pair-
wise AMOVA analysis. Moreover, we got high values 
for Hedrick standardized fixation index after 999 per-
mutation (G’st = 0.844, P = 0.001) and Jost, differentia-
tion index (D-est = 0.116, P = 0.001). Pistacia khinjuk 
has been shown to be genetically distinct across its geo-
graphical communities, according to these findings. 

Populations, genetic affinity

There were different clusters of plants from each 
population in the NJ tree. No transitional stages were 
found throughout the samples that we examined. These 
results showed that IRAP data could differentiate the 
populations of Pistacia khinjuk in three different major 
clusters or groups (Figure 1). The first significant cluster 
supported with significant bootstrapping values of 94% 
so that plants of Fars, Shiraz (No.1) comprised the first 
cluster due to morphological similarity. In contrast, the 
plants of Hormozgan, Bandar Abbas pop 5 (B=94%), 
formed the second cluster and finally, the population 2 
(Fars, 60 km south of Shiraz at the vicinity to Shiraz-
Bushehr) with 97% of support. While plants of Hormoz-
gan, Bandar Lengeh (pop 4), Hormozgan, Bandar Abbas, 
Genow (pop6), Kerman, Hamun-e Jaz Murian (pop7), 
Sistan and Baluchestan, Iranshahr (Pop 8) showed genet-
ic affinity and intermixture.

Genetic divergence and separation of populations 
Fars, 60 km South of Shiraz at the vicinity to Shiraz-
Bushehr (No.2) as well as Hormozgan, Bandar Abbas 
(No.5) and Hormozgan, Bandar Abbas, Genow (No.6) 
from the other communities is obvious in MDS design 
of IRAP information following 900 permutations (Fig-
ure.2). The other groups were genetically related to each 

Table 3. Genetic diversity parameters in the studied populations 
Pistacia khinjuk (N = number of samples, Na= number of different 
alleles; Ne = number of effective alleles, I= Shannon’s information 
index, He = gene diversity, UHe = unbiased gene diversity, P%= 
percentage of polymorphism, populations).

Pop N Na Ne I He UHe %P

Pop1 5 0.241 1.158 0.40 0.36 0.39 53.75%
Pop2 6 0.355 1.077 0.377 0.34 0.32 35.05%
Pop3 4 0.449 1.167 0.24 0.23 0.24 19.26%
Pop4 4 0.535 1.020 0.22 0.25 0.28 43.13%
Pop5 4 0.231 1.088 0.30 0.22 0.25 31.63%
Pop6 3 0.355 1.121 0.15 0.18 0.12 17.15%
Pop7 6 0.538 1.091 0.207 0.23 0.280 23.93%
Pop8 5 0.291 1.333 0.231 0.333 0.167 21.59%

Table 4. Analysis of molecular variance (AMOVA) of the studied 
species.

Source df SS MS Est. Var. % ΦPT

Among Pops 55 116.596 22.329 17.077 73% 73%
Within Pops 14 33.757 29.580 33.590 27%
Total 69 150.342 51.773 100%

df: degree of freedom; SS: sum of squared observations; MS: mean 
of squared observations; EV: estimated variance; ΦPT: proportion 
of the total genetic variance among individuals within an accession, 
(P < 0.001). 

Figure 1. NJ tree of populations in Pistacia khinjuk based on IRAP 
data. Bootstrap value from1000 replicates are indicated above 
branches (Population numbers are according to Table 1).



123Evaluation of genetic diversity and Gene-Pool of Pistacia khinjuk Stocks Based On Retrotransposon-Based Markers

other. A substantial association between genetic isolation 
and geographic separation was found in these communi-
ties after a Mantel analysis with 5000 permutations (r = 
0.55, P = 0.001). We possess isolation by distance (IBD) 
in the Pistacia khinjuk species because communities that 
are spatially separated exhibit less genetic exchange.

Populations genetic structure

There are three genetic subgroups present when 
K = 3. When the Evanno examination was run on the 
STRUCTURE evaluation, it yielded a comparable out-
come, with a large peak appearing at k=3. Both studies 
found genetic differentiation in Pistacia khinjuk groups.

STRUCTURE plot based on k = 3 revealed a genetic 
difference of populations 1-3 (differently colored), as well 

as 4-6 (Figure.3). But it showed genetic affinity between 
populations 7, 8 (similarly colored). The mean Nm = 0.29 
was obtained for all IRAP loci, which indicates a low 
amount of gene flow among the populations and sup-
ports genetic stratification as indicated by K-Means and 
STRUCTURE analyses. It was also found that there was 
no substantial genetic exchange between these groups 
when the demographic allocation experiment was per-
formed. It was found that populations 1 and 5, as well 
as populations 3 and 6, also 2 and 5  shared certain 
alleles, according to a reticulogram created using the 
least square approach (Figure not shown). Due to the 
proximity of both communities, our MDS map resulted 
in the same classification. Genetic differentiation among 
Pistacia khinjuk communities is clearly evident from 
the STRUCTURE plot, which shows that the common 

Figure 2. MDS plot of populations in Pistacia khinjuk based on IRAP data. (Population numbers are according to Table 1).

Figure 3. STRUCTURE plot of Pistacia khinjuk populations based on k = 3 of IRAP data. (Population numbers are according to Table 1).



124 Qin Zhao et al.

genetic alleles throughout these communities represent 
only a small percentage of the genomes. It was possible 
to collect 75 IRAP bands totally; 15 of them were con-
sidered exclusive. Two to four unique bands were found 
in communities 3 and 6, and 8. 

DISCUSSION

Genetic and breeding investigations benefit greatly 
from population genetics analysis. Data on the degrees 
of genomic diversity, genetic diversity distribution with-
in and across communities, inbreeding and outcrossing, 
the efficient community size and bottleneck are  pre-
sented by these studies (Ellis and Burke, 2007). Demo-
graphic genomic research has significantly advanced 
with the introduction of molecular biomarkers. Among 
the various Pistacia accessions, such indicators have 
been utilized to detect possibly unique genotypes (Mar-
tin et al.,1997). To examine the genetic diversity and 
connections among Pistacia khinjuk cultivars and lan-
draces, randomly amplified polymorphic DNA (RAPD), 
amplified fragment length polymorphism (AFLP), inter 
simple sequence repeat (ISSR), simple sequence repeat 
(SSR), and inter-retrotransposon amplified polymor-
phism (IRAP) were some molecular marker techniques 
employed during recent years (Wiesnerova and Wiesner, 
2004; ren and khayatnezhad 2021; khayatnezhad 
and Nasehi 2021, i et al., 2021; jia et al, 2021). The 
majority of plant genomes are made up of transposable 
elements, especially retrotransposons. Genomic variety 
is generated through their replication,  rendering  them 
an ideal repository of molecular indicators (Smykal et 
al., 2011; GHOLAMIN and KHAYATNEZHAD, 2020a; 
2020b, 2020c). Through replicating the sections of DNA 
between two retrotransposons, the inter-retrotransposon 
amplified polymorphism (IRAP) approach reveals inser-
tional polymorphisms. Several genomic investigations 
have relied on this technique (Smykal et al., 2011).

Iranian Pistacia khinjuk’s genomic variation was 
evaluated during this research in order to help in the 
preservation of its germplasm. In order to formu-
late suitable conservation approaches, the data gath-
ered on genetic diversity between and within various 
groups will be used to establish a solid foundation for 
future research. Iranian Pistacia khinjuk is very diverse, 
according to the results of the current study, which is 
likely owing to differences in genetic backgrounds across 
different geographical areas, breeding pressure, and/
or restricted exchange of genomic information. Our 
findings demonstrate the distinct character of the Ira-
nian Pistacia khinjuk germplasm, hence bolstering the 

rationale for deploying more intensive characterization, 
preservation, and reproduction techniques. It was pos-
sible to determine the genomic variation of the Iranian 
population employing  IRAP indicators. The results of 
this molecular assay in fingerprinting the 8 Pistacia 
khinjuk population are presented in Table 3. A total of 
75 bands were amplified by the six primers, an average 
of 8 bands per primer, of which 62 (84%) were poly-
morphic. The total number of amplified fragments was 
between 6 to 10, and the number of polymorphic frag-
ments ranged from 5 to 9. NJ clustering and MDS plot 
(Figs 1–2), of the studied populations did not entirely 
delimit the studied populations and revealed that some 
plants in these populations are intermixed. In MDS plot, 
a higher degree of intermixture occurred between popu-
lations of 7, 8 and seem to be an area that populations 
of 1,4 and 7, 8 together with the gene exchange (Fig. 2). 
These results indicate that the geographical populations 
of Pistacia khinjuk are not genetically differentiated from 
each other. Evanno test performed on STRUCTURE 
analysis produced the best number of k = 3. This genetic 
grouping is in agreement with NJ clustering result pre-
sented before.

Throughout the semi-arid and dry farming areas 
of Iran, pistachio has significant socioeconomic and 
environmental implications (Kafkas et al., 2006). More 
than 300 pistachio genotypes have been identified in 
Iran, which is home to a diverse range of Pistacia spe-
cies. Pistachio development and preservation efforts may 
thus benefit from Iran’s Pistachio germplasm. It is con-
sequently vital to evaluate genomic variation and inter-
actions among cultivars of Iranian Pistachio employing 
discriminative and reliable indicators.

Genetic diversity is of fundamental importance to 
the survival of a species (Sun and Khayatnezhad 2021; 
Tao et al, 2021; Wang et al, 2021; Xu et al., 2021; Yin et 
al., 2021; Zhang et al, 2021).

There were three primers ultimately chosen for fur-
ther testing out of the original six employed during ISSR 
following initial screening  (Kafkas et al., 2006; Zheng, et 
al., 2021; Zhu et al, 2021), in  accordance with  the stated 
findings. The three primers replicated a maximum of 28 
bands, with each primer amplifying an average of 9.3 
bands  among  13 types  (or 46 percent),  which were poly-
morphic. Approximately seven to 12 pieces of DNA were 
replicated, and three to five segments of DNA were poly-
morphic. 

Between 22 Iranian cultivars and wild Pistachio 
varieties, Mirzaei et al. (2005) found 80% polymor-
phism. Because of the changes in genotypes and primers 
between the present research and the previous study, it is 
possible that variations  in polymorphism are observed. 



125Evaluation of genetic diversity and Gene-Pool of Pistacia khinjuk Stocks Based On Retrotransposon-Based Markers

82.41%% polymorphism was discovered by Katsiotis and 
colleagues (2003);  there were 18.2 polymorphic bands 
out of a total number of 22.11. In a study reported by 
Golan-Goldhirsh et al. (2004) in assessing polymor-
phisms among 28 Mediterranean Pistacia accessions, 
twenty-seven selected primers produced 259 total bands 
(average 9.59), and 86.1 of them were polymorphic. 
The genotypes investigated by Khadivi (2018) showed 
a significant degree of polymorphism. 18 alleles were 
produced by seven SSR primer pairs, thirteen among 
them were polymorphic across the genotypes. Averag-
ing 2.57, the polymorphic alleles ranged from one for 
Ptms9, Ptms40, Ptms41, and Ptms42 loci to five for the 
Ptms7 locus. Allele lengths ranging from 120 to 250 bp 
were replicated. The coefficients of genomic homology 
between two individuals ranged from 0.20 to 0.75. To 
summarize, it can be concluded that  one of two signifi-
cant hubs of Pistacia variety is Iran. Genomic variation 
among several Pistacia khinjuk communities employ-
ing IRAP indicators was studied during the current 
research,  offering  useful data in the effort to conserve 
the species’ germplasm. Because Iranian Pistacia khin-
juk possesses limited genetic variety, its preservation 
and prospective reproduction initiatives are very vital. 
Preserving, core  collecting, and reproducing the Pistacia 
khinjuk will be made easier thanks to the outcomes of 
this research.

ACKNOWLEDGEMENTS

The National Natural Science Foundation of China 
(31872175);Special scientific Research Project of Educa-
tion Department of Shaanxi Province (21JK0965); Key R 
& D program of Shaanxi Province (2019NY-103).

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Water Supply.


	Caryologia
	International Journal of Cytology, 
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	Volume 75, Issue 2 - 2022
	Firenze University Press
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